Development of Humanized Mouse Model for Organ Transplantation

Purpose of Study: Solid organ transplantation has been a life-saving procedure for thousands of patients worldwide. Recent advances on improving donor-screening diagnostics have aimed at identification of the most compatible donor for the transplant recipient to maximize allograft survival. Current standards of donor selection relies on HLA typing and in vitro mixed lymphocyte reaction (MLR) which do not take into account the in vivo environment and recipient’s adaptive immune response. Humanized mouse models are an appealing alternative that permits personalized investigation of the immunocompatibility of potential donor tissues for the recipient human immune system without putting patients at risk. By utilizing genomics, molecular and cellular analyses of allogeneic immune response we analyze the efficiency of our novel humanized mouse model to assess the donor-recipient compatibility and determine that it to be significantly more sensitive than conventional screening methods. Methods Used: Human Leukocyte Antigen (HLA) typing and MLR for histocompatibility. Special strain of immunodeficient mice, NSG mice, subjected to irradiation (2Gy) and i.v injection of 8×10 peripheral blood mononuclear cells (PBMCs) from transplant recipients. For allogeneic immune response, humanized mice received 3×10 PBMCs from unrelated donors (UD) or related donors(RD). Whole genome transcriptome analysis and Real-Time PCR (RT-PCR) Transplant Rejection Array was used. Summary of Results: Humanized mice demonstrated that allogeneic UD challenge induced significant splenomegaly with infiltration of activated cytotoxic human CD8+ CD25+ T cells expressing Perforin, Granzyme B and Interferon gamma (IFN-γ). Amongst the RDs, RD1 showed minimal allogeneic response while RD2 promoted higher cytotoxic CD8+ T cells infiltration, indicating that RD1 has better immunocompatibility with the recipient than RD2. However, MLR and HLA typing had failed to differentiate the 2 RDs showing them to have equal immunocompatibility with the recipient. Conclusions: NSG-PBMC humanized mouse model was able to identify the related donor exhibiting minimal allogeneic response to the recipient. This model is significantly more immunologically sensitive than conventional MLR and HLA typing for selection of an immunocompatible donor for the transplant recipient

Inflammation-Mediated Regulation of MicroRNA Expression in Transplanted Pancreatic Islets

Nonspecific inflammation in the transplant microenvironment results in β-cell dysfunction and death influencing negatively graft outcome. MicroRNA (miRNA) expression and gene target regulation in transplanted islets are not yet well characterized. We evaluated the impact of inflammation on miRNA expression in transplanted rat islets. Islets exposed in vitro to proinflammatory cytokines and explanted syngeneic islet grafts were evaluated by miRNA arrays. A subset of 26 islet miRNAs was affected by inflammation both in vivo and in vitro. Induction of miRNAs was dependent on NF-κB, a pathway linked with cytokine-mediated islet cell death. RT-PCR confirmed expression of 8 miRNAs. The association between these miRNAs and mRNA target-predicting algorithms in genome-wide RNA studies of β-cell inflammation identified 238 potential miRNA gene targets. Several genes were ontologically associated with regulation of insulin signaling and secretion, diabetes, and islet physiology. One of the most activated miRNAs was miR-21. Overexpression of miR-21 in insulin-secreting MIN6 cells downregulated endogenous expression of the tumor suppressor Pdcd4 and of Pclo, a Ca2+ sensor protein involved in insulin secretion. Bioinformatics identified both as potential targets. The integrated analysis of miRNA and mRNA expression profiles revealed potential targets that may identify molecular targets for therapeutic interventions

MicroRNA miR-7 is preferentially expressed in endocrine cells of the developing and adult human pancreas

