Back to Main

Faculty Detail Faculty Entry   
Name JOHN L. HARTMAN, IV  
Campus Address KAUL 702 Zip 0024
Phone 205-996-4195
E-mail jhartman@uab.edu" id="FacultyDetail1EmailAddress"><a href="mailto:jhartman@uab.edu">jhartman@uab.edu</a>
URL
 
 

Department Affiliations(s)
Appointment Type Department Division Rank
Center  Arthritis & Musculoskeletal Diseases Center  Arthritis & Musculoskeletal Diseases Center Associate Professor
Center  Center for Aging  Center for Aging Associate Professor
Center  Comprehensive Cancer Center  Comprehensive Cancer Center Associate Professor
Center  Medicine  Comprehensive Diabetes Ctr Associate Professor
Center  General Clinical Research Center  Ctr for Clinical & Translational Sci Associate Professor
Center  Cystic Fibrosis Research Center  Cystic Fibrosis Research Center Associate Professor
Center  Neurology   Neuro-Oncology Center Associate Professor
Primary  Genetics   Genetics Research Div Associate Professor
Secondary  Biochemistry & Molecular Genetics  Biochemistry & Molecular Genetics Assistant Professor
Secondary  Medicine  Med - Hematology & Oncology Assistant Professor
First Prev 12of  2  Next Last

Biographical Sketch 
John Hartman received a B.S. in Zoology from Duke University in 1989, and an M.D. from UAB in 1995. He completed Internal Medicine Residency and Hematology Fellowship at the University of Washington and Fred Hutchinson Cancer Research Center in Seattle, WA from 1997-2001. Past research experience has been with Max Cooper (UAB, Immunology), George Philips (Duke, Hematology), Eric Sorshcer (UAB, Cystic Fibrosis), John Northup (NIH, G-protein Signaling), and Lee Hartwell (Fred Hutchinson Cancer Research Center, Yeast Genetics). Past awards include a Howard Hughes Medical Institute (HHMI) Research Fellowship for Medical Students, HHMI Research Fellowship for Physician-Scientists, NIH K08 Career Development Award, HHMI Early Career Award for Physician-Scientists, and American Cancer Society Research Scholar Grant.

Society Memberships
Organization Name Position Held Org Link
American Assoc. for the Advancement of Science (AAAS)  Member  http://www.aaas.org/ 
Cancer Molecular Therapeutics Research Association (CMTRA)  Member  http://www.cancermoleculartherapeutics.org/ 
Genetics Society of America (GSA)  Member  http://www.genetics-gsa.org/ 
 

Research/Clinical Interest
Title
Quantitative analysis of genotype-phenotype interaction networks in yeast models of human disease
Description
Biological systems are robust, having the capacity to maintain relatively stable phenotypic outputs over a range of perturbing genetic and environmental inputs. Genetic buffering refers to gene activities within a cell that confer phenotypic stability in a particular context. Genetic interactions, defined whenever the phenotype resulting from a chemical or genetic perturbation is dependent upon a particular gene, reveal buffering; examples being chemical sensitivity or synthetic lethality. Research in the lab is focused on global, quantitative analysis of genetic interactions, and understanding how the structure of interaction networks reflects the global organization of gene circuitry that provides cellular robustness.

To measure gene interaction globally, we perturb an array of ~5000 isogenic yeast deletion strains, and use cell proliferation as a phenotypic readout to quantify the interacting effects between the perturbation and deletion at each locus. By varying the type and intensity of perturbation, the resulting selectivity and strengths of interaction are determined, revealing the relative buffering specificity of each gene. Using gene annotation and other bioinformatics resources to analyze the quantitative patterns of gene interaction, testable hypotheses are generated to further understand the molecular basis of the observed interaction networks.

Genes that interact (exacerbate or compensate) with a known genetic or environmental disease-susceptibility factor can act as disease modifiers, contributing to complex disease traits. Systematic, comprehensive, quantitative understanding of how genetic buffering and cellular robustness are achieved in the highly tractable yeast model system is a strategy for understanding complex genotype-phenotype relationships that may exist generally for eukaryotic cells. The Hartman laboratory has developed novel methodologies for the type of global, quantitative analysis of genetic interactions described above, and these are being applied to understand robustness against perturbations that contribute to cancer and other diseases.

Dr. Hartman has GBS affiliations with:
Genetics & Genomic Sciences (GGS)
Cell, Molecular, & Developmental Biology (CMDB)
Biochemistry & Structural Biology (BSB)

Postdoc Positions Available
Date Posted Position Title
No records
 

Selected Publications 
Publication PUBMEDID
Mai D, Jones J, Rodgers JW, Hartman JL, Kutsch O, Steyn AJ. A Screen to Identify Small Molecule Inhibitors of Protein-Protein Interactions in Mycobacteria. Assay Drug Dev Technol 2011.  21281130 
Gao S, Hartman IV JL, Carter JL, Hessner MJ, Wang X. Global analysis of phase locking in gene expression during cell cycle: the potential in network modeling. BMC Syst Biol 2010;4:167.  21129191 
Guo, J., Tian, D., McKinney, B.A., and Hartman, J.L. (2010). Recursive expectation-maximization clustering: a method for identifying buffering mechanisms composed of phenomic modules. Chaos 20, 026103.  20590332 
Copic A, Dorrington M, Pagant S, Barry J, Lee MC, Singh I, Hartman IV JL, Miller EA: Genomewide analysis reveals novel pathways affecting endoplasmic reticulum homeostasis, protein modification and quality control. Genetics 2009, 182(3):757-769.  19433630 
Singh I, Pass R, Togay SO, Rodgers JW, Hartman IV JL: Stringent Mating-Type-Regulated Auxotrophy Increases the Accuracy of Systematic Genetic Interaction Screens with Saccharomyces cerevisiae Mutant Arrays. Genetics 2009, 181(1):289-300.  18957706 
Mani, R., St Onge, R.P., Hartman IV, J.L., Giaever, G. & Roth, F.P. (2008) Defining genetic interaction. Proc Natl Acad Sci U S A.  18305163 
Hartman IV JL (2007). Buffering of deoxyribonucleotide pool homeostasis by threonine metabolism. Proc Natl Acad Sci U S A.  17606896 
Jones J, Rodgers J, Heil M, May J, White L, Maddry JA, Fletcher TM, Shaw GM, Hartman JL, Kutsch O: High throughput drug screening for human immunodeficiency virus type 1 reactivating compounds. Assay Drug Dev Technol 2007, 5(2):181-190.  17477827 
Shah, N.A,, Laws, R.J., Wardman, B, Zhao, L.P., Hartman IV, J.L. (2007) Accurate, precise modeling of cell proliferation kinetics from time-lapse imaging and automated image analysis of agar yeast culture arrays. BMC Systems Biology 2007, 1:3.  17408510 
Hartman IV, J.L. and Nic Tippery (2004) Systematic quantification of gene interactions by phenotypic array analysis. Genome Biology 5(7):R49.  15239834 
First Prev   1 2 of  2  Next Last  

Keywords
yeast genetics, gene interaction networks, dNTP metabolism, systems biology, drug discovery, lab automation

© 2003 University of Alabama School of Medicine. Copyright Information. UAB Disclaimer.
Contact the MEIS Help Desk if you experience problems with this site.