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Links from GEO DataSets

Items: 20

1.

A blood RNA signature for tuberculosis disease risk: a prospective cohort study

(Submitter supplied) Identification of blood biomarkers that prospectively predict progression of Mycobacterium tuberculosis infection to tuberculosis disease might lead to interventions that combat the tuberculosis epidemic. We aimed to assess whether global gene expression measured in whole blood of healthy people allowed identification of prospective signatures of risk of active tuberculosis disease. RESULTS:Between July 6, 2005, and April 23, 2007, we enrolled 6363 from the ACS study and 4466 from independent South African and Gambian cohorts. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
355 Samples
Download data: XLSX
2.

Genome-wide transcriptional profiling of HIV positive and negative adults with active tuberculosis, latent TB infection and other diseases

(Submitter supplied) 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.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
537 Samples
Download data: TXT
Series
Accession:
GSE37250
ID:
200037250
3.

A blood RNA signature for tuberculosis disease risk in household contact study - GC6 cohort.

(Submitter supplied) Identification of blood biomarkers that prospectively predict progression of Mycobacterium tuberculosis infection to tuberculosis disease might lead to interventions that combat the tuberculosis epidemic in the context of house hold contacts.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
434 Samples
Download data: CSV, TXT
4.

Blood RNA signature RISK4LEP predicts leprosy years before clinical onset

(Submitter supplied) Exploratory RNA expression analysis during development of leprosy allows identification of RISK4LEP, a 4-gene blood RNA signature predicting leprosy years before clinical onset.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24676
120 Samples
Download data: CSV, TSV
5.

Diagnostic performance of transcriptomic signatures for the evaluation of suspected tuberculosis in routine clinical practice

(Submitter supplied) Background: Blood transcriptomic signatures for diagnosis of tuberculosis (TB) have shown promise in case-control studies but their diagnostic accuracy has not been prospectively validated in adults presenting with the full clinical spectrum of suspected TB, including extra-pulmonary TB, and its associated differential diagnoses with concomitant latent TB infection. Methods: Our study was nested within a prospective multi-center cohort study in secondary care in England. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
628 Samples
Download data: TXT
Series
Accession:
GSE144127
ID:
200144127
6.

Gene expression profiling identifies a gene signature that predicts progression to active tuberculosis several years before disease onset

(Submitter supplied) We evaluated the predictive ability of various gene signatures in baseline peripheral blood mononuclear cell samples to distinguish Mtb-infected individuals who eventually progress to TB disease (progressors) or who remain asymptomatic (non-progressors) during clinical follow-up; we also compare long-term Mtb-infected non-progressors from patients with TB disease
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
51 Samples
Download data: CSV
7.

Genome wide transcriptional profiling of HIV positive and negative children with active tuberculosis, latent TB infection and other diseases

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
491 Samples
Download data
Series
Accession:
GSE39941
ID:
200039941
8.

Genome wide transcriptional profiling of HIV positive and negative children with active tuberculosis, latent TB infection and other diseases from South Africa and Malawi

(Submitter supplied) 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.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
334 Samples
Download data: TXT
Series
Accession:
GSE39940
ID:
200039940
9.

Genome wide transcriptional profiling of HIV positive and negative children with active tuberculosis, latent TB infection and other diseases from Kenya

(Submitter supplied) 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 a paediatric cohort from Kenya 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.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
157 Samples
Download data: TXT
Series
Accession:
GSE39939
ID:
200039939
10.

Blood RNA signature predicts recent tuberculosis exposure in mice

(Submitter supplied) Knowing when a person was infected with Mycobacterium tuberculosis (M.tb) is critical as recent infection is the strongest clinical risk factor for progression to TB disease in immunocompetent individuals. However, time since M.tb infection is very difficult to determine in routine clinical practice. We determined whether gene expression patterns in blood RNA correlate with time since M.tb infection or exposure to develop a biomarker for recent exposure. more...
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL6887
26 Samples
Download data: TXT
Series
Accession:
GSE124688
ID:
200124688
11.

Tuberculosis in Malnourished Individuals

(Submitter supplied) Whole blood gene expression profiling from well and malnourished Indian individuals with TB and severely malnourished household contacts with latent TB infection (LTBI). Severe malnutrition was defined as body mass index (BMI) <16. kg/m2 in adults and based on weight-for-height Z scores in children <18 years. Gene expression was measured using RNA-sequencing.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
48 Samples
Download data: TXT
12.

