Evidence map›Paper›PMID 25675208›Full record

ArticleNature protocols2015

Building high-quality assay libraries for targeted analysis of SWATH MS data.

Olga T Schubert, Ludovic C Gillet, Ben C Collins, Pedro Navarro, George Rosenberger, Witold E Wolski, Henry Lam, Dario Amodei, Parag Mallick, Brendan MacLean and 1 more

Open access · greenAbstract read
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In one paragraph

Article in Nature protocols, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 161 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
161citing papers in PubMed, 1 pooled it
21.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

161 citing papers in PubMed, 1 synthesis or guideline pooled it, 330 citations in OpenAlex.

  1. Pooled it
  2. Molecular & cellular proteomics : MCP · 2018
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101 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 7 institutions in 4 countries.

Olga T Schubert1] Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland. [2] PhD Program in Systems Biology, University of Zurich and ETH Zurich, Zurich, Switzerland.
Ludovic C GilletDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
Ben C CollinsDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
Pedro NavarroInstitute for Immunology, University Medical Center of the Johannes-Gutenberg University Mainz, Mainz, Germany.
George Rosenberger1] Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland. [2] PhD Program in Systems Biology, University of Zurich and ETH Zurich, Zurich, Switzerland.
Witold E Wolski1] Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland. [2] SystemsX.ch Biology IT (SyBIT), SystemsX.ch, Zurich, Switzerland.
Henry LamDivision of Biomedical Engineering and Department of Chemical and Biomolecular Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China.
Dario AmodeiDepartment of Radiology, Stanford University School of Medicine, Stanford, California, USA.
Parag MallickDepartment of Radiology, Stanford University School of Medicine, Stanford, California, USA.
Brendan MacLeanDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
Ruedi Aebersold1] Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland. [2] Faculty of Science, University of Zurich, Zurich, Switzerland.
ETH Zurich · CHStanford University · USHong Kong University of Science and Technology · HKJohannes Gutenberg University Mainz · DESystemsX.ch · CHUniversity of Washington · USUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted proteomics by selected/multiple reaction monitoring (S/MRM) or, on a larger scale, by SWATH (sequential window acquisition of all theoretical spectra) MS (mass spectrometry) typically relies on spectral reference libraries for peptide identification. Quality and coverage of these libraries are therefore of crucial importance for the performance of the methods. Here we present a detailed protocol that has been successfully used to build high-quality, extensive reference libraries supporting targeted proteomics by SWATH MS. We describe each step of the process, including data acquisition by discovery proteomics, assertion of peptide-spectrum matches (PSMs), generation of consensus spectra and compilation of MS coordinates that uniquely define each targeted peptide. Crucial steps such as false discovery rate (FDR) control, retention time normalization and handling of post-translationally modified peptides are detailed. Finally, we show how to use the library to extract SWATH data with the open-source software Skyline. The protocol takes 2-3 d to complete, depending on the extent of the library and the computational resources available.

Indexed as

Peptide LibraryCombinatorial Chemistry TechniquesProteomicsTandem Mass SpectrometryPeptide Library

Identifiers

PMID25675208
OpenAlexW1963898428

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.