scholarly journals Identification of MEF2-regulated genes during muscle differentiation

2004 ◽  
Vol 20 (1) ◽  
pp. 143-151 ◽  
Author(s):  
James Paris ◽  
Carl Virtanen ◽  
Zhibin Lu ◽  
Mark Takahashi
Keyword(s):  
Gene Regulation ◽  
Transcription Factor ◽  
Transcription Factors ◽  
Neuromuscular Junctions ◽  
Muscle Differentiation ◽  
Signaling Cascades ◽  
Specific Gene ◽  
Genetic Mechanisms ◽  
Selection Parameters ◽  
First Time

Although a great deal has been elucidated concerning the mechanisms regulating muscle differentiation, little is known about transcription factor-specific gene regulation. Our understanding of the genetic mechanisms regulating cell differentiation is quite limited. Much of what has been defined centers on regulatory signaling cascades and transcription factors. Surprisingly few studies have investigated the association of genes with specific transcription factors. To address these issues, we have utilized a method coupling chromatin immunoprecipitation and CpG microarrays to characterize the genes associated with MEF2 in differentiating C2C12 cells. Results demonstrated a defined binding pattern over the course of differentiation. Filtered data demonstrated 9 clones to be elevated at 0 h, 792 at 6 h, 163 by 1 day, and 316 at 3 days. Using unbiased selection parameters, we selected a subset of 291 prospective candidates. Clones were sequenced and filtered for removal of redundancy between clones and for the presence of repetitive elements. We were able to place 50 of these on the mouse genome, and 20 were found to be located near well-annotated genes. From this list, previously undefined associations with MEF2 were discovered. Many of these genes represent proteins involved in neurogenesis, neuromuscular junctions, signaling and metabolism. The remaining clones include many full-length cDNA and represent novel gene targets. The results of this study provides for the first time, a unique look at gene regulation at the level of transcription factor binding in differentiating muscle.

scholarly journals Androgen and glucocorticoid receptor direct distinct transcriptional programs by receptor-specific and shared DNA binding sites

2021 ◽  
Vol 49 (7) ◽  
pp. 3856-3875
Author(s):  
Marina Kulik ◽  
Melissa Bothe ◽  
Gözde Kibar ◽  
Alisa Fuchs ◽  
Stefanie Schöne ◽  
...  
Keyword(s):  
Gene Regulation ◽  
Transcription Factor ◽  
Dna Binding ◽  
Receptor Binding ◽  
Binding Sites ◽  
Specific Gene ◽  
Functional Diversification ◽  
Enhancer Activity ◽  
Sequence Composition

Abstract The glucocorticoid (GR) and androgen (AR) receptors execute unique functions in vivo, yet have nearly identical DNA binding specificities. To identify mechanisms that facilitate functional diversification among these transcription factor paralogs, we studied them in an equivalent cellular context. Analysis of chromatin and sequence suggest that divergent binding, and corresponding gene regulation, are driven by different abilities of AR and GR to interact with relatively inaccessible chromatin. Divergent genomic binding patterns can also be the result of subtle differences in DNA binding preference between AR and GR. Furthermore, the sequence composition of large regions (>10 kb) surrounding selectively occupied binding sites differs significantly, indicating a role for the sequence environment in guiding AR and GR to distinct binding sites. The comparison of binding sites that are shared shows that the specificity paradox can also be resolved by differences in the events that occur downstream of receptor binding. Specifically, shared binding sites display receptor-specific enhancer activity, cofactor recruitment and changes in histone modifications. Genomic deletion of shared binding sites demonstrates their contribution to directing receptor-specific gene regulation. Together, these data suggest that differences in genomic occupancy as well as divergence in the events that occur downstream of receptor binding direct functional diversification among transcription factor paralogs.

scholarly journals Bacterium-Enabled Transient Gene Activation by Artificial Transcription Factor for Resolving Gene Regulation in Maize

