Evidence map›Paper›PMID 32159346›Full record

ArticleJournal of the American Society for Mass Spectrometry2020

Native LESA TWIMS-MSI: Spatial, Conformational, and Mass Analysis of Proteins and Protein Complexes.

Oliver J Hale, Emma K Sisley, Rian L Griffiths, Iain B Styles, Helen J Cooper

Open access · hybridAbstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 38 citations in OpenAlex.

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  13. Proteoform-Selective Imaging of Tissues Using Mass Spectrometry.Angewandte Chemie (International ed. in English) · 2022
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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

5 authors at 2 institutions in 1 country.

Oliver J HaleSchool of Biosciences, University of Birmingham, Edgbaston B15 2TT, U.K.
Emma K SisleySchool of Biosciences, University of Birmingham, Edgbaston B15 2TT, U.K.
Rian L GriffithsSchool of Biosciences, University of Birmingham, Edgbaston B15 2TT, U.K.
Iain B StylesSchool of Computer Science, University of Birmingham, Edgbaston B15 2TT, U.K.
Helen J CooperSchool of Biosciences, University of Birmingham, Edgbaston B15 2TT, U.K.ORCID http://orcid.org/0000-0003-4590-9384
University of Birmingham · GBThe Edgbaston Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have previously demonstrated native liquid extraction surface analysis (LESA) mass spectrometry imaging of small intact proteins in thin tissue sections. We also showed calculation of collision cross sections for specific proteins extracted from discrete locations in tissue by LESA traveling wave ion mobility spectrometry (TWIMS). Here, we demonstrate an integrated native LESA TWIMS mass spectrometry imaging (MSI) workflow, in which ion mobility separation is central to the imaging experiment and which provides spatial, conformational, and mass information on endogenous proteins in a single experiment. The approach was applied to MSI of a thin tissue section of mouse kidney. The results show that the benefits of integration of TWIMS include improved specificity of the ion images and the capacity to calculate collision cross sections for any protein or protein complex detected in any pixel (without

Indexed as

AnimalsChemical FractionationHemoglobinsIon Mobility SpectrometryKidneyMiceMolecular ImagingMultiprotein ComplexesProtein ConformationProteinsWorkflowHemoglobinsMultiprotein ComplexesProteins

Identifiers

PMID32159346
PMCPMC7147347
OpenAlexW3008598684

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.