Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Extensive promoter-centered chromatin interactions provide a topological basis for transcription regulation


ABSTRACT: Higher-order chromosomal organization for transcription regulation is poorly understood in eukaryotes. Using genome-wide Chromatin Interaction Analysis with Paired-End-Tag sequencing (ChIA-PET), we mapped long-range chromatin interactions associated with RNA polymerase II in human cells and uncovered widespread promoter-centered intragenic, extragenic, and intergenic interactions. These interactions further aggregated into higher-order clusters, wherein proximal and distal genes were engaged through promoter-promoter interactions. Most genes with promoter-promoter interactions were active and transcribed cooperatively, and some interacting promoters could influence each other implying combinatorial complexity of transcriptional controls. Comparative analyses of different cell lines showed that cell-specific chromatin interactions could provide structural frameworks for cell-specific transcription, and suggested significant enrichment of enhancer-promoter interactions for cell-specific functions. Furthermore, genetically-identified disease-associated noncoding elements were found to be spatially engaged with corresponding genes through long-range interactions. Overall, our study provides insights into transcription regulation by three-dimensional chromatin interactions for both housekeeping and cell-specific genes in human cells. RNA polymerase II (RNAPII) bound chromatin interactions were extracted with Chromatin Interaction Analysis with Paired-End Tag (ChIA-PET) sequencing, in order to study the transcription regulations with RNAPII-associated long-range chromatin interactions. Five cell lines, namely MCF7 (ATCC# HTB-22), K562 (ATCC# CCL-243), HCT116 (ATCC# CCL-247), HeLa (ATCC# CCL-2.2), and NB4 (Roussel and Lanotte, 2001) (provided by Dr. Sherman Weissman, Yale University), were grown under standard culture conditions and harvested at log phase. Harvested cells were cross-linked using 1% formaldehyde followed by neutralization with 0.2M glycine. Chromatin was isolated and subjected to ChIA-PET protocol as described in Fullwood et al (Fullwood et al: An oestrogen-receptor-alpha-bound human chromatin interactome. Nature 2009, 462(7269):58-64). The ChIA-PET sequence reads were processed and analyzed using ChIA-PET Tool (Li et al: ChIA-PET tool for comprehensive chromatin interaction analysis with paired-end tag sequencing. Genome Biol 2010, 11(2):R22).

ORGANISM(S): Homo sapiens

SUBMITTER: Guoliang Li 

PROVIDER: E-GEOD-33664 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Extensive promoter-centered chromatin interactions provide a topological basis for transcription regulation.

Li Guoliang G   Ruan Xiaoan X   Auerbach Raymond K RK   Sandhu Kuljeet Singh KS   Zheng Meizhen M   Wang Ping P   Poh Huay Mei HM   Goh Yufen Y   Lim Joanne J   Zhang Jingyao J   Sim Hui Shan HS   Peh Su Qin SQ   Mulawadi Fabianus Hendriyan FH   Ong Chin Thing CT   Orlov Yuriy L YL   Hong Shuzhen S   Zhang Zhizhuo Z   Landt Steve S   Raha Debasish D   Euskirchen Ghia G   Wei Chia-Lin CL   Ge Weihong W   Wang Huaien H   Davis Carrie C   Fisher-Aylor Katherine I KI   Mortazavi Ali A   Gerstein Mark M   Gingeras Thomas T   Wold Barbara B   Sun Yi Y   Fullwood Melissa J MJ   Cheung Edwin E   Liu Edison E   Sung Wing-Kin WK   Snyder Michael M   Ruan Yijun Y  

Cell 20120101 1-2


Higher-order chromosomal organization for transcription regulation is poorly understood in eukaryotes. Using genome-wide Chromatin Interaction Analysis with Paired-End-Tag sequencing (ChIA-PET), we mapped long-range chromatin interactions associated with RNA polymerase II in human cells and uncovered widespread promoter-centered intragenic, extragenic, and intergenic interactions. These interactions further aggregated into higher-order clusters, wherein proximal and distal genes were engaged thr  ...[more]

Similar Datasets

2009-09-11 | E-GEOD-18046 | biostudies-arrayexpress
2012-10-13 | E-GEOD-41553 | biostudies-arrayexpress
2013-05-22 | E-GEOD-42237 | biostudies-arrayexpress
2013-11-04 | E-GEOD-44067 | biostudies-arrayexpress
2012-01-24 | E-GEOD-32677 | biostudies-arrayexpress
2014-08-21 | E-GEOD-59395 | biostudies-arrayexpress
2012-07-19 | E-GEOD-39495 | biostudies-arrayexpress
| PRJNA263614 | ENA
| PRJNA248406 | ENA
2019-03-07 | GSE90557 | GEO