scholarly journals Non-Coding RNAs and SARS-Related Coronaviruses

Viruses ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 1374
Author(s):  
Hanna Henzinger ◽  
Dominik A. Barth ◽  
Christiane Klec ◽  
Martin Pichler
Keyword(s):  
Virus Infection ◽  
Treatment Options ◽  
Expression Patterns ◽  
Viral Rna ◽  
Host Cells ◽  
Antiviral Immune Response ◽  
Major Health ◽  
Complementary Sequences ◽  
Non Coding Rnas ◽  
Insight Into

The emergence of SARS-CoV-2 in 2019 has caused a major health and economic crisis around the globe. Gaining knowledge about its attributes and interactions with human host cells is crucial. Non-coding RNAs (ncRNAs) are involved in the host cells’ innate antiviral immune response. In RNA interference, microRNAs (miRNAs) may bind to complementary sequences of the viral RNA strand, forming an miRNA-induced silencing complex, which destroys the viral RNA, thereby inhibiting viral protein expression. There are several targets for human miRNAs on SARS-CoV-2’s RNA, most of which are in the 5’ and 3’ untranslated regions. Mutations of the viral genome causing the creation or loss of miRNA binding sites may have crucial effects on SARS-CoV-2 pathogenicity. In addition to mediating immunity, the ncRNA landscape of host cells further influences their susceptibility to virus infection, as certain miRNAs are essential in the regulation of cellular receptors that are necessary for virus invasion. Conversely, virus infection also changes the host ncRNA expression patterns, possibly augmenting conditions for viral replication and dissemination. Hence, ncRNAs typically upregulated in SARS-CoV-2 infection could be useful biomarkers for disease progression and severity. Understanding these mechanisms could provide further insight into the pathogenesis and possible treatment options against COVID-19.

Discovery and Characterization of Differentially Expressed Soybean MiRNAs and Their Targets During Soybean Mosaic Virus Infection Unveils Novel Insight Into Soybean-SMV Interaction

2021 ◽  
Author(s):  
Bowen Li ◽  
Adhimoolam Karthikeyan ◽  
Liqun Wang ◽  
Jinlong Yin ◽  
Tongtong Jin ◽  
...  
Keyword(s):  
Virus Infection ◽  
Mosaic Virus ◽  
Target Genes ◽  
Soybean Mosaic Virus ◽  
Expression Patterns ◽  
Defense Responses ◽  
Pcr Analysis ◽  
Functional Annotations ◽  
Additional Information ◽  
Insight Into

Abstract Background: Soybean mosaic virus (SMV) is the most devastating pathogen of soybean. MicroRNAs (miRNAs) are a class of non-coding RNAs (21-24 nucleotides) and play important roles in regulating defense responses against pathogens. However, miRNA's response to SMV in soybean is not as well documented. Result: In this study, we analyzed 18 miRNA libraries, including three biological replicates from two soybean lines (Resistant and susceptible lines to SMV strain SC3 selected from the near-isogenic lines of Qihuang No. 1× Nannong1138-2) after virus infection at three different time intervals (0 dpi, 7 dpi, and 14 dpi). A total of 1,092 miRNAs, including 608 known miRNAs and 484 novel miRNAs were detected. Differential expression analyses identified the miRNAs responded during soybean-SMV interaction. Then, miRNAs potential target genes were predicted via data mining, and functional annotation was done by Gene Ontology (GO) analysis. Eventually, the expression patterns of several miRNAs validated by quantitative real-time PCR analysis are consistent with sequencing results. Conclusion: We have identified a large number of miRNAs and their target genes and also functional annotations. Our study provides additional information on soybean miRNAs and an insight into the role of miRNAs during SMV-infection in soybean.

scholarly journals Viral RNA at Two Stages of Reovirus Infection Is Required for the Induction of Necroptosis

2017 ◽  
Vol 91 (6) ◽  
Author(s):  
Angela K. Berger ◽  
Bradley E. Hiller ◽  
Deepti Thete ◽  
Anthony J. Snyder ◽  
Encarnacion Perez ◽  
...  
Keyword(s):  
Cell Death ◽  
Immune System ◽  
Virus Infection ◽  
De Novo ◽  
Rna Virus ◽  
Viral Rna ◽  
Host Cells ◽  
Type I ◽  
Tissue Destruction ◽  
Reovirus Infection

