Evidence map›Paper›PMID 26199342›Full record

ArticleMolecular & cellular proteomics : MCP2015

Identification of a Set of Conserved Eukaryotic Internal Retention Time Standards for Data-independent Acquisition Mass Spectrometry.

Sarah J Parker, Hannes Rost, George Rosenberger, Ben C Collins, Lars Malmström, Dario Amodei, Vidya Venkatraman, Koen Raedschelders, Jennifer E Van Eyk, Ruedi Aebersold

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
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

40 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. CircadianZoological research · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Proteomics of the heart.Physiological reviews · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Surveying the Vampire Bat (Journal of proteome research · 2021
    Article
  18. Article
  19. SWATH-MS Protocols in Human Diseases.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  20. Article
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

10 authors.

Sarah J Parker‡‡Advanced Clinical Biosystems Research Institute, The Heart Institute, and Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California;
Hannes Rost§Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland; ¶PhD Program in Systems Biology, University of Zurich and ETH Zurich, Zurich, Switzerland;
George Rosenberger§Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland; ¶PhD Program in Systems Biology, University of Zurich and ETH Zurich, Zurich, Switzerland;
Ben C Collins§Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland;
Lars Malmström‖S3IT, University of Zurich;
Dario Amodei**Stanford University;
Vidya Venkatraman‡‡Advanced Clinical Biosystems Research Institute, The Heart Institute, and Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California;
Koen Raedschelders‡‡Advanced Clinical Biosystems Research Institute, The Heart Institute, and Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California;
Jennifer E Van EykFrom the ‡Department of Medicine, Johns Hopkins University, Baltimore Maryland; ‡‡Advanced Clinical Biosystems Research Institute, The Heart Institute, and Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California;
Ruedi Aebersold§Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland; §§Faculty of Science, University of Zurich, Zurich, Switzerland aebersold@imsb.biol.ethz.ch.

Funding

MOLECULAR BIOLOGY OF THE MARFAN SYNDROMER01AR041135 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI DIETZ, HARRY C., III · 1992 to 2016
$5.2M
European Research Council 233226NHLBI NIH HHS HHSN268201000032CNIAMS NIH HHS R01 AR041135NIAMS NIH HHS R01 AR41135-18
6 · The paper itself

Abstract

Accurate knowledge of retention time (RT) in liquid chromatography-based mass spectrometry data facilitates peptide identification, quantification, and multiplexing in targeted and discovery-based workflows. Retention time prediction is particularly important for peptide analysis in emerging data-independent acquisition (DIA) experiments such as SWATH-MS. The indexed RT approach, iRT, uses synthetic spiked-in peptide standards (SiRT) to set RT to a unit-less scale, allowing for normalization of peptide RT between different samples and chromatographic set-ups. The obligatory use of SiRTs can be costly and complicates comparisons and data integration if standards are not included in every sample. Reliance on SiRTs also prevents the inclusion of archived mass spectrometry data for generation of the peptide assay libraries central to targeted DIA-MS data analysis. We have identified a set of peptide sequences that are conserved across most eukaryotic species, termed Common internal Retention Time standards (CiRT). In a series of tests to support the appropriateness of the CiRT-based method, we show: (1) the CiRT peptides normalized RT in human, yeast, and mouse cell lysate derived peptide assay libraries and enabled merging of archived libraries for expanded DIA-MS quantitative applications; (2) CiRTs predicted RT in SWATH-MS data within a 2-min margin of error for the majority of peptides; and (3) normalization of RT using the CiRT peptides enabled the accurate SWATH-MS-based quantification of 340 synthetic isotopically labeled peptides that were spiked into either human or yeast cell lysate. To automate and facilitate the use of these CiRT peptide lists or other custom user-defined internal RT reference peptides in DIA workflows, an algorithm was designed to automatically select a high-quality subset of datapoints for robust linear alignment of RT for use. Implementations of this algorithm are available for the OpenSWATH and Skyline platforms. Thus, CiRT peptides can be used alone or as a complement to SiRTs for RT normalization across peptide spectral libraries and in quantitative DIA-MS studies.

Indexed as

AnimalsCell LineChromatography, LiquidHEK293 CellsHumansMass SpectrometryMicePeptide LibraryPeptidesProteomicsTime FactorsYeastsPeptide LibraryPeptides

Identifiers

PMID26199342
PMCPMC4597153

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.