Genome-wide transcription analyses in rice using tiling microarrays | |
Li, L ; Wang, XF ; Stolc, V ; Li, XY ; Zhang, DF ; Su, N ; Tongprasit, W ; Li, SG ; Cheng, ZK ; Wang, J ; Deng, XW | |
刊名 | nature genetics |
2006 | |
关键词 | ORYZA-SATIVA L. EXPRESSION ANALYSIS DRAFT SEQUENCE CHROMOSOME-4 GENES ARRAYS |
DOI | 10.1038/ng1704 |
英文摘要 | Sequencing and computational annotation revealed several features, including high gene numbers(1-6), unusual composition of the predicted genes(1,7) and a large number of genes lacking homology to known genes(8,9), that distinguish the rice ( Oryza sativa) genome from that of other fully sequenced model species. We report here a full-genome transcription analysis of the indica rice subspecies using high-density oligonucleotide tiling microarrays. Our results provided expression data support for the existence of 35,970 (81.9%) annotated gene models and identified 5,464 unique transcribed intergenic regions that share similar compositional properties with the annotated exons and have significant homology to other plant proteins. Elucidating and mapping of all transcribed regions revealed an association between global transcription and cytological chromosome features, and an overall similarity of transcriptional activity between duplicated segments of the genome. Collectively, our results provide the first whole-genome transcription map useful for further understanding the rice genome.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000234227200028&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Genetics & Heredity; SCI(E); 98; ARTICLE; 1; 124-129; 38 |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.pku.edu.cn/handle/20.500.11897/399082] |
专题 | 生命科学学院 |
推荐引用方式 GB/T 7714 | Li, L,Wang, XF,Stolc, V,et al. Genome-wide transcription analyses in rice using tiling microarrays[J]. nature genetics,2006. |
APA | Li, L.,Wang, XF.,Stolc, V.,Li, XY.,Zhang, DF.,...&Deng, XW.(2006).Genome-wide transcription analyses in rice using tiling microarrays.nature genetics. |
MLA | Li, L,et al."Genome-wide transcription analyses in rice using tiling microarrays".nature genetics (2006). |
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