scholarly journals Leveraging the Mendelian disorders of the epigenetic machinery to systematically map functional epigenetic variation

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Teresa Romeo Luperchio ◽  
Leandros Boukas ◽  
Li Zhang ◽  
Genay Pilarowski ◽  
Jenny Jiang ◽  
...  

Although each Mendelian Disorder of the Epigenetic Machinery (MDEM) has a different causative gene, there are shared disease manifestations. We hypothesize that this phenotypic convergence is a consequence of shared epigenetic alterations. To identify such shared alterations, we interrogate chromatin (ATAC-seq) and expression (RNA-seq) states in B cells from three MDEM mouse models (Kabuki [KS] type 1 and 2 and Rubinstein-Taybi type 1 [RT1] syndromes). We develop a new approach for the overlap analysis and find extensive overlap primarily localized in gene promoters. We show that disruption of chromatin accessibility at promoters often disrupts downstream gene expression, and identify 587 loci and 264 genes with shared disruption across all three MDEMs. Subtle expression alterations of multiple, IgA-relevant genes, collectively contribute to IgA deficiency in KS1 and RT1, but not in KS2. We propose that the joint study of MDEMs offers a principled approach for systematically mapping functional epigenetic variation in mammals.

2020 ◽  
Author(s):  
Teresa R. Luperchio ◽  
Leandros Boukas ◽  
Li Zhang ◽  
Genay O. Pilarowski ◽  
Jenny Jiang ◽  
...  

AbstractThe Mendelian Disorders of the Epigenetic Machinery (MDEMs) have emerged as a class of Mendelian disorders caused by loss-of-function variants in epigenetic regulators. Although each MDEM has a different causative gene, they exhibit several overlapping disease manifestations. Here, we hypothesize that this phenotypic convergence is a consequence of common abnormalities at the epigenomic level, which directly or indirectly lead to downstream convergence at the transcriptomic level. Therefore, we seek to identify abnormalities shared across multiple MDEMs, in order to pinpoint locations where epigenetic variation is causally related to disease phenotypes. To this end, we perform a comprehensive interrogation of chromatin (ATAC-Seq) and expression (RNA-Seq) states in B cells from mouse models of three MDEMs (Kabuki types 1&2 and Rubinstein-Taybi syndromes). We build on recent work in covariate-powered multiple testing to develop a new approach for the overlap analysis, which enables us to find extensive overlap primarily localized in gene promoters. We show that disruption of chromatin accessibility at promoters often leads to disruption of downstream gene expression, and identify 463 loci and 249 genes with shared disruption across all three MDEMs. As an example of how widespread dysregulation leads to specific phenotypes, we show that subtle expression alterations of multiple, IgA-relevant genes, collectively contribute to IgA deficiency in KS1 and RT1. In contrast, we predict that KS2 does not have IgA deficiency, and confirm this observation in vivo. We propose that the joint study of MDEMs offers a principled approach for systematically mapping functional epigenetic variation in mammals.


2016 ◽  
Vol 2016 ◽  
pp. 1-20 ◽  
Author(s):  
I. De Toma ◽  
L. Manubens Gil ◽  
S. Ossowski ◽  
M. Dierssen

One of the most challenging questions in neuroscience is to dissect how learning and memory, the foundational pillars of cognition, are grounded in stable, yet plastic, gene expression states. All known epigenetic mechanisms such as DNA methylation and hydroxymethylation, histone modifications, chromatin remodelling, and noncoding RNAs regulate brain gene expression, both during neurodevelopment and in the adult brain in processes related to cognition. On the other hand, alterations in the various components of the epigenetic machinery have been linked to well-known causes of intellectual disability disorders (IDDs). Two examples are Down Syndrome (DS) and Fragile X Syndrome (FXS), where global and local epigenetic alterations lead to impairments in synaptic plasticity, memory, and learning. Since epigenetic modifications are reversible, it is theoretically possible to use epigenetic drugs as cognitive enhancers for the treatment of IDDs. Epigenetic treatments act in a context specific manner, targeting different regions based on cell and state specific chromatin accessibility, facilitating the establishment of the lost balance. Here, we discuss epigenetic studies of IDDs, focusing on DS and FXS, and the use of epidrugs in combinatorial therapies for IDDs.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 855-855
Author(s):  
Eugene Khandros ◽  
Peng Huang ◽  
Scott A. Peslak ◽  
Malini Sharma ◽  
Osheiza Abdulmalik ◽  
...  

