Table 2 Computational tools and resources for the analyses of noncoding risk locia
From: Molecular mechanisms underlying noncoding risk variations in psychiatric genetic studies
Feature | Description | Significance | Experimental approach | Bioinformatic tools and online resources |
|---|---|---|---|---|
Open chromatin | Nucleosome-depleted chromatin | DNA sequences harboring regulatory signals | DNase-seq, FAIRE sequencing | |
TF-binding prediction | Short DNA consensus recognition sequence characteristic of a particular DNA-binding protein | Computationally predicted TF recognition site | Position weight matrices | |
DNA–protein interaction | Short DNA sequence associated with a DNA-binding protein after precipitation with a specific antibody | Physical protein-nucleic-acid binding | ChIP-seq, DNase footprinting | |
DNA methylation | Methylation of cytosine residues in CpG dinucleotides | Regulation of gene expression | Methylation array, bisulfite sequencing, MeDIP-seq, MRE-seq | MethDB,160, 161 EpiGraph,162 BrainCloudMethyl,163 Fetal brain meQTLs107 |
DNase I hypersensitive sites | Sensitive to cleavage by the DNase I enzyme | DNA sequences harboring regulatory signals | DNase-seq | |
Histone modifications | Specific posttranslational modifications of particular histone protein residues are associated with various regulatory activities | H3K4me1: promoters and enhancers H3K4me3: promoters H3K27ac: active regulatory region H3K9ac: promoters H3K9me1: active chromatin | ChIP-seq | PsychENCODE,113 NRCistrome,159 |
Chromatin interactions | Long-range physical interactions between distal genomic regions | Contact between regulatory motifs, such as tissue-specific enhancers and promoters | 3C, 4C, 5C, Hi-C, ChIA-PET | |
MicroRNA-binding prediction | Short DNA consensus recognition sequence characteristic of a particular microRNA | Computationally predicted microRNA recognition site | Position weight matrices |