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Tissue Transplantation

Tissue Transplantation

Tissue transplantation is a significant medical procedure involving the transfer of cells, tissues, or organs from a donor to a recipient, with the primary aim of restoring lost functions. This procedure is crucial in treating a broad spectrum of diseases, including kidney diseases, liver failure, heart disease, and certain types of cancers.
The Biology of Tissue Transplantation
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Updated: Aug 15, 2025

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

The Utility of Spatial Transcriptomics for Solid Organ Transplantation.

Jennifer S Y Li^1,2, Arti M Raghubar^3,4,5,6,7, Nicholas A Matigian⁸

¹Centre for Transplant and Renal Research, Westmead Institute for Medical Research, Westmead, NSW, Australia.

Transplantation

|December 30, 2022

Summary

This summary is machine-generated.

Spatial transcriptomics (ST) maps gene activity in tissues. This review covers advances in sequencing-based ST, its applications in organ transplantation, and data interpretation challenges.

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Area of Science:

Genomics and Molecular Biology
Bioinformatics and Computational Biology

Background:

Spatial transcriptomics (ST) enables visualization of gene expression within the spatial context of tissues.
Understanding gene activity in situ is crucial for deciphering complex biological systems and disease mechanisms.

Approach:

This review focuses on advances in in situ sequencing-based spatial transcriptomics technologies.
It details the experimental workflows and analytical pipelines essential for current ST platforms.
Applications in organ transplantation and related non-transplant settings are highlighted.

Key Points:

In situ sequencing offers novel insights into tissue architecture and cellular interactions.
ST applications are expanding, particularly in understanding organ transplant rejection and tolerance.
Interpreting the large datasets generated by ST requires careful consideration of technical limitations.

Conclusions:

Spatial transcriptomics is a rapidly evolving field with significant potential to advance biological research, especially in transplantation.
Further development and standardization of ST methods are needed to fully harness its capabilities.
Awareness of the caveats and limitations is critical for accurate interpretation of ST data.