Epigenomic Profiling and Single-Nucleus-RNA-Seq Reveal Cis-Regulatory Elements in Human Retina, Macula and RPE and Non-Coding Genetic Variation

2018 ◽  
Author(s):  
Timothy J. Cherry ◽  
Marty G. Yang ◽  
David A. Harmin ◽  
Peter Tao ◽  
Andrew E. Timms ◽  
...  
Keyword(s):  
Gene Expression ◽  
Genetic Variation ◽  
Complex Traits ◽  
Retinal Pigment ◽  
Regulatory Elements ◽  
Human Vision ◽  
Specific Gene ◽  
Tissue Specific ◽  
Complex Disorders ◽  
Regulatory Variation

ABSTRACTCis-regulatory elements (CREs) orchestrate the dynamic and diverse transcriptional programs that assemble the human central nervous system (CNS) during development and maintain its function throughout life. Genetic variation within CREs plays a central role in phenotypic variation in complex traits including the risk of developing disease. However, the cellular complexity of the human brain has largely precluded the identification of functional regulatory variation within the human CNS. We took advantage of the retina, a well-characterized region of the CNS with reduced cellular heterogeneity, to establish a roadmap for characterizing regulatory variation in the human CNS. This comprehensive resource of tissue-specific regulatory elements, transcription factor binding, and gene expression programs in three regions of the human visual system (retina, macula, retinal pigment epithelium/choroid) reveals features of regulatory element evolution that shape tissue-specific gene expression programs and defines the regulatory elements with the potential to contribute to mendelian and complex disorders of human vision.

scholarly journals Mapping the cis-regulatory architecture of the human retina reveals noncoding genetic variation in disease

2020 ◽  
Vol 117 (16) ◽  
pp. 9001-9012 ◽  
Author(s):  
Timothy J. Cherry ◽  
Marty G. Yang ◽  
David A. Harmin ◽  
Peter Tao ◽  
Andrew E. Timms ◽  
...  
Keyword(s):  
Gene Expression ◽  
Genetic Variation ◽  
Complex Traits ◽  
Pigment Epithelium ◽  
Retinal Pigment ◽  
Regulatory Elements ◽  
Human Vision ◽  
Specific Gene ◽  
Tissue Specific ◽  
Complex Disorders

The interplay of transcription factors and cis-regulatory elements (CREs) orchestrates the dynamic and diverse genetic programs that assemble the human central nervous system (CNS) during development and maintain its function throughout life. Genetic variation within CREs plays a central role in phenotypic variation in complex traits including the risk of developing disease. We took advantage of the retina, a well-characterized region of the CNS known to be affected by pathogenic variants in CREs, to establish a roadmap for characterizing regulatory variation in the human CNS. This comprehensive analysis of tissue-specific regulatory elements, transcription factor binding, and gene expression programs in three regions of the human visual system (retina, macula, and retinal pigment epithelium/choroid) reveals features of regulatory element evolution that shape tissue-specific gene expression programs and defines regulatory elements with the potential to contribute to Mendelian and complex disorders of human vision.

scholarly journals Tissue-specific sex differences in human gene expression

2019 ◽  
Vol 28 (17) ◽  
pp. 2976-2986 ◽  
Author(s):  
Irfahan Kassam ◽  
Yang Wu ◽  
Jian Yang ◽  
Peter M Visscher ◽  
Allan F McRae
Keyword(s):  
Gene Expression ◽  
Sex Differences ◽  
Complex Traits ◽  
Tissue Expression ◽  
Regulatory Elements ◽  
Tissue Specific ◽  
Significance Threshold ◽  
Expression Of Genes ◽  
Causal Variants ◽  
Similar Distance

Abstract Despite extensive sex differences in human complex traits and disease, the male and female genomes differ only in the sex chromosomes. This implies that most sex-differentiated traits are the result of differences in the expression of genes that are common to both sexes. While sex differences in gene expression have been observed in a range of different tissues, the biological mechanisms for tissue-specific sex differences (TSSDs) in gene expression are not well understood. A total of 30 640 autosomal and 1021 X-linked transcripts were tested for heterogeneity in sex difference effect sizes in n = 617 individuals across 40 tissue types in Genotype–Tissue Expression (GTEx). This identified 65 autosomal and 66 X-linked TSSD transcripts (corresponding to unique genes) at a stringent significance threshold. Results for X-linked TSSD transcripts showed mainly concordant direction of sex differences across tissues and replicate previous findings. Autosomal TSSD transcripts had mainly discordant direction of sex differences across tissues. The top cis-expression quantitative trait loci (eQTLs) across tissues for autosomal TSSD transcripts are located a similar distance away from the nearest androgen and estrogen binding motifs and the nearest enhancer, as compared to cis-eQTLs for transcripts with stable sex differences in gene expression across tissue types. Enhancer regions that overlap top cis-eQTLs for TSSD transcripts, however, were found to be more dispersed across tissues. These observations suggest that androgen and estrogen regulatory elements in a cis region may play a common role in sex differences in gene expression, but TSSD in gene expression may additionally be due to causal variants located in tissue-specific enhancer regions.

