Genomic Determinants of Human Fetal and Adult Erythroid Gene Expression

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 1227-1227
Author(s):  
Jian Xu ◽  
Zhen Shao ◽  
Kimberly Glass ◽  
Daniel E. Bauer ◽  
Luca Pinello ◽  
...  

Abstract Abstract 1227 Erythropoiesis in mammals occurs in three waves consisting of primitive progenitors in the yolk sac, definitive erythroid precursors in the fetal liver and later in the postnatal bone marrow. The molecular determinants of developmental stage-specific gene expression programs remain largely unknown. Several transcription factors, including GATA1 and TAL1, are essential for normal erythroid development in vivo and are recognized as ‘master’ regulators. These lineage-specifying master regulators, together with other transcriptional co-regulators, act within complexes on chromatin, establish transcriptional networks, and orchestrate the differentiation process. However, it is less clear how master regulators control gene expression programs at different stages of development within the same cell lineage. We reasoned that comparative transcriptome, transcription factor, and epigenetic profiling of closely related cell types corresponding to distinct developmental stages should delineate the regulatory networks that are directly related to the associated gene expression programs. Classification of the trans- and cis-regulatory elements that are either shared or stage-specific should clarify their relative importance and prioritize functional candidates. To explore this approach, we focused on an ex vivo maturation system for human fetal and adult erythropoiesis. Primary human hematopoietic stem/progenitor cells (HSPCs) are propagated and induced for erythroid differentiation ex vivo. We first determined the mRNA expression profiles in both fetal and adult HSPCs and differentiating proerythroblasts (ProEs). Comparative transcriptome profiling revealed distinct gene expression programs at different stages of erythroid maturation. For example, 1039 and 1291 genes linked to distinct functional annotations were differentially expressed (fold change > 1.5, FDR < 0.05) in fetal and adult ProEs, respectively. To investigate the underlying basis of these distinct gene expression programs, we generated genome-wide maps for chromatin state and transcription factor occupancy by a ChIP-seq approach. Specifically, we profiled 9 histone modifications (H3K4me1/me2/me3, H3K9me3, H3K37me3, H3K36me2/me3, H3K9ac, and H3K27ac) and 6 transcription factors (GATA1, TAL1, NFE2, CTCF, RAD21, and RNA polymerase II) in both fetal and adult ProEs. Contrasting the similarities and differences between human fetal and adult erythropoiesis provides important insights into the erythroid gene expression programs and gene regulatory networks operating at different stages of development. We find that gene-distal enhancers, rather than promoters, are marked with highly stage-specific histone modifications and DNase I hypersensitivity, strongly correlate to developmental stage-specific gene expression changes, and are functionally active in a stage-specific manner. The master regulators GATA1 and TAL1 act cooperatively within active enhancers but have little predictive value for stage-specific transcriptional activity. Differential enrichment of consensus motifs for binding of transcription factors within fetal or adult stage-specific enhancers provides a strategy for identifying candidate co-regulators that drive differential gene expression and stage-specificity. By this computational approach and subsequent functional validation, we demonstrate that the interferon regulatory factors IRF2 and IRF6 are essential for activation of adult erythroid gene expression programs in cooperation with master regulators and cohesin-mediator complexes at distal enhancers. Thus, the comparative profiling of red cell development provides critical insights into the ontogeny of human erythropoiesis and temporal regulation of transcriptional networks in a mammalian genome. Disclosures: No relevant conflicts of interest to declare.

1994 ◽  
Vol 14 (11) ◽  
pp. 7517-7526 ◽  
Author(s):  
H S Ip ◽  
D B Wilson ◽  
M Heikinheimo ◽  
Z Tang ◽  
C N Ting ◽  
...  

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.


2007 ◽  
Vol 4 (2) ◽  
pp. 1-23
Author(s):  
Amitava Karmaker ◽  
Kihoon Yoon ◽  
Mark Doderer ◽  
Russell Kruzelock ◽  
Stephen Kwek

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.


1994 ◽  
Vol 14 (11) ◽  
pp. 7517-7526
Author(s):  
H S Ip ◽  
D B Wilson ◽  
M Heikinheimo ◽  
Z Tang ◽  
C N Ting ◽  
...  

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.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Arno Meiler ◽  
Fabio Marchiano ◽  
Margaux Haering ◽  
Manuela Weitkunat ◽  
Frank Schnorrer ◽  
...  

