scholarly journals Evolution of cis-regulatory elements and regulatory networks in duplicated genes of Arabidopsis thaliana

2015 ◽  
pp. pp.00717.2015 ◽  
Author(s):  
Andrej A Arsovski ◽  
Julian Pradinuk ◽  
Xu Qiu Guo ◽  
Sishuo Wang ◽  
Keith L Adams
Keyword(s):  
Arabidopsis Thaliana ◽  
Regulatory Networks ◽  
Regulatory Elements ◽  
Duplicated Genes

scholarly journals Investigation of Drought and Salinity Tolerance Related Genes and their Regulatory Mechanisms in Arabidopsis (Arabidopsis thaliana)

2018 ◽  
Vol 11 (1) ◽  
pp. 12-28 ◽  
Author(s):  
Nikwan Shariatipour ◽  
Bahram Heidari
Keyword(s):  
Arabidopsis Thaliana ◽  
Data Analysis ◽  
Differentially Expressed Genes ◽  
High Throughput ◽  
Regulatory Networks ◽  
Regulatory Elements ◽  
Differentially Expressed ◽  
Plant Responses ◽  
Systemic Analysis ◽  
Time Courses

Background:The development of genome microarrays of the model plant;Arabidopsis thaliana, with increasing repositories of publicly available data and high-throughput data analysis tools, has opened new avenues to genome-wide systemic analysis of plant responses to environmental stresses.Objective:To identify differentially expressed genes and their regulatory networks inArabidopsis thalianaunder harsh environmental condition.Methods:Two replications of eight microarray data sets were derived from two different tissues (root and shoot) and two different time courses (control and 24 hours after the beginning of stress occurrence) for comparative data analysis through various bioinformatics tools.Results:Under drought stress, 2558 gene accessions in root and 3691 in shoot tissues had significantly differential expression with respect to control condition. Likewise, under salinity stress 9078 gene accessions in root and 5785 in shoot tissues were discriminated between stressed and non-stressed conditions. Furthermore, the transcription regulatory activity of differentially expressed genes was mainly due to hormone, light, circadian and stress responsivecis-acting regulatory elements among which ABRE, ERE, P-box, TATC-box, CGTCA-motif, GARE-motif, TGACG-motif, GAG-motif, GA-motif, GATA- motif, TCT-motif, GT1-motif, Box 4, G-Box, I-box, LAMP-element, Sp1, MBS, TC-rich repeats, TCA-element and HSE were the most important elements in the identified up-regulated genes.Conclusion:The results of the high-throughput comparative analyses in this study provide more options for plant breeders and give an insight into genes andcis-acting regulatory elements involved in plant response to drought and salinity stresses in strategic crops such as cereals.

scholarly journals Glucocorticoid receptor wields chromatin interactions to tune transcription for cytoskeleton stabilization in podocytes

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Hong Wang ◽  
Aiping Duan ◽  
Jing Zhang ◽  
Qi Wang ◽  
Yuexian Xing ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Glucocorticoid Receptor ◽  
Protective Effect ◽  
Histone Modification ◽  
Regulatory Networks ◽  
Target Gene ◽  
Regulatory Elements ◽  
Chromatin Interactions ◽  
Super Enhancer

AbstractElucidating transcription mediated by the glucocorticoid receptor (GR) is crucial for understanding the role of glucocorticoids (GCs) in the treatment of diseases. Podocyte is a useful model for studying GR regulation because GCs are the primary medication for podocytopathy. In this study, we integrated data from transcriptome, transcription factor binding, histone modification, and genome topology. Our data reveals that the GR binds and activates selective regulatory elements in podocyte. The 3D interactome captured by HiChIP facilitates the identification of remote targets of GR. We found that GR in podocyte is enriched at transcriptional interaction hubs and super-enhancers. We further demonstrate that the target gene of the top GR-associated super-enhancer is indispensable to the effective functioning of GC in podocyte. Our findings provided insights into the mechanisms underlying the protective effect of GCs on podocyte, and demonstrate the importance of considering transcriptional interactions in order to fine-map regulatory networks of GR.

scholarly journals Exploring functionally annotated transcriptional consensus regulatory elements with CONREL

