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Báo cáo y học: "Digital expression profiling of novel diatom transcripts provides insight into their biological functions"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Wertheim cung cấp cho các bạn kiến thức về ngành y đề tài: Digital expression profiling of novel diatom transcripts provides insight into their biological functions. | Maheswari et al. Genome Biology 2010 11 R85 http genomebiology.eom 2010 11 8 R85 Genome Biology RESEARCH Open Access Digital expression profiling of novel diatom transcripts provides insight into their biological functions 1.2 1.3 3 3 1.41 5t Uma Maheswari 1 1 Kamel Jabbari 11 Jean-Louis Petit1 Betina M Porcel 1 Andrew E Allen 1 11 Jean-Paul Cadoret Ạ Iocc2nrl KO rìo K io ri inr 1t lo YI I IoiiHo1t Pun monrl kW c5t II 111 21 I -J Dr tf ho t D-jcr-ol I I r if iO 71t Alessandra De Martino 1 Marc neijde 1 Raymond Kaas 1 Julie La Roche 1 rascal J Lopez 1 óromiriiio l I o rf i m IÓ 7Ó 1 Iiol7t K loir-honin 11 TH TO KYITỉc l I r lz819t I i 7-0 Cl I o HtoiỳvloK DoK I Or8t A rr-T -Jrr í1110t veronique Martin Jezequel 1 Agnes Meichenin 1 Ihomas Mock 1 Micaela Schnitzler Parker 1 Assai vardi 1 E Virginia Armbrust81 Jean Weissenbach31 Michael Katinka31 Chris Bowler1 Abstract Background Diatoms represent the predominant group of eukaryotic phytoplankton in the oceans and are responsible for around 20 of global photosynthesis. Two whole genome sequences are now available. Notwithstanding1 our knowledge of diatom biology remains limited because only around half of their genes can be ascribed a function based onhomology-based methods. High throughput tools are needed1 therefore1 to associate functions with diatom-specific genes. Results We have performed a systematic analysis of 13O1OOO ESTs derived from Phaeodactylum tricornutum cells grown in 16 different conditions. Ihese include different sources of nitrogen1 different concentrations of carbon dioxide1 silicate and iron1 and abiotic stresses such as low temperature and low salinity. Based on unbiased statistical methods1 we have catalogued transcripts with similar expression profiles and identified transcripts differentially expressed in response to specific treatments. Functional annotation of these transcripts provides insights into expression patterns of genes involved in various metabolic and regulatory pathways and into