Evidence map›Paper›PMID 33184295›Full record

ArticleScientific data2020

A comprehensive spectral assay library to quantify the Escherichia coli proteome by DIA/SWATH-MS.

Mukul K Midha, Ulrike Kusebauch, David Shteynberg, Charu Kapil, Samuel L Bader, Panga Jaipal Reddy, David S Campbell, Nitin S Baliga, Robert L Moritz

Abstract readDataset
In one paragraph

Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Dear-OMG: An Omics-General Compression Method for Genomics, Proteomics and Metabolomics Data.Interdisciplinary sciences, computational life sciences · 2026
    Article
  3. Article
  4. TheJournal of proteome research · 2026
    Article
  5. Review
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  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Toward Single Bacterium Proteomics.Journal of the American Society for Mass Spectrometry · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Article
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  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

9 authors.

Mukul K MidhaInstitute for Systems Biology, 401 Terry Ave N, Seattle, WA, 98109, USA.ORCID 0000-0003-4053-0682
Ulrike KusebauchInstitute for Systems Biology, 401 Terry Ave N, Seattle, WA, 98109, USA.
David ShteynbergInstitute for Systems Biology, 401 Terry Ave N, Seattle, WA, 98109, USA.ORCID 0000-0001-7982-0498
Charu KapilInstitute for Systems Biology, 401 Terry Ave N, Seattle, WA, 98109, USA.ORCID 0000-0002-8750-5006
Samuel L BaderInstitute for Systems Biology, 401 Terry Ave N, Seattle, WA, 98109, USA.
Panga Jaipal ReddyInstitute for Systems Biology, 401 Terry Ave N, Seattle, WA, 98109, USA.
David S CampbellInstitute for Systems Biology, 401 Terry Ave N, Seattle, WA, 98109, USA.
Nitin S BaligaInstitute for Systems Biology, 401 Terry Ave N, Seattle, WA, 98109, USA.
Robert L MoritzInstitute for Systems Biology, 401 Terry Ave N, Seattle, WA, 98109, USA. rmoritz@systemsbiology.org.ORCID 0000-0002-3216-9447

Funding

Shortening the development cycle time of Trans Proteomic Pipeline tools with high performance computingR01GM087221 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DEUTSCH, ERIC, MORITZ, ROBERT L · 2010 to 2021
$6.0M
NIGMS NIH HHS R01 GM087221
6 · The paper itself

Abstract

Data-Independent Acquisition (DIA) is a method to improve consistent identification and precise quantitation of peptides and proteins by mass spectrometry (MS). The targeted data analysis strategy in DIA relies on spectral assay libraries that are generally derived from a priori measurements of peptides for each species. Although Escherichia coli (E. coli) is among the best studied model organisms, so far there is no spectral assay library for the bacterium publicly available. Here, we generated a spectral assay library for 4,014 of the 4,389 annotated E. coli proteins using one- and two-dimensional fractionated samples, and ion mobility separation enabling deep proteome coverage. We demonstrate the utility of this high-quality library with robustness in quantitation of the E. coli proteome and with rapid-chromatography to enhance throughput by targeted DIA-MS. The spectral assay library supports the detection and quantification of 91.5% of all E. coli proteins at high-confidence with 56,182 proteotypic peptides, making it a valuable resource for the scientific community. Data and spectral libraries are available via ProteomeXchange (PXD020761, PXD020785) and SWATHAtlas (SAL00222-28).

Indexed as

Mass SpectrometryEscherichia coliEscherichia coli ProteinsPeptide LibraryPeptidesProteomeEscherichia coli ProteinsPeptide LibraryPeptidesProteome

Identifiers

PMID33184295
PMCPMC7665006

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.