scholarly journals SEAweb: the small RNA Expression Atlas web application

2019 ◽  
Vol 48 (D1) ◽  
pp. D204-D219
Author(s):  
Raza-Ur Rahman ◽  
Anna-Maria Liebhoff ◽  
Vikas Bansal ◽  
Maksims Fiosins ◽  
Ashish Rajput ◽  
...  
Keyword(s):  
Small Rna ◽  
Web Application ◽  
Viral Infections ◽  
Expression Patterns ◽  
Diagnostic Value ◽  
User Model ◽  
Rna Expression ◽  
Search Terms ◽  
Expression Atlas ◽  
Biomarker Signature

Abstract We present the Small RNA Expression Atlas (SEAweb), a web application that allows for the interactive querying, visualization and analysis of known and novel small RNAs across 10 organisms. It contains sRNA and pathogen expression information for over 4200 published samples with standardized search terms and ontologies. In addition, SEAweb allows for the interactive visualization and re-analysis of 879 differential expression and 514 classification comparisons. SEAweb's user model enables sRNA researchers to compare and re-analyze user-specific and published datasets, highlighting common and distinct sRNA expression patterns. We provide evidence for SEAweb's fidelity by (i) generating a set of 591 tissue specific miRNAs across 29 tissues, (ii) finding known and novel bacterial and viral infections across diseases and (iii) determining a Parkinson's disease-specific blood biomarker signature using novel data. We believe that SEAweb's simple semantic search interface, the flexible interactive reports and the user model with rich analysis capabilities will enable researchers to better understand the potential function and diagnostic value of sRNAs or pathogens across tissues, diseases and organisms.

scholarly journals SEA: The small RNA Expression Atlas

2017 ◽  
Author(s):  
Raza-Ur Rahman ◽  
Vikas Bansal ◽  
Maksims Fiosins ◽  
Anna-Maria Liebhoff ◽  
Ashish Rajput ◽  
...  
Keyword(s):  
Small Rna ◽  
Web Application ◽  
Viral Infections ◽  
Expression Patterns ◽  
Diagnostic Value ◽  
User Model ◽  
Rna Expression ◽  
Search Terms ◽  
Expression Atlas ◽  
Biomarker Signature

AbstractWe present the Small RNA Expression Atlas (SEA), a web application that allows for the interactive querying, visualization, and analysis of known and novel small RNAs across ten organisms. It contains sRNA and pathogen expression information for over 4,200 published samples with standardized search terms and ontologies. In addition, SEA allows for the interactive visualization and re-analysis of 879 differential expression and 514 classification comparisons. SEA’s user model enables sRNA researchers to compare and re-analyze user-specific and published datasets, highlighting common and distinct sRNA expression patterns.We provide evidence for SEA’s fidelity by (i) generating a set of 591 tissue specific miRNAs across 30 tissues, (ii) finding known and novel bacterial and viral infections across diseases, and (iii) determining a Parkinson’s disease-specific blood biomarker signature using novel data.We believe that SEA’s simple semantic search interface, the flexible interactive reports, and the user model with rich analysis capabilities will enable researchers to better understand the potential function and diagnostic value of sRNAs or pathogens across tissues, diseases, and organisms.Availability and ImplementationSEA is implemented in Java, J2EE, spring, Django, html5, css3, JavaScript, Bootstrap, Vue.js, D3, mongodb and neo4j. It is freely available at http://sea.ims.bio/.

scholarly journals Innate Immunity in Children and the Role of ACE2 Expression in SARS-CoV-2 Infection

2021 ◽  
Vol 13 (3) ◽  
pp. 363-382
Author(s):  
Mario Dioguardi ◽  
Angela Pia Cazzolla ◽  
Claudia Arena ◽  
Diego Sovereto ◽  
Giorgia Apollonia Caloro ◽  
...  
Keyword(s):  
Innate Immunity ◽  
Viral Infections ◽  
Respiratory Infections ◽  
Viral Disease ◽  
Receptor Expression ◽  
Virus Infections ◽  
Search Terms ◽  
Bibliographic Search ◽  
Meta Analyses

