scholarly journals Transcriptome alterations in myotonic dystrophy skeletal muscle and heart

2018 ◽  
Vol 28 (8) ◽  
pp. 1312-1321 ◽  
Author(s):  
Eric T Wang ◽  
Daniel Treacy ◽  
Katy Eichinger ◽  
Adam Struck ◽  
Joseph Estabrook ◽  
...  
Keyword(s):  
Gene Expression ◽  
Myotonic Dystrophy ◽  
Rna Processing ◽  
Systemic Disease ◽  
Transcriptome Data ◽  
Dystrophia Myotonica ◽  
Disease Symptoms ◽  
Web Resource ◽  
Microsatellite Repeats ◽  
Cellular Pathways

Abstract Myotonic dystrophy (dystrophia myotonica, DM) is a multi-systemic disease caused by expanded CTG or CCTG microsatellite repeats. Characterized by symptoms in muscle, heart and central nervous system, among others, it is one of the most variable diseases known. A major pathogenic event in DM is the sequestration of muscleblind-like proteins by CUG or CCUG repeat-containing RNAs transcribed from expanded repeats, and differences in the extent of MBNL sequestration dependent on repeat length and expression level may account for some portion of the variability. However, many other cellular pathways are reported to be perturbed in DM, and the severity of specific disease symptoms varies among individuals. To help understand this variability and facilitate research into DM, we generated 120 RNASeq transcriptomes from skeletal and heart muscle derived from healthy and DM1 biopsies and autopsies. A limited number of DM2 and Duchenne muscular dystrophy samples were also sequenced. We analyzed splicing and gene expression, identified tissue-specific changes in RNA processing and uncovered transcriptome changes strongly correlating with muscle strength. We created a web resource at http://DMseq.org that hosts raw and processed transcriptome data and provides a lightweight, responsive interface that enables browsing of processed data across the genome.

scholarly journals BART Cancer: a web resource for transcriptional regulators in cancer genomes

NAR Cancer ◽  
2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Zachary V Thomas ◽  
Zhenjia Wang ◽  
Chongzhi Zang
Keyword(s):  
Gene Expression ◽  
Cancer Research ◽  
Computational Prediction ◽  
Transcriptional Regulators ◽  
Gene Expression Omnibus ◽  
The Cancer Genome Atlas ◽  
Regulation Of Transcription ◽  
Data Resource ◽  
Web Resource ◽  
Cancer Types

Abstract Dysregulation of gene expression plays an important role in cancer development. Identifying transcriptional regulators, including transcription factors and chromatin regulators, that drive the oncogenic gene expression program is a critical task in cancer research. Genomic profiles of active transcriptional regulators from primary cancer samples are limited in the public domain. Here we present BART Cancer (bartcancer.org), an interactive web resource database to display the putative transcriptional regulators that are responsible for differentially regulated genes in 15 different cancer types in The Cancer Genome Atlas (TCGA). BART Cancer integrates over 10000 gene expression profiling RNA-seq datasets from TCGA with over 7000 ChIP-seq datasets from the Cistrome Data Browser database and the Gene Expression Omnibus (GEO). BART Cancer uses Binding Analysis for Regulation of Transcription (BART) for predicting the transcriptional regulators from the differentially expressed genes in cancer samples compared to normal samples. BART Cancer also displays the activities of over 900 transcriptional regulators across cancer types, by integrating computational prediction results from BART and the Cistrome Cancer database. Focusing on transcriptional regulator activities in human cancers, BART Cancer can provide unique insights into epigenetics and transcriptional regulation in cancer, and is a useful data resource for genomics and cancer research communities.

Alternative translation and alternative RNA processing mechanism in parvovirus RNA processing

2014 ◽  
Author(s):  
◽  
Olufemi Fasina
Keyword(s):  
Gene Expression ◽  
Rna Processing ◽  
Viral Genome ◽  
Transcription Initiation ◽  
Alternative Polyadenylation ◽  
Open Reading Frames ◽  
Genome Replication ◽  
University Of Missouri ◽  
Diverse Range ◽  
Viral Genome Replication

