scholarly journals RegVar: Tissue-specific Prioritization of Noncoding Regulatory Variants

2021 ◽  
Author(s):  
Hao Lu ◽  
Luyu Ma ◽  
Lei Li ◽  
Cheng Quan ◽  
Yiming Lu ◽  
...  

Noncoding genomic variants constitute the majority of trait-associated genome variations; however, identification of functional noncoding variants is still a challenge in human genetics, and a method systematically assessing the impact of regulatory variants on gene expression and linking them to potential target genes is still lacking. Here we introduce a deep neural network (DNN)-based computational framework, RegVar, that can accurately predict the tissue-specific impact of noncoding regulatory variants on target genes. We show that, by robustly learning the genomic characteristics of massive variant-gene expression associations in a variety of human tissues, RegVar vastly surpasses all current noncoding variants prioritization methods in predicting regulatory variants under different circumstances. The unique features of RegVar make it an excellent framework for assessing the regulatory impact of any variant on its putative target genes in a variety of tissues. RegVar is available as a webserver at http://regvar.cbportal.org/.

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Zhi Chai ◽  
Yafei Lyu ◽  
Qiuyan Chen ◽  
Cheng-Hsin Wei ◽  
Lindsay Snyder ◽  
...  

Abstract Objectives To characterize and compare the impact of vitamin A (VA) deficiency on gene expression patterns in the small intestine (SI) and the colon, and to discover novel target genes in VA-related biological pathways. Methods vitamin A deficient (VAD) mice were generated by feeding VAD diet to pregnant C57/BL6 dams and their post-weaning offspring. Total mRNA extracted from SI and colon were sequenced using Illumina HiSeq 2500 platform. Differentially Expressed Gene (DEG), Gene Ontology (GO) enrichment, and Weighted Gene Co-expression Network Analysis (WGCNA) were performed to characterize expression patterns and co-expression patterns. Results The comparison between vitamin A sufficient (VAS) and VAD groups detected 49 and 94 DEGs in SI and colon, respectively. According to GO information, DEGs in the SI demonstrated significant enrichment in categories relevant to retinoid metabolic process, molecule binding, and immune function. Immunity related pathways, such as “humoral immune response” and “complement activation,” were positively associated with VA in SI. On the contrary, in colon, “cell division” was the only enriched category and was negatively associated with VA. WGCNA identified modules significantly correlated with VA status in SI and in colon. One of those modules contained five known retinoic acid targets. Therefore we have prioritized the other module members (e.g., Mbl2, Mmp9, Mmp13, Cxcl14 and Pkd1l2) to be investigated as candidate genes regulated by VA. Comparison of co-expression modules between SI and colon indicated distinct VA effects on these two organs. Conclusions The results show that VA deficiency alters the gene expression profiles in SI and colon quite differently. Some immune-related genes (Mbl2, Mmp9, Mmp13, Cxcl14 and Pkd1l2) may be novel targets under the control of VA in SI. Funding Sources NIH training grant and NIH research grant. Supporting Tables, Images and/or Graphs


2020 ◽  
Author(s):  
Maud Fagny ◽  
Marieke Lydia Kuijjer ◽  
Maike Stam ◽  
Johann Joets ◽  
Olivier Turc ◽  
...  

