📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Systems Biology of nuclear organization of the genome and non-coding RNAs

Lead Research Organisation: Babraham Institute
Department Name: UNLISTED

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Technical Summary

Until recently it was believed that the only function of DNA was to encode RNA transcripts that were then translated into proteins. However it is now known that 60-90% of the genome is transcribed and less than 10% of the DNA sequence copied into RNA actually functions to make proteins. Many of the non-protein coding transcripts are highly unstable or rare and their function is being investigated. Other non-coding transcripts stably accumulate and appear to function in regulating gene expression over wide areas of the genome. Folding of the genome in three dimensions is also important in determining which parts of the genome are active in different cell types. Our work has shown genome conformation is non random and tissue specific and plays an important role in coordinating transcription of co-regulated and co-functional genes. ncRNAs affect genome conformation and nuclear compartmentalization and therefore influence gene expression. We will investigate nuclear organization and compartmentalization. These experiments will provide important insights into the regulation of the genome with a significant impact on human health.

Planned Impact

unavailable

Publications

10 25 50
publication icon
Chakalova L (2010) Organization of transcription. in Cold Spring Harbor perspectives in biology

publication icon
Cope NF (2010) The yin and yang of chromatin spatial organization. in Genome biology

publication icon
Edelman LB (2012) Transcription factories: genetic programming in three dimensions. in Current opinion in genetics & development

publication icon
Eskiw CH (2010) Transcription factories and nuclear organization of the genome. in Cold Spring Harbor symposia on quantitative biology

publication icon
Kang J (2011) A Dynamical Model Reveals Gene Co-Localizations in Nucleus in PLoS Computational Biology

 
Description Integenic transcription is cell cycle specific. We developed new techniques to map 3D genome organization and chromatin and chromosome folding. These powerful methods are now being applied in other systems.
Exploitation Route Single cell approaches are cerainly worthy of taking up and several others have done so. Capture HiC and promoter capture HiC are generating a lot of interest in industry pharmaceuticals due to the potential to prioritize potential disease genes.
Sectors Pharmaceuticals and Medical Biotechnology

 
Description The findings of this award have led to a greater appreciation of nuclear organization and chromatin and chromosome folding in control of gene expression. For example, big pharma companies are now aware that non-coding variants such as GWAS SNPs may be distal control elements that regulate specific genes that may conribute to disease susceptibility.
First Year Of Impact 2015
Sector Pharmaceuticals and Medical Biotechnology
Impact Types Societal

Economic

 
Description 4D Nucleome consortium, NIH grant
Amount $1,900,000 (USD)
Funding ID NIH 1U01HL129971 - 01 
Organisation National Institutes of Health (NIH) 
Sector Public
Country United States
Start 09/2015 
End 09/2020
 
Description ERC Advanced Grant
Amount € 2,430,000 (EUR)
Organisation European Research Council (ERC) 
Sector Public
Country Belgium
Start 01/2014 
End 12/2019
 
Title Capture Hi-C 
Description Capture Hi-C. We used it to assign long-range regulatory elements to all promoters in mouse and human cell types 
Type Of Material Technology assay or reagent 
Year Produced 2010 
Provided To Others? Yes  
Impact Patent application. Publications 
 
