Hu Chen

Dr. Hu Chen

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2018 in Cell Reports
Verified
Journal Article
Open access
YWYumeng Wang
Yumeng Wang
XXXiaoyan Xu
Xiaoyan Xu
DMDejan Maglic
Dejan Maglic
MDMichael T. Dill
Michael T. Dill
KMKamalika Mojumdar
Kamalika Mojumdar
FCFernando Camargo
Fernando Camargo
Hippo signaling has been recognized as a key tumor suppressor pathway. Here, we perform a comprehensive molecular characterization of 19 Hippo core genes in 9,125 tumor samples across 33 cancer types using multidimensional "omic" data from The Cancer Genome Atlas. We identify somatic drivers among Hippo genes and the related microRNA (miRNA) regulators, and using functional genomic approaches, we experimentally characterize YAP and TAZ mutation effects and miR-590 and miR-200a regulation for TAZ. Hippo pathway activity is best characterized by a YAP/TAZ transcriptional target signature of 22 genes, which shows robust prognostic power across cancer types. Our elastic-net integrated modeling further reveals cancer-type-specific pathway regulators and associated cancer drivers. Our results highlight the importance of Hippo signaling in squamous cell cancers, characterized by frequent amplification of YAP/TAZ, high expression heterogeneity, and significant prognostic patterns. This study represents a systems-biology approach to characterizing key cancer signaling pathways in the post-genomic era.

12 November 2011 in Nucleic Acids Research
Verified
Journal Article
Open access
PDF file
HZHong-Mei Zhang
Hong-Mei Zhang
HCHu Chen
Hu Chen
WLWei Liu
Wei Liu
HLHui Liu
Hui Liu
JGJing Gong
Jing Gong
Anyuan GuoAnyuan Guo
Anyuan Guo
Transcription factors (TFs) are proteins that bind to specific DNA sequences, thereby playing crucial roles in gene-expression regulation through controlling the transcription of genetic information from DNA to RNA. Transcription cofactors and chromatin remodeling factors are also essential in the gene transcriptional regulation. Identifying and annotating all the TFs are primary and crucial steps for illustrating their functions and understanding the transcriptional regulation. In this study, based on manual literature reviews, we collected and curated 72 TF families for animals, which is currently the most complete list of TF families in animals. Then, we systematically characterized all the TFs in 50 animal species and constructed a comprehensive animal TF database, AnimalTFDB. To better serve the community, we provided detailed annotations for each TF, including basic information, gene structure, functional domain, 3D structure hit, Gene Ontology, pathway, protein–protein interaction, paralogs, orthologs, potential TF-binding sites and targets. In addition, we collected and annotated transcription cofactors and chromatin remodeling factors. AnimalTFDB has a user-friendly web interface with multiple browse and search functions, as well as data downloading. It is freely available at http://www.bioguo.org/AnimalTFDB/.

1 March 2018 in Cancer Cell
Verified
Journal Article
Closed access
PNPatrick Kwok-Shing Ng
Patrick Kwok-Shing Ng
JLJun Li
Jun Li
KJKang Jin Jeong
Kang Jin Jeong
SSShan Shao
Shan Shao
HCHu Chen
Hu Chen
GMGordon B. Mills
Gordon B. Mills

1 May 2016 in Cancer Cell
Verified
Journal Article
Closed access
YYYuan Yuan
Yuan Yuan
LLLingxiang Liu
Lingxiang Liu
HCHu Chen
Hu Chen
YWYumeng Wang
Yumeng Wang
YXYanxun Xu
Yanxun Xu
HLHan Liang
Han Liang

18 March 2019 in Nature Metabolism
Verified
Journal Article
Closed access
PDF file
YYYouqiong Ye
Youqiong Ye
QHQingsong Hu
Qingsong Hu
HCHu Chen
Hu Chen
KLKe Liang
Ke Liang
YYYuan Yuan
Yuan Yuan
LHLeng Han
Leng Han

14 April 2017 in Genome Research
Verified
Journal Article
Open access
PDF file
YWYumeng Wang
Yumeng Wang
XXXiaoyan Xu
Xiaoyan Xu
SYShuangxing Yu
Shuangxing Yu
KJKang Jin Jeong
Kang Jin Jeong
ZZZhicheng Zhou
Zhicheng Zhou
HLHan Liang
Han Liang
RNA editing, a widespread post-transcriptional mechanism, has emerged as a new player in cancer biology. Recent studies have reported key roles for individual miRNA editing events, but a comprehensive picture of miRNA editing in human cancers remains largely unexplored. Here, we systematically characterized the miRNA editing profiles of 8595 samples across 20 cancer types from miRNA sequencing data of The Cancer Genome Atlas and identified 19 adenosine-to-inosine (A-to-I) RNA editing hotspots. We independently validated 15 of them by perturbation experiments in several cancer cell lines. These miRNA editing events show extensive correlations with key clinical variables (e.g., tumor subtype, disease stage, and patient survival time) and other molecular drivers. Focusing on the RNA editing hotspot in miR-200b, a key tumor metastasis suppressor, we found that the miR-200b editing level correlates with patient prognosis opposite to the pattern observed for the wild-type miR-200b expression. We further experimentally showed that, in contrast to wild-type miRNA, the edited miR-200b can promote cell invasion and migration through its impaired ability to inhibit ZEB1/ZEB2 and acquired concomitant ability to repress new targets, including LIFR, a well-characterized metastasis suppressor. Our study highlights the importance of miRNA editing in gene regulation and suggests its potential as a biomarker for cancer prognosis and therapy.