Matthew A. Wyczalkowski

ORCID: 0000-0003-4197-551X
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Research Areas
  • Cancer Genomics and Diagnostics
  • Multiple Myeloma Research and Treatments
  • Renal cell carcinoma treatment
  • Protein Degradation and Inhibitors
  • Ferroptosis and cancer prognosis
  • Bioinformatics and Genomic Networks
  • RNA modifications and cancer
  • Single-cell and spatial transcriptomics
  • Ubiquitin and proteasome pathways
  • Advanced Proteomics Techniques and Applications
  • Genetics, Bioinformatics, and Biomedical Research
  • Computational Drug Discovery Methods
  • Epigenetics and DNA Methylation
  • CAR-T cell therapy research
  • Cellular Mechanics and Interactions
  • Monoclonal and Polyclonal Antibodies Research
  • Ultrasound and Hyperthermia Applications
  • RNA Research and Splicing
  • Genomics and Rare Diseases
  • Genomics and Phylogenetic Studies
  • Cancer-related Molecular Pathways
  • Ultrasound and Cavitation Phenomena
  • Lung Cancer Treatments and Mutations
  • Renal and related cancers
  • Pancreatic and Hepatic Oncology Research

Washington University in St. Louis
2015-2025

James S. McDonnell Foundation
2015-2024

Pacific Northwest National Laboratory
2020

Saint Louis University
2010-2018

Research Network (United States)
2017

University of Notre Dame
2010

University of California, Berkeley
1999-2003

The Cancer Genome Atlas (TCGA) has used the latest sequencing and analysis methods to identify somatic variants across thousands of tumours. Here we present data analytical results for point mutations small insertions/deletions from 3,281 tumours 12 tumour types as part TCGA Pan-Cancer effort. We illustrate distributions mutation frequencies, contexts types, establish their links tissues origin, environmental/carcinogen influences, DNA repair defects. Using integrated sets, identified 127...

10.1038/nature12634 article EN cc-by-nc-sa Nature 2013-10-15

Highlights•871 predisposition variants/CNVs discovered in 8% of 10,389 cases 33 cancers•Pan-cancer approach identified shared variants and genes across cancers•33 affecting activating domains oncogenes showed high expression•47 VUSs prioritized using cancer enrichment, LOH, expression other evidenceSummaryWe conducted the largest investigation to date, discovering 853 pathogenic or likely from types. Twenty-one single cross-cancer associations, including novel associations SDHA melanoma...

10.1016/j.cell.2018.03.039 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
David Clark Saravana M. Dhanasekaran Francesca Petralia Jianbo Pan Xiaoyu Song and 95 more Yingwei Hu Felipe da Veiga Leprevost Boris Reva T. Mamie Lih Hui-Yin Chang Weiping Ma Chen Huang Christopher J. Ricketts Lijun Chen Azra Krek Yize Li Dmitry Rykunov Qing Kay Li Lin S. Chen Umut Özbek Suhas Vasaikar Yige Wu Seungyeul Yoo Shrabanti Chowdhury Matthew A. Wyczalkowski Jiayi Ji Michael Schnaubelt Andy T. Kong Sunantha Sethuraman Dmitry M. Avtonomov Minghui Ao Antonio Colaprico Song Cao Kyung-Cho Cho Selim Kalaycı Shiyong Ma Wenke Liu Kelly V. Ruggles Anna Calinawan Zeynep H. Gümüş Daniel Geiszler Emily Kawaler Guo Ci Teo Bo Wen Yuping Zhang Sarah Keegan Kai Li Feng Chen Nathan Edwards Phillip M. Pierorazio Xi Steven Chen Christian P. Pavlovich A. Ari Hakimi Gabriel Bromiński James J. Hsieh Andrzej Antczak Tatiana Omelchenko Jan Lubiński Maciej Wiznerowicz W. Marston Linehan Christopher R. Kinsinger Mathangi Thiagarajan Emily S. Boja Mehdi Mesri Tara Hiltke Ana I. Robles Henry Rodriguez Jiang Qian David Fenyö Bing Zhang Li Ding Eric E. Schadt Arul M. Chinnaiyan Zhen Zhang Gilbert S. Omenn Marcin Cieślik Daniel W. Chan Alexey I. Nesvizhskii Pei Wang Hui Zhang A. Samad Hashimi Alexander R. Pico Alla Karpova Alyssa Charamut Amanda G. Paulovich Amy M. Perou Anna Malovannaya Annette Marrero-Oliveras Anupriya Agarwal Barbara Hindenach Barbara L. Pruetz Beom‐Jun Kim Brian J. Druker Chelsea J. Newton Chet Birger Corbin D. Jones Cristina E. Tognon D.R. Mani Dana R. Valley Daniel C. Rohrer

To elucidate the deregulated functional modules that drive clear cell renal carcinoma (ccRCC), we performed comprehensive genomic, epigenomic, transcriptomic, proteomic, and phosphoproteomic characterization of treatment-naive ccRCC paired normal adjacent tissue samples. Genomic analyses identified a distinct molecular subgroup associated with genomic instability. Integration proteogenomic measurements uniquely protein dysregulation cellular mechanisms impacted by alterations, including...

