ReviewMass spectrometry reviews2019
MS1 ion current-based quantitative proteomics: A promising solution for reliable analysis of large biological cohorts.
Review in Mass spectrometry reviews, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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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.
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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
20 citing papers in PubMed, 48 citations in OpenAlex.
- Development of a thiol-ene microfluidic chip for CE-MS of peptides and proteins.Analytical and bioanalytical chemistry · 2026Article
- Article
- Persistent Fibrosis and Left Ventricular Chamber Stiffening Despite Cessation of Repetitive Pressure Overload in Swine.JACC. Basic to translational science · 2025Article
- Plasma proteomic analysis reveals key pathways associated with divergent residual body weight gain phenotype in beef steers.Frontiers in veterinary science · 2024Article
- DiLeu Isobaric Labeling Coupled with Limited Proteolysis Mass Spectrometry for High-Throughput Profiling of Protein Structural Changes in Alzheimer's Disease.Analytical chemistry · 2023Article
- High-quality and robust protein quantification in large clinical/pharmaceutical cohorts with IonStar proteomics investigation.Nature protocols · 2023Review
- MS-DAP Platform for Downstream Data Analysis of Label-Free Proteomics Uncovers Optimal Workflows in Benchmark Data Sets and Increased Sensitivity in Analysis of Alzheimer's Biomarker Data.Journal of proteome research · 2023Article
- MS1Connect: a mass spectrometry run similarity measure.Bioinformatics (Oxford, England) · 2023Article
- Comparative Proteomics Analysis between Maize and Sorghum Uncovers Important Proteins and Metabolic Pathways Mediating Drought Tolerance.Life (Basel, Switzerland) · 2023Article
- Deep Learning Based MS2 Feature Detection for Data-Independent Shotgun Proteomics.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2022Article
- Proteogenomics and Differential Ion Mobility Enable the Exploration of the Mutational Landscape in Colon Cancer Cells.Analytical chemistry · 2022Article
- Comparative Proteomic Analysis of Drug Trichosanthin Addition to BeWo Cell Line.Molecules (Basel, Switzerland) · 2022Article
- IceR improves proteome coverage and data completeness in global and single-cell proteomics.Nature communications · 2021Article
- Comparative Evaluation of MaxQuant and Proteome Discoverer MS1-Based Protein Quantification Tools.Journal of proteome research · 2021Article
- Parallel, High-Quality Proteomic and Targeted Metabolomic Quantification Using Laser Capture Microdissected Tissues.Analytical chemistry · 2021Article
- Ultra-High-Resolution IonStar Strategy Enhancing Accuracy and Precision of MS1-Based Proteomics and an Extensive Comparison with State-of-the-Art SWATH-MS in Large-Cohort Quantification.Analytical chemistry · 2021Article
- Mining for Peaks in LC-HRMS Datasets Using Finnee - A Case Study with Exhaled Breath Condensates from Healthy, Asthmatic, and COPD Patients.ACS omega · 2020Article
- Defeating the trypanosomatid trio: proteomics of the protozoan parasites causing neglected tropical diseases.RSC medicinal chemistry · 2020Review
- Identification of Low-Abundance Lipid Droplet Proteins in Seeds and Seedlings.Plant physiology · 2020Article
- Analysis of the Barley Malt Rootlet Proteome.International journal of molecular sciences · 2019Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapidly-advancing field of pharmaceutical and clinical research calls for systematic, molecular-level characterization of complex biological systems. To this end, quantitative proteomics represents a powerful tool but an optimal solution for reliable large-cohort proteomics analysis, as frequently involved in pharmaceutical/clinical investigations, is urgently needed. Large-cohort analysis remains challenging owing to the deteriorating quantitative quality and snowballing missing data and false-positive discovery of altered proteins when sample size increases. MS1 ion current-based methods, which have become an important class of label-free quantification techniques during the past decade, show considerable potential to achieve reproducible protein measurements in large cohorts with high quantitative accuracy/precision. Nonetheless, in order to fully unleash this potential, several critical prerequisites should be met. Here we provide an overview of the rationale of MS1-based strategies and then important considerations for experimental and data processing techniques, with the emphasis on (i) efficient and reproducible sample preparation and LC separation; (ii) sensitive, selective and high-resolution MS detection; iii)accurate chromatographic alignment; (iv) sensitive and selective generation of quantitative features; and (v) optimal post-feature-generation data quality control. Prominent technical developments in these aspects are discussed. Finally, we reviewed applications of MS1-based strategy in disease mechanism studies, biomarker discovery, and pharmaceutical investigations.
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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.