scholarly journals Mechanistic Computational Models of MicroRNA-Mediated Signaling Networks in Human Diseases

2019 ◽  
Vol 20 (2) ◽  
pp. 421 ◽  
Author(s):  
Chen Zhao ◽  
Yu Zhang ◽  
Aleksander Popel
Keyword(s):  
Gene Expression ◽  
Systems Biology ◽  
Complex Disease ◽  
Expression Patterns ◽  
Regulation Of Gene Expression ◽  
Phenotypic Expression ◽  
Human Diseases ◽  
Regulatory Function ◽  
Regulatory Pathways ◽  
Disease Pathways

MicroRNAs (miRs) are endogenous non-coding RNA molecules that play important roles in human health and disease by regulating gene expression and cellular processes. In recent years, with the increasing scientific knowledge and new discovery of miRs and their gene targets, as well as the plentiful experimental evidence that shows dysregulation of miRs in a wide variety of human diseases, the computational modeling approach has emerged as an effective tool to help researchers identify novel functional associations between differential miR expression and diseases, dissect the phenotypic expression patterns of miRs in gene regulatory networks, and elucidate the critical roles of miRs in the modulation of disease pathways from mechanistic and quantitative perspectives. Here we will review the recent systems biology studies that employed different kinetic modeling techniques to provide mechanistic insights relating to the regulatory function and therapeutic potential of miRs in human diseases. Some of the key computational aspects to be discussed in detail in this review include (i) models of miR-mediated network motifs in the regulation of gene expression, (ii) models of miR biogenesis and miR–target interactions, and (iii) the incorporation of such models into complex disease pathways in order to generate mechanistic, molecular- and systems-level understanding of pathophysiology. Other related bioinformatics tools such as computational platforms that predict miR-disease associations will also be discussed, and we will provide perspectives on the challenges and opportunities in the future development and translational application of data-driven systems biology models that involve miRs and their regulatory pathways in human diseases.

scholarly journals Compendium of Methods to Uncover RNA-Protein Interactions In Vivo

2021 ◽  
Vol 4 (1) ◽  
pp. 22
Author(s):  
Mrinmoyee Majumder ◽  
Viswanathan Palanisamy
Keyword(s):  
Gene Expression ◽  
Protein Interactions ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Expression Patterns ◽  
Control Of Gene Expression ◽  
Regulatory Pathways ◽  
Advantages And Disadvantages ◽  
Protein Nucleic Acid

Control of gene expression is critical in shaping the pro-and eukaryotic organisms’ genotype and phenotype. The gene expression regulatory pathways solely rely on protein–protein and protein–nucleic acid interactions, which determine the fate of the nucleic acids. RNA–protein interactions play a significant role in co- and post-transcriptional regulation to control gene expression. RNA-binding proteins (RBPs) are a diverse group of macromolecules that bind to RNA and play an essential role in RNA biology by regulating pre-mRNA processing, maturation, nuclear transport, stability, and translation. Hence, the studies aimed at investigating RNA–protein interactions are essential to advance our knowledge in gene expression patterns associated with health and disease. Here we discuss the long-established and current technologies that are widely used to study RNA–protein interactions in vivo. We also present the advantages and disadvantages of each method discussed in the review.

scholarly journals Application of microRNA Database Mining in Biomarker Discovery and Identification of Therapeutic Targets for Complex Disease

2020 ◽  
Vol 4 (1) ◽  
pp. 5
Author(s):  
Jennifer L. Major ◽  
Rushita A. Bagchi ◽  
Julie Pires da Silva
Keyword(s):  
Complex Disease ◽  
Biomarker Discovery ◽  
Ischemia Reperfusion Injury ◽  
Ischemia Reperfusion ◽  
Expression Patterns ◽  
Therapeutic Targets ◽  
Human Diseases ◽  
Mirna Expression Data ◽  
Artery Disease ◽  
Underlying Mechanisms

