Evidence map›Paper›PMID 21999830›Full record

ReviewExpert review of proteomics2011

Recent advances in single-cell MALDI mass spectrometry imaging and potential clinical impact.

Kristin J Boggio, Emmanuel Obasuyi, Ken Sugino, Sacha B Nelson, Nathalie Yr Agar, Jeffrey N Agar

Open access · greenAbstract readReview
In one paragraph

Review in Expert review of proteomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

38 citing papers in PubMed, 110 citations in OpenAlex.

  1. Technologies for Decoding Cancer Metabolism with Spatial Resolution.Cold Spring Harbor perspectives in medicine · 2025
    Review
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  9. Data parsing in mass spectrometry imaging using R Studio and Cardinal: A tutorial.Journal of mass spectrometry and advances in the clinical lab · 2022
    Article
  10. Review
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  19. Functional Genomics via CRISPR-Cas.Journal of molecular biology · 2019
    Review
  20. 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

6 authors at 2 institutions in 1 country.

Kristin J BoggioDepartment of Chemistry and Volen Center for Complex Systems, Brandeis University, Waltham, MA, USA.
Emmanuel Obasuyi
Ken Sugino
Sacha B Nelson
Nathalie Yr Agar
Jeffrey N Agar
Brandeis University · USBrigham and Women's Hospital · US

Funding

Structural Consequences of ALS-related Modifications of SOD1R01NS065263 · NINDS · NORTHEASTERN UNIVERSITY · PI AGAR, JEFFREY NEIL · 2009 to 2013
$1.7M
NINDS NIH HHS R01 NS065263
6 · The paper itself

Abstract

Single-cell analysis is gaining popularity in the field of mass spectrometry as a method for analyzing protein and peptide content in cells. The spatial resolution of MALDI mass spectrometry (MS) imaging is by a large extent limited by the laser focal diameter and the displacement of analytes during matrix deposition. Owing to recent advancements in both laser optics and matrix deposition methods, spatial resolution on the order of a single eukaryotic cell is now achievable by MALDI MS imaging. Provided adequate instrument sensitivity, a lateral resolution of approximately 10 µm is currently attainable with commercial instruments. As a result of these advances, MALDI MS imaging is poised to become a transformative clinical technology. In this article, the crucial steps needed to obtain single-cell resolution are discussed, as well as potential applications to disease research.

Indexed as

AnimalsBiomarkersDiagnostic ImagingHumansImmunohistochemistryPrognosisProteinsSingle-Cell AnalysisSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBiomarkersProteins

Identifiers

PMID21999830
PMCPMC3268336
OpenAlexW2027316963

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.