Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Differential Peptide Subtraction (DPS): mass spectrometry for human cancer virus discovery

ABSTRACT: The challenge of discovering a completely new human tumor virus of unknown phylogeny or sequence depends on detecting viral molecules and differentiating them from host-derived molecules in the virus-associated neoplasm. We developed differential peptide subtraction (DPS) using differential mass-spectrometry (dMS) followed by targeted analysis to facilitate this discovery. To trace the non-human dMS identified peptides back to its genetic origin by next generation sequencing (NGS) cDNA libraries were generated using degenerate oligos corresponding to the identified peptides. In a pilot study DPS identified both viral and human biomarkers. Based on the identified peptides that are differentially expressed in the virus positive tumor sample, degenerate oligos were designed. Degenerate oligos or LNA modified degenerate oligos or a modified oligo(dT) SMART primer were used to facilitate reverse transcription from viral or viral and host RNA. NGS analysis revealed seven times more MCV reads in degenerate oligo primed RNAseq samples compared to polyA-based sequencing reads.

ORGANISM(S): Homo sapiens

PROVIDER: GSE157610 | GEO | 2020/10/20

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

IAH/VLA VA1 Virus Detection Array Dataset

Project description:Data from the IAH/VLA diagnostic pathogen/virus detection microarray. The array platform for this data is GEO accession GPL5725 (provisional), and consists of 5824 oligos representing over 100 viral families, species and subtypes. The data set itself consists of 12 arrays, 4 hybridised with RNA from cell cultured foot-and-mouth disease virus (FMDV) type O, 3 hybridised with RNA from FMDV type A, 1 hybridised with RNA from a sheep infected with FMDV type O, and 4 hybridised with cell-cultured Avian Infectious Bronchitis virus (IBV). Keywords: Virus Detection Microarray

2007-08-14 | GSE8746 | GEO

Rice Transcriptome - Slide A; Slide B

Project description:[Oryza sativa Genome Oligo Set Version 1.0 was designed by Beijing Genomics Institute (BGI) and contain 60,727 70mer oligos representing both indica and japonica genomes. All oligos were designed from cDNAs, expreseed sequence tag (EST) sequences, predicted genes of BGI rice genome build and other public resources. Mapping to TIGR rice genome pseudommolecues release 2 is based on the BLAST results, if a oligo has greater than 97% identity to a gene sequence from TIGR pseudomolecules, the oligo represents that gene. Rice 30K Operon Version 1.0 -70 mer oligos. The array is in 48 pin conformation. It has 25 columns and 25 rows in each of 4 x 12 subarrays. This is the slideA of the two slide sets. Platform_catalog_number: XDEN-A Platform_coating: poly L lysine Platform_manufacture_protocol: Omnigrid 100 contact printer; TeleChem Stealth SMP3 split pins; See http://keck.med.yale.edu/dnaarrays/printing Platform_manufacturer: Keck Biotechnology Resource Lab at Yale Platform_support: glass slide Platform_technology: spotted oligonucleotide ] Series_sample_order: Sample 1-15 Slide A; Sample 16-30 Slide B Keywords: other

2005-05-24 | GSE2691 | GEO

Inter and intra-lineage genetic diversity of Zika virus differs for American isolates

Project description:Zika virus (ZIKV) is a mosquito-transmitted positive-sense RNA virus in the family Flaviviridae. ZIKV infections are associated with neurodevelopmental deficiencies termed Congenital Zika Syndrome. ZIKV strains are grouped into three phylogenetic lineages: East African, West African, and Asian, which contains the American lineage. RNA virus genomes exist as genetically-related sequences. The heterogeneity of these viral populations is implicated in viral fitness, and genome diversity is correlated to virulence. This study examines genetic diversity of representative ZIKV strains from all lineages utilizing next generation sequencing (NGS). Inter-lineage diversity results indicate that ZIKV lineages differ broadly from each other; however, intra-lineage comparisons of American ZIKV strains isolated from human serum or placenta show differences in diversity when compared to ZIKVs from Asia and West Africa. This study describes the first comprehensive NGS analysis of all ZIKV lineages and posits that sub-consensus-level diversity may provide a framework for understanding ZIKV fitness during infection.

2018-12-31 | E-MTAB-5945 | biostudies-arrayexpress

Optimized design of antisense oligomers for targeted rRNA depletion

Project description:RNA sequencing (RNA-seq) has become a standard method for quantifying gene expression transcriptome-wide. Due to the extremely high proportion of ribosomal RNA (rRNA) in total RNA, sequencing libraries usually incorporate messenger RNA (mRNA) enrichment. Although polyadenylate (poly(A)) tail selection is widely used, many applications require alternate approaches such as rRNA depletion. Recently, selective rRNA digestion, using RNaseH and antisense DNA oligomers that tile the length of target RNAs, has emerged as an easy, cost-effective alternative to commercial rRNA depletion kits. Here, we present a streamlined RNaseH-mediated rRNA depletion method that uses shorter antisense oligos that only sparsely tile the target RNA, in a digestion reaction of only 5 minutes. We wrote a Web tool, Oligo-ASST, that simplifies oligo design to favor target regions with optimal thermodynamic properties, and additionally allows users to design common oligo pools that can simultaneously target divergent RNAs in their regions of higher sequence similarity. We demonstrate the efficacy of these oligos by building rRNA-depleted sequencing libraries for Xenopus laevis as well as zebrafish, which expresses two distinct versions of the 28S, 18S, 5.8S, and 5S rRNAs during embryogenesis. These libraries efficiently deplete rRNA to <5% of total reads, on par with poly(A) selection, and also reveal expression of many non-adenylated RNA species. Oligo-ASST is freely available at https://mtleelab.pitt.edu/oligo to design antisense oligos for any taxon or to target any abundant RNA for depletion.

