概率统计讨论班

报告题目：A multi-omic approach implicates novel protein dysregulation in post-traumatic stress  disorder

报  告  人：汪嘉伟 博士后（美国耶鲁大学医学院）

时        间：2025年11月7日（星期五），上午11:00-12:00

地        点：海纳苑2幢206

摘        要：Post-traumatic stress disorder (PTSD) is a common and disabling psychiatric. Recent genome-wide association studies (GWASs) have identified many PTSD risk loci and transcriptomics studies have found differentially expressed genes associated with PTSD cases. In this study, we integrated genome-wide measures across modalities to identify convergent molecular effects in the PTSD brain. We performed tandem mass spectrometry (MS/MS) on a large cohort of donors (N=66) in two prefrontal cortical areas, dorsolateral prefrontal cortex (DLPFC), and subgenual prefrontal cortex (sgPFC). We also coupled the proteomics data with transcriptomics, microRNA (miRNA) and genetics data. We found differentially expressed proteins and co-expression protein modules disrupted by PTSD. Integrative analysis with transcriptomics and miRNA data from the same cohort pointed to hsa-mir-589 as a regulatory miRNA responsible for dysregulation of neuronal protein networks for PTSD. This study substantially expands the number of differentially expressed genes and proteins in PTSD and identify downregulation of GABAergic processes in the PTSD proteome. This provides a novel framework for future studies integrating proteomic profiling with transcriptomics and non-coding RNAs in the human brain studies.

报告人简介：汪嘉伟，美国耶鲁大学医学院精神病系Dr. Matthew Girgenti实验室博士后。他研究方向和兴趣为单细胞多组学测序技术及相关的统计方法在精神疾病中的应用。他的研究中应用了多种基因差异表达的统计方法和共表达网络分析。(个人主页：https://sites.google.com/view/jiaweiwang)