M
Michael Q. Zhang
Researcher at Tsinghua University
Publications - 396
Citations - 46412
Michael Q. Zhang is an academic researcher from Tsinghua University. The author has contributed to research in topics: Gene & Chromatin. The author has an hindex of 93, co-authored 378 publications receiving 42008 citations. Previous affiliations of Michael Q. Zhang include Chinese Academy of Sciences & Peking Union Medical College Hospital.
Papers
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Journal ArticleDOI
NF-κB1 p50 promotes p53 protein translation through miR-190 downregulation of PHLPP1.
Yonghui Yu,Dongyun Zhang,Hong Ying Huang,Jingxia Li,Michael Q. Zhang,Yu Wan,Jimin Gao,Chuanshu Huang +7 more
TL;DR: A novel function of p50 is identified in modulating p53 protein translation via regulation of the miR-190/PHLPP1/Akt-S6 ribosomal protein pathway.
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SuperCT: a supervised-learning framework for enhanced characterization of single-cell transcriptomic profiles.
Peng Xie,Mingxuan Gao,Chunming Wang,Jianfei Zhang,Pawan Noel,Chaoyong Yang,Daniel D. Von Hoff,Haiyong Han,Michael Q. Zhang,Michael Q. Zhang,Wei Lin +10 more
TL;DR: This study presents a technical framework of training the expandable supervised-classifier in order to reveal the single-cell identities as soon as thesingle-cell expression profile is input and demonstrates the superior accuracy, robustness, compatibility and expandability of this new solution compared to the traditional methods.
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Functional Mutation of SMAC/DIABLO, Encoding a Mitochondrial Proapoptotic Protein, Causes Human Progressive Hearing Loss DFNA64
Jing Cheng,Yuhua Zhu,Sudan He,Yanping Lu,Jing Chen,Bing Han,Marco Petrillo,Kazimierz O. Wrzeszczynski,Shiming Yang,Pu Dai,Suoqiang Zhai,Dongyi Han,Michael Q. Zhang,Wei Li,Xuezhong Liu,Huawei Li,Zheng-Yi Chen,Huijun Yuan +17 more
TL;DR: A functional study is used to demonstrate that the SMAC/DIABLO(S71L) mutant, while retaining the proapoptotic function, triggers significant degradation of both wild-type and mutant SMac/DiaBLO and renders host mitochondria susceptible to calcium-induced loss of the membrane potential.
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Identification of novel androgen-regulated pathways and mRNA isoforms through genome-wide exon-specific profiling of the LNCaP transcriptome.
Prabhakar Rajan,Caroline Dalgliesh,Phillippa J. Carling,Thomas Buist,Chaolin Zhang,Sushma Nagaraja Grellscheid,Kelly Armstrong,Jacqueline Stockley,Cedric Simillion,Luke Gaughan,Gabriela Kalna,Michael Q. Zhang,Craig N. Robson,Hing Y. Leung,David J. Elliott +14 more
TL;DR: The data suggest that alternative mRNA isoform expression might mediate the cellular response to androgens, and may have roles in clinical PCa.
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Network embedding-based representation learning for single cell RNA-seq data.
TL;DR: A novel Single Cell Representation Learning (SCRL) method based on network embedding that can efficiently implement data-driven non-linear projection and incorporate prior biological knowledge to learn more meaningful low-dimensional representations for both cells and genes.