2021 ◽  
Author(s):  
Mingxia Zhao ◽  
Zhao Peng ◽  
Yang Qin ◽  
Ling Zhang ◽  
Bin Tian ◽  
...  
Keyword(s):  
Gene Regulation ◽  
Transcription Factor ◽  
Transcription Factors ◽  
Protein Delivery ◽  
Graphical Model ◽  
Gene Activation ◽  
Cuticular Wax ◽  
Host Cells ◽  
Myb Transcription Factor ◽  
Leaf Phenotype

ABSTRACTCellular functions are diversified through intricate transcription regulations, and an understanding gene regulation networks is essential to elucidating many developmental processes and environmental responses. Here, we employed the Transcriptional-Activator Like effectors (TALes), which represent a family of transcription factors that are synthesized by members of the γ-proteobacterium genus Xanthomonas and secreted to host cells for activation of targeted host genes. Through delivery by the maize pathogen, Xanthomonas vasicola pv. vasculorum, designer TALes (dTALes), which are synthetic TALes, were used to induce the expression of the maize gene glossy3 (gl3), a MYB transcription factor gene involved in the cuticular wax biosynthesis. RNA-Seq analysis of leaf samples identified 146 gl3 downstream genes. Eight of the nine known genes known to be involved in the cuticular wax biosynthesis were up-regulated by at least one dTALe. A top-down Gaussian graphical model predicted that 68 gl3 downstream genes were directly regulated by GL3. A chemically induced mutant of the gene Zm00001d017418 from the gl3 downstream gene, encoding aldehyde dehydrogenase, exhibited a typical glossy leaf phenotype and reduced epicuticular waxes. The bacterial protein delivery of artificial transcription factors, dTALes, proved to be a straightforward and powerful approach for the revelation of gene regulation in plants.

scholarly journals Transcriptomic Analysis and Specific Expression of Transcription Factor Genes in the Root and Sporophyll of Dryopteris fragrans (L.) Schott

2020 ◽  
Vol 21 (19) ◽  
pp. 7296
Author(s):  
Lingling Chen ◽  
Dongrui Zhang ◽  
Chunhua Song ◽  
Hemeng Wang ◽  
Xun Tang ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Transcription Factors ◽  
Glandular Trichomes ◽  
Transcriptomic Analysis ◽  
Specific Gene ◽  
Specific Expression ◽  
Tissue Specific ◽  
Transcription Factor Genes ◽  
Dryopteris Fragrans ◽  
Different Tissues

Background: Dryopteris fragrans, which is densely covered with glandular trichomes, is considered to be one of the ferns with the most medicinal potential. The transcriptomes from selected tissues of D. fragrans were collected and analyzed for functional and comparative genomic studies. The aim of this study was to determine the transcriptomic characteristics of wild D. fragrans sporangium in tissues from the SR (root), SL (sporophyll), and TRL (sporophyll with glandular trichomes removed). Results: Cluster analysis identified genes that were highly expressed in an organ-specific manner according to read mapping, feature counting, and normalization. The functional map identified gene clusters that can uniquely describe the function of each tissue. We identified a group of three tissue-specific transcription factors targeting the SL, SR, and TRL. In addition, highly expressed transcription factors (TFs) were found in each tissue-specific gene cluster, where ERF and bHLH transcription factors were the two types showing the most distinct expression patterns between the three different tissues. The specific expression of transcription factor genes varied between the different types of tissues. The numbers of transcription factors specifically expressed in the roots and sporophylls were 60 and 30, respectively, while only seven were found for the sporophylls with glandular trichomes removed. The expression of genes known to be associated with the development of glandular trichomes in flowering plants, including MIXTA, ATML1, and MYB106, were also validated and are discussed. In particular, a unigene encoding MIXTA was identified and exhibited the highest expression level in SL in D. fragrans. Conclusions: This study is the first report of global transcriptomic analysis in different tissues of D. fragrans, and the first to discuss these findings in the context of the development of homologous glandular trichomes. These results set the stage for further research on the development, stress resistance, and secondary metabolism of D. fragrans glandular trichomes.

scholarly journals The GATA-4 transcription factor transactivates the cardiac muscle-specific troponin C promoter-enhancer in nonmuscle cells.

