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Muscle-Bound Primordial Stem Cells Give Rise to Myofiber-Associated Myogenic and Non-Myogenic Progenitors

Overview of attention for article published in PLOS ONE, October 2011
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Title
Muscle-Bound Primordial Stem Cells Give Rise to Myofiber-Associated Myogenic and Non-Myogenic Progenitors
Published in
PLOS ONE, October 2011
DOI 10.1371/journal.pone.0025605
Pubmed ID
Authors

Elad Segev, Gabi Shefer, Rivka Adar, Noa Chapal-Ilani, Shalev Itzkovitz, Inna Horovitz, Yitzhak Reizel, Dafna Benayahu, Ehud Shapiro

Abstract

Myofiber cultures give rise to myogenic as well as to non-myogenic cells. Whether these myofiber-associated non-myogenic cells develop from resident stem cells that possess mesenchymal plasticity or from other stem cells such as mesenchymal stem cells (MSCs) remain unsolved. To address this question, we applied a method for reconstructing cell lineage trees from somatic mutations to MSCs and myogenic and non-myogenic cells from individual myofibers that were cultured at clonal density.Our analyses show that (i) in addition to myogenic progenitors, myofibers also harbor non-myogenic progenitors of a distinct, yet close, lineage; (ii) myofiber-associated non-myogenic and myogenic cells share the same muscle-bound primordial stem cells of a lineage distinct from bone marrow MSCs; (iii) these muscle-bound primordial stem-cells first part to individual muscles and then differentiate into myogenic and non-myogenic stem cells.

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The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 29%
Researcher 3 18%
Student > Ph. D. Student 3 18%
Student > Bachelor 2 12%
Professor > Associate Professor 2 12%
Other 1 6%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 41%
Medicine and Dentistry 4 24%
Biochemistry, Genetics and Molecular Biology 2 12%
Economics, Econometrics and Finance 1 6%
Computer Science 1 6%
Other 0 0%
Unknown 2 12%