ABSTRACT Necroptosis, a regulated form of necrotic cell death, requires the activation of the RIP3 kinase. Here, we identify that infection of host cells with reovirus can result in necroptosis. We find that necroptosis requires sensing of the genomic RNA within incoming virus particles via cytoplasmic RNA sensors to produce type I interferon (IFN). While these events that occur prior to the de novo synthesis of viral RNA are required for the induction of necroptosis, they are not sufficient. The induction of necroptosis also requires late stages of reovirus infection. Specifically, efficient synthesis of double-stranded RNA (dsRNA) within infected cells is required for necroptosis. These data indicate that viral RNA interfaces with host components at two different stages of infection to induce necroptosis. This work provides new molecular details about events in the viral replication cycle that contribute to the induction of necroptosis following infection with an RNA virus. IMPORTANCE An appreciation of how cell death pathways are regulated following viral infection may reveal strategies to limit tissue destruction and prevent the onset of disease. Cell death following virus infection can occur by apoptosis or a regulated form of necrosis known as necroptosis. Apoptotic cells are typically disposed of without activating the immune system. In contrast, necroptotic cells alert the immune system, resulting in inflammation and tissue damage. While apoptosis following virus infection has been extensively investigated, how necroptosis is unleashed following virus infection is understood for only a small group of viruses. Here, using mammalian reovirus, we highlight the molecular mechanism by which infection with a dsRNA virus results in necroptosis.

scholarly journals Glycosylation in Indolent, Significant and Aggressive Prostate Cancer by Automated High-Throughput N-Glycan Profiling

2020 ◽  
Vol 21 (23) ◽  
pp. 9233
Author(s):  
Sarah Gilgunn ◽  
Keefe Murphy ◽  
Henning Stöckmann ◽  
Paul J. Conroy ◽  
T. Brendan Murphy ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
High Throughput ◽  
Expression Patterns ◽  
Ultra Performance Liquid Chromatography ◽  
High Throughput Analysis ◽  
Major Health ◽  
Glycan Profiling ◽  
Cellular Modifications ◽  
Analysis Platform ◽  
Insight Into

The diagnosis and treatment of prostate cancer (PCa) is a major health-care concern worldwide. This cancer can manifest itself in many distinct forms and the transition from clinically indolent PCa to the more invasive aggressive form remains poorly understood. It is now universally accepted that glycan expression patterns change with the cellular modifications that accompany the onset of tumorigenesis. The aim of this study was to investigate if differential glycosylation patterns could distinguish between indolent, significant, and aggressive PCa. Whole serum N-glycan profiling was carried out on 117 prostate cancer patients’ serum using our automated, high-throughput analysis platform for glycan-profiling which utilizes ultra-performance liquid chromatography (UPLC) to obtain high resolution separation of N-linked glycans released from the serum glycoproteins. We observed increases in hybrid, oligomannose, and biantennary digalactosylated monosialylated glycans (M5A1G1S1, M8, and A2G2S1), bisecting glycans (A2B, A2(6)BG1) and monoantennary glycans (A1), and decreases in triantennary trigalactosylated trisialylated glycans with and without core fucose (A3G3S3 and FA3G3S3) with PCa progression from indolent through significant and aggressive disease. These changes give us an insight into the disease pathogenesis and identify potential biomarkers for monitoring the PCa progression, however these need further confirmation studies.

scholarly journals Long Non-Coding RNAs in Gliomas: From Molecular Pathology to Diagnostic Biomarkers and Therapeutic Targets

2018 ◽  
Vol 19 (9) ◽  
pp. 2754 ◽  
Author(s):  
Marek Vecera ◽  
Jiri Sana ◽  
Radim Lipina ◽  
Martin Smrcka ◽  
Ondrej Slaby
Keyword(s):  
Molecular Pathology ◽  
Molecular Mechanisms ◽  
Current Knowledge ◽  
Treatment Options ◽  
Expression Patterns ◽  
Therapeutic Targets ◽  
Predictive Biomarkers ◽  
Biological Behavior ◽  
Diagnostic Biomarkers ◽  
Non Coding Rnas