Over the past two decades, it has become increasingly evident that microRNAs (miRNA) play a major role in human diseases such as cancer and cardiovascular diseases. Moreover, their easy detection in circulation has made them a tantalizing target for biomarkers of disease. This surge in interest has led to the accumulation of a vast amount of miRNA expression data, prediction tools, and repositories. We used the Human microRNA Disease Database (HMDD) to discover miRNAs which shared expression patterns in the related diseases of ischemia/reperfusion injury, coronary artery disease, stroke, and obesity as a model to identify miRNA candidates for biomarker and/or therapeutic intervention in complex human diseases. Our analysis identified a single miRNA, hsa-miR-21, which was casually linked to all four pathologies, and numerous others which have been detected in the circulation in more than one of the diseases. Target analysis revealed that hsa-miR-21 can regulate a number of genes related to inflammation and cell growth/death which are major underlying mechanisms of these related diseases. Our study demonstrates a model for researchers to use HMDD in combination with gene analysis tools to identify miRNAs which could serve as biomarkers and/or therapeutic targets of complex human diseases.

scholarly journals Systems Approaches to Treatment Response to Imatinib in Severe Asthma: A Pilot Study

2021 ◽  
Vol 11 (4) ◽  
pp. 240
Author(s):  
Seung Han Baek ◽  
Dinah Foer ◽  
Katherine N. Cahill ◽  
Elliot Israel ◽  
Enrico Maiorino ◽  
...  
Keyword(s):  
Gene Expression ◽  
Clinical Trial ◽  
Systems Biology ◽  
Pilot Study ◽  
Severe Asthma ◽  
Treated Patient ◽  
Expression Patterns ◽  
Airflow Limitation ◽  
Response To Treatment ◽  
Imatinib Treatment

There is an acute need for advances in pharmacologic therapies and a better understanding of novel drug targets for severe asthma. Imatinib, a tyrosine kinase inhibitor, has been shown to improve forced expiratory volume in 1 s (FEV1) in a clinical trial of patients with severe asthma. In a pilot study, we applied systems biology approaches to epithelium gene expression from these clinical trial patients treated with imatinib to better understand lung function response with imatinib treatment. Bronchial brushings from ten imatinib-treated patient samples and 14 placebo-treated patient samples were analyzed. We used personalized perturbation profiles (PEEPs) to characterize gene expression patterns at the individual patient level. We found that strong responders—patients with greater than 20% increase in FEV1—uniquely shared multiple downregulated mitochondrial-related pathways. In comparison, weak responders (5–10% FEV1 increase), and non-responders to imatinib shared none of these pathways. The use of PEEP highlights its potential for application as a systems biology tool to develop individual-level approaches to predicting disease phenotypes and response to treatment in populations needing innovative therapies. These results support a role for mitochondrial pathways in airflow limitation in severe asthma and as potential therapeutic targets in larger clinical trials.

scholarly journals Cell-type Specific Expression Quantitative Trait Loci Associated with Alzheimer Disease in Blood and Brain Tissue

2020 ◽  
Author(s):  
Devanshi Patel ◽  
Xiaoling Zhang ◽  
John J. Farrell ◽  
Jaeyoon Chung ◽  
Thor D. Stein ◽  
...  
Keyword(s):  
Gene Expression ◽  
Quantitative Trait ◽  
Expression Patterns ◽  
Regulation Of Gene Expression ◽  
Cell Types ◽  
Eqtl Analysis ◽  
Cell Type ◽  
Specific Expression ◽  
Cell Type Specific Expression ◽  
Cell Type Specific

