Large non-coding RNAs (lncRNAs) comprise a newly recognized class of thousands of functional RNA molecules that play important roles in a wide variety of cellular pathways. These lncRNAs can have significant effects on gene expression, and are involved in controlling regulatory networks critical for cellular growth and differentiation. Many lncRNAs are important players in human diseases, especially human cancers. An emerging hypothesis is that lncRNAs regulate gene expression and cellular function by binding functional protein complexes to organize and coordinate their activities. However, a main challenge in understanding the mechanisms of lncRNA-mediated regulation of gene expression and cellular function has been a lack of knowledge of their protein interaction partners. To address this research bottleneck, I have developed a method to comprehensively define the proteins that directly interact with a lncRNA, termed RNA Antisense Purification with Mass Spectrometry (RAP-MS). This method has so far been highly successful in identifying direct and specific interaction partners of several cellular RNAs, including Xist lncRNA, 18S ribosomal RNA, U1 small nuclear RNA, and 45S pre-ribosomal RNA. In the proposed work I will use RAP-MS to identify the functional protein interactors of three lncRNAs (Tsix, Neat1, and Malat1) then identify the interacting regions of lncRNAs and proteins and create detailed high resolution structural models of lncRNA and protein complexes. Dissection of the sequence determinants of lncRNA-protein interactions at the level of nucleotide and amino acid interactions will lead to an improved understanding of the mechanisms of action of lncRNAs in controlling gene expression and regulating cellular function at a molecular level. The goals of this study are to identify direct and specific lncRNA-interacting proteins using RAP-MS (Aim 1), determine the functions of lncRNA-interacting proteins (Aim 2), and dissect the molecular structure of lncRNA- protein complexes (Aim 3). Taken together, the results of these experiments will reveal how lncRNAs bind and coordinate proteins into higher-order complexes to achieve their roles in regulating gene expression and cellular function. An understanding of functional lncRNA-protein interactions at the level of amino acid and nucleotide interactions will provide insight into the mechanisms of action of lncRNAs and reveal molecular principles guiding lncRNA-protein assembly. In addition, identification of the underlying principles of lncRNA- protein function at a detailed molecular level will lead to new opportunities to control and manipulate the action of non-coding RNAs in mammalian cells during the initiation and progression of cancer and other disease processes.

Public Health Relevance

Large non-coding RNAs (lncRNAs) are a newly recognized class of thousands of functional RNA molecules. Many lncRNAs have been shown to control gene expression and some are associated with cancer progression. This work will examine the details of how lncRNAs can bind to proteins to achieve these outcomes, and will lay the foundation for research on new methods of controlling lncRNA function.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Career Transition Award (K99)
Project #
1K99GM120494-01
Application #
9165109
Study Section
Special Emphasis Panel (ZGM1-TWD-A (KR))
Program Officer
Flicker, Paula F
Project Start
2016-09-01
Project End
2018-08-31
Budget Start
2016-09-01
Budget End
2017-08-31
Support Year
1
Fiscal Year
2016
Total Cost
$90,000
Indirect Cost
$6,667
Name
California Institute of Technology
Department
Type
Schools of Arts and Sciences
DUNS #
009584210
City
Pasadena
State
CA
Country
United States
Zip Code
91125
McHugh, Colleen A; Guttman, Mitchell (2018) RAP-MS: A Method to Identify Proteins that Interact Directly with a Specific RNA Molecule in Cells. Methods Mol Biol 1649:473-488