1994 ◽  
Vol 14 (11) ◽  
pp. 7517-7526 ◽  
Author(s):  
H S Ip ◽  
D B Wilson ◽  
M Heikinheimo ◽  
Z Tang ◽  
C N Ting ◽  
...  
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Transcription Factors ◽  
Cardiac Muscle ◽  
Binding Site ◽  
Cardiac Myocytes ◽  
Specific Binding ◽  
Troponin C ◽  
Specific Gene ◽  
Cardiac Muscle Cells

The unique contractile phenotype of cardiac myocytes is determined by the expression of a set of cardiac muscle-specific genes. By analogy to other mammalian developmental systems, it is likely that the coordinate expression of cardiac genes is controlled by lineage-specific transcription factors that interact with promoter and enhancer elements in the transcriptional regulatory regions of these genes. Although previous reports have identified several cardiac muscle-specific transcriptional elements, relatively little is known about the lineage-specific transcription factors that regulate these elements. In this report, we demonstrate that the slow/cardiac muscle-specific troponin C (cTnC) enhancer contains a specific binding site for the lineage-restricted zinc finger transcription factor GATA-4. This GATA-4-binding site is required for enhancer activity in primary cardiac myocytes. Moreover, the cTnC enhancer can be transactivated by overexpression of GATA-4 in non-cardiac muscle cells such as NIH 3T3 cells. In situ hybridization studies demonstrate that GATA-4 and cTnC have overlapping patterns of expression in the hearts of postimplantation mouse embryos and that GATA-4 gene expression precedes cTnC expression. Indirect immunofluorescence reveals GATA-4 expression in cultured cardiac myocytes from neonatal rats. Taken together, these results are consistent with a model in which GATA-4 functions to direct tissue-specific gene expression during mammalian cardiac development.

scholarly journals Identifying Transcription Regulatory Elements in the Human and Mouse Genomes Using Tissue-specific Gene Expression Profiles

2007 ◽  
Vol 4 (2) ◽  
pp. 1-23
Author(s):  
Amitava Karmaker ◽  
Kihoon Yoon ◽  
Mark Doderer ◽  
Russell Kruzelock ◽  
Stephen Kwek
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Transcription Factors ◽  
Binding Sites ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Regulatory Elements ◽  
Specific Gene ◽  
Tissue Specific Gene ◽  
Human And Mouse

Summary Revealing the complex interaction between trans- and cis-regulatory elements and identifying these potential binding sites are fundamental problems in understanding gene expression. The progresses in ChIP-chip technology facilitate identifying DNA sequences that are recognized by a specific transcription factor. However, protein-DNA binding is a necessary, but not sufficient, condition for transcription regulation. We need to demonstrate that their gene expression levels are correlated to further confirm regulatory relationship. Here, instead of using a linear correlation coefficient, we used a non-linear function that seems to better capture possible regulatory relationships. By analyzing tissue-specific gene expression profiles of human and mouse, we delineate a list of pairs of transcription factor and gene with highly correlated expression levels, which may have regulatory relationships. Using two closely-related species (human and mouse), we perform comparative genome analysis to cross-validate the quality of our prediction. Our findings are confirmed by matching publicly available TFBS databases (like TRANFAC and ConSite) and by reviewing biological literature. For example, according to our analysis, 80% and 85.71% of the targets genes associated with E2F5 and RELB transcription factors have the corresponding known binding sites. We also substantiated our results on some oncogenes with the biomedical literature. Moreover, we performed further analysis on them and found that BCR and DEK may be regulated by some common transcription factors. Similar results for BTG1, FCGR2B and LCK genes were also reported.

