Amanda G. Paulovich

ORCID: 0000-0001-6532-6499
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About
Contact & Profiles
Research Areas
  • Advanced Proteomics Techniques and Applications
  • Mass Spectrometry Techniques and Applications
  • Metabolomics and Mass Spectrometry Studies
  • Cancer Genomics and Diagnostics
  • DNA Repair Mechanisms
  • RNA modifications and cancer
  • Bioinformatics and Genomic Networks
  • Ferroptosis and cancer prognosis
  • Monoclonal and Polyclonal Antibodies Research
  • Molecular Biology Techniques and Applications
  • Ubiquitin and proteasome pathways
  • Advanced biosensing and bioanalysis techniques
  • CAR-T cell therapy research
  • Advanced Biosensing Techniques and Applications
  • Gene expression and cancer classification
  • Cancer-related Molecular Pathways
  • Carcinogens and Genotoxicity Assessment
  • Viral Infectious Diseases and Gene Expression in Insects
  • Machine Learning in Bioinformatics
  • Glycosylation and Glycoproteins Research
  • Cancer, Hypoxia, and Metabolism
  • Immunotherapy and Immune Responses
  • Cancer, Lipids, and Metabolism
  • Genetic factors in colorectal cancer
  • Lung Cancer Treatments and Mutations

Fred Hutch Cancer Center
2015-2024

University of Washington
1993-2024

Target (United States)
2023

Brotman Baty Institute
2023

Fusion Academy
2020

Fusion (United States)
2020

Clinical Research Consortium
2020

Seattle University
2020

Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa
1998-2018

Cancer Research Center
2006-2018

Although genomewide RNA expression analysis has become a routine tool in biomedical research, extracting biological insight from such information remains major challenge. Here, we describe powerful analytical method called Gene Set Enrichment Analysis (GSEA) for interpreting gene data. The derives its power by focusing on sets, that is, groups of genes share common function, chromosomal location, or regulation. We demonstrate how GSEA yields insights into several cancer-related data...

10.1073/pnas.0506580102 article EN Proceedings of the National Academy of Sciences 2005-09-30

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

The complexity of proteomic instrumentation for LC-MS/MS introduces many possible sources variability. Data-dependent sampling peptides constitutes a stochastic element at the heart discovery proteomics. Although this variation impacts identification peptides, identifications are far from completely random. In study, we analyzed interlaboratory data sets NCI Clinical Proteomic Technology Assessment Cancer to examine repeatability and reproducibility in peptide protein identifications....

10.1021/pr9006365 article EN Journal of Proteome Research 2009-11-19

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

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

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

There is an urgent need for quantitative assays in verifying and validating the large numbers of protein biomarker candidates produced modern “-omics” experiments. Stable isotope standards with capture by anti-peptide antibodies (SISCAPA) has shown tremendous potential to meet this combining peptide immunoaffinity enrichment mass spectrometry. In study, we describe three significant advances SISCAPA technique. First, develop a method automated magnetic bead-based platform capable high...

10.1074/mcp.m900254-mcp200 article EN cc-by Molecular & Cellular Proteomics 2009-10-21

The National Cancer Institute (NCI) Clinical Proteomic Tumor Analysis Consortium is applying the latest generation of proteomic technologies to genomically annotated tumors from Genome Atlas (TCGA) program, a joint initiative NCI and Human Research Institute. By providing fully integrated accounting DNA, RNA, protein abnormalities in individual tumors, these datasets will illuminate complex relationship between genomic cancer phenotypes, thus producing biologic insights as well wave novel...