Database ◽  
2020 ◽  
Vol 2020 ◽  
Author(s):  
Davide Dalfovo ◽  
Samuel Valentini ◽  
Alessandro Romanel
Keyword(s):  
Cell Lines ◽  
Web Application ◽  
Regulatory Networks ◽  
Regulatory Elements ◽  
Levels Of Abstraction ◽  
Binding Motifs ◽  
Extensive Collection ◽  
Transcription Factor Binding Motifs ◽  
Gene Regulatory ◽  
Genomic Regions

Abstract Understanding the interaction between human genome regulatory elements and transcription factors is fundamental to elucidate the structure of gene regulatory networks. Here we present CONREL, a web application that allows for the exploration of functionally annotated transcriptional ‘consensus’ regulatory elements at different levels of abstraction. CONREL provides an extensive collection of consensus promoters, enhancers and active enhancers for 198 cell-lines across 38 tissue types, which are also combined to provide global consensuses. In addition, 1000 Genomes Project genotype data and the ‘total binding affinity’ of thousands of transcription factor binding motifs at genomic regulatory elements is fully combined and exploited to characterize and annotate functional properties of our collection. Comparison with other available resources highlights the strengths and advantages of CONREL. CONREL can be used to explore genomic loci, specific genes or genomic regions of interest across different cell lines and tissue types. The resource is freely available at https://bcglab.cibio.unitn.it/conrel.

scholarly journals High-resolution analysis of cis -acting regulatory networks at the α-globin locus

2013 ◽  
Vol 368 (1620) ◽  
pp. 20120361 ◽  
Author(s):  
Jim R. Hughes ◽  
Karen M. Lower ◽  
Ian Dunham ◽  
Stephen Taylor ◽  
Marco De Gobbi ◽  
...  
Keyword(s):  
High Resolution ◽  
Gene Cluster ◽  
Regulatory Networks ◽  
Single Gene ◽  
Regulatory Elements ◽  
Circular Chromosome ◽  
Chromosome Conformation ◽  
Cis Acting ◽  
High Resolution Analysis ◽  
Resolution Analysis

We have combined the circular chromosome conformation capture protocol with high-throughput, genome-wide sequence analysis to characterize the cis -acting regulatory network at a single locus. In contrast to methods which identify large interacting regions (10–1000 kb), the 4C approach provides a comprehensive, high-resolution analysis of a specific locus with the aim of defining, in detail, the cis -regulatory elements controlling a single gene or gene cluster. Using the human α-globin locus as a model, we detected all known local and long-range interactions with this gene cluster. In addition, we identified two interactions with genes located 300 kb (NME4) and 625 kb (FAM173a) from the α-globin cluster.

scholarly journals Integrative multi-omics analyses identify cell-type disease genes and regulatory networks across schizophrenia and Alzheimer’s disease

2020 ◽  
Author(s):  
Mufang Ying ◽  
Peter Rehani ◽  
Panagiotis Roussos ◽  
Daifeng Wang
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Gene Regulatory Networks ◽  
Regulatory Networks ◽  
Regulatory Elements ◽  
Disease Genes ◽  
Omics Data ◽  
Cell Type ◽  
Cellular Resolution ◽  
Gene Regulatory

AbstractStrong phenotype-genotype associations have been reported across brain diseases. However, understanding underlying gene regulatory mechanisms remains challenging, especially at the cellular level. To address this, we integrated the multi-omics data at the cellular resolution of the human brain: cell-type chromatin interactions, epigenomics and single cell transcriptomics, and predicted cell-type gene regulatory networks linking transcription factors, distal regulatory elements and target genes (e.g., excitatory and inhibitory neurons, microglia, oligodendrocyte). Using these cell-type networks and disease risk variants, we further identified the cell-type disease genes and regulatory networks for schizophrenia and Alzheimer’s disease. The celltype regulatory elements (e.g., enhancers) in the networks were also found to be potential pleiotropic regulatory loci for a variety of diseases. Further enrichment analyses including gene ontology and KEGG pathways revealed potential novel cross-disease and disease-specific molecular functions, advancing knowledge on the interplays among genetic, transcriptional and epigenetic risks at the cellular resolution between neurodegenerative and neuropsychiatric diseases. Finally, we summarized our computational analyses as a general-purpose pipeline for predicting gene regulatory networks via multi-omics data.

scholarly journals Tailoring Cardiac Synthetic Transcriptional Modulation Towards Precision Medicine