10.1016/j.cell.2019.10.007 article EN cc-by Cell 2019-10-01

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

The integration of mass spectrometry-based proteomics with next-generation DNA and RNA sequencing profiles tumors more comprehensively. Here this "proteogenomics" approach was applied to 122 treatment-naive primary breast cancers accrued preserve post-translational modifications, including protein phosphorylation acetylation. Proteogenomics challenged standard cancer diagnoses, provided detailed analysis the ERBB2 amplicon, defined tumor subsets that could benefit from immune checkpoint...

10.1016/j.cell.2020.10.036 article EN cc-by-nc-nd Cell 2020-11-01

We undertook a comprehensive proteogenomic characterization of 95 prospectively collected endometrial carcinomas, comprising 83 endometrioid and 12 serous tumors. This analysis revealed possible new consequences perturbations to the p53 Wnt/β-catenin pathways, identified potential role for circRNAs in epithelial-mesenchymal transition, provided information about proteomic markers clinical genomic tumor subgroups, including relationships known druggable pathways. An extensive genome-wide...

10.1016/j.cell.2020.01.026 article EN cc-by Cell 2020-02-01
Liwei Cao Chen Huang Daniel Cui Zhou Yingwei Hu T. Mamie Lih and 95 more Sara R. Savage Karsten Krug David Clark Michael Schnaubelt Lijun Chen Felipe da Veiga Leprevost Rodrigo Vargas Eguez Weiming Yang Jianbo Pan Bo Wen Yongchao Dou Wen Jiang Yuxing Liao Zhiao Shi Nadezhda V. Terekhanova Song Cao Rita Jui-Hsien Lu Yize Li Ruiyang Liu Houxiang Zhu Peter Ronning Yige Wu Matthew A. Wyczalkowski Hariharan Easwaran Ludmila Danilova Arvind Singh Mer Seungyeul Yoo Joshua M. Wang Wenke Liu Benjamin Haibe‐Kains Mathangi Thiagarajan Scott D. Jewell Galen Hostetter Chelsea J. Newton Qing Kay Li Michael H. A. Roehrl David Fenyö Pei Wang Alexey I. Nesvizhskii D.R. Mani Gilbert S. Omenn Emily S. Boja Mehdi Mesri Ana I. Robles Henry Rodriguez Oliver F. Bathe Daniel W. Chan Ralph H. Hruban Li Ding Bing Zhang Hui Zhang Mitual Amin Eunkyung An Christina Ayad Thomas Bauer Chet Birger Michael J. Birrer Simina M. Boca William Bocik Melissa Borucki Shuang Cai Steven A. Carr Sandra Cerda Huan Chen Steven Chen David Chesla Arul M. Chinnaiyan Antonio Colaprico Sandra Cottingham Magdalena Derejska Saravana M. Dhanasekaran Marcin J. Domagalski Brian J. Druker Elizabeth R. Duffy Maureen A. Dyer Nathan Edwards Matthew J. Ellis Jennifer Eschbacher Alicia Francis Jesse Francis Stacey Gabriel N Gabrovski Johanna Gardner Gad Getz Michael A. Gillette Charles A. Goldthwaite Pamela Grady Shuai Guo Pushpa Hariharan Tara Hiltke Barbara Hindenach Katherine A. Hoadley Jasmine Huang Corbin D. Jones Karen A. Ketchum

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer with poor patient survival. Toward understanding the underlying molecular alterations that drive PDAC oncogenesis, we conducted comprehensive proteogenomic analysis of 140 pancreatic cancers, 67 normal adjacent tissues, and 9 tissues. Proteomic, phosphoproteomic, glycoproteomic analyses were used to characterize proteins their modifications. In addition, whole-genome sequencing, whole-exome methylation, RNA sequencing...

10.1016/j.cell.2021.08.023 article EN cc-by Cell 2021-09-01

Highlights•An overview of PanCancer Atlas analyses on oncogenic molecular processes•Germline genome affects somatic genomic landscape in a pathway-dependent fashion•Genome mutations impact expression, signaling, and multi-omic profiles•Mutation burdens drivers influence immune-cell composition microenvironmentSummaryThe Cancer Genome (TCGA) has catalyzed systematic characterization diverse alterations underlying human cancers. At this historic junction marking the completion over 11,000...

