Research press release


Nature Methods

Sequencing a single cell

次世代配列決定技術を使えば、1個の細胞のトランスクリプトーム(mRNA集団の全体)を解析できることを報告する研究論文が、Nature Methods(電子版)に掲載される。


A Suraniらは、単一細胞の解析にRNA-Seqを用い、4細胞期のマウス胚に由来する個々の細胞と卵母細胞のトランスクリプトーム解析をこれまでになく詳細に行った。


The entire RNA pool, the transcriptome, of an individual cell can be read by next-generation sequencing, reports a study published online in Nature Methods this week.

The transcriptome provides information about the function, regulation and interdependence of active genes. Recently scientists have applied high-throughput sequencing to transcriptome analysis, a method called RNA-Seq, which has led to new insights for instance how much of the genome is transcribed and how many RNA variants of each gene are produced. A limitation of this RNA-Seq approach is that it requires hundreds of thousands of cells.

Azim Surani and colleagues adapted RNA-Seq to the analysis of a single cell and analyzed the transcriptome of an individual mouse cell from a four-cell embryo and of an oocyte in unprecedented detail.

Not only will this technique be important for developmental biology, as it allows the in-depth study of all genes expressed in a single cells during early embryonic development; it will also permit the study of cell heterogeneity in complex tissues and enable analysis of disease development at the single-cell level.

doi: 10.1038/nmeth.1315

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