ArticleMethods (San Diego, Calif.)2015
Mass spectrometry based proteomics for absolute quantification of proteins from tumor cells.
Article in Methods (San Diego, Calif.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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Who cites it
8 citing papers in PubMed, 22 citations in OpenAlex.
- Association between plasma proteomic dynamic changes and metabolic outcomes in patients undergoing bariatric surgery.International journal of obesity (2005) · 2025Article
- Simultaneous targeted and discovery-driven clinical proteotyping using hybrid-PRM/DIA.Clinical proteomics · 2024Article
- Protein citrullination as a source of cancer neoantigens.Journal for immunotherapy of cancer · 2021Article
- The Relevance of Mass Spectrometry Analysis for Personalized Medicine through Its Successful Application in Cancer "Omics".International journal of molecular sciences · 2019Review
- Proteomic analysis of the cardiac extracellular matrix: clinical research applications.Expert review of proteomics · 2018Review
- Aptamer-Based Proteomic Profiling Reveals Novel Candidate Biomarkers and Pathways in Cardiovascular Disease.Circulation · 2016Article
- Personalized Proteomics: The Future of Precision Medicine.Proteomes · 2016Article
- Quantitative proteomic analysis identifies new effectors of FOXM1 involved in breast cancer cell migration.International journal of clinical and experimental pathology · 2015Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
In-depth quantitative profiling of the proteome and sub-proteomes of tumor cells has relevance to tumor classification, the development of novel therapeutics, and of prognostic and predictive markers and to disease monitoring. In particular the tumor cell surface represents a highly relevant compartment for the development of targeted therapeutics and immunotherapy. We have developed a proteomic platform to profile tumor cells that encompasses enrichment of surface membrane proteins, intact protein fractionation and label-free mass spectrometry based absolute quantification. Here we describe the methodology for capture, identification and quantification of cell surface proteins using biotinylation for labeling of the cell surface, avidin for capture of biotinylated proteins and ion mobility mass spectrometry for protein identification and quantification.
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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.