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Coral cell separation and isolation by fluorescence-activated cell sorting (FACS)

Overview of attention for article published in BMC Cell Biology, August 2017
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  • Good Attention Score compared to outputs of the same age (65th percentile)

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2 X users
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1 Wikipedia page

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159 Mendeley
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Article details
Title
Coral cell separation and isolation by fluorescence-activated cell sorting (FACS)
Published in
BMC Cell Biology, August 2017
DOI 10.1186/s12860-017-0146-8
Pubmed ID
Authors
Abstract

Generalized methods for understanding the cell biology of non-model species are quite rare, yet very much needed. In order to address this issue, we have modified a technique traditionally used in the biomedical field for ecological and evolutionary research. Fluorescent activated cell sorting (FACS) is often used for sorting and identifying cell populations. In this study, we developed a method to identify and isolate different cell populations in corals and other cnidarians. Using fluorescence-activated cell sorting (FACS), coral cell suspension were sorted into different cellular populations using fluorescent cell markers that are non-species specific. Over 30 different cell markers were tested. Additionally, cell suspension from Aiptasia pallida was also tested, and a phagocytosis test was done as a downstream functional assay. We found that 24 of the screened markers positively labeled coral cells and 16 differentiated cell sub-populations. We identified 12 different cellular sub-populations using three markers, and found that each sub-population is primarily homogeneous. Lastly, we verified this technique in a sea anemone, Aiptasia pallida, and found that with minor modifications, a similar gating strategy can be successfully applied. Additionally, within A. pallida, we show elevated phagocytosis of sorted cells based on an immune associated marker. In this study, we successfully adapted FACS for isolating coral cell populations and conclude that this technique is translatable for future use in other species. This technique has the potential to be used for different types of studies on the cellular stress response and other immunological studies.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 159 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 37 23%
Student > Master 29 18%
Student > Bachelor 17 11%
Researcher 12 8%
Other 6 4%
Other 18 11%
Unknown 40 25%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 44 28%
Agricultural and Biological Sciences 33 21%
Environmental Science 18 11%
Immunology and Microbiology 5 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 1%
Other 9 6%
Unknown 48 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 March 2021.
All research outputs
#8,241,810
of 27,829,204 outputs
Outputs from BMC Cell Biology
#66
of 321 outputs
Outputs of similar age
#109,924
of 330,025 outputs
Outputs of similar age from BMC Cell Biology
#1
of 4 outputs
Altmetric has tracked 27,829,204 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 321 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 330,025 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them