Wen-Wei Liang

ORCID: 0000-0001-7700-8973
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Research Areas
  • Cancer Genomics and Diagnostics
  • Osteoarthritis Treatment and Mechanisms
  • RNA modifications and cancer
  • Ferroptosis and cancer prognosis
  • Cell Adhesion Molecules Research
  • Lung Cancer Treatments and Mutations
  • Bioinformatics and Genomic Networks
  • Ubiquitin and proteasome pathways
  • Silk-based biomaterials and applications
  • Epigenetics and DNA Methylation
  • Radiomics and Machine Learning in Medical Imaging
  • RNA Research and Splicing
  • Bone Tissue Engineering Materials
  • Total Knee Arthroplasty Outcomes
  • Tendon Structure and Treatment
  • Genetics, Bioinformatics, and Biomedical Research
  • Melanoma and MAPK Pathways
  • Cancer-related Molecular Pathways
  • Single-cell and spatial transcriptomics
  • interferon and immune responses
  • Orthopaedic implants and arthroplasty
  • Orthopedic Infections and Treatments
  • Chemokine receptors and signaling
  • Immune cells in cancer
  • Mitochondrial Function and Pathology

Nanjing Medical University
2011-2024

Jiangsu Province Hospital
2015-2024

New York Genome Center
2024

New York University
2024

Washington University in St. Louis
2017-2023

James S. McDonnell Foundation
2016-2023

Ministry of Agriculture and Rural Affairs
2022

South China Agricultural University
2022

Jilin University
2021

State Key Laboratory on Integrated Optoelectronics
2021

Highlights•Alteration map of 10 signaling pathways across 9,125 samples from 33 cancer types•Reusable, curated pathway templates that include a catalogue driver genes•57% tumors have at least one potentially actionable alteration in these pathways•Co-occurrence alterations suggests combination therapy opportunitiesSummaryGenetic control cell-cycle progression, apoptosis, and cell growth are common hallmarks cancer, but the extent, mechanisms, co-occurrence differ between individual tumor...

10.1016/j.cell.2018.03.035 article EN cc-by-nc-nd Cell 2018-04-01

Identifying molecular cancer drivers is critical for precision oncology. Multiple advanced algorithms to identify now exist, but systematic attempts combine and optimize them on large datasets are few. We report a PanCancer PanSoftware analysis spanning 9,423 tumor exomes (comprising all 33 of The Cancer Genome Atlas projects) using 26 computational tools catalog driver genes mutations. 299 with implications regarding their anatomical sites cancer/cell types. Sequence- structure-based...

10.1016/j.cell.2018.02.060 article EN cc-by-nc-nd Cell 2018-04-01
Michael A. Gillette Shankha Satpathy Song Cao Saravana M. Dhanasekaran Suhas Vasaikar and 95 more Karsten Krug Francesca Petralia Yize Li Wen-Wei Liang Boris Reva Azra Krek Jiayi Ji Xiaoyu Song Wenke Liu Runyu Hong Lijun Yao Lili M. Blumenberg Sara R. Savage Michael C. Wendl Bo Wen Kai Li Lauren C. Tang Melanie A. MacMullan Shayan C. Avanessian M. Harry Kane Chelsea J. Newton MacIntosh Cornwell Ramani Kothadia Weiping Ma Seungyeul Yoo Rahul Mannan Pankaj Vats Chandan Kumar‐Sinha Emily Kawaler Tatiana Omelchenko Antonio Colaprico Yifat Geffen Yosef E. Maruvka Felipe da Veiga Leprevost Maciej Wiznerowicz Zeynep H. Gümüş Rajwanth Veluswamy Galen Hostetter David I. Heiman Matthew A. Wyczalkowski Tara Hiltke Mehdi Mesri Christopher R. Kinsinger Emily S. Boja Gilbert S. Omenn Arul M. Chinnaiyan Henry Rodriguez Qing Kay Li Scott D. Jewell Mathangi Thiagarajan Gad Getz Bing Zhang David Fenyö Kelly V. Ruggles Marcin Cieślik Ana I. Robles Karl R. Clauser Ramaswamy Govindan Pei Wang Alexey I. Nesvizhskii Li Ding D.R. Mani Steven A. Carr Alex Webster Alicia Francis Alyssa Charamut Amanda G. Paulovich Amy M. Perou Andrew K. Godwin Andrii Karnuta Annette Marrero-Oliveras Barbara Hindenach Barbara L. Pruetz Bartosz Kubisa Brian J. Druker Chet Birger Corbin D. Jones Dana R. Valley Daniel C. Rohrer Daniel Cui Zhou Daniel W. Chan David Chesla David Clark Dmitry Rykunov Donghui Tan Elena V. Ponomareva Elizabeth R. Duffy Eric Burks Eric E. Schadt Erik J. Bergstrom Eugene S. Fedorov Ewa P. Malc George D. Wilson Haiquan Chen Halina Krzystek