COVID-19 (Coronavirus Disease 2019) is an emerging viral disease caused by the coronavirus SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2), which leads to severe respiratory infections in humans. The first reports came in December 2019 from the city of Wuhan in the province of Hubei in China. It was immediately clear that children developed a milder disease than adults. The reasons for the milder course of the disease were attributed to several factors: innate immunity, difference in ACE2 (angiotensin-converting enzyme II) receptor expression, and previous infections with other common coronaviruses (CovH). This literature review aims to summarize aspects of innate immunity by focusing on the role of ACE2 expression and viral infections in children in modulating the antibody response to SARS-CoV-2 infection. This review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Articles deemed potentially eligible were considered, including those dealing with COVID-19 in children and providing more up-to-date and significant data in terms of epidemiology, prognosis, course, and symptoms, focusing on the etiopathogenesis of SARS-CoV-2 disease in children. The bibliographic search was conducted using the search engines PubMed and Scopus. The following search terms were entered in PubMed and Scopus: COVID-19 AND ACE2 AND Children; COVID-19 AND Immunity innate AND children. The search identified 857 records, and 18 studies were applicable based on inclusion and exclusion criteria that addressed the issues of COVID-19 concerning the role of ACE2 expression in children. The scientific literature agrees that children develop milder COVID-19 disease than adults. Milder symptomatology could be attributed to innate immunity or previous CovH virus infections, while it is not yet fully understood how the differential expression of ACE2 in children could contribute to milder disease.

scholarly journals A comprehensive RNA-Seq-based gene expression atlas of the summer squash (Cucurbita pepo) provides insights into fruit morphology and ripening mechanisms

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Aliki Xanthopoulou ◽  
Javier Montero-Pau ◽  
Belén Picó ◽  
Panagiotis Boumpas ◽  
Eleni Tsaliki ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cucurbita Pepo ◽  
Developmental Stages ◽  
Lateral Roots ◽  
Expression Patterns ◽  
Male Flower ◽  
Differentially Expressed ◽  
Gene Expression Atlas ◽  
Summer Squash ◽  
Expression Atlas

Abstract Background Summer squash (Cucurbita pepo: Cucurbitaceae) are a popular horticultural crop for which there is insufficient genomic and transcriptomic information. Gene expression atlases are crucial for the identification of genes expressed in different tissues at various plant developmental stages. Here, we present the first comprehensive gene expression atlas for a summer squash cultivar, including transcripts obtained from seeds, shoots, leaf stem, young and developed leaves, male and female flowers, fruits of seven developmental stages, as well as primary and lateral roots. Results In total, 27,868 genes and 2352 novel transcripts were annotated from these 16 tissues, with over 18,000 genes common to all tissue groups. Of these, 3812 were identified as housekeeping genes, half of which assigned to known gene ontologies. Flowers, seeds, and young fruits had the largest number of specific genes, whilst intermediate-age fruits the fewest. There also were genes that were differentially expressed in the various tissues, the male flower being the tissue with the most differentially expressed genes in pair-wise comparisons with the remaining tissues, and the leaf stem the least. The largest expression change during fruit development was early on, from female flower to fruit two days after pollination. A weighted correlation network analysis performed on the global gene expression dataset assigned 25,413 genes to 24 coexpression groups, and some of these groups exhibited strong tissue specificity. Conclusions These findings enrich our understanding about the transcriptomic events associated with summer squash development and ripening. This comprehensive gene expression atlas is expected not only to provide a global view of gene expression patterns in all major tissues in C. pepo but to also serve as a valuable resource for functional genomics and gene discovery in Cucurbitaceae.

scholarly journals Genetic and epigenetic concept of SARS-CoV-2 targets in different renal cancer subtypes

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Dilara Fatma Akin-Bali ◽  
Rahşan Ilikci Sagkan
Keyword(s):  
Renal Cancer ◽  
Promoter Methylation ◽  
Target Genes ◽  
Expression Patterns ◽  
Rna Expression ◽  
Total Rate ◽  
Cancer Subtypes ◽  
Genetic Landscape ◽  
Healthy Control ◽  
Genetic Anomaly