The GATA-4 transcription factor transactivates the cardiac muscle-specific troponin C promoter-enhancer in nonmuscle cells

1994 ◽  
Vol 14 (11) ◽  
pp. 7517-7526
Author(s):  
H S Ip ◽  
D B Wilson ◽  
M Heikinheimo ◽  
Z Tang ◽  
C N Ting ◽  
...  
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Transcription Factors ◽  
Cardiac Muscle ◽  
Binding Site ◽  
Cardiac Myocytes ◽  
Specific Binding ◽  
Troponin C ◽  
Specific Gene ◽  
Cardiac Muscle Cells

The unique contractile phenotype of cardiac myocytes is determined by the expression of a set of cardiac muscle-specific genes. By analogy to other mammalian developmental systems, it is likely that the coordinate expression of cardiac genes is controlled by lineage-specific transcription factors that interact with promoter and enhancer elements in the transcriptional regulatory regions of these genes. Although previous reports have identified several cardiac muscle-specific transcriptional elements, relatively little is known about the lineage-specific transcription factors that regulate these elements. In this report, we demonstrate that the slow/cardiac muscle-specific troponin C (cTnC) enhancer contains a specific binding site for the lineage-restricted zinc finger transcription factor GATA-4. This GATA-4-binding site is required for enhancer activity in primary cardiac myocytes. Moreover, the cTnC enhancer can be transactivated by overexpression of GATA-4 in non-cardiac muscle cells such as NIH 3T3 cells. In situ hybridization studies demonstrate that GATA-4 and cTnC have overlapping patterns of expression in the hearts of postimplantation mouse embryos and that GATA-4 gene expression precedes cTnC expression. Indirect immunofluorescence reveals GATA-4 expression in cultured cardiac myocytes from neonatal rats. Taken together, these results are consistent with a model in which GATA-4 functions to direct tissue-specific gene expression during mammalian cardiac development.

Abstract 611: AP-1 and ETS Family Transcription Factors Co-localize at Enhancers in Human Aortic Endothelial Cells

2015 ◽  
Vol 35 (suppl_1) ◽  
Author(s):  
Nicholas T Hogan ◽  
Casey E Romanoski ◽  
Michael T Lam ◽  
Christopher K Glass
Keyword(s):  
Endothelial Cells ◽  
Transcription Factor ◽  
Transcription Factors ◽  
De Novo ◽  
Regulatory Elements ◽  
Specific Gene ◽  
Motif Analysis ◽  
Aortic Endothelial Cells ◽  
Human Aortic Endothelial Cells ◽  
Aortic Endothelial

Introduction: Sequence-specific transcription factors bind DNA regulatory elements and play a key role in establishing cellular identity. Studies comparing macrophages to B cells have revealed that small numbers of such collaborative or lineage-determining transcription factors (LDTF) establish distinct enhancers in each cell type. These factors also allow for the binding of signal dependent transcription factors. Here we present data which suggest members of the AP-1, ETS, and STAT transcription factor families serve as collaborative transcriptional regulators in human aortic endothelial cells (HAEC). Hypothesis: We hypothesize that a set of AP-1 and ETS transcription factors collaborate to establish key endothelial cell enhancers. Methods: Working in HAEC, we measured poised and active enhancers using ChIP-seq for the epigenetic histone modifications H3K4me2 and H3K27Ac, performed motif analysis, and measured transcription factor binding for candidate factors. Knockdowns of JUN, ERG, and STAT3 followed by RNA-seq were used to evaluate altered enhancer function and gene targets of candidate factors. Results: Our de novo motif analysis revealed that motifs for ETS and AP-1 transcription factors are highly enriched at HAEC enhancers. ChIP-seq experiments for JUN, JUNB, ERG, and STAT3 showed between 8,000 and 55,000 intergenic peaks for each factor. Together these peaks bind 50% of poised enhancers, with a subset co-localizing at these sites. Gene ontology analysis showed that gene targets of these enhancers are involved in endothelial-specific functions. Further, knockdown of JUN, ERG, and STAT3 resulted in a twofold or greater change in expression of hundreds of HAEC transcripts. Conclusion: The genome-wide pattern of JUN, JUNB, ERG, and STAT3 co-localization at enhancers in HAEC suggests these factors serve as key regulators that collaboratively modulate endothelial-specific gene expression. Further investigation of candidate lineage-determining transcription factors using pro-atherogenic signals could reveal regulatory mechanisms of disease-relevant endothelial transcriptional programs.

