!Series_title	"Comparison of RNA responses to fentanyl in two mouse strains"
!Series_geo_accession	"GSE222569"
!Series_status	"Public on Jan 10 2023"
!Series_submission_date	"Jan 10 2023"
!Series_last_update_date	"Jan 25 2023"
!Series_pubmed_id	"34710466"
!Series_summary	"An increase in opioid-overdose deaths was evident before the COVID-19 pandemic, and has escalated since its onset. Fentanyl, a highly potent synthetic opioid, is the primary driver of these recent trends. The current study used two inbred mouse strains, C57BL/6 J and A/J, to investigate the genetics of behavioral responses to fentanyl. Mice were tested for conditioned place preference and fentanyl-induced locomotor activity. C57BL/6J mice formed a conditioned place preference to fentanyl injections and fentanyl increased their activity. Neither effect was noted in A/J mice. We conducted RNA-sequencing on the nucleus accumbens of mice used for fentanyl-induced locomotor activity. Surprisingly, we noted few differentially expressed genes using treatment as the main factor. However many genes differed between strains. We validated differences in two genes: suppressor APC domain containing 1 (Sapcd1) and Glyoxalase 1 (Glo1), with quantitative PCR on RNA from the nucleus accumbens and prefrontal cortex. In both regions A/J mice had significantly higher expression of both genes than did C57BL/6 J. In prefrontal cortex, fentanyl treatment decreased Glo1 mRNA. Glyoxalase 1 catalyzes the detoxification of reactive alpha-oxoaldehydes such as glyoxal and methylglyoxal, is associated with anxiety and activity levels, and its inhibition reduces alcohol intake. We suggest that future studies assess the ability of Glo1 and related metabolites to modify opioid intake."
!Series_overall_design	"Comparison of RNA responses of the nucleus accumbens (brain) across both sexes in two strains (A/J and C57BL/6J) in response to intraperitoneal administration of fentanyl HCL at a dose of 0.2 mg/kg or saline (N=4/sex/strain/treatment)"
!Series_type	"Expression profiling by high throughput sequencing"
!Series_contributor	"Charles,R,Farber"
!Series_contributor	"Emilie,F,Rissman"
!Series_sample_id	"GSM6926342 GSM6926343 GSM6926344 GSM6926345 GSM6926346 GSM6926347 GSM6926348 GSM6926349 GSM6926350 GSM6926351 GSM6926352 GSM6926353 GSM6926354 GSM6926355 GSM6926356 GSM6926357 GSM6926358 GSM6926359 GSM6926360 GSM6926361 GSM6926362 GSM6926363 GSM6926364 GSM6926365 GSM6926366 GSM6926367 GSM6926368 GSM6926369 GSM6926370 GSM6926371 GSM6926372 GSM6926373 "
!Series_contact_name	"Charles,R,Farber"
!Series_contact_email	"crf2s@virginia.edu"
!Series_contact_department	"Center for Public Health Genomics"
!Series_contact_institute	"University of Virginia"
!Series_contact_address	"P.O. Box 800717"
!Series_contact_city	"Charlottesville"
!Series_contact_state	"VA"
!Series_contact_zip/postal_code	"22908"
!Series_contact_country	"USA"
!Series_supplementary_file	"ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE222nnn/GSE222569/suppl/GSE222569_fentanyl_gene_count_matrix.csv.gz"
!Series_platform_id	"GPL13112"
!Series_platform_taxid	"10090"
!Series_sample_taxid	"10090"
!Series_relation	"BioProject: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA922543"

!Sample_title	"A/J_F_Saline_nucleus accumbens_1"	"A/J_F_Saline_nucleus accumbens_2"	"A/J_F_Saline_nucleus accumbens_3"	"A/J_F_Saline_nucleus accumbens_4"	"A/J_F_Fentanyl_nucleus accumbens_1"	"A/J_F_Fentanyl_nucleus accumbens_2"	"A/J_F_Fentanyl_nucleus accumbens_3"	"A/J_F_Fentanyl_nucleus accumbens_4"	"A/J_M_Saline_nucleus accumbens_1"	"A/J_M_Saline_nucleus accumbens_2"	"A/J_M_Saline_nucleus accumbens_3"	"A/J_M_Saline_nucleus accumbens_4"	"A/J_M_Fentanyl_nucleus accumbens_1"	"A/J_M_Fentanyl_nucleus accumbens_2"	"A/J_M_Fentanyl_nucleus accumbens_3"	"A/J_M_Fentanyl_nucleus accumbens_4"	"C57BL/6J_F_Saline_nucleus accumbens_1"	"C57BL/6J_F_Saline_nucleus accumbens_2"	"C57BL/6J_F_Saline_nucleus accumbens_3"	"C57BL/6J_F_Saline_nucleus accumbens_4"	"C57BL/6J_F_Fentanyl_nucleus accumbens_1"	"C57BL/6J_F_Fentanyl_nucleus accumbens_2"	"C57BL/6J_F_Fentanyl_nucleus accumbens_3"	"C57BL/6J_F_Fentanyl_nucleus accumbens_4"	"C57BL/6J_M_Saline_nucleus accumbens_1"	"C57BL/6J_M_Saline_nucleus accumbens_2"	"C57BL/6J_M_Saline_nucleus accumbens_3"	"C57BL/6J_M_Saline_nucleus accumbens_4"	"C57BL/6J_M_Fentanyl_nucleus accumbens_1"	"C57BL/6J_M_Fentanyl_nucleus accumbens_2"	"C57BL/6J_M_Fentanyl_nucleus accumbens_3"	"C57BL/6J_M_Fentanyl_nucleus accumbens_4"
