ArticleJournal of biomolecular techniques : JBT2004
Mass processing--an improved technique for protein identification with mass spectrometry data.
Article in Journal of biomolecular techniques : JBT, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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
2 citing papers in PubMed.
- Inferring predominant pathways in cellular models of breast cancer using limited sample proteomic profiling.BMC cancer · 2010Article
- Development of an automated digestion and droplet deposition microfluidic chip for MALDI-TOF MS.Journal of the American Society for Mass Spectrometry · 2008Article
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Authors and funding
4 authors.
Funding
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Abstract
Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry analysis following tryptic digestion of polyacrylamide gel pieces is a common technique used to identify proteins. This approach is rapid, sensitive, and user friendly, and is becoming widely available to scientists in a variety of biological fields. Here we introduce a simple and effective strategy called "mass processing" where the list of masses generated from a mass spectrometer undergoes two stages of data reduction before identification. Mass processing improves the ability to identify in-gel tryptic-digested proteins by reducing the number of nonsample masses submitted to protein identification database search engines. Our results demonstrate that mass processing improves the statistical score and rank of putative protein identifications, especially with low-quantity samples, thus increasing the ability to confidently identify proteins with mass spectrometry data.
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Identifiers
15585819PMC2291697What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.