scholarly journals Predicting tissue-specific gene expression from whole blood transcriptome

2020 ◽  
Author(s):  
Mahashweta Basu ◽  
Kun Wang ◽  
Eytan Ruppin ◽  
Sridhar Hannenhalli
Keyword(s):  
Gene Expression ◽  
Whole Blood ◽  
Specific Gene ◽  
Specific Expression ◽  
Tissue Specific ◽  
Complex Disorders ◽  
Tissue Specific Gene ◽  
Tissue Specific Expression ◽  
Specific Gene Expression ◽  
Blood Transcriptome

AbstractComplex diseases are systemic, largely mediated via transcriptional dysregulation in multiple tissues. Thus, knowledge of tissue-specific transcriptome in an individual can provide important information about an individual’s health. Unfortunately, with a few exceptions such as blood, skin, and muscle, an individual’s tissue-specific transcriptome is not accessible through non-invasive means. However, due to shared genetics and regulatory programs between tissues, the transcriptome in blood may be predictive of those in other tissues, at least to some extent. Here, based on GTEx data, we address this question in a rigorous, systematic manner, for the first time. We find that an individual’s whole blood gene expression and splicing profile can predict tissue-specific expression levels in a significant manner (beyond demographic variables) for many genes. On average, across 32 tissues, the expression of about 60% of the genes is predictable from blood expression in a significant manner, with a maximum of 81% of the genes for the musculoskeletal tissue. Remarkably, the tissue-specific expression inferred from the blood transcriptome is almost as good as the actual measured tissue expression in predicting disease state for six different complex disorders, including Hypertension and Type 2 diabetes, substantially surpassing predictors built directly from the blood transcriptome. The code for our pipeline for tissue-specific gene expression prediction – TEEBoT, is provided, enabling others to study its potential translational value in other indications.

scholarly journals SNPnotes: high-throughput tissue-specific functional annotation of single nucleotide variants

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 1784
Author(s):  
Shraddha Pai ◽  
Michael J. Apostolides ◽  
Andrew Jung ◽  
Matthew A. Moss
Keyword(s):  
Gene Expression ◽  
Gene Mapping ◽  
High Throughput ◽  
Regulatory Elements ◽  
Specific Gene ◽  
Tissue Specific ◽  
Functional Variants ◽  
Genome Regulation ◽  
Organ Systems ◽  
Variant Gene

A key challenge in the application of whole-genome sequencing (WGS) for clinical diagnostic and research is the high-throughput prioritization of functional variants in the non-coding genome. This challenge is compounded by context-specific genetic modulation of gene expression, and variant-gene mapping depends on the tissues and organ systems affected in a given disease; for instance, a disease affecting the gastrointestinal system would use maps specific to genome regulation in gut-related tissues. While there are large-scale atlases of genome regulation, such as GTEx and NIH Roadmap Epigenomics, the clinical genetics community lacks publicly-available stand-alone software for high-throughput annotation of custom variant data with user-defined tissue-specific epigenetic maps and clinical genetic databases, to prioritize variants for a specific biomedical application. In this work, we provide a simple software pipeline, called SNPnotes, which takes as input variant calls for a patient and prioritizes those using information on clinical relevance from ClinVar, tissue-specific gene regulation from GTEx and disease associations from the NHGRI-EBI GWAS catalogue. This pipeline was developed as part of SVAI Research's "Undiagnosed-1" event for collaborative patient diagnosis. We applied this pipeline to WGS-based variant calls for an individual with a history of gastrointestinal symptoms, using 12 gut-specific eQTL maps and GWAS associations for metabolic diseases, for variant-gene mapping. Out of 6,248,584 SNPs, the pipeline identified 151 high-priority variants, overlapping 129 genes. These top SNPs all have known clinical pathogenicity, modulate gene expression in gut tissues and have genetic associations with metabolic disorders, and serve as starting points for hypotheses about mechanisms driving clinical symptoms. Simple software changes can be made to customize the pipeline for other tissue-specific applications. Future extensions could integrate maps of tissue-specific regulatory elements, higher-order chromatin loops, and mutations affecting splice variants.

