ReviewDrug discovery today. Technologies2021
Data-independent acquisition (DIA): An emerging proteomics technology for analysis of drug-metabolizing enzymes and transporters.
Review in Drug discovery today. Technologies, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
69 citing papers in PubMed.
- Implementation of Nonisobaric TMT Analogs for Accurate Precursor-Level Quantification by plexDIA.Rapid communications in mass spectrometry : RCM · 2026Article
- Direct Quantification of Complement Biomarkers Using Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS).ACS pharmacology & translational science · 2026Article
- RAB1A is a novel vulnerability in uveal melanoma revealed by dual inhibition of MNK1/2 and mTOR.Cell death and differentiation · 2026Article
- Proteomic Profiling of Endothelial Cells Under Laminar Shear Stress Confirms the Importance of KLF4 in the Regulation of Membrane Protein Expression Compared to Oscillatory Flow.Journal of proteome research · 2026Article
- PhosSight: A Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Crowdsourcing and machine learning contests in Parkinson's disease research - when do they work?Journal of Parkinson's disease · 2026Review
- A One Health Framework for Proteomics Across the Tree of Life to Advance Food Security, Animal Health, and Ecosystem Resilience.Proteomes · 2026Review
- DIA-based proteomic analysis reveals Scutellaria barbata D. Don Exosome-like nanovesicles promote ferroptosis in HCC through Nrf2/SLC7A11/GPX4 pathway.Functional & integrative genomics · 2026Article
- Quantitative Proteomic Profiling of Pinctada fucata Shell Nacre Defines a Solubility-Based Type Classification of Shell Matrix Proteins.Marine biotechnology (New York, N.Y.) · 2026Article
- Plasma extracellular vesicle proteomics nominates candidate biomarkers ofCell reports. Medicine · 2026Article
- Harnessing Proteogenomics to Advance Precision Oncology: From Melanoma and Hepatocellular Carcinoma Perspective.Current oncology reports · 2026Review
- Characterization of RcgA and RcgR, two rhizobial proteins involved in the modulation of plasmid transfer.Microbiology spectrum · 2026Article
- The XylC-mediated aromatic metabolic network modulates the metabolic response of Pseudomonas aeruginosa to deltamethrin.BMC microbiology · 2026Article
- Comparative Proteomic Profiling of ClinicalJournal of extracellular biology · 2026Article
- Label-Free Target Discovery Strategy for Natural Active Products.Biomolecules · 2026Review
- Advancing Extracellular Vesicle Research: A Review of Systems Biology and Multiomics Perspectives.Proteomics · 2026Review
- Data-Independent Acquisition Enhancement of a Competitive Activity-Based Protein Profiling Platform for Kinase Inhibitor Screening.Journal of mass spectrometry : JMS · 2026Article
- Decoding Plant Immunity: Proteomics as a Biotechnological Tool for Crop Improvement.Advances in experimental medicine and biology · 2026Review
- Combined machine learning identification and experimental validation of NDUFS8 and SUCLG1 as potential biomarkers for mechanical asphyxia.Frontiers in medicine · 2026Article
- Integrating endogenous TurboID and data-independent acquisition mass spectrometry for in vivo proximity labeling.The EMBO journal · 2026Article
9 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
3 authors.
Funding
Abstract
Data-independent acquisition (DIA) proteomics is a recently-developed global mass spectrometry (MS)-based proteomics strategy. In a DIA method, precursor ions are isolated into pre-defined isolation windows and fragmented; all fragmented ions in each window are then analyzed by a high-resolution mass spectrometer. DIA proteomics analysis is characterized by a broad protein coverage, high reproducibility, and accuracy, and its combination with advances in other techniques such as sample preparation and computational data analysis could lead to further improvements in assay performances. DIA technology has been increasingly utilized in various proteomics studies, including quantifying drug-metabolizing enzymes and transporters. Quantitative proteomics study of drug-metabolizing enzymes and transporters could lead to a better understanding of pharmacokinetics and pharmacodynamics and facilitate drug development. This review summarizes the application of DIA technology in proteomic analysis of drug-metabolizing enzymes and transporters.
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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.