Results 1 - 10 of 12,186

A mammalian microRNA expression atlas based on small RNA library sequencing.

by Pablo Landgraf , Mirabela Rusu , Robert Sheridan , Alain Sewer , Nicola Iovino , Alexei Aravin , Sé Bastien Pfeffer , Amanda Rice , Alice O Kamphorst , Markus Landthaler , Carolina Lin , Nicholas D Socci , Leandro Hermida , Valerio Fulci , Sabina Chiaretti , Robin Foà , Julia Schliwka , Uta Fuchs , Astrid Novosel , Roman-Ulrich Mü , Bernhard Schermer , Ute Bissels , Jason Inman , Quang Phan , David B Weir , Ruchi Choksi , Gabriella De Vita , Daniela Frezzetti , Hans-Ingo Trompeter , Veit Hornung , Grace Teng , Gunther Hartmann , Miklos Palkovits , Roberto Di Lauro , Peter Wernet , Giuseppe Macino , Charles E Rogler , James W Nagle , Jingyue Ju , F Nina Papavasiliou , Thomas Benzing , Peter Lichter , Wayne Tam , Michael J Brownstein , Andreas Bosio , James J Russo , Chris Sander , Mihaela Zavolan , Thomas Tuschl - Cell, , 2007
"... SUMMARY MicroRNAs (miRNAs) are small noncoding regulatory RNAs that reduce stability and/or translation of fully or partially sequencecomplementary target mRNAs. In order to identify miRNAs and to assess their expression patterns, we sequenced over 250 small RNA libraries from 26 different organ sy ..."
Abstract - Cited by 418 (4 self) - Add to MetaCart
SUMMARY MicroRNAs (miRNAs) are small noncoding regulatory RNAs that reduce stability and/or translation of fully or partially sequencecomplementary target mRNAs. In order to identify miRNAs and to assess their expression patterns, we sequenced over 250 small RNA libraries from 26 different organ

Molecular classification of cancer: class discovery and class prediction by gene expression monitoring

by T. R. Golub, D. K. Slonim, P. Tamayo, C. Huard, M. Gaasenbeek, J. P. Mesirov, H. Coller, M. L. Loh, J. R. Downing, M. A. Caligiuri, C. D. Bloomfield - Science , 1999
"... Although cancer classification has improved over the past 30 years, there has been no general approach for identifying new cancer classes (class discovery) or for assigning tumors to known classes (class prediction). Here, a generic approach to cancer classification based on gene expression monitori ..."
Abstract - Cited by 1779 (19 self) - Add to MetaCart
Although cancer classification has improved over the past 30 years, there has been no general approach for identifying new cancer classes (class discovery) or for assigning tumors to known classes (class prediction). Here, a generic approach to cancer classification based on gene expression

Functional discovery via a compendium of expression profiles.

by Timothy R Hughes , Matthew J Marton , Allan R Jones , Christopher J Roberts , Roland Stoughton , Christopher D Armour , Holly A Bennett , Ernest Coffey , Hongyue Dai , Ross-Macdonald , Yudong D He , Matthew J Kidd , Amy M King , Michael R Meyer , David Slade , Pek Y Lum , Sergey B Stepaniants , Daniel D Shoemaker , Julian Simon , Martin Bard - Cell, , 2000
"... provided that the cellular transcriptional response to frames encode proteins required for sterol metabodisruption of different steps in the same pathway is lism, cell wall function, mitochondrial respiration, or similar, and that there are sufficiently unique transcripprotein synthesis. We also sh ..."
Abstract - Cited by 547 (9 self) - Add to MetaCart
show that the compendium tional responses to the perturbation of most cellular can be used to characterize pharmacological perturpathways, systematic characterization of novel mutants bations by identifying a novel target of the commonly could be carried out with a single genome-wide expresused drug

Regulation of flowering time and floral organ identity by a MicroRNA and its APETALA2-like target genes

by Milo J. Aukerman, Hajime Sakai, The Plant Cell - Plant Cell , 2003
"... MicroRNAs (miRNAs) are �21-nucleotide noncoding RNAs that have been identified in both animals and plants. Although in animals there is direct evidence implicating particular miRNAs in the control of developmental timing, to date it is not known whether plant miRNAs also play a role in regulating te ..."
Abstract - Cited by 269 (0 self) - Add to MetaCart
MicroRNAs (miRNAs) are �21-nucleotide noncoding RNAs that have been identified in both animals and plants. Although in animals there is direct evidence implicating particular miRNAs in the control of developmental timing, to date it is not known whether plant miRNAs also play a role in regulating

