The in vivo three-dimensional genomic architecture of adult mature neurons at homeostasis and after medically relevant perturbations such as axonal injury remains elusive. Here we address this knowledge gap by mapping the three-dimensional chromatin architecture and gene expression programme at homeostasis and after sciatic nerve injury in wild-type and cohesin-deficient mouse sensory dorsal root ganglia neurons via combinatorial Hi-C and RNA-seq. We find that cohesin is required for the full induction of the regenerative transcriptional program, by organising 3D genomic domains required for the activation of regenerative genes. Importantly, loss of cohesin results in disruption of chromatin architecture at regenerative genes and severely impaired nerve regeneration. Together, these data provide an original three-dimensional chromatin map of adult sensory neurons in vivo and demonstrate a role for cohesin-dependent chromatin interactions in neuronal regeneration.
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http://dx.doi.org/10.1101/2024.06.09.597974 | DOI Listing |
Adv Sci (Weinh)
December 2024
School of Advanced Agriculture Sciences and School of Life Sciences, Academy for Advanced Interdisciplinary Studies, State Key Laboratory of Protein and Plant Gene Research, Peking University, Beijing, 100871, China.
In eukaryotes, chromatin is compacted within nuclei under the principle of compartmentalization. On top of that, condensin II establishes eukaryotic chromosome territories, while cohesin organizes the vertebrate genome by extruding chromatin loops and forming topologically associating domains (TADs). Thus far, the formation and roles of these chromatin structures in plants remain poorly understood.
View Article and Find Full Text PDFNucleic Acids Res
December 2024
NCMIS, CEMS, RCSDS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 55 Zhongguancun East Road, Haidian District, Beijing 100190, China.
Topologically associating domains (TADs) are essential components of three-dimensional (3D) genome organization and significantly influence gene transcription regulation. However, accurately identifying TADs from sparse chromatin contact maps and exploring the structural and functional elements within TADs remain challenging. To this end, we develop TADGATE, a graph attention auto-encoder that can generate imputed maps from sparse Hi-C contact maps while adaptively preserving or enhancing the underlying topological structures, thereby facilitating TAD identification.
View Article and Find Full Text PDFGenomics Proteomics Bioinformatics
December 2024
Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Chromatin compartmentalization and epigenomic modification are crucial in cell differentiation and diseases development. However, precise mapping of chromatin compartmental patterns requires Hi-C or Micro-C data at high sequencing depth. Exploring the systematic relationship between epigenomic modifications and compartmental patterns remains challenging.
View Article and Find Full Text PDFJ Biomed Mater Res A
January 2025
Department of Bioengineering, Stanford University, Stanford, California, USA.
Osteoarthritis (OA) is a prevalen degenerative joint disease with no FDA-approved therapies that can halt or reverse its progression. Current treatments address symptoms like pain and inflammation, but not underlying disease mechanisms. OA progression is marked by increased inflammation and extracellular matrix (ECM) degradation of the joint cartilage.
View Article and Find Full Text PDFJ Chem Phys
December 2024
Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.
Sequencing-based Hi-C technology has been widely used to study the three-dimensional structure of chromatin. More recently, the development of single-cell Hi-C technology has enabled the study of chromatin structural variations between individual cells. However, single-cell Hi-C data are often highly sparse, necessitating the use of imputation algorithms to address insufficient sampling.
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