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RNA sequencing analysis of postmortem human Brodmann Area 9 in the University of Texas Health Science Center at Houston Brain Collection

GSE182321 Homo sapiens (human) RNA-seq (gene expression) 41 samples Submitted 2021/08/20 Platform GPL11154
At a glance

RNA-seq (gene expression) · human · 41 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
41 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
From Mendez et al 2021 "Angiogenic Gene Networks are Dysregulated in Opioid Use Disorder: Evidence from Multi-Omics and Imaging of Postmortem Human Brain": Opioid use disorder (OUD) is a public health crisis in the U.S. that causes over 50 thousand deaths annually due to overdose. Using next-generation RNA sequencing and proteomics techniques, we identified 394 differentially expressed (DE) coding and long noncoding (lnc) RNAs as well as 213 DE proteins in Brodmann Area 9 of OUD subjects.
Read the full summary ↓
The RNA and protein changes converged on pro-angiogenic gene networks and cytokine signaling pathways. Four genes (LGALS3, SLC2A1, PCLD1, VAMP1) were dysregulated in both RNA and protein. Dissecting these DE genes and networks, we found cell type specific effects with enrichment in astrocyte and endothelial correlated genes. Weighted-genome correlation network analysis (WGCNA) revealed cell type correlated networks including an astrocytic/endothelial network involved in angiogenic cytokine signaling as well as a neuronal network involved in synaptic vesicle formation. In addition, using ex vivo magnetic resonance imaging, we identified increased vascularization in postmortem brains from a subset of subjects with OUD. This is the first study of its kind relating dysregulation of astrocytic and endothelial angiogenic gene networks in OUD with ex vivo imaging qualitative evidence of hypervascularization in postmortem brain. Understanding the neurovascular effects of OUD is critical in this time of widespread opioid use. This dataset includes Samples from Mendez et al 2021 "Angiogenic gene networks are dysregulated in opioid use disorder: evidence from multi-omics and imaging of postmortem human brain" published in Molecular Psychiatry. doi: 10.1038/s41380-021-01259-y For full sample information for each sample, please contact Dr. Walss-Bass at [email protected]
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE182321_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA755746 and SRA study SRP332964. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 41 more — browse all 41 samples with per-sample file links →

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