scholarly journals Promoter repression and 3D-restructuring resolves divergent developmental gene expression in TADs

2021 ◽  
Author(s):  
Alessa R. Ringel ◽  
Quentin Szabo ◽  
Andrea M. Chiariello ◽  
Konrad Chudzik ◽  
Robert Schoepflin ◽  
...  

Cohesin loop extrusion facilitates precise gene expression by continuously driving promoters to sample all enhancers located within the same topologically-associated domain (TAD). However, many TADs contain multiple genes with divergent expression patterns, thereby indicating additional forces further refine how enhancer activities are utilised. Here, we unravel the mechanisms enabling a new gene, Rex1, to emerge with divergent expression within the ancient Fat1 TAD in placental mammals. We show that such divergent expression is not determined by a strict enhancer-promoter compatibility code, intra-TAD position or nuclear envelope-attachment. Instead, TAD-restructuring in embryonic stem cells (ESCs) separates Rex1 and Fat1 with distinct proximal enhancers that independently drive their expression. By contrast, in later embryonic tissues, DNA methylation renders the inactive Rex1 promoter profoundly unresponsive to Fat1 enhancers within the intact TAD. Combined, these features adapted an ancient regulatory landscape during evolution to support two entirely independent Rex1 and Fat1 expression programs. Thus, rather than operating only as rigid blocks of co-regulated genes, TAD-regulatory landscapes can orchestrate complex divergent expression patterns in evolution.

2020 ◽  
Vol 52 (6) ◽  
pp. 615-625 ◽  
Author(s):  
Delphine Douillet ◽  
Christie C. Sze ◽  
Caila Ryan ◽  
Andrea Piunti ◽  
Avani P. Shah ◽  
...  

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 575-575
Author(s):  
Mark Ping Chao ◽  
Gentles Andrew ◽  
Chatterjee Susmita ◽  
Andreas Reinisch ◽  
M. Ryan Corces ◽  
...  

Abstract Understanding the contribution of abnormal genetic and epigenetic programs to acute myeloid leukemia (AML) is necessary for the integrated design of genetic and epigenetic targeted therapies. While epigenetic therapies have been used to treat AML, so far efficacy has been limited. To this point, the reversibility of epigenetic modifications in AML is poorly understood, as are the relative contributions of the leukemic genetic and epigenetic programs to disease pathogenesis. To investigate these questions, we sought to reprogram primary AML leukemic blasts into induced pluripotent stem cells (iPSCs) and assess the effect of epigenetic reprogramming on leukemic behavior. We generated iPSCs from several AML patients with 11q23/MLL translocations using classic iPSC reprogramming factors (Sox-2, Klf4, Oct4, and Myc). Reprogrammed AML cells generated iPSCs as indicated by classic pluripotent features including embryonic stem cell morphology, expression of pluripotent markers, and formation of teratomas in vivo. In addition, AML iPSCs retained all the karyotypic and genetic abnormalities of the original AML patient. Despite presence of these mutations, AML iPSCs were able to differentiate into multiple cell types with normal function. Thus, human AML cells can be epigenetically reprogrammed into a pluripotent state despite the presence of leukemic driver mutations. Surprisingly, when AML iPSCs were differentiated in CD43+45+ hematopoietic cells, a leukemia phenotype re-emerged. Differentiated hematopoietic cells from AML iPSCs exhibited exclusively granulocytic-monocytic differentiation in colony forming assays, and serial replating potential in contrast to control iPSCs. When transplanted into immunodeficient mice, hematopoietic cells from AML iPSCs formed aggressive myeloid leukemias as evidenced by peripheral blood and bone marrow CD33+ myeloid engraftment, enlarged spleens, secondary transplant potential, and death from fulminant leukemia. These data indicate that epigenetic reprogramming alone was insufficient to eliminate leukemic behavior. To further investigate these epigenetic changes during reprogramming, we performed DNA methylation and gene expression analysis using 450K BeadChip arrays and RNAseq, respectively. Unsupervised hierarchical clustering demonstrated clustering of undifferentiated AML iPSCs with control iPSCs. In contrast, hematopoietic cells differentiated from AML iPSCs clustered exclusively with primary AML cells. Through gene ontology enrichment analysis, hematopoietic differentiated AML iPSCs were enriched for hypomethylation and gene activation of hematopoietic and leukemogenesis gene sets, including MLL gene targets, as compared to undifferentiated AML iPSCs. These data demonstrate that DNA methylation and gene expression profiles are reset upon epigenetic reprogramming of AML cells, but re-emerge upon hematopoietic differentiation, coinciding with re-emergence of the leukemic phenotype. Lastly, we demonstrated that our AML iPSC model can be used to physically separate and functionally profile genetic subclones within an AML patient. In one patient, we identified distinct AML iPSC genetic subclones (KRAS wildtype and G13D mutant) that could be prospectively separated and demonstrated differential growth properties and therapeutic susceptibilities. To determine the clinical relevance of these subclones, we sequenced this patient at relapse. Strikingly, the KRAS mutant clone, which was dominant at diagnosis, was absent at disease relapse implying relative chemotherapy resistance and competitive outgrowth of the KRAS wildtype subclone. Indeed, in our AML iPSC model, the KRAS wildtype clone demonstrated increased resistance to cytarabine in colony assays. We then investigated in a cohort of AML patients whether cytarabine sensitivity differed between KRAS wildtype and mutant patients. Strikingly, KRAS AML patients were more resistant to cytarabine in vitro compared to KRAS G13D patients. Thus, our AML iPSC model predicted clonal relapse in this patient and identified differential subclonal sensitivity to chemotherapy as a mechanism for relapse. In summary, pluripotent reprogramming of AML resets leukemic methylation/gene expression patterns, facilitates clonal targeting, and predicts subclonal relapse. Disclosures Chao: Forty Seven Inc.: Employment, Equity Ownership, Patents & Royalties. Majeti:Forty Seven Inc.: Consultancy, Equity Ownership, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties.