To explore the biology of lung adenocarcinoma (LUAD) and identify new therapeutic opportunities, we performed comprehensive proteogenomic characterization 110 tumors 101 matched normal adjacent tissues (NATs) incorporating genomics, epigenomics, deep-scale proteomics, phosphoproteomics, acetylproteomics. Multi-omics clustering revealed four subgroups defined by key driver mutations, country, gender. Proteomic phosphoproteomic data illuminated downstream copy number aberrations, somatic...

10.1016/j.cell.2020.06.013 article EN cc-by-nc-nd Cell 2020-07-01

Gene fusions represent an important class of somatic alterations in cancer. We systematically investigated 9,624 tumors across 33 cancer types using multiple fusion calling tools. identified a total 25,664 fusions, with 63% validation rate. Integration gene expression, copy number, and annotation data revealed that involving oncogenes tend to exhibit increased whereas tumor suppressors have the opposite effect. For kinases, we found 1,275 intact kinase domain, proportion which varied...

10.1016/j.celrep.2018.03.050 article EN cc-by Cell Reports 2018-04-01

Glioblastoma (GBM) is the most aggressive nervous system cancer. Understanding its molecular pathogenesis crucial to improving diagnosis and treatment. Integrated analysis of genomic, proteomic, post-translational modification metabolomic data on 99 treatment-naive GBMs provides insights GBM biology. We identify key phosphorylation events (e.g., phosphorylated PTPN11 PLCG1) as potential switches mediating oncogenic pathway activation, well targets for EGFR-, TP53-, RB1-altered tumors. Immune...

10.1016/j.ccell.2021.01.006 article EN cc-by-nc-nd Cancer Cell 2021-02-11
Chen Huang Lijun Chen Sara R. Savage Rodrigo Vargas Eguez Yongchao Dou and 95 more Yize Li Felipe da Veiga Leprevost Eric J. Jaehnig Jonathan T. Lei Bo Wen Michael Schnaubelt Karsten Krug Xiaoyu Song Marcin Cieślik Hui-Yin Chang Matthew A. Wyczalkowski Kai Li Antonio Colaprico Qing Kay Li David Clark Yingwei Hu Liwei Cao Jianbo Pan Yuefan Wang Kyung-Cho Cho Zhiao Shi Yuxing Liao Wen Jiang Meenakshi Anurag Jiayi Ji Seungyeul Yoo Daniel Cui Zhou Wen-Wei Liang Michael C. Wendl Pankaj Vats Steven A. Carr D.R. Mani Zhen Zhang Jiang Qian Xi S. Chen Alexander R. Pico Pei Wang Arul M. Chinnaiyan Karen A. Ketchum Christopher R. Kinsinger Ana I. Robles Eunkyung An Tara Hiltke Mehdi Mesri Mathangi Thiagarajan Alissa M. Weaver Andrew G. Sikora Jan Lubiński Małgorzata Wierzbicka Maciej Wiznerowicz Shankha Satpathy Michael A. Gillette George Miles Matthew J. Ellis Gilbert S. Omenn Henry Rodriguez Emily S. Boja Saravana M. Dhanasekaran Li Ding Alexey I. Nesvizhskii Adel K. El‐Naggar Daniel W. Chan Hui Zhang Bing Zhang Anupriya Agarwal Matthew L. Anderson Shayan C. Avanessian Dmitry M. Avtonomov Oliver F. Bathe Chet Birger Michael J. Birrer Lili M. Blumenberg William Bocik Uma Borate Melissa Borucki Meghan C. Burke Shuang Cai Anna Calinawan Sandra Cerda Alyssa Charamut Lin Chen Shrabanti Chowdhury Karl R. Clauser Houston Culpepper Tomasz Czernicki Fulvio D’Angelo Jacob Day Stephanie Young Emek Demir Fei Ding Marcin J. Domagalski Joseph C. Dort Brian J. Druker Elizabeth R. Duffy Maureen A. Dyer