AbstractGene expression regulation requires precise transcriptional programs, led by transcription factors in combination with epigenetic events. Recent advances in epigenomic and transcriptomic techniques provided insight into different gene regulation mechanisms. However, to date it remains challenging to understand how combinations of transcription factors together with epigenetic events control cell-type specific gene expression. We have developed the AnnoMiner web-server, an innovative and flexible tool to annotate and integrate epigenetic, and transcription factor occupancy data. First, AnnoMiner annotates user-provided peaks with gene features. Second, AnnoMiner can integrate genome binding data from two different transcriptional regulators together with gene features. Third, AnnoMiner offers to explore the transcriptional deregulation of genes nearby, or within a specified genomic region surrounding a user-provided peak. AnnoMiner’s fourth function performs transcription factor or histone modification enrichment analysis for user-provided gene lists by utilizing hundreds of public, high-quality datasets from ENCODE for the model organisms human, mouse, Drosophila and C. elegans. Thus, AnnoMiner can predict transcriptional regulators for a studied process without the strict need for chromatin data from the same process. We compared AnnoMiner to existing tools and experimentally validated several transcriptional regulators predicted by AnnoMiner to indeed contribute to muscle morphogenesis in Drosophila. AnnoMiner is freely available at http://chimborazo.ibdm.univ-mrs.fr/AnnoMiner/.


Hematopoiesis is an extensively studied model system for cell differentiation. Cell-type-specific gene expression patterns are observed during hematopoiesis. Gene expression is governed by regulatory networks composed of cell-type-specific transcription factors. Resolving the transcriptional regulatory network for cell-type-specific gene expression provides a promising means of understanding the mechanisms underlying cell fate decisions. In this study, transcriptional regulatory networks in hematopoietic stem and progenitor cells were predicted based on gene expression profiles and distributions of transcription factor binding motifs in the promoter regions of cell-type-specific transcription factors. In particular, structural changes that occur when pluripotent stem cells progress to lineage-committed progenitors were evaluated. Marked changes in the regulatory circuit of transcription throughout the differentiation process could be elucidated by network analysis. Modular structures were a frequently described feature of biological networks observed in estimated networks. Within a module, most transcription factors were found to be regulated by a small number of regulators acting as downstream targets. Certain regulators within these modules coincide with known key regulators of hematopoietic cell differentiation. In addition to the modular structure, a twolayered structure was clearly observed in progenitor regulatory networks. Transcription factors could be distinctly divided into regulators within the regulatory layer and into targets in the output layer according to their degree of distribution. The restriction of mutual regulation between transcription factors was remarkable in that it allowed for alterations in network structures between hematopoietic stem cells and progenitors. Thus, using this approach, the relationships among transcription factors could be revealed by a reduction in mutual regulation to form a modular structure within the regulatory network


2020 ◽  
Author(s):  
Leandro Murgas ◽  
Sebastian Contreras-Riquelme ◽  
J. Eduardo Martínez ◽  
Camilo Villaman ◽  
Rodrigo Santibáñez ◽  
...  

AbstractMotivationThe regulation of gene expression is a key factor in the development and maintenance of life in all organisms. This process is carried out mainly through the action of transcription factors (TFs), although other actors such as ncRNAs are involved. In this work, we propose a new method to construct Gene Regulatory Networks (GRNs) depicting regulatory events in a certain context for Drosophila melanogaster. Our approach is based on known relationships between epigenetics and the activity of transcription factors.ResultsWe developed method, Tool for Weighted Epigenomic Networks in D. melanogaster (Fly T-WEoN), which generates GRNs starting from a reference network that contains all known gene regulations in the fly. Regulations that are unlikely taking place are removed by applying a series of knowledge-based filters. Each of these filters is implemented as an independent module that considers a type of experimental evidence, including DNA methylation, chromatin accessibility, histone modifications, and gene expression. Fly T-WEoN is based on heuristic rules that reflect current knowledge on gene regulation in D. melanogaster obtained from literature. Experimental data files can be generated with several standard procedures and used solely when and if available.Fly T-WEoN is available as a Cytoscape application that permits integration with other tools, and facilitates downstream network analysis. In this work, we first demonstrate the reliability of our method to then provide a relevant application case of our tool: early development of D. melanogaster.AvailabilityFly T-WEoN, together with its step-by-step guide is available at https://[email protected]


2016 ◽  
Author(s):  
Ildem Akerman ◽  
Zhidong Tu ◽  
Anthony Beucher ◽  
Delphine M.Y. Rolando ◽  
Claire Sauty-Colace ◽  
...  

SummaryRecent studies have uncovered thousands of long non-coding RNAs (IncRNAs) in human pancreatic β cells. β cell lncRNAs are often cell type-specific, and exhibit dynamic regulation during differentiation or upon changing glucose concentrations. Although these features hint at a role of lncRNAs in β cell gene regulation and diabetes, the function of β cell lncRNAs remains largely unknown. In this study, we investigated the function of β cell-specific lncRNAs and transcription factors using transcript knockdowns and co-expression network analysis. This revealed lncRNAs that function in concert with transcription factors to regulate β cell-specific transcriptional networks. We further demonstrate that lncRNA PLUTO affects local three-dimensional chromatin structure and transcription of PDX1, encoding a key β cell transcription factor, and that both PLUTO and PDX1 are downregulated in islets from donors with type 2 diabetes or impaired glucose tolerance. These results implicate lncRNAs in the regulation of β cell-specific transcription factor networks.