GATA-1 Forms Distinct Activating and Repressive Complexes in Erythroid Cells.

Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 356-356
Author(s):  
John Strouboulis ◽  
Patrick Rodriguez ◽  
Edgar Bonte ◽  
Jeroen Krijgsveld ◽  
Katarzyna Kolodziej ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Transcription Factors ◽  
Chromatin Remodeling ◽  
Gene Activation ◽  
Erythroid Differentiation ◽  
Specific Gene ◽  
Erythroid Cells ◽  
In Erythroid Cells

Abstract GATA-1 is a key transcription factor essential for the differentiation of the erythroid, megakaryocytic and eosinophilic lineages. GATA-1 functions in erythropoiesis involve lineage-specific gene activation and repression of early hematopoietic transcription programs. GATA-1 is known to interact with other transcription factors, such as FOG-1, TAL-1 and Sp1 and also with CBP/p300 and the SWI/SNF chromatin remodeling complex in vitro. Despite this information the molecular basis of its essential functions in erythropoiesis remains unclear. We show here that GATA-1 is mostly present in a high (> 670kDa) molecular weight complex that appears to be dynamic during erythroid differentiation. In order to characterize the GATA-1 complex(es) from erythroid cells, we employed an in vivo biotinylation tagging approach in mouse erythroleukemic (MEL) cells1. Briefly, this involved the fusion of a small (23aa) peptide tag to GATA-1 and its specific, efficient biotinylation by the bacterial BirA biotin ligase which is co-expressed with tagged GATA-1 in MEL cells. Nuclear extracts expressing biotinylated tagged GATA-1 were bound directly to streptavidin beads and co-purifying proteins were identified by mass spectrometry. In addition to the known GATA-1-interacting transcription factors FOG-1, TAL-1 and Ldb-1, we describe novel interactions with the essential hematopoietic transcription factor Gfi-1b and the chromatin remodeling complexes MeCP1 and ACF/WCRF. Significantly, GATA-1 interaction with the repressive MeCP1 complex requires FOG-1. We also show in erythroid cells that GATA-1, FOG-1 and MeCP1 are stably bound to repressed genes representing early hematopoietic (e.g. GATA-2) or alternative lineage-specific (e.g. eosinophilic) transcription programs, whereas the GATA-1/Gfi1b complex is bound to repressed genes involved in cell proliferation. In contrast, GATA-1 and TAL-1 are bound to the active erythroid-specific EKLF gene. Our findings on GATA-1 complexes provide novel insight as to the critical roles that GATA-1 plays in many aspects of erythropoiesis by revealing the GATA-1 partners in the execution of specific functions.

scholarly journals Different Functional Gene Clusters in Yeast have Different Spatial Distributions of the Transcription Factor Binding Sites

2011 ◽  
Vol 5 ◽  
pp. BBI.S6362 ◽  
Author(s):  
Wei-Sheng Wu
Keyword(s):  
Gene Regulation ◽  
Transcription Factor ◽  
Spatial Distribution ◽  
Transcription Factors ◽  
Binding Sites ◽  
Transcription Factor Binding Sites ◽  
Gene Clusters ◽  
Functional Gene ◽  
Spatial Distributions ◽  
Factor Binding

Transcription factors control gene expression by binding to short specific DNA sequences, called transcription factor binding sites (TFBSs), in the promoter of a gene. Thus, studying the spatial distribution of TFBSs in the promoters may provide insights into the molecular mechanisms of gene regulation. I developed a method to construct the spatial distribution of TFBSs for any set of genes of interest. I found that different functional gene clusters have different spatial distributions of TFBSs, indicating that gene regulation mechanisms may be very different among different functional gene clusters. I also found that the binding sites for different transcription factors (TFs) may have different spatial distributions: a sharp peak, a plateau or no dominant single peak. The spatial distributions of binding sites for many TFs derived from my analyses are valuable prior information for TFBS prediction algorithm because different regions of a promoter can assign different possibilities for TFBS occurrence.

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