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Viruses as obligate intracellular metabolic parasite require the capacity to orchestrate and modulate the host environment either in the nucleus or cytoplasm for their efficient reproductive life cycle. This warrants the use of diverse range of proteins expressed from the viral genome with the ability of regulating viral genome replication, transcription and translation, in addition antagonizing host factors inhibitory to the virus. Therefore, in order to achieve these goals, viruses utilizes gene expression strategies to expand their coding capacity. Gene expression mechanism such as transcription initiation, capping, splicing and 3�-end processing afford viruses the opportunities to utilize the eukaryotic metabolic machineries for generating proteome diversity. Parvoviruses and other DNA viruses effectively capitalize on their use of nuclear eukaryotic metabolic machineries to co-opt host cell factors for optimal replication and gene expression. Parvoviruses with small genome size and overlapping open reading frames utilize alternative transcription initiation, alternative splicing and alternative polyadenylation to co-ordinate the expression of its non-structural and structural proteins. In this work, we have characterized how two parvoviruses; Dependovirus AAV5 and Bocavirus Minute virus of canine (MVC) utilize alternative gene expression mechanisms and strategies to optimize expression of viral proteins from their genome.

scholarly journals CCPLS reveals cell-type-specific spatial dependence of transcriptomes in single cells

2022 ◽  
Author(s):  
Takaho Tsuchiya ◽  
Hiroki Hori ◽  
Haruka Ozaki
Keyword(s):  
Gene Expression ◽  
Single Cells ◽  
Cell Types ◽  
Regression Modeling ◽  
Transcriptome Data ◽  
Cell Type ◽  
Neighboring Cell ◽  
Expression Variability ◽  
Cell Expression ◽  
Cell Cell

Motivation: Cell-cell communications regulate internal cellular states of the cell, e.g., gene expression and cell functions, and play pivotal roles in normal development and disease states. Furthermore, single-cell RNA sequencing methods have revealed cell-to-cell expression variability of highly variable genes (HVGs), which is also crucial. Nevertheless, the regulation on cell-to-cell expression variability of HVGs via cell-cell communications is still unexplored. The recent advent of spatial transcriptome measurement methods has linked gene expression profiles to the spatial context of single cells, which has provided opportunities to reveal those regulations. The existing computational methods extract genes with expression levels that are influenced by neighboring cell types based on the spatial transcriptome data. However, limitations remain in the quantitativeness and interpretability: it neither focuses on HVGs, considers cooperation of neighboring cell types, nor quantifies the degree of regulation with each neighboring cell type. Results: Here, we propose CCPLS (Cell-Cell communications analysis by Partial Least Square regression modeling), which is a statistical framework for identifying cell-cell communications as the effects of multiple neighboring cell types on cell-to-cell expression variability of HVGs, based on the spatial transcriptome data. For each cell type, CCPLS performs PLS regression modeling and reports coefficients as the quantitative index of the cell-cell communications. Evaluation using simulated data showed our method accurately estimated effects of multiple neighboring cell types on HVGs. Furthermore, by applying CCPLS to the two real datasets, we demonstrate CCPLS can be used to extract biologically interpretable insights from the inferred cell-cell communications.

scholarly journals Coordination of RNA Processing Regulation by Signal Transduction Pathways

Biomolecules ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1475
Author(s):  
Veronica Ruta ◽  
Vittoria Pagliarini ◽  
Claudio Sette
Keyword(s):  
Gene Expression ◽  
Signal Transduction ◽  
Rna Processing ◽  
Translational Regulation ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Regulation Of Gene Expression ◽  
Signal Transduction Pathways ◽  
Challenges And Opportunities ◽  
Common Signal

Signal transduction pathways transmit the information received from external and internal cues and generate a response that allows the cell to adapt to changes in the surrounding environment. Signaling pathways trigger rapid responses by changing the activity or localization of existing molecules, as well as long-term responses that require the activation of gene expression programs. All steps involved in the regulation of gene expression, from transcription to processing and utilization of new transcripts, are modulated by multiple signal transduction pathways. This review provides a broad overview of the post-translational regulation of factors involved in RNA processing events by signal transduction pathways, with particular focus on the regulation of pre-mRNA splicing, cleavage and polyadenylation. The effects of several post-translational modifications (i.e., sumoylation, ubiquitination, methylation, acetylation and phosphorylation) on the expression, subcellular localization, stability and affinity for RNA and protein partners of many RNA-binding proteins are highlighted. Moreover, examples of how some of the most common signal transduction pathways can modulate biological processes through changes in RNA processing regulation are illustrated. Lastly, we discuss challenges and opportunities of therapeutic approaches that correct RNA processing defects and target signaling molecules.

