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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