2012
DOI: 10.1007/s00125-012-2696-9
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The role of Raf-1 kinase inhibitor protein in the regulation of pancreatic beta cell proliferation in mice

Abstract: Aims/hypothesis Manoeuvres aimed at increasing beta cell mass have been proposed as regenerative medicine strategies for diabetes treatment. Raf-1 kinase inhibitor protein 1 (RKIP1) is a common regulatory node of the mitogen-activated protein kinase (MAPK) and nuclear factor κB (NF-κB) pathways and therefore may be involved in regulation of beta cell homeostasis. The aim of this study was to investigate the involvement of RKIP1 in the control of beta cell mass and function. Methods Rkip1 (also known as Pebp1) … Show more

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Cited by 15 publications
(12 citation statements)
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“…GSE30056 associated with Hayashi et al [29] for EpiSCs and EpiLCs; GSE14012 associated with Sridharan et al [31] for MEFs, iPSCs, and piPSCs; GSE34799 associated with Rugg-Gunn et al [32] for ESCs and EpiSCs; GSE21222 associated with Hanna et al [33] for human iPSCs in naïve and primed states; GSE11274 associated with Ko et al [34] for germline stem cells (GSCs), germline-derived pluripotent stem cells (gPSCs), and neural stem cell (NSC)s; GSE31028 associated with Lien et al [35] for quiescent and activated hair follicular stem cell (HFSC)s; GSE6506 associated with Chambers et al [36] for long-term hematopoietic stem cell (LT-HSC)s, granulocytes, and B cells; GSE9954 associated with Thorrez et al [37] for ovary, testis, bone marrow, placenta, adipose tissue, kidney, liver, pancreas, lung, brain, and heart; GSE19233 associated with Walker et al [38] for bone marrow mesenchymal stem cell (MSC)s; GSE31150 associated with Pardo et al [39] for pancreas. Microarray expression data were background subtracted and normalized by the robust multi-array analysis method [40] using R-package 2.8.1 with Bioconductor 2.6 [41].…”
Section: Methodsmentioning
confidence: 99%
“…GSE30056 associated with Hayashi et al [29] for EpiSCs and EpiLCs; GSE14012 associated with Sridharan et al [31] for MEFs, iPSCs, and piPSCs; GSE34799 associated with Rugg-Gunn et al [32] for ESCs and EpiSCs; GSE21222 associated with Hanna et al [33] for human iPSCs in naïve and primed states; GSE11274 associated with Ko et al [34] for germline stem cells (GSCs), germline-derived pluripotent stem cells (gPSCs), and neural stem cell (NSC)s; GSE31028 associated with Lien et al [35] for quiescent and activated hair follicular stem cell (HFSC)s; GSE6506 associated with Chambers et al [36] for long-term hematopoietic stem cell (LT-HSC)s, granulocytes, and B cells; GSE9954 associated with Thorrez et al [37] for ovary, testis, bone marrow, placenta, adipose tissue, kidney, liver, pancreas, lung, brain, and heart; GSE19233 associated with Walker et al [38] for bone marrow mesenchymal stem cell (MSC)s; GSE31150 associated with Pardo et al [39] for pancreas. Microarray expression data were background subtracted and normalized by the robust multi-array analysis method [40] using R-package 2.8.1 with Bioconductor 2.6 [41].…”
Section: Methodsmentioning
confidence: 99%
“…Islets were isolated using collagenase digestion and Histopaque gradient (Sigma-Aldrich) purification as described elsewhere [ 16 ]. Separate batches of 8 freshly isolated islets were used to determine insulin secretion in static incubation assays as previously described [ 16 ]. Insulin was measured using a mouse insulin ELISA kit (Mercodia).…”
Section: Methodsmentioning
confidence: 99%
“…Next, we wanted to identify disease associated transcriptional patterns by comparing mRNA profiles obtained from normal murine pancreas [19] with those from pancreatic and pituitary tumors of LSL-MYCN;hGFAP-Cre mice. Using principle component analyses, we were able to separate expression patterns of pancreatic tumors from pituitary tumors and from normal pancreatic control tissue ( Figure 4A).…”
Section: Transcriptomes Of Murine Mycn-driven Neuroendocrine Tumors Smentioning
confidence: 99%