Existing blood transcriptional classifiers accurately discriminate active tuberculosis from latent infection in a South Indian cohort

(Submitter supplied) We report the accuracy of various existing blood transcriptional signatures in distinguishing TB and LTBI individuals in a South Indian cohort
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
44 Samples
Download data: XLSX
13.

Detectable changes in the blood transcriptome are present after two weeks of antituberculosis therapy

(Submitter supplied) Analysis of UK blood transcriptional profiles before treatment to indentify changes that occur during (2 weeks, 2 months), at the end of treatment (6 months) and after treatment (12 months) Analysis of South African blood transcriptional profiles before treatment to indentify changes that occur during (2 weeks, 2 months), at the end of treatment (6 months) and after treatment (12 months)
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
204 Samples
Download data: TXT
Series
Accession:
GSE40553
ID:
200040553
14.

Blood transcriptional biomarkers for active TB among US patients: A case-control study with systematic cross-classifier evaluation.

(Submitter supplied) In a prospective case-control study, we identified novel transcriptional classifiers for TB among US patients and systematically compared their accuracy to other classifiers in published studies.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL11532
109 Samples
Download data: CEL
Series
Accession:
GSE73408
ID:
200073408
15.

DNA methylation analysis of PBMC from HIV and HIV/TB co-infected patients

(Submitter supplied) Genome wide DNA methylation profiling of PBMC from South African patients either infected with HIV only or coinfected with HIV and tuberculosis (TB). The Illumina Infinium 27k Human DNA methylation Beadchip was used to obtain DNA methylation profiles from PBMC samples. Samples included 19 HIV patients and 20 HIV/TB co-infected patients.
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL8490
40 Samples
Download data: TXT
Series
Accession:
GSE50835
ID:
200050835
16.

Gene expression analysis of PBMC from HIV and HIV/TB co-infected patients

(Submitter supplied) Diagnosis of TB, especially in the presence of an HIV co-infection, can be challenging when using conventional diagnostic methods. In this study, we analyzed global gene expression data from PBMC of patients that were either mono-infected with HIV or co-infected with HIV and TB in order to identify a TB-specific gene signature.
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS4786
Platform:
GPL10558
44 Samples
Download data: TXT
Series
Accession:
GSE50834
ID:
200050834
17.
Full record GDS4786

HIV and tuberculosis co-infection: peripheral blood mononuclear cell

Analysis of PBMCs from HIV patients with and without M. tuberculosis (TB) co-infection. Co-infection with TB is a cause of death in HIV-infected individuals. Results provide insight into a molecular signature to distinguish HIV/TB co-infected patients from HIV mono-infected patients.
Organism:
Homo sapiens
Type:
Expression profiling by array, count, 2 infection sets
Platform:
GPL10558
Series:
GSE50834
44 Samples
Download data
18.

A two-gene signature for diagnosis of tuberculosis in persons with advanced HIV

(Submitter supplied) Background: Tuberculosis (TB) among persons living with HIV (PLWH) poses diagnostic challenges. Although several transcriptional signatures have recently been identified as promising tool for TB diagnosis, data are limited in persons with advanced HIV. Methodology: Reads were aligned to the human transcriptome (GRCh38 version 100), comprising both mRNA and ncRNA, with Salmon v1.2.0. A Random Forest algorithm with “leave-one-out” cross-validation was applied in the variance stabilizing transformation gene expression. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL20795
25 Samples
Download data: TXT
19.

Sequential inflammatory processes define human progression from M. tuberculosis infection to tuberculosis disease

(Submitter supplied) To define mechanisms that underlie progression of Mycobacterium tuberculosis (M.tb) infection to active tuberculosis (TB), we followed M.tb-infected adolescents longitudinally. Those who ultimately developed TB disease (“progressors”) were compared with matched controls, who remained healthy. Whole blood transcriptomic and plasma proteome analyses showed sequential modulation of immunological processes: type I/II interferon signalling and complement cascade were elevated 18 months before TB diagnosis, while changes in myeloid inflammation and lymphoid cell, monocyte and neutrophil gene modules occurred more proximally to TB disease. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
1650 Samples
Download data: TXT
20.

A blood RNA signature for predicting the treatment outcome in the Tuberculosis Treatment Response Cohort

(Submitter supplied) Identification of blood biomarkers that prospectively predict Mycobacterium tuberculosis treatment response.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
914 Samples
Download data: CSV, TXT
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