Transcription Factors and Regulation of Gene Expression

2011 ◽  
Keyword(s):  
Gene Expression ◽  
Transcription Factors ◽  
Regulation Of Gene Expression

scholarly journals Transcription Factors as the “Blitzkrieg” of Plant Defense: A Pragmatic View of Nitric Oxide’s Role in Gene Regulation

2021 ◽  
Vol 22 (2) ◽  
pp. 522
Author(s):  
Noreen Falak ◽  
Qari Muhammad Imran ◽  
Adil Hussain ◽  
Byung-Wook Yun
Keyword(s):  
Gene Expression ◽  
Transcription Factors ◽  
Plant Defense ◽  
Systemic Acquired Resistance ◽  
Defense Mechanism ◽  
Regulation Of Gene Expression ◽  
Acquired Resistance ◽  
Biological Processes ◽  
Genetic Components ◽  
Transcriptional Changes

Plants are in continuous conflict with the environmental constraints and their sessile nature demands a fine-tuned, well-designed defense mechanism that can cope with a multitude of biotic and abiotic assaults. Therefore, plants have developed innate immunity, R-gene-mediated resistance, and systemic acquired resistance to ensure their survival. Transcription factors (TFs) are among the most important genetic components for the regulation of gene expression and several other biological processes. They bind to specific sequences in the DNA called transcription factor binding sites (TFBSs) that are present in the regulatory regions of genes. Depending on the environmental conditions, TFs can either enhance or suppress transcriptional processes. In the last couple of decades, nitric oxide (NO) emerged as a crucial molecule for signaling and regulating biological processes. Here, we have overviewed the plant defense system, the role of TFs in mediating the defense response, and that how NO can manipulate transcriptional changes including direct post-translational modifications of TFs. We also propose that NO might regulate gene expression by regulating the recruitment of RNA polymerase during transcription.

scholarly journals Interplay between cofactors and transcription factors in hematopoiesis and hematological malignancies

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Zi Wang ◽  
Pan Wang ◽  
Yanan Li ◽  
Hongling Peng ◽  
Yu Zhu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Transcription Factors ◽  
Hematological Malignancies ◽  
Current Knowledge ◽  
Regulation Of Gene Expression ◽  
Hematologic Disorders ◽  
Cell Lineages ◽  
Stage Of Development ◽  
Transcription Complexes ◽  
Insight Into

AbstractHematopoiesis requires finely tuned regulation of gene expression at each stage of development. The regulation of gene transcription involves not only individual transcription factors (TFs) but also transcription complexes (TCs) composed of transcription factor(s) and multisubunit cofactors. In their normal compositions, TCs orchestrate lineage-specific patterns of gene expression and ensure the production of the correct proportions of individual cell lineages during hematopoiesis. The integration of posttranslational and conformational modifications in the chromatin landscape, nucleosomes, histones and interacting components via the cofactor–TF interplay is critical to optimal TF activity. Mutations or translocations of cofactor genes are expected to alter cofactor–TF interactions, which may be causative for the pathogenesis of various hematologic disorders. Blocking TF oncogenic activity in hematologic disorders through targeting cofactors in aberrant complexes has been an exciting therapeutic strategy. In this review, we summarize the current knowledge regarding the models and functions of cofactor–TF interplay in physiological hematopoiesis and highlight their implications in the etiology of hematological malignancies. This review presents a deep insight into the physiological and pathological implications of transcription machinery in the blood system.

scholarly journals Minireview: Transcriptional Regulation in Development of Bone

Endocrinology ◽  
2005 ◽  
Vol 146 (3) ◽  
pp. 1012-1017 ◽  
Author(s):  
Tatsuya Kobayashi ◽  
Henry Kronenberg
Keyword(s):  
Gene Expression ◽  
Transcriptional Regulation ◽  
Transcription Factors ◽  
Bone Cells ◽  
Genetic Manipulation ◽  
Bone Development ◽  
Regulation Of Gene Expression ◽  
Bone Cell ◽  
Cellular Functions ◽  
Multiple Differentiation

