Dr. Amanda G. Paulovich

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University of Washington
Graduate School
Molecular and Cellular Biology Program
Assistant ProfessorAppointed: 2007
School of Medicine
Department of Medicine
Oncology
Assistant ProfessorAppointed: 2005
Fred Hutchinson Cancer Research Center
Clinical Research
Early Detection Initiative
Assistant MemberAppointed: 2003
Professional Headshot of Amanda G. Paulovich

Mailing Address

1100 Fairview Avenue North
LE-360
P.O. Box 19024
Seattle, Washington 98109-1024
United States

Contact Information

Phone: (206) 667-1912
Fax: (206) 667-2277
apaulovi@fhcrc.org

Qualifications

Fellowship, Dana Farber Cancer Institute, Medical Oncology, 2004.
Postdoctoral Fellowship, MIT-Whitehead Center for Genomic Research, Computational Biology (Dr. Eric Lander), 2003.
Residency, Massachusetts General Hospital, Internal Medicine, 2000.
M.D., University of Washington, 1998.
Ph.D., University of Washington, Genetics (Dr. Leland Hartwell), 1996.
B.S., Carnegie Mellon University, Biological Sciences, 1988.

Expertise and Research Interests

The focus of my laboratory is the study of human phenotypic variation. Sample projects include:

1. Development of high throughput, multiplexed technologies for targeted protein quantification in blood plasma and solid tissues. We use targeted multiple reaction monitoring mass spectrometry coupled to stable isotope dilution and anti-peptide antibody-based enrichment to measure the abundance of proteotypic peptides as surrogates for quantification of proteins of diagnostic interest. Initially, this work is being done in a highly controlled experimental system: inbred mouse strains genetically engineered to develop cancers. The use of mouse models allows us to minimize biological variation ("noise") and to generate as much sample as needed for technology development. Ultimately, we apply working technologies developed using the mouse model to measurement of candidate diagnostic markers in human patients.

2. Development of high throughput functional assays to determine human phenotypic variation in the cellular DNA damage response. The cellular response to DNA damage is clinically relevant in human cancer. For example, familial cancer syndromes mostly result from germline mutations that compromise the cellular DNA damage response. Second, somatic inactivation of the DNA damage response is ubiquitous in solid tumors and is associated with chromosomal instability. Third radiation and many chemotherapeutics used to treat cancers are DNA damaging agents. Little is known about naturally existing phenotypic variation in the DNA damage response amongst humans, aside from rare familial syndromes. To characterize phenotypic variation in the human population, we are developing high throughput, quantitative assays (e.g. ELISAs) to measure the kinetics of activation of the DNA damage response pathway following gamma-irradiation. Understanding human variation in this response may be clinically important for predicting risk for developing cancer as well as for predicting toxicity to cancer therapies. Also, because the cellular response to radiation is rapid, dose- dependent, time-dependent, and occurs at clinically relevant doses, these assays may also have utility for biodosimetry in the event of a nuclear disaster.

3. Elucidate the network of genes and pathways that buffer defects in the DNA damage response. The cellular DNA damage response shows robustness in that networks of multiple genes (from multiple cellular pathways) buffer the effects of defects in any one gene in the pathway. We use genetic studies in the model yeast Saccharomyces cerevisiae to discover interacting genes and pathways determining sensitivity to DNA damage, and we subsequently test for conservation of these interactions in human cells using RNA interference. The ultimate goals of these studies are to identify novel therapeutic targets, to discover novel tumor suppressor genes, and to understand the underlying molecular mechanisms of the cellular DNA damage response.

Keywords

COS Keywords:

Clinical Research or Studies, DNA, Health and Medicine, Natural and Physical Sciences, Mathematics and Technology, Oncology, Preventive Medicine, Risk Factor Analysis.

Additional Terms:

DNA Damage, Early Detection, Oncology, Risk Assesment.

Memberships

Advisory Board Member, Women's Bioethics Project
American Association for the Advancement of Science
American Chemical Society
American Society for Mass Spectrometry
FHCRC/UW Cancer Consortium
Radiation Research Society
Scientific Advisory Board, Bio-Rad Life Sciences
Steering Committee, International Biomarker Research Consortium
Steering Committee, NCI Affinity Reagents Project
Technology Advisory Board, Canary Foundation

Honors and Awards

2005, Roger Moe Award for Translational Research, Fred Hutchinson Cancer Research Center
2002-2003, Damon Runyon Research Fellowship, Abbott Fellow, Whitehead Institute Center for Genomics Research, DNA damage response, microarrays, computational biology
1992, Merck Distinguished Fellow Award, University of Washington, S phase regulation in yeast responding to DNA damage
1989, HHMI Research Fellowship, University of Washington, Characterization of transgenic mouse model of pancreatic cancer
1988, Carnegie Mellon Award for Outstanding Research, Carnegie Mellon University, Coordinate Regulation of a ribosomal protein gene family in yeast
1987, Genetics Society of America Undergraduate Research Fellowship, Carnegie Mellon University, Coordinate Regulation of a ribosomal protein gene family in yeast

