Existing blood transcriptional classifiers accurately discriminate active tuberculosis from latent infection in a South Indian cohort
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE101705 | GEO | 2018/01/24
REPOSITORIES: GEO
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Project description:To predict differentially expressed miRNAs between monosomy 3 and disomy 3, and to associate these miRNAs with the clinico-pathological parameters in South Asian Indian population with uveal melanoma (UM). The study consists of six uveal melanoma primary tumour tissues of South Asian-Indian population. These six tumours have been screened for chromosome 3 aberration using Chromogenic in-situ hybridisation (CISH). Thus, sample under the study includes, three each of monosomy 3 and disomy 3. The miRNA profiling was carried out from the tumor sections of formalin-fixed paraffin embedded eyeball samples. miRNA expression profile was obtained in monosomy 3 and disomy 3 samples, analysed by unsupervised analysis (Principal Component Analysis) and supervised analysis (Significance analysis of microarray). The select up-regulated and candidate miRNAs associated with monosomy 3 uveal melanoma tumors were validated further with qRT-PCR (n=86). Thus, this study indicates the role of miRNAs in UM tumor progression and their implication in predetermining the liver metastasis. The study consists of six uveal melanoma primary tumour tissues of South Asian-Indian population. These six tumours have been screened for chromosome 3 abberation using chromogenic in-situ hybridisation (CISH). Thus, samples under the study includes three each of monosomy 3 and disomy 3. The miRNA profiling were carried out from the tumor sections of formalin-fixed paraffin embedded eyeball samples. The up-regulated miRNAs associated with monosomy 3 uveal melanoma tumors were short listed and the candidate miRNAs were validated further with qRT-PCR. Agilent one-color experiment, Organism: Homo sapiens, Agilent Human miRNA 8x15k Arrays AMADID: 021827 [Agilent miRNA labeling reagent and Hybridization Kit Cat # 5190-0408]
2015-05-14 | E-GEOD-68828 | biostudies-arrayexpress
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Project description:The study aimed to define transcriptional signatures for detection of active TB (TB) compared to latent TB infection (LTBI) as well as to other diseases (OD) with similar clinical phenotypes in patients with and without HIV in two African adult populations. Transcriptional signatures were identified that distinguished active TB from LTBI, active TB from other diseases, and active TB from both LTBI and other diseases in HIV+/- patients. Adults were recruited from Cape Town, South Africa (n=300) and Karonga, Malawi (n=237) who were either HIV+ or HIV - with either active TB, LTBI or OD. Blood was collected into PAX gene tubes (PreAnalytiX). Total RNA integrity was assessed using an Agilent 2100 Bioanalyzer (Agilent, Palo Alto, CA). Labeled cRNA was hybridized to Illumina Human HT-12 Beadchips. Data were analysed in R.
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Project description:The study aimed to define transcriptional signatures for detection of active TB (TB) compared to latent TB infection (LTBI) as well as to other diseases (OD) with similar clinical phenotypes in patients with and without HIV in two African paediatric populations. Transcriptional signatures were identified that distinguished active TB from LTBI, and active TB from other diseases.
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Project description:We performed RNA-seq analysis on exosomes derived from the clinical specimens of healthy control (HC), active tuberculosis (ATB) and latent tuberculosis infection (LTBI) individuals. Our results revealed the distinguished gene expression panels and patterns of the exosomes for the LTBI and ATB patients: We identified many up-regulated and down-regulated differentially expressed genes (DEGs) in the LTBI and ATB samples, and further screened the top-20 DEGs, which might provide a clue to differentiate HC, LTBI and ATB; We classified all the DEGs into six expression patterns, screened the top-20 genes in each pattern, and mainly focused on those highly expressed in LTBI and ATB; A lot of Mtb genes were only expressed and enriched in the exosomes of LTBI patients; Pathway and functional analysis further indicated the gradually increased deteriorated healthy signals in LTBI and ATB samples, including down-regulated signaling pathways/immune response, and up-regulated apoptosis/necrosis. Our findings not only add new data to tuberculosis clinical studies, but also facilitate the development of potential targets for the diagnosis, prevention and treatment of tuberculosis.
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Project description:Latent tuberculosis infection (LTBI) relies on a homeostasis of macrophages and Mycobacterium tuberculosis (Mtb). The small heat shock protein, Mtb Hsp16.3 (also known as latency-associated antigen), plays an important role in Mtb persistence within macrophages. However, the mechanism of LTBI remains elusive. The aim of this study was to delineate LTBI-related miRNA expression in U937 macrophages expressing Mtb Hsp16.3 protein. This study intends to explore the potential function of miRNAs in the interaction of macrophages with Mtb Hsp16.3 and provide insights for investigating the role of macrophage homeostasis in LTBI.
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Project description:India with over 1.3 billion people is estimated to carry three times more genetic diversity compared to Europe. Next-generation sequencing technologies have facilitated the understanding of diversity by enabling whole genome sequencing at greater speed and lower cost. While multiple genomes from people of European and a few of Asian descent have been sequenced, only recently a single male genome from the Indian subcontinent at sufficient depth and coverage was published. We have in this study sequenced and analyzed the genome of a South Asian Indian female (SAIF) from the Indian state of Kerala. We identified over 3.4 million SNPs in this genome including over 89,873 private variations. Comparison of the SAIF genome with several published personal genomes revealed that this individual shared ~50% of the SNPs with each of these genomes. Analysis of the SAIF mitochondrial genome showed that it is closely related to the U1a3 haplogroup which has been previously observed in Kerala. We assessed the SAIF genome for SNPs with health and disease consequences and found that the individual was at a higher risk for multiple sclerosis and a few other diseases. In assessing SNPs that modulate drug response we found a variation that predicts a favorable response to metformin used for treating diabetes. SNPs predictive of adverse reaction to warfarin indicated that the SAIF individual is not at risk for bleeding if treated with typical doses of warfarin. In addition to these, we report the presence of several other SNPs of medical relevance.
| EGAS00001000328 | EGA