ArticleStem cell reviews and reports2013
Optimised protocols for the identification of the murine cardiac side population.
Article in Stem cell reviews and reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
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Who cites it
6 citing papers in PubMed.
- Impact of transforming growth factor beta 1 on normal and thyroid cancer side population cells.Endocrine · 2022Article
- Article
- Senescence and senolytics in cardiovascular disease: Promise and potential pitfalls.Mechanisms of ageing and development · 2021Review
- Aging influences the cardiac macrophage phenotype and function during steady state and during inflammation.Aging cell · 2021Article
- Experimental Considerations for Single-Cell RNA Sequencing Approaches.Frontiers in cell and developmental biology · 2018Review
- Characterisation of human limbal side population cells isolated using an optimised protocol from an immortalised epithelial cell line and primary limbal cultures.Stem cell reviews and reports · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Cardiac side population (CSP) cells, defined by their ability to efflux the vital dye Hoechst 33342, have been identified as putative cardiac stem cells based on their potential to give rise to both cardiomyocytes and endothelial cells. The CSP phenotype relies on an active metabolic pathway and cell viability to identify a rare population of cells and therefore technical differences in the CSP staining protocol can lead to inconsistent results and discrepancies between studies. Here we describe an established protocol for CSP identification and have optimised a protocol for CSP analysis utilizing an automated cardiac digestion procedure using gentleMACs dissociation and Hoechst 33342 staining followed by dual wavelength flow cytometric analysis.
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