About Data
To elucidate the three-dimensional (3D) chromatin architecture of aging and AD, we performed Hi-C studies on the prefrontal cortex region of post-mortem brain tissue from dementia-free elderly females (aged, n = 4, mean age = 90), female patients with AD (n = 4, mean age = 91.5), and cognitively normal young females (young, mean age = 29). During the sequencing step, two samples were randomly selected from the aged and AD groups to generate 800 million paired-end reads with an estimated resolution of 9000 bp. The other samples were sequenced for 3 billion reads with an estimated resolution of 3000 bp. According to the clustering analysis results, we found that (1) sequencing depth has clear impact on 3D-chromatin architecture profiles; (2) three groups of samples dispaly distinct but weak profiles. To improve resolution, the Hi-C data from the same groups were merged to generated single hi-c data.
About tool
This is a online tool to visualize the Hi-C data of AD, aged and young brain samples. Users can extract the 3D-chromatin architecture information by three ways:
- Browser region: to viusualize the loops within a specific region, which usually spans a long range on one chromosome.
- Customized regions: to visualize the intacting loops among input regions, which are usally small in size, e.g. TF binding sites.
- Promoter/SNPs: to visualize the looped interactions between promoter and AD GWAS SNPs
Contact
If you have any problem to use this tool, please contact menggf @ gmail.com
Citation
TD
Selct the regions
Information To Know
Users can input a hg38 chromosome regions in format of 'chr?:start-end' and visualize all the loops within such region. The displayed information includes interaction heatmap, predicted loops, CRE contacting loops, ATAC-seq signals, H3K27ac peasks and AD GWAS SNPs.
The 'Paramter setting' provides options for altering the displaying results. Among them, 'Mini. num of Contacting loops' defines the cutoff the loops to dispaly. Defaultly, an arbitary cutoff of 30 is set for three samples.
Parameter setting
Mini. num of Contacting loops:
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Region selection
Information To Know
Users can visualize the interaction information among regions. The input regions should be in 'bed' format, which at least include three columns. The loops interactions between region1 and region2 will be displayed. The genome version is hg38
Please note: due to the limited power of our server, please don't upload huge number of regions.
Paramter setting
Minimum Contacting loops:
Loop results
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Gene selection
Information To Know
This section is used to visualize the interaction between promoter and AD GWAS SNPs. Users can specify one gene.
Paramter setting
Minimum Contacting loops:
Promoter-SNP results
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Information To Know
Hi-C data processing
- The raw sequencing data were cleaned with the trimmomatic tool under the default setting.
- The cleaned fastq data were input to HiC-Pro pipeline to generate non-duplicated valid pairs.The UCSC hg38 genome was used for alignments.
- The quality of analysis results in each step was evaluated following the protocol introduced in https://www.encodeproject.org/pipelines/
- The *hic files were transfromed from valid pairs by Hic-Pro tool