MicroRNAs in Type 2 Diabetes : Focus on MicroRNA Profiling in Islets of Langerhans

Cowan, Elaine (author): Lund University,Lunds universitet,Institutionen för kliniska vetenskaper, Malmö,Medicinska fakulteten,Diabetes - öcellsexocytos,Forskargrupper vid Lunds universitet,Department of Clinical Sciences, Malmö,Faculty of Medicine,Diabetes - Islet Cell Exocytosis,Lund University Research Groups,Skåne University Hospital

Karagiannopoulos, Alexandros (author): Lund University,Lunds universitet,Institutionen för kliniska vetenskaper, Malmö,Medicinska fakulteten,Diabetes - öcellsexocytos,Forskargrupper vid Lunds universitet,Department of Clinical Sciences, Malmö,Faculty of Medicine,Diabetes - Islet Cell Exocytosis,Lund University Research Groups,Skåne University Hospital

Eliasson, Lena (author): Lund University,Lunds universitet,Institutionen för kliniska vetenskaper, Malmö,Medicinska fakulteten,Diabetes - öcellsexocytos,Forskargrupper vid Lunds universitet,Department of Clinical Sciences, Malmö,Faculty of Medicine,Diabetes - Islet Cell Exocytosis,Lund University Research Groups,Skåne University Hospital

Moore, Anna (editor)

Wang, Ping (editor)

(creator_code:org_t)

2022-12-13
2022
English 30 s.
In: Type-1 Diabetes : Methods and Protocols - Methods and Protocols. - New York, NY : Springer US. - 1940-6029. - 9781071628072 - 9781071628065 ; :2592, s. 113-142

Related links:: http://dx.doi.org/10...; show more...; https://lup.lub.lu.s...; https://doi.org/10.1...; show less...

Abstract Subject headings

Differential expression of microRNAs (miRNAs) is observed in many diseases including type 2 diabetes (T2D). Insulin secretion from pancreatic beta cells is central for the regulation of blood glucose levels and failure to release enough insulin results in hyperglycemia and T2D. The importance in T2D pathogenesis of single miRNAs in beta cells has been described; however, to get the full picture, high-throughput miRNA sequencing is necessary. Here we describe a method using small RNA sequencing, from sample preparation to expression analysis using bioinformatic tools. In the end, a tutorial on differential expression analysis is presented in R using publicly available data.

By the author/editor: Cowan, Elaine; Karagiannopoulos ...; Eliasson, Lena; Moore, Anna; Wang, Ping

About the subject

MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Clinical Medicin ...; and Endocrinology an ...

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