This Application addresses broad Challenge Area (08), Genomics, and Specific Challenge Topic 08-HG-101 """"""""Technology and resources for high throughput functional analysis of functional elements in genomic sequences"""""""". A two year project is proposed to expand, to exploit, to extend, and to apply on a demonstration basis a completely novel approach to high throughput cis-regulatory analysis. We have very recently developed the initial component of this new technology as a tool for rapid validation of sea urchin embryo gene regulatory network models, and demonstrated its efficacy in facilitating the discovery and in measuring the quantitative activity of previously unknown cis-regulatory modules with a throughput of up to 100x that of traditional methods. The essential principle of this approach is use of sequence-tagged """"""""barcoded"""""""" vectors which can be introduced together in large number in a single experiment and de-convolved later. But there remain many additional spinoffs and additional developments to be brought to practice, and the Challenge Grant program offers the opportunity to mount a """"""""crash program"""""""" and bring these opportunities on line in the immediate future. In addition, the methods we have so far developed measure quantitative cis-regulatory output and not spatial activity. We propose additional technological developments to generate higher quality spatial expression data than obtainable by any other means and a high throughput method of recovering large sets of cis-regulatory modules operating in any given spatial regulatory state.
The specific aims of this proposal include adapting the sequence tag method to NanoString technology to permit simultaneous assessment of activity of >100 different cis-regulatory modules;demonstrate the use of this method to obtain temporal output profiles of large numbers of cis-regulatory modules simultaneously;develop a very high accuracy method of determining spatial expression profiles of unknown cis-regulatory modules by use of NanoString measurements;and tune for general use a high throughput technology for isolating all cis-regulatory modules of a large unknown set which operate in a given time-space domain of the organism. Two additional comments are important: first, there is no a priori reason why these technologies should not be transferrable to any other system in which gene transfer by direct DNA injection is utilized;and second, in order to accomplish these objectives we shall have to build a new research subgroup. This will require hiring additional personnel, and in this respect both the scientific and organizational aspects of the proposal synergize with the objectives of the A.R.R.A. NIH initiative. This work is about finding the causal lines of control that determine how fundamental life processes are executed according to the instructions encoded in the genomic regulatory system. The most powerful approach to general solutions to complex disease states requires solid understanding of their control circuitry. Our practice must get beyond struggling to ameliorate effects rather than altering causes. This research shows the way to discovery of structure and function in causal genomic control systems.

Public Health Relevance

This work is about finding the causal lines of control that determine how fundamental life processes are executed according to the instructions encoded in the genomic regulatory system. The most powerful approach to general solutions to complex disease states requires solid understanding of their control circuitry. Our practice must get beyond struggling to ameliorate effects rather than altering causes. This research shows the way to discovery of structure and function in causal genomic control systems.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
NIH Challenge Grants and Partnerships Program (RC1)
Project #
5RC1HG005332-02
Application #
7935508
Study Section
Special Emphasis Panel (ZRG1-GGG-F (58))
Program Officer
Feingold, Elise A
Project Start
2009-09-22
Project End
2011-12-30
Budget Start
2010-07-01
Budget End
2011-12-30
Support Year
2
Fiscal Year
2010
Total Cost
$469,094
Indirect Cost
Name
California Institute of Technology
Department
Type
Schools of Arts and Sciences
DUNS #
009584210
City
Pasadena
State
CA
Country
United States
Zip Code
91125
Nam, Jongmin; Davidson, Eric H (2012) Barcoded DNA-tag reporters for multiplex cis-regulatory analysis. PLoS One 7:e35934