scispace - formally typeset
Search or ask a question
Topic

Transcription factor

About: Transcription factor is a research topic. Over the lifetime, 82881 publications have been published within this topic receiving 5400448 citations. The topic is also known as: transcription factors.


Papers
More filters
Journal ArticleDOI
29 May 1998-Cell
TL;DR: The phenotypes of the mice demonstrate an essential, and often redundant, role for the two Stat5 proteins in a spectrum of physiological responses associated with growth hormone and prolactin.

1,298 citations

Journal ArticleDOI
02 Dec 1988-Cell
TL;DR: Drosophila tissue culture cells provide an Sp1-deficient background and have been used in a complementation assay to identify functional domains of human transcription factor Sp1, and it is proposed that these glutamine-rich domains represent a novel structural motif for transcriptional activation.

1,295 citations

Journal ArticleDOI
TL;DR: In this paper, the c-Myc oncogenic transcription factor (Myc) is pathologically activated in many human malignancies and the predominant consequence of activation of Myc is widespread repression of miRNA expression.
Abstract: The c-Myc oncogenic transcription factor (Myc) is pathologically activated in many human malignancies. Myc is known to directly upregulate a pro-tumorigenic group of microRNAs (miRNAs) known as the miR-17-92 cluster. Through the analysis of human and mouse models of B cell lymphoma, we show here that Myc regulates a much broader set of miRNAs than previously anticipated. Unexpectedly, the predominant consequence of activation of Myc is widespread repression of miRNA expression. Chromatin immunoprecipitation reveals that much of this repression is likely to be a direct result of Myc binding to miRNA promoters. We further show that enforced expression of repressed miRNAs diminishes the tumorigenic potential of lymphoma cells. These results demonstrate that extensive reprogramming of the miRNA transcriptome by Myc contributes to tumorigenesis.

1,292 citations

Journal ArticleDOI
TL;DR: The activity of the Ras-Raf-MEK-ERK cascade is increased in about one-third of all human cancers, and inhibition of components of this cascade by targeted inhibitors represents an important anti-tumor strategy.

1,290 citations

Journal ArticleDOI
TL;DR: The Myc/Max/Mad network comprises a group of transcription factors whose distinct interactions result in gene-specific transcriptional activation or repression and can be viewed as a functional module which acts to convert environmental signals into specific gene-regulatory programs.
Abstract: The Myc/Max/Mad network comprises a group of transcription factors whose distinct interactions result in gene-specific transcriptional activation or repression. A great deal of research indicates that the functions of the network play roles in cell proliferation, differentiation, and death. In this review we focus on the Myc and Mad protein families and attempt to relate their biological functions to their transcriptional activities and gene targets. Both Myc and Mad, as well as the more recently described Mnt and Mga proteins, form heterodimers with Max, permitting binding to specific DNA sequences. These DNA-bound heterodimers recruit coactivator or corepressor complexes that generate alterations in chromatin structure, which in turn modulate transcription. Initial identification of target genes suggests that the network regulates genes involved in the cell cycle, growth, life span, and morphology. Because Myc and Mad proteins are expressed in response to diverse signaling pathways, the network can be viewed as a functional module which acts to convert environmental signals into specific gene-regulatory programs.

1,288 citations


Network Information
Related Topics (5)
Regulation of gene expression
85.4K papers, 5.8M citations
98% related
Signal transduction
122.6K papers, 8.2M citations
96% related
Gene expression
113.3K papers, 5.5M citations
96% related
Cellular differentiation
90.9K papers, 6M citations
94% related
Protein kinase A
68.4K papers, 3.9M citations
94% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20234,678
20226,545
20213,663
20203,530
20193,362
20183,288