scholarly journals Single-Cell RNA-Seq Reveals Hypothalamic Cell Diversity

Cell Reports ◽  
2017 ◽  
Vol 18 (13) ◽  
pp. 3227-3241 ◽  
Author(s):  
Renchao Chen ◽  
Xiaoji Wu ◽  
Lan Jiang ◽  
Yi Zhang
Keyword(s):  
Rna Seq ◽  
Author(s):  
Ernesto Marín-Sedeño ◽  
Xabier Martínez de Morentin ◽  
Jose M. Pérez-Pomares ◽  
David Gómez-Cabrero ◽  
Adrián Ruiz-Villalba

During the last decade, extensive efforts have been made to comprehend cardiac cell genetic and functional diversity. Such knowledge allows for the definition of the cardiac cellular interactome as a reasonable strategy to increase our understanding of the normal and pathologic heart. Previous experimental approaches including cell lineage tracing, flow cytometry, and bulk RNA-Seq have often tackled the analysis of cardiac cell diversity as based on the assumption that cell types can be identified by the expression of a single gene. More recently, however, the emergence of single-cell RNA-Seq technology has led us to explore the diversity of individual cells, enabling the cardiovascular research community to redefine cardiac cell subpopulations and identify relevant ones, and even novel cell types, through their cell-specific transcriptomic signatures in an unbiased manner. These findings are changing our understanding of cell composition and in consequence the identification of potential therapeutic targets for different cardiac diseases. In this review, we provide an overview of the continuously changing cardiac cellular landscape, traveling from the pre-single-cell RNA-Seq times to the single cell-RNA-Seq revolution, and discuss the utilities and limitations of this technology.


2020 ◽  
Author(s):  
Lihe Chen ◽  
Chun-Lin Chou ◽  
Mark A. Knepper

ABSTRACTA major objective in modern biology is generation of comprehensive atlases of various organs identifying all cell types and their expressed genes. In kidney, extensive data exists for proximal tubule and collecting duct cells, but not for non-abundant intermediate epithelial cell types. Here, we coupled a FACS-enrichment protocol with single-cell RNA-seq analysis to profile the transcriptomes of 9099 cells from the nephron region adjacent to the macula densa. Clusters containing Slc12a3+/Pvalb+ and Slc12a3+/Pvalb- cells were identified as DCT1 and DCT2 cells. The DCT1 cells appear to be heterogeneously associated with variable expression of Slc8a1, Calb1, and Ckb among other mRNAs. No DCT2-specific transcripts were found. The analysis also identified two distinct cell types in the Slc12a1+ portion of Henle’s loop as well as Nos1+/Avpr1a+ macula densa cells. Thus, we identify unexpected cell diversity in the intermediate region of the nephron and create a web-based data resource for these cells.


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