2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Ryuichi Nakajima ◽  
Hideo Hagihara ◽  
Tsuyoshi Miyakawa

Abstract Aim Experimental animals, such as non-human primates (NHPs), mice, Zebrafish, and Drosophila, are frequently employed as models to gain insights into human physiology and pathology. In developmental neuroscience and related research fields, information about the similarities of developmental gene expression patterns between animal models and humans is vital to choose what animal models to employ. Here, we aimed to statistically compare the similarities of developmental changes of gene expression patterns in the brains of humans with those of animal models frequently used in the neuroscience field. Methods The developmental gene expression datasets that we analyzed consist of the fold-changes and P values of gene expression in the brains of animals of various ages compared with those of the youngest postnatal animals available in the dataset. By employing the running Fisher algorithm in a bioinformatics platform, BaseSpace, we assessed similarities between the developmental changes of gene expression patterns in the human (Homo sapiens) hippocampus with those in the dentate gyrus (DG) of the rhesus monkey (Macaca mulatta), the DG of the mouse (Mus musculus), the whole brain of Zebrafish (Danio rerio), and the whole brain of Drosophila (D. melanogaster). Results Among all possible comparisons of different ages and animals in developmental changes in gene expression patterns within the datasets, those between rhesus monkeys and mice were highly similar to those of humans with significant overlap P-value as assessed by the running Fisher algorithm. There was the highest degree of gene expression similarity between 40–59-year-old humans and 6–12-year-old rhesus monkeys (overlap P-value = 2.1 × 10− 72). The gene expression similarity between 20–39-year-old humans and 29-day-old mice was also significant (overlap P = 1.1 × 10− 44). Moreover, there was a similarity in developmental changes of gene expression patterns between 1–2-year-old Zebrafish and 40–59-year-old humans (Overlap P-value = 1.4 × 10− 6). The overlap P-value of developmental gene expression patterns between Drosophila and humans failed to reach significance (30 days Drosophila and 6–11-year-old humans; overlap P-value = 0.0614). Conclusions These results indicate that the developmental gene expression changes in the brains of the rhesus monkey, mouse, and Zebrafish recapitulate, to a certain degree, those in humans. Our findings support the idea that these animal models are a valid tool for investigating the development of the brain in neurophysiological and neuropsychiatric studies.


