Siliang Li

ORCID: 0000-0003-4293-5499
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About
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Research Areas
  • Cancer Genomics and Diagnostics
  • RNA modifications and cancer
  • Bioinformatics and Genomic Networks
  • Evolution and Genetic Dynamics
  • Genomics and Phylogenetic Studies
  • Genomics and Chromatin Dynamics
  • Chromosomal and Genetic Variations
  • Cancer-related molecular mechanisms research
  • Nutrition, Genetics, and Disease
  • Epigenetics and DNA Methylation
  • Genetics, Bioinformatics, and Biomedical Research
  • RNA Research and Splicing
  • Genetic factors in colorectal cancer
  • Genomics and Rare Diseases
  • Pancreatic and Hepatic Oncology Research
  • Fuel Cells and Related Materials
  • Nanopore and Nanochannel Transport Studies
  • Lung Cancer Treatments and Mutations
  • DNA Repair Mechanisms
  • Telomeres, Telomerase, and Senescence
  • Cancer, Hypoxia, and Metabolism
  • Genomic variations and chromosomal abnormalities
  • Mitochondrial Function and Pathology
  • Gene expression and cancer classification
  • Vehicle emissions and performance

BGI Group (China)
2012-2023

China National GeneBank
2017-2022

Lunenfeld-Tanenbaum Research Institute
2021

Sinai Health System
2021

University of Copenhagen
2020

University of Chicago
2020

The University of Texas MD Anderson Cancer Center
2020

Institute of Cancer Research
2020

Changchun University of Technology
2018

Claudia Calabrese Natalie R. Davidson Deniz Demircioğlu Nuno A. Fonseca Yao He and 95 more André Kahles Kjong-Van Lehmann Fenglin Liu Yuichi Shiraishi Cameron M. Soulette Lara Urban Claudia Calabrese Natalie R. Davidson Deniz Demircioğlu Nuno A. Fonseca Yao He André Kahles Kjong-Van Lehmann Fenglin Liu Yuichi Shiraishi Cameron M. Soulette Lara Urban Liliana Greger Siliang Li Dongbing Liu Marc D. Perry Qian Xiang Fan Zhang Junjun Zhang Peter J. Bailey Serap Erkek Katherine A. Hoadley Yong Hou Matthew R. Huska Helena Kilpinen Jan O. Korbel Maximillian G. Marin Julia Markowski Tannistha Nandi Qiang Pan‐Hammarström Chandra Sekhar Pedamallu Reiner Siebert Stefan G. Stark Hong Su Patrick Tan Sebastian M. Waszak Christina K. Yung Shida Zhu Philip Awadalla Chad J. Creighton Matthew Meyerson B. F. Francis Ouellette Kui Wu Huanming Yang Nuno A. Fonseca André Kahles Kjong-Van Lehmann Lara Urban Cameron M. Soulette Yuichi Shiraishi Fenglin Liu Yao He Deniz Demircioğlu Natalie R. Davidson Claudia Calabrese Junjun Zhang Marc D. Perry Qian Xiang Liliana Greger Siliang Li Dongbing Liu Stefan G. Stark Fan Zhang Samirkumar B. Amin Peter J. Bailey Aurélien Chateigner Isidro Cortés‐Ciriano Brian Craft Serap Erkek Milana Frenkel‐Morgenstern Mary J. Goldman Katherine A. Hoadley Yong Hou Matthew R. Huska Ekta Khurana Helena Kilpinen Jan O. Korbel Fabien C. Lamaze David K. Chang Xiaobo Li Xinyue Li Xingmin Liu Maximillian G. Marin Julia Markowski Tannistha Nandi Morten M. Nielsen Akinyemi I. Ojesina Qiang Pan‐Hammarström Peter J. Park Chandra Sekhar Pedamallu

Abstract Transcript alterations often result from somatic changes in cancer genomes 1 . Various forms of RNA have been described cancer, including overexpression 2 , altered splicing 3 and gene fusions 4 ; however, it is difficult to attribute these underlying genomic owing heterogeneity among patients tumour types, the relatively small cohorts for whom samples analysed by both transcriptome whole-genome sequencing. Here we present, our knowledge, most comprehensive catalogue...