Abstract Reversal of the developmental switch from fetal (HbF, α 2γ 2) to adult (HbA,α 2β 2) hemoglobin is an important therapeutic approach for sickle cell disease (SCD) and β-thalassemia. It has been noted since the 1950s that a small number of circulating red blood cells, called F-cells, produce elevated levels of HbF; these cells are resistant to sickling and are present in increased numbers in patients with SCD and those treated with pharmacological HbF inducers such as hydroxyurea. Because successful therapy for SCD requires increasing the number of F-cells, it is imperative to understand how these cells arise. This can potentially occur through a shift towards a global fetal-like program, selective variation in levels of known HbF silencers such as BCL11A or LRF, or through discrete epigenetic changes at the β-globin locus. We previously began to address this clinically important question using a novel experimental approach of sorting cultured primary human erythroblasts into HbF-high (F-cell) and HbF-low (A-cell) populations (Khandros et al, Blood 2020). We showed that surprisingly, F-cells from healthy donor primary erythroid cultures have minimal transcriptional differences with A-cells. Unexpectedly, this was also the case when comparing responders (F-cells) and non-responders (A-cells) to treatment with the HbF inducers pomalidomide and hydroxyurea, and there were no differences in the expression of known HbF regulators. We therefore hypothesize that HbF synthesis in F-cells is determined by epigenetic variation confined to the β-globin locus (and not by global changes in the cell fate or nuclear milieu). To test this hypothesis, we compared genome wide chromatin accessibility by Assay for Transposase-Accessible Chromatin (ATAC-seq) in differentiation stage-matched F- and A-cells from healthy donor primary erythroid cultures, treated with vehicle, hydroxyurea, or pomalidomide. We observed striking similarities between F- and A-cells: out of 83,295 peaks called across all conditions, a mere five regions of differential accessibility were found, all at the β-globin locus (at the promoters and 3' UTR regions of the HBG1 and HBG2 genes as well as the BGLT3 non-coding RNA and HBBP1 pseudogene). This remarkable similarity in the global chromatin landscape between A- and F-cells cements the notion that these cells are fundamentally the same in terms of developmental and differentiation states, and that local epigenetic variation at the β-globin locus underlies the differences in HbF production. We also found that the gains in ATAC signal at the HBG1/2 genes were the most pronounced in F-cells from pomalidomide treated cultures, consistent with our finding that F-cells that arise following pomalidomide treatment have a higher content of HBG1/2 transcripts per cell. Drug treatments led to a larger number of changes in ATAC-seq peaks, at 123 and 1015 sites for treatment with hydroxyurea or pomalidomide, respectively, compared to vehicle. However, since differences at only 5 ATAC-seq peaks were observed between between F- and A-cells, we infer that the broader changes upon drug treatment are not needed for the phenotypic differences between F- and A-cells. Since transcription of the β-type globin genes is controlled by developmental stage-specific long-range contacts between the gene promoters and the locus control region (LCR), we determined whether the increase chromatin accessibility at the γ-globin genes in F-cells was associated with enhanced contacts with the LCR. Capture-C experiments revealed increased LCR-HBG1/2 promoter contacts and reduced LCR contacts with the adult HBB and HBD promoters in F-cells vs A-cells, demonstrating that local gains in chromatin accessibility are linked to long-range enhancer promoter contacts. Additionally, we did not detect differences in long-range chromatin contacts at several developmentally regulated genes, including LIN28B and BCL11A, solidifying the idea that γ-globin production in F-cells is specified locally through chromatin accessibility and chromatin architecture. In sum, our studies demonstrate that in adults, F-cells do not arise through reversion to a fetal like state or variation in expression of any known HbF regulator. Rather these cells reflect highly localized, perhaps stochastic modulation of chromatin architecture at the β-globin locus. Disclosures Blobel: Fulcrum Therapeutics, Inc.: Consultancy; Pfizer: Consultancy.


BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Zhiwei Chen ◽  
Longhua Zhou ◽  
Panpan Jiang ◽  
Ruiju Lu ◽  
Nigel G. Halford ◽  
...  

Abstract Background Sucrose nonfermenting-1 (SNF1)-related protein kinases (SnRKs) play important roles in regulating metabolism and stress responses in plants, providing a conduit for crosstalk between metabolic and stress signalling, in some cases involving the stress hormone, abscisic acid (ABA). The burgeoning and divergence of the plant gene family has led to the evolution of three subfamilies, SnRK1, SnRK2 and SnRK3, of which SnRK2 and SnRK3 are unique to plants. Therefore, the study of SnRKs in crops may lead to the development of strategies for breeding crop varieties that are more resilient under stress conditions. In the present study, we describe the SnRK gene family of barley (Hordeum vulgare), the widespread cultivation of which can be attributed to its good adaptation to different environments. Results The barley HvSnRK gene family was elucidated in its entirety from publicly-available genome data and found to comprise 50 genes. Phylogenetic analyses assigned six of the genes to the HvSnRK1 subfamily, 10 to HvSnRK2 and 34 to HvSnRK3. The search was validated by applying it to Arabidopsis (Arabidopsis thaliana) and rice (Oryza sativa) genome data, identifying 50 SnRK genes in rice (four OsSnRK1, 11 OsSnRK2 and 35 OsSnRK3) and 39 in Arabidopsis (three AtSnRK1, 10 AtSnRK2 and 26 AtSnRK3). Specific motifs were identified in the encoded barley proteins, and multiple putative regulatory elements were found in the gene promoters, with light-regulated elements (LRE), ABA response elements (ABRE) and methyl jasmonate response elements (MeJa) the most common. RNA-seq analysis showed that many of the HvSnRK genes responded to ABA, some positively, some negatively and some with complex time-dependent responses. Conclusions The barley HvSnRK gene family is large, comprising 50 members, subdivided into HvSnRK1 (6 members), HvSnRK2 (10 members) and HvSnRK3 (34 members), showing differential positive and negative responses to ABA.


Diabetes ◽  
2021 ◽  
pp. db210110
Author(s):  
Yinqiu Wang ◽  
Aolei Niu ◽  
Yu Pan ◽  
Shirong Cao ◽  
Andrew S. Terker ◽  
...  
Keyword(s):  

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 73 ◽  
Author(s):  
Alberto Falchetti

Despite its identification in 1997, the functions of the MEN1 gene—the main gene underlying multiple endocrine neoplasia type 1 syndrome—are not yet fully understood. In addition, unlike the RET—MEN2 causative gene—no hot-spot mutational areas or genotype–phenotype correlations have been identified. More than 1,300 MEN1 gene mutations have been reported and are mostly "private” (family specific). Even when mutations are shared at an intra- or inter-familial level, the spectrum of clinical presentation is highly variable, even in identical twins. Despite these inherent limitations for genetic counseling, identifying MEN1 mutations in individual carriers offers them the opportunity to have lifelong clinical surveillance schemes aimed at revealing MEN1-associated tumors and lesions, dictates the timing and scope of surgical procedures, and facilitates specific mutation analysis of relatives to define presymptomatic carriers.