We present a proteogenomic study of 108 human papilloma virus (HPV)-negative head and neck squamous cell carcinomas (HNSCCs). Proteomic analysis systematically catalogs HNSCC-associated proteins phosphosites, prioritizes copy number drivers, highlights an oncogenic role for RNA processing genes. investigation mutual exclusivity between FAT1 truncating mutations 11q13.3 amplifications reveals dysregulated actin dynamics as common functional consequence. Phosphoproteomics characterizes two...

10.1016/j.ccell.2020.12.007 article EN cc-by-nc-nd Cancer Cell 2021-01-09

For the past decade, cancer genomic studies have focused on mutations leading to splice-site disruption, overlooking those having splice-creating potential. Here, we applied a bioinformatic tool, MiSplice, for large-scale discovery of splice-site-creating (SCMs) across 8,656 TCGA tumors. We report 1,964 originally mis-annotated clear evidence creating alternative splice junctions. TP53 and GATA3 26 18 SCMs, respectively, ATRX has 5 from lower-grade gliomas. Mutations in 11 genes, including...

10.1016/j.celrep.2018.03.052 article EN cc-by Cell Reports 2018-04-01
Yifat Geffen Shankara Anand Yo Akiyama Tomer M. Yaron Yizhe Song and 95 more Jared L. Johnson Akshay Govindan Özgün Babur Yize Li Emily M. Huntsman Liang-Bo Wang Chet Birger David I. Heiman Qing Zhang Mendy Miller Yosef E. Maruvka Nicholas J. Haradhvala Anna Calinawan Saveliy Belkin Alexander Kerelsky Karl R. Clauser Karsten Krug Shankha Satpathy Samuel Payne D.R. Mani Michael A. Gillette Saravana M. Dhanasekaran Mathangi Thiagarajan Mehdi Mesri Henry Rodriguez Ana I. Robles Steven A. Carr Alexander J. Lazar François Aguet Lewis C. Cantley Li Ding Gad Getz Eunkyung An Meenakshi Anurag Jasmin Bavarva Michael J. Birrer Özgün Babur Song Cao Michele Ceccarelli Daniel W. Chan Arul M. Chinnaiyan Hanbyul Cho Shrabanti Chowdhury Marcin Cieślik Antonio Colaprico Steven A. Carr Felipe da Veiga Leprevost Corbin Day Marcin J. Domagalski Yongchao Dou Brian J. Druker Nathan Edwards Matthew J. Ellis David Fenyö Steven M. Foltz Alicia Francis Tania J. González-Robles Sara J.C. Gosline Zeynep H. Gümüş Tara Hiltke Runyu Hong Galen Hostetter Yingwei Hu Chen Huang Antonio Iavarone Eric J. Jaehnig Scott Jewel Jiayi Ji Wen Jiang Lizabeth Katsnelson Karen A. Ketchum Iga Kołodziejczak Chandan Kumar‐Sinha Karsten Krug Jonathan T. Lei Wen-Wei Liang Yuxing Liao Caleb M. Lindgren Tao Liu Wenke Liu Weiping Ma Wilson McKerrow Mehdi Mesri D.R. Mani Alexey I. Nesvizhskii Chelsea J. Newton Robert Oldroyd Gilbert S. Omenn Amanda G. Paulovich Francesca Petralia Pietro Pugliese Boris Reva Karin Rodland Kelly V. Ruggles Dmitry Rykunov

Post-translational modifications (PTMs) play key roles in regulating cell signaling and physiology both normal cancer cells. Advances mass spectrometry enable high-throughput, accurate, sensitive measurement of PTM levels to better understand their role, prevalence, crosstalk. Here, we analyze the largest collection proteogenomics data from 1,110 patients with profiles across 11 types (10 National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium [CPTAC]). Our study reveals...