ABSTRACTBecause regulation of gene expression is heritable and context-dependent, we investigated AD-related gene expression patterns in cell-types in blood and brain. Cis-expression quantitative trait locus (eQTL) mapping was performed genome-wide in blood from 5,257 Framingham Heart Study (FHS) participants and in brain donated by 475 Religious Orders Study/Memory & Aging Project (ROSMAP) participants. The association of gene expression with genotypes for all cis SNPs within 1Mb of genes was evaluated using linear regression models for unrelated subjects and linear mixed models for related subjects. Cell type-specific eQTL (ct-eQTL) models included an interaction term for expression of “proxy” genes that discriminate particular cell type. Ct-eQTL analysis identified 11,649 and 2,533 additional significant gene-SNP eQTL pairs in brain and blood, respectively, that were not detected in generic eQTL analysis. Of note, 386 unique target eGenes of significant eQTLs shared between blood and brain were enriched in apoptosis and Wnt signaling pathways. Five of these shared genes are established AD loci. The potential importance and relevance to AD of significant results in myeloid cell-types is supported by the observation that a large portion of GWS ct-eQTLs map within 1Mb of established AD loci and 58% (23/40) of the most significant eGenes in these eQTLs have previously been implicated in AD. This study identified cell-type specific expression patterns for established and potentially novel AD genes, found additional evidence for the role of myeloid cells in AD risk, and discovered potential novel blood and brain AD biomarkers that highlight the importance of cell-type specific analysis.

scholarly journals Function of cofactor Akirin2 in the regulation of gene expression in model human Caucasian neutrophil-like HL60 cells

2021 ◽  
Author(s):  
Sara Artigas-Jerónimo ◽  
Margarita Villar ◽  
Agustín Estrada-Peña ◽  
Adrián Velázquez-Campoy ◽  
Pilar Alberdi ◽  
...  
Keyword(s):  
Gene Expression ◽  
Neural Development ◽  
Transcriptional Activation ◽  
Regulation Of Gene Expression ◽  
Regulatory Function ◽  
Biological Processes ◽  
Protein Targets ◽  
Chromatin Remodelers ◽  
Hl60 Cells ◽  
Associated Proteins

The Akirin family of transcription cofactors are involved throughout the metazoan in the regulation of different biological processes such as immunity, interdigital regression, muscle and neural development. Akirin do not have catalytic or DNA-binding capability and exert its regulatory function primarily through interacting proteins such as transcription factors, chromatin remodelers, and RNA-associated proteins. In this study, we focused on the human Akirin2 regulome and interactome in neutrophil-like model human Caucasian promyelocytic leukemia HL60 cells. Our hypothesis is that metazoan evolved to have Akirin2 functional complements and different Akirin2-mediated mechanisms for the regulation of gene expression. To address this hypothesis, experiments were conducted using transcriptomics, proteomics and systems biology approaches in akirin2 knockdown and wildtype HL60 cells to characterize Akirin2 gene/protein targets, functional complements and to provide evidence of different mechanisms that may be involved in Akirin2-mediated regulation of gene expression. The results revealed Akirin2 gene/protein targets in multiple biological processes with higher representation of immunity and identified immune response genes as candidate Akirin2 functional complements. In addition to linking chromatin remodelers with transcriptional activation, Akirin2 also interacts with histone H3.1 for regulation of gene expression.

scholarly journals An integrative multi-omics approach in Sjögren’s Syndrome identifies novel genetic drivers with regulatory function and disease-specificity

2020 ◽  
Author(s):  
María Teruel ◽  
Guillermo Barturen ◽  
Manuel Martínez-Bueno ◽  
Miguel Barroso ◽  
Olivia Castelli ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Sjögren’S Syndrome ◽  
Genetic Variants ◽  
Sjögren's Syndrome ◽  
Expression Patterns ◽  
Sjogren’S Syndrome ◽  
Sjogren's Syndrome ◽  
Regulatory Function ◽  
Sjögren‘S Syndrome

ABSTRACTPrimary Sjögren’s syndrome (SS) is a systemic autoimmune disease characterized by lymphocytic infiltration and damage of exocrine salivary and lacrimal glands. The etiology of SS is complex with environmental triggers and genetic factors involved. By conducting an integrated multi-omics study we identified vast coordinated hypomethylation and overexpression effects, that also exhibit increased variability, in many already known IFN-regulated genes. We report a novel epigenetic signature characterized by increased DNA methylation levels in a large number of novel genes enriched in pathways such as collagen metabolism and extracellular matrix organization. We identified new genetic variants associated with SS that mediate their risk by altering DNA methylation or gene expression patterns, as well as disease-interacting genetic variants that exhibit regulatory function only in the SS population. Our study sheds new light on the interaction between genetics, DNA methylation, gene expression and SS, and contributes to elucidate the genetic architecture of gene regulation in an autoimmune population.

Abstract 18584: Decoding the Regulatory LncRNAs in Neonatal Heart During Perinatal Circulatory Transition

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Marlin Touma ◽  
Ashley Cass ◽  
Xuedong Kang ◽  
Yan Zhao ◽  
Reshma Biniwale ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cell Cycle ◽  
Rna Sequencing ◽  
Expression Patterns ◽  
Regulatory Function ◽  
Newborn Mouse ◽  
Protein Coding ◽  
Congenital Diseases ◽  
Gene Pairs ◽  
Neonatal Heart

Background: Fetal to neonatal transition of heart is an elaborate process, during which, neonatal cardiomyocytes undergo functional maturation and terminal exit from the cell cycle. However, transcriptome programming in neonatal cardiac chambers during perinatal stages is understudied. In particular, the changes in long non-coding RNAs (lncRNAs) in neonatal heart have not been explored. Objective: To achieve transcriptome-wide analysis of lncRNAs in neonatal left ventricle (LV) and right ventricle (RV) during maturation stages using deep RNA-Sequencing Methods: Deep RNA-sequencing was performed on male newborn mouse (C57 BL) LV and RV at 3 time points of perinatal circulatory transition: P0, P3 and P7. Reads were mapped to mouse genome (mm10). The lncRNAs annotated in NONCODE database were identified. Differentially expressed lncRNAs were defined as those with coefficient of variation ≥0.2, at a false discovery rate ≤0.05, and expressed at ≥3 RPKM in at least one sample. Correlated lncRNAs/ gene pairs were identified using Pearson’s (r2≥0.8, P≤0.05). A subset of LncRNAs/gene expression was validated using qRT-PCR. Results: Out of the 70, 983 observed unique lncRNAs, approximately 7000 were identified exhibiting significant variation during maturation windows with highly spatial-temporal dependent expression patterns, including approximately 5000 known and 2000 novel lncRNAs. Notably, 20% of these lncRNAs were located within 50 KB of a protein coding gene. Out of a total of 2400 lncRNAs/gene pairs, 10 % exhibited significantly concordant (lncRNA/gene) expression patterns. These correlated genes were significantly enriched in metabolism, cell cycle and contractility functional ontology. Interestingly, some of these lncRNAs exhibited concordance with their neighboring gene in human tissues with congenital heart defects, suggesting conserved, potentially significant, regulatory function. Conclusions: Transcriptome programming during neonatal heart maturation involves global changes in lncRNAs. Their expression concordance with neighboring protein coding genes implicates potential important regulatory role of lncRNAs in neonatal heart chamber specification and congenital diseases.

scholarly journals Systems Biology Analysis of the Antagonizing Effects of HIV-1 Tat Expression in the Brain over Transcriptional Changes Caused by Methamphetamine Sensitization

Viruses ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 426 ◽  
Author(s):  
Liana V. Basova ◽  
James P. Kesby ◽  
Marcus Kaul ◽  
Svetlana Semenova ◽  
Maria Cecilia Garibaldi Marcondes
Keyword(s):  
Gene Expression ◽  
Systems Biology ◽  
Gene Transcription ◽  
Gene Networks ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Global Gene Expression ◽  
Sirtuin 1 ◽  
The Brain ◽  
Hiv 1

