Gene-regulatory elements may change the amount, timing, or location of gene expression, cis-Regulation therapy platforms might become a gene therapy to treat many genetic diseases

2021 ◽  
Author(s):  
Moataz Dowaidar
Keyword(s):  
Gene Expression ◽  
Genetic Diseases ◽  
Regulatory Elements ◽  
Tissue Type ◽  
Gene Promoters ◽  
Expression Levels ◽  
Cis Regulation ◽  
Gene Regulatory Elements ◽  
Gene Regulatory ◽  
Gene Expression Levels

Changes in gene expression levels above or below a particular threshold may have a dramatic impact on phenotypes, leading to a wide spectrum of human illnesses. Gene-regulatory elements, also known as cis-regulatory elements (CREs), may change the amount, timing, or location (cell/tissue type) of gene expression, whereas mutations in a gene's coding sequence may result in lower or higher gene expression levels resulting in protein loss or gain. Loss-of-function mutations in both genes produce recessive human illness, while haploinsufficient mutations in 65 genes are also known to be deleterious due to function gain, according to the ClinVar1 and ClinGen3 databases. CREs are promoters living near to a gene's transcription start site and switching it on at predefined times, places, and levels. Other distal CREs, like enhancers and silencers, are temporal and tissue-specific control promoters. Enhancers activate promoters, commonly referred to as "promoters," whereas silencers turn them off. Insulators also restrict promiscuous interactions between enhancers and gene promoters. Systematic genomic approaches can help understand the cis-regulatory circuitry of gene expression by highly detecting and functionally defining these CREs. This includes the new use of CRISPR–CRISPR-associated protein 9 (CRISPR–Cas9) and other editing approaches to discover CREs. Cis-Regulation therapy (CRT) provides many promises to heal human ailments. CRT may be used to upregulate or downregulate disease-causing genes due to lower or higher levels of expression, and it may also be used to precisely adjust the expression of genes that assist in alleviating disease features. CRT may employ proteins that generate epigenetic modifications like methylation, histone modification, or gene expression regulation looping. Weighing CRT's advantages and downsides against alternative treatment methods is crucial. CRT platforms might become a practical technique to treat many genetic diseases that now lack treatment alternatives if academics, patient communities, clinicians, regulators and industry work together.

scholarly journals BAP1 constrains pervasive H2AK119ub1 to control the transcriptional potential of the genome

2020 ◽  
Author(s):  
Nadezda A. Fursova ◽  
Anne H. Turberfield ◽  
Neil P. Blackledge ◽  
Emma L. Findlater ◽  
Anna Lastuvkova ◽  
...  
Keyword(s):  
Gene Expression ◽  
Histone Modifications ◽  
Transcription Initiation ◽  
Target Genes ◽  
Regulatory Elements ◽  
Polycomb Group ◽  
Gene Promoters ◽  
Histone H2a ◽  
Gene Regulatory Elements ◽  
Gene Regulatory

AbstractHistone-modifying systems play fundamental roles in gene regulation and the development of multicellular organisms. Histone modifications that are enriched at gene regulatory elements have been heavily studied, but the function of modifications that are found more broadly throughout the genome remains poorly understood. This is exemplified by histone H2A mono-ubiquitylation (H2AK119ub1) which is enriched at Polycomb-repressed gene promoters, but also covers the genome at lower levels. Here, using inducible genetic perturbations and quantitative genomics, we discover that the BAP1 deubiquitylase plays an essential role in constraining H2AK119ub1 throughout the genome. Removal of BAP1 leads to pervasive accumulation of H2AK119ub1, which causes widespread reductions in gene expression. We show that elevated H2AK119ub1 represses gene expression by counteracting transcription initiation from gene regulatory elements, causing reductions in transcription-associated histone modifications. Furthermore, failure to constrain pervasive H2AK119ub1 compromises Polycomb complex occupancy at a subset of Polycomb target genes leading to their derepression, therefore explaining the original genetic characterisation of BAP1 as a Polycomb group gene. Together, these observations reveal that the transcriptional potential of the genome can be modulated by regulating the levels of a pervasive histone modification, without the need for elaborate gene-specific targeting mechanisms.

scholarly journals Distinct roles for CDK-Mediator in controlling Polycomb-dependent chromosomal interactions and priming genes for induction

2021 ◽  
Author(s):  
Emilia Dimitrova ◽  
Angelika Feldmann ◽  
Robin H van der Weide ◽  
Koen D Flach ◽  
Anna Lastuvkova ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Activation ◽  
Embryonic Stem ◽  
Regulatory Elements ◽  
Gene Promoters ◽  
Control Of Gene Expression ◽  
Precise Control ◽  
3D Genome ◽  
Gene Regulatory Elements ◽  
Gene Regulatory

