scholarly journals Tissue-specific transcription factor target identification in the Caenorhabditis elegans epidermis using targeted DamID

2020 ◽  
Author(s):  
Dimitris Katsanos ◽  
Michalis Barkoulas
Keyword(s):  
Transcription Factor ◽  
Cell Differentiation ◽  
Single Molecule ◽  
Regulatory Networks ◽  
Specific Binding ◽  
Wnt Signalling ◽  
Specific Gene ◽  
List Type ◽  
Tissue Specific ◽  
Transcription Factor Target

SummaryTranscription factors are key orchestrators of development in multicellular animals and display complex patterns of expression, as well as tissue-specific binding to targets. However, our ability to map transcription factor-target interactions in specific tissues of intact animals remains limited. We introduce here targeted DamID (TaDa) as a method to identify transcription factor targets with tissue-specific resolution in C. elegans. We focus on the epidermis as a paradigm and demonstrate that TaDa circumvents problems with Dam-associated toxicity and allows reproducible identification of putative targets. Using a combination of TaDa and single-molecule FISH (smFISH), we refine the positions of LIN-22 and NHR-25 within the epidermal gene network. We reveal direct links between these two factors and the cell differentiation programme, as well as the Wnt signalling pathway. Our results illustrate how TaDa and smFISH can be used to dissect the architecture of tissue-specific gene regulatory networks.HighlightsTaDa circumvents Dam-associated toxicity by keeping levels of Dam expression low.TaDa allows the recovery of tissue-specific methylation profiles representing TF binding.Methylation signal is enriched in regulatory regions of the genome.LIN-22 and NHR-25 targets reveal a link to cell differentiation and Wnt signalling.

scholarly journals Correlative single-molecule fluorescence barcoding of gene regulation in Saccharomyces cerevisiae

2020 ◽  
Author(s):  
Sviatlana Shashkova ◽  
Thomas Nyström ◽  
Mark C Leake ◽  
Adam JM Wollman
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Transcription Factor ◽  
Cell Growth ◽  
Single Molecule ◽  
Specific Binding ◽  
Carbon Sources ◽  
Growth Characteristics ◽  
List Type ◽  
Regulatory State ◽  
Single Molecule Fluorescence

AbstractMost cells adapt to their environment by switching combinations of genes on and off through a complex interplay of transcription factor proteins (TFs). The mechanisms by which TFs respond to signals, move into the nucleus and find specific binding sites in target genes is still largely unknown. Single-molecule fluorescence microscopes, which can image single TFs in live cells, have begun to elucidate the problem. Here, we show that different environmental signals, in this case carbon sources, yield a unique single-molecule fluorescence pattern of foci of a key metabolic regulating transcription factor, Mig1, in the nucleus of the budding yeast, Saccharomyces cerevisiae. This pattern serves as a ‘barcode’ of the gene regulatory state of the cells which can be correlated with cell growth characteristics and other biological function.HighlightsSingle-molecule microscopy of transcription factors in live yeastBarcoding single-molecule nuclear fluorescenceCorrelation with cell growth characteristicsGrowth in different carbon sources

scholarly journals Power-law behavior of transcription factor dynamics at the single-molecule level implies a continuum affinity model

2021 ◽  
Author(s):  
David A Garcia ◽  
Gregory Fettweis ◽  
Diego M Presman ◽  
Ville Paakinaho ◽  
Christopher Jarzynski ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Single Molecule ◽  
Power Law ◽  
Dwell Time ◽  
Specific Binding ◽  
Power Law Distribution ◽  
Single Molecule Level ◽  
Binding Behavior ◽  
Chromatin Template ◽  
Nuclear Domains

Abstract Single-molecule tracking (SMT) allows the study of transcription factor (TF) dynamics in the nucleus, giving important information regarding the diffusion and binding behavior of these proteins in the nuclear environment. Dwell time distributions obtained by SMT for most TFs appear to follow bi-exponential behavior. This has been ascribed to two discrete populations of TFs—one non-specifically bound to chromatin and another specifically bound to target sites, as implied by decades of biochemical studies. However, emerging studies suggest alternate models for dwell-time distributions, indicating the existence of more than two populations of TFs (multi-exponential distribution), or even the absence of discrete states altogether (power-law distribution). Here, we present an analytical pipeline to evaluate which model best explains SMT data. We find that a broad spectrum of TFs (including glucocorticoid receptor, oestrogen receptor, FOXA1, CTCF) follow a power-law distribution of dwell-times, blurring the temporal line between non-specific and specific binding, suggesting that productive binding may involve longer binding events than previously believed. From these observations, we propose a continuum of affinities model to explain TF dynamics, that is consistent with complex interactions of TFs with multiple nuclear domains as well as binding and searching on the chromatin template.

