The nucleus of each cell is a complex arrangement of DNA, RNA, and protein that is dynamically organized into various nuclear bodies and compartments that are often arranged around shared functional and regulatory roles. Yet, while many of these nuclear compartments were first identified several decades ago a major challenge with characterizing these compartments is that there are currently no biochemical methods for isolating individual nuclear compartments. Importantly, many nuclear bodies are marked and maintained by nuclear retained long non-coding RNAs (lncRNAs). Here we aim to develop several novel technologies to purify the molecular constituents of nuclear domains and their necessity and sufficiency in forming these compartments. Together these technologies will allow us to systematically address the following questions:
Aim 1 : What are the optimal biochemical conditions in which to specifically and accurately purify specific nuclear bodies and compartments in order to identify their DNA, RNA and protein components? A critical aspect of biochemical purifications is the fine balance between cross-linking conditions that identify direct molecular interactions while not over-crosslinking that could result in indirect interactions. Usin known nuclear compartments such as the nucleolus, nuclear speckles, and paraspeckles we will optimize RAP for isolating DNA-RNA, RNA-RNA, RNA-protein interactions.
We aim to identify universally applicable purification conditions to identify molecular interactions within nuclear and other subcellular structures.
Aim 2 : What are the DNA, RNA and protein factors involved in nuclear compartments? Although most known nuclear bodies are characterized by lncRNAs the other RNA, DNA and protein factors remain less well defined. Here we will develop technologies to catalog the molecular factors that comprise various nuclear bodies. We will further validate these components through colocalization of these components within a nuclear domain using visualization approaches (e.g. RNA-DNA Co-FISH). Overall we aim to apply new technologies to systematic and comprehensive catalog of RNA, DNA and Proteins in nuclear bodies.
Aim 3 : Are lncRNAs and proteins necessary and/or sufficient for nuclear compartmentalization? Here we will develop a novel technology platform, termed CRISPR-Display, which allows long RNA cargos to be appended and delivered by CRISPR-Cas9 systems to a desired site in the genome. We will develop this technology to test if lncRNA molecules are sufficient to drive nuclear organization. We will also use CRISPR-Display to multiplex several RNA aptamers that can be used to recruit proteins (with reciprocal protein epitopes that bind RNA aptamers) and test if they are sufficient to form nuclear compartments. In parallel we will perform loss-of- function approaches to identify protein and or RNA components are required for establishing nuclear domains. Collectively our proposal aims to develop powerful and multifaceted technologies to catalog the molecular components of subnuclear structures, validate these interactions and test their biological importance.

Public Health Relevance

Our research aims to understand a universal problem in human health: how does the genome, which is the same in every cell, acquire diverse identities to produce distinctive cell states. It is becoming increasingly clear that long noncoding RNAs can modulate the way the genome is organized within the nucleus. Here we aim to develop novel technologies to comprehensively catalog the DNA, RNA and Protein components in nuclear structures. These technologies will shed critically insights into how the nucleus is organized and can be used to determine how these organization principles are misregulated in human disease.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01DA040612-03
Application #
9326961
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Satterlee, John S
Project Start
2015-09-01
Project End
2020-08-31
Budget Start
2017-09-01
Budget End
2018-08-31
Support Year
3
Fiscal Year
2017
Total Cost
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