2018 ◽  
Vol 30 (1) ◽  
pp. 167
Author(s):  
K. Uh ◽  
J. Ryu ◽  
K. Lee

DNA methylation is one of the principal epigenetic modifications playing an essential role in regulating gene expression. The TET family (1-3) is implicated in initiating the demethylation process by converting 5-methylcytosine (5mC) to 5-hydroxymethyl cytosine (5hmC) during embryogenesis. Previous studies in mice suggest that TET1 is required for pluripotency and maintenance of embryonic stem cells by managing their epigenetic marks, specifically DNA methylation. This raises the possibility that TET1 is capable of establishing distinct epigenetic marks during embryo development, thus regulating pluripotency-related genes. However, this has not been demonstrated in any species. Previously we have demonstrated that the level of TET1 (mRNA and protein) was high in porcine blastocysts. In this study, we generated TET1 knockout embryos and analysed expression patterns of pluripotency-related genes in blastocysts to study the role of TET1 in maintaining pluripotency during porcine embryo development. The CRISPR/Cas9 system was applied to disrupt the TET1 gene during embryogenesis. Three single-guide RNAs (sgRNAs) were designed based on our previous cloning of the TET1 gene. In vitro-synthesised Cas9 mRNA (20 ng µL−1) and sgRNAs (10 ng µL−1 each) were injected into the cytoplasm of zygotes after IVF. A total of 605 zygotes were used for microinjection and subsequently 54 blastocysts were formed. As a control, 89 IVF blastocysts were developed from 240 embryos. Nine to ten blastocysts per group were collected on Day 7 to analyse gene expression patterns of TET family and pluripotency-related genes using quantitative RT-PCR. Three biological and 3 experimental replications were used. Differences in the gene expression were evaluated by ANOVA. As expected, there was a 2-fold decrease in the transcript level of TET1 in TET1-knockout blastocysts compared with that in control IVF blastocysts (P < 0.05). Interestingly, an increase in TET3 mRNA (P < 0.01) and numeric increase of TET2 mRNA was observed in TET1-knockout blastocysts. We could also detect an elevated level of pluripotency-related genes in TET1-knockout blastocysts; the expression of NANOG, ESRRB, ZFP42, and TCL1A was up-regulated. However, there was no significant change in the expression level of other pluripotency-related genes (POU5F1, SOX2, KLF2, PRDM14, and DPPA3) in TET1 knockout blastocysts. In this study, we found that TET1 is involved in regulating expression of pluripotency-related genes: NANOG, ESRRB, ZFP42, and TCL1A. The loss of functional TET1 resulted in elevated expression of these genes. The reason for this is still under investigation, although TET3, known to have a positive correlation with the level of NANOG, could be involved. A 3-fold increase in TET3 mRNA response to the TET1-knockout may suggest a compensatory mechanism between TET1 and TET3 during porcine embryogenesis. To further understand these actions, we intend to analyse DNA methylation (5mc and 5hmc) levels on the promoter region of the genes. In addition, embryos lacking functional TET1 and TET3 will be generated to explore a potential compensatory effect of TET3 under the absence of TET1.


2015 ◽  
Vol 37 (3) ◽  
pp. 203-214 ◽  
Author(s):  
Joshua L. Cohen ◽  
Matthew E. Glover ◽  
Phyllis C. Pugh ◽  
Andrew D. Fant ◽  
Rebecca K. Simmons ◽  
...  