Gliomas are the most common malignancies of the central nervous system. Because of tumor localization and the biological behavior of tumor cells, gliomas are characterized by very poor prognosis. Despite significant efforts that have gone into glioma research in recent years, the therapeutic efficacy of available treatment options is still limited, and only a few clinically usable diagnostic biomarkers are available. More and more studies suggest non-coding RNAs to be promising diagnostic biomarkers and therapeutic targets in many cancers, including gliomas. One of the largest groups of these molecules is long non-coding RNAs (lncRNAs). LncRNAs show promising potential because of their unique tissue expression patterns and regulatory functions in cancer cells. Understanding the role of lncRNAs in gliomas may lead to discovery of the novel molecular mechanisms behind glioma biological features. It may also enable development of new solutions to overcome the greatest obstacles in therapy of glioma patients. In this review, we summarize the current knowledge about lncRNAs and their involvement in the molecular pathology of gliomas. A conclusion follows that these RNAs show great potential to serve as powerful diagnostic, prognostic, and predictive biomarkers as well as therapeutic targets.

scholarly journals Reovirus Low-Density Particles Package Cellular RNA

Viruses ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1096
Author(s):  
Timothy W. Thoner ◽  
Xiang Ye ◽  
John Karijolich ◽  
Kristen M. Ogden
Keyword(s):  
Rna Polymerase ◽  
Viral Proteins ◽  
Viral Rna ◽  
Low Density ◽  
Rna Packaging ◽  
Genome Packaging ◽  
Double Stranded Rna ◽  
Viral Genomes ◽  
Mammalian Orthoreovirus ◽  
Insight Into

Packaging of segmented, double-stranded RNA viral genomes requires coordination of viral proteins and RNA segments. For mammalian orthoreovirus (reovirus), evidence suggests either all ten or zero viral RNA segments are simultaneously packaged in a highly coordinated process hypothesized to exclude host RNA. Accordingly, reovirus generates genome-containing virions and “genomeless” top component particles. Whether reovirus virions or top component particles package host RNA is unknown. To gain insight into reovirus packaging potential and mechanisms, we employed next-generation RNA-sequencing to define the RNA content of enriched reovirus particles. Reovirus virions exclusively packaged viral double-stranded RNA. In contrast, reovirus top component particles contained similar proportions but reduced amounts of viral double-stranded RNA and were selectively enriched for numerous host RNA species, especially short, non-polyadenylated transcripts. Host RNA selection was not dependent on RNA abundance in the cell, and specifically enriched host RNAs varied for two reovirus strains and were not selected solely by the viral RNA polymerase. Collectively, these findings indicate that genome packaging into reovirus virions is exquisitely selective, while incorporation of host RNAs into top component particles is differentially selective and may contribute to or result from inefficient viral RNA packaging.

scholarly journals Time-resolved transcriptional profiling of Trichinella-infected murine myocytes helps to elucidate host–pathogen interactions in the muscle stage

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Xiaoxiang Hu ◽  
Xiaolei Liu ◽  
Chen Li ◽  
Yulu Zhang ◽  
Chengyao Li ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cell Biology ◽  
Trichinella Spiralis ◽  
Expression Patterns ◽  
Muscle Cells ◽  
Host Cells ◽  
Initial Reaction ◽  
Global Changes ◽  
Mammalian Skeletal Muscle ◽  
Time Resolved

Abstract Background Parasites of the genus Trichinella are the pathogenic agents of trichinellosis, which is a widespread and severe foodborne parasitic disease. Trichinella spiralis resides primarily in mammalian skeletal muscle cells. After invading the cells of the host organism, T. spiralis must elude or invalidate the host’s innate and adaptive immune responses to survive. It is necessary to characterize the pathogenesis of trichinellosis to help to prevent the occurrence and further progression of this disease. The aims of this study were to elucidate the mechanisms of nurse cell formation, pathogenesis and immune evasion of T. spiralis, to provide valuable information for further research investigating the basic cell biology of Trichinella-infected muscle cells and the interaction between T. spiralis and its host. Methods We performed transcriptome profiling by RNA sequencing to identify global changes at 1, 3, 7, 10 and 15 days post-infection (dpi) in gene expression in the diaphragm after the parasite entered and persisted within the murine myocytes; the mice were infected by intravenous injection of newborn larvae. Gene expression analysis was based on the alignment results. Differentially expressed genes (DEGs) were identified based on their expression levels in various samples, and functional annotation and enrichment analysis were performed. Results The most extensive and dynamic gene expression responses in host diaphragms were observed during early infection (1 dpi). The number of DEGs and genes annotated in the Kyoto Encyclopedia of Genes and Genomes and Gene Ontology databases decreased significantly in the infected mice compared to the uninfected mice at 3 and 7 dpi, suddenly increased sharply at 10 dpi, and then decreased to a lower level at 15 dpi, similar to that observed at 3 and 7 dpi. The massive initial reaction of the murine muscle cells to Trichinella infection steadied in the later stages of infection, with little additional changes detected for the remaining duration of the studied process. Although there were hundreds of DEGs at each time point, only 11 genes were consistently up- or downregulated at all 5 time points. Conclusions The gene expression patterns identified in this study can be employed to characterize the coordinated response of T. spiralis-infected myocytes in a time-resolved manner. This comprehensive dataset presents a distinct and sensitive picture of the interaction between host and parasite during intracellular infection, which can help to elucidate how pathogens evade host defenses and coordinate the biological functions of host cells to survive in the mammalian environment.