10.1016/j.cell.2023.07.013 article EN cc-by-nc-nd Cell 2023-08-01
Yize Li Eduard Porta‐Pardo Collin Tokheim Matthew H. Bailey Tomer M. Yaron and 95 more Vasileios Stathias Yifat Geffen Kathleen J. Imbach Song Cao Shankara Anand Yo Akiyama Wenke Liu Matthew A. Wyczalkowski Yizhe Song Erik Storrs Michael C. Wendl Wubing Zhang Mustafa Sibai Victoria Ruiz‐Serra Wen-Wei Liang Nadezhda V. Terekhanova Fernanda Martins Rodrigues Karl R. Clauser David I. Heiman Qing Zhang François Aguet Anna Calinawan Saravana M. Dhanasekaran Chet Birger Shankha Satpathy Daniel Cui Zhou Liang-Bo Wang Jessika Baral Jared L. Johnson Emily M. Huntsman Pietro Pugliese Antonio Colaprico Antonio Iavarone Milan G. Chheda Christopher J. Ricketts David Fenyö Samuel Payne Henry Rodriguez Ana I. Robles Michael A. Gillette Chandan Kumar‐Sinha Alexander J. Lazar Lewis C. Cantley Gad Getz Li Ding Eunkyung An Meenakshi Anurag Jasmin Bavarva Michael J. Birrer Anna Calinawan Michele Ceccarelli Daniel W. Chan Arul M. Chinnaiyan Hanbyul Cho Shrabanti Chowdhury Marcin Cieślik Felipe da Veiga Leprevost Corbin Day Marcin J. Domagalski Yongchao Dou Brian J. Druker Nathan Edwards Matthew J. Ellis Myvizhi Esai Selvan Steven M. Foltz Alicia Francis Tania J. González-Robles Sara J.C. Gosline Zeynep H. Gümüş Tara Hiltke Runyu Hong Galen Hostetter Yingwei Hu Chen Huang Emily M. Huntsman Eric J. Jaehnig Scott Jewel Jiayi Ji Wen Jiang Lizabeth Katsnelson Karen A. Ketchum Iga Kołodziejczak Jonathan T. Lei Yuxing Liao Caleb M. Lindgren Tao Liu Weiping Ma Wilson McKerrow Alexey I. Nesvizhskii Chelsea J. Newton Robert Oldroyd Gilbert S. Omenn Amanda G. Paulovich Francesca Petralia Boris Reva

Cancer driver events refer to key genetic aberrations that drive oncogenesis; however, their exact molecular mechanisms remain insufficiently understood. Here, our multi-omics pan-cancer analysis uncovers insights into the impacts of cancer drivers by identifying significant cis-effects and distal trans-effects quantified at RNA, protein, phosphoprotein levels. Salient observations include association point mutations copy-number alterations with rewiring protein interaction networks,...

