ReviewProteomics2016
Advances in targeted proteomics and applications to biomedical research.
Review in Proteomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 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
101 citing papers in PubMed.
- Assessment of the Therapeutic Potential of Persimmon Leaf Extract on Prediabetic Subjects.Molecules and cells · 2017Trial
- Quantitative Global Proteomics of Formalin-Fixed Paraffin-Embedded Tumors Identifies Dimethylated G3BP1 at Arginine 460 as a Robust Pharmacodynamic Biomarker of Methylthioadenosine Phosphorylase-Selective Protein Arginine Methyltransferase 5 Inhibition.Journal of proteome research · 2026Article
- Repurposing the liquid-based Pap test for the detection of ovarian cancer protein biomarkers.Clinical proteomics · 2026Article
- Key Methodologies in Characterizing the Multi-Scale Structures of Gluten Proteins in Dough: A Comparative Review.Biomolecules · 2026Review
- Proteomic atlas of human peritoneal tissue.Scientific reports · 2026Article
- Review
- Library-based virtual match-between-runs quantification in GlyPep-Quant improves site-specific glycan identification.Nature communications · 2025Article
- ProPickML: Advancing Clinical Diagnostics with Automated Peak Picking in Label-Free Targeted Proteomics.Journal of proteome research · 2025Article
- Fieldwork on animals living in extreme conditions as a source of biomedical innovation.Science in One Health · 2025Review
- Optimizing SureQuant for Targeted Peptide Quantification: a Technical Comparison with PRM and SWATH-MS Methods.Analytical chemistry · 2024Article
- Mass Spectrometry Advancements and Applications for Biomarker Discovery, Diagnostic Innovations, and Personalized Medicine.International journal of molecular sciences · 2024Review
- A comprehensive IDA and SWATH-DIA Lipidomics and Metabolomics dataset: SARS-CoV-2 case control study.Scientific data · 2024Article
- Challenges for ticks and tick-borne diseases research in Southeast Asia: Insight from the first international symposium in Cambodia.PLoS neglected tropical diseases · 2024Review
- Biomarkers in idiopathic pulmonary fibrosis: Current insight and future direction.Chinese medical journal pulmonary and critical care medicine · 2024Article
- Proteomic Insights into Osteoporosis: Unraveling Diagnostic Markers of and Therapeutic Targets for the Metabolic Bone Disease.Biomolecules · 2024Review
- A Top-Down Proteomic Assay to Evaluate KRAS4B-Compound Engagement.Analytical chemistry · 2024Article
- New advances in genomics and epigenetics in antiphospholipid syndrome.Rheumatology (Oxford, England) · 2024Review
- Alzheimer's Disease Biomarker Analysis Using Targeted Mass Spectrometry.Molecular & cellular proteomics : MCP · 2024Review
- Quantification of putative ovarian cancer serum protein biomarkers using a multiplexed targeted mass spectrometry assay.Clinical proteomics · 2024Article
- Article
41 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Targeted proteomics technique has emerged as a powerful protein quantification tool in systems biology, biomedical research, and increasing for clinical applications. The most widely used targeted proteomics approach, selected reaction monitoring (SRM), also known as multiple reaction monitoring (MRM), can be used for quantification of cellular signaling networks and preclinical verification of candidate protein biomarkers. As an extension to our previous review on advances in SRM sensitivity (Shi et al., Proteomics, 12, 1074-1092, 2012) herein we review recent advances in the method and technology for further enhancing SRM sensitivity (from 2012 to present), and highlighting its broad biomedical applications in human bodily fluids, tissue and cell lines. Furthermore, we also review two recently introduced targeted proteomics approaches, parallel reaction monitoring (PRM) and data-independent acquisition (DIA) with targeted data extraction on fast scanning high-resolution accurate-mass (HR/AM) instruments. Such HR/AM targeted quantification with monitoring all target product ions addresses SRM limitations effectively in specificity and multiplexing; whereas when compared to SRM, PRM and DIA are still in the infancy with a limited number of applications. Thus, for HR/AM targeted quantification we focus our discussion on method development, data processing and analysis, and its advantages and limitations in targeted proteomics. Finally, general perspectives on the potential of achieving both high sensitivity and high sample throughput for large-scale quantification of hundreds of target proteins are discussed.
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What OpenQuestion holds
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.