MicroRNAs (miRNA) are small non-coding RNAs that inhibit gene expression through binding to complementary messenger RNA sequences. miRNAs have been predicted to target genes important for pancreas development, proper endocrine cell function and metabolism. We previously described that miRNA-7 (miR-7) was the most abundant and differentially expressed islet miRNA, with 200-fold higher expression in mature human islets than in acinar tissue. Here we have analyzed the temporal and spatial expression of miR-7 in human fetal pancreas from 8 to 22 weeks of gestational age (wga). Human fetal (8–22 wga) and adult pancreases were processed for immunohistochemistry, in situ hybridization, and quantitative RT-PCR of miRNA and mRNA. miR-7 was expressed in the human developing pancreas from around 9 wga and reached its maximum expression levels between 14 and 18 wga, coinciding with the exponential increase of the pancreatic endocrine hormones. Throughout development miR-7 expression was preferentially localized to endocrine cells and its expression persisted in the adult pancreas. The present study provides a detailed analysis of the spatiotemporal expression of miR-7 in developing human pancreas. The specific localization of miR-7 expression to fetal and adult endocrine cells indicates a potential role for miR-7 in endocrine cell differentiation and/or function. Future functional studies of a potential role for miR-7 function in islet cell differentiation and physiology are likely to identify novel targets for the treatment of diabetes and will lead to the development of improved protocols for generating insulin-producing cells for cell replacement therapy

Quantitative differential expression analysis reveals miR-7 as major islet microRNA

MicroRNAs (miRNAs) are non-coding gene products that regulate gene expression through specific binding to target mRNAs. Cell-specific patterns of miRNAs are associated with the acquisition and maintenance of a given phenotype, such as endocrine pancreas (islets). We hypothesized that a subset of miRNAs could be differentially expressed in the islets. Using miRNA microarray technology and quantitative RT-PCR we identified a subset of miRNAs that are the most differentially expressed islet miRNAs (ratio islet/acinar > 150-fold), miR-7 being the most abundant. A similarly high ratio for miR-7 was observed in human islets. The ratio islet/acinar for miR-375, a previously described islet miRNA, was <10 and is 2.5× more abundant in the islets than miR-7. Therefore, we conclude that miR-7 is the most abundant endocrine miRNA in islets while miR-375 is the most abundant intra-islet miRNA. Our results may offer new insights into regulatory pathways of islet gene expression

MicroRNA signature of the human developing pancreas

<p>Abstract</p> <p>Background</p> <p>MicroRNAs are non-coding RNAs that regulate gene expression including differentiation and development by either inhibiting translation or inducing target degradation. The aim of this study is to determine the microRNA expression signature during human pancreatic development and to identify potential microRNA gene targets calculating correlations between the signature microRNAs and their corresponding mRNA targets, predicted by bioinformatics, in genome-wide RNA microarray study.</p> <p>Results</p> <p>The microRNA signature of human fetal pancreatic samples 10-22 weeks of gestational age (wga), was obtained by PCR-based high throughput screening with Taqman Low Density Arrays. This method led to identification of 212 microRNAs. The microRNAs were classified in 3 groups: Group number I contains 4 microRNAs with the increasing profile; II, 35 microRNAs with decreasing profile and III with 173 microRNAs, which remain unchanged. We calculated Pearson correlations between the expression profile of microRNAs and target mRNAs, predicted by TargetScan 5.1 and miRBase altgorithms, using genome-wide mRNA expression data. Group I correlated with the decreasing expression of 142 target mRNAs and Group II with the increasing expression of 876 target mRNAs. Most microRNAs correlate with multiple targets, just as mRNAs are targeted by multiple microRNAs. Among the identified targets are the genes and transcription factors known to play an essential role in pancreatic development.</p> <p>Conclusions</p> <p>We have determined specific groups of microRNAs in human fetal pancreas that change the degree of their expression throughout the development. A negative correlative analysis suggests an intertwined network of microRNAs and mRNAs collaborating with each other. This study provides information leading to potential two-way level of combinatorial control regulating gene expression through microRNAs targeting multiple mRNAs and, conversely, target mRNAs regulated in parallel by other microRNAs as well. This study may further the understanding of gene expression regulation in the human developing pancreas.</p