Microarray Data Explorer
Info Raw gene Expression data is sourced from GEO, and the appropriate db package for mapping probes to gene symbols was sourced from the Bioconductor AnnotationData packages. You can read more about microarray data here.
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GROUP CONDITION SAMPLES
Islets
GSM680277 GSM680278 GSM680279 GSM680280 GSM680281 GSM680282
GSM680266 GSM680267 GSM680268 GSM680269 GSM680270
GSM680271 GSM680272 GSM680273 GSM680274 GSM680275 GSM680276
Description

Submission Date: Feb 27, 2011

Summary: TGFbi (transforming growth factor-beta-induced) is a secreted protein and is capable of binding to both extracellular matrix (ECM) and cells. It thus acts as a bifunctional molecule enhancing ECM and cell interactions, a lack of which results in dysfunction of many cell types. In this study, we investigated the role of TGFbi in the function and survival of islets. Based on DNA microarray analysis followed by qPCR confirmation, the TGFbi gene showed drastic increases in expression in islets after culture. We demonstrated that recombinant TGFbi could preserve the integrity and enhance the function of cultured islets. Such a beneficial effect was mediated via signalling through FAK. Exogenous TGFbi was capable of sustaining high-level FAK phosphorylation in isolated islets, and FAK knockdown by siRNA in islets resulted in compromised islet function. TGFbi Tg islets showed better integrity and insulin release after in vitro culture. In vivo, b-cell proliferation was detectable in Tg but not wild type pancreata. At age above 12 months, Tg pancreata contained giant islets. Tg mice displayed better glucose tolerance than the controls. Tg islets were more potent in lowering blood glucose when transplanted into syngeneic mice with streptozotocin-induced diabetes, and these transplanted islets also underwent regeneration. Our results indicate that TGFbi is a vital trophic factor promoting islet survival, function and regeneration. At least some of its beneficial effect was mediated by signalling through FAK.

GEO Accession ID: GSE27547

PMID: 21471441

Description

Submission Date: Feb 27, 2011

Summary: TGFbi (transforming growth factor-beta-induced) is a secreted protein and is capable of binding to both extracellular matrix (ECM) and cells. It thus acts as a bifunctional molecule enhancing ECM and cell interactions, a lack of which results in dysfunction of many cell types. In this study, we investigated the role of TGFbi in the function and survival of islets. Based on DNA microarray analysis followed by qPCR confirmation, the TGFbi gene showed drastic increases in expression in islets after culture. We demonstrated that recombinant TGFbi could preserve the integrity and enhance the function of cultured islets. Such a beneficial effect was mediated via signalling through FAK. Exogenous TGFbi was capable of sustaining high-level FAK phosphorylation in isolated islets, and FAK knockdown by siRNA in islets resulted in compromised islet function. TGFbi Tg islets showed better integrity and insulin release after in vitro culture. In vivo, b-cell proliferation was detectable in Tg but not wild type pancreata. At age above 12 months, Tg pancreata contained giant islets. Tg mice displayed better glucose tolerance than the controls. Tg islets were more potent in lowering blood glucose when transplanted into syngeneic mice with streptozotocin-induced diabetes, and these transplanted islets also underwent regeneration. Our results indicate that TGFbi is a vital trophic factor promoting islet survival, function and regeneration. At least some of its beneficial effect was mediated by signalling through FAK.

GEO Accession ID: GSE27547

PMID: 21471441

Visualize Samples

Info Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.

Precomputed Differential Gene Expression

Info Differential expression signatures are automatically computed using the limma R package. More options for differential expression are available to compute below.

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Differential Gene Expression Analysis
Info Differential expression signatures can be computed using DESeq2 or characteristic direction.
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