Gene silencing and other regulatory processes guided by small RNAs are important additions to the known repertoire of biological control mechanisms. Both the total number and biological function of small RNA gene products are still largely unknown, especially in mammals. It is plausible, based on recent experiments and predictions, that there are many more non-coding RNAs than have been discovered to date and that these may be involved in regulating transcription, splicing, translation, and chromatin modification. Discovery of the complement of small RNAs, their biological functions and disease implications is therefore an important aim in molecular cell biology. Our overall aim is to help unravel the molecular details of regulatory control by small RNAs, with focus on mammals, and to develop tools for the prediction of the functional effects of this control. We will use computational means, including algorithms, software, databases and complete genome sequences, working closely with the experimental laboratories of our collaborators. We will start with the systematic and broad experimental capture of small RNA profiles and the detection and validation of target genes of small RNAs. We then plan to put small RNAs and their regulatory targets into the context of known pathways, providing a rich unified network information resource. Using this resource we will (i) analyze and predict the consequences of changes in small RNAs, their control regions and their targets, (ii) facilitate the design of focussed validation experiments and (iii) lay the foundations for the development of clinical applications. Specific areas of investigation will be the immune system and type 2 diabetes. During the course of this research, we will construct detailed regulatory networks of small RNAs and associated biological effects including: transcriptional control of small RNA production, gene silencing by translational inhibition or degradation of transcripts, and chromatin modification. We propose to organize and analyze this information in the context of the growing corpus of structured pathway data for genes, proteins, interactions and reactions in mammalian cells. For each of the specific aims we will facilitate dissemination and application of the results of the program project by making available in the public domain both software and information resources.
Specific Aims : a) Profiles: Build a data annotation pipeline for small RNA profiling of mammalian cells, b) Targets: Develop computational methods for the identification and validation of the functional targets of small RNAs. c) Networks: Construct regulatory networks involving small RNAs, d) Function: Analyze the function of small RNAs and the consequences of genetic variation.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Program Projects (P01)
Project #
5P01GM073047-04
Application #
7571665
Study Section
Special Emphasis Panel (ZRG1)
Project Start
Project End
Budget Start
2008-02-01
Budget End
2009-01-31
Support Year
4
Fiscal Year
2008
Total Cost
$362,542
Indirect Cost
Name
Rockefeller University
Department
Type
DUNS #
071037113
City
New York
State
NY
Country
United States
Zip Code
10065
Nakanishi, Kotaro; Ascano, Manuel; Gogakos, Tasos et al. (2013) Eukaryote-specific insertion elements control human ARGONAUTE slicer activity. Cell Rep 3:1893-900
Skalsky, Rebecca L; Corcoran, David L; Gottwein, Eva et al. (2012) The viral and cellular microRNA targetome in lymphoblastoid cell lines. PLoS Pathog 8:e1002484
Rajasethupathy, Priyamvada; Antonov, Igor; Sheridan, Robert et al. (2012) A role for neuronal piRNAs in the epigenetic control of memory-related synaptic plasticity. Cell 149:693-707
Farazi, Thalia A; Horlings, Hugo M; Ten Hoeve, Jelle J et al. (2011) MicroRNA sequence and expression analysis in breast tumors by deep sequencing. Cancer Res 71:4443-53
Hafner, Markus; Renwick, Neil; Brown, Miguel et al. (2011) RNA-ligase-dependent biases in miRNA representation in deep-sequenced small RNA cDNA libraries. RNA 17:1697-712
Gottwein, Eva; Corcoran, David L; Mukherjee, Neelanjan et al. (2011) Viral microRNA targetome of KSHV-infected primary effusion lymphoma cell lines. Cell Host Microbe 10:515-26
Lipchina, Inna; Elkabetz, Yechiel; Hafner, Markus et al. (2011) Genome-wide identification of microRNA targets in human ES cells reveals a role for miR-302 in modulating BMP response. Genes Dev 25:2173-86
Hafner, Markus; Landthaler, Markus; Burger, Lukas et al. (2010) Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP. Cell 141:129-41
Hafner, Markus; Landthaler, Markus; Burger, Lukas et al. (2010) PAR-CliP--a method to identify transcriptome-wide the binding sites of RNA binding proteins. J Vis Exp :
Betel, Doron; Koppal, Anjali; Agius, Phaedra et al. (2010) Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites. Genome Biol 11:R90

Showing the most recent 10 out of 20 publications