Methamphetamine (Meth) abuse is common among humans with immunodeficiency virus (HIV). The HIV-1 regulatory protein, trans-activator of transcription (Tat), has been described to induce changes in brain gene transcription that can result in impaired reward circuitry, as well as in inflammatory processes. In transgenic mice with doxycycline-induced Tat protein expression in the brain, i.e., a mouse model of neuroHIV, we tested global gene expression patterns induced by Meth sensitization. Meth-induced locomotor sensitization included repeated daily Meth or saline injections for seven days and Meth challenge after a seven-day abstinence period. Brain samples were collected 30 min after the Meth challenge. We investigated global gene expression changes in the caudate putamen, an area with relevance in behavior and HIV pathogenesis, and performed pathway and transcriptional factor usage predictions using systems biology strategies. We found that Tat expression alone had a very limited impact in gene transcription after the Meth challenge. In contrast, Meth-induced sensitization in the absence of Tat induced a global suppression of gene transcription. Interestingly, the interaction between Tat and Meth broadly prevented the Meth-induced global transcriptional suppression, by maintaining regulation pathways, and resulting in gene expression profiles that were more similar to the controls. Pathways associated with mitochondrial health, initiation of transcription and translation, as well as with epigenetic control, were heavily affected by Meth, and by its interaction with Tat in anti-directional ways. A series of systems strategies have predicted several components impacted by these interactions, including mitochondrial pathways, mTOR/RICTOR, AP-1 transcription factor, and eukaryotic initiation factors involved in transcription and translation. In spite of the antagonizing effects of Tat, a few genes identified in relevant gene networks remained downregulated, such as sirtuin 1, and the amyloid precursor protein (APP). In conclusion, Tat expression in the brain had a low acute transcriptional impact but strongly interacted with Meth sensitization, to modify effects in the global transcriptome.

scholarly journals Comparative Genomics and Transcriptomics To Analyze Fruiting Body Development in Filamentous Ascomycetes

Genetics ◽  
2019 ◽  
Vol 213 (4) ◽  
pp. 1545-1563 ◽  
Author(s):  
Ramona Lütkenhaus ◽  
Stefanie Traeger ◽  
Jan Breuer ◽  
Laia Carreté ◽  
Alan Kuo ◽  
...  
Keyword(s):  
Gene Expression ◽  
Fruiting Body ◽  
Molecular Mechanisms ◽  
Expression Patterns ◽  
Regulation Of Gene Expression ◽  
Comparative Transcriptomics ◽  
Fruiting Bodies ◽  
Body Development ◽  
Fruiting Body Development ◽  
Genes Encoding

Many filamentous ascomycetes develop three-dimensional fruiting bodies for production and dispersal of sexual spores. Fruiting bodies are among the most complex structures differentiated by ascomycetes; however, the molecular mechanisms underlying this process are insufficiently understood. Previous comparative transcriptomics analyses of fruiting body development in different ascomycetes suggested that there might be a core set of genes that are transcriptionally regulated in a similar manner across species. Conserved patterns of gene expression can be indicative of functional relevance, and therefore such a set of genes might constitute promising candidates for functional analyses. In this study, we have sequenced the genome of the Pezizomycete Ascodesmis nigricans, and performed comparative transcriptomics of developing fruiting bodies of this fungus, the Pezizomycete Pyronema confluens, and the Sordariomycete Sordaria macrospora. With only 27 Mb, the A. nigricans genome is the smallest Pezizomycete genome sequenced to date. Comparative transcriptomics indicated that gene expression patterns in developing fruiting bodies of the three species are more similar to each other than to nonsexual hyphae of the same species. An analysis of 83 genes that are upregulated only during fruiting body development in all three species revealed 23 genes encoding proteins with predicted roles in vesicle transport, the endomembrane system, or transport across membranes, and 13 genes encoding proteins with predicted roles in chromatin organization or the regulation of gene expression. Among four genes chosen for functional analysis by deletion in S. macrospora, three were shown to be involved in fruiting body formation, including two predicted chromatin modifier genes.

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