ArticleProteomics insights2010
How Many proteins are Missed in Quantitative proteomics Based on Ms/Ms sequencing Methods?
Article in Proteomics insights, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Inflammasomes meet organoids and artificial intelligence: unraveling the complexity of gynecological inflammation.Frontiers in immunology · 2026Review
- Enhancing homology-directed repair efficiency with HDR-boosting modular ssDNA donor.Nature communications · 2024Article
- Protein-gene Expression Nexus: Comprehensive characterization of human cancer cell lines with proteogenomic analysis.Computational and structural biotechnology journal · 2021Article
- Proteomic approaches to understanding the role of the cytoskeleton in host-defense mechanisms.Expert review of proteomics · 2011Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Current bottom-up quantitative proteomics methods based on MS/MS sequencing of peptides are shown to be strongly dependent on sample preparation. Using cytosolic proteins from MCF-7 breast cancer cells, it is shown that protein pre-fractionation based on pI and MW is more effective than pre-fractionation using only MW in increasing the number of observed proteins (947 vs. 704 proteins) and the number of spectral counts per protein. Combination of MS data from the different pre-fractionation methods results in further improvements (1238 proteins). We discuss that at present the main limitation on quantitation by MS/MS sequencing is not MS sensitivity and protein abundance, but rather extensive peptide overlap and limited MS/MS sequencing throughput, and that this favors internally calibrated methods such as SILAC, ICAT or ITRAQ over spectral counting methods in attempts to drastically improve proteome coverage of biological samples.
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Registered trials
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