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SRP126691
Homo sapiens
162 Downloadable Samples
Illumina HiSeq 4000
Description
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. 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.
Publication Title
A modular transcriptional signature identifies phenotypic heterogeneity of human tuberculosis infection.
Sample Metadata Fields
Sex, Specimen part, Race, Subject
View Samples- Homo sapiens
- 129 Downloadable Samples
- Illumina HiSeq 4000
Description
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. 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.
Publication Title
A modular transcriptional signature identifies phenotypic heterogeneity of human tuberculosis infection.
Sample Metadata Fields
Sex, Specimen part, Race, Subject
View Samples- Homo sapiens
- 53 Downloadable Samples
- Illumina HiSeq 4000
Description
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. 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.
Publication Title
A modular transcriptional signature identifies phenotypic heterogeneity of human tuberculosis infection.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 45 Downloadable Samples
- Illumina HiSeq 4000
Description
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. 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. 43 of the 47 samples in this series were re-analyzed from GSE19442. These samples include links to the original sample at the foot of the page.
Publication Title
A modular transcriptional signature identifies phenotypic heterogeneity of human tuberculosis infection.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 8 Downloadable Samples
Illumina HumanHT-12 V4.0 expression beadchip
Description
Inhibitor of apoptosis (IAP) proteins constitute a conserved family of molecules which regulate both apoptosis and receptor signaling. They are often deregulated in cancer cells and represent potential targets for therapy. In our work, we investigated the effect of IAP inhibition in vivo to identify novel downstream genes expressed in an IAP-dependent manner that could contribute to cancer aggressiveness. To this end, immunocompromised mice engrafted subcutaneously with the triple negative breast cancer MDA-MB231 cell line were treated with SM83, a pan-IAP inhibitor developed by us, and tumor nodules were profiled for gene expression. Our work suggests that IAP-targeted therapy could contribute to EGFR inhibition and the reduction of its downstream mediators. This approach could be particularly effective in cells characterized by high levels of EGFR and Snai2, such as triple negative breast cancer.
Publication Title
cIAP1 regulates the EGFR/Snai2 axis in triple-negative breast cancer cells.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 35 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Disruption of N-linked glycosylation has a broad impact on proper glycosylation of nascent glycoproteins in the endoplasmic reticulum, which affect multiple signalling pathways( by changing the stability of membrane proteins or the signalling ability of membrane receptors) and may be responsible of the fibrotic stage associated to CDG type-I.
Publication Title
Fibrotic response in fibroblasts from congenital disorders of glycosylation.
Sample Metadata Fields
No sample metadata fields
View Samples- Arabidopsis thaliana
- 26 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
This work uses a time series in order to decipher gene relationships and consequently to build core regulatory networks involved in Arabidopsis root adaptation to NO3- provision. The experimental approach has been to monitor genome response to NO3- at 3, 6, 9, 12, 15 and 20 min, using ATH1 chips. This high-resolution time course analysis demonstrated that the previously known primary nitrate response is actually preceded by very fast (within 3 min) gene expression modulation, involving genes/functions needed to prepare plants to use/reduce NO3-. State-space modeling (a machine learning approach) has been used to successfully predict gene behavior in unlearnt conditions.
Publication Title
Predictive network modeling of the high-resolution dynamic plant transcriptome in response to nitrate.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Mus musculus
- 8 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Previous studies in our laboratory have shown that low folate diet (control diet with 2mg folate/kg, low folate diet with 0.3mg folate/kg) can induce intestinal tumors in BALB/c mice. In addition, we reported that C57Bl/6J mice did not form tumors under the same conditions.
Publication Title
Differential gene expression and methylation in the retinoid/PPARA pathway and of tumor suppressors may modify intestinal tumorigenesis induced by low folate in mice.
Sample Metadata Fields
Sex, Specimen part, Treatment
View Samples- Drosophila melanogaster
- 8 Downloadable Samples
- Affymetrix Drosophila Genome 2.0 Array (drosophila2)
Description
We address the function of HEXIM, an inhibitor of the general transcriptional elongation regulator P-TEFb which regulates the transcriptional status of many developmental genes, during Drosophila development. We showed that HEXIM knockdown mutants display organs development failure. In the wing disc, it induces apoptosis and affects Hh signaling. The continuous death of proliferative cells is compensated by apoptosis-induced cell proliferation, in a manner similar to that of differentiated cells, together with high levels of Hh and Ci. We completed this analysis with microarrays to characterize the molecular phenotype of HEXIM knockdown during eye differentiation.
Publication Title
Functional Interaction between HEXIM and Hedgehog Signaling during Drosophila Wing Development.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 24 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Rosiglitazone (Rosi), a member of the thiazolidinedione class of drugs used to treat type 2 diabetes, activates the adipocyte-specific transcription factor peroxisome proliferator-activated receptor gamma (PPARg). This activation causes bone loss in animals and humans, at least in part due to suppression of osteoblast differentiation from marrow mesenchymal stem cells (MSC). In order to identify mechanisms by which PPARg2 suppresses osteoblastogenesis and promotes adipogenesis in MSC, we have analyzed the PPARg2 transcriptome in response to Rosi. A total of 4,252 transcriptional changes resulted when Rosi (1 uM) was applied to the U-33 marrow stromal cell line, stably transfected with PPARg2 (U-33/g2), as compared to non-induced U-33/g2 cells. Differences between U-33/g2 and U-33 cells stably transfected with empty vector (U-33/c) comprised 7,928 transcriptional changes, independent of Rosi. Cell type-, time- and treatment-specific gene clustering uncovered distinct patterns of PPARg2 transcriptional control of MSC lineage commitment. The earliest changes accompanying Rosi activation of PPARg2 included adjustments in morphogenesis, Wnt signaling, and immune responses, as well as sustained induction of lipid metabolism. Expression signatures influenced by longer exposure to Rosi provided evidence for distinct mechanisms governing the repression of osteogenesis and stimulation of adipogenesis. Our results suggest interactions that could lead to the identification of a master regulatory scheme controlling osteoblast differentiation.
Publication Title
PPARgamma2 nuclear receptor controls multiple regulatory pathways of osteoblast differentiation from marrow mesenchymal stem cells.
Sample Metadata Fields
Compound, Time
View Samples