Gang Ren

Dr. Gang Ren


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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1 October 2014 in Cell
Verified
Journal Article
Closed access
JDJill M. Dowen
Jill M. Dowen
ZFZi Peng Fan
Zi Peng Fan
DHDenes Hnisz
Denes Hnisz
GRGang Ren
Gang Ren
BABrian J. Abraham
Brian J. Abraham
RYRichard A. Young
Richard A. Young

25 November 2015 in Nature
Verified
Journal Article
Open access
PDF file
WJWenfei Jin
Wenfei Jin
QTQingsong Tang
Qingsong Tang
MWMimi Wan
Mimi Wan
KCKairong Cui
Kairong Cui
YZYi Zhang
Yi Zhang
KZKeji Zhao
Keji Zhao
A DNase sequencing method termed scDNase-seq detects DNase I hypersensitive sites genome-wide in single cells and pools of cells dissected from cancer biopsies. Regulatory elements in the genome are located in chromatin regions that are accessible to DNase I digestion, and these so-called DNase I hypersensitive sites (DHSs) have been mapped across genomes in populations of cells. Keji Zhao and colleagues have now developed a DNase sequencing method termed single-cell DNase sequencing (scDNase-seq) which allows detection of these sites genome-wide in single cells. They also apply the method to pools of cells dissected from formalin-fixed paraffin-embedded biopsies from cancer patients and can compare DNase I hypersensitive sites from small numbers of tumour cells and adjacent normal cells. DNase I hypersensitive sites (DHSs) provide important information on the presence of transcriptional regulatory elements and the state of chromatin in mammalian cells1,2,3. Conventional DNase sequencing (DNase-seq) for genome-wide DHSs profiling is limited by the requirement of millions of cells4,5. Here we report an ultrasensitive strategy, called single-cell DNase sequencing (scDNase-seq) for detection of genome-wide DHSs in single cells. We show that DHS patterns at the single-cell level are highly reproducible among individual cells. Among different single cells, highly expressed gene promoters and enhancers associated with multiple active histone modifications display constitutive DHS whereas chromatin regions with fewer histone modifications exhibit high variation of DHS. Furthermore, the single-cell DHSs predict enhancers that regulate cell-specific gene expression programs and the cell-to-cell variations of DHS are predictive of gene expression. Finally, we apply scDNase-seq to pools of tumour cells and pools of normal cells, dissected from formalin-fixed paraffin-embedded tissue slides from patients with thyroid cancer, and detect thousands of tumour-specific DHSs. Many of these DHSs are associated with promoters and enhancers critically involved in cancer development. Analysis of the DHS sequences uncovers one mutation (chr18: 52417839G>C) in the tumour cells of a patient with follicular thyroid carcinoma, which affects the binding of the tumour suppressor protein p53 and correlates with decreased expression of its target gene TXNL1. In conclusion, scDNase-seq can reliably detect DHSs in single cells, greatly extending the range of applications of DHS analysis both for basic and for translational research, and may provide critical information for personalized medicine.

1 January 2019 in Cell
Verified
Journal Article
Closed access
JRJoseph Rodriguez
Joseph Rodriguez
GRGang Ren
Gang Ren
CDChristopher R. Day
Christopher R. Day
KZKeji Zhao
Keji Zhao
CCCarson C. Chow
Carson C. Chow
DLDaniel R. Larson
Daniel R. Larson

1 September 2017 in Molecular Cell
Verified
Journal Article
Closed access
GRGang Ren
Gang Ren
WJWenfei Jin
Wenfei Jin
KCKairong Cui
Kairong Cui
JRJoseph Rodrigez
Joseph Rodrigez
Gangqing HuGangqing Hu
Gangqing Hu
KZKeji Zhao
Keji Zhao

29 July 2019 in Nature Immunology
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Journal Article
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CHChristelle Harly
Christelle Harly
DKDevin Kenney
Devin Kenney
GRGang Ren
Gang Ren
BLBinbin Lai
Binbin Lai
TRTobias Raabe
Tobias Raabe
ABAvinash Bhandoola
Avinash Bhandoola

18 April 2015 in Cell & Bioscience
Verified
Journal Article
Open access
PDF file
GRGang Ren
Gang Ren
KCKairong Cui
Kairong Cui
ZZZhiying Zhang
Zhiying Zhang
KZKeji Zhao
Keji Zhao
Cellular antiviral activities are critically controlled by transcriptional activation of interferon-inducible genes, involving interferon regulatory factors (IRFs). Previous data suggested that IRF1 is an activator and IRF2 is a repressor, which functionally antagonize each other in transcriptional regulation. However, it is not clear how these two factors function to regulate cellular antiviral activities. We show that IRF2 is critically required for the induction of the TLR3 and other interferon-inducible genes in a chromatin environment. While both IRF1 and IRF2 directly interact with the BAF chromatin remodeling complex, IRF2 is associated with the TLR3 promoter in the unstimulated state and IRF1 binding to the promoter is strongly induced by stimulation with interferon, suggesting that these two factors may function at different stages of gene induction in the recruitment of the BAF complex. IRF2 acts to maintain the basal level expression, an open chromatin structure, and active histone modification marks (H3K9, K14 acetylation and H3K4 tri-methylation) of the TLR3 promoter in the unstimulated state, while IRF1 serves to rapidly activate the promoter upon stimulation. IRF1 and IRF2 of the IRF family of transcription factors play distinct roles in cellular response to viral infection. IRF2 binds to TLR3 and other IFN-inducible gene promoters and maintains an active chromatin structure in the unstimulated state, which is required for their induction, while IRF1 binding to these promoters activates their transcription upon viral infection. Thus, the division of labor between the IRF transcription factor family members plays a pivotal role in coordinating the transcriptional activation in the cellular antiviral response.