ArticleJournal of proteome research2013
Improved detection of quantitative differences using a combination of spectral counting and MS/MS total ion current.
Article in Journal of proteome research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Morquio A Syndrome: Identification of Differential Patterns of Molecular Pathway Interactions in Bone Lesions.International journal of molecular sciences · 2024Article
- Early phosphoproteomic changes for adverse outcome pathway development in the fathead minnow (Pimephales promelas) brain.Scientific reports · 2018Article
- Mass Spectrometry-Based Metabolomic and Proteomic Strategies in Organic Acidemias.BioMed research international · 2016Review
- A Survey of the Impact of Deyolking on Biological Processes Covered by Shotgun Proteomic Analyses of Zebrafish Embryos.Zebrafish · 2015Article
- Proteome Characterization of Leaves in Common Bean.Proteomes · 2015Article
- Label-free quantitative proteomics and N-terminal analysis of human metastatic lung cancer cells.Molecules and cells · 2014Article
- Article
- Proteomic profiling and pathway analysis of the response of rat renal proximal convoluted tubules to metabolic acidosis.American journal of physiology. Renal physiology · 2013Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Label-free quantitative strategies are commonly used in shotgun proteomics to detect differences in protein abundance between biological sample groups. Here, we have employed a combination of two such approaches, spectral counting (SpC) and average MS/MS total ion current (MS(2) TIC), for the analysis of rat kidney mitochondria in response to metabolic acidosis. In total, 49 proteins were observed to be significantly altered in response to metabolic acidosis (p-value < 0.05). Of these, 32 proteins were uniquely observed as significantly different by SpC, 14 by MS(2) TIC, and only 3 by both approaches. Western blot analysis was performed on a subset of these proteins to validate the observed abundance differences. This study illustrates the utility and ease of combining these two label-free quantitative approaches to increase the number of detected protein abundance differences in the shotgun analysis of complex biological samples.
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