ArticleProteomics2017
New targeted approaches for the quantification of data-independent acquisition mass spectrometry.
Article in Proteomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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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Who cites it
22 citing papers in PubMed.
- 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
- Monoallelic mutations in MMD2 cause autosomal dominant aggressive periodontitis.The Journal of experimental medicine · 2025Article
- Astroglial modulation of synaptic function in the non-demyelinated cerebellar cortex is dependent on MyD88 signaling in a model of toxic demyelination.Journal of neuroinflammation · 2025Article
- diaTracer enables spectrum-centric analysis of diaPASEF proteomics data.Nature communications · 2025Article
- diaTracer enables spectrum-centric analysis of diaPASEF proteomics data.bioRxiv : the preprint server for biology · 2024Article
- Tumor specimen cold ischemia time impacts molecular cancer drug target discovery.Cell death & disease · 2024Article
- Veneer Is a Webtool for Rapid, Standardized, and Transparent Interpretation, Annotation, and Reporting of Mammalian Cell SurfaceJournal of proteome research · 2024Article
- Proteomics of prostate cancer serum and plasma using low and high throughput approaches.Clinical proteomics · 2024Article
- Genomic and transcriptomic profiling of hepatocellular carcinoma reveals a rare molecular subtype.Discover oncology · 2024Article
- Proteome profiling of cerebrospinal fluid reveals biomarker candidates for Parkinson's disease.Cell reports. Medicine · 2022Article
- A new mass spectral library for high-coverage and reproducible analysis of the Plasmodium falciparum-infected red blood cell proteome.GigaScience · 2022Article
- Transcriptomic and proteomic profiling of NaFrontiers in molecular neuroscience · 2022Article
- Proteome and Network Analysis Provides Novel Insights Into Developing and Established Chemotherapy-Induced Peripheral Neuropathy.Frontiers in pharmacology · 2022Article
- Challenges and Opportunities in Clinical Applications of Blood-Based Proteomics in Cancer.Cancers · 2020Review
- High-throughput quantitative top-down proteomics.Molecular omics · 2020Review
- Reproducibility, Specificity and Accuracy of Relative Quantification Using Spectral Library-based Data-independent Acquisition.Molecular & cellular proteomics : MCP · 2020Article
- Data-independent Acquisition Improves Quantitative Cross-linking Mass Spectrometry.Molecular & cellular proteomics : MCP · 2019Article
- Data-Independent Acquisition Mass Spectrometry To Quantify Protein Levels in FFPE Tumor Biopsies for Molecular Diagnostics.Journal of proteome research · 2019Article
- Joint Precursor Elution Profile Inference via Regression for Peptide Detection in Data-Independent Acquisition Mass Spectra.Journal of proteome research · 2019Article
- Development of a Gill Assay Library for Ecological Proteomics of Threespine Sticklebacks (Molecular & cellular proteomics : MCP · 2018Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
The use of data-independent acquisition (DIA) approaches for the reproducible and precise quantification of complex protein samples has increased in the last years. The protein information arising from DIA analysis is stored in digital protein maps (DIA maps) that can be interrogated in a targeted way by using ad hoc or publically available peptide spectral libraries generated on the same sample species as for the generation of the DIA maps. The restricted availability of certain difficult-to-obtain human tissues (i.e., brain) together with the caveats of using spectral libraries generated under variable experimental conditions limits the potential of DIA. Therefore, DIA workflows would benefit from high-quality and extended spectral libraries that could be generated without the need of using valuable samples for library production. We describe here two new targeted approaches, using either classical data-dependent acquisition repositories (not specifically built for DIA) or ad hoc mouse spectral libraries, which enable the profiling of human brain DIA data set. The comparison of our results to both the most extended publically available human spectral library and to a state-of-the-art untargeted method supports the use of these new strategies to improve future DIA profiling efforts.
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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.