2020-06-28 | GSE152902 | GEO

Targeted NGS on artificial microRNAs expressed by a pool of heterogeneous Sindbis viruses

Project description:Purpose: Next-generation sequencing (NGS) on targeted locus in Sindbis genome to determine frequency changes of artificial microRNAs expressed by viruses after passaging in cancer and normal cells Methods: RNA was harvested in Trizol 488 (Thermo Fisher). RNA was extracted using the manufacturer’s protocol and quantified by nanodrop. Sequencing was done by SeqMatic on a MiSeq v3 platform generating 75bp reads. Adapters were trimmed using Trimmomatic and adapter-free reads represent artificial microRNAs encoded by Sindbis virus in a sample. Results: We have identified changes in artificial microRNA frequency after passaging virus pool in cancer and normal cells and have identified microRNAs increasing viral fitness in cancer cells. Conclusions: Our study represents artificial microRNAs which target pathways that can aid oncolytic viral replication in cancer cells.

2022-03-02 | GSE197271 | GEO

SARS-CoV-2 escapes CD8 T cell surveillance via mutations in MHC-I restricted epitopes [10x]

Project description:CD8+ T cell immunity to SARS-CoV-2 has been implicated in COVID-19 severity and virus control. Here, we identified non-synonymous mutations in MHC-I restricted CD8+ T cell epitopes after deep sequencing of 747 SARS-CoV-2 virus isolates. Mutant peptides exhibited diminished or abrogated MHC-I binding, which was associated with a loss of recognition and functional responses by CD8+ T cells isolated from HLA-matched COVID-19 patients. Our findings highlight the capacity of SARS-CoV-2 to subvert CD8+ T cell surveillance through sporadically emerging escape mutations in MHC- I restricted viral epitopes.

2021-03-03 | GSE166651 | GEO

Proteomic analysis of SARS-CoV-2: A clinical landscape of COVID-19 proteome and host responses

Project description:A novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of COVID-19 and continues to be a global health challenge. To understand viral disease biology, we have carried out proteo-genomic analysis using next generation sequencing (NGS) and mass-spectrometry on nasopharyngeal swabs of COVID-19 patients to examine clinical genome and proteome. Our proteomic analysis, for the first time identified 13 different SARS-CoV-2 proteins from the clinical swabs. Additionally, host proteome analysis revealed several key host proteins to be uniquely expressed in COVID-19 patients. Besides revealing aspects of host-virus pathogenesis, our study opens avenues to develop better diagnostic markers and therapeutic strategies.

2021-06-28 | PXD021896 | Pride

exoRNA-mediated Cell-to-cell Communications in E. coli are Supported by Dps Mobility

Project description:Being a ferroxidase and a structural factor of the Escherichia coli nucleoid, Dps protein was recently encountered in the outer membrane and attracted attention as a potential partner for bacterial RNAs. Here, we show the first images visualizing Dps on the surface of bacteria and demonstrate that Dps produced by E. coli K-12 MG1655 or BL21(DE3) cells can cross bacteria-impermeable membrane and attach to the cell surface of a dps-null mutant. Using RNAseq and pull-down assays, we identified RNAs with specifically reduced secretion in the mutant and witnessed preferential interaction of Dps with tRNA and sRNA fragments. Upon analysis of their deviations from the genomic sequences, we selected one circular and six linear oligonucleotides with different folding as model RNAs and showed their ability to affect the growth of bacteria via Dps-dependent internalization by cells. This assumes Dps involvement in intercellular signal transduction within a bacterial population through participation in RNA secretion

2023-08-30 | GSE221667 | GEO

SARS-CoV-2 escapes CD8 T cell surveillance via mutations in MHC-I restricted epitopes [10x]

| EGAS00001005060 | EGA

Detection of RNA–DNA binding sites in long noncoding RNAs

Project description:Triple helix is a potential mechanism how lncRNAs interact with the genome. Our in silico method (Triplex Domain Finder) is able to predict the binding sites of lncRNA MEG3 and GATA6-AS in the genome. In order to validate these predictions, we develop DBD-Capture-Seq to capture the DNA loci where the given RNA oligo binds to via triplex. Method: Different RNA oligos are used The biotinylated RNA oligos (MEG3 TFR1, MEG3 TFR2, and GATA6-AS TFR1) were incubated with sheared genomic DNA to allow for triplex formation. After binding to streptavidin-coated beads, RNA-associated DNA was eluted and subjected to deep sequencing. Control experiments were conducted in the absence of biotinylated RNA oligos.

2019-01-15 | GSE119638 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data