Usage Information
Citation Information: JCI Insight. 2020;5(16):e139377. https://doi.org/10.1172/jci.insight.139377.
Abstract
The naive heart harbors a population of intravascular B cells that make close contact with the cardiac microvasculature. However, the timing of their appearance and their organ specificity remain unknown. To address this knowledge gap, we performed a systematic analysis of B cells isolated from the myocardium and other organs, from embryonic life to adulthood. We found that the phenotype of myocardial B cells changed dynamically during development. While neonatal heart B cells were mostly CD11b+ and CD11b– CD21–CD23–, adult B cells were predominantly CD11b–CD21+CD23+. Histological analysis and intravital microscopy of lung and liver showed that organ-associated B cells in contact with the microvascular endothelium were not specific to the heart. Flow cytometric analysis of perfused hearts, livers, lungs, and spleen showed that the dynamic changes in B cell subpopulations observed in the heart during development mirrored changes observed in the other organs. Single cell RNA sequencing (scRNAseq) analysis of B cells showed that myocardial B cells were part of a larger population of organ-associated B cells that had a distinct transcriptional profile. These findings broaden our understanding of the biology of myocardial-associated B cells and suggest that current models of the dynamics of naive B cells during development are incomplete.
Authors
Cibele Rocha-Resende, Wei Yang, Wenjun Li, Daniel Kreisel, Luigi Adamo, Douglas L. Mann
Usage data is cumulative from February 2024 through February 2025.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 364 | 104 |
| 83 | 30 | |
| Figure | 188 | 0 |
| Table | 32 | 0 |
| Supplemental data | 214 | 5 |
| Citation downloads | 54 | 0 |
| Totals | 935 | 139 |
| Total Views | 1,074 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.
