D.R. Mani

ORCID: 0000-0003-3914-133X
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About
Contact & Profiles
Research Areas
  • Advanced Proteomics Techniques and Applications
  • Mass Spectrometry Techniques and Applications
  • Ubiquitin and proteasome pathways
  • Cancer Genomics and Diagnostics
  • Ferroptosis and cancer prognosis
  • RNA modifications and cancer
  • Metabolomics and Mass Spectrometry Studies
  • Bioinformatics and Genomic Networks
  • Protein Degradation and Inhibitors
  • Molecular Biology Techniques and Applications
  • Gene expression and cancer classification
  • Cancer-related Molecular Pathways
  • Neurobiology and Insect Physiology Research
  • Analytical Chemistry and Chromatography
  • Advanced Biosensing Techniques and Applications
  • Pancreatic and Hepatic Oncology Research
  • Multiple Myeloma Research and Treatments
  • Receptor Mechanisms and Signaling
  • Data Mining Algorithms and Applications
  • Glycosylation and Glycoproteins Research
  • Customer churn and segmentation
  • AI-based Problem Solving and Planning
  • Cancer Research and Treatments
  • Monoclonal and Polyclonal Antibodies Research
  • Epigenetics and DNA Methylation

Broad Institute
2016-2025

Massachusetts Institute of Technology
2006-2024

James S. McDonnell Foundation
2024

Washington University in St. Louis
2024

Harvard University
2005-2024

Intelligent Health (United Kingdom)
2024

Brigham Young University
2023

Wroclaw Medical University
2023

National Cancer Institute
2019-2023

Cancer Clinic
2023

10.1016/j.cell.2016.05.069 article EN publisher-specific-oa Cell 2016-07-01
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

Adoption of targeted mass spectrometry (MS) approaches such as multiple reaction monitoring (MRM) to study biological and biomedical questions is well underway in the proteomics community. Successful application depends on ability generate reliable assays that uniquely confidently identify target peptides a sample. Unfortunately, there wide range criteria being applied say an assay has been successfully developed. There no consensus what are acceptable little understanding impact variable...

10.1074/mcp.m113.036095 article EN cc-by Molecular & Cellular Proteomics 2014-01-18

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

Protein abundance and phosphorylation convey important information about pathway activity molecular pathophysiology in diseases including cancer, providing biological insight, informing drug diagnostic development, guiding therapeutic intervention. Analyzed tissues are usually collected without tight regulation or documentation of ischemic time. To evaluate the impact ischemia, we human ovarian tumor breast cancer xenograft tissue vascular interruption performed quantitative proteomics...

10.1074/mcp.m113.036392 article EN cc-by Molecular & Cellular Proteomics 2014-04-10

Pancreatic ductal adenocarcinoma (PDAC) has prominent extracellular matrix (ECM) that compromises treatments yet cannot be nonselectively disrupted without adverse consequences. ECM of PDAC, despite the recognition its importance, not been comprehensively studied in patients. In this study, we used quantitative mass spectrometry (MS)-based proteomics to characterize proteins normal pancreas and pancreatic intraepithelial neoplasia (PanIN)- PDAC-bearing from both human patients mouse genetic...

10.1073/pnas.1908626116 article EN Proceedings of the National Academy of Sciences 2019-09-04

Most small-molecule probes and drugs alter cell circuitry by interacting with 1 or more proteins. A complete understanding of the proteins their associated protein complexes, whether compounds are discovered cell-based phenotypic target-based screens, is extremely rare. Such a capability expected to be highly illuminating—providing strong clues mechanisms used small-molecules achieve recognized actions suggesting potential unrecognized actions. We describe powerful method combining...

10.1073/pnas.0900191106 article EN Proceedings of the National Academy of Sciences 2009-03-03

Detection of endogenous ubiquitination sites by mass spectrometry has dramatically improved with the commercialization anti-di-glycine remnant (K-ε-GG) antibodies. Here, we describe a number improvements to K-ε-GG enrichment workflow, including optimized antibody and peptide input requirements, cross-linking, off-line fractionation prior enrichment. This refined practical workflow enables routine identification quantification ∼20,000 distinct in single SILAC experiment using moderate amounts...

10.1074/mcp.o112.027094 article EN cc-by Molecular & Cellular Proteomics 2012-12-25

Verification of candidate biomarkers requires specific assays to selectively detect and quantify target proteins in accessible biofluids. The primary objective verification is screen potential ensure that only the highest quality candidates from discovery phase are taken forward into preclinical validation. Because antibody reagents for a clinical grade immunoassay often exist small number candidates, alternative methodologies required credential new unproven statistically viable serum or...

10.1074/mcp.m900140-mcp200 article EN cc-by Molecular & Cellular Proteomics 2009-07-14
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
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