CONTACTS
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Phone: (706) 721-3542
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Email: rmcindoe@mcg.edu
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Room: CA4124
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Address:
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| Medical College of Georgia, |
| CBGM, 1120 15th Street, |
| CA4124, |
| Augusta, GA 30912 |
| MCG Faculty Page |
EDUCATION
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| Ph.D., Immunology and Molecular Pathology, |
| University of Florida |
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| B.S., Microbiology and Cell Science, |
| University of Florida |
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RICHARD MCINDOE:
ASSOCIATE DIRECTOR, CENTER FOR BIOTECHNOLOGY AND GENOMIC MEDICINE
PROGRAM DIRECTOR, GENOMIC MEDICINE GRADUATE PROGRAM
PROFESSOR, DEPARTMENT OF PATHOLOGY
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Research Areas
Research interests include bioinformatics, automation, autoimmunity, and diabetes. The research efforts focus on building the computing infrastructure for management of microarray data and looking at the temporal gene expression changes during the etiology of diabetes in rodent and human populations.
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Development of Molecular Networks from High Throughput Data
This area of my lab works on developing molecular networks from both microarray and proteomics data to assess the global molecular signatures that reflect disease states. Projects include looking at literature mining approaches as well as microarray data for both mRNA and miRNA.
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Animal Models of Diabetic Complications Consortium
Overall Goals: Animal models of diabetic complications consortium (AMDCC) will bring together a number of projects representing a diverse set of disciplines and technologies with the goal of improving or creating mouse models of human diabetes complications.
read more...
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Mouse Metabolic Phenotyping Centers
Overall Goals: My laboratory is the Coordinating and Bioinformatics Unit for the MMPC.The mission of the MMPC is to advance medical and biological research by providing the scientific community with standardized, high quality metabolic and physiologic phenotyping services for mouse models of diabetes, diabetic complications, obesity and related disorders.
read more...
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PANDA The Prospective Assessment of Newborns for Diabetes Autoimmunity
Overall Goals: This project is a new born screening program for Type I Diabetes. Individuals are screened at birth for their risk of developing type 1 diabetes and subsequently monitored semi-annually for molecular markers of the diseases.
read more...
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TEDDY The Environmental Determinants of Diabetes in the Young
Overall Goals: This project is a new born screening program for Type I Diabetes. Individuals are screened at birth for their risk of developing type 1 diabetes and subsequently monitored semi-annually for molecular markers of the diseases.
read more...
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Genetic control of autoimmune exocrinopathy in NOD mice
Overall gaols: This project is to investigate the molecular and immunological mechanism underlying exocrinopathies in NOD mice.
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Development of Microarray-based Biomarkers for Type 1 Daibetes
Overall gaols: This project is to develop a biomarkers for the prediction of type 1 diabetes pathogenesis using microarrays.
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JOB OPPORTUNITIES |
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Research Programmer Analyst 2 - Posted: 12/12/07
The Center for Biotechnology and Genomic Medicine (CBGM) at the Medical College of Georgia (MCG) was developed to promote interdisciplinary research in genomics, proteomics and bioinformatics. The center provides state-of-the-art facilities for microarray analysis, proteomics and computational technologies. This computer programmer will be responsibile for maintaining and developing both PANDA and TEDDY web portals; maintenance and development of a data analysis web portal targeted to analyze high dimensional data and complex genomic analysis; writing code for the web applications; developing appropriate object models; maintaining the database code base; and providing technical support for the web application. Minimum Requirements Masters degree from an accredited college or university in Computer Science or related field, or Bachelors degree with three years of experience in the specialty area of the position. Experience with relational database systems, web applications and Java; familiarity with programming languages and technologies; knowledge of Intel Architecture, all Windows operating systems and ASP.NET applications; excellent interpersonal and verbal/written communication skills; ability to work independently with minimal supervision. To apply, please visit the MCG Employment Opportunities web at https://eapps.mcg.edu:7062/erecruitlogin.htm Search for job listings, filter on Computer/Information Technology. Position number: 00008536 Reference number: 3065 The Medical College of Georgia is an Equal Opportunity, Affirmative Action, and Equal Access Employer.
MCG Employment Opportunities |
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Molecular pathways altered by insulin b9-23 immunization.
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Eckenrode SE, Ruan QG, Collins CD, Yang P, McIndoe RA, Muir A, She JX
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CBGM, Medical College of Georgia, 1120 15th Street, CA-4124, Augusta, GA 30912, USA.
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Gene expression profiling during all-trans retinoic acid-induced cell differentiation of acute promyelocytic leukemia cells.
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Yang L, Zhao H, Li SW, Ahrens K, Collins C, Eckenrode S, Ruan QG, McIndoe RA, She JX
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Department of Pathology, Immunology, and Laboratory Medicine, University of Florida College of Medicine, Gainesville, Florida 32610, USA. yanglj@pathology.ufl.edu
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Alterations of renal phenotype and gene expression profiles due to protein overload in NOD-related mouse strains.
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Wilson KH, McIndoe RA, Eckenrode S, Morel L, Agarwal A, Croker BP, She JX
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Center for Biotechnology and Genomic Medicine, Medical College of Georgia, PV6B108, Augusta, GA 30912-2400, USA. Karen.wilson@kmf.gu.se
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Microarray analysis of gene expression in the kidneys of new- and post-onset diabetic NOD mice.
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Wilson KH, Eckenrode SE, Li QZ, Ruan QG, Yang P, Shi JD, Davoodi-Semiromi A, McIndoe RA, Croker BP, She JX
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Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta, Georgia, USA.
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Early pathogenic events associated with Sjögren's syndrome (SjS)-like disease of the NOD mouse using microarray analysis.
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Killedar SY, Eckenrode SE, McIndoe RA, She JX, Nguyen CQ, Peck AB, Cha SR, Cha S
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Department of Oral Biology, College of Dentistry, University of Florida, Gainesville, FL 32610, USA.
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The application of genomic and proteomic technologies in predictive, preventive and personalized medicine.
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Collins CD, Purohit S, Podolsky RH, Zhao HS, Schatz D, Eckenrode SE, Yang P, Hopkins D, Muir A, Hoffman M, McIndoe RA, Rewers M, She JX
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Center for Biotechnology and Genomic Medicine, Medical College of Georgia, 1120 15th Street, CA4124, Augusta, GA 30912-2400, United States.
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Recipes for creating animal models of diabetic cardiovascular disease.
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Hsueh W, Abel ED, Breslow JL, Maeda N, Davis RC, Fisher EA, Dansky H, McClain DA, McIndoe R, Wassef MK, Rabadán-Diehl C, Goldberg IJ
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Division of Endocrinology, Diabetes, and Hypertension, The David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
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A high-throughput population screening system for the estimation of genetic risk for type 1 diabetes: an application for the TEDDY (the Environmental Determinants of Diabetes in the Young) study.
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Kiviniemi M, Hermann R, Nurmi J, Ziegler AG, Knip M, Simell O, Veijola R, Lövgren T, Ilonen J, The TEDDY Study Group
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Immunogenetics Laboratory and MediCity Research Laboratory, University of Turku, Finland. minna.kiviniemi@utu.fi
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