10.1016/j.cell.2023.07.014 article EN cc-by-nc-nd Cell 2023-08-01
Wen-Wei Liang Rita Jui-Hsien Lu Reyka G. Jayasinghe Steven M. Foltz Eduard Porta‐Pardo and 95 more Yifat Geffen Michael C. Wendl Rossana Lazcano Iga Kołodziejczak Yizhe Song Akshay Govindan Elizabeth G. Demicco Xiang Li Yize Li Sunantha Sethuraman Samuel Payne David Fenyö Henry Rodriguez Maciej Wiznerowicz Hui Shen D.R. Mani Karin Rodland Alexander J. Lazar Ana I. Robles Li Ding François Aguet Yo Akiyama Eunkyung An Shankara Anand Meenakshi Anurag Özgün Babur Jasmin Bavarva Chet Birger Michael J. Birrer Anna Calinawan Lewis C. Cantley Song Cao Steve Carr Michele Ceccarelli Daniel Chan Arul M. Chinnaiyan Hanbyul Cho Shrabanti Chowdhury Marcin Cieślik Karl R. Clauser Antonio Colaprico Daniel Cui Zhou Felipe da Veiga Leprevost Corbin Day Saravana M. Dhanasekaran Marcin J. Domagalski Yongchao Dou Brian J. Druker Nathan Edwards Matthew J. Ellis Myvizhi Esai Selvan Alicia Francis Gad Getz Michael A. Gillette Tania Gonzalez Robles Sara J.C. Gosline Zeynep H. Gümüş David I. Heiman Tara Hiltke Runyu Hong Galen Hostetter Yingwei Hu Chen Huang Emily M. Huntsman Antonio Iavarone Eric J. Jaehnig Scott Jewel Jiayi Ji Wen Jiang Jared L. Johnson Lizabeth Katsnelson Karen A. Ketchum Karsten Krug Chandan Kumar‐Sinha Jonathan T. Lei Yuxing Liao Caleb M. Lindgren Tao Liu Wenke Liu Weiping Ma Fernanda Martins Rodrigues Wilson H. McKerrow Mehdi Mesri Alexey I. Nesvizhskii Chelsea J. Newton Robert Oldroyd Gilbert S. Omenn Amanda G. Paulovich Francesca Petralia Pietro Pugliese Boris Reva Kelly V. Ruggles Dmitry Rykunov Shankha Satpathy Sara R. Savage

DNA methylation plays a critical role in establishing and maintaining cellular identity. However, it is frequently dysregulated during tumor development closely intertwined with other genetic alterations. Here, we leveraged multi-omic profiling of 687 tumors matched non-involved adjacent tissues from the kidney, brain, pancreas, lung, head neck, endometrium to identify aberrant associated RNA protein abundance changes build Pan-Cancer catalog. We uncovered lineage-specific epigenetic drivers...

10.1016/j.ccell.2023.07.013 article EN cc-by-nc-nd Cancer Cell 2023-08-14

The DEAD-box RNA helicase Prp5 is required for the formation of prespliceosome through an ATP-dependent function to remodel U2 small nuclear ribonucleoprotein particles (snRNPs) and ATP-independent unknown mechanism. has also been implicated in proofreading branch site sequence, but molecular mechanism not well characterized. Using actin precursor mRNA (pre-mRNA) carrying mutations, we identified a Prp5-containing with directly bound (snRNA). contact regions on near branchpoint-interacting...

10.1101/gad.253708.114 article EN Genes & Development 2015-01-01

Abstract The Cancer Genome Atlas (TCGA) and International Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) genome (WGS), respectively. Here, as part of the ICGC/TCGA Pan-Cancer Analysis Whole Genomes (PCAWG) Consortium, which aggregated data from 2,658 cancers across 38 tumour types, we compare WES WGS side-by-side 746 TCGA samples, finding that ~80% mutations overlap in covered exonic regions. We estimate low variant allele fraction (VAF <...

10.1038/s41467-020-18151-y article EN cc-by Nature Communications 2020-09-21

NAC transcription factors are one of the largest families transcriptional regulators in plants, and members gene family play vital roles regulating plant growth development processes including biotic/abiotic stress responses. However, little information is available about pitaya. In this study, we conducted a genome-wide analysis total 64 NACs (named HuNAC1-HuNAC64) were identified pitaya (Hylocereus). These genes grouped into fifteen subgroups with diversities proportions, exon-intron...

