Evidence map›Paper›PMID 35061381›Full record

ArticleJournal of the American Society for Mass Spectrometry2022

Reduced Hemoglobin Signal and Improved Detection of Endogenous Proteins in Blood-Rich Tissues for MALDI Mass Spectrometry Imaging.

Monica Lin, Livia S Eberlin, Erin H Seeley

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2022. 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
1.4field-weighted citation impact, top 21% 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, 14 citations in OpenAlex.

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  5. Review
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

3 authors at 2 institutions in 1 country.

Monica LinDepartment of Chemistry, The University of Texas at Austin, Austin, Texas 78712, United States.
Livia S EberlinDepartment of Chemistry, The University of Texas at Austin, Austin, Texas 78712, United States.ORCID https://orcid.org/0000-0002-3885-3215
Erin H SeeleyDepartment of Chemistry, The University of Texas at Austin, Austin, Texas 78712, United States.
The University of Texas at Austin · USBaylor College of Medicine · US

Funding

Molecular Imaging and Diagnosis of Endometriosis using Mass Spectrometry TechnologiesR01HD101560 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI SCHIAVINATO EBERLIN, LIVIA · 2021 to 2024
$772k
NICHD NIH HHS R01 HD101560
6 · The paper itself

Abstract

Mass spectrometry imaging provides a powerful approach for the direct analysis and spatial visualization of molecules in tissue sections. Using matrix-assisted laser desorption/ionization mass spectrometry, intact protein imaging has been widely investigated for biomarker analysis and diagnosis in a variety of tissue types and diseases. However, blood-rich or highly vascular tissues present a challenge in molecular imaging due to the high ionization efficiency of hemoglobin, which leads to ion suppression of endogenous proteins. Here, we describe a protocol to selectively reduce hemoglobin signal in blood-rich tissues that can easily be integrated into mass spectrometry imaging workflows.

Indexed as

AnimalsEndometriumFemaleHemoglobinsHumansLiverMiceProteinsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationSpleenHemoglobinsProteinshemoglobin removalMALDI imagingmass spectrometry imagingprotein imagingsample preparationtissue imaging

Identifiers

PMID35061381
PMCPMC9041275
OpenAlexW4206944975

What OpenQuestion holds

Textmetadata
LicenceTDM
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.