↓ Skip to main content

PLOS

Murine and Human Myogenic Cells Identified by Elevated Aldehyde Dehydrogenase Activity: Implications for Muscle Regeneration and Repair

Overview of attention for article published in PLOS ONE, December 2011
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
45 Mendeley
Title
Murine and Human Myogenic Cells Identified by Elevated Aldehyde Dehydrogenase Activity: Implications for Muscle Regeneration and Repair
Published in
PLOS ONE, December 2011
DOI 10.1371/journal.pone.0029226
Pubmed ID
Authors

Joseph B. Vella, Seth D. Thompson, Mark J. Bucsek, Minjung Song, Johnny Huard

Abstract

Despite the initial promise of myoblast transfer therapy to restore dystrophin in Duchenne muscular dystrophy patients, clinical efficacy has been limited, primarily by poor cell survival post-transplantation. Murine muscle derived stem cells (MDSCs) isolated from slowly adhering cells (SACs) via the preplate technique, induce greater muscle regeneration than murine myoblasts, primarily due to improved post-transplantation survival, which is conferred by their increased stress resistance capacity. Aldehyde dehydrogenase (ALDH) represents a family of enzymes with important morphogenic as well as oxidative damage mitigating roles and has been found to be a marker of stem cells in both normal and malignant tissue. In this study, we hypothesized that elevated ALDH levels could identify murine and human muscle derived cell (hMDC) progenitors, endowed with enhanced stress resistance and muscle regeneration capacity.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 29%
Student > Master 6 13%
Student > Ph. D. Student 6 13%
Other 4 9%
Student > Doctoral Student 3 7%
Other 5 11%
Unknown 8 18%
Readers by discipline Count As %
Medicine and Dentistry 10 22%
Agricultural and Biological Sciences 10 22%
Biochemistry, Genetics and Molecular Biology 7 16%
Engineering 2 4%
Psychology 2 4%
Other 6 13%
Unknown 8 18%