AbstractEnhancers are important regulators of gene expression during numerous crucial processes including tissue differentiation across development. In plants, their recent molecular characterization revealed their capacity to activate the expression of several target genes through the binding of transcription factors. Nevertheless, identifying these target genes at a genome-wide level remains a challenge, in particular in species with large genomes, where enhancers and target genes can be hundreds of kilobases away. Therefore, the contribution of enhancers to regulatory network is still poorly understood in plants. In this study, we investigate the enhancer-driven regulatory network of two maize tissues at different stages: leaves at seedling stage and husks (bracts) at flowering. Using a systems biology approach, we integrate genomic, epigenomic and transcriptomic data to model the regulatory relationship between transcription factors and their potential target genes. We identify regulatory modules specific to husk and V2-IST, and show that they are involved in distinct functions related to the biology of each tissue. We evidence enhancers exhibiting binding sites for two distinct transcription factor families (DOF and AP2/ERF) that drive the tissue-specificity of gene expression in seedling immature leaf and husk. Analysis of the corresponding enhancer sequences reveals that two different transposable element families (TIR transposon Mutator and MITE Pif/Harbinger) have shaped the regulatory network in each tissue, and that MITEs have provided new transcription factor binding sites that are involved in husk tissue-specificity.SignificanceEnhancers play a major role in regulating tissue-specific gene expression in higher eukaryotes, including angiosperms. While molecular characterization of enhancers has improved over the past years, identifying their target genes at the genome-wide scale remains challenging. Here, we integrate genomic, epigenomic and transcriptomic data to decipher the tissue-specific gene regulatory network controlled by enhancers at two different stages of maize leaf development. Using a systems biology approach, we identify transcription factor families regulating gene tissue-specific expression in husk and seedling leaves, and characterize the enhancers likely to be involved. We show that a large part of maize enhancers is derived from transposable elements, which can provide novel transcription factor binding sites crucial to the regulation of tissue-specific biological functions.


2021 ◽  
Author(s):  
Yifeng Tao ◽  
Xiaojun Ma ◽  
Georgios I. Laliotis ◽  
Adler Guerrero Zuniga ◽  
Drake Palmer ◽  
...  

AbstractCancer is a disease of gene dysregulation, where cells acquire somatic and epigenetic alterations that drive aberrant cellular signaling. These alterations adversely impact transcriptional programs and cause profound changes in gene expression. Ultimately, interpreting patient somatic alterations within context-specific regulatory programs will facilitate personalized therapeutic decisions for each individual. Towards this goal, we develop a partially interpretable neural network model with encoder-decoder architecture, called Chromatin-informed Inference of Transcriptional Regulators Using Self-attention mechanism (CITRUS), to model the impact of somatic alterations on cellular states and further onto downstream gene expression programs. The encoder module employs a self-attention mechanism to model the contextual impact of somatic alterations in a tumor-specific manner. Furthermore, the model uses a layer of hidden nodes to explicitly represent the state of transcription factors (TFs), and the decoder learns the relationships between TFs and their target genes guided by the sparse prior based on TF binding motifs in the open chromatin regions of tumor samples. We apply CITRUS to genomic, mRNA sequencing and ATAC-seq data from tumors of 17 cancer types profiled by The Cancer Genome Atlas. Our computational framework enables us to share information across tumors to learn patient-specific TF activities, revealing regulatory program similarities and differences between and within tumor types. We show that CITRUS not only outperforms the competing models in predicting RNA expression, but also yields biological insights in delineating TFs associated with somatic alterations in individual tumors. We also validate the differential activity of TFs associated with mutant PIK3CA in breast cancer cell line and xenograft models using a panel of PI3K pathway inhibitors.


2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Stephan P. Persengiev ◽  
Ivanela I. Kondova ◽  
Ronald E. Bontrop

The molecular instructions that govern gene expression regulation are encoded in the genome and ultimately determine the morphology and functional specifications of the human brain. As a consequence, changes in gene expression levels might be directly related to the functional decline associated with brain aging. Small noncoding RNAs, including miRNAs, comprise a group of regulatory molecules that modulate the expression of hundred of genes which play important roles in brain metabolism. Recent comparative studies in humans and nonhuman primates revealed that miRNAs regulate multiple pathways and interconnected signaling cascades that are the basis for the cognitive decline and neurodegenerative disorders during aging. Identifying the roles of miRNAs and their target genes in model organisms combined with system-level studies of the brain would provide more comprehensive understanding of the molecular basis of brain deterioration during the aging process.


