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Differentiation of human induced pluripotent stem cells as a tool to study the effects of type 2 diabetes loci.

Differentiation of human induced pluripotent stem cells as a tool to study the effects of type 2 diabetes loci.
人类诱导多能干细胞的分化作为研究 2 型糖尿病基因座影响的工具。
批准号:
10700685
负责人:
Leslie J Baier
金额:
$148.26万
依托单位国家:
美国
项目类别:
财政年份:
--
资助国家:
美国
项目状态:
未结题
起止时间:
至

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中文摘要
翻译
一项为期35天的方案将人类诱导多能干细胞(hiPSCs)重编程为葡萄糖反应性胰腺β样细胞。分化细胞被用于研究2型糖尿病(T2D)相关变异对β细胞发育和胰岛素分泌功能的影响,通过使用CRISPR/Cas9技术来纠正突变,并观察在受试者自身遗传背景中是否可以看到表型逆转。在CRISPR/Cas9编辑之后,进行单细胞克隆、Sanger测序扩增和编辑验证,并使用流式细胞术和hPSC记分卡检测验证适当标记的表达,扩增和表征克隆细胞系的多能性和产生胰腺祖细胞的能力。细胞系也分析潜在的核型异常和脱靶CRISPR效应。在反映分化过程中不同发育阶段的7个时间点,收集细胞进行RNA分析。
英文摘要
A 35-day protocol to reprogram human induced pluripotent stem cells (hiPSCs) into glucose-responsive pancreatic beta-like cells has been developed. Differentiating cells are being used to study the effects of the type 2 diabetes (T2D)-associated variants on beta cell development and insulin secretory function by using CRISPR/Cas9 technology to correct the mutation and observe whether a reversal in the phenotype is seen, in the subjects own genetic background. Following CRISPR/Cas9 editing, single cell cloning, expansion and verification of edit by Sanger sequencing are conducted and clonal cell lines are expanded and characterized for pluripotency and ability to generate pancreatic progenitors using flow cytometry and a hPSC scorecard assay to verify the expression of appropriate markers. Cell lines are also analyzed for potential karyotypic abnormalities and off-target CRISPR effects. AT 7 time points reflecting different developmental stages during the differentiation procedure, cells are collected for RNA analysis. The strongest association for type 2 diabetes (T2D) in Southwestern American Indians maps to intron 15 of KCNQ1 where the lead SNP (rs2299620) is in a region of strong linkage disequilibrium (LD). This region is highly imprinted (genes expressed solely from maternal or paternal allele) and several genes show tissue and developmental stage-specific imprinting. A previous study found that this T2D signal has a parent-of-origin effect, with increased T2D risk and, among normal glucose tolerant individuals a lower insulin secretion, when the risk allele is inherited maternally.To identify the effector gene and causal SNPs at this locus, we utilized our induced pluripotent stem cells (iPSC) to analyze imprinting for KCNQ1, CDKN1C, TRPM5 and TH during different stages of differentiation. KCNQ1 had monoallelic expression during the iPSC stage (day 0), pancreatic progenitor stage (PP, day 10) and endocrine progenitor stage (day 13-16) while there was a gradual loss of imprinting thereafter. CDKN1C had monoallelic expression during all stages of differentiation. In contrast, TRPM5 started losing imprinting during the PP stage and we observed bi-allelic expression during later stages while TH had biallelic expression during all stages. RNA sequencing data from different stages of pancreatic islet development identified 20 genes in a 1.2MB region around the diabetes signal that are expressed during various stages of islet development. We currently believe we have mapped the functional region at KCNQ1 to an 400 bp fragment containing rs2299620 and 3 additional SNPs. TO demonstrate the functionality of this fragment, we used CRISPR-CAS9 to generate iPSCs with targeted edits at these 4 SNPs, and 3 additional SNPs in strong LD, and used these isogenic iPSC-derived pancreatic islets as a model system to study the effect of the variants. Flow cytometry of these islets identified a lower percentage of beta-like cells (cells co-expressing INS and NKX6-1) in islets generated using iPSCs with the risk haplotype, suggesting an effect of these T2D associated SNPs on beta cell mass. Stage specific gene expression analyses identified a significant difference in the fold increase in INS gene expression during the endocrine progenitor (EPs) stage. As endocrine cell type commitment occurs during EP stage and increase in INS expression correlates with beta cell commitment, the lower increase in insulin expression during this stage with the risk haplotype could in part explain the effect of the variants on mature islet composition. In EPs with the risk haplotype, we also identified increased expression of H19 which maps upstream of the SNPs and is known to affect beta-cell mass. Methylation at enhancers regulates gene expression. Therefore, we assessed stage specific methylation at all 13 CpG sites (CpG-func) that encompass the functional region (between rs2299620 and rs74606911) and 3 CpG sites (CpG-ctrl) immediately upstream of rs2299620. We identified dynamic methylation changes at CpG-func whereas no changes at CpG-ctrl (remained hypermethylated, average methylation >90%) during different stages of pancreatic islet differentiation. CpG-func were hypermethylated during the iPSC stage but became hypomethylated during the EP stage. Interestingly, a strong difference in methylation was seen in CpG-func only during the EP stage when compared between the risk and non-risk haplotypes. These data support that the T2D SNPs at KCNQ1 affect islet composition (beta-cell mass) and this effect is manifested early during development, likely via an effect on CpG methylation and gene regulation.
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