The mission of the Epigenomics Core is to assist investigators in performing specialized epigenomics assays and comprehensive data analyses of these large datasets. Through collaborative efforts with the other Cores of the DRTC, the effects of defined pharmacological, dietary, environmental and genetic alterations are thoroughly characterized for their effects on glucose homeostasis, insulin action, and metabolism. The role of genetic modifications in relevant tissues, such as neurons, hepatocytes, skeletal muscle, adipocytes, beta and immune cells that are related to glucose homeostasis can be directly compared by thorough and definitive experimentation in rodent models. Identification of candidate targets can be functionally confirmed or refuted by the generation of specific mouse models and validated in human populations by comparative analyses in multiple cohorts/populations. Although this is a rapidly developing field, the broad expertise assembled at Einstein's Center for Epigenomics including molecular genetics, bioinformatics and computational biology expertise allows the Epigenomics Core to provide services to DRTC investigators with a wide range of specialized, high quality methodologies and tools relevant to understanding metabolic disease processes. To accomplish these goals, the Epigenomics Core will: 1) make available to investigators specialized high-throughput molecular technological resources including microarray and massively-parallel sequencing platforms to study DNA methylation and chromatin organization;2) provide extensive quality controls and assurance information for all high-throughput assays, generated as part of each analysis;3) provide readily available dedicated systems administrators and programmers, relational database services, high-performance computing resources and data storage/backup systems through the Computational and Statistical Epigenomics Resource and Research Informatics;4) advise investigators regarding the best experimental platforms and protocols to use for the specific biological question being asked;5) disseminate current and new technological development information and foster investigator Interactions through weekly workshops and journal clubs;and 6) provide laboratory training of students, postdoctoral fellows, investigators and technical staff in performing epigenomics methodologies and data analyses. All these services are available to investigators new to diabetes research, as well as to investigators working on diabetes-related projects that can be enriched and extended by the use of the expertise and facilities of this core.

Public Health Relevance

The Epigenomics Core provides cost effective, high quality resources that facilitate the scientific progress made by a large group of scientists committed to improve our understanding of the genetics of diabetes in order to improve the treatment of patients with diabetes.

National Institute of Health (NIH)
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Comprehensive Center (P60)
Project #
Application #
Study Section
Special Emphasis Panel (ZDK1-GRB-2)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Albert Einstein College of Medicine
United States
Zip Code
Lawman, Hannah G; Mallya, Giridhar; Veur, Stephanie Vander et al. (2015) Trends in relative weight over 1 year in low-income urban youth. Obesity (Silver Spring) 23:436-42
Conlon, Beth A; Kahan, Michelle; Martinez, Melissa et al. (2015) Development and Evaluation of the Curriculum for BOLD (Bronx Oncology Living Daily) Healthy Living: a Diabetes Prevention and Control Program for Underserved Cancer Survivors. J Cancer Educ 30:535-45
Lent, Michelle R; Vander Veur, Stephanie; Mallya, Giridhar et al. (2015) Corner store purchases made by adults, adolescents and children: items, nutritional characteristics and amount spent. Public Health Nutr 18:1706-12
Goyal, Akankasha; Nimmakayala, Kameswara Rao; Zonszein, Joel (2014) Is there a paradox in obesity? Cardiol Rev 22:163-70
Beasley, Jeannette M; Gunter, Marc J; LaCroix, Andrea Z et al. (2014) Associations of serum insulin-like growth factor-I and insulin-like growth factor-binding protein 3 levels with biomarker-calibrated protein, dairy product and milk intake in the Women's Health Initiative. Br J Nutr 111:847-53
Cuervo, Ana Maria; Wong, Esther (2014) Chaperone-mediated autophagy: roles in disease and aging. Cell Res 24:92-104
Abdulla, Arian; Zhang, Yi; Hsu, Fu-Ning et al. (2014) Regulation of lipogenic gene expression by lysine-specific histone demethylase-1 (LSD1). J Biol Chem 289:29937-47
Holmes, Michael V; Lange, Leslie A; Palmer, Tom et al. (2014) Causal effects of body mass index on cardiometabolic traits and events: a Mendelian randomization analysis. Am J Hum Genet 94:198-208
Bashiri, Asher; Heo, Hye J; Ben-Avraham, Danny et al. (2014) Pregnancy complicated by obesity induces global transcript expression alterations in visceral and subcutaneous fat. Mol Genet Genomics 289:695-705
Schneider, Jaime L; Suh, Yousin; Cuervo, Ana Maria (2014) Deficient chaperone-mediated autophagy in liver leads to metabolic dysregulation. Cell Metab 20:417-32

Showing the most recent 10 out of 404 publications