2019 ◽  
Author(s):  
Christopher M. Uyehara ◽  
Daniel J. McKay

ABSTRACTThe ecdysone pathway was amongst the first experimental systems employed to study the impact of steroid hormones on the genome. In Drosophila and other insects, ecdysone coordinates developmental transitions, including wholesale transformation of the larva into the adult during metamorphosis. Like other hormones, ecdysone controls gene expression through a nuclear receptor, which functions as a ligand-dependent transcription factor. Although it is clear that ecdysone elicits distinct transcriptional responses within its different target tissues, the role of its receptor, EcR, in regulating target gene expression is incompletely understood. In particular, EcR initiates a cascade of transcription factor expression in response to ecdysone, making it unclear which ecdysone-responsive genes are direct EcR targets. Here, we use the larval-to-prepupal transition of developing wings to examine the role of EcR in gene regulation. Genome-wide DNA binding profiles reveal that EcR exhibits widespread binding across the genome, including at many canonical ecdysone-response genes. However, the majority of its binding sites reside at genes with wing-specific functions. We also find that EcR binding is temporally dynamic, with thousands of binding sites changing over time. RNA-seq reveals that EcR acts as both a temporal gate to block precocious entry to the next developmental stage as well as a temporal trigger to promote the subsequent program. Finally, transgenic reporter analysis indicates that EcR regulates not only temporal changes in target enhancer activity but also spatial patterns. Together, these studies define EcR as a multipurpose, direct regulator of gene expression, greatly expanding its role in coordinating developmental transitions.SIGNIFICANCENuclear receptors (NRs) are sequence-specific DNA binding proteins that act as intracellular receptors for small molecules such as hormones. Prior work has shown that NRs function as ligand-dependent switches that initiate a cascade of gene expression changes. The extent to which NRs function as direct regulators of downstream genes in these hierarchies remains incompletely understood. Here, we study the role of the NR EcR in metamorphosis of the Drosophila wing. We find that EcR directly regulates many genes at the top of the hierarchy as well as at downstream genes. Further, we find that EcR binds distinct sets of target genes at different developmental times. This work helps inform how hormones elicit tissue- and temporal-specific responses in target tissues.


2017 ◽  
Author(s):  
Antoine Vigouroux ◽  
Enno Oldewurtel ◽  
Lun Cui ◽  
Sven van Teeffelen ◽  
David Bikard

AbstractOver the past few years, tools that make use of the Cas9 nuclease have led to many breakthroughs, including in the control of gene expression. The catalytically dead variant of Cas9 known as dCas9 can be guided by small RNAs to block transcription of target genes, in a strategy also known as CRISPRi. Here, we reveal that the level of complementarity between the guide RNA and the target controls the rate at which dCas9 successfully blocks the RNA polymerase. We use this mechanism to precisely and robustly reduce gene expression by defined relative amounts. We demonstrate broad applicability of this method to the study of genetic regulation and cellular physiology. First, we characterize feedback strength of a model auto-repressor. Second, we study the impact of copy-number variations of cell-wall synthesizing enzymes on cell morphology. Finally, we demonstrate that this system can be multiplexed to obtain any combination of fractional repression of two genes.


Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 3381-3381
Author(s):  
Marco De Gobbi ◽  
Jim R. Hughes ◽  
Karen M. Lower ◽  
Chris J. Derry ◽  
Emanuele Marchi ◽  
...  