AbstractObjectivesRecent advances in defining the genetic landscape of has shown the host cell- SARS-CoV-2 interaction via ACE2 protein and the presence of at least three additional virus invasion genes including TMPRSS2, FURIN, CD147/BSG. In current study, we investigated the mutation and m-RNA expression patterns of target genes by evaluating the associations between genetic and epigenetic mechanisms in the target genes and susceptibility of SARS-CoV-2 infection of renal cancer subtypes.MethodsWe investigated the mutation and m-RNA expression patterns of our target genes. The promoter methylation profiles of target genes were tested in the UALCAN database.ResultsThe total rate of carrying genetic anomaly in the target genes including was 1.6% and seven mutations, one of which had a pathogenic feature, were detected. The expression analysis results in renal cancer groups showed that while the KIRC and KIRP patients had a lower level of TMPRSS2 than the healthy control, their ACE2 level was high. KICH patients had a higher level of CD147/BSG expression than the healthy group. The promoter methylation levels of ACE2 in KIRC and KIRP were reduced.ConclusionsWe concluded that renal cancer patients may be more sensitive to SARS-CoV-2 infection, which may worsen the prognosis.

scholarly journals xMD-miRNA-seq to generate near in vivo miRNA expression estimates in colon epithelial cells

2018 ◽  
Author(s):  
Avi Z. Rosenberg ◽  
Carrie Wright ◽  
Karen Fox-Talbot ◽  
Anandita Rajpurohit ◽  
Courtney Williams ◽  
...  
Keyword(s):  
Epithelial Cells ◽  
Small Rna ◽  
Mirna Expression ◽  
Low Cost ◽  
Expression Patterns ◽  
Small Rna Sequencing ◽  
Rna Seq ◽  
Cell Type

AbstractAccurate, RNA-seq based, microRNA (miRNA) expression estimates from primary cells have recently been described. However, this in vitro data is mainly obtained from cell culture, which is known to alter cell maturity/differentiation status, significantly changing miRNA levels. What is needed is a robust method to obtain in vivo miRNA expression values directly from cells. We introduce expression microdissection miRNA small RNA sequencing (xMD-miRNA-seq), a method to isolate cells directly from formalin fixed paraffin-embedded (FFPE) tissues. xMD-miRNA-seq is a low-cost, high-throughput, immunohistochemistry-based method to capture any cell type of interest. As a proof-of-concept, we isolated colon epithelial cells from two specimens and performed low-input small RNA-seq. We generated up to 600,000 miRNA reads from the samples. Isolated epithelial cells, had abundant epithelial-enriched miRNA expression (miR-192; miR-194; miR-200b; miR-200c; miR-215; miR-375) and overall similar miRNA expression patterns to other epithelial cell populations (colonic enteroids and flow-isolated colon epithelium). xMD-derived epithelial cells were generally not contaminated by other adjacent cells of the colon as noted by t-SNE analysis. xMD-miRNA-seq allows for simple, economical, and efficient identification of cell-specific miRNA expression estimates. Further development will enhance rapid identification of cell-specific miRNA expression estimates in health and disease for nearly any cell type using archival FFPE material.

scholarly journals Genome-wide characterization of DNA methylation, small RNA expression, and histone H3 lysine nine di-methylation in Brassica rapa L.

DNA Research ◽  
2018 ◽  
Vol 25 (5) ◽  
pp. 511-520 ◽  
Author(s):  
Satoshi Takahashi ◽  
Kenji Osabe ◽  
Naoki Fukushima ◽  
Shohei Takuno ◽  
Naomi Miyaji ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Brassica Rapa ◽  
Small Rna ◽  
Histone H3 ◽  
Rna Expression ◽  
Genome Wide

Efflux pump gene expression study using RNA-seq in multidrug-resistant TB

2021 ◽  
Vol 25 (12) ◽  
pp. 974-981
Author(s):  
J. J. Lee ◽  
H. Y. Kang ◽  
W-I. Lee ◽  
S. Y. Cho ◽  
Y. J. Kim ◽  
...  
Keyword(s):  
Wild Type Strain ◽  
Efflux Pump ◽  
Expression Patterns ◽  
Resistance Mechanism ◽  
Multidrug Resistant ◽  
Regulatory Genes ◽  
Control Group ◽  
Rna Expression ◽  
Rna Seq ◽  
Expression Study

