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Related Concept Videos

Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Culturing and Measuring Fetal and Newborn Murine Long Bones
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Multi-omics analysis in developmental bone biology.

Yuki Matsushita1, Azumi Noguchi1, Wanida Ono2

  • 1Department of Cell Biology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki 852-8588, Japan.

The Japanese Dental Science Review
|November 29, 2023
PubMed
Summary

Single-cell multi-omics reveal diverse skeletal stem cells in bone, advancing our understanding of bone growth and regeneration. These advanced techniques map cellular interactions within bone tissue.

Keywords:
Bone marrow stromal cells (BMSCs)In vivo lineage-tracingMulti-omicsSingle-cell RNA-sequencing (scRNA-seq)Single-nuclei ATAC-sequencing (snATAC-seq)Skeletal stem cells (SSCs)

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Area of Science:

  • Bone Biology
  • Cellular and Molecular Biology
  • Stem Cell Research

Background:

  • Single-cell omics and multi-omics have transformed the study of cellular processes.
  • These technologies enable detailed analysis of molecular and cellular events at the individual cell level.
  • Understanding skeletal cell dynamics is crucial for bone biology research.

Purpose of the Study:

  • To explore the multi-cellular diversity and dynamics of skeletal cells using advanced omics techniques.
  • To identify novel skeletal stem cell subtypes and their niches.
  • To investigate the role of these cells in bone growth and regeneration.

Main Methods:

  • Single-cell RNA-sequencing (scRNA-seq) combined with in vivo lineage tracing.
  • Single-cell multi-omics measuring gene expression and chromatin accessibility.
  • Computational prediction of cell differentiation potential.
  • Histological validation of computational predictions.
  • Emerging spatial omics technologies like spatial transcriptomics and epigenomics.

Main Results:

  • Identification of multi-cellular diversity and dynamics within skeletal cells.
  • Establishment of a new concept: bone growth and regeneration are regulated by multiple skeletal stem cell types in distinct niches.
  • Discovery of endosteal stem cells, particularly abundant in young bone marrow.
  • Demonstration of single-cell multi-omics' capability to predict cell states and differentiation potential.
  • Highlighting the advantage of spatial omics in preserving cellular location within tissue architecture.

Conclusions:

  • Single-cell multi-omics are essential for unraveling complex multicellular dynamics and intercellular interactions in skeletal cells.
  • These technologies provide unprecedented insights into bone biology, stem cell behavior, and tissue regeneration.
  • The integration of various omics approaches, including spatial omics, is key to advancing skeletal research.