Title Promoter Capture Hi-C 
Description Promoter Capture Hi-C 
Type Of Material Technology assay or reagent 
Year Produced 2010 
Provided To Others? Yes  
Impact Wilson NK, Schoenfelder S, Hannah R, Castillo MS, Schütte J, Ladopoulos V, Mitchelmore J, Goode DK, Calero-Nieto FJ, Moignard V, Wilkinson AC, Jimenez-Madrid I, Kinston S, Spivakov M, Fraser P, Göttgens B. (2016) Integrated genome-scale analysis of the transcriptional regulatory landscape in a blood stem/progenitor cell model. Blood DOI: http://dx.doi.org/10.1182/blood-2015-10-677393 Wingett S, Ewels P, Furlan-Magaril M, Nagano T, Schoenfelder S, Fraser P, Andrews S. (2015) HiCUP: pipeline for mapping and processing Hi-C data F1000Research 4:1310 (doi:10.12688/f1000research.7334.1). Martin P, McGovern A, Orozco G, Duffus K, Yarwood A, Schoenfelder S, Cooper NJ, Barton A, Wallace C, Fraser P, Worthington J, Eyre S (2015) Capture Hi-C reveals novel candidate genes and complex long-range interactions with related autoimmune risk loci. Nature Commun 6:10069. Schoenfelder S, Sugar R, Dimond A, Javierre B-M, Armstrong H, Mifsud B, Dimitrova E, Matheson L, Tavares-Cadete F, Furlan-Magaril M, Segonds-Pichon A, Jurkowski W, Wingett SW, Tabbada K, Andrews S, Herman B, LeProust E, Osborne CS, Koseki H, Fraser P, Luscombe NM, Elderkin S. (2015) Polycomb repressive complex PRC1 spatially constrains the mouse embryonic stem cell genome. Nat Genet. 47, 1179-1186. Mifsud B, Tavares-Cadete F, Young AN, Sugar R, Schoenfelder S, Ferreira L, Wingett SW, Andrews S, Grey W, Ewels PA, Herman B, Happe S, Higgs A, LeProust E, Follows GA, Fraser P, Luscombe NM, Osborne CS (2015) Mapping long-range promoter contacts in human cells with high-resolution capture Hi-C. Nat Genet. 47, 598-606. Pancaldi V, Carrillo-de-Santa-Pau E, Javierre BM, Fraser P, Spivakov M, Valencia A, Rico D (2015) Chromatin assortativity: integrating epigenomic data and 3D genomic structure. arXiv preprint arXiv:1512.00268. Cairns J, Freire-Pritchett P, Wingett SW, Dimond A, Plagnol V, Zerbino D, Schoenfelder S, Javierre B-M, Osborne C, Fraser P, Spivakov M (2015) CHiCAGO: Robust Detection of DNA Looping Interactions in Capture Hi-C Data. bioRxiv, 028068. Mifsud B, Martincorena I, Darbo E, Sugar R, Schoenfelder S, Fraser P, Luscombe N (2015) GOTHiC, a Simple Probabilistic Model to Resolve Complex Biases and to Identify Real Interactions in Hi-C Data. bioRxiv, 023317. Schoenfelder S, Furlan-Magaril M, Mifsud B, Tavares-Cadete F, Sugar R, Javierre B-M, Nagano T, Katsman Y, Sakthidevi M, Wingett SW, Dimitrova E, Dimond A, Edelman LB, Elderkin S, Tabbada K, Darbo E, Andrews S, Herman B, Higgs A, LeProust E, Osborne CS, Mitchell JA, Luscombe NM, Fraser P (2015) The pluripotent regulatory circuitry connecting promoters to their long-range interacting elements. Genome Res 2015:gr.185272.114. Jäger R, Migliorini G, Henrion M, Kandaswamy R, Speedy HE, Heindl A, Whiffin N, Carnicer MJ, Broome L, Dryden N, Nagano T, Schoenfelder S, Enge M, Yuan Y, Taipale J, Fraser P, Fletcher O, Houlston RS (2015) Capture Hi-C (cHi-C) identifies the chromatin interactome of colorectal cancer risk loci. Nat Commun 6:6178. Dryden NH, Broome LR, Dudbridge F, Johnson N, Orr N, Schoenfelder S, Nagano T, Andrews S, Wingett S, Kozarewa I, Assiotis I, Fenwick K, Maguire SL, Campbell J, Natrajan R, Lambros M, Perrakis E, Ashworth A, Fraser P, and Fletcher O. (2014) Unbiased analysis of potential targets of breast cancer susceptibility loci by Capture Hi-C. Genome Res. 24: 1854-1868. 
 
Title Single cell Hi-C 
Description Single cell Hi-C 
Type Of Material Technology assay or reagent 
Year Produced 2013 
Provided To Others? Yes  
Impact Nature paper. Blogs, News articles, tweets 
URL https://www.youtube.com/watch?v=gMYaMQxWMwU