Evidence map›Paper›PMID 33903600›Full record

ArticleScientific data2021

Generation of a mouse SWATH-MS spectral library to quantify 10148 proteins involved in cell reprogramming.

Uxue Ulanga, Matthew Russell, Stefano Patassini, Julie Brazzatti, Ciaren Graham, Anthony D Whetton, Robert L J Graham

Open access · goldAbstract read
In one paragraph

Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Uxue UlangaClinical Proteomics Research Group, Division of Molecular and Clinical Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road Manchester, Manchester, UK.ORCID 0000-0001-8622-8871
Matthew RussellStoller Biomarker Discovery Centre, Division of Molecular and Clinical Cancer Sciences, NIHR Biomedical Research Centre, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road Manchester, Manchester, UK.ORCID 0000-0002-2681-3240
Stefano PatassiniStem Cell & Leukaemia Proteomics Laboratory, Manchester Cancer Research Centre, Division of Molecular and Clinical Cancer Sciences, Faculty of Biology, Medicine & Health, University of Manchester, Manchester, UK.
Julie BrazzattiStoller Biomarker Discovery Centre, Division of Molecular and Clinical Cancer Sciences, NIHR Biomedical Research Centre, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road Manchester, Manchester, UK.
Ciaren GrahamCentre for Biosciences, School of Healthcare Science, Manchester Metropolitan University, Manchester, UK.
Anthony D WhettonStoller Biomarker Discovery Centre, Division of Molecular and Clinical Cancer Sciences, NIHR Biomedical Research Centre, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road Manchester, Manchester, UK.
Robert L J GrahamClinical Proteomics Research Group, Division of Molecular and Clinical Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road Manchester, Manchester, UK. r.graham@qub.ac.uk.
University of Manchester · GBManchester Metropolitan University · GBQueen's University Belfast · GB

Funding

Bloodwise 19007Cancer Research UK (CRUK) C5759/ A25254Medical Research Council MR/M008959/1Medical Research Council MR/N00583X/1RCUK | MRC | Medical Research Foundation MR/M008959/1
6 · The paper itself

Abstract

Murine models are amongst the most widely used systems to study biology and pathology. Targeted quantitative proteomic analysis is a relatively new tool to interrogate such systems. Recently the need for relative quantification on hundreds to thousands of samples has driven the development of Data Independent Acquisition methods. One such technique is SWATH-MS, which in the main requires prior acquisition of mass spectra to generate an assay reference library. In stem cell research, it has been shown pluripotency can be induced starting with a fibroblast population. In so doing major changes in expressed proteins is inevitable. Here we have created a reference library to underpin such studies. This is inclusive of an extensively documented script to enable replication of library generation from the raw data. The documented script facilitates reuse of data and adaptation of the library to novel applications. The resulting library provides deep coverage of the mouse proteome. The library covers 29519 proteins (53% of the proteome) of which 7435 (13%) are supported by a proteotypic peptide.

Indexed as

Cellular ReprogrammingDatabases, ProteinMiceProteomeAnimalsMass SpectrometryProtein Array AnalysisProteomicsProteome

Identifiers

PMID33903600
PMCPMC8076245
OpenAlexW3159494686

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.