ArticleScientific data2019
Generation of a zebrafish SWATH-MS spectral library to quantify 10,000 proteins.
Article in Scientific data, 2019. 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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22 citing papers in PubMed, 47 citations in OpenAlex.
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- Comprehensive Mass Spectral Libraries of Human Thyroid Tissues and Cells.Scientific data · 2024Article
- A comprehensive spectral assay library to quantify the Halobacterium salinarum NRC-1 proteome by DIA/SWATH-MS.Scientific data · 2023Article
- DPHL v.2: An updated and comprehensive DIA pan-human assay library for quantifying more than 14,000 proteins.Patterns (New York, N.Y.) · 2023Article
- Generalized precursor prediction boosts identification rates and accuracy in mass spectrometry based proteomics.Communications biology · 2023Article
- Baseline proteomics characterisation of the emerging host biomanufacturing organism Halomonas bluephagenesis.Scientific data · 2022Article
- Stratification of follicular thyroid tumours using data-independent acquisition proteomics and a comprehensive thyroid tissue spectral library.Molecular oncology · 2022Article
- A new mass spectral library for high-coverage and reproducible analysis of the Plasmodium falciparum-infected red blood cell proteome.GigaScience · 2022Article
- Data-Independent Acquisition Enables Robust Quantification of 400 Proteins in Non-Depleted Canine Plasma.Proteomes · 2022Article
- Generation of a mouse SWATH-MS spectral library to quantify 10148 proteins involved in cell reprogramming.Scientific data · 2021Article
- High-pH reversed-phase fractionated neural retina proteome of normal growing C57BL/6 mouse.Scientific data · 2021Article
- Hmx3a Has Essential Functions in Zebrafish Spinal Cord, Ear and Lateral Line Development.Genetics · 2020Article
- A comprehensive spectral assay library to quantify the Escherichia coli proteome by DIA/SWATH-MS.Scientific data · 2020Article
- Probing SWATH-MS as a tool for proteome level quantification in a nonmodel fish.Molecular ecology resources · 2020Article
- A comprehensive CHO SWATH-MS spectral library for robust quantitative profiling of 10,000 proteins.Scientific data · 2020Article
- Complex-centric proteome profiling by SEC-SWATH-MS for the parallel detection of hundreds of protein complexes.Nature protocols · 2020Article
- A mouse SWATH-mass spectrometry reference spectral library enables deconvolution of species-specific proteomic alterations in human tumour xenografts.Disease models & mechanisms · 2020Article
- Cancer neoantigen prioritization through sensitive and reliable proteogenomics analysis.Nature communications · 2020Article
- Generation of a murine SWATH-MS spectral library to quantify more than 11,000 proteins.Scientific data · 2020Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sequential window acquisition of all theoretical mass spectra (SWATH-MS) requires a spectral library to extract quantitative measurements from the mass spectrometry data acquired in data-independent acquisition mode (DIA). Large combined spectral libraries containing SWATH assays have been generated for humans and several other organisms, but so far no publicly available library exists for measuring the proteome of zebrafish, a rapidly emerging model system in biomedical research. Here, we present a large zebrafish SWATH spectral library to measure the abundance of 104,185 proteotypic peptides from 10,405 proteins. The library includes proteins expressed in 9 different zebrafish tissues (brain, eye, heart, intestine, liver, muscle, ovary, spleen, and testis) and provides an important new resource to quantify 40% of the protein-coding zebrafish genes. We employ this resource to quantify the proteome across brain, muscle, and liver and characterize divergent expression levels of paralogous proteins in different tissues. Data are available via ProteomeXchange (PXD010876, PXD010869) and SWATHAtlas (PASS01237).
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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.