scholarly journals Sex- and Tissue-Specific Functions of Drosophila Doublesex Transcription Factor Target Genes

2014 ◽  
Vol 31 (6) ◽  
pp. 761-773 ◽  
Author(s):  
Emily Clough ◽  
Erin Jimenez ◽  
Yoo-Ah Kim ◽  
Cale Whitworth ◽  
Megan C. Neville ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Target Genes ◽  
Tissue Specific ◽  
Transcription Factor Target

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.

Characterization of Tissue-Specific HIF-1 and HIF-2 Regulatory Elements of the Erythropoietin Gene

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 4763-4763
Author(s):  
Donghoon Yoon ◽  
Hyojin Kim ◽  
Minyoung Jang ◽  
Jihyun Song ◽  
Gregory E Arnold ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Specific Binding ◽  
Regulatory Element ◽  
Regulatory Elements ◽  
Specific Gene ◽  
Mrna Levels ◽  
Specific Element ◽  
Α Subunit ◽  
Tissue Specific

Abstract Hypoxia regulates erythropoiesis and other essential processes via hypoxia-inducible transcription factors (HIFs). HIFs are heterodimers that consist of an α subunit (3 isotypes with significant homology; HIF-1α, HIF-2α, HIF-3α), and a common b-subunit; HIF-1 and HIF-2, in some instances exhibiting tissue- and gene-specific gene regulation. Erythropoietin (EPO) was the first identified HIF-1 target gene with the defined HIF-1 binding sequence. However, subsequent works suggested that HIF-2 also regulates EPO transcription and that there are other regulatory elements of EPO gene (i.e. Kidney Inducible Element KIE, Negative Regulatory Element NRE, and Negative Regulatory Liver specific Element NRLE). In silico analysis of the human EPO genome found two additional potential HIF-binding elements in the KIE and NRE regions. The comparative analysis of phylogenically conserved sequences of human, mouse, dog, and rat Epo genes further refined these mouse Epo gene HIF-binding elements as mKIE, mNRE1, mNRE2, and mNRLE2. We treated mice in hypoxia chamber (8% O2) and monitored changes of Epo mRNA levels in liver, kidney, brain, spleen, and bone marrow. All tested tissues increased Epo transcription during hypoxia. Bone marrow, spleen, kidney, and brain showed a peak of induction of Epo transcript at 3 hours of hypoxia treatment, while liver reached the highest level at 6 hours. Mice were sacrificed and organs were harvested, and in vivo chromatin immunoprecipitation (ChIPs) was performed with antibodies against HIF-1α and HIF- 2α and tissue-specific binding regions were defined. The results from these studies are summarized below. HIF-1 mKIE rnNRE mNRE2 mNRLE2 Norm Hyp Norm Hyp Norm Hyp Norm Hyp Liver − + − − + − ? ? Kidney − + − − + − + − Brain − + − − − + − + BM − + − − − − − + Splsen − + − − − − − + HIF-2 mKIE mNRE mNRE2 mNRLE2 Norm Hyp Norm Hyp Norm Hyp Norm Hyp “+” denotes presence and “-” absence of binding of HIF-1 and HIF-2, “?” – indicates inconclusive results. “Norm” - normoxia, “Hyp” - hypoxia. Liver − + − − − + − + Kidney + − − − + − ? ? Brain − − − − − − − + BM − − − − − − + − Spleen − + − − − − − + In conclusion, we demonstrate the differential hypoxia-induced binding of HIF-1 and HIF-2 at different HIF binding elements in the tissues known to express Epo. Further studies will be required to define the function of these HIF-1 and HIF-2 binding elements in tissue specific Epo expression and their role in health and disease.

