Wing Kin Sung

Prof. Dr. Wing Kin Sung

orcid

Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

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

Representative Publications

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1 June 2008 in Cell
Verified
Journal Article
Closed access
XCXi Chen
Xi Chen
HXHan Xu
Han Xu
PYPing Yuan
Ping Yuan
FFFang Fang
Fang Fang
MHMikael Huss
Mikael Huss
HNHuck-Hui Ng
Huck-Hui Ng

5 November 2009 in Nature
Verified
Journal Article
Open access
PDF file
MFMelissa Jane Fullwood
Melissa Jane Fullwood
MLMei Hui Liu
Mei Hui Liu
YPYou Fu Pan
You Fu Pan
JLJun Liu
Jun Liu
HXHan Xu
Han Xu
YRYijun Ruan
Yijun Ruan
Genomes are organized into high-level three-dimensional structures, and DNA elements separated by long genomic distances can in principle interact functionally. Many transcription factors bind to regulatory DNA elements distant from gene promoters. Although distal binding sites have been shown to regulate transcription by long-range chromatin interactions at a few loci, chromatin interactions and their impact on transcription regulation have not been investigated in a genome-wide manner. Here we describe the development of a new strategy, chromatin interaction analysis by paired-end tag sequencing (ChIA-PET) for the de novo detection of global chromatin interactions, with which we have comprehensively mapped the chromatin interaction network bound by oestrogen receptor α (ER-α) in the human genome. We found that most high-confidence remote ER-α-binding sites are anchored at gene promoters through long-range chromatin interactions, suggesting that ER-α functions by extensive chromatin looping to bring genes together for coordinated transcriptional regulation. We propose that chromatin interactions constitute a primary mechanism for regulating transcription in mammalian genomes.

1 January 2012 in Cell
Verified
Journal Article
Closed access
Guoliang LiGuoliang Li
Guoliang Li
XRXiaoan Ruan
Xiaoan Ruan
RARaymond K. Auerbach
Raymond K. Auerbach
KSKuljeet Singh Sandhu
Kuljeet Singh Sandhu
MZMeizhen Zheng
Meizhen Zheng
YRYijun Ruan
Yijun Ruan

1 January 2006 in Cell
Verified
Journal Article
Closed access
CWChia-Lin Wei
Chia-Lin Wei
QWQiang Wu
Qiang Wu
VVVinsensius B. Vega
Vinsensius B. Vega
KCKuo Ping Chiu
Kuo Ping Chiu
PNPatrick Ng
Patrick Ng
YRYijun Ruan
Yijun Ruan

4 February 2010 in Genome Research
Verified
Journal Article
Closed access
PDF file
LLLouise Laurent
Louise Laurent
EWEleanor Wong
Eleanor Wong
Guoliang LiGuoliang Li
Guoliang Li
THTien Huynh
Tien Huynh
ATAristotelis Tsirigos
Aristotelis Tsirigos
CWChia-Lin Wei
Chia-Lin Wei
DNA methylation is a critical epigenetic regulator in mammalian development. Here, we present a whole-genome comparative view of DNA methylation using bisulfite sequencing of three cultured cell types representing progressive stages of differentiation: human embryonic stem cells (hESCs), a fibroblastic differentiated derivative of the hESCs, and neonatal fibroblasts. As a reference, we compared our maps with a methylome map of a fully differentiated adult cell type, mature peripheral blood mononuclear cells (monocytes). We observed many notable common and cell-type-specific features among all cell types. Promoter hypomethylation (both CG and CA) and higher levels of gene body methylation were positively correlated with transcription in all cell types. Exons were more highly methylated than introns, and sharp transitions of methylation occurred at exon–intron boundaries, suggesting a role for differential methylation in transcript splicing. Developmental stage was reflected in both the level of global methylation and extent of non-CpG methylation, with hESC highest, fibroblasts intermediate, and monocytes lowest. Differentiation-associated differential methylation profiles were observed for developmentally regulated genes, including the HOX clusters, other homeobox transcription factors, and pluripotence-associated genes such as POU5F1, TCF3, and KLF4. Our results highlight the value of high-resolution methylation maps, in conjunction with other systems-level analyses, for investigation of previously undetectable developmental regulatory mechanisms.

27 May 2012 in Nature Genetics
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Journal Article
Closed access
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WSWing Kin Sung
Wing Kin Sung
HZHancheng Zheng
Hancheng Zheng
SLShuyu Li
Shuyu Li
RCRonghua Chen
Ronghua Chen
XLXiao Liu
Xiao Liu
JLJohn M Luk
John M Luk