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The in vivo endothelial cell translatome is highly heterogeneous across vascular beds
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Abstract
Endothelial cells (ECs) are highly specialized across vascular beds. However, given their interspersed anatomic distribution, comprehensive characterization of the molecular basis for this heterogeneity in vivo has been limited. By applying endothelial-specific translating ribosome affinity purification (EC-TRAP) combined with high-throughput RNA sequencing analysis, we identified pan EC-enriched genes and tissue-specific EC transcripts, which include both established markers and genes previously unappreciated for their presence in ECs. In addition, EC-TRAP limits changes in gene expression after EC isolation and in vitro expansion, as well as rapid vascular bed-specific shifts in EC gene expression profiles as a result of the enzymatic tissue dissociation required to generate single-cell suspensions for fluorescence-activated cell sorting or single-cell RNA sequencing analysis. Comparison of our EC-TRAP with published single-cell RNA sequencing data further demonstrates considerably greater sensitivity of EC-TRAP for the detection of low abundant transcripts. Application of EC-TRAP to examine the in vivo host response to lipopolysaccharide (LPS) revealed the induction of gene expression programs associated with a native defense response, with marked differences across vascular beds. Furthermore, comparative analysis of whole-tissue and TRAP-selected mRNAs identified LPS-induced differences that would not have been detected by whole-tissue analysis alone. Together, these data provide a resource for the analysis of EC-specific gene expression programs across heterogeneous vascular beds under both physiologic and pathologic conditions.
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EC-TRAP was performed as previously described.
“EC-TRAP was performed as we have previously described [75].”
From Genetic variation in CCDC93 is associated with elevated central systolic blood pressure, impaired arterial relaxation, and mitochondrial dysfunction (2024) · cites this paper as [75]
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BackgroundA translational profiling approach for the molecular characterization of CNS cell types
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Kumar, N., Yang, M.-L., Sun, P., Hunker, K. L., Li, J., Jia, J., Fan, F., Wang, J., Ning, X., Gao, W., et al. (2024) · PLOS Genetics · doi:10.1371/journal.pgen.1011151 · Cited by 1
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Metadata
- Authors
- Cleuren, A. C. A., van der Ent, M. A., Jiang, H., Hunker, K. L., Yee, A., Siemieniak, D. R., Molema, G., Aird, W. C., Ganesh, S. K., & Ginsburg, D.
- Affiliations
- Life Sciences Institute, University of Michigan, Ann Arbor, MI 48109;
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109;
- Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109;
- Department of Pathology and Medical Biology, University of Groningen, 9700 RB Groningen, The Netherlands;
- Center for Vascular Biology Research, Beth Israel Deaconess Medical Center, Boston, MA 02215;
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2019-11-11
- Volume
- 116
- Issue
- 47
- Pages
- 23618-23624
- ISSN
- 0027-8424
- 1091-6490
- Cited by
- 152
- References
- 11
- Language
- en
- Funders
- HHS | NIH | National Heart, Lung, and Blood Institute (R35HL135793, R01HL122684)
- American Heart Association (16POST27770093)
- Howard Hughes Medical Institute (No number)
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