Abstract Abstract 3381 It is well established that the level of gene expression can vary significantly between normal individuals, and that the majority of this variation is due to naturally occurring genomic variability caused by single nucleotide polymorphisms (SNPs). Therefore, identifying functional cis-regulatory polymorphisms and understanding how they influence gene expression is an important new task in many areas of medical research, including molecular hematology. We have previously shown that an entirely new form of alpha-thalassemia is caused by a gain of function regulatory SNP in an unremarkable non-coding region in the alpha-globin cluster. This SNP creates a novel, functional GATA site, which recruits a tissue-specific transcription factor (TF) complex. This creates a new promoter-like element, which interferes with activation of the globin genes (De Gobbi et al. Science 2006,312:1215–1257). Here, to investigate the extent and the impact of this class of regulatory SNP, using ChIP-Seq we characterized differences in the occupancy of Scl/TAL-1 (a tissue-specific TF critical for erythroid maturation) in the erythroblasts of two individuals from the same ethnic background (Caucasian 1, C1, and Caucasian 2, C2). Sequence reads from two biological replicates of each individual were merged and aligned to the human reference genome (NCBI36/hg18) and a total of 2936 Scl/TAL-1 bound regions were identified. Using two de novo motif finding algorithms (MEME and DREME), we identified GATA (WGATAR) and E-box (CAGMTG) sites as the preferred sequences associated with in vivo binding of Scl/TAL-1. In addition, other motifs were enriched at the Scl/TAL-1 targets; among these were binding sites for known TFs (Sp1/Klf, RUNX1 and NFE2). To identify differentially bound regions between C1 and C2, a two-class paired-test, Rank Product analysis (500 permutations, FDR<0.2) was performed with MeV4.6 TM4 Software. About 1% (25/2936) of these sites showed differential binding. Differences were mostly associated with SNPs directly affecting or lying adjacent to known TF consensus binding sites and deviations from the GATA or E-box consensus motifs corresponded to the inability of the sequence to bind Scl/TAL-1. Since it has been previously shown that the function of active transcriptional elements can be predicted on the basis of chromatin signatures (e.g. enhancers marked by H3K4me1 and promoters marked by H3K4me3), to further characterize the Scl/TAL-1 differentially occupied sites, we asked which chromatin signatures are associated with these regions. H3K4me1 and H3K4me3 ChIP-Seq experiments, together with analyses of publicly available data sets, showed that the most of the SNPs responsible for variation in the recruitment of Scl/TAL-1 (23/25) lie in DNA sequences that have chromatin signatures predictive of enhancer elements, suggesting a potential long-range function in modulating gene expression. Finally, Scl/TAL-1 ChIP-Seq analysis of erythroblasts of a third individual from a different ethnic background (African-Caribbean, A3) revealed more distinctive targets including a well known regulatory SNP at the promoter of the DARC gene (encoding the Duffy blood group), which alters a GATA binding motif in A3, conferring the malaria-resistant Duffy-null phenotype. Given the exponential growth in genome-wide association studies by which numerous SNPs are being either associated with hematological parameters, or implicated in the etiology of hematologic disorders, this study elucidates molecular mechanisms which might account for phenotypic diversity and highlights the importance of carrying out functional characterization of non-coding polymorphisms found to be associated with disease risk. Disclosures: No relevant conflicts of interest to declare.


Biomolecules ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 26
Author(s):  
Nadia Trivieri ◽  
Concetta Panebianco ◽  
Annacandida Villani ◽  
Riccardo Pracella ◽  
Tiziana Pia Latiano ◽  
...  

Dietary patterns are well known risk factors involved in cancer initiation, progression, and in cancer protection. Previous in vitro and in vivo studies underline the link between a diet rich in resistant starch (RS) and slowing of tumor growth and gene expression in pancreatic cancer xenograft mice. The aim of this study was to investigate the impact of a diet rich in resistant starch on miRNAs and miRNAs-target genes expression profile and on biological processes and pathways, that play a critical role in pancreatic tumors of xenografted mice. miRNA expression profiles on tumor tissues displayed 19 miRNAs as dysregulated in mice fed with RS diet as compared to those fed with control diet and differentially expressed miRNA-target genes were predicted by integrating (our data) with a public human pancreatic cancer gene expression dataset (GSE16515). Functional and pathway enrichment analyses unveiled that miRNAs involved in RS diet are critical regulators of genes that control tumor growth and cell migration and metastasis, inflammatory response, and, as expected, synthesis of carbohydrate and glucose metabolism disorder. Mostly, overall survival analysis with clinical data from TCGA (n = 175) displayed that almost four miRNAs (miRNA-375, miRNA-148a-3p, miRNA-125a-5p, and miRNA-200a-3p) upregulated in tumors from mice fed with RS were a predictor of good prognosis for pancreatic cancer patients. These findings contribute to the understanding of the potential mechanisms through which resistant starch may affect cancer progression, suggesting also a possible integrative approach for enhancing the efficacy of existing cancer treatments.


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