10.1038/s41586-020-1970-0 article EN cc-by Nature 2020-02-05

Insulinomas and non-functional pancreatic neuroendocrine tumours (NF-PanNETs) have distinctive clinical presentations but share similar pathological features. Their genetic bases not been comprehensively compared. Herein, we used whole-genome/whole-exome sequencing (WGS/WES) to identify differences between insulinomas NF-PanNETs.The mutational profiles copy-number variation (CNV) patterns of 211 PanNETs, including 84 127 NF-PanNETs, were obtained from WGS/WES data provided by Peking Union...

10.1136/gutjnl-2018-317233 article EN cc-by-nc Gut 2019-08-28
Yiqun Zhang Fengju Chen Nuno A. Fonseca Yao He Masashi Fujita and 95 more Hidewaki Nakagawa Zemin Zhang Alvis Brāzma Samirkumar B. Amin Philip Awadalla Peter J. Bailey Alvis Brāzma Angela N. Brooks Claudia Calabrese Aurélien Chateigner Isidro Cortés‐Ciriano Brian Craft David Craft Chad J. Creighton Natalie R. Davidson Deniz Demircioğlu Serap Erkek Nuno A. Fonseca Milana Frenkel‐Morgenstern Mary J. Goldman Liliana Greger Jonathan Göke Yao He Katherine A. Hoadley Yong Hou Matthew R. Huska André Kahles Ekta Khurana Helena Kilpinen Jan O. Korbel Fabien C. Lamaze Kjong-Van Lehmann David K. Chang Siliang Li Xiaobo Li Xinyue Li Dongbing Liu Fenglin Liu Xingmin Liu Maximillian G. Marin Julia Markowski Matthew Meyerson Tannistha Nandi Morten Muhlig Nielsen Akinyemi I. Ojesina B. F. Francis Ouellette Qiang Pan‐Hammarström Peter J. Park Chandra Sekhar Pedamallu Jakob Skou Pedersen Marc D. Perry Gunnar Rätsch Roland F. Schwarz Yuichi Shiraishi Reiner Siebert Cameron M. Soulette Stefan G. Stark Oliver Stegle Hong Su Patrick Tan Bin Tean Teh Lara Urban Jian Wang Sebastian M. Waszak Kui Wu Qian Xiang Heng Xiong Sergei Yakneen Huanming Yang Chen Ye Christina K. Yung Fan Zhang Junjun Zhang Xiuqing Zhang Zemin Zhang Liangtao Zheng Jingchun Zhu Shida Zhu Kadir C. Akdemir Eva G. Álvarez Adrian Baez‐Ortega Rameen Beroukhim Paul C. Boutros David D.L. Bowtell Benedikt Brors Kathleen H. Burns Peter J. Campbell Kin Chan Ken Chen Isidro Cortés‐Ciriano Ana Dueso-Barroso Andrew Dunford Paul A. Edwards Xavier Estivill Dariush Etemadmoghadam

Abstract The impact of somatic structural variants (SVs) on gene expression in cancer is largely unknown. Here, as part the ICGC/TCGA Pan-Cancer Analysis Whole Genomes (PCAWG) Consortium, which aggregated whole-genome sequencing data and RNA from a common set 1220 cases, we report hundreds genes for presence within 100 kb an SV breakpoint associates with altered expression. For majority these genes, increases rather than decreases corresponding events. Up-regulated cancer-associated impacted...

10.1038/s41467-019-13885-w article EN cc-by Nature Communications 2020-02-05

Abstract We present the most comprehensive catalogue of cancer-associated gene alterations through characterization tumor transcriptomes from 1,188 donors Pan-Cancer Analysis Whole Genomes project. Using matched whole-genome sequencing data, we attributed RNA to germline and somatic DNA alterations, revealing likely genetic mechanisms. identified 444 associations expression with non-coding single-nucleotide variants. found 1,872 splicing associated mutation in intronic regions, including...

10.1101/183889 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2017-09-03

Abstract Introduction: We present a novel method to identify cancer driver genes that jointly examines any number of diverse transcriptomic alterations with the goal uncover highly recurrent and heterogeneous patterns in 1190 samples across 26 types as part PanCancer Analysis Whole Genomes (PCAWG) International Cancer Genome Consortium (ICGC). Motivation: Previous pan-cancer genomic studies have focused on analysis somatic mutations phenotypic changes. Here, we propose integrate wide variety...

10.1158/1538-7445.am2017-389 article EN Cancer Research 2017-07-01
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