2022 ◽  
Vol 8 ◽  
Author(s):  
Eric Schoger ◽  
Sara Lelek ◽  
Daniela Panáková ◽  
Laura Cecilia Zelarayán
Keyword(s):  
Gene Expression ◽  
Precision Medicine ◽  
Single Cell ◽  
Regulatory Networks ◽  
Transcriptional Control ◽  
Regulatory Elements ◽  
Comprehensive Overview ◽  
Endogenous Gene ◽  
Cell Technologies ◽  
Organ Systems

Molecular and genetic differences between individual cells within tissues underlie cellular heterogeneities defining organ physiology and function in homeostasis as well as in disease states. Transcriptional control of endogenous gene expression has been intensively studied for decades. Thanks to a fast-developing field of single cell genomics, we are facing an unprecedented leap in information available pertaining organ biology offering a comprehensive overview. The single-cell technologies that arose aided in resolving the precise cellular composition of many organ systems in the past years. Importantly, when applied to diseased tissues, the novel approaches have been immensely improving our understanding of the underlying pathophysiology of common human diseases. With this information, precise prediction of regulatory elements controlling gene expression upon perturbations in a given cell type or a specific context will be realistic. Simultaneously, the technological advances in CRISPR-mediated regulation of gene transcription as well as their application in the context of epigenome modulation, have opened up novel avenues for targeted therapy and personalized medicine. Here, we discuss the fast-paced advancements during the recent years and the applications thereof in the context of cardiac biology and common cardiac disease. The combination of single cell technologies and the deep knowledge of fundamental biology of the diseased heart together with the CRISPR-mediated modulation of gene regulatory networks will be instrumental in tailoring the right strategies for personalized and precision medicine in the near future. In this review, we provide a brief overview of how single cell transcriptomics has advanced our knowledge and paved the way for emerging CRISPR/Cas9-technologies in clinical applications in cardiac biomedicine.

scholarly journals Systematic dissection of transcriptional regulatory networks by genome-scale and single-cell CRISPR screens

2021 ◽  
Vol 7 (27) ◽  
pp. eabf5733
Author(s):  
Rui Lopes ◽  
Kathleen Sprouffske ◽  
Caibin Sheng ◽  
Esther C. H. Uijttewaal ◽  
Adriana Emma Wesdorp ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Regulatory Networks ◽  
Essential Role ◽  
Regulatory Elements ◽  
Transcriptional Regulatory Networks ◽  
Transcriptional Regulatory Elements ◽  
Transcriptional Regulatory ◽  
Functional Relevance ◽  
Genome Scale ◽  
Transcription Program

Millions of putative transcriptional regulatory elements (TREs) have been cataloged in the human genome, yet their functional relevance in specific pathophysiological settings remains to be determined. This is critical to understand how oncogenic transcription factors (TFs) engage specific TREs to impose transcriptional programs underlying malignant phenotypes. Here, we combine cutting edge CRISPR screens and epigenomic profiling to functionally survey ≈15,000 TREs engaged by estrogen receptor (ER). We show that ER exerts its oncogenic role in breast cancer by engaging TREs enriched in GATA3, TFAP2C, and H3K27Ac signal. These TREs control critical downstream TFs, among which TFAP2C plays an essential role in ER-driven cell proliferation. Together, our work reveals novel insights into a critical oncogenic transcription program and provides a framework to map regulatory networks, enabling to dissect the function of the noncoding genome of cancer cells.

scholarly journals Synthetic gene regulatory networks in the opportunistic human pathogen Streptococcus pneumoniae

2019 ◽  
Author(s):  
Robin A. Sorg ◽  
Clement Gallay ◽  
Jan-Willem Veening
Keyword(s):  
Gene Expression ◽  
Streptococcus Pneumoniae ◽  
Regulatory Networks ◽  
Expression Patterns ◽  
Combinatorial Libraries ◽  
Regulatory Elements ◽  
Expression Control ◽  
Gene Expression Control

