Understanding Kidney Development Through RNA Sequencing
Author Information
Author(s): Thiagarajan Rathi D, Cloonan Nicole, Gardiner Brooke B, Mercer Tim R, Kolle Gabriel, Nourbakhsh Ehsan, Wani Shivangi, Tang Dave, Krishnan Keerthana, Georgas Kylie M, Rumballe Bree A, Chiu Han S, Steen Jason A, Mattick John S, Little Melissa H, Grimmond Sean M
Primary Institution: Institute for Molecular Bioscience, The University of Queensland
Hypothesis
Can deep RNA sequencing and spatial profiling improve our understanding of transcriptional programs in kidney development?
Conclusion
This study refines the understanding of kidney organogenesis by integrating RNA sequencing data with existing expression atlases.
Supporting Evidence
- RNA sequencing detected 3568 alternatively spliced transcripts.
- 60% of RefSeq genes showed antisense expression.
- 12,083 active protein-coding loci were identified.
- 99.7% of transcripts from kidney subcompartments were detected.
Takeaway
Researchers used advanced sequencing techniques to learn more about how kidneys develop in mice, finding many new details about gene activity.
Methodology
The study utilized strand-specific RNA sequencing and microRNA sequencing to profile the transcriptomes of embryonic mouse kidneys.
Limitations
The study may not capture all rare transcripts due to the complexity of kidney tissue.
Participant Demographics
Embryonic mouse kidneys at 15.5 days post coitum.
Digital Object Identifier (DOI)
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