2016
DOI: 10.1080/15384101.2016.1229017
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Finding a needle in a “needlestack”

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Cited by 5 publications
(2 citation statements)
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“…The transcriptional data obtained from these tests can be subjected to hierarchical and k-means clustering to generate subsets of cells based on their intracellular transcriptional profile that can include genes for inflammation, growth factor release, extracellular matrix deposition or matrix lysis 70,104,105 . Correlation analyses can be conducted to reveal the best surface marker or surface marker combination unique to each cell subset 106,107 . Finally, the surface marker combinations can be used to isolate unique macrophage subsets by FACS.…”
Section: Identification Of Macrophage Phenotypes In Wound Healingmentioning
confidence: 99%
See 1 more Smart Citation
“…The transcriptional data obtained from these tests can be subjected to hierarchical and k-means clustering to generate subsets of cells based on their intracellular transcriptional profile that can include genes for inflammation, growth factor release, extracellular matrix deposition or matrix lysis 70,104,105 . Correlation analyses can be conducted to reveal the best surface marker or surface marker combination unique to each cell subset 106,107 . Finally, the surface marker combinations can be used to isolate unique macrophage subsets by FACS.…”
Section: Identification Of Macrophage Phenotypes In Wound Healingmentioning
confidence: 99%
“…However, it is much less comprehensive compared to RNA sequencing and the primers used to probe the single cells need to be carefully selected. Despite the disadvantage, the reliability of the technique makes it is more suited for clinical diagnoses 106,107 .…”
Section: Identification Of Macrophage Phenotypes In Wound Healingmentioning
confidence: 99%