10.1016/j.cell.2018.03.033 article EN cc-by-nc-nd Cell 2018-04-01

Abstract Large-scale cancer sequencing data enable discovery of rare germline susceptibility variants. Here we systematically analyse 4,034 cases from The Cancer Genome Atlas representing 12 types. We find that the frequency truncations in 114 cancer-susceptibility-associated genes varies widely, 4% (acute myeloid leukaemia (AML)) to 19% (ovarian cancer), with a notably high 11% stomach cancer. Burden testing identifies 13 significant enrichment truncations, some associated specific cancers...

10.1038/ncomms10086 article EN cc-by Nature Communications 2015-12-22
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
Shankha Satpathy Karsten Krug Pierre M. Jean Beltran Sara R. Savage Francesca Petralia and 95 more Chandan Kumar‐Sinha Yongchao Dou Boris Reva M. Harry Kane Shayan C. Avanessian Suhas Vasaikar Azra Krek Jonathan T. Lei Eric J. Jaehnig Tatiana Omelchenko Yifat Geffen Erik J. Bergstrom Vasileios Stathias Karen E. Christianson David I. Heiman Marcin Cieślik Song Cao Xiaoyu Song Jiayi Ji Wenke Liu Kai Li Bo Wen Yize Li Zeynep H. Gümüş Myvizhi Esai Selvan Rama Soundararajan Tanvi H. Visal Maria Gabriela Raso Edwin R. Parra Özgün Babur Pankaj Vats Shankara Anand Tobias Schraink MacIntosh Cornwell Fernanda Martins Rodrigues Houxiang Zhu Chia-Kuei Mo Yuping Zhang Felipe da Veiga Leprevost Chen Huang Arul M. Chinnaiyan Matthew A. Wyczalkowski Gilbert S. Omenn Chelsea J. Newton Stephan C. Schürer Kelly V. Ruggles David Fenyö Scott D. Jewell Mathangi Thiagarajan Mehdi Mesri Henry Rodriguez Sendurai A. Mani Namrata D. Udeshi Gad Getz James Suh Qing Kay Li Galen Hostetter Paul K. Paik Saravana M. Dhanasekaran Ramaswamy Govindan Li Ding Ana I. Robles Karl R. Clauser Alexey I. Nesvizhskii Pei Wang Steven A. Carr Bing Zhang D.R. Mani Michael A. Gillette Alexander L. Green Alfredo Molinolo Alicia Francis Amanda G. Paulovich Andrii Karnuta Antonio Colaprico Barbara Hindenach Barbara L. Pruetz Bartosz Kubisa Brian J. Druker Carissa A. Huynh Charles A. Goldthwaite Chet Birger Christopher R. Kinsinger Corbin D. Jones Dan Rohrer Dana R. Valley Daniel W. Chan David Chesla Donna E. Hansel Elena V. Ponomareva Elizabeth R. Duffy Eric Burks Eric E. Schadt Eugene S. Fedorov Eunkyung An

Lung squamous cell carcinoma (LSCC) remains a leading cause of cancer death with few therapeutic options. We characterized the proteogenomic landscape LSCC, providing deeper exposition LSCC biology potential implications. identify NSD3 as an alternative driver in FGFR1-amplified tumors and low-p63 overexpressing target survivin. SOX2 is considered undruggable, but our analyses provide rationale for exploring chromatin modifiers such LSD1 EZH2 to SOX2-overexpressing tumors. Our data support...

10.1016/j.cell.2021.07.016 article EN cc-by-nc-nd Cell 2021-08-01

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

Pancreatic ductal adenocarcinoma is a lethal disease with limited treatment options and poor survival. We studied 83 spatial samples from 31 patients (11 treatment-naïve 20 treated) using single-cell/nucleus RNA sequencing, bulk-proteogenomics, transcriptomics cellular imaging. Subpopulations of tumor cells exhibited signatures proliferation, KRAS signaling, cell stress epithelial-to-mesenchymal transition. Mapping mutations copy number events distinguished populations normal transitional...

