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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

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NIAID Data Ecosystem2026-05-01 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE182321
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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. 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 consuelo.walssbass@uth.tmc.edu In total, raw fastq for 41 samples (27 opioid users and 14 nonpsychiatric controls as determined by postmortem consensus diagnosis of 2 trained psychiatrists) from the UTHealth Brain Collection are included and were used in Mendez et al 2021 and have processed counts provided. These counts were used to generate the conclusions in the manuscript.
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2024-02-09
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