Abstract P104: Reactivation of Embryonic Gene Program due to CUG Repeat RNA Expression in Myotonic Dystrophy

2011 ◽  
Vol 109 (suppl_1) ◽  
Author(s):  
Auinash Kalsotra ◽  
Ravi Singh ◽  
Chad Creighton ◽  
Thomas Cooper
Keyword(s):  
Gene Expression ◽  
Myotonic Dystrophy ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Expression Patterns ◽  
Causative Mutation ◽  
Inherited Disease ◽  
Aberrant Expression ◽  
Organ Systems ◽  
General Response

Myotonic dystrophy type 1 (DM1) is a dominantly inherited disease that affects multiple organ systems. Cardiac involvement, which is characterized by conduction defects and arrhythmias, is the second leading cause of death in DM1 patients. The causative mutation is a CTG expansion in the 3' untranslated region of DMPK gene resulting in aberrant expression of CUG repeat RNA that accumulates into nuclear foci and causes misregulation in alternative splicing. Here we show that heart-specific and inducible expression of CUG repeat RNA in a DM1 mouse model results in global reactivation of embryonic gene expression program in adult heart that is distinct from a general hypertrophic stress response. Using q-PCR TaqMan arrays, we identified 54 miRNAs that were differentially expressed in DM1 mouse hearts one week following induction of CUG repeat RNA. Interestingly, 83% (45/54) of them exhibited a developmental shift in expression towards the embryonic pattern. Because over 90% (41/45) of them were down regulated within 72 hr after induction of repeat RNA and only 2/22 examined decreased in two unrelated mouse models of heart disease, we conclude their reduced expression is specific to DM1 and not simply a general response to cardiac injury. Microarray studies revealed a developmental switch not only in the miRNA expression patterns but also a pervasive shift in mRNA steady state levels of a number of genes to embryonic stage. Intriguingly, we found that loss of MBNL1 or gain of CELF1 activity, two major RNA binding proteins disrupted in DM1, are not driving the miRNA misregulation since their expression is indistinguishable between wild type, MBNL1 knock out and CELF1 over expressing mice. Moreover, comparable decrease in ten out of ten primary miRNA transcripts examined suggests loss of expression is not due to a processing defect. Instead, we discovered that adult-to-embryonic shift in expression of select micro- and messenger RNAs in DM1 heart occurs due to specific inactivation of a Mef2 transcriptional program. We are currently determining causal contributions of this Mef2-miRNA circuitry in the developmental reprogramming of gene expression in DM1 as well as its direct role in cardiac manifestations of this disease.

scholarly journals A Study of Gene Expression Changes in Human Spinal and Oculomotor Neurons; Identifying Potential Links to Sporadic ALS

Genes ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 448
Author(s):  
Aayan N. Patel ◽  
Dennis Mathew
Keyword(s):  
Gene Expression ◽  
Disease Progression ◽  
Motor Neurons ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Tissue Samples ◽  
Disease Symptoms ◽  
Sporadic Als ◽  
Oculomotor Neurons ◽  
Als Patients

Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease that causes compromised function of motor neurons and neuronal death. However, oculomotor neurons are largely spared from disease symptoms. The underlying causes for sporadic ALS as well as for the resistance of oculomotor neurons to disease symptoms remain poorly understood. In this bioinformatic-analysis, we compared the gene expression profiles of spinal and oculomotor tissue samples from control individuals and sporadic ALS patients. We show that the genes GAD2 and GABRE (involved in GABA signaling), and CALB1 (involved in intracellular Ca2+ ion buffering) are downregulated in the spinal tissues of ALS patients, but their endogenous levels are higher in oculomotor tissues relative to the spinal tissues. Our results suggest that the downregulation of these genes and processes in spinal tissues are related to sporadic ALS disease progression and their upregulation in oculomotor neurons confer upon them resistance to ALS symptoms. These results build upon prevailing models of excitotoxicity that are relevant to sporadic ALS disease progression and point out unique opportunities for better understanding the progression of neurodegenerative properties associated with sporadic ALS.

scholarly journals Antisense Transcription across Nucleotide Repeat Expansions in Neurodegenerative and Neuromuscular Diseases: Progress and Mysteries

Genes ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 1418
Author(s):  
Ana F. Castro ◽  
Joana R. Loureiro ◽  
José Bessa ◽  
Isabel Silveira
Keyword(s):  
Gene Expression ◽  
Neuromuscular Diseases ◽  
Antisense Transcription ◽  
Spinocerebellar Ataxia Type ◽  
Spinocerebellar Ataxia Type 7 ◽  
Repeat Expansions ◽  
Cellular Pathways ◽  
The Impact ◽  
Lateral Sclerosis

