Literature DB >> 26103160

Differentiation of Human-Induced Pluripotent Stem Cells Into Insulin-Producing Clusters by MicroRNA-7.

Anahita Shaer1, Negar Azarpira, Mohammad Hosein Karimi, Masood Soleimani, Sadrollah Dehghan.   

Abstract

OBJECTIVES: Diabetes results from inadequate insulin production from pancreatic β-cells. Islet cell replacement is an effective approach for diabetes treatment; however, it is not sufficient for all diabetic patients. Thus, finding a new source with effective maturation of β-cells is the major goal of many studies. MicroRNAs are a class of small noncoding ribonucleic acid that regulate gene expression through posttranscriptional mechanisms. MicroRNA-7 has high expression level during pancreatic islet development in humans, thereby playing a critical role in pancreatic β-cell function. We study aimed to develop a protocol to differentiate human-induced pluripotent stem cells efficiently into isletlike cell clusters in vitro by using microRNA-7.
MATERIALS AND METHODS: Human-induced pluripotent stem cell colonies were transfected with hsa-microRNA-7 by using siPORT NeoFX transfection agent. Total ribonucleic acid was extracted 24 and 48 hours after transfection. The expression of transcription factors which were important during pancreases development was also performed. On the third day, the potency of the clusters was assessed in response to high glucose levels. Diphenylthiocarbazone was used to identify the existence of the β-cells. The presence of insulin and Neurogenin-3 proteins was investigated by immunocytochemistry.
RESULTS: Morphologic changes were observed on the first day after chemical transfection, and cell clusters were formed on the third day. The expression of pancreatic specific transcription factors was increased on the first day and significantly increased on the second day. The isletlike cell clusters were positive for insulin and Neurogenin-3 proteins in immunocytochemistry. The clusters were stained with Diphenylthiocarbazone and secreted insulin in a glucose challenge test.
CONCLUSIONS: MicroRNA-7 transcription factor network is important in pancreatic endocrine differentiation. Chemical transfection with microRNA-7 can differentiate human induced pluripotent stem cells into functional isletlike cell clusters in a short time.

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Year:  2016        PMID: 26103160     DOI: 10.6002/ect.2014.0144

Source DB:  PubMed          Journal:  Exp Clin Transplant        ISSN: 1304-0855            Impact factor:   0.945


  6 in total

1.  Optimization of activin-A: a breakthrough in differentiation of human induced pluripotent stem cell into definitive endoderm.

Authors:  Sadegh Ghorbani-Dalini; Negar Azarpira; Mohammad Hossein Sangtarash; Hamid Reza Soleimanpour-Lichaei; Ramin Yaghobi; Shahrokh Lorzadeh; Alice Sabet; Meysam Sarshar; Ismail H Al-Abdullah
Journal:  3 Biotech       Date:  2020-04-27       Impact factor: 2.406

Review 2.  MicroRNAs in Type 1 Diabetes: Complex Interregulation of the Immune System, β Cell Function and Viral Infections.

Authors:  Sonia R Isaacs; Jie Wang; Ki Wook Kim; Congcong Yin; Li Zhou; Qing Sheng Mi; Maria E Craig
Journal:  Curr Diab Rep       Date:  2016-12       Impact factor: 4.810

Review 3.  Regulatory Roles of MicroRNAs in Diabetes.

Authors:  Juan Feng; Wanli Xing; Lan Xie
Journal:  Int J Mol Sci       Date:  2016-10-17       Impact factor: 5.923

Review 4.  MiRNAs in β-Cell Development, Identity, and Disease.

Authors:  Aida Martinez-Sanchez; Guy A Rutter; Mathieu Latreille
Journal:  Front Genet       Date:  2017-01-11       Impact factor: 4.599

5.  microRNA-181c-5p promotes the formation of insulin-producing cells from human induced pluripotent stem cells by targeting smad7 and TGIF2.

Authors:  Ning Li; Doukou Jiang; Qian He; Fei He; Yang Li; Chunyan Deng; Furong Li
Journal:  Cell Death Dis       Date:  2020-06-15       Impact factor: 8.469

6.  Multi-omics profiling reveals microRNA-mediated insulin signaling networks.

Authors:  Yang-Chi-Dung Lin; Hsi-Yuan Huang; Sirjana Shrestha; Chih-Hung Chou; Yen-Hua Chen; Chi-Ru Chen; Hsiao-Chin Hong; Jing Li; Yi-An Chang; Men-Yee Chiew; Ya-Rong Huang; Siang-Jyun Tu; Ting-Hsuan Sun; Shun-Long Weng; Ching-Ping Tseng; Hsien-Da Huang
Journal:  BMC Bioinformatics       Date:  2020-09-17       Impact factor: 3.169

  6 in total

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