Evidence map›Paper›PMID 23407661›Full record

ArticleIntegrative biology : quantitative biosciences from nano to macro2013

Sorting single satellite cells from individual myofibers reveals heterogeneity in cell-surface markers and myogenic capacity.

Matthew R Chapman, Karthik R Balakrishnan, Ju Li, Michael J Conboy, Haiyan Huang, Swomitra K Mohanty, Eric Jabart, James Hack, Irina M Conboy, Lydia L Sohn

Abstract read
In one paragraph

Article in Integrative biology : quantitative biosciences from nano to macro, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Single-cell Technology in Stem Cell Research.Current stem cell research & therapy · 2025
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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

10 authors.

Matthew R ChapmanBiophysics Graduate Group, University of California, Berkeley, CA 94720, USA.
Karthik R Balakrishnan
Ju Li
Michael J Conboy
Haiyan Huang
Swomitra K Mohanty
Eric Jabart
James Hack
Irina M Conboy
Lydia L Sohn

Funding

Effects of the systemic environment on muscle agingR01AG027252 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI CONBOY, IRINA M · 2007 to 2012
$1.7M
Applied Statistics to a Secondary Analysis of Public Repositories for MicroarrayR21EY019094 · NEI · UNIVERSITY OF CALIFORNIA BERKELEY · PI HUANG, HAIYAN · 2009 to 2010
$419k
NEI NIH HHS EY019094NEI NIH HHS R21 EY019094NIA NIH HHS AG 027252NIA NIH HHS R01 AG027252
6 · The paper itself

Abstract

Traditional cell-screening techniques such as FACS and MACS are better suited for large numbers of cells isolated from bulk tissue and cannot easily screen stem or progenitor cells from minute populations found in their physiological niches. Furthermore, these techniques rely upon irreversible antibody binding, potentially altering cell properties, including gene expression and regenerative capacity. To address these challenges, we have developed a novel, label-free stem-cell analysis and sorting platform capable of quantifying cell-surface marker expression of single functional organ stem cells directly isolated from their micro-anatomical niche. Using our unique platform, we have discovered a remarkable heterogeneity in both the regenerative capacity and expression of CXCR4, β1-integrin, Sca-1, M-cadherin, Syndecan-4, and Notch-1 in freshly isolated muscle stem (satellite) cells residing on different, single myofibers and have identified a small population of Sca-1(+)/Myf5(+) myogenic satellite cells. Our results demonstrate the utility of our single-cell platform for uncovering and functionally characterizing stem-cell heterogeneity in the organ microniche.

Indexed as

AnimalsCell DifferentiationCells, CulturedCell SeparationDielectric SpectroscopyEquipment DesignEquipment Failure AnalysisFlow CytometryMiceMicrofluidic Analytical TechniquesMuscle Fibers, SkeletalReceptors, Cell SurfaceSatellite Cells, Skeletal MuscleReceptors, Cell Surface

Identifiers

PMID23407661
PMCPMC4803067

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.