Evidence map›Paper›PMID 30350631›Full record

ArticleAnalytical chemistry2018

Quantifying Heterogeneity of Individual Organelles in Mixed Populations via Mass Cytometry.

Heather M G Brown, Edgar A Arriaga

Abstract read
In one paragraph

Article in Analytical chemistry, 2018. 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
–field-weighted citation impact
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.

  1. Article
  2. A subcellular cookie cutter for spatial genomics in human tissue.Analytical and bioanalytical chemistry · 2022
    Article
  3. Article
  4. Review
  5. Article
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

2 authors.

Heather M G BrownDepartment of Chemistry , University of Minnesota , Minneapolis , Minnesota 55455 , United States.
Edgar A ArriagaDepartment of Chemistry , University of Minnesota , Minneapolis , Minnesota 55455 , United States.ORCID 0000-0001-8863-6174

Funding

TRAINING FOR FUTURE BIOTECHNOLOGY DEVELOPMENTT32GM008347 · NIGMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI SCHMIDT-DANNERT, CLAUDIA · 1990 to 2021
$11.0M
Quantitating Mitophagy in Skeletal Muscle ModelsR01AG020866 · NIA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ARRIAGA, EDGAR A · 2002 to 2021
$5.7M
NIA NIH HHS R01 AG020866NIGMS NIH HHS T32 GM008347
6 · The paper itself

Abstract

Macroautophagy is a complex degradative intracellular process by which long-lived proteins and damaged organelles are cleared. Common methods for the analysis of autophagy are bulk measurements which mask organelle heterogeneity and complicate the analysis of interorganelle association and trafficking. Thus, methods for individual organelle quantification are needed to address these deficiencies. Current techniques for quantifying individual autophagy organelles are either low through-put or are dimensionally limited. We make use of the multiparametric capability of mass cytometry to investigate phenotypic heterogeneity in autophagy-related organelle types that have been isolated from murine brain, liver, and skeletal muscle. Detection and phenotypic classification of individual organelles were accomplished through the use of a lanthanide-chelating membrane stain and organelle-specific antibodies. Posthoc sample matrix background correction and nonspecific antibody binding corrections provide measures of interorganelle associations and heterogeneity. This is the first demonstration of multiparametric individual organelle analysis via mass cytometry. The method described here illustrates the potential for further investigation of the inherently complex interorganelle associations, trafficking, and heterogeneity present in most eukaryotic biological systems.

Indexed as

AnimalsAntibodiesAutophagyChelating AgentsFemaleFlow CytometryIntracellular MembranesMass SpectrometryMice, Inbred C57BLOrganellesPentetic AcidTerbiumAntibodiesChelating AgentsPentetic AcidTerbium

Identifiers

PMID30350631
PMCPMC6453816

What OpenQuestion holds

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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.