Precise control of gene expression underpins normal development. This relies on mechanisms that enable communication between gene promoters and other regulatory elements. In embryonic stem cells (ESCs), the CDK-Mediator (CDK-MED) complex has been reported to physically link gene regulatory elements to enable gene expression and also prime genes for induction during differentiation. Here we discover that CDK-MED contributes little to 3D genome organisation in ESCs, but has a specific and essential role in controlling interactions between inactive gene regulatory elements bound by Polycomb repressive complexes (PRCs). These interactions are established by the canonical PRC1 (cPRC1) complex but rely on CDK-MED, which facilitates binding of cPRC1 to its target sites. Importantly, through separation of function experiments, we reveal that this collaboration between CDK-MED and cPRC1 in creating long-range interactions does not function to prime genes for induction during differentiation. Instead, we discover that priming relies on an interaction-independent mechanism whereby the CDK module supports core Mediator engagement with gene promoters to enable gene activation.

scholarly journals Binding of an X-Specific Condensin Correlates with a Reduction in Active Histone Modifications at Gene Regulatory Elements

Genetics ◽  
2019 ◽  
Vol 212 (3) ◽  
pp. 729-742 ◽  
Author(s):  
Lena Annika Street ◽  
Ana Karina Morao ◽  
Lara Heermans Winterkorn ◽  
Chen-Yu Jiao ◽  
Sarah Elizabeth Albritton ◽  
...  
Keyword(s):  
Gene Expression ◽  
Histone Modifications ◽  
Chromatin Immunoprecipitation ◽  
Protein Complexes ◽  
Regulatory Elements ◽  
Evolutionarily Conserved ◽  
Chromatin Immunoprecipitation Sequencing ◽  
Gene Regulatory Elements ◽  
Gene Regulatory ◽  
Regulatory Sites

Condensins are evolutionarily conserved protein complexes that are required for chromosome segregation during cell division and genome organization during interphase. In Caenorhabditis elegans, a specialized condensin, which forms the core of the dosage compensation complex (DCC), binds to and represses X chromosome transcription. Here, we analyzed DCC localization and the effect of DCC depletion on histone modifications, transcription factor binding, and gene expression using chromatin immunoprecipitation sequencing and mRNA sequencing. Across the X, the DCC accumulates at accessible gene regulatory sites in active chromatin and not heterochromatin. The DCC is required for reducing the levels of activating histone modifications, including H3K4me3 and H3K27ac, but not repressive modification H3K9me3. In X-to-autosome fusion chromosomes, DCC spreading into the autosomal sequences locally reduces gene expression, thus establishing a direct link between DCC binding and repression. Together, our results indicate that DCC-mediated transcription repression is associated with a reduction in the activity of X chromosomal gene regulatory elements.

scholarly journals Enhancer variants associated with Alzheimer’s disease affect gene expression via chromatin looping

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Masataka Kikuchi ◽  
Norikazu Hara ◽  
Mai Hasegawa ◽  
Akinori Miyashita ◽  
Ryozo Kuwano ◽  
...  
Keyword(s):  
Gene Expression ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Regulatory Elements ◽  
Genome Wide Association Studies ◽  
Expression Levels ◽  
Chromatin Loops ◽  
Coding Regions ◽  
Affect Gene Expression ◽  
Gene Expression Levels

Abstract Background Genome-wide association studies (GWASs) have identified single-nucleotide polymorphisms (SNPs) that may be genetic factors underlying Alzheimer’s disease (AD). However, how these AD-associated SNPs (AD SNPs) contribute to the pathogenesis of this disease is poorly understood because most of them are located in non-coding regions, such as introns and intergenic regions. Previous studies reported that some disease-associated SNPs affect regulatory elements including enhancers. We hypothesized that non-coding AD SNPs are located in enhancers and affect gene expression levels via chromatin loops. Methods To characterize AD SNPs within non-coding regions, we extracted 406 AD SNPs with GWAS p-values of less than 1.00 × 10− 6 from the GWAS catalog database. Of these, we selected 392 SNPs within non-coding regions. Next, we checked whether those non-coding AD SNPs were located in enhancers that typically regulate gene expression levels using publicly available data for enhancers that were predicted in 127 human tissues or cell types. We sought expression quantitative trait locus (eQTL) genes affected by non-coding AD SNPs within enhancers because enhancers are regulatory elements that influence the gene expression levels. To elucidate how the non-coding AD SNPs within enhancers affect the gene expression levels, we identified chromatin-chromatin interactions by Hi-C experiments. Results We report the following findings: (1) nearly 30% of non-coding AD SNPs are located in enhancers; (2) eQTL genes affected by non-coding AD SNPs within enhancers are associated with amyloid beta clearance, synaptic transmission, and immune responses; (3) 95% of the AD SNPs located in enhancers co-localize with their eQTL genes in topologically associating domains suggesting that regulation may occur through chromatin higher-order structures; (4) rs1476679 spatially contacts the promoters of eQTL genes via CTCF-CTCF interactions; (5) the effect of other AD SNPs such as rs7364180 is likely to be, at least in part, indirect through regulation of transcription factors that in turn regulate AD associated genes. Conclusion Our results suggest that non-coding AD SNPs may affect the function of enhancers thereby influencing the expression levels of surrounding or distant genes via chromatin loops. This result may explain how some non-coding AD SNPs contribute to AD pathogenesis.

