Expression of α2- and β-adrenoceptor subtypes in human islets of Langerhans

1996 ◽  
Vol 148 (3) ◽  
pp. 531-543 ◽  
Author(s):  
R J Lacey ◽  
S L F Chan ◽  
H C Cable ◽  
R F L James ◽  
C W Perret ◽  
...  

Abstract Sequences from cDNA molecules encoding α2-adrenoceptor subtype genes were subcloned into prokaryotic vectors and riboprobes generated to hybridise selectively with each of the human α2C2-, α2C4- and α2C10-adrenoceptor subtype mRNA species. The riboprobes were labelled with either 32P or digoxigenin and used to study the expression of α2-adrenoceptor subtypes in sections of human pancreas, in isolated human islets of Langerhans and in clonal HIT-T15 pancreatic β-cells. Using a ribonuclease protection assay protocol, expression of mRNA species encoding both α2C2 and α2C10 was demonstrated in preparations of isolated human islets of Langerhans. mRNA encoding α2C4 was also detected in human islet RNA, using reverse transcription coupled with the polymerase chain reaction. In situ hybridisation was then employed to examine the distribution of each α2-adrenoceptor subtype in sections of human pancreas. All three subtypes of α2-adrenoceptor mRNA were identified in sections of formalin-fixed, paraffinembedded human pancreas using riboprobes labelled with digoxigenin. Although some labelling of the three α2-adrenoceptor mRNA subtypes was seen in the islets, the labelling was most intense in the exocrine tissue of the pancreas for each receptor subtype. The specificity of the digoxigenin-labelled RNA probes was confirmed in several control tissues and by in situ hybridisation studies using sense probes in the pancreas. The integrity of the pancreas sections was confirmed by in situ hybridisation with an antisense riboprobe derived from human insulin cDNA. The results demonstrate that multiple α2-adrenoceptor subtypes are expressed in human pancreas. Both the exocrine and endocrine cells express more than one receptor subtype, although the islets stain less intensely than the bulk of the tissue suggesting that the islet cells may have lower levels of expression than the acinar tissue. The presence of α2-adrenoceptor subtype mRNA species in pancreatic β-cells was confirmed by Northern blotting of RNA extracted from the clonal β-cell line, HIT-T15. Transcripts encoding each of the three cloned α2-adrenoceptor subtypes were detected in HIT-T15 cells. Hybridisation of sections of human pancreas with oligodeoxynucleotide probes designed to hybridise with β2-adrenoceptor mRNA revealed expression of this species in islet β-cells but not in the exocrine tissue of the pancreas. Journal of Endocrinology (1996) 148, 531–543

Diabetes ◽  
2006 ◽  
Vol 55 (9) ◽  
pp. 2463-2469 ◽  
Author(s):  
Ivan Quesada ◽  
Mariana G. Todorova ◽  
Paloma Alonso-Magdalena ◽  
Marta Beltrá ◽  
Everardo M. Carneiro ◽  
...  

2008 ◽  
Vol 17 (12) ◽  
pp. 1349-1359 ◽  
Author(s):  
Joo Ho Tai ◽  
Hongtao Sun ◽  
Weihua Liu ◽  
C. W. James Melling ◽  
Craig Hasilo ◽  
...  

2009 ◽  
Vol 23 (1-3) ◽  
pp. 125-132 ◽  
Author(s):  
Bo Liu ◽  
Henry Asare-Anane ◽  
Altaf Al-Romaiyan ◽  
GuoCai Huang ◽  
Stephanie A. Amiel ◽  
...  

Diabetes ◽  
1989 ◽  
Vol 38 (3) ◽  
pp. 386-396 ◽  
Author(s):  
N. M. Kneteman ◽  
D. Alderson ◽  
D. W. Scharp ◽  
P. E. Lacy

Metabolites ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 363
Author(s):  
Louise Cottle ◽  
Ian Gilroy ◽  
Kylie Deng ◽  
Thomas Loudovaris ◽  
Helen E. Thomas ◽  
...  

Pancreatic β cells secrete the hormone insulin into the bloodstream and are critical in the control of blood glucose concentrations. β cells are clustered in the micro-organs of the islets of Langerhans, which have a rich capillary network. Recent work has highlighted the intimate spatial connections between β cells and these capillaries, which lead to the targeting of insulin secretion to the region where the β cells contact the capillary basement membrane. In addition, β cells orientate with respect to the capillary contact point and many proteins are differentially distributed at the capillary interface compared with the rest of the cell. Here, we set out to develop an automated image analysis approach to identify individual β cells within intact islets and to determine if the distribution of insulin across the cells was polarised. Our results show that a U-Net machine learning algorithm correctly identified β cells and their orientation with respect to the capillaries. Using this information, we then quantified insulin distribution across the β cells to show enrichment at the capillary interface. We conclude that machine learning is a useful analytical tool to interrogate large image datasets and analyse sub-cellular organisation.


Nitric Oxide ◽  
2002 ◽  
Vol 7 (4) ◽  
pp. 289-296 ◽  
Author(s):  
P Stickings ◽  
S.K Mistry ◽  
J.-L Boucher ◽  
S.M Morris ◽  
J.M Cunningham

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