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Open AccessJournal ArticleDOI

Single-Cell RNA Sequencing Reveals mRNA Splice Isoform Switching during Kidney Development.

TLDR
Discovery of the sets of genes that are alternatively spliced as the fetal kidney mesenchyme differentiates into tubular epithelium will improve the understanding of the molecular mechanisms that drive kidney development.
Abstract
Background During mammalian kidney development, nephron progenitors undergo a mesenchymal-to-epithelial transition and eventually differentiate into the various tubular segments of the nephron. Recently, Drop-seq single-cell RNA sequencing technology for measuring gene expression from thousands of individual cells identified the different cell types in the developing kidney. However, that analysis did not include the additional layer of heterogeneity that alternative mRNA splicing creates. Methods Full transcript length single-cell RNA sequencing characterized the transcriptomes of 544 individual cells from mouse embryonic kidneys. Results Gene expression levels measured with full transcript length single-cell RNA sequencing identified each cell type. Further analysis comprehensively characterized splice isoform switching during the transition between mesenchymal and epithelial cellular states, which is a key transitional process in kidney development. The study also identified several putative splicing regulators, including the genes Esrp1/2 and Rbfox1/2. Conclusions Discovery of the sets of genes that are alternatively spliced as the fetal kidney mesenchyme differentiates into tubular epithelium will improve our understanding of the molecular mechanisms that drive kidney development.

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Journal Article

Atlas of Gene Expression in the Developing Kidney at Microanatomic Resolution (vol 15, pg 781, 2008)

TL;DR: This kidney atlas allows a comprehensive analysis of the progression of gene expression states during nephrogenesis, as well as discovery of potential growth factor-receptor interactions, and provides deeper insight into the genetic regulatory mechanisms of kidney development.
Journal ArticleDOI

A Comprehensive Map of mRNAs and Their Isoforms across All 14 Renal Tubule Segments of Mouse.

TL;DR: In this article, a full-length, small-sample RNA-seq protocol profiled transcriptomes for all 14 renal tubule segments microdissected from mouse kidneys and identified >34,000 transcripts, including 3709 that were expressed in a segment-specific manner.
Journal ArticleDOI

Mapping the human kidney using single-cell genomics

TL;DR: The state of the art of single-cell analyses in kidney research is summarized, including advances in the understanding of kidney embryogenesis and pathomechanisms of several relevant kidney disease entities.
Journal ArticleDOI

Kidney single-cell transcriptome profile reveals distinct response of proximal tubule cells to SGLT2i and ARB treatment in diabetic mice.

TL;DR: In this article, the authors conducted single-cell RNA sequencing to profile the kidney cell transcriptome of db/db mice treated with vehicle, ARBs, SGLT2i, or ARBs plus SGLTs 2 inhibitors, using db/m mice as control.
Journal ArticleDOI

Kidney single-cell transcriptome profile reveals distinct response of proximal tubule cells to SGLT2i and ARB treatment in diabetic mice

- 01 Apr 2022 - 
TL;DR: In this paper , the authors conducted single-cell RNA sequencing to profile the kidney cell transcriptome of db/db mice treated with vehicle, ARBs, SGLT2i, or ARBs plus SGLTs 2 inhibitors, using db/m mice as control.
References
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Journal ArticleDOI

Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

TL;DR: This work presents DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates, which enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression.
Journal ArticleDOI

HTSeq—a Python framework to work with high-throughput sequencing data

TL;DR: This work presents HTSeq, a Python library to facilitate the rapid development of custom scripts for high-throughput sequencing data analysis, and presents htseq-count, a tool developed with HTSequ that preprocesses RNA-Seq data for differential expression analysis by counting the overlap of reads with genes.
Journal ArticleDOI

Differential expression analysis for sequence count data.

Simon Anders, +1 more
- 27 Oct 2010 - 
TL;DR: A method based on the negative binomial distribution, with variance and mean linked by local regression, is proposed and an implementation, DESeq, as an R/Bioconductor package is presented.
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TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions

TL;DR: TopHat2 is described, which incorporates many significant enhancements to TopHat, and combines the ability to identify novel splice sites with direct mapping to known transcripts, producing sensitive and accurate alignments, even for highly repetitive genomes or in the presence of pseudogenes.
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Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration

TL;DR: The Integrative Genomics Viewer (IGV) is a high-performance viewer that efficiently handles large heterogeneous data sets, while providing a smooth and intuitive user experience at all levels of genome resolution.
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