A modified pod specific promoter for high level heterologous expression of genes in legumes

2019 ◽  
Author(s):  
Aravind Kumar Konda ◽  
Pallavi Singh ◽  
Khela Ram Soren ◽  
Narendra Pratap Singh
Keyword(s):  
Gene Expression ◽  
Regulatory Elements ◽  
Specific Gene ◽  
Specific Expression ◽  
Tissue Specific ◽  
Cis Acting ◽  
Inducible Promoters ◽  
Expression Of Genes ◽  
Enhanced Expression ◽  
High Level

Promoters are cis-acting regulatory elements that are usually present upstream to the coding sequences and determine the gene expression. Deployment of tissue specific and inducible promoters are constantly increasing for development of successful and stable multiple transgenic plants. To this end, as a strategy for enhanced expression of cis or transgenes, promoter engineering of the native msg promoter from soya bean has been carried out for executing pod specific expression of genes. Cis regulatory elements such as 5’UTR and poly (A) tract have been incorporated for imparting mRNA stability and translational enhancement to generate the modified 1.285 Kb pod specific promoter. Further to attain transcriptional enhancement the modified promoter has been cloned to generate Bi-directional Duplex Promoters (BDDP). The engineered msg promoter gene constructs can be deployed for high level tissue specific gene expression of cis/trans genes along with chosen terminator in chickpea. soybean and other legumes as well.

Epigenetics of Cellular Memory: Insights from the Chromatin Accessibility Landscape of the Mitotic Genome

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 4342-4342
Author(s):  
Chris C.S. Hsiung ◽  
Christapher Morrissey ◽  
Maheshi Udugama ◽  
Christopher Frank ◽  
Cheryl A. Keller ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cell Cycle ◽  
Transcription Factors ◽  
Regulatory Elements ◽  
Chromatin Accessibility ◽  
Dnase I ◽  
Specific Gene ◽  
Tissue Specific ◽  
Dnase I Sensitivity ◽  
Mitotic Chromatin

Abstract Normal development requires the coordination of cell cycle progression and gene expression to produce physiologically appropriate cell numbers of various lineages. The concomitant dysregulation of these two cellular programs is central to many malignant and non-malignant hematologic diseases, yet researchers still lack clear, general principles of how intrinsic properties of cell division could influence transcriptional regulation. Mitosis is a unique phase of the cell cycle that dramatically disrupts transcription: chromosomes condense to form microscopically recognizable structures, the nucleus is disassembled, RNA synthesis ceases, and the transcription machinery and many transcription factors are evicted from mitotic chromatin. How cells “remember” tissue-specific transcriptional programs through mitotic divisions remains largely unknown. Some transcription factors, including the erythroid master regulator, GATA1, and certain chromatin features are known to remain associated with DNA during mitosis. These molecular entities have been proposed to serve as mitotic “bookmarks” -- molecules that store gene regulatory information at individual loci through mitosis. However, we have limited knowledge of the composition, mechanism and function of mitotic bookmarks. In this context, chromatin structure deserves special consideration, as chromosome condensation during mitosis could potentially hinder transcription factor binding. To obtain the first genome-wide view of chromatin accessibility during mitosis, we mapped the DNase I sensitivity of the interphase versus mitotic genome in two maturation stages in a murine erythroblast cell line, G1E. Despite microscopic condensation of chromosomes during mitosis, we found that DNase I sensitivity is extensively preserved throughout the mappable genome, indicating that mitotic chromatin is not as condensed as commonly presumed. Individual genes and cis-regulatory elements can maintain all, part of, or none of its interphase accessibility during mitosis, demonstrating that accessibility of mitotic chromatin is locally specified. Promoters generally maintain accessibility during mitosis; moreover, promoters with the highest degree of accessibility preservation in mitosis in G1E cells tend to also be accessible across many murine tissues in interphase. In contrast to promoters, we found that enhancer accessibility is preferentially lost during mitosis, raising the possibility that memory of enhancer regulation may be altered during mitosis. Since enhancers play crucial roles in specifying tissue-specific gene expression patterns, we propose that this phase of the cell cycle may be especially susceptible to resetting of transcriptional programs. This hypothesis is supported by our preliminary results that revealed aberrant RNA polymerase II re-engagement with the genome and transcript production in early G1. Thus, mitosis could be a source of gene expression heterogeneity, with potential implications for cell fate transitions in proliferative cells, such as during stem cell lineage commitment, experimental reprogramming, and tumorigenesis. Disclosures No relevant conflicts of interest to declare.

scholarly journals Local genetic effects on gene expression across 44 human tissues

2016 ◽  
Author(s):  
François Aguet ◽  
Andrew A. Brown ◽  
Stephane E. Castel ◽  
Joe R. Davis ◽  
Pejman Mohammadi ◽  
...  
Keyword(s):  
Gene Expression ◽  
Complex Traits ◽  
Large Scale ◽  
Genetic Diseases ◽  
Tissue Expression ◽  
Specific Expression ◽  
Tissue Specific ◽  
Regulatory Variation ◽  
Functional Variants ◽  
Trait Locus

