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Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue
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Principles of Spatial Transcriptomics Analysis: A Practical Walk-Through in Kidney Tissue.

Teia Noel1, Qingbo S Wang2,3,4,5, Anna Greka1,6

  • 1Kidney Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, United States.

Frontiers in Physiology
|January 24, 2022
PubMed
Summary

Spatial transcriptomic technologies like Slide-seqV2 map cell types and gene expression within tissues. This review explores these methods using kidney tissue to reveal its complex cellular landscape.

Keywords:
kidney spatial transcriptomicskidney transcriptomicsslide-seqslide-seqV2spatial transcriptomics

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Area of Science:

  • Genomics
  • Bioinformatics
  • Tissue Engineering

Background:

  • Spatial transcriptomics provides genome-wide expression data across tissue space.
  • Advances like Slide-seqV2 offer near-single cell resolution for detailed spatial analysis.
  • Computational tools are crucial for interpreting spatial transcriptomic data and identifying cell types.

Purpose of the Study:

  • To review spatial transcriptomic technologies and computational approaches for cell type mapping.
  • To demonstrate the application of these technologies in complex tissues, using kidney as a model.
  • To characterize spatial cell type and gene expression patterns within the kidney.

Main Methods:

  • Review of spatial transcriptomic technologies, focusing on Slide-seqV2.
  • Discussion of computational methods for cell type deconvolution and spatial analysis.
  • Application of these methods to kidney tissue for spatial profiling.

Main Results:

  • Spatial transcriptomic technologies enable high-resolution mapping of cellular and genetic profiles in tissues.
  • Computational tools facilitate the identification and spatial characterization of distinct cell types.
  • Analysis of kidney tissue reveals complex, spatially defined cellular and genetic landscapes.

Conclusions:

  • Spatial transcriptomics, particularly with advanced tools like Slide-seqV2, is powerful for exploring tissue architecture.
  • Understanding spatial cell types and gene expression is vital for complex organs like the kidney.
  • This approach opens new avenues for dissecting tissue function and disease mechanisms.