Single-Cell RNA Sequencing With Combined Use of Bulk RNA Sequencing to Reveal Cell Heterogeneity and Molecular Changes at Acute Stage of Ischemic Stroke in Mouse Cortex Penumbra Area
Frontiers in Cell and Developmental Biology, ISSN: 2296-634X, Vol: 9, Page: 624711
2021
- 51Citations
- 55Captures
Metric Options: Counts1 Year3 YearSelecting 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
- Citations51
- Citation Indexes51
- 51
- Captures55
- Readers55
- 55
Article Description
Stroke has been the leading cause of adult morbidity and mortality over the past several years. After an ischemic stroke attack, many dormant or reversibly injured brain cells exist in the penumbra area. However, the pathological processes and unique cell information in the penumbra area of an acute ischemic stroke remain elusive. We applied unbiased single cell sequencing in combination with bulk RNA-seq analysis to investigate the heterogeneity of each cell type in the early stages of ischemic stroke and to detect early possible therapeutic targets to help cell survival. We used these analyses to study the mouse brain penumbra during this phase. Our results reveal the impact of ischemic stroke on specific genes and pathways of different cell types and the alterations of cell differentiation trajectories, suggesting potential pathological mechanisms and therapeutic targets. In addition to classical gene markers, single-cell genomics demonstrates unique information on subclusters of several cell types and metabolism changes in an ischemic stroke. These findings suggest that Gadd45b in microglia, Cyr61 in astrocytes, and Sgk3 in oligodendrocytes may play a subcluster-specific role in cell death or survival in the early stages of ischemic stroke. Moreover, RNA-scope multiplex in situ hybridization and immunofluorescence staining were applied to selected target gene markers to validate and confirm the existence of these cell subtypes and molecular changes during acute stage of ischemic stroke.
Bibliographic Details
10.3389/fcell.2021.624711; 10.3389/fcell.2021.624711.s005; 10.3389/fcell.2021.624711.s001; 10.3389/fcell.2021.624711.s014; 10.3389/fcell.2021.624711.s006; 10.3389/fcell.2021.624711.s003; 10.3389/fcell.2021.624711.s013; 10.3389/fcell.2021.624711.s009; 10.3389/fcell.2021.624711.s015; 10.3389/fcell.2021.624711.s011; 10.3389/fcell.2021.624711.s007; 10.3389/fcell.2021.624711.s004; 10.3389/fcell.2021.624711.s012; 10.3389/fcell.2021.624711.s008; 10.3389/fcell.2021.624711.s010; 10.3389/fcell.2021.624711.s002
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85102306429&origin=inward; http://dx.doi.org/10.3389/fcell.2021.624711; http://www.ncbi.nlm.nih.gov/pubmed/33692998; https://www.frontiersin.org/articles/10.3389/fcell.2021.624711/supplementary-material/10.3389/fcell.2021.624711.s005; http://dx.doi.org/10.3389/fcell.2021.624711.s005; https://www.frontiersin.org/articles/10.3389/fcell.2021.624711/supplementary-material/10.3389/fcell.2021.624711.s001; http://dx.doi.org/10.3389/fcell.2021.624711.s001; https://www.frontiersin.org/articles/10.3389/fcell.2021.624711/supplementary-material/10.3389/fcell.2021.624711.s014; http://dx.doi.org/10.3389/fcell.2021.624711.s014; https://www.frontiersin.org/articles/10.3389/fcell.2021.624711/supplementary-material/10.3389/fcell.2021.624711.s006; http://dx.doi.org/10.3389/fcell.2021.624711.s006; https://www.frontiersin.org/articles/10.3389/fcell.2021.624711/supplementary-material/10.3389/fcell.2021.624711.s003; http://dx.doi.org/10.3389/fcell.2021.624711.s003; https://www.frontiersin.org/articles/10.3389/fcell.2021.624711/full; https://www.frontiersin.org/articles/10.3389/fcell.2021.624711/supplementary-material/10.3389/fcell.2021.624711.s013; http://dx.doi.org/10.3389/fcell.2021.624711.s013; https://www.frontiersin.org/articles/10.3389/fcell.2021.624711/supplementary-material/10.3389/fcell.2021.624711.s009; http://dx.doi.org/10.3389/fcell.2021.624711.s009; https://www.frontiersin.org/articles/10.3389/fcell.2021.624711/supplementary-material/10.3389/fcell.2021.624711.s015; http://dx.doi.org/10.3389/fcell.2021.624711.s015; https://www.frontiersin.org/articles/10.3389/fcell.2021.624711/supplementary-material/10.3389/fcell.2021.624711.s011; http://dx.doi.org/10.3389/fcell.2021.624711.s011; https://www.frontiersin.org/articles/10.3389/fcell.2021.624711/supplementary-material/10.3389/fcell.2021.624711.s007; http://dx.doi.org/10.3389/fcell.2021.624711.s007; https://www.frontiersin.org/articles/10.3389/fcell.2021.624711/supplementary-material/10.3389/fcell.2021.624711.s004; http://dx.doi.org/10.3389/fcell.2021.624711.s004; https://www.frontiersin.org/articles/10.3389/fcell.2021.624711/supplementary-material/10.3389/fcell.2021.624711.s012; http://dx.doi.org/10.3389/fcell.2021.624711.s012; https://www.frontiersin.org/articles/10.3389/fcell.2021.624711/supplementary-material/10.3389/fcell.2021.624711.s008; http://dx.doi.org/10.3389/fcell.2021.624711.s008; https://www.frontiersin.org/articles/10.3389/fcell.2021.624711/supplementary-material/10.3389/fcell.2021.624711.s010; http://dx.doi.org/10.3389/fcell.2021.624711.s010; https://www.frontiersin.org/articles/10.3389/fcell.2021.624711/supplementary-material/10.3389/fcell.2021.624711.s002; http://dx.doi.org/10.3389/fcell.2021.624711.s002; https://dx.doi.org/10.3389/fcell.2021.624711; https://www.frontiersin.org/journals/cell-and-developmental-biology/articles/10.3389/fcell.2021.624711/full; https://dx.doi.org/10.3389/fcell.2021.624711.s010; https://dx.doi.org/10.3389/fcell.2021.624711.s013; https://dx.doi.org/10.3389/fcell.2021.624711.s005; https://dx.doi.org/10.3389/fcell.2021.624711.s012; https://dx.doi.org/10.3389/fcell.2021.624711.s003; https://dx.doi.org/10.3389/fcell.2021.624711.s014; https://dx.doi.org/10.3389/fcell.2021.624711.s007; https://dx.doi.org/10.3389/fcell.2021.624711.s009; https://dx.doi.org/10.3389/fcell.2021.624711.s004; https://dx.doi.org/10.3389/fcell.2021.624711.s015; https://dx.doi.org/10.3389/fcell.2021.624711.s006; https://dx.doi.org/10.3389/fcell.2021.624711.s011; https://dx.doi.org/10.3389/fcell.2021.624711.s001; https://dx.doi.org/10.3389/fcell.2021.624711.s008; https://dx.doi.org/10.3389/fcell.2021.624711.s002
Frontiers Media SA
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know