AbstractExpression quantitative trait locus (eQTL) mapping provides a powerful means to identify functional variants influencing gene expression and disease pathogenesis. We report the identification of cis-eQTLs from 7,051 post-mortem samples representing 44 tissues and 449 individuals as part of the Genotype-Tissue Expression (GTEx) project. We find a cis-eQTL for 88% of all annotated protein-coding genes, with one-third having multiple independent effects. We identify numerous tissue-specific cis-eQTLs, highlighting the unique functional impact of regulatory variation in diverse tissues. By integrating large-scale functional genomics data and state-of-the-art fine-mapping algorithms, we identify multiple features predictive of tissue-specific and shared regulatory effects. We improve estimates of cis-eQTL sharing and effect sizes using allele specific expression across tissues. Finally, we demonstrate the utility of this large compendium of cis-eQTLs for understanding the tissue-specific etiology of complex traits, including coronary artery disease. The GTEx project provides an exceptional resource that has improved our understanding of gene regulation across tissues and the role of regulatory variation in human genetic diseases.

scholarly journals Tissue-specific 5-hydroxymethylcytosine landscape of the human genome

2020 ◽  
Author(s):  
Bo He ◽  
Chao Zhang ◽  
Xiaoxue Zhang ◽  
Yu Fan ◽  
Hu Zeng ◽  
...  
Keyword(s):  
Gene Expression ◽  
Human Genome ◽  
Genome Wide Association Study ◽  
Regulatory Element ◽  
Regulatory Elements ◽  
Specific Gene ◽  
Epigenetic Mark ◽  
Human Tissues ◽  
Tissue Specific ◽  
Regulatory Functions

Abstract 5-Hydroxymethylcytosine (5hmC) is an important epigenetic mark that regulates gene expression. Charting the landscape of 5hmC in human tissues is fundamental to understand its regulatory functions. Here, we systematically profiled the whole-genome 5hmC landscape at single-base resolution for 19 types of human tissues. We found that 5hmC preferentially decorates gene bodies and outperforms gene body 5mC in reflecting gene expression. Approximately one-third of 5hmC peaks are tissue-specific differentially hydroxymethylated regions (tsDhMRs), which are deposited in regulatory elements that regulate the expression of nearby tissue-specific functional genes. In addition, tsDhMRs are enriched with tissue-specific transcription-factor-binding sites and may rewire tissue-specific gene expression networks. Moreover, tsDhMRs are associated with SNPs identified by genome-wide association study (GWAS), linked to tissue-specific phenotypes and diseases. Collectively, our results show the tissue-specific 5hmC landscape of the human genome and demonstrate that 5hmC serves as a fundamental regulatory element affecting tissue-specific development and diseases.

scholarly journals A sequence-based global map of regulatory activity for deciphering human genetics

2021 ◽  
Author(s):  
Kathleen M Chen ◽  
Aaron K Wong ◽  
Olga G Troyanskaya ◽  
Jian Zhou
Keyword(s):  
Gene Expression ◽  
Large Scale ◽  
Human Genetics ◽  
Regulatory Elements ◽  
Specific Gene ◽  
Sequence Information ◽  
Regulatory Activity ◽  
Tissue Specific ◽  
Regulatory Architecture ◽  
Sequence Class

Sequence is at the basis of how the genome shapes chromatin organization, regulates gene expression, and impacts traits and diseases. Epigenomic profiling efforts have enabled large-scale identification of regulatory elements, yet we still lack a sequence-based map to systematically identify regulatory activities from any sequence, which is necessary for predicting the effects of any variant on these activities. We address this challenge with Sei, a new framework for integrating human genetics data with sequence information to discover the regulatory basis of traits and diseases. Our framework systematically learns a vocabulary for the regulatory activities of sequences, which we call sequence classes, using a new deep learning model that predicts a compendium of 21,907 chromatin profiles across >1,300 cell lines and tissues, the most comprehensive to-date. Sequence classes allow for a global view of sequence and variant effects by quantifying diverse regulatory activities, such as loss or gain of cell-type-specific enhancer function. We show that sequence class predictions are supported by experimental data, including tissue-specific gene expression, expression QTLs, and evolutionary constraints based on population allele frequencies. Finally, we applied our framework to human genetics data. Sequence classes uniquely provide a non-overlapping partitioning of GWAS heritability by tissue-specific regulatory activity categories, which we use to characterize the regulatory architecture of 47 traits and diseases from UK Biobank. Furthermore, the predicted loss or gain of sequence class activities suggest specific mechanistic hypotheses for individual regulatory pathogenic mutations. We provide this framework as a resource to further elucidate the sequence basis of human health and disease.

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