Advancing the health and well-being of animals and people


Principal Investigator: Charles Danko

Baker Institute for Animal Health
Email: cgd24@cornell.edu; Phone: 607-256-5620
Sponsor: NIH-National Human Genome Research Institute (NHGRI)
Grant Number: 1R01HG009309-01
Title: Mapping RNA Polymerase in Tissue Samples with ChRO-seq
Project Amount: $341,325
Project Period: 02/01/17–01/31/18

DESCRIPTION (provided by applicant): Deciphering how complex programs of gene expression and regulation contribute to human disease is one of the major challenges facing the field of genomics. Over the past decade, a wealth of new high-throughput genomics tools have revolutionized how we identify active genomic regions and appear poised to make great strides in understanding the mechanisms of disease. Yet the application of most of these technologies has been limited to established cell lines. Currently, approaches being developed to comprehensively map functional elements across the genome involve combining data from several different genome-wide experimental assays, making them expensive and impractical to use in clinical isolates of limited quantity or even to analyze new cell lines. Compounding these technical difficulties, gene expression is a complex and highly tissue dependent biological process, and many important applications will require the direct interrogation of clinical isolates or other similarly limited sources of sample. Thus, efficient new tools that map the repertoire of functional elements across the genome are likely to transform the biomedical and clinical sciences. We propose to develop Chromatin Run-On and Sequencing (ChRO-seq) and a suite of computational tools for mapping transcription directly in limited tissue samples. Our approach uses a single genome-wide molecular assay to efficiently identify the location of promoters and enhancers, transcription factor binding sites, gene and lincRNA boundaries, transcription levels, and impute certain histone modifications. Preliminary ChRO-seq data reveals patterns of transcription that are virtually identical to those using Precision Run on and Sequencing in cultured cells, but can easily be applied in solid tissue samples. We applied our preliminary ChRO-seq technology to several primary tumors, revealing new insights into how transcriptional regulation underlies cancer development and progression, and providing a key proof-of-concept motivating further technology development. We anticipate that ChRO-seq and the computational methods proposed will enable the efficient discovery of functional elements in virtually any cell sample. In addition, ChRO-seq has the unique advantage that it can be applied in limited tissue samples and clinical isolates even after the
degradation of mRNA.