Evidence map›Paper›PMID 32493768›Full record

ArticleDisease models & mechanisms2020

A mouse SWATH-mass spectrometry reference spectral library enables deconvolution of species-specific proteomic alterations in human tumour xenografts.

Lukas Krasny, Philip Bland, Jessica Burns, Nadia Carvalho Lima, Peter T Harrison, Laura Pacini, Mark L Elms, Jian Ning, Victor Garcia Martinez, Yi-Ru Yu and 7 more

Open access · goldAbstract read
In one paragraph

Article in Disease models & mechanisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 20 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

17 authors at 4 institutions in 3 countries.

Lukas KrasnyDivision of Molecular Pathology, The Institute of Cancer Research, London SW3 6JB, UK.
Philip BlandThe Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London SW3 6JB, UK.
Jessica BurnsDivision of Molecular Pathology, The Institute of Cancer Research, London SW3 6JB, UK.
Nadia Carvalho LimaDivision of Molecular Pathology, The Institute of Cancer Research, London SW3 6JB, UK.
Peter T HarrisonDivision of Molecular Pathology, The Institute of Cancer Research, London SW3 6JB, UK.
Laura PaciniDivision of Molecular Pathology, The Institute of Cancer Research, London SW3 6JB, UK.
Mark L ElmsDivision of Molecular Pathology, The Institute of Cancer Research, London SW3 6JB, UK.
Jian NingTumour Profiling Unit, The Institute of Cancer Research, London SW3 6JB, UK.
Victor Garcia MartinezStromal Immunology Group, MRC Laboratory for Molecular Cell Biology, University College London WC1E 6BT, London, UK.
Yi-Ru YuDepartment of Oncology, University of Lausanne, Lausanne CH-1066, Switzerland.
Sophie E ActonStromal Immunology Group, MRC Laboratory for Molecular Cell Biology, University College London WC1E 6BT, London, UK.
Ping-Chih HoDepartment of Oncology, University of Lausanne, Lausanne CH-1066, Switzerland.
Fernando CalvoThe Tumour Microenvironment Team, Institute of Biomedicine and Biotechnology of Cantabria, Santander 39011, Spain.
Amanda SwainTumour Profiling Unit, The Institute of Cancer Research, London SW3 6JB, UK.
Beatrice A HowardThe Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London SW3 6JB, UK.
Rachael C NatrajanThe Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London SW3 6JB, UK.
Paul H HuangDivision of Molecular Pathology, The Institute of Cancer Research, London SW3 6JB, UK paul.huang@icr.ac.uk.ORCID 0000-0003-3972-5087
Institute of Cancer Research · GBLudwig Cancer Research · CHMRC Laboratory for Molecular Cell Biology · GBInstituto de Biomedicina y Biotecnología de Cantabria · ES

Funding

Cancer Research UK 19763Cancer Research UK CRUK/A19763Medical Research Council MC_U12266B
6 · The paper itself

Abstract

SWATH-mass spectrometry (MS) enables accurate and reproducible proteomic profiling in multiple model organisms including the mouse. Here, we present a comprehensive mouse reference spectral library (MouseRefSWATH) that permits quantification of up to 10,597 proteins (62.2% of the mouse proteome) by SWATH-MS. We exploit MouseRefSWATH to develop an analytical pipeline for species-specific deconvolution of proteomic alterations in human tumour xenografts (XenoSWATH). This method overcomes the challenge of high sequence similarity between mouse and human proteins, facilitating the study of host microenvironment-tumour interactions from 'bulk tumour' measurements. We apply the XenoSWATH pipeline to characterize an intraductal xenograft model of breast ductal carcinoma

Indexed as

ProteomeProteomicsTandem Mass SpectrometryAnimalsBreast NeoplasmsCarcinoma, Intraductal, NoninfiltratingCell CommunicationCell Line, TumorChromatography, LiquidDatabases, ProteinFemaleHeterograftsHumansMaleMiceMice, Inbred C57BLNeoplasm ProteinsProteomeBreast cancerDCISMass spectrometryMouseProteomicsSWATH-MSXenografts

Identifiers

PMID32493768
PMCPMC7375474
OpenAlexW3029209014

What OpenQuestion holds

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LicenceCC BY
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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.