AbstractStreptococcus pneumoniae can cause disease in various human tissues and organs, including the ear, the brain, the blood and the lung, and thus in highly diverse and dynamic environments. It is challenging to study how pneumococci control virulence factor expression, because cues of natural environments and the presence of an immune system are difficult to simulate in vitro. Here, we apply synthetic biology methods to reverse-engineer gene expression control in S. pneumoniae. A selection platform is described that allows for straightforward identification of transcriptional regulatory elements out of combinatorial libraries. We present TetR- and LacI-regulated promoters that show expression ranges of four orders of magnitude. Based on these promoters, regulatory networks of higher complexity are assembled, such as logic AND and IMPLY gates. Finally, we demonstrate single-copy genome-integrated toggle switches that give rise to bimodal population distributions. The tools described here can be used to mimic complex expression patterns, such as the ones found for pneumococcal virulence factors, paving the way for in vivo investigations of the importance of gene expression control on the pathogenicity of S. pneumoniae.

Knockdown of duplicated zebrafishhoxb1genes reveals distinct roles in hindbrain patterning and a novel mechanism of duplicate gene retention

Development ◽  
2002 ◽  
Vol 129 (10) ◽  
pp. 2339-2354 ◽  
Author(s):  
James M. McClintock ◽  
Mazen A. Kheirbek ◽  
Victoria E. Prince
Keyword(s):  
Protein Function ◽  
Cranial Nerve ◽  
Duplicate Gene ◽  
Regulatory Elements ◽  
Duplicate Genes ◽  
Duplicated Genes ◽  
Gene Retention ◽  
Redundant Functions ◽  
Group 1 ◽  
Rhombomere 4

We have used a morpholino-based knockdown approach to investigate the functions of a pair of zebrafish Hox gene duplicates, hoxb1a and hoxb1b, which are expressed during development of the hindbrain. We find that the zebrafish hoxb1 duplicates have equivalent functions to mouse Hoxb1 and its paralogue Hoxa1. Thus, we have revealed a ‘function shuffling’ among genes of paralogue group 1 during the evolution of vertebrates. Like mouse Hoxb1, zebrafish hoxb1a is required for migration of the VIIth cranial nerve branchiomotor neurons from their point of origin in hindbrain rhombomere 4 towards the posterior. By contrast, zebrafish hoxb1b, like mouse Hoxa1, is required for proper segmental organization of rhombomere 4 and the posterior hindbrain. Double knockdown experiments demonstrate that the zebrafish hoxb1 duplicates have partially redundant functions. However, using an RNA rescue approach, we reveal that these duplicated genes do not have interchangeable biochemical functions: only hoxb1a can properly pattern the VIIth cranial nerve. Despite this difference in protein function, we provide evidence that the hoxb1 duplicate genes were initially maintained in the genome because of complementary degenerative mutations in defined cis-regulatory elements.

scholarly journals FRUITFULL Is a Repressor of Apical Hook Opening in Arabidopsis thaliana

2020 ◽  
Vol 21 (17) ◽  
pp. 6438
Author(s):  
Miriam Führer ◽  
Angelika Gaidora ◽  
Peter Venhuizen ◽  
Jedrzej Dobrogojski ◽  
Chloé Béziat ◽  
...  
Keyword(s):  
Arabidopsis Thaliana ◽  
In Silico ◽  
Target Genes ◽  
Growth Promotion ◽  
In Silico Analysis ◽  
Regulatory Elements ◽  
Suitable Model ◽  
Differential Growth ◽  
Apical Hook ◽  
Growth Transitions

Plants adjust their architecture to a constantly changing environment, requiring adaptation of differential growth. Despite their importance, molecular switches, which define growth transitions, are largely unknown. Apical hook development in dark grown Arabidopsis thaliana (A. thaliana) seedlings serves as a suitable model for differential growth transition in plants. Here, we show that the phytohormone auxin counteracts the light-induced growth transition during apical hook opening. We, subsequently, identified genes which are inversely regulated by light and auxin. We used in silico analysis of the regulatory elements in this set of genes and subsequently used natural variation in gene expression to uncover correlations between underlying transcription factors and the in silico predicted target genes. This approach uncovered that MADS box transcription factor AGAMOUS-LIKE 8 (AGL8)/FRUITFULL (FUL) modulates apical hook opening. Our data shows that transient FUL expression represses the expression of growth stimulating genes during early phases of apical hook development and therewith guards the transition to growth promotion for apical hook opening. Here, we propose a role for FUL in setting tissue identity, thereby regulating differential growth during apical hook development.

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