Related Experiment Video
Updated: Jul 18, 2026
Automatic Separation and Collection of Cancer-Related Substances from Clinical Samples
Published on: January 13, 2023
Higher dimensional (Hi-D) separation strategies dramatically improve the potential for cancer biomarker detection in
Seth A Hoffman1, Won-A Joo, Lynn A Echan
1The Wistar Institute, 3601 Spruce Street, Philadelphia, PA 19104, USA.
Abstract:
The plasma proteome has a wide dynamic range of protein concentrations and is dominated by a few highly abundant proteins. Discovery of novel cancer biomarkers using proteomics is particularly challenging because specific biomarkers are expected to be low abundance proteins with normal blood concentrations of low nanograms per milliliter or less. Conventional, one- and two-dimensional proteomic methods including 2D PAGE, 2D DIGE, LC-MS/MS, and LC/LC-MS/MS do not have the capacity to consistently detect many proteins in this range. In contrast, new higher dimensional (Hi-D) separation strategies, utilizing more than two dimensions of fractionation, can profile the low abundance proteome.
