ArticleNature methods2010
Super-SILAC mix for quantitative proteomics of human tumor tissue.
Article in Nature methods, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01619514 (Uncovering Potential Breast Cancer Biomarkers Amp; Possible Drug Targets Using Advanced Quantitative Mass Spectrometry), which is not on this map. Cited by 216 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Uncovering Potential Breast Cancer Biomarkers Amp; Possible Drug Targets Using Advanced Quantitative Mass Spectrometry
Who cites it
216 citing papers in PubMed, 538 citations in OpenAlex.
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- Optimized and Robust Workflow for Quantifying the Canonical Histone Ubiquitination Marks H2AK119ub and H2BK120ub by LC-MS/MS.Journal of proteome research · 2024Article
- Combining Data Independent Acquisition With Spike-In SILAC (DIA-SiS) Improves Proteome Coverage and Quantification.Molecular & cellular proteomics : MCP · 2024Article
- An optimized and robust workflow for quantifying the canonical histone ubiquitination marks H2AK119ub and H2BK120ub by LC-MS/MS.bioRxiv : the preprint server for biology · 2024Article
- Progression of monoclonal gammopathy of undetermined significance to multiple myeloma is associated with enhanced translational quality control and overall loss of surface antigens.Journal of translational medicine · 2024Article
- SILAC-based quantification reveals modulation of the immunopeptidome in BRAF and MEK inhibitor sensitive and resistant melanoma cells.Frontiers in immunology · 2024Article
- Robust dimethyl-based multiplex-DIA doubles single-cell proteome depth via a reference channel.Molecular systems biology · 2023Article
- Deciphering the Properties and Functions of Glycoproteins Using Quantitative Proteomics.Journal of proteome research · 2023Review
- Mass Spectrometry Contribution to Pediatric Cancers Research.Medicina (Kaunas, Lithuania) · 2023Review
- Nitrogen atom insertion into indenes to access isoquinolines.Chemical science · 2023Article
- Recent advances in mass spectrometry analysis of neuropeptides.Mass spectrometry reviews · 2023Review
- Advancements in Oncoproteomics Technologies: Treading toward Translation into Clinical Practice.Proteomes · 2023Review
- Evaluation of Quantification and Normalization Strategies for Phosphoprotein Phosphatase Affinity Proteomics: Application to Breast Cancer Signaling.Journal of proteome research · 2023Article
- Mitochondrial Aconitase ACO2 Links Iron Homeostasis with Tumorigenicity in Non-Small Cell Lung Cancer.Molecular cancer research : MCR · 2023Article
- Analysis of proteome adaptation reveals a key role of the bacterial envelope in starvation survival.Molecular systems biology · 2022Article
- Radiation-Induced Intestinal Normal Tissue Toxicity: Implications for Altered Proteome Profile.Genes · 2022Review
- Advances in stable isotope labeling: dynamic labeling for spatial and temporal proteomic analysis.Molecular omics · 2022Review
156 more citing papers are in PubMed but not listed here.
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We describe a method to accurately quantify human tumor proteomes by combining a mixture of five stable-isotope labeling by amino acids in cell culture (SILAC)-labeled cell lines with human carcinoma tissue. This generated hundreds of thousands of isotopically labeled peptides in appropriate amounts to serve as internal standards for mass spectrometry-based analysis. By decoupling the labeling from the measurement, this super-SILAC method broadens the scope of SILAC-based proteomics.
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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.