Skip to main content
 

Nano-Proteomic Analysis Technologies: Advancing Quantitative Proteomic Research, Biomarker Assessment, and Molecular Profiling

Wednesday, September 14, 2016 — Poster Session I

3:00 p.m. – 4:30 p.m.
FAES Terrace
NCI
CANCER-14

Authors

  • JQ Chen
  • X Luo

Abstract

The Collaborative Protein Technology Resource (CPTR) is tasked to develop cutting edge protein analysis technologies and provide CCR/NCI/NIH investigators with • comprehensive and quantitative cell signaling event dissection • nanoscale proteomics assessment • biomarker development and therapeutic target identification • clinically applicable assay development and applications To address the challenges of conventional proteomic approaches, such as limited sample size, poor assay reproducibility and unreliable data quantification, a novel automated capillary nano-immunoassay (CNIA) system (Simple WesternTM, ProteinSimple) has been recently deployed and further developed in our core. Over two hundred assays covering key signaling pathways have been established and successfully applied on precise and accurate measurement for signaling molecule activity and quantitative proteomic studies. Robust assay performance using only nanograms of protein makes the CNIA technology appealing for analysis in extremely small and precious samples, such as stem cells, primary cells, fine needle aspirates, and other patient specimens etc. This approach enables the measurement of protein level responses to drug treatment in specimens collected in a non- or minimally- invasive manner. A high-throughput, high-performance in-solution multiplex ELISA system, based on the Luminex xMAP technology, has also been implemented. The system is widely used for cytokine, metabolite, immune response, serum/plasma biomarker analysis in both discovery research and clinical practice. We also actively evaluating, developing, and implementing advanced proteomic analysis technologies. We are implementing a novel single-cell Western system, which performs Western analysis on thousands of single cells in parallel, offers a tool for single cell signaling study and population heterogeneity dissection.

Category: Cancer Biology