10.1038/s41588-022-01157-1 article EN cc-by Nature Genetics 2022-08-22
Yize Li T. Mamie Lih Saravana M. Dhanasekaran Rahul Mannan Lijun Chen and 95 more Marcin Cieślik Yige Wu Rita Jiu-Hsien Lu David Clark Iga Kołodziejczak Runyu Hong Siqi Chen Yanyan Zhao Seema Chugh Wagma Caravan Nataly Naser Al Deen Noshad Hosseini Chelsea J. Newton Karsten Krug Yuanwei Xu Kyung-Cho Cho Yingwei Hu Yuping Zhang Chandan Kumar‐Sinha Weiping Ma Anna Calinawan Matthew A. Wyczalkowski Michael C. Wendl Yuefan Wang Shenghao Guo Cissy Zhang Anne Le Aniket Dagar Alex Hopkins Hanbyul Cho Felipe da Veiga Leprevost Xiaojun Jing Guo Ci Teo Wenke Liu Melissa A. Reimers Russell K. Pachynski Alexander J. Lazar Arul M. Chinnaiyan Brian Andrew Van Tine Bing Zhang Karin Rodland Gad Getz D.R. Mani Pei Wang Feng Chen Galen Hostetter Mathangi Thiagarajan W. Marston Linehan David Fenyö Scott D. Jewell Gilbert S. Omenn Rohit Mehra Maciej Wiznerowicz Ana I. Robles Mehdi Mesri Tara Hiltke Eunkyung An Henry Rodriguez Daniel W. Chan Christopher J. Ricketts Alexey I. Nesvizhskii Hui Zhang Li Ding Alicia Francis Amanda G. Paulovich Andrzej Antczak Anthony R. Green Antonio Colaprico A. Ari Hakimi Barb Pruetz Barbara Hindenach Birendra Kumar Yadav Boris Reva Brenda Fevrier-Sullivan Brian J. Druker Cezary Szczylik Charles A. Goldthwaite Chet Birger Corbin D. Jones Daniel C. Rohrer Darlene Tansil David Chesla David I. Heiman Elizabeth R. Duffy Eri E. Schadt Francesca Petralia Gabriel Bromiński Gabriela Quiroga‐Garza George D. Wilson Ginny Xiaohe Li Grace Zhao Yi Hsiao James J. Hsieh Jan Lubiński Jasmin Bavarva

Clear cell renal carcinomas (ccRCCs) represent ∼75% of RCC cases and account for most RCC-associated deaths. Inter- intratumoral heterogeneity (ITH) results in varying prognosis treatment outcomes. To obtain the comprehensive profile ccRCC, we perform integrative histopathologic, proteogenomic, metabolomic analyses on 305 ccRCC tumor segments 166 paired adjacent normal tissues from 213 cases. Combining histologic molecular profiles reveals ITH 90% ccRCCs, with 50% demonstrating immune...

10.1016/j.ccell.2022.12.001 article EN cc-by-nc-nd Cancer Cell 2022-12-22
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

Despite remarkable advances in the genomic characterization of adult melanoma, molecular pathogenesis pediatric melanoma remains largely unknown. We analyzed 15 conventional melanomas (CMs), 3 arising congenital nevi (CNMs), and 5 spitzoid (SMs), using various platforms, including whole genome or exome sequencing, inversion probe assay, and/or targeted sequencing. CMs demonstrated a high burden somatic single-nucleotide variations (SNVs), with each case containing TERT promoter (TERT-p)...

10.1038/jid.2014.425 article EN cc-by-nc-nd Journal of Investigative Dermatology 2014-09-30

Abstract Recent advances in mass spectrometry (MS) have enabled extensive analysis of cancer proteomes. Here, we employed quantitative proteomics to profile protein expression across 24 breast patient-derived xenograft (PDX) models. Integrated proteogenomic shows positive correlation between measurements from transcriptomic and proteomic analyses; further, gene expression-based intrinsic subtypes are largely re-capitulated using non-stromal markers. Proteogenomic also validates a number...

10.1038/ncomms14864 article EN cc-by Nature Communications 2017-03-28

We present a systematic analysis of the effects synchronizing large-scale, deeply characterized, multi-omic dataset to current human reference genome, using updated software, pipelines, and annotations. For each 5 molecular data platforms in The Cancer Genome Atlas (TCGA)—mRNA miRNA expression, single nucleotide variants, DNA methylation copy number alterations—comprehensive sample, gene, probe-level studies were performed, towards quantifying degree similarity between 'legacy' GRCh37 (hg19)...

10.1016/j.cels.2019.06.006 article EN cc-by Cell Systems 2019-07-01

Abstract Multiple myeloma (MM) is characterized by the uncontrolled proliferation of plasma cells. Despite recent treatment advances, it still incurable as disease progression not fully understood. To investigate MM and its immune environment, we apply single cell RNA linked-read whole genome sequencing to profile 29 longitudinal samples at different stages from 14 patients. Here, collect 17,267 cells 57,719 cells, discovering patient-specific profiles expression changes. Patients with same...

10.1038/s41467-021-22804-x article EN cc-by Nature Communications 2021-05-07
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