scholarly journals Identification and Roles of miR-29b-1-3p and miR29a-3p-Regulated and Non-Regulated lncRNAs in Endocrine-Sensitive and Resistant Breast Cancer Cells

Cancers ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 3530
Author(s):  
Penn Muluhngwi ◽  
Carolyn M. Klinge
Keyword(s):  
Breast Cancer ◽  
Cancer Survival ◽  
Expression Patterns ◽  
Endocrine Resistance ◽  
Estrogen Receptor Α ◽  
Resistant Cell ◽  
Differentially Expressed ◽  
Primary Tumors ◽  
Non Coding Rnas ◽  
Mcf 7

Despite improvements in the treatment of endocrine-resistant metastatic disease using combination therapies in patients with estrogen receptor α (ERα) primary tumors, the mechanisms underlying endocrine resistance remain to be elucidated. Non-coding RNAs (ncRNAs), including microRNAs (miRNA) and long non-coding RNAs (lncRNA), are targets and regulators of cell signaling pathways and their exosomal transport may contribute to metastasis. Previous studies have shown that a low expression of miR-29a-3p and miR-29b-3p is associated with lower overall breast cancer survival before 150 mos. Transient, modest overexpression of miR-29b1-3p or miR-29a-3p inhibited MCF-7 tamoxifen-sensitive and LCC9 tamoxifen-resistant cell proliferation. Here, we identify miR-29b-1/a-regulated and non-regulated differentially expressed lncRNAs in MCF-7 and LCC9 cells using next-generation RNA seq. More lncRNAs were miR-29b-1/a-regulated in LCC9 cells than in MCF-7 cells, including DANCR, GAS5, DSCAM-AS1, SNHG5, and CRND. We examined the roles of miR-29-regulated and differentially expressed lncRNAs in endocrine-resistant breast cancer, including putative and proven targets and expression patterns in survival analysis using the KM Plotter and TCGA databases. This study provides new insights into lncRNAs in endocrine-resistant breast cancer.

scholarly journals A Senescence-Like Cellular Response Inhibits Bovine Ephemeral Fever Virus Proliferation

Vaccines ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 601
Author(s):  
Yu-Jing Zeng ◽  
Min-Kung Hsu ◽  
Chiao-An Tsai ◽  
Chun-Yen Chu ◽  
Hsing-Chieh Wu ◽  
...  
Keyword(s):  
Virus Infection ◽  
Cellular Response ◽  
Cell Clone ◽  
Fever Virus ◽  
Gene Set Enrichment Analysis ◽  
Host Cells ◽  
Scale Production ◽  
Bovine Ephemeral Fever Virus ◽  
Virus Growth ◽  
Bovine Ephemeral Fever

During industrial-scale production of viruses for vaccine manufacturing, anti-viral response of host cells can dampen maximal viral antigen yield. In addition to interferon responses, many other cellular responses, such as the AMPK signaling pathway or senescence-like response may inhibit or slow down virus amplification in the cell culture system. In this study, we first performed a Gene Set Enrichment Analysis of the whole-genome mRNA transcriptome and found a senescence-like cellular response in BHK-21 cells when infected with bovine ephemeral fever virus (BEFV). To demonstrate that this senescence-like state may reduce virus growth, BHK-21 subclones showing varying degrees of a senescence-like state were infected with BEFV. The results showed that the BHK-21 subclones showing high senescence staining could inhibit BEFV replication while low senescence-staining subclones are permissive to virus replication. Using a different approach, a senescence-like state was induced in BHK-21 using a small molecule, camptothecin (CPT), and BEFV susceptibility were examined. The results showed that CPT-treated BHK-21 is more resistant to virus infection. Overall, these results indicate that a senescence-like response may be at play in BHK-21 upon virus infection. Furthermore, cell clone selection and modulating treatments using small molecules may be tools in countering anti-viral responses.

Sign in / Sign up

Export Citation Format

Share Document