Regulation of gene expression by transcription factors is one of the major mechanisms for controlling cellular functions. Recent advances in genetic manipulation of model animals has allowed the study of the roles of various genes and their products in physiological settings and has demonstrated the importance of specific transcription factors in bone development. Three lineages of bone cells, chondrocytes, osteoblasts, and osteoclasts, develop and differentiate according to their distinct developmental programs. These cells go through multiple differentiation stages, which are often regulated by specific transcription factors. In this minireview, we will discuss selected transcription factors that have been demonstrated to critically affect bone cell development. Further study of these molecules will lead to deeper understanding in mechanisms that govern development of bone.

scholarly journals Identifying genetic modulators of the connectivity between transcription factors and their transcriptional targets

2016 ◽  
Vol 113 (13) ◽  
pp. E1835-E1843 ◽  
Author(s):  
Mina Fazlollahi ◽  
Ivor Muroff ◽  
Eunjee Lee ◽  
Helen C. Causton ◽  
Harmen J. Bussemaker
Keyword(s):  
Gene Expression ◽  
Transcription Factors ◽  
Gene Regulatory Networks ◽  
Regulatory Networks ◽  
Target Genes ◽  
Regulation Of Gene Expression ◽  
Nonsynonymous Mutation ◽  
Gene Regulatory ◽  
Genetic Modulators

Regulation of gene expression by transcription factors (TFs) is highly dependent on genetic background and interactions with cofactors. Identifying specific context factors is a major challenge that requires new approaches. Here we show that exploiting natural variation is a potent strategy for probing functional interactions within gene regulatory networks. We developed an algorithm to identify genetic polymorphisms that modulate the regulatory connectivity between specific transcription factors and their target genes in vivo. As a proof of principle, we mapped connectivity quantitative trait loci (cQTLs) using parallel genotype and gene expression data for segregants from a cross between two strains of the yeast Saccharomyces cerevisiae. We identified a nonsynonymous mutation in the DIG2 gene as a cQTL for the transcription factor Ste12p and confirmed this prediction empirically. We also identified three polymorphisms in TAF13 as putative modulators of regulation by Gcn4p. Our method has potential for revealing how genetic differences among individuals influence gene regulatory networks in any organism for which gene expression and genotype data are available along with information on binding preferences for transcription factors.

scholarly journals Comparison of TALE designer transcription factors and the CRISPR/dCas9 in regulation of gene expression by targeting enhancers

2014 ◽  
Vol 42 (20) ◽  
pp. e155-e155 ◽  
Author(s):  
Xuefei Gao ◽  
Jason C.H. Tsang ◽  
Fortis Gaba ◽  
Donghai Wu ◽  
Liming Lu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Transcription Factors ◽  
Regulation Of Gene Expression

scholarly journals Expresso: A database and web server for exploring the interaction of transcription factors and their target genes in Arabidopsis thaliana using ChIP-Seq peak data

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 372 ◽  
Author(s):  
Delasa Aghamirzaie ◽  
Karthik Raja Velmurugan ◽  
Shuchi Wu ◽  
Doaa Altarawy ◽  
Lenwood S. Heath ◽  
...  
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Transcription Factors ◽  
Chromatin Immunoprecipitation ◽  
Target Genes ◽  
Regulation Of Gene Expression ◽  
Data Sets ◽  
Motif Analysis ◽  
Chromatin Immunoprecipitation Sequencing

Motivation: The increasing availability of chromatin immunoprecipitation sequencing (ChIP-Seq) data enables us to learn more about the action of transcription factors in the regulation of gene expression. Even though in vivo transcriptional regulation often involves the concerted action of more than one transcription factor, the format of each individual ChIP-Seq dataset usually represents the action of a single transcription factor. Therefore, a relational database in which available ChIP-Seq datasets are curated is essential. Results: We present Expresso (database and webserver) as a tool for the collection and integration of available Arabidopsis ChIP-Seq peak data, which in turn can be linked to a user’s gene expression data. Known target genes of transcription factors were identified by motif analysis of publicly available GEO ChIP-Seq data sets. Expresso currently provides three services: 1) Identification of target genes of a given transcription factor; 2) Identification of transcription factors that regulate a gene of interest; 3) Computation of correlation between the gene expression of transcription factors and their target genes. Availability: Expresso is freely available at http://bioinformatics.cs.vt.edu/expresso/

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