Proteoform Identification in 2D Electrophoresis Maps by Using Isoelectric Point Prediction

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Published: Mar 30, 2023
DOI: https://doi.org/10.18097/BMCRM00191
Keywords:
isoelectric point; 2D electrophoresis; proteform analysis

Main Article Content

A.V. Rybina
Institute of Biomedical Chemistry, 10 Pogodinskaya str., Moscow, 119121 Russia

Abstract

The possibility of identifying specific protein proteoforms with post-translational modifications (PTM) by analyzing two-dimensional (2D) gel electrophoresis maps and using the prediction of the isoelectric point of proteins (pI) has been investigated. The pI values were predicted using the pIPredict 3 program, supporting a wide range of chemical and post-translational modifications. Eleven 11 proteins (albumin, alpha-1-microglobulin, annexin A2, apolipoprotein E, gastric triacylglycerol lipase, mitochondrial isocitrate dehydrogenase, clusterin, plasmin, prothrombin, endoplasmic reticulum chaperone, S-adenosylmethionine synthase type 1) identified on six 2D electrophoresis maps were used as examples. Various options for selecting hypotheses are considered. These take into consideration the following available information about a particular protein: possible modification sites, processing features, variability of the amino acid composition. The obtained results indicate that the use of predicting the pI value for proteins with hypothetical PTMs can form a set of hypotheses about specific proteoform occurrence on 2D electrophoresis maps.

Article Details

How to Cite
Rybina, A. (2023). Proteoform Identification in 2D Electrophoresis Maps by Using Isoelectric Point Prediction. Biomedical Chemistry: Research and Methods, 6(1), e00191. https://doi.org/10.18097/BMCRM00191
Issue
Vol. 6 No. 1 (2023)
Section
PROTOCOLS OF EXPERIMENTS, USEFUL MODELS, PROGRAMS AND SERVICES

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