← BioTransfer GEO Dataset Finder
GEO series

RNA-sequencing reveals predominance of THRA splicing isoform 2 in developing human brain [untreated]

GSE250142 Homo sapiens Expression profiling by high throughput sequencing 8 samples Submitted 2024/09/12 Platform GPL28038
Summary
Thyroid Hormone Receptor α (THRα) is a nuclear hormone receptor for triiodothyronine (T3) that acts as a transcription factor. Depending on its splicing pattern, it may act either as a stimulator or inhibitor of gene transcription. The relative proportions of the THRα splicing isoforms (THRα1 versus THRα2) in different tissues are crucial for the outcome of transcription regulation. To date, the tissue-specific expression patterns of the two main isoforms in human cortical development have not been determined. To address this gap, we generated cortical brain organoids in vitro following the STEMdiff™ Cerebral Organoid Kit guidelines. We then generated the stranded bulk RNA-Seq dataset here presented. We employed a bioinformatics pipeline to ensure the quality of the dataset and to extract and quantify the read counts specific for our isoforms of interest. We observed a steady increase of THRα transcript in time and a strong predominance of THRα2 transcripts at all stages.
Published in
RNA Sequencing Reveals a Strong Predominance of THRA Splicing Isoform 2 in the Developing and Adult Human Brain
Graceffo E, Opitz R, Megges M et al. · International journal of molecular sciences 2024 · PMID 39337374 · doi:10.3390/ijms25189883
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE250142_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1052102 and SRA study SRP477854. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 8 more — browse all 8 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.