Ontology highlight
ABSTRACT:
SUBMITTER: Sun J
PROVIDER: S-EPMC3163840 | biostudies-literature | 2010 Aug
REPOSITORIES: biostudies-literature
Sun Jing J Masterman-Smith Michael D MD Graham Nicholas A NA Jiao Jing J Mottahedeh Jack J Laks Dan R DR Ohashi Minori M DeJesus Jason J Kamei Ken-ichiro K Lee Ki-Bum KB Wang Hao H Yu Zeta T F ZT Lu Yi-Tsung YT Hou Shuang S Li Keyu K Liu Max M Zhang Nangang N Wang Shutao S Angenieux Brigitte B Panosyan Eduard E Samuels Eric R ER Park Jun J Williams Dirk D Konkankit Vera V Nathanson David D van Dam R Michael RM Phelps Michael E ME Wu Hong H Liau Linda M LM Mischel Paul S PS Lazareff Jorge A JA Kornblum Harley I HI Yong William H WH Graeber Thomas G TG Tseng Hsian-Rong HR
Cancer research 20100714 15
The clinical practice of oncology is being transformed by molecular diagnostics that will enable predictive and personalized medicine. Current technologies for quantitation of the cancer proteome are either qualitative (e.g., immunohistochemistry) or require large sample sizes (e.g., flow cytometry). Here, we report a microfluidic platform-microfluidic image cytometry (MIC)-capable of quantitative, single-cell proteomic analysis of multiple signaling molecules using only 1,000 to 2,800 cells. Us ...[more]