Several different sources of cells for the generation of insulin producing cells beta-cells for the treatment of diabetes can be envisioned. These include pluripotent stem cells as well as adult endoderm derivatives such as liver cells. The current focus in producing beta-cells from pluripotent precursors is on the use of extrinsic factors, whereas the generation of beta-cell from hepatic cells involves genetic reprogramming using gene transfer strategies. This project brings together investigators working on these different approaches for the purpose of integrating relevant information and using it to guide us towards the most efficient way of producing transplantable beta-cell equivalents. Specifically, epigenetic analysis of differentiation intermediates from all projects will be used to inform rational decisions about the extrinsic/genetic manipulations required in each system to achieve the final goal of therapeutically useful cells. Because in vivo reprogramming of liver cells requires the use of adenoviral vectors, the role of this virus in reprogramming must be elucidated. Heterogeneity of the in vitro products is expected in each system and hence reagents to purify more epigenetically homogeneous populations are needed. We propose further development of surface reactive monoclonal antibodies for this purpose. Finally, functional validation of the differentiation products requires in vivo testing upon transplantation into animal models.

Public Health Relevance

Transplantation of islets from cadaveric donors has shown that type 1 diabetes can be successfully treated by cell therapy. However, high quality cadaveric islet donors are rare and new sources of transplantable beta-cells must be found in order for this approach to realize its clinical potential. This proejct will produce patient-matched autologous beta-cells for the treatment of type 1 diabetes. Successful execution will impact large numbers of patients world-wide.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project--Cooperative Agreements (U01)
Project #
3U01DK089569-05S1
Application #
8908448
Study Section
Special Emphasis Panel (ZDK1-GRB-G (M3))
Program Officer
Sato, Sheryl M
Project Start
2010-09-15
Project End
2015-06-30
Budget Start
2014-07-01
Budget End
2015-06-30
Support Year
5
Fiscal Year
2014
Total Cost
$287,435
Indirect Cost
$100,789
Name
Oregon Health and Science University
Department
Pediatrics
Type
Schools of Medicine
DUNS #
096997515
City
Portland
State
OR
Country
United States
Zip Code
97239
Dorrell, Craig; Schug, Jonathan; Canaday, Pamela S et al. (2016) Human islets contain four distinct subtypes of ? cells. Nat Commun 7:11756
Galivo, Feorillo H; Dorrell, Craig; Grompe, Maria T et al. (2015) Novel surface markers directed against adult human gallbladder. Stem Cell Res 15:172-81
Phillips, Neil; Kay, Mark A (2014) Characterization of vector-based delivery of neurogenin-3 in murine diabetes. Hum Gene Ther 25:651-61
Dorrell, Craig; Tarlow, Branden; Wang, Yuhan et al. (2014) The organoid-initiating cells in mouse pancreas and liver are phenotypically and functionally similar. Stem Cell Res 13:275-83
Morgan, Terry K; Hardiman, Karin; Corless, Christopher L et al. (2013) Human pancreatic cancer fusion 2 (HPC2) 1-B3: a novel monoclonal antibody to screen for pancreatic ductal dysplasia. Cancer Cytopathol 121:37-46
Bramswig, Nuria C; Everett, Logan J; Schug, Jonathan et al. (2013) Epigenomic plasticity enables human pancreatic ? to ? cell reprogramming. J Clin Invest 123:1275-84
Hooper, Jody E; Morgan, Terry K; Grompe, Markus et al. (2012) The novel monoclonal antibody HPC2 and N-cadherin distinguish pancreatic ductal adenocarcinoma from cholangiocarcinoma. Hum Pathol 43:1583-9
Dorrell, C; Schug, J; Lin, C F et al. (2011) Transcriptomes of the major human pancreatic cell types. Diabetologia 54:2832-44
Moghrabi, Nabil N; Johnson, Monique A; Yoshitomi, Marvin J et al. (2009) Validation of Fanconi anemia complementation Group A assignment using molecular analysis. Genet Med 11:183-92