Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

DNA microarray for STD pathogen detection

ABSTRACT: This work describes the development of the first microarray detection system that simultaneously identifies common pathogens associated with STDs from clinical samples, and paves the way for establishing a time-saving, accurate and high-throughput diagnostic tool.

ORGANISM(S): human papillomavirus 31 Alphapapillomavirus 13 Metamycoplasma hominis Mycoplasmoides genitalium human papillomavirus 58 human papillomavirus 39 human papillomavirus 11 human papillomavirus 33 human papillomavirus 35 Human alphaherpesvirus 2 Neisseria gonorrhoeae Human papillomavirus Chlamydia trachomatis Human alphaherpesvirus 1 human papillomavirus 18 Human papillomavirus type 6 Human papillomavirus 16 Ureaplasma

PROVIDER: GSE69508 | GEO | 2015/12/31

SECONDARY ACCESSION(S): PRJNA285757

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

DNA microarray for STD pathogen detection

Project description:This work describes the development of the first microarray detection system that simultaneously identifies common pathogens associated with STDs from clinical samples, and paves the way for establishing a time-saving, accurate and high-throughput diagnostic tool. The target genes are 16S rRNA gene for N. gonorrhoeae, M. genitalium, M. hominism, and Ureaplasma, the major outer membrane protein gene (ompA) for C. trachomatis, the glycoprotein B gene (gB) for HSV; and the L1 gene for HPV. 34 probes that reproducibly detected multiple Legionella species with high specificity were included in the array.

2015-12-31 | E-GEOD-69508 | biostudies-arrayexpress

DNA microarray for STD pathogen detection

Project description:DNA microarray for STD pathogen detection

| PRJNA285757 | ENA

Antibody detection of translocations (ADOT) in Ewing Sarcoma

2012-01-31 | GSE35450 | GEO

Metagenomic next-generation sequencing applied in pathogen detection

Project description:Metagenomic next-generation sequencing (mNGS) is increasingly being applied in clinical laboratories for unbiased culture-independent diagnosis. We use the mNGS as a routine diagnostic test in clinical.

| PRJEB48135 | ENA

A serum exosomal microRNA-based artificial intelligence diagnostic model for highly accurate detection of hepatocellular carcinoma

Project description:A serum exosomal microRNA-based artificial intelligence diagnostic model for highly accurate detection of hepatocellular carcinoma

| PRJNA1269986 | ENA

Antibody detection of translocations (ADOT) in Ewing Sarcoma

Project description:We developed a new approach called antibody detection of translocations (ADOT) which combines a transcriptional microarray-based approach with a novel antibody-based detection method to detect translocations in cancer. ADOT allows for the accurate and sensitive identification of translocations and provides exon-level information about the fusion transcript. ADOT can detect translocations in poor quality unprocessed total RNA. We demonstrate the feasibility of ADOT by examples in which both known and unknown Ewing sarcoma translocations are identified from cell lines, tumor xenografts, and FFPE primary tumors. These results demonstrate that ADOT may be an effective approach for translocation analysis in clinical specimens with significant RNA degradation and may offer a novel diagnostic tool for translocation-based cancers. We designed oligonucleotide probes for each possible exon-exon combination between potential fusion partners and printed the DNA oligonucleotides on custom-designed microarrays. Total RNA from tumor cells or tissues was hybridized on the array. Bound RNA was detected with the S9.6 monoclonal antibody that recognizes RNA-DNA duplexes in a sequence-independent fashion,and detected with Cy3-labeled anti-mouse IgG.

2012-01-31 | E-GEOD-35450 | biostudies-arrayexpress

miRNA profiling of Macaca nemestrina plasma samples: before SIV infection and during acute infection

Project description:This study describes a circulating miRNA signature of acute retroviral infection, which may include candidate diagnostic or prognostic miRNAs for lentivirus-associated neurologic conditions.

2011-09-15 | GSE26057 | GEO

MIPP-Seq: Ultra-sensitive rapid detection and validation of low-frequency mosaic mutations

Project description:MIPP-Seq provides an ultra-sensitive, low-cost approach for detecting and validating known and novel mutations in a highly scalable system with broad utility spanning both research and clinical diagnostic testing applications. The scalability of MIPP-Seq allows for multiplexing mutations and samples, which dramatically reduce costs of variant validation when compared to methods like ddPCR. By leveraging the power of individual analyses of multiple unique and independent reactions, MIPP-Seq can validate and precisely quantitate extremely low AAFs across multiple tissues and mutational categories including both indels and SNVs. Furthermore, using Illumina sequencing technology, MIPP-seq provides a robust method for accurate detection of novel mutations at an extremely low AAF.

2021-01-30 | GSE165780 | GEO