Author
Shengqing Stan Gu
The University of Texas MD Anderson Cancer CenterORCID 0000-0002-4200-0864Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2021-2026 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 34 mutual co-author links7 papers
Recent·Most cited
- Cancer BiologybioRxivPreprint
Evolution of chronic lymphocytic leukemia after allogeneic stem cell transplant
Haven R. Garber, Danwei Wang, Céline Kerros…·Jeffrey J. Molldrem
This study examines how allogeneic stem cell transplant affects subclonal evolution in chronic lymphocytic leukemia, identifying cellular homogeneity as a biomarker for immune response.
DOI 10.1101/2025.01.22.634212 - Evolutionary BiologybioRxivPreprint
Evolutionary trajectories of immune escape across cancers
Wenjie Chen, Toby M. Baker, Zhihui Zhang…·Shengqing Stan Gu
This study investigates the evolutionary timing of immune escape mutations across 38 cancer types using functional genomics and tumor evolution reconstruction.
- GenomicsNature CommunicationsPeer-reviewed
MetaTiME: Meta-components of the Tumor Immune Microenvironment
Yi Zhang, Guanjue Xiang, Alva Yijia Jiang…·Clifford A. Meyer
MetaTiME identifies data-driven meta-components in tumor immune microenvironment scRNA-seq data to annotate cell states and reveal transcriptional regulators.
- BioinformaticsGenomics Proteomics & BioinformaticsPeer-reviewed
Machine learning modeling of protein-intrinsic features predicts tractability of targeted protein degradation
Wubing Zhang, Shourya S. Roy Burman, Jiaye Chen…·X. Shirley Liu
The paper develops a machine learning model to predict protein degradability for targeted protein degradation, identifying key features and extending predictions to the proteome.
- GenomicsNature CommunicationsPeer-reviewed
MYC drives aggressive prostate cancer by disrupting transcriptional pause release at androgen receptor targets
Xintao Qiu, Nadia Boufaied, Tarek Hallal…·David P. Labbé
This study shows MYC overexpression disrupts AR transcriptional pause release, promoting aggressive prostate cancer progression.
160 citationstop 1% - BioinformaticsGenomics Proteomics & BioinformaticsPeer-reviewed
CoBRA: Containerized Bioinformatics workflow for Reproducible ChIP/ATAC-seq Analysis - from differential peak calling to pathway analysis
Xintao Qiu, Avery S. Feit, Ariel Feiglin…·Henry W. Long
CoBRA provides a reproducible pipeline for ChIP/ATAC-seq analysis, including peak calling, clustering, and pathway analysis, with code available at the given URL.