ArticleMolecular & cellular proteomics : MCP2012
Protein turnover quantification in a multilabeling approach: from data calculation to evaluation.
Article in Molecular & cellular proteomics : MCP, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 18 citations in OpenAlex.
- Proteome Turnover Analysis in Haloferax volcanii by a Heavy Isotope Multilabeling Approach.Methods in molecular biology (Clifton, N.J.) · 2022Article
- The CatSper channel controls chemosensation in sea urchin sperm.The EMBO journal · 2015Article
- Proteins with high turnover rate in barley leaves estimated by proteome analysis combined with in planta isotope labeling.Plant physiology · 2014Article
- Using the ubiquitin-modified proteome to monitor protein homeostasis function.Molecular & cellular proteomics : MCP · 2013Article
- Proteome turnover in bacteria: current status for Corynebacterium glutamicum and related bacteria.Microbial biotechnology · 2013Review
- Article
- Proteome dynamics: revisiting turnover with a global perspective.Molecular & cellular proteomics : MCP · 2012Review
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Liquid chromatography coupled to tandem mass spectrometry in combination with stable-isotope labeling is an established and widely spread method to measure gene expression on the protein level. However, it is often not considered that two opposing processes are responsible for the amount of a protein in a cell--the synthesis as well as the degradation. With this work, we provide an integrative, high-throughput method--from the experimental setup to the bioinformatics analysis--to measure synthesis and degradation rates of an organism's proteome. Applicability of the approach is demonstrated with an investigation of heat shock response, a well-understood regulatory mechanism in bacteria, on the biotechnologically relevant Corynebacterium glutamicum. Utilizing a multilabeling approach using both heavy stable nitrogen as well as carbon isotopes cells are metabolically labeled in a pulse-chase experiment to trace the labels' incorporation in newly synthesized proteins and its loss during protein degradation. Our work aims not only at the calculation of protein turnover rates but also at their statistical evaluation, including variance and hierarchical cluster analysis using the rich internet application QuPE.
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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.