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In the MethHC database, 18 kinds of cancer-related DNA methylation, microRNA expression profiles and gene expression profiles are provided, and the data here are from the TCGA database. At the same time, the linear regression method was used to calculate the correlation between methylation and expression profile data.

The data contained in the entire database is summarized as follows:

Compared with other methylation databases, Meth has the following two characteristics:

The data comes from TCGA and contains methylation and gene expression profile data as well as microRNA expression profile data.

The gene is divided into 8 regions and the methylation site is divided into 5 regions. The correlation between methylation and expression profile data is calculated for a single region.

The division of genes and methylation regions is as follows:

Results of comparison with other databases

In Browse Top 250, the methylation and expression of the gene in cancer were examined in a single gene unit.

For methylation data, the expression is measured by beta value; for gene expression profile data, the quantitative way is RPKM; for microRNA expression profile, using RPM quantitative method; the correlation between methylation data and expression profile data is calculated by Poisson correlation coefficient.

Taking SPDYE1 as an example, the results of all gene regions and methylation regions are given.

For each region, the following three results are given

Correlation analysis of methylation data and expression profile data

Correlation analysis of difference multiple between methylation data and expression profile data

Details of gene methylation and RNA_seq data recorded in TCGA database

MethHC also provides the function of gene retrieval Gene Search, which can be screened in two ways.

Gene list

KEGG pathway

Through the MethHC database, we can view the existing results of methylation and expression profiles of genes, and we can also view more hot genes according to the type of cancer.

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