!Sample_geo_accession	"GSM6926342"	"GSM6926343"	"GSM6926344"	"GSM6926345"	"GSM6926346"	"GSM6926347"	"GSM6926348"	"GSM6926349"	"GSM6926350"	"GSM6926351"	"GSM6926352"	"GSM6926353"	"GSM6926354"	"GSM6926355"	"GSM6926356"	"GSM6926357"	"GSM6926358"	"GSM6926359"	"GSM6926360"	"GSM6926361"	"GSM6926362"	"GSM6926363"	"GSM6926364"	"GSM6926365"	"GSM6926366"	"GSM6926367"	"GSM6926368"	"GSM6926369"	"GSM6926370"	"GSM6926371"	"GSM6926372"	"GSM6926373"
!Sample_status	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"	"Public on Jan 10 2023"
!Sample_submission_date	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"
!Sample_last_update_date	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"	"Jan 10 2023"
!Sample_type	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"	"SRA"
!Sample_channel_count	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"	"1"
!Sample_source_name_ch1	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"	"nucleus accumbens"
!Sample_organism_ch1	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"	"Mus musculus"
!Sample_characteristics_ch1	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"	"tissue: nucleus accumbens"
!Sample_characteristics_ch1	"genotype: A/J"	"genotype: A/J"	"genotype: A/J"	"genotype: A/J"	"genotype: A/J"	"genotype: A/J"	"genotype: A/J"	"genotype: A/J"	"genotype: A/J"	"genotype: A/J"	"genotype: A/J"	"genotype: A/J"	"genotype: A/J"	"genotype: A/J"	"genotype: A/J"	"genotype: A/J"	"genotype: C57BL/6J"	"genotype: C57BL/6J"	"genotype: C57BL/6J"	"genotype: C57BL/6J"	"genotype: C57BL/6J"	"genotype: C57BL/6J"	"genotype: C57BL/6J"	"genotype: C57BL/6J"	"genotype: C57BL/6J"	"genotype: C57BL/6J"	"genotype: C57BL/6J"	"genotype: C57BL/6J"	"genotype: C57BL/6J"	"genotype: C57BL/6J"	"genotype: C57BL/6J"	"genotype: C57BL/6J"
!Sample_characteristics_ch1	"treatment: Saline"	"treatment: Saline"	"treatment: Saline"	"treatment: Saline"	"treatment: Fentanyl"	"treatment: Fentanyl"	"treatment: Fentanyl"	"treatment: Fentanyl"	"treatment: Saline"	"treatment: Saline"	"treatment: Saline"	"treatment: Saline"	"treatment: Fentanyl"	"treatment: Fentanyl"	"treatment: Fentanyl"	"treatment: Fentanyl"	"treatment: Saline"	"treatment: Saline"	"treatment: Saline"	"treatment: Saline"	"treatment: Fentanyl"	"treatment: Fentanyl"	"treatment: Fentanyl"	"treatment: Fentanyl"	"treatment: Saline"	"treatment: Saline"	"treatment: Saline"	"treatment: Saline"	"treatment: Fentanyl"	"treatment: Fentanyl"	"treatment: Fentanyl"	"treatment: Fentanyl"
!Sample_molecule_ch1	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"	"total RNA"
!Sample_extract_protocol_ch1	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."	"Flash frozen tissues were homogenized on ice in RLT buffer (Qiagen) containing 40 mM DTT with a Tissue-Tearor (BiosSpec Products, Inc) at low speed (setting 3) for 10 s. The resulting lysate was extracted with an equal volume of acid-phenol:chloroform (Thermo Fisher, cat# AM9722) and RNA was further purified from the aqueous phase with RNeasy mini kit (Qiagen) following the manufacture's recommendations. Samples were DNased (DNA-free DNA removal kit, Thermo Fisher) and RNA concentrations were determined using a Qubit Fluorimeter (Thermo Fisher). DNA-free total RNA was sent to Psomagen (Rockville, MD) for mRNA-seq. The 32 samples were sequenced to an average read count depth of 14.89 ± 2.9 million."
