Abstract

Chondrocyte differentiation controls skeleton development and stature. Here we provide a comprehensive map of chondrocyte-specific enhancers and show that they provide a mechanistic framework through which non-coding genetic variants can influence skeletal development and human stature. Working with fetal chondrocytes isolated from mice bearing a Col2a1 fluorescent regulatory sensor, we identify 780 genes and 2'704 putative enhancers specifically active in chondrocytes using a combination of RNA-seq, ATAC-seq and H3K27ac ChIP-seq. Most of these enhancers (74%) show pan-chondrogenic activity, with smaller populations being restricted to limb (18%) or trunk (8%) chondrocytes only. Notably, genetic variations overlapping these enhancers better explain height differences than those overlapping non-chondrogenic enhancers. Finally, targeted deletions of identified enhancers at the Fgfr3, Col2a1, Hhip and, Nkx3-2 loci confirm their role in regulating cognate genes. This enhancer map provides a framework for understanding how genes and non-coding variations influence bone development and diseases.

Chondrocyte differentiation controls skeleton development and stature. Here, the authors map mouse fetal chondrocyte enhancers, highlighting their role in controlling bone genes and connecting stature to non-coding variants overlapping these enhancers.

Details

Title
Pre-hypertrophic chondrogenic enhancer landscape of limb and axial skeleton development
Author
Darbellay, Fabrice 1   VIAFID ORCID Logo  ; Ramisch, Anna 2   VIAFID ORCID Logo  ; Lopez-Delisle, Lucille 3   VIAFID ORCID Logo  ; Kosicki, Michael 4 ; Rauseo, Antonella 5 ; Jouini, Zahra 5   VIAFID ORCID Logo  ; Visel, Axel 6   VIAFID ORCID Logo  ; Andrey, Guillaume 5   VIAFID ORCID Logo 

 University of Geneva, Department of Genetic Medicine and Development, Faculty of Medicine, Geneva, Switzerland (GRID:grid.8591.5) (ISNI:0000 0001 2175 2154); University of Geneva, Institute of Genetics and Genomics in Geneva (iGE3), Geneva, Switzerland (GRID:grid.8591.5) (ISNI:0000 0001 2175 2154); Lawrence Berkeley Laboratory, Environmental Genomics and Systems Biology Division, Berkeley, USA (GRID:grid.184769.5) (ISNI:0000 0001 2231 4551) 
 University of Geneva, Department of Basic Neurosciences, Faculty of Medicine, Geneva, Switzerland (GRID:grid.8591.5) (ISNI:0000 0001 2175 2154) 
 Ecole Polytechnique Fédérale de Lausanne (EPFL), School of Life Sciences, Lausanne, Switzerland (GRID:grid.5333.6) (ISNI:0000 0001 2183 9049) 
 Lawrence Berkeley Laboratory, Environmental Genomics and Systems Biology Division, Berkeley, USA (GRID:grid.184769.5) (ISNI:0000 0001 2231 4551) 
 University of Geneva, Department of Genetic Medicine and Development, Faculty of Medicine, Geneva, Switzerland (GRID:grid.8591.5) (ISNI:0000 0001 2175 2154); University of Geneva, Institute of Genetics and Genomics in Geneva (iGE3), Geneva, Switzerland (GRID:grid.8591.5) (ISNI:0000 0001 2175 2154) 
 Lawrence Berkeley Laboratory, Environmental Genomics and Systems Biology Division, Berkeley, USA (GRID:grid.184769.5) (ISNI:0000 0001 2231 4551); Lawrence Berkeley Laboratory, U.S. Department of Energy Joint Genome Institute, Berkeley, USA (GRID:grid.451309.a) (ISNI:0000 0004 0449 479X); University of California, School of Natural Sciences, Merced, USA (GRID:grid.266096.d) (ISNI:0000 0001 0049 1282) 
Pages
4820
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3065122910
Copyright
© The Author(s) 2024. corrected publication 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.