10.3390/ijms23042189 article EN International Journal of Molecular Sciences 2022-02-16
Joshua M. Wang Runyu Hong Elizabeth G. Demicco Jimin Tan Rossana Lazcano and 95 more André L. Moreira Yize Li Anna Calinawan Narges Razavian Tobias Schraink Michael A. Gillette Gilbert S. Omenn Eunkyung An Henry Rodriguez Aristotelis Tsirigos Kelly V. Ruggles Li Ding Ana I. Robles D.R. Mani Karin Rodland Alexander J. Lazar Wenke Liu David Fenyö François Aguet Yo Akiyama Shankara Anand Meenakshi Anurag Özgün Babur Jasmin Bavarva Chet Birger Michael J. Birrer Lewis C. Cantley Song Cao Steven A. Carr Michele Ceccarelli Daniel W. Chan Arul M. Chinnaiyan Hanbyul Cho Shrabanti Chowdhury Marcin Cieślik Karl R. Clauser Antonio Colaprico Daniel Cui Zhou Felipe da Veiga Leprevost Corbin Day Saravana M. Dhanasekaran Marcin J. Domagalski Yongchao Dou Brian J. Druker Nathan Edwards Matthew J. Ellis Myvizhi Esai Selvan Steven M. Foltz Alicia Francis Yifat Geffen Gad Getz Tania J. González-Robles Sara J.C. Gosline Zeynep H. Gümüş David I. Heiman Tara Hiltke Galen Hostetter Yingwei Hu Chen Huang Emily M. Huntsman Antonio Iavarone Eric J. Jaehnig Scott D. Jewell Jiayi Ji Wen Jiang Jared L. Johnson Lizabeth Katsnelson Karen A. Ketchum Iga Kołodziejczak Karsten Krug Chandan Kumar‐Sinha Jonathan T. Lei Wen-Wei Liang Yuxing Liao Caleb M. Lindgren Tao Liu Weiping Ma Fernanda Martins Rodrigues Wilson McKerrow Mehdi Mesri Alexey I. Nesvizhskii Chelsea J. Newton Robert Oldroyd Amanda G. Paulovich Samuel Payne Francesca Petralia Pietro Pugliese Boris Reva Dmitry Rykunov Shankha Satpathy Sara R. Savage Eric E. Schadt Michael Schnaubelt Stephan C. Schürer Zhiao Shi

We introduce a pioneering approach that integrates pathology imaging with transcriptomics and proteomics to identify predictive histology features associated critical clinical outcomes in cancer. utilize 2,755 H&E-stained histopathological slides from 657 patients across 6 cancer types CPTAC. Our models effectively recapitulate distinctions readily made by human pathologists: tumor vs. normal (AUROC = 0.995) tissue-of-origin 0.979). further investigate power on tasks not normally performed...

10.1016/j.xcrm.2023.101173 article EN cc-by Cell Reports Medicine 2023-08-14

Background/Aims: The biological effects of periodic mechanical stress on chondrocytes have been studied extensively over the past few years. However, mechanisms underlying chondrocyte mechanosensing and signaling in response to remain be determined. In current study, we examined focal adhesion kinase (FAK) stress-induced proliferation matrix synthesis. Methods Results: Periodic significantly induced sustained phosphorylation FAK at Tyr397 Tyr576/577. Reduction with targeted shRNA via...

10.1159/000354495 article EN cc-by-nc-nd Cellular Physiology and Biochemistry 2013-01-01

RTK/RAS/RAF pathway alterations (RPAs) are a hallmark of lung adenocarcinoma (LUAD). In this study, we use whole-genome sequencing (WGS) 85 cases found to be RPA(-) by previous studies from The Cancer Genome Atlas (TCGA) characterize the minority LUADs lacking apparent in pathway. We show that WGS analysis uncovers RPA(+) 28 (33%) samples. Among remaining 57 cases, observe focal deletions targeting promoter or transcription start site STK11 (n = 7) KEAP1 3), and mutations associated with...

10.1016/j.celrep.2021.108707 article EN cc-by-nc-nd Cell Reports 2021-02-01

Abstract Summary MIRMMR predicts microsatellite instability status in cancer samples using methylation and mutation information, contrast to existing methods that rely on observed microsatellites. Additionally, highlights those genetic alterations contributing instability. Availability implementation Source code is freely available at https://github.com/ding-lab/MIRMMR under the MIT license, implemented R supported Unix/OS X operating systems. Supplementary information data are Bioinformatics online.

10.1093/bioinformatics/btx507 article EN Bioinformatics 2017-08-09

Repair of articular cartilage defects using bilayered scaffolds is problematic because tissue-engineered prone to overgrowth toward subchondral bone, resulting in structural abnormalities and bone. A "twice freeze-drying" technique was used construct a dense isolation layer between the bone layers an integrated scaffold prevent from excessive downgrowth. Briefly, beta-tricalcium phosphate for scaffold, high-concentration chitosan/gelatin solution layer, low-concentration layer. As controls,...

10.1089/ten.tea.2018.0086 article EN Tissue Engineering Part A 2018-05-19
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