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| Status |
Public on Apr 19, 2018 |
| Title |
A modular transcriptional signature identifies phenotypic heterogeneity of human tuberculosis infection [Berry_London] |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
Whole blood transcriptional signatures distinguishing patients with active tuberculosis from asymptomatic latently infected individuals have been described but, no consensus exists for the composition of optimal reduced gene sets as diagnostic biomarkers that also achieve discrimination from other diseases.
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| Overall design |
We undertook RNA Sequencing (RNA-Seq) of our earlier Berry et al. 2010 (GSE19444 and GSE19442) cohorts and additionally set up a prospective cohort study at Leicester (UK) in subject groups of incident TB and recent TB contacts, respectively. In the Leicester cohort, we performed systematic longitudinal sampling and clinical characterisation first, to validate our TB signature using RNA-Seq in a new and independent cohort of individuals with active TB and LTBI, and secondly to provide longitudinal data in a low TB incidence setting.
All samples in this series were re-analyzed from GSE19444. There are links on each sample page to the original sample.
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| Contributor(s) |
Singhania A, Verma R, Graham CM, Lee J, Trang T, Richardson M, Lecine P, Leissner P, Berry MP, Wilkinson RJ, Kaiser K, Rodrigue M, Woltmann G, Haldar P, O'Garra A |
| Citation(s) |
29921861 |
| |
| Submission date |
Dec 12, 2017 |
| Last update date |
May 15, 2019 |
| Contact name |
Akul Singhania |
| E-mail(s) |
akul.singhania@crick.ac.uk
|
| Phone |
+442037963319
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| Organization name |
The Francis Crick Institute
|
| Street address |
1 Midland Road
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| City |
London |
| ZIP/Postal code |
NW1 1AT |
| Country |
United Kingdom |
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| Platforms (1) |
| GPL20301 |
Illumina HiSeq 4000 (Homo sapiens) |
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| Samples (54)
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| This SubSeries is part of SuperSeries: |
| GSE107995 |
A modular transcriptional signature identifies phenotypic heterogeneity of human tuberculosis infection |
|
| Relations |
| BioProject |
PRJNA422128 |
| SRA |
SRP126580 |
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