TY - JOUR
T1 - Single-cell RNA sequencing for engineering and studying human islets
AU - Augsornworawat, Punn
AU - Millman, Jeffrey R.
N1 - Funding Information:
PA was supported by the David and Deborah Winston Fellowship in Diabetes Research. JRM was supported by the National Institutes of Health ( R01DK114233 ), JDRF ( 5-CDA-2017-391-A-N and 1-SRA-2020-928-S-B ), and Washington University-Centene Personalized Medicine Initiative . The authors thank Alyn Augsornworawat for the illustrations in the figure and Nathaniel J. Hogrebe for feedback on the manuscript.
Publisher Copyright:
© 2020 Elsevier Inc.
PY - 2020/12
Y1 - 2020/12
N2 - The islets of Langerhans are complex tissues composed of several cell types that secrete hormones. Loss or dysfunction of the insulin-producing β cells leads to dysregulation of blood glucose levels, resulting in diabetes. A major goal in cellular engineering has been to generate β cells from stem cells for use in cell-based therapies. However, the presence of other cell types within these islets can mask important details about β cells when using population-level assays. Single-cell RNA sequencing has enabled transcriptional assessment of individual cells within mixed populations. These technologies allow for accurate assessment of specific cell types and subtypes of β cells. Studies investigating different stages of β-cell maturity have led to several insights into understanding islet development and diabetes pathology. Here, we highlight the key findings from the use of single-cell RNA sequencing on stem cell–derived and primary human islet cells found in different maturation and diabetic states.
AB - The islets of Langerhans are complex tissues composed of several cell types that secrete hormones. Loss or dysfunction of the insulin-producing β cells leads to dysregulation of blood glucose levels, resulting in diabetes. A major goal in cellular engineering has been to generate β cells from stem cells for use in cell-based therapies. However, the presence of other cell types within these islets can mask important details about β cells when using population-level assays. Single-cell RNA sequencing has enabled transcriptional assessment of individual cells within mixed populations. These technologies allow for accurate assessment of specific cell types and subtypes of β cells. Studies investigating different stages of β-cell maturity have led to several insights into understanding islet development and diabetes pathology. Here, we highlight the key findings from the use of single-cell RNA sequencing on stem cell–derived and primary human islet cells found in different maturation and diabetic states.
KW - Diabetes
KW - Islets
KW - Single-cell RNA sequencing
KW - Stem cells
UR - http://www.scopus.com/inward/record.url?scp=85088870436&partnerID=8YFLogxK
U2 - 10.1016/j.cobme.2020.06.003
DO - 10.1016/j.cobme.2020.06.003
M3 - Review article
C2 - 33738370
AN - SCOPUS:85088870436
SN - 2468-4511
VL - 16
SP - 27
EP - 33
JO - Current Opinion in Biomedical Engineering
JF - Current Opinion in Biomedical Engineering
ER -