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Psychrophilic proteases dramatically reduce single-cell RNA-seq artifacts: a molecular atlas of kidney development.

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TLDR
A new method using a protease that works in the cold for cell dissociation dramatically reduces single-cell RNA-seq artifacts, allowing more accurate determination of gene expression in the newborn mouse kidney.
Abstract
Single-cell RNA-seq is a powerful technique. Nevertheless, there are important limitations, including the technical challenges of breaking down an organ or tissue into a single-cell suspension. Invariably, this has required enzymatic incubation at 37°C, which can be expected to result in artifactual changes in gene expression patterns. Here, we describe a dissociation method that uses a protease with high activity in the cold, purified from a psychrophilic microorganism. The entire procedure is carried out at 6°C or colder, at which temperature mammalian transcriptional machinery is largely inactive, thereby effectively 'freezing in' the in vivo gene expression patterns. To test this method, we carried out RNA-seq on 20,424 single cells from postnatal day 1 mouse kidneys, comparing the results of the psychrophilic protease method with procedures using 37°C incubation. We show that the cold protease method provides a great reduction in gene expression artifacts. In addition, the results produce a single-cell resolution gene expression atlas of the newborn mouse kidney, an interesting time in development when mature nephrons are present yet nephrogenesis remains extremely active.

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Journal ArticleDOI

Single-cell transcriptomics of the mouse kidney reveals potential cellular targets of kidney disease

TL;DR: It is inferred that inherited kidney diseases that arise from distinct genetic mutations but share the same phenotypic manifestation originate from the same differentiated cell type, and that the collecting duct in kidneys of adult mice generates a spectrum of cell types through a newly identified transitional cell.
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Advantages of Single-Nucleus over Single-Cell RNA Sequencing of Adult Kidney: Rare Cell Types and Novel Cell States Revealed in Fibrosis

TL;DR: In this article, the authors compared single-cell RNA sequencing (scRNA-seq) using the DropSeq platform with single-nucleus RNA sequencing using sNuc-DropSeq, DroNc-seq, and 10X Chromium platforms on adult mouse kidney.
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Comparative Analysis and Refinement of Human PSC-Derived Kidney Organoid Differentiation with Single-Cell Transcriptomics

TL;DR: Brain-derived neurotrophic factor and its cognate receptor NTRK2 were expressed in the neuronal lineage during organoid differentiation, andhibiting this pathway improved organoid formation by reducing neurons by 90% without affecting kidney differentiation, highlighting the power of single-cell technologies to characterize and improve organoids differentiation.
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High-Throughput Screening Enhances Kidney Organoid Differentiation From Human Pluripotent Stem Cells and Enables Automated Multidimensional Phenotyping

TL;DR: A fully automated, HTS-compatible platform for enhanced differentiation and phenotyping of human kidney organoids that reveals an unexpected role for myosin in polycystic kidney disease and establishes an attractive platform for multidimensional phenotypic screening.
References
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Journal ArticleDOI

Genome-wide atlas of gene expression in the adult mouse brain

Ed S. Lein, +109 more
- 11 Jan 2007 - 
TL;DR: An anatomically comprehensive digital atlas containing the expression patterns of ∼20,000 genes in the adult mouse brain is described, providing an open, primary data resource for a wide variety of further studies concerning brain organization and function.
Journal ArticleDOI

DEGseq: an R package for identifying differentially expressed genes from RNA-seq data

TL;DR: DGseq, an R package to identify differentially expressed genes or isoforms for RNA-seq data from different samples is presented, integrated three existing methods, and introduced two novel methods based on MA-plot to detect and visualize gene expression difference.
Journal ArticleDOI

Droplet Barcoding for Single-Cell Transcriptomics Applied to Embryonic Stem Cells

TL;DR: This work has developed a high-throughput droplet-microfluidic approach for barcoding the RNA from thousands of individual cells for subsequent analysis by next-generation sequencing, which shows a surprisingly low noise profile and is readily adaptable to other sequencing-based assays.
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