کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5907655 | 1160132 | 2008 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Dynamic covariation between gene expression and genome characteristics
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کلمات کلیدی
BCRNCBITCrDNA - DNA یا اسید دزوکسی ریبونوکلئیکSOM - WHOEST - استCodon usage - استفاده کدونdeoxyribonucleic acid - اسید deoxyribonucleicRNA - اسید ریبونوکلئیکribonucleic acid - اسید ریبونوکلئیکGene expression patterns - الگوهای بیان ژنNucleotide composition - ترکیب نوکلئوتیدExpressed Sequence Tag - تکرار اظهار نظرCbi - سیبیThe National Center for Biotechnology Information - مرکز ملی بیوتکنولوژی اطلاعاتSelf-organizing map - نقشه خودسازماندهB cell receptor - گیرنده سلول B
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
ژنتیک
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Gene and protein expression is controlled so that cells can react to changing intra- and extracellular signals by modulating biochemical networks and pathways. We have previously shown that gene expression and the properties of expressed proteins are dynamically correlated. Here we investigated correlations between gene related parameters and gene expression patterns, and found statistically significant correlations in microarray datasets for different cell types, organisms and processes, including human B and T cell stimulation, cell cycle in HeLa cells, infection in intestinal epithelial cells, Drosophila melanogaster life span, and Saccharomyces cerevisiae cell cycle. Our method was applied to time course datasets individually for each time point. We derived from sequence information numerous parameters for nucleotide composition, two-base composition, codon usage, skew parameters, and codon bias. In addition to coding regions, we also investigated correlations for complete genes and introns. Significant dynamic correlations were identified for each of the analyses. Our method also proved useful for detecting dynamic shifts in gene expression profiles, such as in the D. melanogaster dataset. Detection of changes in the properties of expressed genes and proteins might be useful for predicting or following biological processes, responses, growth, differentiation and possibly in related disorders.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Gene - Volume 410, Issue 1, 29 February 2008, Pages 53-66
Journal: Gene - Volume 410, Issue 1, 29 February 2008, Pages 53-66
نویسندگان
Teemu Kivioja, Timo Tiirikka, Markku Siermala, Mauno Vihinen,