3CDB: a manually curated database of chromosome conformation capture data

Chromosome conformation capture (3C) is a biochemical technology to analyse contact frequencies between selected genomic sites in a cell population. Its recent genomic variants, e.g. Hi-C/ chromatin interaction analysis by paired-end tag (ChIA-PET), have enabled the study of nuclear organization at an unprecedented level. However, due to the inherent low resolution and ultrahigh cost of Hi-C/ChIA-PET, 3C is still the gold standard for determining interactions between given regulatory DNA elements, such as enhancers and promoters. Therefore, we developed a database of 3C determined functional chromatin interactions (3CDB; http://3cdb.big.ac.cn). To construct 3CDB, we searched PubMed and Google Scholar with carefully designed keyword combinations and retrieved more than 5000 articles from which we manually extracted 3319 interactions in 17 species. Moreover, we proposed a systematic evaluation scheme for data reliability and classified the interactions into four categories. Contact frequencies are not directly comparable as a result of various modified 3C protocols employed among laboratories. Our evaluation scheme provides a plausible solution to this long-standing problem in the field. A user-friendly web interface was designed to assist quick searches in 3CDB. We believe that 3CDB will provide fundamental information for experimental design and phylogenetic analysis, as well as bridge the gap between molecular and systems biologists who must now contend with noisy high-throughput data. Database URL: http://3cdb.big.ac.cn

[1]  Wouter de Laat,et al.  3C-based technologies to study the shape of the genome. , 2012, Methods.

[2]  Chuan Wang,et al.  The 3DGD: a database of genome 3D structure , 2014, Bioinform..

[3]  Ananda L Roy,et al.  Enhancer-promoter communication and transcriptional regulation of Igh. , 2011, Trends in immunology.

[4]  E. Liu,et al.  An Oestrogen Receptor α-bound Human Chromatin Interactome , 2009, Nature.

[5]  Li Teng,et al.  4DGenome: a comprehensive database of chromatin interactions , 2015, Bioinform..

[6]  Chuan Wang,et al.  The 3 DGD : a database of genome 3 D structure , 2014 .

[7]  Jennifer E. Phillips-Cremins,et al.  Architectural Protein Subclasses Shape 3D Organization of Genomes during Lineage Commitment , 2013, Cell.

[8]  W. Sung,et al.  Chromatin connectivity maps reveal dynamic promoter–enhancer long-range associations , 2013, Nature.

[9]  Michael R. Green,et al.  Transcriptional regulatory elements in the human genome. , 2006, Annual review of genomics and human genetics.

[10]  E I Shakhnovich,et al.  [The role of topological limitations in the kinetics of homopolymer collapse and self-assembly of biopolymers]. , 1988, Biofizika.

[11]  William Stafford Noble,et al.  A Three-Dimensional Model of the Yeast Genome , 2010, Nature.

[12]  Neva C. Durand,et al.  A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Looping , 2014, Cell.

[13]  Daniel Capurso,et al.  Reproducibility of 3D chromatin configuration reconstructions. , 2014, Biostatistics.

[14]  Chee Seng Chan,et al.  CTCF-Mediated Functional Chromatin Interactome in Pluripotent Cells , 2011, Nature Genetics.

[15]  W. D. Laat,et al.  A Decade of 3c Technologies: Insights into Nuclear Organization References , 2022 .

[16]  Raymond K. Auerbach,et al.  Extensive Promoter-Centered Chromatin Interactions Provide a Topological Basis for Transcription Regulation , 2012, Cell.

[17]  J. Sedat,et al.  Spatial partitioning of the regulatory landscape of the X-inactivation centre , 2012, Nature.

[18]  Jesse R. Dixon,et al.  Topological Domains in Mammalian Genomes Identified by Analysis of Chromatin Interactions , 2012, Nature.

[19]  Job Dekker,et al.  The three 'C' s of chromosome conformation capture: controls, controls, controls , 2005, Nature Methods.

[20]  H. Chandler Database , 1985 .

[21]  William Stafford Noble,et al.  A statistical approach for inferring the 3D structure of the genome , 2014, Bioinform..

[22]  Tamir Tuller,et al.  Improving 3D Genome Reconstructions Using Orthologous and Functional Constraints , 2015, PLoS Comput. Biol..

[23]  J. Dekker,et al.  Capturing Chromosome Conformation , 2002, Science.

[24]  Li Teng,et al.  4DGenome: a comprehensive database of chromatin interactions , 2015, Bioinform..

[25]  Yan Li,et al.  A high-resolution map of three-dimensional chromatin interactome in human cells , 2013, Nature.

[26]  I. Amit,et al.  Comprehensive mapping of long range interactions reveals folding principles of the human genome , 2011 .

[27]  A. Visel,et al.  Genomic Views of Distant-Acting Enhancers , 2009, Nature.

[28]  Ming Hu,et al.  Bayesian Inference of Spatial Organizations of Chromosomes , 2013, PLoS Comput. Biol..