Literature DB >> 35383123

Single-Cell Chromatin and Gene-Regulatory Dynamics of Mouse Nephron Progenitors.

Sylvia Hilliard1, Giovane Tortelote1, Hongbing Liu1, Chao-Hui Chen1, Samir S El-Dahr2.   

Abstract

BACKGROUND: We reasoned that unraveling the dynamic changes in accessibility of genomic regulatory elements and gene expression at single-cell resolution will inform the basic mechanisms of nephrogenesis.
METHODS: We performed single-cell ATAC-seq and RNA-seq both individually (singleomes; Six2GFP cells) and jointly in the same cells (multiomes; kidneys) to generate integrated chromatin and transcriptional maps in mouse embryonic and neonatal nephron progenitor cells.
RESULTS: We demonstrate that singleomes and multiomes are comparable in assigning most cell states, identification of new cell type markers, and defining the transcription factors driving cell identity. However, multiomes are more precise in defining the progenitor population. Multiomes identified a "pioneer" bHLH/Fox motif signature in nephron progenitor cells. Moreover, we identified a subset of Fox factors exhibiting high chromatin activity in podocytes. One of these Fox factors, Foxp1, is important for nephrogenesis. Key nephrogenic factors are distinguished by strong correlation between linked gene regulatory elements and gene expression.
CONCLUSION: Mapping the regulatory landscape at single-cell resolution informs the regulatory hierarchy of nephrogenesis. Paired single-cell epigenomes and transcriptomes of nephron progenitors should provide a foundation to understand prenatal programming, regeneration after injury, and ex vivo nephrogenesis.
Copyright © 2022 by the American Society of Nephrology.

Entities:  

Keywords:  chromatin; epigenetic; genetics and development; kidney development; mice; nephrons; regulator genes; renal development; renal stem cell; single-cell

Mesh:

Substances:

Year:  2022        PMID: 35383123      PMCID: PMC9257825          DOI: 10.1681/ASN.2021091213

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   14.978


  58 in total

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Review 2.  The critical role of Krüppel-like factors in kidney disease.

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Journal:  Am J Physiol Renal Physiol       Date:  2016-11-16

3.  JASPAR 2018: update of the open-access database of transcription factor binding profiles and its web framework.

Authors:  Aziz Khan; Oriol Fornes; Arnaud Stigliani; Marius Gheorghe; Jaime A Castro-Mondragon; Robin van der Lee; Adrien Bessy; Jeanne Chèneby; Shubhada R Kulkarni; Ge Tan; Damir Baranasic; David J Arenillas; Albin Sandelin; Klaas Vandepoele; Boris Lenhard; Benoît Ballester; Wyeth W Wasserman; François Parcy; Anthony Mathelier
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

4.  Transcription factor Foxp1 regulates Foxp3 chromatin binding and coordinates regulatory T cell function.

Authors:  Catherine Konopacki; Yuri Pritykin; Yury Rubtsov; Christina S Leslie; Alexander Y Rudensky
Journal:  Nat Immunol       Date:  2019-01-14       Impact factor: 25.606

5.  Role for compartmentalization in nephron progenitor differentiation.

Authors:  Aaron C Brown; Sree Deepthi Muthukrishnan; Justin A Guay; Derek C Adams; Dillon A Schafer; Jennifer L Fetting; Leif Oxburgh
Journal:  Proc Natl Acad Sci U S A       Date:  2013-03-04       Impact factor: 11.205

6.  Six2 defines and regulates a multipotent self-renewing nephron progenitor population throughout mammalian kidney development.

Authors:  Akio Kobayashi; M Todd Valerius; Joshua W Mugford; Thomas J Carroll; Michelle Self; Guillermo Oliver; Andrew P McMahon
Journal:  Cell Stem Cell       Date:  2008-08-07       Impact factor: 24.633

7.  Hnf4a Is Required for the Development of Cdh6-Expressing Progenitors into Proximal Tubules in the Mouse Kidney.

Authors:  Sierra S Marable; Eunah Chung; Joo-Seop Park
Journal:  J Am Soc Nephrol       Date:  2020-08-06       Impact factor: 10.121

8.  chromVAR: inferring transcription-factor-associated accessibility from single-cell epigenomic data.

Authors:  Alicia N Schep; Beijing Wu; Jason D Buenrostro; William J Greenleaf
Journal:  Nat Methods       Date:  2017-08-21       Impact factor: 28.547

9.  ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis.

Authors:  Jeffrey M Granja; M Ryan Corces; Sarah E Pierce; S Tansu Bagdatli; Hani Choudhry; Howard Y Chang; William J Greenleaf
Journal:  Nat Genet       Date:  2021-02-25       Impact factor: 41.307

10.  Whole-exome sequencing in the molecular diagnosis of individuals with congenital anomalies of the kidney and urinary tract and identification of a new causative gene.

Authors:  Mir Reza Bekheirnia; Nasim Bekheirnia; Matthew N Bainbridge; Shen Gu; Zeynep Hande Coban Akdemir; Tomek Gambin; Nicolette K Janzen; Shalini N Jhangiani; Donna M Muzny; Mini Michael; Eileen D Brewer; Ewa Elenberg; Arundhati S Kale; Alyssa A Riley; Sarah J Swartz; Daryl A Scott; Yaping Yang; Poyyapakkam R Srivaths; Scott E Wenderfer; Joann Bodurtha; Carolyn D Applegate; Milen Velinov; Angela Myers; Lior Borovik; William J Craigen; Neil A Hanchard; Jill A Rosenfeld; Richard Alan Lewis; Edmond T Gonzales; Richard A Gibbs; John W Belmont; David R Roth; Christine Eng; Michael C Braun; James R Lupski; Dolores J Lamb
Journal:  Genet Med       Date:  2016-09-22       Impact factor: 8.822

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