Morphology and Image Analysis Core (MIAC) The objectives of the core are to: 1. Provide consultation and training In microscopy and optical Image analysis for MDRC investigators Provide access to senior personnel highly skilled in microscopy and optical image analysis for MDRC Investigators 3. Provide access to state-of-the-art instrumentation for microscopy and optical image analysis for MDRC Investigators 4. Develop and/or implement new technologies for microscopy and optical Image analysis beneficial to MDRC Investigators. The MIAC remains focused on providing state-of-the-art quantitative morphological analysis of fixed and living cells for MDRC Investigators working on diabetes, its complications, and related endocrine and metabolic disorders. The Core provides service, consultation, collaboration and access to instrumentation for a variety of microscopic and analytic techniques. The Core focuses on light microscopic and confocal analysis of fixed and living cells using immunocyto-chemlstry, visualization of fluorescent proteins and use of fluorescent reporter probes such as Ca2+ and mitochondrial function. The Core's major instruments are three confocal microscopes and a widefield inverted fluorescence microscope, along with the Instrumentation and software to carry out quantitative and other. The capabilities of the MIAC have been substantially augmented during the current funding cycle.

Public Health Relevance

The research supported by this Core is relevant to public health because it will increase our understanding of the cellular and morphologic events that underlie the development of diabetes and its complications, and hence will facilitate the development of improved diagnostic, prevention and treatment strategies.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Center Core Grants (P30)
Project #
5P30DK020572-40
Application #
9189719
Study Section
Special Emphasis Panel (ZDK1)
Project Start
Project End
2018-02-26
Budget Start
2016-12-01
Budget End
2017-11-30
Support Year
40
Fiscal Year
2017
Total Cost
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Type
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Wang, Jie-Mei; Qiu, Yining; Yang, Zhao et al. (2018) IRE1? prevents hepatic steatosis by processing and promoting the degradation of select microRNAs. Sci Signal 11:
Sung, Yun J (see original citation for additional authors) (2018) A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure. Am J Hum Genet 102:375-400
Allard, John B; Duan, Cunming (2018) IGF-Binding Proteins: Why Do They Exist and Why Are There So Many? Front Endocrinol (Lausanne) 9:117
Zhang, Kezhong (2018) ""NO"" to Autophagy: Fat Does the Trick for Diabetes. Diabetes 67:180-181
Mancuso, Peter; Curtis, Jeffrey L; Freeman, Christine M et al. (2018) Ablation of the leptin receptor in myeloid cells impairs pulmonary clearance of Streptococcus pneumoniae and alveolar macrophage bactericidal function. Am J Physiol Lung Cell Mol Physiol 315:L78-L86
Kowluru, Anjaneyulu; Kowluru, Renu A (2018) RACking up ceramide-induced islet ?-cell dysfunction. Biochem Pharmacol 154:161-169
Griauzde, Dina H; Kullgren, Jeffrey T; Liestenfeltz, Brad et al. (2018) A mobile phone-based program to promote healthy behaviors among adults with prediabetes: study protocol for a pilot randomized controlled trial. Pilot Feasibility Stud 4:48
Pan, Guodong; Munukutla, Srikar; Kar, Ananya et al. (2018) Type-2 diabetic aldehyde dehydrogenase 2 mutant mice (ALDH 2*2) exhibiting heart failure with preserved ejection fraction phenotype can be determined by exercise stress echocardiography. PLoS One 13:e0195796
Latva-Rasku, Aino; Honka, Miikka-Juhani; Stan?áková, Alena et al. (2018) A Partial Loss-of-Function Variant in AKT2 Is Associated With Reduced Insulin-Mediated Glucose Uptake in Multiple Insulin-Sensitive Tissues: A Genotype-Based Callback Positron Emission Tomography Study. Diabetes 67:334-342
Teslovich, Tanya M; Kim, Daniel Seung; Yin, Xianyong et al. (2018) Identification of seven novel loci associated with amino acid levels using single-variant and gene-based tests in 8545 Finnish men from the METSIM study. Hum Mol Genet 27:1664-1674

Showing the most recent 10 out of 1823 publications