2021 ◽  
Vol 4 (11) ◽  
pp. e202101075
Author(s):  
Stephen Henderson ◽  
Venu Pullabhatla ◽  
Arnulf Hertweck ◽  
Emanuele de Rinaldis ◽  
Javier Herrero ◽  
...  

Gene expression programs controlled by lineage-determining transcription factors are often conserved between species. However, infectious diseases have exerted profound evolutionary pressure, and therefore the genes regulated by immune-specific transcription factors might be expected to exhibit greater divergence. T-bet (Tbx21) is the immune-specific, lineage-specifying transcription factor for T helper type I (Th1) immunity, which is fundamental for the immune response to intracellular pathogens but also underlies inflammatory diseases. We compared T-bet genomic targets between mouse and human CD4+ T cells and correlated T-bet binding patterns with species-specific gene expression. Remarkably, we found that the majority of T-bet target genes are conserved between mouse and human, either via preservation of binding sites or via alternative binding sites associated with transposon-linked insertion. Species-specific T-bet binding was associated with differences in transcription factor–binding motifs and species-specific expression of associated genes. These results provide a genome-wide cross-species comparison of Th1 gene regulation that will enable more accurate translation of genetic targets and therapeutics from pre-clinical models of inflammatory and infectious diseases and cancer into human clinical trials.


2015 ◽  
Vol 112 (9) ◽  
pp. 2900-2905 ◽  
Author(s):  
Ze-Ting Song ◽  
Le Sun ◽  
Sun-Jie Lu ◽  
Yongke Tian ◽  
Yong Ding ◽  
...  

Accumulation of unfolded or misfolded proteins causes endoplasmic reticulum (ER) stress, which activates a set of ER membrane-associated transcription factors for protein homeostasis regulation. Previous genome-wide chromatin immunoprecipitation analysis shows a strong correlation between histone H3K4 trimethylation (H3K4me3) and active gene expression. However, how the histone modification complex is specifically and timely recruited to the active promoters remains unknown. Using ER stress responsive gene expression as a model system, we demonstrate that sequence-specific transcription factors interact with COMPASS-like components and affect H3K4me3 formation at specific target sites in Arabidopsis. Gene profiling analysis reveals that membrane-associated basic leucine zipper (bZIP) transcription factors bZIP28 and bZIP60 regulate most of the ER stress responsive genes. Loss-of-functions of bZIP28 and bZIP60 impair the occupancy of H3K4me3 on promoter regions of ER stress responsive genes. Further, in vitro pull-down assays and in vivo bimolecular fluorescence complementation (BiFC) experiments show that bZIP28 and bZIP60 interact with Ash2 and WDR5a, both of which are core COMPASS-like components. Knockdown expression of either Ash2 or WDR5a decreased the expression of several ER stress responsive genes. The COMPASS-like complex is known to interact with histone methyltransferase to facilitate preinitiation complex (PIC) assembly and generate H3K4me3 during transcription elongation. Thus, our data shows that the ER stress stimulus causes the formation of PIC and deposition of H3K4me3 mark at specific promoters through the interaction between transcription factor and COMPASS-like components.


2021 ◽  
Author(s):  
Arno Meiler ◽  
Fabio Marchiano ◽  
Michaela Weikunat ◽  
Frank Schnorrer ◽  
Bianca H. Habermann

AbstractGene expression regulation requires precise transcriptional programs, led by transcription factors in combination with epigenetic events. Recent advances in epigenomic and transcriptomic techniques provided insight into different gene regulation mechanisms. However, to date it remains challenging to understand how combinations of transcription factors together with epigenetic events control cell-type specific gene expression. We developed the AnnoMiner web-server and introduce an innovative and flexible way to annotate and integrate epigenetic, and transcription factor occupancy data. First, AnnoMiner annotates user-provided peaks with gene features. Second, AnnoMiner can integrate genome binding data from two different transcriptional regulators together with gene features. Third, AnnoMiner offers to explore the transcriptional deregulation of 10 genes nearby a user-provided peak. AnnoMiner’s fourth function performs transcription factor or histone mark enrichment analysis for user-provided gene lists by utilizing hundreds of public, high-quality datasets from ENCODE for the model organisms human, mouse, Drosophila and C. elegans. Thus, AnnoMiner can predict transcriptional regulators for a studied process without the strict need for chromatin data from the same process. We compared AnnoMiner to existing tools and experimentally validated several transcriptional regulators predicted by AnnoMiner to indeed contribute to muscle morphogenesis in Drosophila. AnnoMiner is freely available at http://chimborazo.ibdm.univ-mrs.fr/AnnoMiner/.


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