Unstable repeat expansions and insertions cause more than 30 neurodegenerative and neuromuscular diseases. Remarkably, bidirectional transcription of repeat expansions has been identified in at least 14 of these diseases. More remarkably, a growing number of studies has been showing that both sense and antisense repeat RNAs are able to dysregulate important cellular pathways, contributing together to the observed clinical phenotype. Notably, antisense repeat RNAs from spinocerebellar ataxia type 7, myotonic dystrophy type 1, Huntington’s disease and frontotemporal dementia/amyotrophic lateral sclerosis associated genes have been implicated in transcriptional regulation of sense gene expression, acting either at a transcriptional or posttranscriptional level. The recent evidence that antisense repeat RNAs could modulate gene expression broadens our understanding of the pathogenic pathways and adds more complexity to the development of therapeutic strategies for these disorders. In this review, we cover the amazing progress made in the understanding of the pathogenic mechanisms associated with repeat expansion neurodegenerative and neuromuscular diseases with a focus on the impact of antisense repeat transcription in the development of efficient therapies.

scholarly journals TISCH: a comprehensive web resource enabling interactive single-cell transcriptome visualization of tumor microenvironment

2020 ◽  
Vol 49 (D1) ◽  
pp. D1420-D1430
Author(s):  
Dongqing Sun ◽  
Jin Wang ◽  
Ya Han ◽  
Xin Dong ◽  
Jun Ge ◽  
...  
Keyword(s):  
Gene Expression ◽  
Tumor Microenvironment ◽  
Single Cell ◽  
Large Scale ◽  
Differential Expression Analysis ◽  
Enrichment Analysis ◽  
Functional Enrichment ◽  
Multiple Cancer ◽  
Web Resource ◽  
Cancer Types

Abstract Cancer immunotherapy targeting co-inhibitory pathways by checkpoint blockade shows remarkable efficacy in a variety of cancer types. However, only a minority of patients respond to treatment due to the stochastic heterogeneity of tumor microenvironment (TME). Recent advances in single-cell RNA-seq technologies enabled comprehensive characterization of the immune system heterogeneity in tumors but posed computational challenges on integrating and utilizing the massive published datasets to inform immunotherapy. Here, we present Tumor Immune Single Cell Hub (TISCH, http://tisch.comp-genomics.org), a large-scale curated database that integrates single-cell transcriptomic profiles of nearly 2 million cells from 76 high-quality tumor datasets across 27 cancer types. All the data were uniformly processed with a standardized workflow, including quality control, batch effect removal, clustering, cell-type annotation, malignant cell classification, differential expression analysis and functional enrichment analysis. TISCH provides interactive gene expression visualization across multiple datasets at the single-cell level or cluster level, allowing systematic comparison between different cell-types, patients, tissue origins, treatment and response groups, and even different cancer-types. In summary, TISCH provides a user-friendly interface for systematically visualizing, searching and downloading gene expression atlas in the TME from multiple cancer types, enabling fast, flexible and comprehensive exploration of the TME.

The role of a conserved dodecamer sequence in yeast mitochondrial gene expression

Genome ◽  
1989 ◽  
Vol 31 (2) ◽  
pp. 757-760 ◽  
Author(s):  
Ronald A. Butow ◽  
Hong Zhu ◽  
Philip Perlman ◽  
Heather Conrad-Webb
Keyword(s):  
Gene Expression ◽  
Rna Processing ◽  
Mitochondrial Gene ◽  
Rna Stability ◽  
Rrna Gene ◽  
Mitochondrial Gene Expression ◽  
Reading Frame ◽  
Multicomponent Complex ◽  
Var1 Gene

All mRNAs on the yeast mitochondrial genome terminate at a conserved dodecamer sequence 5′-AAUAAUAUUCUU-3′. We have characterized two mutants with altered dodecamers. One contains a deletion of the dodecamer at the end of the var1 gene, and the other contains two adjacent transversions in the dodecamer at the end of the reading frame of fit1, a gene within the ω+ allele of the 21S rRNA gene. In each mutant, expression of the respective gene is blocked completely. A dominant nuclear suppressor, SUV3-1, was isolated that suppresses the var1 deletion but is without effect on the fit1 dodecamer mutations. Unexpectedly, however, we found that SUV3-1 blocks expression of the wild-type fit1 allele by blocking processing at its dodecamer. SUV3-1 has pleiotropic effects on mitochondrial gene expression, affecting RNA processing, RNA stability, and translation. Our results suggest that RNA metabolism and translation may be part of a multicomponent complex within mitochondria.Key words: mitochondria, yeast, mRNA, RNA processing, 3′ dodecamer.

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