ArticleMolecular & cellular proteomics : MCP2010
Advanced identification of proteins in uncharacterized proteomes by pulsed in vivo stable isotope labeling-based mass spectrometry.
Article in Molecular & cellular proteomics : MCP, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 47 citations in OpenAlex.
- High-throughput cryo-ET structural pattern mining by unsupervised deep iterative subtomogram clustering.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Advancements in Oncoproteomics Technologies: Treading toward Translation into Clinical Practice.Proteomes · 2023Review
- UNSUPERVISED DOMAIN ALIGNMENT BASED OPEN SET STRUCTURAL RECOGNITION OF MACROMOLECULES CAPTURED BY CRYO-ELECTRON TOMOGRAPHY.Proceedings. International Conference on Image Processing · 2021Article
- SILAC-based quantitative MS approach for real-time recording protein-mediated cell-cell interactions.Scientific reports · 2018Article
- Exploring ribosome composition and newly synthesized proteins through proteomics and potential biomedical applications.Expert review of proteomics · 2017Review
- Molecular signatures that correlate with induction of lens regeneration in newts: lessons from proteomic analysis.Human genomics · 2014Article
- Comparing SILAC- and stable isotope dimethyl-labeling approaches for quantitative proteomics.Journal of proteome research · 2014Article
- Deep proteomics of the Xenopus laevis egg using an mRNA-derived reference database.Current biology : CB · 2014Article
- Integrative "omics"-approach discovers dynamic and regulatory features of bacterial stress responses.PLoS genetics · 2013Article
- Stable isotope labeling in zebrafish allows in vivo monitoring of cardiac morphogenesis.Molecular & cellular proteomics : MCP · 2013Article
- Automated, reproducible, titania-based phosphopeptide enrichment strategy for label-free quantitative phosphoproteomics.Journal of biomolecular techniques : JBT · 2013Article
- A de novo assembly of the newt transcriptome combined with proteomic validation identifies new protein families expressed during tissue regeneration.Genome biology · 2013Article
- Stable isotope labeling with amino acids in Drosophila for quantifying proteins and modifications.Journal of proteome research · 2012Article
- Newt-omics: a comprehensive repository for omics data from the newt Notophthalmus viridescens.Nucleic acids research · 2012Article
- Quantitative label-free phosphoproteomics strategy for multifaceted experimental designs.Analytical chemistry · 2011Article
- The SILAC fly allows for accurate protein quantification in vivo.Molecular & cellular proteomics : MCP · 2010Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite progress in the characterization of their genomes, proteomes of several model organisms are often only poorly characterized. This problem is aggravated by the presence of large numbers of expressed sequence tag clones that lack homologues in other species, which makes it difficult to identify new proteins irrespective of whether such molecules are involved in species-specific biological processes. We have used a pulsed stable isotope labeling with amino acids in cell culture (SILAC)-based mass spectrometry method, which is based on the detection of paired peptides after [(13)C(6)]lysine incorporation into proteins in vivo, to greatly increase the confidence of protein identification in cross-species database searches. The method was applied to identify nearly 3000 proteins in regenerating tails of the urodele amphibian Notophthalmus viridescens, which possesses outstanding capabilities in the regeneration of complex tissues. We reason that pulsed in vivo SILAC represents a versatile tool to identify new proteins in species for which only limited sequence information exists.
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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 Socratic graph.