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Many transcription coactivators interact with nuclear receptors in a ligand- and C-terminal transactivation function (AF2)-dependent manner. We isolated a nuclear factor (designated ASC-2) with such properties by using the ligand-binding domain of retinoid X receptor as a bait in a yeast two-hybrid screening. ASC-2 also interacted with other nuclear receptors, including retinoic acid receptor, thyroid hormone receptor, estrogen receptor alpha, and glucocorticoid receptor, basal factors TFIIA and TBP, and transcription integrators CBP/p300 and SRC-1. In transient cotransfections, ASC-2, either alone or in conjunction with CBP/p300 and SRC-1, stimulated ligand-dependent transactivation by wild type nuclear receptors but not mutant receptors lacking the AF2 domain. Consistent with an idea that ASC-2 is essential for the nuclear receptor function in vivo, microinjection of anti-ASC-2 antibody abrogated the ligand-dependent transactivation of retinoic acid receptor, and this repression was fully relieved by coinjection of ASC-2-expression vector. Surprisingly, ASC-2 was identical to a gene previously identified during a search for genes amplified and overexpressed in breast and other human cancers. From these results, we concluded that ASC-2 is a bona fide transcription coactivator molecule of nuclear receptors, and its altered expression may contribute to the development of cancers.
Receptors, Cytoplasmic and Nuclear - genetics - metabolism - physiology, Recombinant Fusion Proteins - genetics - metabolism, Xenopus, Recombinant Fusion Proteins, Molecular Sequence Data, Nuclear Receptor Coactivators, Oocytes - metabolism, Gene Expression, Receptors, Cytoplasmic and Nuclear, Ligands, Nuclear Proteins - genetics - metabolism, Transcription Factors - genetics - metabolism - physiology, Nuclear Receptor Coactivator 1, Two-Hybrid System Techniques, Neoplasms, Receptors, Tumor Cells, Cultured, Animals, Humans, Amino Acid Sequence, Cloning, Molecular, Histone Acetyltransferases, Cytoplasmic and Nuclear - genetics - metabolism - physiology, Neoplastic, Cultured, Transcriptional Activation - genetics, Gene Amplification, Intracellular Signaling Peptides and Proteins, Molecular, Nuclear Proteins, Trans-Activators - genetics - metabolism - physiology, Tumor Cells, Gene Expression Regulation, Neoplastic, Gene Expression Regulation, Oocytes, Neoplasms - genetics, Sequence Alignment, Cloning, Protein Binding
Receptors, Cytoplasmic and Nuclear - genetics - metabolism - physiology, Recombinant Fusion Proteins - genetics - metabolism, Xenopus, Recombinant Fusion Proteins, Molecular Sequence Data, Nuclear Receptor Coactivators, Oocytes - metabolism, Gene Expression, Receptors, Cytoplasmic and Nuclear, Ligands, Nuclear Proteins - genetics - metabolism, Transcription Factors - genetics - metabolism - physiology, Nuclear Receptor Coactivator 1, Two-Hybrid System Techniques, Neoplasms, Receptors, Tumor Cells, Cultured, Animals, Humans, Amino Acid Sequence, Cloning, Molecular, Histone Acetyltransferases, Cytoplasmic and Nuclear - genetics - metabolism - physiology, Neoplastic, Cultured, Transcriptional Activation - genetics, Gene Amplification, Intracellular Signaling Peptides and Proteins, Molecular, Nuclear Proteins, Trans-Activators - genetics - metabolism - physiology, Tumor Cells, Gene Expression Regulation, Neoplastic, Gene Expression Regulation, Oocytes, Neoplasms - genetics, Sequence Alignment, Cloning, Protein Binding
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 200 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |