scholarly journals Integrating non-coding RNAs in JAK-STAT regulatory networks

JAK-STAT ◽  
2014 ◽  
Vol 3 (1) ◽  
pp. e28055 ◽  
Author(s):  
Steven Witte ◽  
Stefan A Muljo
Keyword(s):  
Regulatory Networks ◽  
Non Coding Rnas

Radio-Susceptibility of Nasopharyngeal Carcinoma: Focus on Epstein- Barr Virus, MicroRNAs, Long Non-Coding RNAs and Circular RNAs

2020 ◽  
Vol 13 (3) ◽  
pp. 192-205 ◽  
Author(s):  
Fanghong Lei ◽  
Tongda Lei ◽  
Yun Huang ◽  
Mingxiu Yang ◽  
Mingchu Liao ◽  
...  
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Regulatory Networks ◽  
Epstein Barr Virus ◽  
Molecular Mechanisms ◽  
Acquired Resistance ◽  
Treatment Strategies ◽  
Circular Rnas ◽  
Barr Virus ◽  
Non Coding Rnas ◽  
Epstein Barr

Nasopharyngeal carcinoma (NPC) is a type of head and neck cancer. As a neoplastic disorder, NPC is a highly malignant squamous cell carcinoma that is derived from the nasopharyngeal epithelium. NPC is radiosensitive; radiotherapy or radiotherapy combining with chemotherapy are the main treatment strategies. However, both modalities are usually accompanied by complications and acquired resistance to radiotherapy is a significant impediment to effective NPC therapy. Therefore, there is an urgent need to discover effective radio-sensitization and radio-resistance biomarkers for NPC. Recent studies have shown that Epstein-Barr virus (EBV)-encoded products, microRNAs (miRNAs), long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs), which share several common signaling pathways, can function in radio-related NPC cells or tissues. Understanding these interconnected regulatory networks will reveal the details of NPC radiation sensitivity and resistance. In this review, we discuss and summarize the specific molecular mechanisms of NPC radio-sensitization and radio-resistance, focusing on EBV-encoded products, miRNAs, lncRNAs and circRNAs. This will provide a foundation for the discovery of more accurate, effective and specific markers related to NPC radiotherapy. EBVencoded products, miRNAs, lncRNAs and circRNAs have emerged as crucial molecules mediating the radio-susceptibility of NPC. This understanding will improve the clinical application of markers and inform the development of novel therapeutics for NPC.

Label-free proteomic analysis reveals large dynamic changes to the cellular proteome upon expression of the miRNA-23a-27a-24-2 microRNA cluster

2020 ◽  
Vol 98 (1) ◽  
pp. 61-69 ◽  
Author(s):  
Ramanaguru S. Piragasam ◽  
S. Faraz Hussain ◽  
Steven G. Chaulk ◽  
Zaeem A. Siddiqi ◽  
Richard P. Fahlman
Keyword(s):  
Gene Expression ◽  
Proteomic Analysis ◽  
Small Rnas ◽  
Regulatory Networks ◽  
Mirna Cluster ◽  
Label Free ◽  
Dynamic Changes ◽  
Mrna Targets ◽  
Order Of Magnitude ◽  
Non Coding Rnas

In deciphering the regulatory networks of gene expression controlled by the small non-coding RNAs known as microRNAs (miRNAs), a major challenge has been with the identification of the true mRNA targets by these RNAs within the context of the enormous numbers of predicted targets for each of these small RNAs. To facilitate the system-wide identification of miRNA targets, a variety of system wide methods, such as proteomics, have been implemented. Here we describe the utilization of quantitative label-free proteomics and bioinformatics to identify the most significant changes to the proteome upon expression of the miR-23a-27a-24-2 miRNA cluster. In light of recent work leading to the hypothesis that only the most pronounced regulatory events by miRNAs may be physiologically relevant, our data reveal that label-free analysis circumvents the limitations of proteomic labeling techniques that limit the maximum differences that can be quantified. The result of our analysis identifies a series of novel candidate targets that are reduced in abundance by more than an order of magnitude upon the expression of the miR-23a-27a-24-2 cluster.

scholarly journals The PARP Inhibitor Olaparib Modulates the Transcriptional Regulatory Networks of Long Non-Coding RNAs during Vasculogenic Mimicry

Cells ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2690
Author(s):  
Mónica Fernández-Cortés ◽  
Eduardo Andrés-León ◽  
Francisco Javier Oliver
Keyword(s):  
Transcription Factors ◽  
Binding Sites ◽  
Regulatory Networks ◽  
Target Genes ◽  
Parp Inhibitor ◽  
Vasculogenic Mimicry ◽  
Transcriptome Profiling ◽  
Key Species ◽  
Non Coding Rnas ◽  
The Impact

In highly metastatic tumors, vasculogenic mimicry (VM) involves the acquisition by tumor cells of endothelial-like traits. Poly-(ADP-ribose) polymerase (PARP) inhibitors are currently used against tumors displaying BRCA1/2-dependent deficient homologous recombination, and they may have antimetastatic activity. Long non-coding RNAs (lncRNAs) are emerging as key species-specific regulators of cellular and disease processes. To evaluate the impact of olaparib treatment in the context of non-coding RNA, we have analyzed the expression of lncRNA after performing unbiased whole-transcriptome profiling of human uveal melanoma cells cultured to form VM. RNAseq revealed that the non-coding transcriptomic landscape differed between olaparib-treated and non-treated cells: olaparib significantly modulated the expression of 20 lncRNAs, 11 lncRNAs being upregulated, and 9 downregulated. We subjected the data to different bioinformatics tools and analysis in public databases. We found that copy-number variation alterations in some olaparib-modulated lncRNAs had a statistically significant correlation with alterations in some key tumor suppressor genes. Furthermore, the lncRNAs that were modulated by olaparib appeared to be regulated by common transcription factors: ETS1 had high-score binding sites in the promoters of all olaparib upregulated lncRNAs, while MZF1, RHOXF1 and NR2C2 had high-score binding sites in the promoters of all olaparib downregulated lncRNAs. Finally, we predicted that olaparib-modulated lncRNAs could further regulate several transcription factors and their subsequent target genes in melanoma, suggesting that olaparib may trigger a major shift in gene expression mediated by the regulation lncRNA. Globally, olaparib changed the lncRNA expression landscape during VM affecting angiogenesis-related genes.

scholarly journals Non-Coding RNAs in the Brain-Heart Axis: The Case of Parkinson’s Disease

2020 ◽  
Vol 21 (18) ◽  
pp. 6513 ◽  
Author(s):  
Shubhra Acharya ◽  
Antonio Salgado-Somoza ◽  
Francesca Maria Stefanizzi ◽  
Andrew I. Lumley ◽  
Lu Zhang ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
High Throughput ◽  
Regulatory Networks ◽  
Current Knowledge ◽  
Circular Rnas ◽  
Clinical Markers ◽  
Wide Range ◽  
Non Coding Rnas ◽  
The Brain

Parkinson’s disease (PD) is a complex and heterogeneous disorder involving multiple genetic and environmental influences. Although a wide range of PD risk factors and clinical markers for the symptomatic motor stage of the disease have been identified, there are still no reliable biomarkers available for the early pre-motor phase of PD and for predicting disease progression. High-throughput RNA-based biomarker profiling and modeling may provide a means to exploit the joint information content from a multitude of markers to derive diagnostic and prognostic signatures. In the field of PD biomarker research, currently, no clinically validated RNA-based biomarker models are available, but previous studies reported several significantly disease-associated changes in RNA abundances and activities in multiple human tissues and body fluids. Here, we review the current knowledge of the regulation and function of non-coding RNAs in PD, focusing on microRNAs, long non-coding RNAs, and circular RNAs. Since there is growing evidence for functional interactions between the heart and the brain, we discuss the benefits of studying the role of non-coding RNAs in organ interactions when deciphering the complex regulatory networks involved in PD progression. We finally review important concepts of harmonization and curation of high throughput datasets, and we discuss the potential of systems biomedicine to derive and evaluate RNA biomarker signatures from high-throughput expression data.

scholarly journals Highly Divergent Neuropeptide - non-coding RNA regulatory networks underpin variant host-finding behaviours in Steinernema species infective juveniles

