Richard McIndoe, Ph.D.

McIndoe

Professor
Associate Director, Center for Biotechnology and Genomic Medicine
Regents Professor, Department of Obstetrics & Gynecology
GRA Distinguished Scientist
Medical College of Georgia
Augusta University, Augusta, GA

Education

Ph.D., Immunology and Molecular Pathology
University of Florida

B.S., Microbiology and Cell Science
University of Florida

Research Interests

The research interests of the McIndoe laboratory are in bioinformatics and computational biology.  Dr. McIndoe’s lab focuses on two broad themes of scientific inquiry.  The first is the management and coordination of NIH funded multicenter consortia as  Data Coordinating Centers.  These projects deal with data integration and management of large scale projects in Mouse Metabolism and Diabetic Complications.  The second focus is in algorithm development for the analysis of high-throughput molecular data to provide biological insight into basic biology and disease processes.

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.  


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


 

Graduate STudents

Current

 
JIAQI  LI
 JIAQI LI

 
Undergraduate: Nankai University, China
 
 Class: 2015
Project: Bio-Information model of cancer related to drug resistance.
706-721-5495
email 

 

 

 

 

 

 

 

 

 

 

 

 

Graduated

 
 Ashok Sharma
 Ashok Sharma

 Project: An Integrative Genomics Approach Identifies Key Pathways and MicroRNA Networks Associated with Leptin-Mediated Weight Loss.


 
Graduated: Spring 2011 
 
Simarjot Pabla
 Simarjot Pabla

 Project: Assessment of molecular networks in autoimmune diseases.
 
Graduated: Spring 2016 
 
SARABJOT PABLA
SARABJOTPABLA

 Project: Development of strategies to evaluate the genomic methylation patterns in disease.
 
Graduated: Fall 2016

 


Laboratory Staff

 
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 Michael Aufiero 

 Computer Programmer
706-721-5495
 email 
 
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 Danilo Guesela 

 Computer Programmer 
706-721-5495 
 email 
 
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 Tatsiana Faminova
 

 Research Information Analyst
706-721-5495
 email