Automated, High-Throughput Assays for Evaluation of Human Pancreatic Islet Function
An important challenge in pancreatic islet transplantation in association with type 1 diabetes is to define automatic high-throughput assays for evaluation of human islet function. The physiological techniques presently used are amenable to small-scale experimental samples and produce descriptive re...
Main Authors: | , , , , , , , , , , |
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Format: | Article |
Language: | English |
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SAGE Publishing
2007-11-01
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Series: | Cell Transplantation |
Online Access: | https://doi.org/10.3727/000000007783472408 |
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author | Over Cabrera M. Caroline Jacques-Silva Dora M. Berman Alberto Fachado Felipe Echeverri Ramon Poo Aisha Khan Norma S. Kenyon Camillo Ricordi Per-Olof Berggren Alejandro Caicedo |
author_facet | Over Cabrera M. Caroline Jacques-Silva Dora M. Berman Alberto Fachado Felipe Echeverri Ramon Poo Aisha Khan Norma S. Kenyon Camillo Ricordi Per-Olof Berggren Alejandro Caicedo |
author_sort | Over Cabrera |
collection | DOAJ |
description | An important challenge in pancreatic islet transplantation in association with type 1 diabetes is to define automatic high-throughput assays for evaluation of human islet function. The physiological techniques presently used are amenable to small-scale experimental samples and produce descriptive results. The postgenomic era provides an opportunity to analyze biological processes on a larger scale, but the transition to high-throughput technologies is still a challenge. As a first step to implement high-throughput assays for the study of human islet function, we have developed two methodologies: multiple automated perifusion to determine islet hormone secretion and high-throughput kinetic imaging to examine islet cellular responses. Both technologies use fully automated devices that allow performing simultaneous experiments on multiple islet preparations. Our results illustrate that these technologies can be applied to study the functional status and explore the pharmacological profiles of islet cells. These methodologies will enable functional characterization of human islet preparations before transplantation and thereby provide the basis for the establishment of predictive tests for β-cell potency. |
first_indexed | 2024-12-20T02:37:06Z |
format | Article |
id | doaj.art-277b1e6032fe439aa778b2cca29bfca7 |
institution | Directory Open Access Journal |
issn | 0963-6897 1555-3892 |
language | English |
last_indexed | 2024-12-20T02:37:06Z |
publishDate | 2007-11-01 |
publisher | SAGE Publishing |
record_format | Article |
series | Cell Transplantation |
spelling | doaj.art-277b1e6032fe439aa778b2cca29bfca72022-12-21T19:56:24ZengSAGE PublishingCell Transplantation0963-68971555-38922007-11-011610.3727/000000007783472408Automated, High-Throughput Assays for Evaluation of Human Pancreatic Islet FunctionOver Cabrera0M. Caroline Jacques-Silva1Dora M. Berman2Alberto Fachado3Felipe Echeverri4Ramon Poo5Aisha Khan6Norma S. Kenyon7Camillo Ricordi8Per-Olof Berggren9Alejandro Caicedo10The Rolf Luft Research Center for Diabetes and Endocrinology, Karolinska Institutet, Stockholm, SwedenDiabetes Research Institute, Miller School of Medicine, University of Miami, Miami, FL, USADiabetes Research Institute, Miller School of Medicine, University of Miami, Miami, FL, USADiabetes Research Institute, Miller School of Medicine, University of Miami, Miami, FL, USABiorep® Technologies, Inc., Miami, FL, USABiorep® Technologies, Inc., Miami, FL, USADiabetes Research Institute, Miller School of Medicine, University of Miami, Miami, FL, USADiabetes Research Institute, Miller School of Medicine, University of Miami, Miami, FL, USADiabetes Research Institute, Miller School of Medicine, University of Miami, Miami, FL, USAThe Rolf Luft Research Center for Diabetes and Endocrinology, Karolinska Institutet, Stockholm, SwedenDiabetes Research Institute, Miller School of Medicine, University of Miami, Miami, FL, USAAn important challenge in pancreatic islet transplantation in association with type 1 diabetes is to define automatic high-throughput assays for evaluation of human islet function. The physiological techniques presently used are amenable to small-scale experimental samples and produce descriptive results. The postgenomic era provides an opportunity to analyze biological processes on a larger scale, but the transition to high-throughput technologies is still a challenge. As a first step to implement high-throughput assays for the study of human islet function, we have developed two methodologies: multiple automated perifusion to determine islet hormone secretion and high-throughput kinetic imaging to examine islet cellular responses. Both technologies use fully automated devices that allow performing simultaneous experiments on multiple islet preparations. Our results illustrate that these technologies can be applied to study the functional status and explore the pharmacological profiles of islet cells. These methodologies will enable functional characterization of human islet preparations before transplantation and thereby provide the basis for the establishment of predictive tests for β-cell potency.https://doi.org/10.3727/000000007783472408 |
spellingShingle | Over Cabrera M. Caroline Jacques-Silva Dora M. Berman Alberto Fachado Felipe Echeverri Ramon Poo Aisha Khan Norma S. Kenyon Camillo Ricordi Per-Olof Berggren Alejandro Caicedo Automated, High-Throughput Assays for Evaluation of Human Pancreatic Islet Function Cell Transplantation |
title | Automated, High-Throughput Assays for Evaluation of Human Pancreatic Islet Function |
title_full | Automated, High-Throughput Assays for Evaluation of Human Pancreatic Islet Function |
title_fullStr | Automated, High-Throughput Assays for Evaluation of Human Pancreatic Islet Function |
title_full_unstemmed | Automated, High-Throughput Assays for Evaluation of Human Pancreatic Islet Function |
title_short | Automated, High-Throughput Assays for Evaluation of Human Pancreatic Islet Function |
title_sort | automated high throughput assays for evaluation of human pancreatic islet function |
url | https://doi.org/10.3727/000000007783472408 |
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