2020 ◽  
Author(s):  
Neil D. Warnock ◽  
Erwan Atcheson ◽  
Ciaran McCoy ◽  
Johnathan J. Dalzell
Keyword(s):  
Gene Expression ◽  
Small Rna ◽  
Regulatory Networks ◽  
Host Finding ◽  
Protein Coding ◽  
Rna Analysis ◽  
New Family ◽  
Non Coding Rna ◽  
Non Coding Rnas ◽  
Shared Gene

AbstractWe conducted a transcriptomic and small RNA analysis of infective juveniles (IJs) from three behaviourally distinct Steinernema species. Substantial variation was found in the expression of shared gene orthologues, revealing gene expression signatures that correlate with behavioural states. 97% of predicted microRNAs are novel to each species. Surprisingly, our data provide evidence that isoform variation can effectively convert protein-coding neuropeptide genes into non-coding transcripts, which may represent a new family of long non-coding RNAs. These data suggest that differences in neuropeptide gene expression, isoform variation, and small RNA interactions could contribute to behavioural differences within the Steinernema genus.

scholarly journals Inference of bacterial small RNA regulatory networks and integration with transcription factor driven regulatory networks

2019 ◽  
Author(s):  
Mario L. Arrieta-Ortiz ◽  
Christoph Hafemeister ◽  
Bentley Shuster ◽  
Nitin S. Baliga ◽  
Richard Bonneau ◽  
...  
Keyword(s):  
Messenger Rna ◽  
Regulatory Networks ◽  
Network Inference ◽  
Bacterial Species ◽  
Data Driven ◽  
Translation Efficiency ◽  
General Applicability ◽  
Bacterial Gene ◽  
Wide Range ◽  
Non Coding Rnas

ABSTRACTSmall non-coding RNAs (sRNAs) are key regulators of bacterial gene expression. Through complementary base pairing, sRNAs affect messenger RNA stability and translation efficiency. Here, we describe a network inference approach designed to identify sRNA-mediated regulation of transcript levels. We use existing transcriptional datasets and prior knowledge to infer sRNA regulons using our network inference tool, theInferelator. This approach produces genome-wide gene regulatory networks that include contributions by both transcription factors and sRNAs. We show the benefits of estimating and incorporating sRNA activities into network inference pipelines. We comprehensively assess the accuracy of inferred sRNA regulons using available experimental data. We uncover 30 novel experimentally supported sRNA-mRNA interactions inEscherichia coli, outperforming previous network-based efforts. Our findings expand the role of sRNAs in the regulation of chemotaxis, oxidation-reduction processes, galactose intake, and generation of pyruvate. Additionally, our pipeline complements sequence-based sRNA-mRNA interaction prediction methods by adding a data-driven filtering step. Finally, we show the general applicability of our approach by identifying novel, experimentally supported, sRNA-mRNA interactions inPseudomonas aeruginosaandBacillus subtilis. Overall, our strategy generates novel insights into the functional implications of sRNA regulation in multiple bacterial species.IMPORTANCEIndividual bacterial genomes can have dozens of small non-coding RNAs with largely unexplored regulatory functions. Although bacterial sRNAs influence a wide range of biological processes, including antibiotic resistance and pathogenicity, our current understanding of sRNA-mediated regulation is far from complete. Most of the available information is restricted to a few well-studied bacterial species; and even in those species, only partial sets of sRNA targets have been characterized in detail. To close this information gap, we developed a computational strategy that takes advantage of available transcriptional data and knowledge about validated and putative sRNA-mRNA interactions. Our approach facilitates the identification of experimentally supported novel interactions while filtering out false positives. Due to its data-driven nature, our method emerges as an ideal strategy to identify biologically relevant interactions among lists of candidate sRNA-target pairs predictedin silicofrom sequence analysis or derived from sRNA-mRNA binding experiments.

scholarly journals The Contribution of Autophagy and LncRNAs to MYC-Driven Gene Regulatory Networks in Cancers

