The Proteomics Core at Augusta University is a resource facility for the characterization and expression level quantitation of proteins (isolated or in an extract) and small molecules/metabolites by mass spectrometry (MS) and/or chromatography.

The Proteomics Core is operated by the Center for Biotechnology and Genomic Medicine in conjunction with the Georgia Cancer Center. Services are available to all campus investigators as well as off campus investigators. Services offered by the facility include protein identification, labeled and label-free comparative proteomics by Orbitrap mass spectometry, protein/small molecule quantification using targeted mass spectometry (PRM and SRM/MRM mass spectometry), high throughput protein immune-protein assays (384-well Luminex/ELISA assay), etc.

Contact Us

Proteomics Core

Health Sciences Campus

Georgia Cancer Center - M. Bert Storey Research Building

CN4162

706-721-0601

Equipment and Resources

Select image for expanded view

Thermo Orbitrap Fusion™ Tribrid™ Mass Spectrometer external-link icon

Thermo Scientific TSQ Quantiva Triple-Quadrupole Mass Spectrometer external-link icon

Agilent 6520 Accurate-Mass Quadrupole Time-of-Flight MS external-link icon

Agilent 6470B Triple Quadrupole LC/MS System external-link icon

Shimadzu Gas Chromatograph Mass Spectrometer (GCMS-TQ8050 NX) external-link icon

Shimadzu Nexera UHPLC external-link icon

Bio-techne Ella Automated Immunoassay System external-link icon

 

 

Services

Area Analysis Type Service Equipment
Proteomics Untargeted/shotgun analysis Fast protein identification with LC-MS/LS Orbitrap Fusion
Proteomics Untargeted/shotgun analysis Comparative proteomic analysis (Label-free/spctral counting) Orbitrap Fusion
Proteomics Untargeted/shotgun analysis Comparative proteomic analysis (TMT/SILAC labeling) Orbitrap Fusion
Proteomics Untargeted/shotgun analysis PTM characterization (phosphorylation, acetylation, etc.) Orbitrap Fusion
Proteomics Untargeted/shotgun analysis Glycoproteome characterization Orbitrap Fusion
Proteomics Targeted analysis Peptide quantification using PRM TSQ or LC-TQ
Proteomics Targeted analysis Peptide quantification using PRM Orbitrap Fusion
Metabolomics Untargeted/shotgun analysis High resolution metabolome charaterization Q-TOF or Orbitrap Fusion
Metabolomics Untargeted/shotgun analysis GC-MS charaterization of metabolome GC-MS
Metabolomics Targeted analysis Compounds/metabolites quantification (relative or absolute) TSQ or LC-TQ

Meet the Team

photo of Richard McIndoe, PhD

Richard McIndoe, PhD

  • Professor
  • Director

706-721-3410

Dr. McIndoe received his Ph.D. in immunology and molecular pathology in 1991 from the University of Florida. In 1992, Dr. McIndoe received a Postdoctoral Fellowship to study with Dr. Leroy Hood at the University of Washington in the Department of Molecular Biotechnology. During this five year fellowship, Dr. McIndoe developed his interest in genomics, biotechnology, bioinformatics and automation, culminating in the development of a number of high throughput technologies to automate the genotyping process necessary for complex disease linkage analysis. Following this fellowship, Dr. McIndoe took a senior research scientist position at CuraGen Corporation to develop a high throughput full length cloning facility. In 1999 he returned to academia as an Assistant Professor in the Department of Pathology at the University of Florida where his laboratory focused entirely on bioinformatics and computational biology. In 2002, Dr. McIndoe moved to Augusta University in Augusta, GA as the Associate Director and one of three founding members of the newly created Center for Biotechnology and Genomic Medicine. Over the last 20 years at AU, Dr. McIndoe has been the Director of the Data Coordinating Centers for four national NIH consortia; the Animal Models of Diabetic Complications, the Mouse Metabolic Phenotyping Centers, the Diabetic Complications Consortium and the Innovative Science Accelerator Program. He is currently a tenured full professor in the Medical College of Georgia, College of Graduate Studies and the College of Allied Health Sciences and Director of the Center for Biotechnology and Genomic Medicine.

photo of Wenbo Zhi, PhD

Wenbo Zhi, PhD

  • Associate Professor
  • Manager

706-721-3508

Dr. Wenbo Zhi received his bachelor degree in Biochemistry from Wuhan University and his Ph.D. degree in Biochemical Engineering from the Chinese Academy of Sciences. He completed his postdoctoral training on proteomic biomarker development for human diseases using LC-MS based technologies at the Center for Biotechnology and Genomic Medicine of Augusta University. After being promoted to assistant professor in 2011, he took the responsibility of managing the Proteomic and Mass Spectrometry Core Facility at Augusta University. In 2022, Dr. Zhi is appointed as the manager of the new consolidated Proteomics and Mass Spectrometry core lab under the leadership of Dr. Richard McIndoe. Dr. Zhi has a broad background and extensive experiences in biochemistry with specific expertise in proteomics, metabolomics, mass spectrometry, high-throughput protein assays, HPLC, etc. Dr. Zhi has been actively involved in the collaboration research on different research topics with both on-campus and off-campus scientists, in addition to his own research on the development of proteomic and metabolomic biomarker development for human diseases, including chronical kidney disease in diabetic patients and acute kidney disease in pre-term infants.

photo of Wei Xiao, PhD

Wei Xiao, PhD

  • Staff

706-721-0601

Dr. Xiao earned his Master’s degree in Biochemistry and Molecular Biology from Hubei University, and PhD in Immunology from Wuhan University, China. He has completed his postdoctoral training in the areas of cancer biology and cancer immunology in Georgia Cancer Center. Dr. Xiao has a 3-year research experience in China National Human Liver Proteomics Projects (HLPP) for protein-protein interaction. Dr. Xiao is also interested in the identification of small molecule metabolites, the screening of peptide libraries, and proteomics- & metabolomics-related data analysis.