scholarly journals CDK-Mediator and FBXL19 prime developmental genes for activation by promoting atypical regulatory interactions

2020 ◽  
Vol 48 (6) ◽  
pp. 2942-2955 ◽  
Author(s):  
Angelika Feldmann ◽  
Emilia Dimitrova ◽  
Alexander Kenney ◽  
Anna Lastuvkova ◽  
Robert J Klose
Keyword(s):  
Cpg Island ◽  
Gene Activation ◽  
Embryonic Stem ◽  
Regulatory Elements ◽  
Gene Induction ◽  
Gene Promoters ◽  
Developmental Gene ◽  
Gene Regulatory Elements ◽  
Gene Regulatory ◽  
Distal Regulatory Elements

Abstract Appropriate developmental gene regulation relies on the capacity of gene promoters to integrate inputs from distal regulatory elements, yet how this is achieved remains poorly understood. In embryonic stem cells (ESCs), a subset of silent developmental gene promoters are primed for activation by FBXL19, a CpG island binding protein, through its capacity to recruit CDK-Mediator. How mechanistically these proteins function together to prime genes for activation during differentiation is unknown. Here we discover that in mouse ESCs FBXL19 and CDK-Mediator support long-range interactions between silent gene promoters that rely on FBXL19 for their induction during differentiation and gene regulatory elements. During gene induction, these distal regulatory elements behave in an atypical manner, in that the majority do not acquire histone H3 lysine 27 acetylation and no longer interact with their target gene promoter following gene activation. Despite these atypical features, we demonstrate by targeted deletions that these distal elements are required for appropriate gene induction during differentiation. Together these discoveries demonstrate that CpG-island associated gene promoters can prime genes for activation by communicating with atypical distal gene regulatory elements to achieve appropriate gene expression.

scholarly journals The interdependence of gene-regulatory elements and the 3D genome

2018 ◽  
Vol 218 (1) ◽  
pp. 12-26 ◽  
Author(s):  
Marit W. Vermunt ◽  
Di Zhang ◽  
Gerd A. Blobel
Keyword(s):  
Gene Expression ◽  
Molecular Mechanisms ◽  
Regulatory Elements ◽  
3D Genome ◽  
Gene Positioning ◽  
Transcriptional Changes ◽  
Gene Regulatory Elements ◽  
Chromatin Folding ◽  
Gene Regulatory ◽  
Relationship Of

Imaging studies, high-resolution chromatin conformation maps, and genome-wide occupancy data of architectural proteins have revealed that genome topology is tightly intertwined with gene expression. Cross-talk between gene-regulatory elements is often organized within insulated neighborhoods, and regulatory cues that induce transcriptional changes can reshape chromatin folding patterns and gene positioning within the nucleus. The cause–consequence relationship of genome architecture and gene expression is intricate, and its molecular mechanisms are under intense investigation. Here, we review the interdependency of transcription and genome organization with emphasis on enhancer–promoter contacts in gene regulation.

scholarly journals Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Jan Zrimec ◽  
Christoph S. Börlin ◽  
Filip Buric ◽  
Azam Sheikh Muhammad ◽  
Rhongzen Chen ◽  
...  
Keyword(s):  
Gene Expression ◽  
Deep Learning ◽  
Regulatory Elements ◽  
Mrna Abundance ◽  
Model Organisms ◽  
Mrna Levels ◽  
Regulatory Structure ◽  
Expression Levels ◽  
Coding Regions ◽  
Gene Regulatory

AbstractUnderstanding the genetic regulatory code governing gene expression is an important challenge in molecular biology. However, how individual coding and non-coding regions of the gene regulatory structure interact and contribute to mRNA expression levels remains unclear. Here we apply deep learning on over 20,000 mRNA datasets to examine the genetic regulatory code controlling mRNA abundance in 7 model organisms ranging from bacteria to Human. In all organisms, we can predict mRNA abundance directly from DNA sequence, with up to 82% of the variation of transcript levels encoded in the gene regulatory structure. By searching for DNA regulatory motifs across the gene regulatory structure, we discover that motif interactions could explain the whole dynamic range of mRNA levels. Co-evolution across coding and non-coding regions suggests that it is not single motifs or regions, but the entire gene regulatory structure and specific combination of regulatory elements that define gene expression levels.

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