The early-life environment critically influences neurodevelopment and later psychological health. To elucidate neural and environmental elements that shape emotional behavior, we developed a rat model of individual differences in temperament and environmental reactivity. We selectively bred rats for high versus low behavioral response to novelty and found that high-reactive (bred high-responder, bHR) rats displayed greater risk-taking, impulsivity and aggression relative to low-reactive (bred low-responder, bLR) rats, which showed high levels of anxiety/depression-like behavior and certain stress vulnerability. The bHR/bLR traits are heritable, but prior work revealed bHR/bLR maternal style differences, with bLR dams showing more maternal attention than bHRs. The present study implemented a cross-fostering paradigm to examine the contribution of maternal behavior to the brain development and emotional behavior of bLR offspring. bLR offspring were reared by biological bLR mothers or fostered to a bLR or bHR mother and then evaluated to determine the effects on the following: (1) developmental gene expression in the hippocampus and amygdala and (2) adult anxiety/depression-like behavior. Genome-wide expression profiling showed that cross-fostering bLR rats to bHR mothers shifted developmental gene expression in the amygdala (but not hippocampus), reduced adult anxiety and enhanced social interaction. Our findings illustrate how an early-life manipulation such as cross-fostering changes the brain's developmental trajectory and ultimately impacts adult behavior. Moreover, while earlier studies highlighted hippocampal differences contributing to the bHR/bLR phenotypes, our results point to a role of the amygdala as well. Future work will pursue genetic and cellular mechanisms within the amygdala that contribute to bHR/bLR behavior either at baseline or following environmental manipulations.


2015 ◽  
Vol 2015 ◽  
pp. 1-18 ◽  
Author(s):  
Alex Shlemov ◽  
Nina Golyandina ◽  
David Holloway ◽  
Alexander Spirov

Recent progress in microscopy technologies, biological markers, and automated processing methods is making possible the development of gene expression atlases at cellular-level resolution over whole embryos. Raw data on gene expression is usually very noisy. This noise comes from both experimental (technical/methodological) and true biological sources (from stochastic biochemical processes). In addition, the cells or nuclei being imaged are irregularly arranged in 3D space. This makes the processing, extraction, and study of expression signals and intrinsic biological noise a serious challenge for 3D data, requiring new computational approaches. Here, we present a new approach for studying gene expression in nuclei located in a thick layer around a spherical surface. The method includes depth equalization on the sphere, flattening, interpolation to a regular grid, pattern extraction by Shaped 3D singular spectrum analysis (SSA), and interpolation back to original nuclear positions. The approach is demonstrated on several examples of gene expression in the zebrafish egg (a model system in vertebrate development). The method is tested on several different data geometries (e.g., nuclear positions) and different forms of gene expression patterns. Fully 3D datasets for developmental gene expression are becoming increasingly available; we discuss the prospects of applying 3D-SSA to data processing and analysis in this growing field.


2016 ◽  
Vol 311 (6) ◽  
pp. L1245-L1258 ◽  
Author(s):  
Isaac K. Sundar ◽  
Irfan Rahman

Chromatin-modifying enzymes mediate DNA methylation and histone modifications on recruitment to specific target gene loci in response to various stimuli. The key enzymes that regulate chromatin accessibility for maintenance of modifications in DNA and histones, and for modulation of gene expression patterns in response to cigarette smoke (CS), are not known. We hypothesize that CS exposure alters the gene expression patterns of chromatin-modifying enzymes, which then affects multiple downstream pathways involved in the response to CS. We have, therefore, analyzed chromatin-modifying enzyme profiles and validated by quantitative real-time PCR (qPCR). We also performed immunoblot analysis of targeted histone marks in C57BL/6J mice exposed to acute and subchronic CS, and of lungs from nonsmokers, smokers, and patients with chronic obstructive pulmonary disease (COPD). We found a significant increase in expression of several chromatin modification enzymes, including DNA methyltransferases, histone acetyltransferases, histone methyltransferases, and SET domain proteins, histone kinases, and ubiquitinases. Our qPCR validation data revealed a significant downregulation of Dnmt1, Dnmt3a, Dnmt3b, Hdac2, Hdac4, Hat1, Prmt1, and Aurkb. We identified targeted chromatin histone marks (H3K56ac and H4K12ac), which are induced by CS. Thus CS-induced genotoxic stress differentially affects the expression of epigenetic modulators that regulate transcription of target genes via DNA methylation and site-specific histone modifications. This may have implications in devising epigenetic-based therapies for COPD and lung cancer.


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