Multifaceted Transcriptional Network of Estrogen-Related Receptor Alpha in Health and Disease

Estrogen-related receptors (ERRα, β and γ in mammals) are orphan members of the nuclear receptor superfamily acting as transcription factors. ERRs are expressed in several cell types and they display various functions in normal and pathological contexts. Amongst others, they are notably involved in...

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Bibliographic Details
Published in:International journal of molecular sciences 2023-03, Vol.24 (5), p.4265
Main Authors: Cerutti, Catherine, Shi, Jing-Ru, Vanacker, Jean-Marc
Format: Article
Language:English
Subjects:
Animals
Bone turnover
Breast cancer
cancer
Combinatorial analysis
DNA binding proteins
Energy metabolism
ERRalpha Estrogen-Related Receptor
Estrogen
Estrogens
Gene expression
Gene Expression Regulation
Gene regulation
Gene Regulatory Networks
Genes
Genetic aspects
Genetic transcription
Homeostasis
Humans
Life Sciences
Ligands
Mammals - metabolism
Metabolism
nuclear receptor
Nuclear receptors
Phenols
Phenotypes
Physiological aspects
Proteins
Receptors, Estrogen - metabolism
Recruitment
regulatory network
Review
target gene
Thyroid gland
Transcription factors
Transcription Factors - metabolism
transcriptional regulator
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Summary:Estrogen-related receptors (ERRα, β and γ in mammals) are orphan members of the nuclear receptor superfamily acting as transcription factors. ERRs are expressed in several cell types and they display various functions in normal and pathological contexts. Amongst others, they are notably involved in bone homeostasis, energy metabolism and cancer progression. In contrast to other nuclear receptors, the activities of the ERRs are apparently not controlled by a natural ligand but they rely on other means such as the availability of transcriptional co-regulators. Here we focus on ERRα and review the variety of co-regulators that have been identified by various means for this receptor and their reported target genes. ERRα cooperates with distinct co-regulators to control the expression of distinct sets of target genes. This exemplifies the combinatorial specificity of transcriptional regulation that induces discrete cellular phenotypes depending on the selected coregulator. We finally propose an integrated view of the ERRα transcriptional network.
ISSN:1422-0067
1661-6596
1422-0067
DOI:10.3390/ijms24054265