Animals ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 344 ◽  
Author(s):  
Bryan Irvine Lopez ◽  
Kier Gumangan Santiago ◽  
Donghui Lee ◽  
Seungmin Ha ◽  
Kangseok Seo

Immune response of 107 vaccinated Holstein cattle was initially obtained prior to the ELISA test. Five cattle with high and low bovine viral diarrhea virus (BVDV) type I antibody were identified as the final experimental animals. Blood samples from these animals were then utilized to determine significant differentially expressed genes (DEGs) using the RNA-seq transcriptome analysis and enrichment analysis. Our analysis identified 261 DEGs in cattle identified as experimental animals. Functional enrichment analysis in gene ontology (GO) annotations and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways revealed the DEGs potentially induced by the inactivated BVDV type I vaccine, and might be responsible for the host immune responses. Our findings suggested that inactivated vaccine induced upregulation of genes involved in different GO annotations, including antigen processing and presentation of peptide antigen (via MHC class I), immune response, and positive regulation of interferon-gamma production. The observed downregulation of other genes involved in immune response might be due to inhibition of toll-like receptors (TLRs) by the upregulation of the Bcl-3 gene. Meanwhile, the result of KEGG pathways revealed that the majority of DEGs were upregulated and enriched to different pathways, including cytokine-cytokine receptor interaction, platelet activation, extracellular matrix (ECM) receptor interaction, hematopoietic cell lineage, and ATP-binding cassette (ABC) transporters. These significant pathways supported our initial findings and are known to play a vital role in shaping adaptive immunity against BVDV type 1. In addition, type 1 diabetes mellitus pathways tended to be significantly enriched. Thus, further studies are needed to investigate the prevalence of type 1 diabetes mellitus in cattle vaccinated with inactivated and live BVDV vaccine.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 812-812
Author(s):  
Mudit Chaand ◽  
Chris Fiore ◽  
Brian T Johnston ◽  
Diane H Moon ◽  
John P Carulli ◽  
...  

