Cancer Science & Therapy

Peter E Barker

Peter E Barker, Ph D
Executive Editor
National Institute of Standards and Technology, Project Leader/Biologist, Division of Biomedical Sciences, USA

Biography

Peter E Barker is a Project Leader/Biologist at Biochemical Science Division, National Institute of Standards and Technology (NIST), holds degrees from Cornell (B. A. Biological Sciences) and the University of Texas Graduate School of Biomedical Sciences (M.S./Ph.D., cell and molecular biology, M. D. Anderson Cancer Center, Houston). Following postdoctoral work in biology and human genetics at Yale (New Haven), he served on faculty at UAB (Assistant Professor of Biochemistry and Medical Genetics). After sabbatical work in molecular cytogenetics at DKFZ, Heidelberg (German Cancer Research Center), he was Staff Scientist at Cold Spring Harbor Laboratory prior to moving to NIST in 1997, and initiated the NIST/EDRN-NCI Cancer Biomarkers Reference Laboratory as Principal Investigator in 2000. Work in his lab on qdot imaging was covered on CNN (2004) and designated best paper at the 25th Army Science Conference (2006). He was a member of the NCCLS guidance committee on FISH in medical genetics. Current work is funded by the National Cancer Institute Early Detection Research Network (EDRN), NIH and NIST. He serves on editorial boards of Disease Markers, Clinical Proteomics and Biomarker Insights and has served on biotechnology study sections at NIH, NCI and NSF as reviewer and chairman, and FDA panelist. He is co-chair of the AACR-FDA-NCI Cancer Biomarker Collaborative (CBC), and a member of caHUB/NCI Working Group (2009).

Research Interest

Cancer biomarker validation, high-throughput genetic screening technologies, cellular bioimaging with semiconductor nanocrystals, and mtDNA/NUMTs bioimaging. With NIST and NIH funding, he is currently developing a national standard for HER2 testing in breast cancer. His work includes 91 peer-reviewed publications, and 86 published abstracts in human genetics, biotechnology and cancer biomarker validation.