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Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue

Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue

Published on: June 9, 2020

Refining transcriptional programs in kidney development by integration of deep RNA-sequencing and array-based spatial

Rathi D Thiagarajan¹, Nicole Cloonan, Brooke B Gardiner

¹Institute for Molecular Bioscience, The University of Queensland, St, Lucia QLD 4072, Australia. rathi@scripps.edu

|September 6, 2011

Summary

This study reveals the full transcriptional complexity of mouse kidney development using deep RNA sequencing. New insights into alternative splicing and non-coding RNAs advance our understanding of organogenesis.

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Last Updated: May 29, 2026

Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue

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Nuclei Isolation from Adult Mouse Kidney for Single-Nucleus RNA-Sequencing

Nuclei Isolation from Adult Mouse Kidney for Single-Nucleus RNA-Sequencing

Published on: September 20, 2021

Area of Science:

Developmental Biology
Genomics
Transcriptomics

Background:

The developing mouse kidney is a well-studied model for organogenesis.
Previous studies mapped gene expression but missed transcriptional complexity due to technology limitations.

Purpose of the Study:

To comprehensively profile the mouse kidney transcriptome using deep RNA sequencing.
To capture a more complete picture of transcriptional complexity beyond gene-centric models.

Main Methods:

Strand-specific RNA sequencing (RNA-Seq) of 15.5 days post-coitum (dpc) mouse kidney.
Cataloging polyadenylated RNA and microRNA transcriptomes.
Validating findings with in situ hybridization.

Main Results:

Identified 3568 alternatively spliced transcripts and 532 uncharacterized alternate 3' UTRs.
Detected antisense expression for 60% of RefSeq genes, including non-coding transcripts near kidney progenitor markers.
Found enrichment of non-coding antisense transcripts in genes involved in kidney development.

Conclusions:

Deep RNA sequencing refines transcriptomic maps of kidney organogenesis.
Facilitates a shift from gene-centric to transcript-centric models for understanding development.
Highlights the extensive transcriptional complexity governing organ development.