Human beta-like globin gene expression is developmentally regulated. Erythroblasts (EBs) derived from fetal tissues, such as umbilical cord blood (CB), primarily express gamma globin mRNA (HBG) and HbF, while EBs derived from adult tissues, such as bone marrow (BM), predominantly express beta globin mRNA (HBB) and adult hemoglobin. Human genetics has validated de-repression of HBG in adult EBs as a powerful therapeutic paradigm in diseases involving defective HBB, such as sickle cell anemia. To identify novel factors involved in the switch from HBG to HBB expression, and to better understand the global regulatory networks driving the fetal and adult cell states, we performed transcriptome profiling (RNA-seq) and chromatin accessibility profiling (ATAC-seq) on sorted EB cell populations from CB or BM. This approach improves upon previous studies that used unsorted cells (Huang J, Dev Cell 2016) or that did not measure chromatin accessibility (Yan H, Am J Hematol 2018). CD34+ cells from CB and BM were differentiated using a 3-phase in vitro culture system (Giarratana M, Blood 2011). Fluorescence-activated cell sorting and the cell surface markers CD36 and GYPA were used to isolate 7 discrete populations, with each sorting gate representing increasingly mature, stage-matched EBs from CB or BM (Fig 1A, B). RNA-seq analysis revealed expected expression patterns of the beta-like globins, with total levels increasing during erythroid maturation and primarily composed of HBB or HBG transcripts in BM or CB, respectively (Fig 1C). Erythroid maturation led to progressive increases in chromatin accessibility at the HBB promoter in BM populations. In CB-derived cells, erythroid maturation led to progressive increases in chromatin accessibility at the HBG promoters through the CD36+GYPA+ stage (Pops 1-5). Chromatin accessibility shifted from the HBG promoters to the HBB promoter during the final stages of differentiation (Pops 6-7), suggesting that HBG gene activation is transient in CB EBs (Fig 1D). Hierarchical clustering and principal component analysis of ATAC-seq data revealed that cell populations cluster based on differentiation stage rather than by BM or CB lineage, suggesting most molecular changes are stage-specific, not lineage-specific (Fig 2A, B). To identify transcription factors driving cell state, and potentially beta-like globin expression preference, we searched for DNA binding motifs within regions of differential chromatin accessibility and found NFI factor motifs enriched under peaks that were larger in BM relative to CB (Fig 2C). Transcription factor footprinting analysis showed that both flanking accessibility and footprint depth at NFI motifs were also increased in BM relative to CB (Fig 2D). Increased chromatin accessibility was observed at the NFIX promoter in BM relative to CB populations, and in HUDEP-2 relative to HUDEP-1 cell lines (Fig 2E). Furthermore, accessibility at the NFIX promoter correlated with elevated NFIX mRNA in BM and HUDEP-2 relative to CB and HUDEP-1, respectively. Together these data implicated NFIX in HbF repression, a finding consistent with previous genome-wide association and DNA methylation studies that suggested a possible role for NFIX in regulating beta-like globin gene expression (Fabrice D, Nat Genet 2016; Lessard S, Genome Med 2015). To directly test the hypothesis that NFIX represses HbF, short hairpin RNAs were used to knockdown (KD) NFIX in primary erythroblasts derived from human CD34+ BM cells (Fig 3A). NFIX KD led to a time-dependent induction of HBG mRNA, HbF, and F-cells comparable to KD of the known HbF repressor BCL11A (Fig 3B-D). A similar effect on HbF was observed in HUDEP-2 cells following NFIX KD (Fig 3E). Consistent with HbF induction, NFIX KD also increased chromatin accessibility and decreased DNA methylation at the HBG promoters in primary EBs (Fig 3F, G). NFIX KD led to a delay in erythroid differentiation as measured by CD36 and GYPA expression (Fig 3H). Despite this delay, by day 14 a high proportion of fully enucleated erythroblasts was observed, suggesting NFIX KD cells are capable of terminal differentiation (Fig 3H). Collectively, these data have enabled identification and validation of NFIX as a novel repressor of HbF, a finding that enhances the understanding of beta-like globin gene regulation and has potential implications in the development of therapeutics for sickle cell disease. Disclosures Chaand: Syros Pharmaceuticals: Employment, Equity Ownership. Fiore:Syros Pharmaceuticals: Employment, Equity Ownership. Johnston:Syros Pharmaceuticals: Employment, Equity Ownership. Moon:Syros Pharmaceuticals: Employment, Equity Ownership. Carulli:Syros Pharmaceuticals: Employment, Equity Ownership. Shearstone:Syros Pharmaceuticals: Employment, Equity Ownership.


2020 ◽  
Author(s):  
Grigorios Georgolopoulos ◽  
Mineo Iwata ◽  
Nikoletta Psatha ◽  
Andrew Nishida ◽  
Tannishtha Som ◽  
...  

AbstractLineage commitment and differentiation is driven by the concerted action of master transcriptional regulators at their target chromatin sites. Multiple efforts have characterized the key transcription factors (TFs) that determine the various hematopoietic lineages. However, the temporal interactions between individual TFs and their chromatin targets during differentiation and how these interactions dictate lineage commitment remains poorly understood. We performed dense, daily, temporal profiling of chromatin accessibility (DNase I-seq) and gene expression changes (total RNA-seq) along ex vivo human erythropoiesis to comprehensively define developmentally regulated DNase I hypersensitive sites (DHSs) and transcripts. We link both distal DHSs to their target gene promoters and individual TFs to their target DHSs, revealing that the regulatory landscape is organized in distinct sequential regulatory modules that regulate lineage restriction and maturation. Finally, direct comparison of transcriptional dynamics (bulk and single-cell) and lineage potential between erythropoiesis and megakaryopoiesis illuminates the fine-scale temporal dynamics of these regulatory modules during lineage-resolution between these two fates. Collectively, these data provide novel insights into the global regulatory landscape during hematopoiesis.


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