10.1158/2159-8290.cd-13-0219 article EN Cancer Discovery 2013-10-01
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
Francesca Petralia Nicole Tignor Boris Reva Mateusz Koptyra Shrabanti Chowdhury and 95 more Dmitry Rykunov Azra Krek Weiping Ma Yuankun Zhu Jiayi Ji Anna Calinawan Jeffrey R. Whiteaker Antonio Colaprico Vasileios Stathias Tatiana Omelchenko Xiaoyu Song Pichai Raman Yiran Guo Miguel Brown Richard G. Ivey John Szpyt Sanjukta Guha Thakurta Marina Gritsenko Karl Weitz Gonzalo López Selim Kalaycı Zeynep H. Gümüş Seungyeul Yoo Felipe da Veiga Leprevost Hui-Yin Chang Karsten Krug Lizabeth Katsnelson Ying Wang Jacob J. Kennedy Uliana J. Voytovich Lei Zhao Krutika S. Gaonkar Brian Ennis Bo Zhang Valérie Baubet Lamiya Tauhid Jena Lilly Jennifer Mason Bailey Farrow Nathan Young Sarah Leary Jamie Moon Vladislav Petyuk Javad Nazarian Nithin D. Adappa James N. Palmer Robert M. Lober Samuel Rivero-Hinojosa Liang-Bo Wang Joshua M. Wang Matilda Broberg Rosalie Chu Ronald J. Moore Matthew Monroe Rui Zhao Richard Smith Jun Zhu Ana I. Robles Mehdi Mesri Emily S. Boja Tara Hiltke Henry Rodriguez Bing Zhang Eric E. Schadt D.R. Mani Li Ding Antonio Iavarone Maciej Wiznerowicz Stephan C. Schürer Xi S. Chen Allison P. Heath Jo Lynne Rokita Alexey I. Nesvizhskii David Fenyö Karin Rodland Tao Liu Steven P. Gygi Amanda G. Paulovich Adam Resnick Phillip B. Storm Brian R. Rood Pei Wang Alicia Francis Allison M. Morgan Angela J. Waanders Angela N. Viaene Anna Maria Buccoliero Arul M. Chinnaiyan Carina A. Leonard Cassie Kline Chiara Caporalini Christopher R. Kinsinger Chunde Li David E. Kram Derek Hanson

We report a comprehensive proteogenomics analysis, including whole-genome sequencing, RNA and proteomics phosphoproteomics profiling, of 218 tumors across 7 histological types childhood brain cancer: low-grade glioma (n = 93), ependymoma (32), high-grade (25), medulloblastoma (22), ganglioglioma (18), craniopharyngioma (16), atypical teratoid rhabdoid tumor (12). Proteomics data identify common biological themes that span boundaries, suggesting treatments used for one type may be applied...

10.1016/j.cell.2020.10.044 article EN cc-by-nc-nd Cell 2020-11-25

Panorama is a web application for storing, sharing, analyzing, and reusing targeted assays created refined with Skyline,1 an increasingly popular Windows client software tool proteomics experiments. allows laboratories to store organize curated results contained in Skyline documents fine-grained permissions, which facilitates distributed collaboration secure sharing of published unpublished data via web-browser interface. It fully integrated the workflow supports publishing document directly...

10.1021/pr5006636 article EN publisher-specific-oa Journal of Proteome Research 2014-08-07

For many years, basic and clinical researchers have taken advantage of the analytical sensitivity specificity afforded by mass spectrometry in measurement proteins. Clinical laboratories are now beginning to deploy these work flows as well. assays that use proteolysis generate peptides for protein quantification characterization, synthetic stable isotope-labeled internal standard central importance. No general recommendations currently available surrounding spectrometric assays.The Proteomic...

10.1373/clinchem.2015.250563 article EN Clinical Chemistry 2015-12-30

There is an increasing need in biology and clinical medicine to robustly reliably measure tens hundreds of peptides proteins biological samples with high sensitivity, specificity, reproducibility, repeatability. Previously, we demonstrated that LC-MRM-MS isotope dilution has suitable performance for quantitative measurements small numbers relatively abundant human plasma the resulting assays can be transferred across laboratories while maintaining reproducibility precision. Here,...

10.1074/mcp.m114.047050 article EN cc-by Molecular & Cellular Proteomics 2015-02-19

Diffuse intrinsic pontine glioma (DIPG) remains a fatal brainstem tumor demanding innovative therapies. As B7-H3 (CD276) is expressed on central nervous system (CNS) tumors, we designed B7-H3-specific chimeric antigen receptor (CAR) T cells, confirmed their preclinical efficacy, and opened BrainChild-03 (NCT04185038), first-in-human phase I trial administering repeated locoregional CAR cells to children with recurrent/refractory CNS tumors DIPG. Here, report the results of first three...

10.1158/2159-8290.cd-22-0750 article EN cc-by-nc-nd Cancer Discovery 2022-10-19
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