概要
エピジェネティクス分野で最先端を進んできたZymoResearch社の次世代シークエンシングを用いたエピジェネティクス解析受託サービスです。
* 任意の遺伝子配列に対してバイサルファイトシークエンシングを行う受託サービス
「MethylCheck Targeted Sequencing for DNA Methylation Analysis」については、
こちらをご覧ください。
*各種メチル化解析受託サービス、創薬支援サービスをまとめてご紹介したエピジェネティクスカタログ<受託サービス>ページについては
こちらをご覧ください。
特長
- Whole Genome解析
全ゲノムにおけるメチル化状態(Methylome)を把握できる唯一のサービス(Methyl-MaxiSeq)
- Genome Wide解析
・DNAメチル化(5-mC)を捉えるClassic RRBS解析、およびCoverageを上げたMethyl-MiniSeqサービスを用意
- Methyl-Mini Seq解析の測定カバー率(fig.1)
| 個数 | 網羅率(%) |
CpG部位 | ~1,500,000 | - |
遺伝子のプロモーター | >18,400 | ≧75 |
CpGアイランド | >22,950 | ≧80 |
Browser Tracks |
Result Tables |
Hexbin Plot |
Genomic Region Pie Chart |
Clustering Heatmap |
|
|
|
|
|
|
Region Coverage Pie Chart |
Methylation Level Boxplot |
Methylation Overview |
Read Coverage Plot |
|
|
|
|
|
|
参考文献
- Barua S, et al. (2014) Single-base resolution of mouse offspring brain methylome reveals epigenome modifications caused by gestational folic acid. Epigenetics Chromatin. 7(1):3. doi: 10.1186/1756-8935-7-3.
- Diede SJ, et al. (2013) Fundamental differences in promoter CpG island DNA hypermethylation between human cancer and genetically engineered mouse models of cancer. Epigenetics. 8(12): 1254-1260.
- MacQuarrie KL, et al. (2013) Comparison of genome-wide binding of MyoD in normal human myogenic cells and rhabdomyosarcomas identifies regional and local suppression of promyogenic transcription factors. Mol Cell Biol. 33(4):773-84.
- Vicente-Dueñas C, et al. (2012) A novel molecular mechanism involved in multiple myeloma development revealed by targeting MafB to haematopoietic progenitors. EMBO J. 31(18):3704-17.
サービスの種類
|
5-mC |
Genome Wide |
Whole Genome |
Classic RRBS |
Methyl-MiniSeq |
Methyl-MaxiSeq |
Capable with low DNA input? |
Yes |
Yes |
Yes |
Single-base Resolution? |
Yes |
Yes |
Yes |
Methylome Coverage* |
1.5~2million sites |
3~4million sites |
Entire methylome |
Quantitative Analysis? |
Yes |
Yes |
Yes |
Genomic Regions covered |
Nearly all CpG islands and gene promoters |
Twice as many unique CpG sites compared to Classic RRBS |
Entire methylome |
Notes |
Efficient genome-wide analysis |
Robust biomarker discovery |
Complete methylation analysis |
*calculation based on human genome
*depends on capture efficiency and methylation levels