Leukemia, one of the top 10 most frequently occurring cancers in all races and ethnicities, is characterized by the aberrant activity of oncogenic transcription factors that lead to impaired hematopoietic differentiation. Systematic characterization of the transcriptional regulatory network controlling the hematopoietic lineage will enable us to understand the role of pathogenic changes, improve diagnosis, and discover new therapeutic targets. Very recent studies in human hematopoiesis from our laboratory show that hundreds of transcription factors participate in orchestrating hematopoiesis, including 30 that were found in translocations in leukemia. However, due to the limitations of current assays (e.g. chromatin immunoprecipitation assay, ChIP), deciphering the direct connections between these transcription factors and their targets remains an elusive goal. Here, I will build a comprehensive physical regulatory network of 100 lineage specific and malignancy-related transcription factors in the four main terminally differentiated human hematopoietic cell populations, by employing a novel, high throughput ChIP-seq assay developed by our laboratory. I will use computational algorithms to construct a predictive functional regulatory model that integrates the physical binding network with the gene expression profiles it controls. Together with gene expression profiles measured from patient's samples, the model will be used to predict malignant transcriptional regulatory circuits. Finally, I will validate and refine he model using expression profiles from knockdowns of selected key transcription factors. This study will substantially enhance our understanding of hematopoietic differentiation and leukemia pathogenesis, towards personalized diagnoses and therapeutics.

Public Health Relevance

A hallmark of the pathogenesis of leukemia is the aberrant expression of oncogenic transcription factors that leads to impaired hematopoietic differentiation and the development of cancer. Understanding the transcriptional regulatory circuits underlying normal and malignant hematopoietic differentiation is thus important for improved diagnoses and therapies. Utilizing a novel, high throughput chromatin immunoprecipitation technology developed by our laboratory, I will provide the first comprehensive transcriptional regulatory map of the human hematopoietic differentiation, particularly of transcription factors that has been identified as aberrant in leukemia;we believe, this study will substantially enhance our understanding of hematopoietic differentiation and leukemia pathogenesis.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Postdoctoral Individual National Research Service Award (F32)
Project #
5F32CA168253-02
Application #
8453523
Study Section
Special Emphasis Panel (ZRG1-F09-D (20))
Program Officer
Jakowlew, Sonia B
Project Start
2012-04-01
Project End
2015-03-31
Budget Start
2013-04-01
Budget End
2014-03-31
Support Year
2
Fiscal Year
2013
Total Cost
$49,214
Indirect Cost
Name
Broad Institute, Inc.
Department
Type
DUNS #
623544785
City
Cambridge
State
MA
Country
United States
Zip Code
02142