H > ¼ºñ½º > Next-Generation Sequencing (NGS) >MeDIP-Seq
MeDIP-Seq
MeDIP-Seq ?
EpigeneticsÀÇ ÇÑ ºÐ¾ßÀÎ methylation Çö»óÀ» ¿¬±¸Çϱâ À§ÇØ ¼ö ¸¹Àº ¹æ¹ýÀÌ °³¹ßµÇ¾î ¿Ô½À´Ï´Ù. MeDIP (Methyl-binding domain-IP)´Â methylated DNA fragment¸¸À» enrichmentÇÏ´Â ¹æ¹ýÀÔ´Ï´Ù.
MeDIP-enriched DNA¸¦ ÀÌ¿ëÇÏ¿© whole genome resequencingÀ» ¼öÇàÇÏ¸é ºñ±³Àû ÀûÀº ºñ¿ëÀ¸·Î methylated DNA¿¡ ´ëÇÑ whole genome profilingÀ» ºÐ¼®ÇÒ ¼ö ÀÖ½À´Ï´Ù.
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- Genome-wide methylation study
- differential methylated region (DMR) Ž»ö
- gene expression data¿Í ¿¬°èÇÑ ÅëÇÕ ºÐ¼®
- cancer biomarker discovery
½ÇÇè Workflow
Bioinformatics ºÐ¼® Workflow
MeDIP-Seq - ½ÇÇè ÁøÇà °úÁ¤
Sample requirements
concentration | Concentration (ng/§¡) | Quality | |
---|---|---|---|
Genomic DNA | > 5§¶ (in general) | > 50 | OD(260/280)>1.8 is highly recommended |
Sequencing Strategy
50 PE (paired ends) sequencing (50 SE, 91 PE and 101 SE/PE sequencing (if needed)) |
Bioinformatic analysis - contents
contents | |
---|---|
1Â÷ ºÐ¼® |
1. Data Filtering 2. Reads Alignment 3. Distribution of Uniquely Mapped Reads 4. Peak Scanning and Genome-wide Distribution |
2Â÷ ºÐ¼® | 5. Difference Analysis of Multi-samples 5.1 Differential Analysis 5.2 GO Enrichment Analysis and KEGG Pathway Analysis 6. Combined Analysis of MeDIP-Seq with small RNA-seq 7. Combined analysis of MeDIP-Seq with mRNA expression data 8. Combined Analysis of MeDIP-Seq with small RNA-seq and mRNA Expression Data |