ReviewJournal of proteome research2018
Expanding the Use of Spectral Libraries in Proteomics.
Review in Journal of proteome research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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.
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Who cites it
29 citing papers in PubMed.
- Comparative performance of Scribe and database search engines in metaproteomic profiling of a ground-truth microbiome dataset.Journal of proteomics · 2026Article
- Article
- The Proteomics Standards Initiative Standardized Formats for Spectral Libraries and Fragment Ion Peak Annotations: mzSpecLib and mzPAF.Analytical chemistry · 2024Article
- An Equine Protein Atlas Highlights Synovial Fluid Proteome Dynamics during Experimentally LPS-Induced Arthritis.Journal of proteome research · 2024Article
- Comprehensive immune cell spectral library for large-scale human primary T, B, and NK cell proteomics.Scientific data · 2024Article
- A crustacean neuropeptide spectral library for data-independent acquisition (DIA) mass spectrometry applications.Proteomics · 2024Article
- SpecEncoder: deep metric learning for accurate peptide identification in proteomics.Bioinformatics (Oxford, England) · 2024Article
- Origins, Technological Advancement, and Applications of Peptidomics.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Improving quantitation accuracy in isobaric-labeling mass spectrometry experiments with spectral library searching and feature-based peptide-spectrum match filter.Scientific reports · 2023Article
- MSBooster: improving peptide identification rates using deep learning-based features.Nature communications · 2023Article
- AIomics: Exploring More of the Proteome Using Mass Spectral Libraries Extended by Artificial Intelligence.Journal of proteome research · 2023Article
- Is DIA proteomics data FAIR? Current data sharing practices, available bioinformatics infrastructure and recommendations for the future.Proteomics · 2023Article
- Proteomics Standards Initiative at Twenty Years: Current Activities and Future Work.Journal of proteome research · 2023Review
- MS Ana: Improving Sensitivity in Peptide Identification with Spectral Library Search.Journal of proteome research · 2023Article
- Trans-Proteomic Pipeline: Robust Mass Spectrometry-Based Proteomics Data Analysis Suite.Journal of proteome research · 2023Article
- The critical role that spectral libraries play in capturing the metabolomics community knowledge.Metabolomics : Official journal of the Metabolomic Society · 2022Review
- Review
- Augmentation of MS/MS Libraries with Spectral Interpolation for Improved Identification.Journal of chemical information and modeling · 2022Article
- Review of Liquid Chromatography-Mass Spectrometry-Based Proteomic Analyses of Body Fluids to Diagnose Infectious Diseases.International journal of molecular sciences · 2022Review
- Calibr improves spectral library search for spectrum-centric analysis of data independent acquisition proteomics.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
30 authors.
Funding
Abstract
The 2017 Dagstuhl Seminar on Computational Proteomics provided an opportunity for a broad discussion on the current state and future directions of the generation and use of peptide tandem mass spectrometry spectral libraries. Their use in proteomics is growing slowly, but there are multiple challenges in the field that must be addressed to further increase the adoption of spectral libraries and related techniques. The primary bottlenecks are the paucity of high quality and comprehensive libraries and the general difficulty of adopting spectral library searching into existing workflows. There are several existing spectral library formats, but none captures a satisfactory level of metadata; therefore, a logical next improvement is to design a more advanced, Proteomics Standards Initiative-approved spectral library format that can encode all of the desired metadata. The group discussed a series of metadata requirements organized into three designations of completeness or quality, tentatively dubbed bronze, silver, and gold. The metadata can be organized at four different levels of granularity: at the collection (library) level, at the individual entry (peptide ion) level, at the peak (fragment ion) level, and at the peak annotation level. Strategies for encoding mass modifications in a consistent manner and the requirement for encoding high-quality and commonly seen but as-yet-unidentified spectra were discussed. The group also discussed related topics, including strategies for comparing two spectra, techniques for generating representative spectra for a library, approaches for selection of optimal signature ions for targeted workflows, and issues surrounding the merging of two or more libraries into one. We present here a review of this field and the challenges that the community must address in order to accelerate the adoption of spectral libraries in routine analysis of proteomics datasets.
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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.