Publications

  • Wang, Tang, Zhang, Whiteaker, Paulovich, McIntosh (2006) Normalization regarding non-random missing values in high-throughput mass spectrometry data., Proceedings of the Pacific Symposium
  • Miguel, Keane, Whiteaker, Zhang, Paulovich (2006) Compression of LC/MS Proteomic Data, Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems
  • Whiteaker, Zhang, Eng, Fang, Piening, Feng, Lorentzen, Schoenherr, Keane, Holzman, Fitzgibbon, Lin, Cooke, Liu, Camp, Anderson, Watts, Smith, McIntosh, Paulovich (2006) head-to-Head Comparison of Serum Fractionation Techniques, Journal of Proteome Research, In Press
  • Whiteaker, Zhao, Zhang, Feng, Piening, Anderson, Paulovich (2006) Antibody-based enrichment of peptides on magnetic beads for mass spectrometry-based quanification of serum biomarkers, Analytical Biochemistry, In Press
  • Bellew, Coram, Fitzgibbion, Igra, Randolph, Wang, May, Enga, Fang, Lin, Chen, Goodlett, Whiteaker, Paulovich, McIntosh (2006) A suite of algorithms for the comprehensive analysis of complex protein mixtures using high-resolution LC-MS, Bioinformatics, 11 (15), 1902-1909
  • Haab, Paulovich, Anderson, Clark, Downing, Hermjakob, Labaer, Uhlen (2006) A reagent resource to identify proteins and peptides of interest to the cancer community: A workshop report, Mol Cell Proteomics, 5 (10), 1996-2007
  • Piening, Wang, Bangur, Whiteaker, Zhang, Feng, Keane, Eng, Tang, Prakash, McIntosh, Paulovich (2006) Quality control metrics for LC-MS feature detection tools demonstrated on Saccharomyces cerevisiae proteomic profiles, Journal of Proteome Research, 5 (7), 1527-34
  • Hartwell, Mankoff, Paulovich, Ramsey, Swisher (2006) Cancer biomarkers: a systems approach, Nature Biotechnology, 24 (8), 905-908
  • Subramanian, Tamayo, Mootha, Mukherjee, Ebert, Gillette, Paulovich, Pomeroy, Golub, Lander, Mesirov (2005) Gene Set Enrichment Analysis: A Knowledge-Based Approach for Interpreting Genome-wide Expression Profiles., PNAS
  • Prakash, Mallick, Whiteaker, Zhang, Paulovich, Flory, Lee, Aebersold, Schwikowski (2005) Signal maps for mass spectrometry-based comparative proteomics., Molecular Cellular Proteomics
  • Rauch, Bellew, Eng, Fitzgibbion, Holzman, Hussey, Igra, Maclean, Lin, Detter, Fang, Faca, Gafken, Zhang, Whiteaker, States, Hanash, Paulovich, McIntosh (2005) Computational Proteomics Analysis System (CPAS): An extensible open source analytic system for evaluating and publishing proteomic data and high throughput biological experiments., Journal of Proteome Research, 102 (43), 15545-50
  • Paulovich AG, Armour CD, Hartwell LH, The Saccharomyces cerevisiae RAD9, RAD17, RAD24 and MEC3 genes are required for tolerating irreparable, ultraviolet-induced DNA damage, Genetics, 150(1), 75-93, September 1998 Abstract
  • Paulovich AG, Toczyski DP, Hartwell LH, When checkpoints fail, Cell, 88(3), 315-21, February 1997 Abstract
  • Paulovich AG, Margulies RU, Garvik BM, Hartwell LH, RAD9, RAD17, and RAD24 are required for S phase regulation in Saccharomyces cerevisiae in response to DNA damage, Genetics, 145(1), 45-62, January 1997 Abstract
  • Li Z, Paulovich AG, Woolford JL Jr, Feedback inhibition of the yeast ribosomal protein gene CRY2 is mediated by the nucleotide sequence and secondary structure of CRY2 pre-mRNA, Molecular and Cellular Biology, 15(11), 6454-64, November 1995 Abstract
  • Paulovich AG, Hartwell LH, A checkpoint regulates the rate of progression through S phase in S. cerevisiae in response to DNA damage, Cell, 82(5), 841-7, September 1995 Abstract
  • Paulovich AG, Thompson JR, Larkin JC, Li Z, Woolford JL Jr, Molecular genetics of cryptopleurine resistance in Saccharomyces cerevisiae: expression of a ribosomal protein gene family, Genetics, 135(3), 719-30, November 1993 Abstract
  • Deshmukh M, Tsay YF, Paulovich AG, Woolford JL Jr, Yeast ribosomal protein L1 is required for the stability of newly synthesized 5S rRNA and the assembly of 60S ribosomal subunits, Molecular and Cellular Biology, 13(5), 2835-45, May 1993 Abstract
  • Sandgren EP, Quaife CJ, Paulovich AG, Palmiter RD, Brinster RL, Pancreatic tumor pathogenesis reflects the causative genetic lesion, Proceedings of the National Academy of Sciences of the United States of America., 88(1), 93-7, January 1991 Abstract
  • Moritz M, Paulovich AG, Tsay YF, Woolford JL Jr, Depletion of yeast ribosomal proteins L16 or rp59 disrupts ribosome assembly, Journal of Cell Biology, 111(6 Pt 1), 2261-74, December 1990 Abstract

Profile Details

Last Updated: 5/6/2008

COS Expertise ID #1122426
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