ArticleJournal of proteome research2016
Data-Driven Approach To Determine Popular Proteins for Targeted Proteomics Translation of Six Organ Systems.
Article in Journal of proteome research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 47 citations in OpenAlex.
- Seeking clarity on sex differences in cardiovascular complications of Down syndrome.American journal of physiology. Heart and circulatory physiology · 2023Article
- GPR19 Coordinates Multiple Molecular Aspects of Stress Responses Associated with the Aging Process.International journal of molecular sciences · 2023Article
- Quantifying label enrichment from two mass isotopomers increases proteome coverage for in vivo protein turnover using heavy water metabolic labeling.Communications chemistry · 2023Article
- Intersection of the Orphan G Protein-Coupled Receptor, GPR19, with the Aging Process.International journal of molecular sciences · 2022Review
- Protein prediction models support widespread post-transcriptional regulation of protein abundance by interacting partners.PLoS computational biology · 2022Article
- Reflections on the HUPO Human Proteome Project, the Flagship Project of the Human Proteome Organization, at 10 Years.Molecular & cellular proteomics : MCP · 2021Article
- Genetics meets proteomics: perspectives for large population-based studies.Nature reviews. Genetics · 2021Review
- Progress on Identifying and Characterizing the Human Proteome: 2019 Metrics from the HUPO Human Proteome Project.Journal of proteome research · 2019Article
- MTGO-SC, A Tool to Explore Gene Modules in Single-Cell RNA Sequencing Data.Frontiers in genetics · 2019Article
- Progress on Identifying and Characterizing the Human Proteome: 2018 Metrics from the HUPO Human Proteome Project.Journal of proteome research · 2018Review
- A Cloud-Based Metabolite and Chemical Prioritization System for the Biology/Disease-Driven Human Proteome Project.Journal of proteome research · 2018Article
- Identifying High-Priority Proteins Across the Human Diseasome Using Semantic Similarity.Journal of proteome research · 2018Article
- Toward Completion of the Human Proteome Parts List: Progress Uncovering Proteins That Are Missing or Have Unknown Function and Developing Analytical Methods.Journal of proteome research · 2018Article
- Precision Profiling of the Cardiovascular Post-Translationally Modified Proteome: Where There Is a Will, There Is a Way.Circulation research · 2018Review
- Biomedical Informatics on the Cloud: A Treasure Hunt for Advancing Cardiovascular Medicine.Circulation research · 2018Review
- Proteomic analysis of the cardiac extracellular matrix: clinical research applications.Expert review of proteomics · 2018Review
- Gene annotation bias impedes biomedical research.Scientific reports · 2018Article
- New Strategies and Challenges in Lung Proteomics and Metabolomics. An Official American Thoracic Society Workshop Report.Annals of the American Thoracic Society · 2017Article
- Progress on the HUPO Draft Human Proteome: 2017 Metrics of the Human Proteome Project.Journal of proteome research · 2017Article
- Advances of the HUPO Human Proteome Project with broad applications for life sciences research.Expert review of proteomics · 2017Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
Abstract
Amidst the proteomes of human tissues lie subsets of proteins that are closely involved in conserved pathophysiological processes. Much of biomedical research concerns interrogating disease signature proteins and defining their roles in disease mechanisms. With advances in proteomics technologies, it is now feasible to develop targeted proteomics assays that can accurately quantify protein abundance as well as their post-translational modifications; however, with rapidly accumulating number of studies implicating proteins in diseases, current resources are insufficient to target every protein without judiciously prioritizing the proteins with high significance and impact for assay development. We describe here a data science method to prioritize and expedite assay development on high-impact proteins across research fields by leveraging the biomedical literature record to rank and normalize proteins that are popularly and preferentially published by biomedical researchers. We demonstrate this method by finding priority proteins across six major physiological systems (cardiovascular, cerebral, hepatic, renal, pulmonary, and intestinal). The described method is data-driven and builds upon the collective knowledge of previous publications referenced on PubMed to lend objectivity to target selection. The method and resulting popular protein lists may also be useful for exploring biological processes associated with various physiological systems and research topics, in addition to benefiting ongoing efforts to facilitate the broad translation of proteomics technologies.
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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.