Noncoding RNAs (ncRNAs) are now believed to be transcribed pervasively in the genome, and large numbers of ncRNAs have been identified. However, disproportionally, we still know very little about their functional roles. Many of the known ncRNA functions were inferred by perturbation experiments, which lack the details of what specific target an ncRNA interact with. Technologies like CLIP/RIP-Seq have provided tremendous insights of what kind of ncRNA the protein factors associated, and ChIRP-Seq have generated the chromatin loci for some ncRNAs to interact with, which have suggested that in particular long non-coding RNAs (lncRNAs) are involved in epigenomic regulation of gene expression and chromatin modeling. However, current methods are limited to examine ncRNA or interacting target one at a time. It is desirable to have an unbiased genome-wide strategy to identify the functional targets for all ncRNAs. We hypothesize that if an ncRNA had an epigenetic regulatory role in the nuclear space, it would have to either directly or indirectly interact with chromatin at certain locations in chromosomes, in which functions take place for modulating chromatin states and target gene activity. Hence, we propose to develop a new technology to globally map ncRNA-chromatin interactions through RNA-DNA ligation followed by paired-end-tag sequencing (R&D-PET). In brief, this method includes three main parts: 1) chromatin crosslinking to capture all molecular interaction events between RNA, DNA and proteins in vivo; 2) ligation of the tethered interactive RNA and the chromatin DNA fragment through specifically designed RNA linker and DNA linker oligos; 3) sequencing and mapping analysis of the RNA-DNA ligation products to localize ncRNAs' transcription sites and their chromatin target sites in the genome. We also realize that this RNA-DNA ligation approach can be applied to study RNA-protein interaction at specific chromatin locations. Thus a ChIP-based R&D-PET method could provide additional specificity of RNA-protein- chromatin interaction information. We have developed a prototype protocol for R&D-PET analysis, and have generated some promising preliminary data from human cells. In this proposal, we plan to further refine the R&D-PET method through systematic optimizations of key experimental conditions and improvement of bioinformatic analysis pipeline. We also plan to apply this method to comprehensively characterize the ncRNA- chromatin interactomes for a number of established human cell lines and stem cells derived from individual cancer patients. The successful development of this method will significantly increase our capability of investigating the immense complex world of RNA functions in regulating the output of the genome, and the successful completion of the proposed characterization of RNA-chromatin interactomes would provide a comprehensive chromatin address book for most of ncRNA species, which would add another dimension of genomic information to help understand how the genome functions in healthy and disease conditions.

Public Health Relevance

The proposed study will identify novel non-coding RNAs (ncRNAs) and the interactions between ncRNAs and their target DNAs. Since ncRNAs are associated with diseases such as cancers, such novel ncRNAs and ncRNA target DNAs have the potential to be diagnostic biomarkers and novel genomic therapeutic targets for disease, which would improve public health in general.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA186714-02
Application #
8827738
Study Section
Genomics, Computational Biology and Technology Study Section (GCAT)
Program Officer
Mietz, Judy
Project Start
2014-04-01
Project End
2017-03-31
Budget Start
2015-04-01
Budget End
2016-03-31
Support Year
2
Fiscal Year
2015
Total Cost
Indirect Cost
Name
Jackson Laboratory
Department
Type
DUNS #
042140483
City
Bar Harbor
State
ME
Country
United States
Zip Code
Menghi, Francesca; Barthel, Floris P; Yadav, Vinod et al. (2018) The Tandem Duplicator Phenotype Is a Prevalent Genome-Wide Cancer Configuration Driven by Distinct Gene Mutations. Cancer Cell 34:197-210.e5
Vian, Laura; P?kowska, Aleksandra; Rao, Suhas S P et al. (2018) The Energetics and Physiological Impact of Cohesin Extrusion. Cell 173:1165-1178.e20
Li, Zhaomin; Zhang, Peng; Yan, Aimin et al. (2017) ASXL1 interacts with the cohesin complex to maintain chromatid separation and gene expression for normal hematopoiesis. Sci Adv 3:e1601602
Rowley, M Jordan; Nichols, Michael H; Lyu, Xiaowen et al. (2017) Evolutionarily Conserved Principles Predict 3D Chromatin Organization. Mol Cell 67:837-852.e7
Li, Xingwang; Luo, Oscar Junhong; Wang, Ping et al. (2017) Long-read ChIA-PET for base-pair-resolution mapping of haplotype-specific chromatin interactions. Nat Protoc 12:899-915
Li, Peng; Mitra, Suman; Spolski, Rosanne et al. (2017) STAT5-mediated chromatin interactions in superenhancers activate IL-2 highly inducible genes: Functional dissection of the Il2ra gene locus. Proc Natl Acad Sci U S A 114:12111-12119
Sza?aj, Przemys?aw; Tang, Zhonghui; Michalski, Paul et al. (2016) An integrated 3-Dimensional Genome Modeling Engine for data-driven simulation of spatial genome organization. Genome Res 26:1697-1709
Szalaj, Przemyslaw; Michalski, Paul J; Wróblewski, Przemys?aw et al. (2016) 3D-GNOME: an integrated web service for structural modeling of the 3D genome. Nucleic Acids Res 44:W288-93
Thibodeau, Asa; Márquez, Eladio J; Luo, Oscar et al. (2016) QuIN: A Web Server for Querying and Visualizing Chromatin Interaction Networks. PLoS Comput Biol 12:e1004809
Ricaño-Ponce, Isis; Zhernakova, Daria V; Deelen, Patrick et al. (2016) Refined mapping of autoimmune disease associated genetic variants with gene expression suggests an important role for non-coding RNAs. J Autoimmun 68:62-74

Showing the most recent 10 out of 16 publications