Protocol for Increasing the Sensitivity of MS-Based Protein Detection in Human Chorionic Villi.
Timur ShkrigunovPavel V PogodinVictor G ZgodaOlesya LarinaYulia KisrievaMaria KlimenkoOleg LatyshkevichPeter KlimenkoAndrey LisitsaNatalia A PetushkovaPublished in: Current issues in molecular biology (2022)
An important step in the proteomic analysis of missing proteins is the use of a wide range of tissues, optimal extraction, and the processing of protein material in order to ensure the highest sensitivity in downstream protein detection. This work describes a purification protocol for identifying low-abundance proteins in human chorionic villi using the proposed "1DE-gel concentration" method. This involves the removal of SDS in a short electrophoresis run in a stacking gel without protein separation. Following the in-gel digestion of the obtained holistic single protein band, we used the peptide mixture for further LC-MS/MS analysis. Statistically significant results were derived from six datasets, containing three treatments, each from two tissue sources (elective or missed abortions). The 1DE-gel concentration increased the coverage of the chorionic villus proteome. Our approach allowed the identification of 15 low-abundance proteins, of which some had not been previously detected via the mass spectrometry of trophoblasts. In the post hoc data analysis, we found a dubious or uncertain protein (PSG7) encoded on human chromosome 19 according to neXtProt. A proteomic sample preparation workflow with the 1DE-gel concentration can be used as a prospective tool for uncovering the low-abundance part of the human proteome.
Keyphrases
- endothelial cells
- mass spectrometry
- protein protein
- data analysis
- randomized controlled trial
- amino acid
- binding protein
- pluripotent stem cells
- healthcare
- gene expression
- wound healing
- label free
- multiple sclerosis
- high resolution
- dna methylation
- liquid chromatography
- ms ms
- hyaluronic acid
- copy number
- rna seq
- high performance liquid chromatography
- single cell
- quantum dots