共查询到20条相似文献,搜索用时 15 毫秒
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Weaver DB Anzola JM Evans JD Reid JG Reese JT Childs KL Zdobnov EM Samanta MP Miller J Elsik CG 《Genome biology》2007,8(6):R97
Background
Non-coding microRNAs (miRNAs) are key regulators of gene expression in eukaryotes. Insect miRNAs help regulate the levels of proteins involved with development, metabolism, and other life history traits. The recently sequenced honey bee genome provides an opportunity to detect novel miRNAs in both this species and others, and to begin to infer the roles of miRNAs in honey bee development. 相似文献3.
Koichi Murata Hiroyuki Yoshitomi Shimei Tanida Masahiro Ishikawa Kohei Nishitani Hiromu Ito Takashi Nakamura 《Arthritis research & therapy》2010,12(3):R86
Introduction
MicroRNAs (miRNAs), endogenous small noncoding RNAs regulating the activities of target mRNAs and cellular processes, are present in human plasma in a stable form. In this study, we investigated whether miRNAs are also stably present in synovial fluids and whether plasma and synovial fluid miRNAs could be biomarkers of rheumatoid arthritis (RA) and osteoarthritis (OA). 相似文献4.
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Jie Lian Xiansheng Zhang Hui Tian Ning Liang Yong Wang Chaozhao Liang Xin Li Fei Sun 《Reproductive biology and endocrinology : RB&E》2009,7(1):13-10
Background
MicroRNAs (miRNAs), a class of small non-coding RNA molecules, are indicated to play essential roles in spermatogenesis. However, little is known about the expression patterns or function of miRNAs in human testes involved in infertility. 相似文献6.
Genesio M Karere Jeremy P Glenn John L VandeBerg Laura A Cox 《Journal of biomedical science》2010,17(1):54
Background
MicroRNAs (miRNAs) are small noncoding RNAs (~22 nucleotides) that regulate gene expression by cleaving mRNAs or inhibiting translation. The baboon is a well-characterized cardiovascular disease model; however, no baboon miRNAs have been identified. Evidence indicates that the baboon and human genomes are highly conserved; based on this conservation, we hypothesized that comparative genomic methods could be used to identify baboon miRNAs. 相似文献7.
Zhidong Yuan Xiao Sun Dongke Jiang Yan Ding Zhiyuan Lu Lejun Gong Hongde Liu Jianming Xie 《BMC evolutionary biology》2010,10(1):346
Background
MicroRNAs (miRNAs) are a class of short regulatory RNAs encoded in the genome of DNA viruses, some single cell organisms, plants and animals. With the rapid development of technology, more and more miRNAs are being discovered. However, the origin and evolution of most miRNAs remain obscure. Here we report the origin and evolution dynamics of a human miRNA family. 相似文献8.
Weiwu Jin Jason R Grant Paul Stothard Stephen S Moore Le Luo Guan 《BMC molecular biology》2009,10(1):90
Background
MicroRNAs (miRNAs) are a family of ~22 nucleotide small RNA molecules which regulate gene expression by fully or partially binding to their complementary sequences in mRNAs or promoters. A large number of miRNAs and their expression patterns have been reported in human, mouse and rat. However, miRNAs and their expression patterns in live stock species such as beef cattle are not well studied. 相似文献9.
Background
MicroRNAs (miRNAs) are a class of important gene regulators. The number of identified miRNAs has been increasing dramatically in recent years. An emerging major challenge is the interpretation of the genome-scale miRNA datasets, including those derived from microarray and deep-sequencing. It is interesting and important to know the common rules or patterns behind a list of miRNAs, (i.e. the deregulated miRNAs resulted from an experiment of miRNA microarray or deep-sequencing). 相似文献10.
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Edyta Koscianska Vesselin Baev Konstantinia Skreka Katerina Oikonomaki Ventsislav Rusinov Martin Tabler Kriton Kalantidis 《BMC molecular biology》2007,8(1):79
Background
MicroRNAs (miRNAs) are one of the most abundant groups of regulatory genes in multicellular organisms, playing important roles in many fundamental cellular processes. More than four hundred miRNAs have been identified in humans and the deregulation of miRNA expression has been also shown in many cancers. Despite the postulated involvement of miRNAs in tumourigenesis, there are only a few examples where an oncogene or a tumour suppressor has been identified as a miRNA target. 相似文献14.
Almir S Zanca Renato Vicentini Fausto A Ortiz-Morea Luiz EV Del Bem Marcio J da Silva Michel Vincentz Fabio TS Nogueira 《BMC plant biology》2010,10(1):260
Background
MicroRNAs (miRNAs) are small regulatory RNAs, some of which are conserved in diverse plant genomes. Therefore, computational identification and further experimental validation of miRNAs from non-model organisms is both feasible and instrumental for addressing miRNA-based gene regulation and evolution. Sugarcane (Saccharum spp.) is an important biofuel crop with publicly available expressed sequence tag and genomic survey sequence databases, but little is known about miRNAs and their targets in this highly polyploid species. 相似文献15.
Erika Varkonyi-Gasic Nick Gould Manoharie Sandanayaka Paul Sutherland Robin M MacDiarmid 《BMC plant biology》2010,10(1):159
Background
Plant microRNAs (miRNAs) are a class of small, non-coding RNAs that play an important role in development and environmental responses. Hundreds of plant miRNAs have been identified to date, mainly from the model species for which there are available genome sequences. The current challenge is to characterise miRNAs from plant species with agricultural and horticultural importance, to aid our understanding of important regulatory mechanisms in crop species and enable improvement of crops and rootstocks. 相似文献16.
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Stephen F Madden Susan B Carpenter Ian B Jeffery Harry Björkbacka Katherine A Fitzgerald Luke A O'Neill Desmond G Higgins 《BMC bioinformatics》2010,11(1):257
Background
MicroRNAs (miRNAs) are non-coding RNAs that regulate gene expression by binding to the messenger RNA (mRNA) of protein coding genes. They control gene expression by either inhibiting translation or inducing mRNA degradation. A number of computational techniques have been developed to identify the targets of miRNAs. In this study we used predicted miRNA-gene interactions to analyse mRNA gene expression microarray data to predict miRNAs associated with particular diseases or conditions. 相似文献18.
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Alberto Biscontin Silvia Casara Stefano Cagnin Lucia Tombolan Angelo Rosolen Gerolamo Lanfranchi Cristiano De Pittà 《BMC molecular biology》2010,11(1):44