How could IonStar challenge the current status quo of quantitative proteomics in large sample cohorts?

Expert Rev Proteomics. 2018 Jul;15(7):541-543. doi: 10.1080/14789450.2018.1490646. Epub 2018 Jun 26.

Authors

Shichen Shen^{1

2}, Xue Wang^{2

3}, Benjamin C Orsburn⁴, Jun Qu^{1

2}

Affiliations

¹ a Department of Pharmaceutical Sciences , School of Pharmacy and Pharmaceutical Sciences, University at Buffalo , Buffalo , NY , USA.
² b New York State Center of Excellence in Bioinformatics & Life Sciences , Buffalo , NY , USA.
³ c Department of Cell Stress Biology , Roswell Park Cancer Institute , Buffalo , NY , USA.
⁴ d Cancer Research Technology Program, Frederick National Laboratory for Cancer Research , Frederick , Maryland , USA.

PMID: 29911452
DOI: 10.1080/14789450.2018.1490646

No abstract available

Keywords: Quantitative proteomics; ionstar; large scale analysis.

Publication types

Editorial
Review

MeSH terms

Animals
Cohort Studies
Humans
Mass Spectrometry
Proteomics / methods*