Tuesday, November 21, 2017
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CONTACTS

Phone: (706) 721-3542

Email: rmcindoe@augusta.edu

Room: CA4124 

Address:

Augusta University
CBGM, 1120 15th Street,
CA4124,
Augusta, GA 30912
MCG Faculty Page


EDUCATION


Ph.D., Immunology and Molecular Pathology, 
University of Florida
 
B.S., Microbiology and Cell Science,
University of Florida
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RICHARD MCINDOE: 
   ASSOCIATE DIRECTOR, CENTER FOR BIOTECHNOLOGY AND GENOMIC MEDICINE
   REGENTS' PROFESSOR, DEPARTMENT OF PATHOLOGY
   GRA Distinguished Scientist
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General Information

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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RESEARCH PROJECTS
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.   
Diabetic Complications Consortium 

Overall Goals:  Diabetic complications consortium (DiaComp) 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... 
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... 
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... 
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... 
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.   
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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PUBLICATIONS
Molecular pathways altered by insulin b9-23 immunization.
Eckenrode SE, Ruan QG, Collins CD, Yang P, McIndoe RA, Muir A, She JX
CBGM, Medical College of Georgia, 1120 15th Street, CA-4124, Augusta, GA 30912, USA.
Microarray experimental design: power and sample size considerations.
Yang MC, Yang JJ, McIndoe RA, She JX
Department of Statistics, University of Florida, Gainesville, Florida 32611, USA. yang@stat.ufl.edu
Gene expression profiling during all-trans retinoic acid-induced cell differentiation of acute promyelocytic leukemia cells.
Yang L, Zhao H, Li SW, Ahrens K, Collins C, Eckenrode S, Ruan QG, McIndoe RA, She JX
Department of Pathology, Immunology, and Laboratory Medicine, University of Florida College of Medicine, Gainesville, Florida 32610, USA. yanglj@pathology.ufl.edu
caBIONet--A .NET wrapper to access and process genomic data stored at the National Cancer Institute's Center for Bioinformatics databases.
Kraj P, McIndoe RA
Institute of Molecular Medicine and Genetics, Medical College of Georgia, Augusta, GA 30912, USA.
Alterations of renal phenotype and gene expression profiles due to protein overload in NOD-related mouse strains.
Wilson KH, McIndoe RA, Eckenrode S, Morel L, Agarwal A, Croker BP, She JX
Center for Biotechnology and Genomic Medicine, Medical College of Georgia, PV6B108, Augusta, GA 30912-2400, USA. Karen.wilson@kmf.gu.se
Gene expression profiles define a key checkpoint for type 1 diabetes in NOD mice.
Eckenrode SE, Ruan Q, Yang P, Zheng W, McIndoe RA, She JX
Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta, Georgia, USA.
Microarray analysis of gene expression in the kidneys of new- and post-onset diabetic NOD mice.
Wilson KH, Eckenrode SE, Li QZ, Ruan QG, Yang P, Shi JD, Davoodi-Semiromi A, McIndoe RA, Croker BP, She JX
Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta, Georgia, USA.
Early pathogenic events associated with Sjögren's syndrome (SjS)-like disease of the NOD mouse using microarray analysis.
Killedar SY, Eckenrode SE, McIndoe RA, She JX, Nguyen CQ, Peck AB, Cha SR, Cha S
Department of Oral Biology, College of Dentistry, University of Florida, Gainesville, FL 32610, USA.
The application of genomic and proteomic technologies in predictive, preventive and personalized medicine.
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
Center for Biotechnology and Genomic Medicine, Medical College of Georgia, 1120 15th Street, CA4124, Augusta, GA 30912-2400, United States.
MADGE: scalable distributed data management software for cDNA microarrays.
McIndoe RA, Lanzen A, Hurtz K
Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville 32610, USA. rmcindoe@mail.mcg.edu
Recipes for creating animal models of diabetic cardiovascular disease.
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
Division of Endocrinology, Diabetes, and Hypertension, The David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
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.
Kiviniemi M, Hermann R, Nurmi J, Ziegler AG, Knip M, Simell O, Veijola R, Lövgren T, Ilonen J, The TEDDY Study Group
Immunogenetics Laboratory and MediCity Research Laboratory, University of Turku, Finland. minna.kiviniemi@utu.fi
The Environmental Determinants of Diabetes in the Young (TEDDY) study: study design.
The TEDDY Study Group
Various
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STUDENTS/STAFF
  Name Role Email Telephone
Sarah Gross Administrative Assistant ssgross@augusta.edu 706-721-3410
Michael Aufiero Research Systems Analyst 2 miaufiero@augusta.edu 706-721-5495
Shan Bai Research Systems Analyst 2 sbai@augusta.edu 706-721-5495
Danilo Guesela Research Systems Analyst 2 dguesela@augusta.edu 706-721-5495
  Jiaqi Li Graduate Student jli@augusta.edu
706-721-5495
  Sarabjot Pabla Graduate Student spabla@augusta.edu
706-721-5495

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