2021 ◽  
Vol 22 (16) ◽  
pp. 8527
Author(s):  
Leila Jahangiri ◽  
Perla Pucci ◽  
Tala Ishola ◽  
Ricky M. Trigg ◽  
John A. Williams ◽  
...  
Keyword(s):  
Gene Networks ◽  
Regulatory Networks ◽  
Metabolic Reprogramming ◽  
Cellular Processes ◽  
Cancer Genomes ◽  
Mutual Regulation ◽  
Myc Gene ◽  
Gene Regulatory ◽  
Non Coding Rnas

MYC is a target of the Wnt signalling pathway and governs numerous cellular and developmental programmes hijacked in cancers. The amplification of MYC is a frequently occurring genetic alteration in cancer genomes, and this transcription factor is implicated in metabolic reprogramming, cell death, and angiogenesis in cancers. In this review, we analyse MYC gene networks in solid cancers. We investigate the interaction of MYC with long non-coding RNAs (lncRNAs). Furthermore, we investigate the role of MYC regulatory networks in inducing changes to cellular processes, including autophagy and mitophagy. Finally, we review the interaction and mutual regulation between MYC and lncRNAs, and autophagic processes and analyse these networks as unexplored areas of targeting and manipulation for therapeutic gain in MYC-driven malignancies.

scholarly journals Riboregulation in Nitrogen-Fixing Endosymbiotic Bacteria

2020 ◽  
Vol 8 (3) ◽  
pp. 384 ◽  
Author(s):  
Marta Robledo ◽  
Natalia I. García-Tomsig ◽  
José I. Jiménez-Zurdo
Keyword(s):  
Stress Responses ◽  
Regulatory Networks ◽  
Transcriptional Control ◽  
Genetic Regulation ◽  
Regulation Of Gene Expression ◽  
Nodule Development ◽  
Nitrogen Fixing ◽  
Endosymbiotic Bacteria ◽  
Non Coding Rnas ◽  
Post Transcriptional Regulation

Small non-coding RNAs (sRNAs) are ubiquitous components of bacterial adaptive regulatory networks underlying stress responses and chronic intracellular infection of eukaryotic hosts. Thus, sRNA-mediated regulation of gene expression is expected to play a major role in the establishment of mutualistic root nodule endosymbiosis between nitrogen-fixing rhizobia and legume plants. However, knowledge about this level of genetic regulation in this group of plant-interacting bacteria is still rather scarce. Here, we review insights into the rhizobial non-coding transcriptome and sRNA-mediated post-transcriptional regulation of symbiotic relevant traits such as nutrient uptake, cell cycle, quorum sensing, or nodule development. We provide details about the transcriptional control and protein-assisted activity mechanisms of the functionally characterized sRNAs involved in these processes. Finally, we discuss the forthcoming research on riboregulation in legume symbionts.

scholarly journals A primate-specific retroviral enhancer wires the XACT lncRNA into the core pluripotency network in humans

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Miguel Casanova ◽  
Madeleine Moscatelli ◽  
Louis Édouard Chauvière ◽  
Christophe Huret ◽  
Julia Samson ◽  
...  
Keyword(s):  
Gene Regulatory Networks ◽  
Regulatory Networks ◽  
Endogenous Retroviruses ◽  
X Chromosomes ◽  
Regulatory Pathways ◽  
Gene Regulatory ◽  
Non Coding Rnas ◽  
Specific Regulation ◽  
Species Specific ◽  
And Function

AbstractTransposable elements (TEs) have been proposed to play an important role in driving the expansion of gene regulatory networks during mammalian evolution, notably by contributing to the evolution and function of long non-coding RNAs (lncRNAs). XACT is a primate-specific TE-derived lncRNA that coats active X chromosomes in pluripotent cells and may contribute to species-specific regulation of X-chromosome inactivation. Here we explore how different families of TEs have contributed to shaping the XACT locus and coupling its expression to pluripotency. Through a combination of sequence analysis across primates, transcriptional interference, and genome editing, we identify a critical enhancer for the regulation of the XACT locus that evolved from an ancestral group of mammalian endogenous retroviruses (ERVs), prior to the emergence of XACT. This ERV was hijacked by younger hominoid-specific ERVs that gave rise to the promoter of XACT, thus wiring its expression to the pluripotency network. This work illustrates how retroviral-derived sequences may intervene in species-specific regulatory pathways.

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