ReviewMass spectrometry reviews2023
Chemical isotope labeling for quantitative proteomics.
Review in Mass spectrometry reviews, 2023. 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, 47 citations in OpenAlex.
- Mass Spectrometry Proteomics: A Key to Faster Drug Discovery.Journal of medicinal chemistry · 2026Review
- Metabolic and post-translational modifications in sepsis-associated immune dysfunction: a conceptual framework.Frontiers in immunology · 2026Review
- Multiplexed Data-Independent Acquisition-Based Proteomics Enabled by TMTpro Complementary Ions.Analytical chemistry · 2025Article
- Atroposelective [4+1] annulation for the synthesis of isotopic isoindolinones bearing both central and axial chirality.Chemical science · 2025Article
- Isotope Labeling Techniques for Virus-Infected Cells.Methods in molecular biology (Clifton, N.J.) · 2025Review
- Simultaneous Protein Quantitation and Glycosylation Profiling of Antigen-Specific Immunoglobulin G1 in Large Clinical Studies.Journal of proteome research · 2024Article
- Proteomics: An Essential Tool to Study Plant-Specialized Metabolism.Biomolecules · 2024Review
- A Tutorial Review of Labeling Methods in Mass Spectrometry-Based Quantitative Proteomics.ACS measurement science au · 2024Review
- PCAS: An Integrated Tool for Multi-Dimensional Cancer Research Utilizing Clinical Proteomic Tumor Analysis Consortium Data.International journal of molecular sciences · 2024Article
- Monitoring host-pathogen interactions using chemical proteomics.RSC chemical biology · 2024Review
- Advancements in Sample Preparation Methods for the Chromatographic and Mass Spectrometric Determination of Zearalenone and Its Metabolites in Food: An Overview.Foods (Basel, Switzerland) · 2023Review
- Non-Canonical Amino Acids in Analyses of Protease Structure and Function.International journal of molecular sciences · 2023Review
- Chemical isotope labeling for quantitative proteomics.Mass spectrometry reviews · 2023Review
- Catch, Modify and Analyze: Methods of Chemoselective Modification of Cysteine-Containing Peptides.Molecules (Basel, Switzerland) · 2022Review
- Label-Free Physical Techniques and Methodologies for Proteins Detection in Microfluidic Biosensor Structures.Biomedicines · 2022Review
- On the Road to Accurate Protein Biomarkers in Prostate Cancer Diagnosis and Prognosis: Current Status and Future Advances.International journal of molecular sciences · 2021Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advancements in liquid chromatography and mass spectrometry over the last decades have led to a significant development in mass spectrometry-based proteome quantification approaches. An increasingly attractive strategy is multiplex isotope labeling, which significantly improves the accuracy, precision and throughput of quantitative proteomics in the data-dependent acquisition mode. Isotope labeling-based approaches can be classified into MS1-based and MS2-based quantification. In this review, we give an overview of approaches based on chemical isotope labeling and discuss their principles, benefits, and limitations with the goal to give insights into fundamental questions and provide a useful reference for choosing a method for quantitative proteomics. As a perspective, we discuss the current possibilities and limitations of multiplex, isotope labeling approaches for the data-independent acquisition mode, which is increasing in popularity.
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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.