Differentiation and Characterization of Human Pluripotent Stem Cell-Derived Cardiac Endothelial Cells for In Vitro Applications
Methods in Molecular Biology, ISSN: 1940-6029, Vol: 2441, Page: 339-348
2022
- 1Citations
- 8Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations1
- Citation Indexes1
- Captures8
- Readers8
Book Chapter Description
Various protocols have been developed to generate endothelial cells for disease modeling, angiogenesis, vascular regeneration, and drug screening. These protocols often require cell sorting, as most differentiation strategies result in a heterogenous population of endothelial cells (ECs). For any given model system, one important consideration is choosing the appropriate EC subtype, as different EC populations have unique molecular signatures. Herein, we describe a protocol for cardiac EC differentiation and a protocol for endothelial cell characterization. This protocol is aimed at investigating differentiation efficiency by measuring endothelial lineage markers, CD31, VE-Cadherin, and VEGFR2 by flow cytometry. Collectively, these protocols comprise the tools required to generate cardiac ECs efficiently and reproducibly from different hPSC lines without the need for cell sorting. Our protocol adds to the panel of hPSCs for cardiac EC differentiation and addresses reproducibility concerns of hPSC-based experiments. The approaches described are also applicable for complex model generation where multiple cardiovascular cell types are involved and may assist in optimizing differentiations for different cell lineages, including cardiomyocytes, cardiac endothelial cells, and cardiac fibroblasts.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85123905294&origin=inward; http://dx.doi.org/10.1007/978-1-0716-2059-5_27; http://www.ncbi.nlm.nih.gov/pubmed/35099750; https://link.springer.com/10.1007/978-1-0716-2059-5_27; https://dx.doi.org/10.1007/978-1-0716-2059-5_27; https://link.springer.com/protocol/10.1007/978-1-0716-2059-5_27
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know