!Sample_extract_protocol_ch1	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"	"Libraries were constructed using the Illumina TruSeq Stranded mRNA Library Prep Kit"
!Sample_taxid_ch1	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"	"10090"
!Sample_description	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"	"fentanyl_gene_count_matrix.csv"
!Sample_data_processing	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "	"Adaptors from raw sequence files were trimmed using Trimmomatic (https://doi.org/10.1093/bioinformatics/btu170) "
!Sample_data_processing	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "	"HISAT2 was used to align sequence reads to the GRCm38 (mm10) genome reference (https://doi.org/10.1038/nmeth.3317) "
!Sample_data_processing	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "	"StringTie was used for quantification of gene expression "
!Sample_data_processing	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "	"DESeq2 was used to conduct differential gene expression analysis. DESeq2 fits a negative binomial generalized linear model for each gene along with a Wald test for significance testing. A total of three differential analyses were conducted. Significant genes were determined from each analysis using the default Benjamini-Hochberg FDR of <0.05. The three univariate models were fit using strain, sex, and treatment independently (n = 32). "
!Sample_data_processing	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"	"Assembly: mm10"
!Sample_data_processing	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"	"Supplementary files format and content: raw read count matrix where is row is a gene and each column is a sample"
!Sample_platform_id	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"	"GPL13112"
!Sample_contact_name	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"	"Charles,R,Farber"
!Sample_contact_email	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"	"crf2s@virginia.edu"
!Sample_contact_department	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"	"Center for Public Health Genomics"
!Sample_contact_institute	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"	"University of Virginia"
!Sample_contact_address	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"	"P.O. Box 800717"
!Sample_contact_city	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"	"Charlottesville"
!Sample_contact_state	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"	"VA"
!Sample_contact_zip/postal_code	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"	"22908"
!Sample_contact_country	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"	"USA"
!Sample_data_row_count	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"	"0"
!Sample_instrument_model	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"	"Illumina HiSeq 2000"
!Sample_library_selection	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"	"cDNA"
!Sample_library_source	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"	"transcriptomic"
!Sample_library_strategy	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"	"RNA-Seq"
!Sample_relation	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663056"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663055"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663054"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663053"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663052"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663051"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663050"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663049"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663048"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663047"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663046"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663045"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663044"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663043"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663042"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663041"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663040"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663039"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663038"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663037"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663036"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663035"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663034"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663033"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663032"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663031"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663030"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663029"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663028"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663027"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663026"	"BioSample: https://www.ncbi.nlm.nih.gov/biosample/SAMN32663025"
!Sample_relation	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991865"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991866"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991867"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991868"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991869"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991870"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991871"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991872"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991873"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991874"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991875"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991876"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991877"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991878"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991879"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991880"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991881"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991882"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991883"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991884"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991885"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991886"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991887"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991888"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991889"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991890"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991891"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991892"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991893"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991894"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991895"	"SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRX18991896"
!Sample_supplementary_file_1	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"	"NONE"
!series_matrix_table_begin
"ID_REF"	"GSM6926342"	"GSM6926343"	"GSM6926344"	"GSM6926345"	"GSM6926346"	"GSM6926347"	"GSM6926348"	"GSM6926349"	"GSM6926350"	"GSM6926351"	"GSM6926352"	"GSM6926353"	"GSM6926354"	"GSM6926355"	"GSM6926356"	"GSM6926357"	"GSM6926358"	"GSM6926359"	"GSM6926360"	"GSM6926361"	"GSM6926362"	"GSM6926363"	"GSM6926364"	"GSM6926365"	"GSM6926366"	"GSM6926367"	"GSM6926368"	"GSM6926369"	"GSM6926370"	"GSM6926371"	"GSM6926372"	"GSM6926373"
!series_matrix_table_end
