An Atlas of Thyroid Hormone Receptors' Target Genes in Mouse Tissues.
Yanis ZekriRomain GuyotFrédéric FlamantPublished in: International journal of molecular sciences (2022)
We gathered available RNA-seq and ChIP-seq data in a single database to better characterize the target genes of thyroid hormone receptors in several cell types. This database can serve as a resource to analyze the mode of action of thyroid hormone (T3). Additionally, it is an easy-to-use and convenient tool to obtain information on specific genes regarding T3 regulation or to extract large gene lists of interest according to the users' criteria. Overall, this atlas is a unique compilation of recent sequencing data focusing on T3, its receptors, modes of action, targets and roles, which may benefit researchers within the field. A preliminary analysis indicates extensive variations in the repertoire of target genes where transcription is upregulated by chromatin-bound nuclear receptors. Although it has a major influence, chromatin accessibility is not the only parameter that determines the cellular selectivity of the hormonal response.
Keyphrases
- single cell
- genome wide
- rna seq
- genome wide identification
- dna methylation
- transcription factor
- high throughput
- gene expression
- bioinformatics analysis
- copy number
- electronic health record
- genome wide analysis
- healthcare
- type diabetes
- big data
- adverse drug
- oxidative stress
- stem cells
- mesenchymal stem cells
- machine learning
- polycystic ovary syndrome
- circulating tumor cells
- bone marrow
- artificial intelligence
- deep learning