L
Le Li
Researcher at The Chinese University of Hong Kong
Publications - 9
Citations - 245
Le Li is an academic researcher from The Chinese University of Hong Kong. The author has contributed to research in topics: DNA methylation & Genome. The author has an hindex of 5, co-authored 8 publications receiving 175 citations.
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Journal ArticleDOI
Genome maps across 26 human populations reveal population-specific patterns of structural variation
Michal Levy-Sakin,Steven Pastor,Yulia Mostovoy,Le Li,Alden King-Yung Leung,Jennifer McCaffrey,Eleanor Young,Ernest T. Lam,Alex Hastie,Karen H. Y. Wong,Claire Yik Lok Chung,Walfred Ma,Justin Sibert,Ramakrishnan Rajagopalan,Nana Jin,Eugene Y. C. Chow,Catherine J. Chu,Annie Poon,Chin Lin,Ahmed Naguib,Wei-Ping Wang,Han Cao,Ting-Fung Chan,Kevin Y. Yip,Ming Xiao,Pui-Yan Kwok +25 more
TL;DR: Analyzing optical genome maps of 154 individuals from the 26 populations sequenced in the 1000 Genomes Project, it is found that phylogenetic population patterns of large SVs are similar to those of single nucleotide variations in 86% of the human genome, while ~2% ofThe genome has high structural complexity.
Journal ArticleDOI
A miR-199a/miR-214 self-regulatory network via PSMD10, TP53 and DNMT1 in testicular germ cell tumor.
TL;DR: A miR-199a/miR-214/PSMD10/TP53/DNMT1 self-regulatory network, which might be a potential therapeutic target in the treatment of TGCT is highlighted.
Journal ArticleDOI
OMSV enables accurate and comprehensive identification of large structural variations from nanochannel-based single-molecule optical maps
Le Li,Alden King-Yung Leung,Tsz-Piu Kwok,Yvonne Y. Y. Lai,Iris K. Pang,Grace Tin Yun Chung,Angel C.Y. Mak,Annie Poon,Catherine Chu,Menglu Li,Jacob J. K. Wu,Ernest T. Lam,Han Cao,Chin Lin,Justin Sibert,Siu-Ming Yiu,Ming Xiao,Kwok Wai Lo,Pui-Yan Kwok,Ting-Fung Chan,Kevin Y. Yip +20 more
TL;DR: OMSV has high sensitivity and specificity, with clear performance gains over the latest method, and is applied to a human cell line, and identified hundreds of SVs >2 kbp, with 68 % of them missed by sequencing-based callers.
Journal ArticleDOI
New guidelines for DNA methylome studies regarding 5-hydroxymethylcytosine for understanding transcriptional regulation
TL;DR: It is found that 5mC and 5hmC signals correlate with gene expression in the same direction in most samples, and this finding confirms a previous finding that methylation signals at transcript bodies are more indicative of gene expression levels than promotermethylation signals.
Posted ContentDOI
New guidelines for DNA methylome studies regarding 5-hydroxymethylcytosine for understanding transcriptional regulation
TL;DR: It is found that 5mC and 5hmC signals correlate with gene expression in the same direction in most samples, but considering both types of signals increases the accuracy of expression levels inferred from methylation data by a median of 18.2% as compared to having only standard WGBS data, showing that the two forms of methylation provide complementary information about gene expression.