ReviewProteomics. Clinical applications2015
Clinical proteomics: promises, challenges and limitations of affinity arrays.
Review in Proteomics. Clinical applications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 32 citations in OpenAlex.
- Emerging Technologies for Exploring the Cellular Mechanisms in Vascular Diseases.International journal of molecular sciences · 2025Review
- Review
- Gut Microbiome Proteomics in Food Allergies.International journal of molecular sciences · 2023Review
- Protocol for global proteome, virome, and metaproteome profiling of respiratory specimen (VTM) in COVID-19 patient by LC-MS/MS-based analysis.STAR protocols · 2022Article
- Novel Approaches to an Integrated Route for Trisomy 21 Evaluation.Biomolecules · 2021Review
- Serum biomarker discovery related to pathogenesis in acute coronary syndrome by proteomic approach.Bioscience reports · 2021Article
- Biomarker Discovery of Acute Coronary Syndrome Using Proteomic Approach.Molecules (Basel, Switzerland) · 2021Article
- Re-Evaluating the Conventional Wisdom about Binding Assays.Trends in biochemical sciences · 2020Review
- Novel Autoantibody Signatures in Sera of Patients with Pancreatic Cancer, Chronic Pancreatitis and Autoimmune Pancreatitis: A Protein Microarray Profiling Approach.International journal of molecular sciences · 2020Article
- Precision medicine integrating whole-genome sequencing, comprehensive metabolomics, and advanced imaging.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- The nuts and bolts of omics for the clinical allergist.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2019Review
- System-based approaches as prognostic tools for glioblastoma.BMC cancer · 2019Review
- Genome, transcriptome and proteome: the rise of omics data and their integration in biomedical sciences.Briefings in bioinformatics · 2018Review
- The implementation of omics technologies in cancer microbiome research.Ecancermedicalscience · 2018Review
- Omics-Based Strategies in Precision Medicine: Toward a Paradigm Shift in Inborn Errors of Metabolism Investigations.International journal of molecular sciences · 2016Review
- Protein Profiling Gastric Cancer and Neighboring Control Tissues Using High-Content Antibody Microarrays.Microarrays (Basel, Switzerland) · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
After the establishment of DNA/RNA sequencing as a means of clinical diagnosis, the analysis of the proteome is next in line. As a matter of fact, proteome-based diagnostics is bound to be even more informative, since proteins are directly involved in the actual cellular processes that are responsible for disease. However, the structural variation and the biochemical differences between proteins, the much wider range in concentration and their spatial distribution as well as the fact that protein activity frequently relies on interaction increase the methodological complexity enormously, particularly if an accuracy and robustness is required that is sufficient for clinical utility. Here, we discuss the contribution that protein microarray formats could play towards proteome-based diagnostics.
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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.