Real-time quantification of microRNAs by stem-loop RT-PCR

by Caifu Chen, Dana A. Ridzon, Adam J. Broomer, Zhaohui Zhou, Danny H. Lee, Julie T. Nguyen, Maura Barbisin, Nan Lan Xu, Vikram R. Mahuvakar, Mark R. Andersen, Kai Qin Lao, Kenneth J. Livak, Karl J. Guegler - Nucleic Acids Res , 2005
"... A novel microRNA (miRNA) quantification method has been developed using stem–loop RT followed by TaqMan PCR analysis. Stem–loop RT primers are better than conventional ones in terms of RT efficiency and specificity. TaqMan miRNA assays are specific for mature miRNAs and discriminate among related mi ..."
Abstract - Cited by 394 (8 self) - Add to MetaCart
A novel microRNA (miRNA) quantification method has been developed using stem–loop RT followed by TaqMan PCR analysis. Stem–loop RT primers are better than conventional ones in terms of RT efficiency and specificity. TaqMan miRNA assays are specific for mature miRNAs and discriminate among related

Identification of Drosophila microRNA targets

by Er Stark, Julius Brennecke, Robert B. Russell, Stephen M. Cohen - PLoS Biol , 2003
"... MicroRNAs (miRNAs) are short RNA molecules that regulate gene expression by binding to target messenger RNAs and by controlling protein production or causing RNA cleavage. To date, functions have been assigned to only a few of the hundreds of identified miRNAs, in part because of the difficulty in i ..."
Abstract - Cited by 103 (5 self) - Add to MetaCart
MicroRNAs (miRNAs) are short RNA molecules that regulate gene expression by binding to target messenger RNAs and by controlling protein production or causing RNA cleavage. To date, functions have been assigned to only a few of the hundreds of identified miRNAs, in part because of the difficulty

Principles of microRNA-target recognition

by Julius Brennecke, Er Stark, Robert B. Russell, Stephen M. Cohen - PLoS Biol , 2005
"... MicroRNAs (miRNAs) are short non-coding RNAs that regulate gene expression in plants and animals. Although their biological importance has become clear, how they recognize and regulate target genes remains less well understood. Here, we systematically evaluate the minimal requirements for functional ..."
Abstract - Cited by 252 (8 self) - Add to MetaCart
MicroRNAs (miRNAs) are short non-coding RNAs that regulate gene expression in plants and animals. Although their biological importance has become clear, how they recognize and regulate target genes remains less well understood. Here, we systematically evaluate the minimal requirements

Ratio-Based Decisions and the Quantitative Analysis of cDNA Microarray Images

by Yidong Chen, Edward R. Dougherty, Michael L. Bittner , 1997
"... Gene expression can be quantitatively analyzed by hybridizing fluor-tagged mRNA to targets on a cDNA microarray. Comparison of gene expression levels arising from cohybridized samples is achieved by taking ratios of average expression levels for individual genes. A novel method of image segmentation ..."
Abstract - Cited by 366 (28 self) - Add to MetaCart
Gene expression can be quantitatively analyzed by hybridizing fluor-tagged mRNA to targets on a cDNA microarray. Comparison of gene expression levels arising from cohybridized samples is achieved by taking ratios of average expression levels for individual genes. A novel method of image

Energy-Aware Wireless Microsensor Networks

by Vijay Raghunathan, Curt Schurgers, Sung Park, Mani Srivastava, Barclay Shaw - IEEE Signal Processing Magazine , 2002
"... This article describes architectural and algorithmic approaches that designers can use to enhance the energy awareness of wireless sensor networks. The article starts off with an analysis of the power consumption characteristics of typical sensor node architectures and identifies the various factors ..."
Abstract - Cited by 302 (1 self) - Add to MetaCart
factors that affect system lifetime. We then present a suite of techniques that perform aggressive energy optimization while targeting all stages of sensor network design, from individual nodes to the entire network. Maximizing network lifetime requires the use of a well-structured design methodology

MicroRNA Involvement in Osteosarcoma

by Eisuke Kobayashi , Francis J Hornicek , Zhenfeng Duan
"... Osteosarcoma (OS) is the most common primary malignant bone tumor, usually arising in the long bones of adolescents and young adults. While our knowledge of the molecular pathogenesis of OS has increased in recent years, we are still far from a comprehensive understanding of the molecular mechanism ..."
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research field, including research on sarcomas. MiRNAs are highly conserved noncoding RNAs which play important roles as oncogenic or suppressive genes to simultaneously regulate multiple targets. Recent genome-wide screening using miRNA expression profiles has identified specific miRNA expression patterns
Results 1 - 10 of 12,186