Literature DB >> 35301441

Mapping the human kidney using single-cell genomics.

Felix Schreibing1,2, Rafael Kramann3,4,5.   

Abstract

The field of single-cell genomics and spatial technologies is rapidly evolving and has already provided unprecedented insights into complex tissues. Major advances have been made in dissecting the cellular composition and spatiotemporal interactions that mediate developmental processes in the fetal kidney. Single-cell technologies have also provided detailed insights into the heterogeneity of cell types within the healthy adult and shed light on the complex cellular mechanisms that contribute to kidney disease. The in-depth characterization of specific cell types associated with acute kidney injury and glomerular diseases has potential for the development of prognostic biomarkers and new therapeutics. Analyses of pathway activity in clear-cell renal cell carcinoma can predict the sensitivity of tumour cells to specific inhibitors. The identification of the cell of origin of renal cell carcinoma and of new cell types within the tumour microenvironment also has implications for the development of targeted therapeutics. Similarly, single-cell sequencing has provided new insights into the mechanisms underlying kidney fibrosis, specifically our understanding of myofibroblast origins and the contribution of cell crosstalk within the fibrotic niche to disease progression. These and future studies will enable the creation of a map to aid our understanding of the cellular processes and interactions in the developing, healthy and diseased kidney.
© 2022. Springer Nature Limited.

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Year:  2022        PMID: 35301441     DOI: 10.1038/s41581-022-00553-4

Source DB:  PubMed          Journal:  Nat Rev Nephrol        ISSN: 1759-5061            Impact factor:   28.314


  96 in total

1.  A genomic sequencing protocol that yields a positive display of 5-methylcytosine residues in individual DNA strands.

Authors:  M Frommer; L E McDonald; D S Millar; C M Collis; F Watt; G W Grigg; P L Molloy; C L Paul
Journal:  Proc Natl Acad Sci U S A       Date:  1992-03-01       Impact factor: 11.205

2.  Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position.

Authors:  Jason D Buenrostro; Paul G Giresi; Lisa C Zaba; Howard Y Chang; William J Greenleaf
Journal:  Nat Methods       Date:  2013-10-06       Impact factor: 28.547

3.  Comprehensive mapping of long-range interactions reveals folding principles of the human genome.

Authors:  Erez Lieberman-Aiden; Nynke L van Berkum; Louise Williams; Maxim Imakaev; Tobias Ragoczy; Agnes Telling; Ido Amit; Bryan R Lajoie; Peter J Sabo; Michael O Dorschner; Richard Sandstrom; Bradley Bernstein; M A Bender; Mark Groudine; Andreas Gnirke; John Stamatoyannopoulos; Leonid A Mirny; Eric S Lander; Job Dekker
Journal:  Science       Date:  2009-10-09       Impact factor: 47.728

4.  mRNA-Seq whole-transcriptome analysis of a single cell.

Authors:  Fuchou Tang; Catalin Barbacioru; Yangzhou Wang; Ellen Nordman; Clarence Lee; Nanlan Xu; Xiaohui Wang; John Bodeau; Brian B Tuch; Asim Siddiqui; Kaiqin Lao; M Azim Surani
Journal:  Nat Methods       Date:  2009-04-06       Impact factor: 28.547

5.  Highly sensitive spatial transcriptomics at near-cellular resolution with Slide-seqV2.

Authors:  Robert R Stickels; Evan Murray; Evan Z Macosko; Fei Chen; Pawan Kumar; Jilong Li; Jamie L Marshall; Daniela J Di Bella; Paola Arlotta
Journal:  Nat Biotechnol       Date:  2020-12-07       Impact factor: 54.908

6.  Single-cell chromatin accessibility reveals principles of regulatory variation.

Authors:  Jason D Buenrostro; Beijing Wu; Ulrike M Litzenburger; Dave Ruff; Michael L Gonzales; Michael P Snyder; Howard Y Chang; William J Greenleaf
Journal:  Nature       Date:  2015-06-17       Impact factor: 49.962

7.  Single-cell genome-wide bisulfite sequencing for assessing epigenetic heterogeneity.

Authors:  Sébastien A Smallwood; Heather J Lee; Christof Angermueller; Felix Krueger; Heba Saadeh; Julian Peat; Simon R Andrews; Oliver Stegle; Wolf Reik; Gavin Kelsey
Journal:  Nat Methods       Date:  2014-07-20       Impact factor: 28.547

8.  Simultaneous epitope and transcriptome measurement in single cells.

Authors:  Marlon Stoeckius; Christoph Hafemeister; William Stephenson; Brian Houck-Loomis; Pratip K Chattopadhyay; Harold Swerdlow; Rahul Satija; Peter Smibert
Journal:  Nat Methods       Date:  2017-07-31       Impact factor: 28.547

9.  CUT&Tag for efficient epigenomic profiling of small samples and single cells.

Authors:  Hatice S Kaya-Okur; Steven J Wu; Christine A Codomo; Erica S Pledger; Terri D Bryson; Jorja G Henikoff; Kami Ahmad; Steven Henikoff
Journal:  Nat Commun       Date:  2019-04-29       Impact factor: 14.919

10.  Single-cell Hi-C reveals cell-to-cell variability in chromosome structure.

Authors:  Takashi Nagano; Yaniv Lubling; Tim J Stevens; Stefan Schoenfelder; Eitan Yaffe; Wendy Dean; Ernest D Laue; Amos Tanay; Peter Fraser
Journal:  Nature       Date:  2013-09-25       Impact factor: 49.962

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