BACKGROUND: The mechanism underlying kanamycin (KM) resistance in Mycobacterium tuberculosis is not well understood, although efflux pump proteins are thought to play a role. This study used RNA-seq data to investigate changes in the expression levels of efflux pump genes following exposure to KM.METHODS: RNA expression of efflux pump and regulatory genes following exposure to different concentrations of KM (minimum inhibitory concentration MIC 25 and MIC50) in rrs wild-type strain and rrs A1401G mutated strain were compared with the control group.RESULTS: The selected strains had differential RNA expression patterns. Among the 71 putative efflux pump and regulatory genes, 46 had significant fold changes, and 12 genes (Rv0842, Rv1146, Rv1258c, Rv1473, Rv1686c, Rv1687c, Rv1877, Rv2038c, Rv3065, Rv3197a, Rv3728 and Rv3789) that were overexpressed following exposure to KM were thought to contribute to drug resistance. Rv3197A (whiB7) showed a distinct fold change based on the concentration of KM.CONCLUSION: The significant changes in the expression of the efflux pump and regulatory genes following exposure to KM may provide insights into the identification of a new resistance mechanism.

Small RNA and transcriptome sequencing of a symptomatic peony plant reveals mixed infections with novel viruses

Plant Disease ◽  
2021 ◽  
Author(s):  
Anning Jia ◽  
Chenge Yan ◽  
Hang Yin ◽  
Rui Sun ◽  
Fei Xia ◽  
...  
Keyword(s):  
Phylogenetic Analysis ◽  
Small Rna ◽  
High Throughput Sequencing ◽  
Viral Infections ◽  
Triple Gene Block ◽  
Field Investigation ◽  
Mixed Infections ◽  
Species Classification ◽  
Gene Block ◽  
Sequence Identity

To identify the viruses in tree peony plants associated with the symptoms of yellowing, leaf rolling, stunted growth, and decline, high-throughput sequencing of small RNA and mRNA was conducted from a single symptomatic plant. Bioinformatic analyses and reconstruction of viral genomes indicated mixed viral infections involving cycas necrotic stunt virus (CNSV), apple stem grooving virus (ASGV), lychnis mottle virus (LycMoV), grapevine line pattern virus (GLPV), and three new viruses designated as peony yellowing-associated citrivirus (PYaCV, Citrivirus in Betaflexiviridae), peony betaflexivirus 1 (PeV1, unclassified in Betaflexiviridae), and peony leafroll-associated virus (PLRaV, Ampelovirus in Closteroviridae). PYaCV was 8,666 nucleaotides (nt) in length, comprising three open reading frames (ORFs) and shared 63.8–75.9% nucleotide sequence identity with citrus leaf blotch virus (CLBV) isolates. However, the ORF encoding the replication-associated protein (REP) shared 57% and 52% sequence identities at the nt and amino acid (aa) level, respectively, with other reported CLBV isolates, which were below the criterion for species classification within the family Betaflexiviridae. Recombination analysis identified putative recombination sites in PYaCV, which originated from CLBV. PeV1, only identified from the transcriptome data, was 8,124 nt in length with five ORFs encoding the REP (ORF1), triple gene block (TGB, ORF2–4) and coat protein (CP, ORF5) proteins. Phylogenetic analysis and sequence comparison showed that PeV1 clustered with an unassigned member, the garlic yellow mosaic-associated virus (GYMaV) within the Betaflexiviridae family, into a separate clade. Partial genome sequence analysis of PLRaV (12,545 nt) showed it contained seven ORFs encoding the partial polyprotein 1a, the RNA-dependent RNA polymerase (RdRp), two small hydrophobic proteins p11 and p6, HSP70h, p55, and a CP duplicate, which shared low aa sequence identity with Closteroviridae family members. Phylogenetic analysis based on the aa sequences of RdRp or HSP70h indicated that PLRaV clustered with grapevine leafroll-associated virus 1 (GLRaV-1) and GLRaV-13 in the Ampelovirus genus. Field investigation confirmed the wide distribution of these viruses, causing mixed infections of peony plants in Beijing.

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