CRC Promoter capture Hi-C

Genome organisation determines chromosome interactions between regulatory elements, such as promoters and enhancers, influencing gene expression. Despite the fact that it is possible to assess whether a gene is actively transcribed, it has been challenging to point out the genomic regions that are involved in the regulation of a particular gene. We are interested in better understanding the interactions between promoters and their regulatory elements in colorectal cancer in order to unveil novel non-coding regions which might have a role in tumour development. To do so, we utilise the HiC method complemented with promoter capture in combination with NGS to map promoter interactions in two CRC cell lines, representing two distinct CRC subtypes.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

2 Datasets 4 Publications

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001003257	Hi-C and promoter capture Hi-C data for HT29 and LoVo. 2 replicates per cell line for the Hi-C. 3 replicates per cell line for the CHi-C.	Illumina HiSeq 2000	2
EGAD00001003258	ChIPseq data for H3K4me1 and H3K9me3 in HT29; H3K4me1, H3K27me3, H3K9me3, H3K36me3 in LoVo.	Illumina HiSeq 2000	2

Publications	Citations
Promoter capture Hi-C-based identification of recurrent noncoding mutations in colorectal cancer. Orlando G, Law PJ, Cornish AJ, Dobbins SE, Chubb D, Broderick P, Litchfield K, Hariri F, Pastinen T, Osborne CS, Taipale J, Houlston RS. Nat Genet 50: 2018 1375-1380	37
The Identification and Interpretation of cis-Regulatory Noncoding Mutations in Cancer. Patel MB, Wang J. High Throughput 8: 2018 E1	4
Association analyses identify 31 new risk loci for colorectal cancer susceptibility. Law PJ, Timofeeva M, Fernandez-Rozadilla C, Broderick P, Studd J, Fernandez-Tajes J, Farrington S, Svinti V, Palles C, Orlando G, Sud A, Holroyd A, Penegar S, Theodoratou E, Vaughan-Shaw P, Campbell H, Zgaga L, Hayward C, Campbell A, Harris S, Deary IJ, Starr J, Gatcombe L, Pinna M, Briggs S, Martin L, Jaeger E, Sharma-Oates A, East J, Leedham S, Arnold R, Johnstone E, Wang H, Kerr D, Kerr R, Maughan T, Kaplan R, Al-Tassan N, Palin K, Hänninen UA, Cajuso T, Tanskanen T, Kondelin J, Kaasinen E, Sarin AP, Eriksson JG, Rissanen H, Knekt P, Pukkala E, Jousilahti P, Salomaa V, Ripatti S, Palotie A, Renkonen-Sinisalo L, Lepistö A, Böhm J, Mecklin JP, Buchanan DD, Win AK, Hopper J, Jenkins ME, Lindor NM, Newcomb PA, Gallinger S, Duggan D, Casey G, Hoffmann P, Nöthen MM, Jöckel KH, Easton DF, Pharoah PDP, Peto J, Canzian F, Swerdlow A, Eeles RA, Kote-Jarai Z, Muir K, Pashayan N, PRACTICAL consortium, Harkin A, Allan K, McQueen J, Paul J, Iveson T, Saunders M, Butterbach K, Chang-Claude J, Hoffmeister M, Brenner H, Kirac I, Matošević P, Hofer P, Brezina S, Gsur A, Cheadle JP, Aaltonen LA, Tomlinson I, Houlston RS, Dunlop MG. Nat Commun 10: 2019 2154	131
Algorithmic considerations when analysing capture Hi-C data. Disney-Hogg L, Kinnersley B, Houlston R. Wellcome Open Res 5: 2020 289	4