ReviewMolecular & cellular proteomics : MCP2021
An Introduction to Advanced Targeted Acquisition Methods.
Review in Molecular & cellular proteomics : MCP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
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Who cites it
58 citing papers in PubMed.
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- A porcine spectral assay library to quantify brain proteome by DIA-MS.Scientific data · 2026Article
- Deep Proteomic Analysis With Machine Learning Identifies Aqueous Humor Biomarkers of ADAMTSL4-associated Congenital Ectopia Lentis.Investigative ophthalmology & visual science · 2026Article
- Multidimensional proteomics and explainable AI feature selection identify cross-platform lung cancer molecular signature in blood plasma.Communications medicine · 2026Article
- Direct Comparison of MRM-MS and PRM-MS Methods for Quantitative Ganglioside Analysis.Journal of the American Society for Mass Spectrometry · 2026Article
- Prioritizing peptides for targeted mass spectrometry experiments using deep learning.bioRxiv : the preprint server for biology · 2026Article
- Inherent MS-cleavability of diazirine photo-cross-links enables residue-level structural analysis.Nature communications · 2026Article
- Clinical peptidomics for respiratory diseases: matrices, workflows, and translation towards treatable traits, with a focus on COPD.Clinical proteomics · 2026Review
- Advances in Mass Spectrometry Instrumentation and Methodology for Analysis of Alternative Protein Isoforms.Journal of mass spectrometry : JMS · 2026Review
- High-resolution sphingolipid analysis in vitro using LC-qToF MS.Methods in enzymology · 2026Article
- Heat-shock pathway activation by TRC051384 protects spiral ganglion neurons from noise-induced hearing loss.bioRxiv : the preprint server for biology · 2025Article
- Integrative mass spectrometry-driven multi-omics and single cell technologies in ankylosing spondylitis: insights into pathogenesis, biomarker discovery, and precision medicine.Journal of translational autoimmunity · 2025Review
- Article
- Development and Clinical Evaluation of a Multiplexed Health Surveillance Panel Using Ultra High-Throughput PRM-MS in an Inflammatory Bowel Disease Cohort.Angewandte Chemie (International ed. in English) · 2025Article
- Integrating multi-omics and machine learning strategies to explore the "gene-protein-metabolite" network in ischemic heart failure with Qi deficiency and blood stasis syndrome.Chinese medicine · 2025Article
- Engineered Proteins and Chemical Tools to Probe the Cell Surface Proteome.Chemical reviews · 2025Review
- Quantification of Peptides in Food Hydrolysate fromFoods (Basel, Switzerland) · 2025Article
- In-depth profile of biosignatures for T2DM cohort utilizing an integrated targeted LC-MS platform.Scientific data · 2025Article
- A novel MRI contrast agent NaGdFScientific reports · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
Targeted proteomics via selected reaction monitoring (SRM) or parallel reaction monitoring (PRM) enables fast and sensitive detection of a preselected set of target peptides. However, the number of peptides that can be monitored in conventional targeting methods is usually rather small. Recently, a series of methods has been described that employ intelligent acquisition strategies to increase the efficiency of mass spectrometers to detect target peptides. These methods are based on one of two strategies. First, retention time adjustment-based methods enable intelligent scheduling of target peptide retention times. These include Picky, iRT, as well as spike-in free real-time adjustment methods such as MaxQuant.Live. Second, in spike-in triggered acquisition methods such as SureQuant, Pseudo-PRM, TOMAHAQ, and Scout-MRM, targeted scans are initiated by abundant labeled synthetic peptides added to samples before the run. Both strategies enable the mass spectrometer to better focus data acquisition time on target peptides. This either enables more sensitive detection or a higher number of targets per run. Here, we provide an overview of available advanced targeting methods and highlight their intrinsic strengths and weaknesses and compatibility with specific experimental setups. Our goal is to provide a basic introduction to advanced targeting methods for people starting to work in this field.
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