2011 - Member of the National Academy of Sciences
Genetics, Lin-4 microRNA precursor, microRNA, RNA and Gene silencing are his primary areas of study. His studies in Genetics integrate themes in fields like Computational biology and Cell biology. His Lin-4 microRNA precursor research incorporates themes from Human genome, Argonaute, RISC complex, MiRBase and Dicer.
His research in RISC complex intersects with topics in MiR-212 and Oncomir. His studies deal with areas such as Haematopoiesis, Progenitor cell, Psychological repression, Ribosome profiling and Ectopic expression as well as microRNA. The concepts of his Gene silencing study are interwoven with issues in RNA interference and Gene expression.
His primary areas of study are Genetics, microRNA, RNA, Cell biology and Gene. His works in Gene silencing, Regulation of gene expression, Gene expression, Lin-4 microRNA precursor and Trans-acting siRNA are all subjects of inquiry into Genetics. His microRNA study incorporates themes from Cell type, Small interfering RNA, Psychological repression, Arabidopsis and Computational biology.
His RNA research is multidisciplinary, incorporating perspectives in Molecular biology and DNA ligase. His Cell biology research is multidisciplinary, incorporating elements of Cleavage, RNA interference, Argonaute, Messenger RNA and Translational efficiency. His work in the fields of Gene, such as Untranslated region, Genome, Caenorhabditis elegans and Transcriptome, intersects with other areas such as Conserved sequence.
The scientist’s investigation covers issues in Cell biology, Messenger RNA, microRNA, Computational biology and RNA. His Cell biology study combines topics from a wide range of disciplines, such as Cleavage, Saccharomyces cerevisiae, RNA interference, Argonaute and Translational efficiency. His study in the field of Target mrna also crosses realms of Stem length.
The various areas that David P. Bartel examines in his RNA study include Eukaryotic translation and Regulation of gene expression. A significant part of his Psychological repression research incorporates Gene expression and Genetics studies. David P. Bartel integrates Genetics and Variation in his research.
David P. Bartel focuses on Computational biology, Messenger RNA, microRNA, RNA and Cell biology. His research integrates issues of Genome editing, Guide RNA, Mutagenesis, Vector and Sequence analysis in his study of Computational biology. His work in microRNA tackles topics such as Psychological repression which are related to areas like Regulation of gene expression and Argonaute.
David P. Bartel has researched RNA in several fields, including Translation and Eukaryotic translation. His Cell biology research includes themes of Polyadenylation, Phenotype, In vitro and Endogeny. Cooperativity is a subfield of Genetics that David P. Bartel explores.
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MicroRNAs: Genomics, Biogenesis, Mechanism, and Function
David P Bartel.
MicroRNAs: Target Recognition and Regulatory Functions
David P. Bartel.
Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets
Benjamin P. Lewis;Christopher B. Burge;David P. Bartel.
Most mammalian mRNAs are conserved targets of microRNAs
Robin Carl Friedman;Kyle Kai-How Farh;Christopher B. Burge;David Bartel.
Genome Research (2009)
Prediction of Mammalian MicroRNA Targets
Benjamin P. Lewis;I-hung Shih;Matthew W. Jones-Rhoades;David P. Bartel.
Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs
Lee P. Lim;Nelson C. Lau;Philip Garrett-Engele;Andrew Grimson.
Predicting effective microRNA target sites in mammalian mRNAs
Vikram Agarwal;George W. Bell;Jin Wu Nam;Jin Wu Nam;David P. Bartel.
An Abundant Class of Tiny RNAs with Probable Regulatory Roles in Caenorhabditis elegans
Nelson C. Lau;Lee P. Lim;Earl G. Weinstein;David P. Bartel.
MicroRNA targeting specificity in mammals: determinants beyond seed pairing.
Andrew Grimson;Kyle Kai-How Farh;Wendy K. Johnston;Philip Garrett-Engele.
Molecular Cell (2007)
Mammalian microRNAs predominantly act to decrease target mRNA levels
Huili Guo;Nicholas T. Ingolia;Nicholas T. Ingolia;Jonathan S. Weissman;Jonathan S. Weissman;David P. Bartel.
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