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 Transcription Factor Target Search Strategy at the Single Molecule Level in Eukaryotic Cells

2012 ◽  
Vol 102 (3) ◽  
pp. 288a
Author(s):  
Lydia Boudarene ◽  
Vincent Récamier ◽  
Davide Normanno ◽  
Ignacio Izzedine ◽  
Ibrahim Cissé ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Single Molecule ◽  
Search Strategy ◽  
Eukaryotic Cells ◽  
Target Search ◽  
Single Molecule Level ◽  
Transcription Factor Target

scholarly journals Understanding Tissue-specific Gene Regulation

2017 ◽  
Author(s):  
Abhijeet R. Sonawane ◽  
John Platig ◽  
Maud Fagny ◽  
Cho-Yi Chen ◽  
Joseph N. Paulson ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Transcriptional Control ◽  
Tissue Specificity ◽  
Enrichment Analysis ◽  
Tissue Expression ◽  
Gene Set Enrichment Analysis ◽  
Specific Gene ◽  
Tissue Specific ◽  
Network Nodes ◽  
Transcription Factor Expression

Although all human tissues carry out common processes, tissues are distinguished by gene expres-sion patterns, implying that distinct regulatory programs control tissue-specificity. In this study, we investigate gene expression and regulation across 38 tissues profiled in the Genotype-Tissue Expression project. We find that network edges (transcription factor to target gene connections) have higher tissue-specificity than network nodes (genes) and that regulating nodes (transcription factors) are less likely to be expressed in a tissue-specific manner as compared to their targets (genes). Gene set enrichment analysis of network targeting also indicates that regulation of tissue-specific function is largely independent of transcription factor expression. In addition, tissue-specific genes are not highly targeted in their corresponding tissue-network. However, they do assume bottleneck positions due to variability in transcription factor targeting and the influence of non-canonical regulatory interactions. These results suggest that tissue-specificity is driven by context-dependent regulatory paths, providing transcriptional control of tissue-specific processes.

scholarly journals Identification of key tissue-specific, biological processes by integrating enhancer information in maize gene regulatory networks

2020 ◽  
Author(s):  
Maud Fagny ◽  
Marieke Lydia Kuijjer ◽  
Maike Stam ◽  
Johann Joets ◽  
Olivier Turc ◽  
...  
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Binding Sites ◽  
Regulatory Network ◽  
Tissue Specificity ◽  
Target Genes ◽  
Specific Gene ◽  
Tissue Specific ◽  
Genome Wide ◽  
Gene Regulatory

AbstractEnhancers are important regulators of gene expression during numerous crucial processes including tissue differentiation across development. In plants, their recent molecular characterization revealed their capacity to activate the expression of several target genes through the binding of transcription factors. Nevertheless, identifying these target genes at a genome-wide level remains a challenge, in particular in species with large genomes, where enhancers and target genes can be hundreds of kilobases away. Therefore, the contribution of enhancers to regulatory network is still poorly understood in plants. In this study, we investigate the enhancer-driven regulatory network of two maize tissues at different stages: leaves at seedling stage and husks (bracts) at flowering. Using a systems biology approach, we integrate genomic, epigenomic and transcriptomic data to model the regulatory relationship between transcription factors and their potential target genes. We identify regulatory modules specific to husk and V2-IST, and show that they are involved in distinct functions related to the biology of each tissue. We evidence enhancers exhibiting binding sites for two distinct transcription factor families (DOF and AP2/ERF) that drive the tissue-specificity of gene expression in seedling immature leaf and husk. Analysis of the corresponding enhancer sequences reveals that two different transposable element families (TIR transposon Mutator and MITE Pif/Harbinger) have shaped the regulatory network in each tissue, and that MITEs have provided new transcription factor binding sites that are involved in husk tissue-specificity.SignificanceEnhancers play a major role in regulating tissue-specific gene expression in higher eukaryotes, including angiosperms. While molecular characterization of enhancers has improved over the past years, identifying their target genes at the genome-wide scale remains challenging. Here, we integrate genomic, epigenomic and transcriptomic data to decipher the tissue-specific gene regulatory network controlled by enhancers at two different stages of maize leaf development. Using a systems biology approach, we identify transcription factor families regulating gene tissue-specific expression in husk and seedling leaves, and characterize the enhancers likely to be involved. We show that a large part of maize enhancers is derived from transposable elements, which can provide novel transcription factor binding sites crucial to the regulation of tissue-specific biological functions.

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.

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