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Spatially Compact Arrangement of Larval Zebrafish Sections for Spatial Transcriptomic Analysis
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Dissecting mammalian reproduction with spatial transcriptomics.

Xin Zhang1,2, Qiqi Cao1,2, Shreya Rajachandran1,2

  • 1Cecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA.

Human Reproduction Update
|June 24, 2023
PubMed
Summary
This summary is machine-generated.

Spatial omics technologies reveal novel biological insights into mammalian reproduction by preserving cellular context. This review updates reproductive biologists and clinicians on spatial transcriptomics (ST) applications and future directions.

Keywords:
cancerembryogenesisgametogenesispregnancyreproductionspatial transcriptomics

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Area of Science:

  • Reproductive biology and medicine
  • Genomics and molecular biology
  • Biotechnology

Background:

  • Mammalian reproduction relies on gamete fusion and embryonic development within a specialized environment.
  • Understanding reproductive systems requires knowledge of cell types, cell-cell interactions, and gene regulation.
  • Single-cell omics provide cellular insights but lack spatial context, limiting understanding of tissue interactions.

Approach:

  • This review critically evaluates peer-reviewed articles and reviews on spatial omics and transcriptomics in reproduction.
  • PubMed searches utilized keywords like 'spatial omics,' 'fertility,' 'gametogenesis,' and 'embryogenesis' up to April 2023.
  • The review provides an overview of spatial transcriptomics technologies, their advantages, and limitations.

Key Points:

  • Spatial transcriptomics (ST) reveals novel biological insights into gametogenesis, embryogenesis, and reproductive pathologies.
  • ST identifies genes with non-random spatial expression, spatially clustered interacting cell types, and unique cellular microenvironments in pathologies.
  • Challenges in applying ST to reproduction include experimental and computational hurdles, with potential solutions and future directions discussed.

Conclusions:

  • Spatial omics technologies offer significant potential for novel insights into mammalian reproduction, complementing single-cell approaches.
  • This review updates reproductive biologists and clinicians on the state-of-the-art in ST for reproductive research.
  • Adoption of cutting-edge spatial technologies can advance both basic and clinical reproductive research.