2 edition of Next-generation MicroRNA expression profiling technology found in the catalog.
Next-generation MicroRNA expression profiling technology
Includes bibliographical references and index.
|Statement||edited by Jian-Bing Fan|
|Series||Methods in molecular biology -- 822, Springer protocols, Methods in molecular biology (Clifton, N.J.) -- v. 822., Springer protocols|
|LC Classifications||QP623.5.S63 N49 2012|
|The Physical Object|
|Pagination||xi, 341 p. :|
|Number of Pages||341|
|ISBN 10||1617794260, 1617794279|
|ISBN 10||9781617794261, 9781617794278|
|LC Control Number||2011941789|
The purpose of this workshop is to obtain a thorough understanding on the expression profiling of known microRNAs and the prediction of novel microRNA genes using . In this study, we investigated differentially expressed microRNAs (miRNAs or miRs) and their functions in metastatic melanoma using next-generation sequencing technology. The GSE data set was downloaded from the Gene Expression Omnibus (GEO) database and 4 primary cutaneous melanoma samples (used as controls) and 3 metastatic melanoma Cited by:
MICRORNA (MIRNA) EXPRESSION PROFILING DURING HEPATIC DIFFERENTIATION FROM STEM CELLS. MicroRNAs (miRNA) are key regulators involved in various important biological processes including the regulation of cell cycle, differentiation and development, yet the role of miRNAs in stage of cellular proliferation while differentiating at early developmental phases, particularly in human liver, is . Profiling microRNA (miRNA) expression is of widespread interest given the critical role of miRNAs in many cellular functions. Profiling can be achieved via hybridization-based (microarrays), sequencing-based, or amplification-based (quantitative reverse transcription-PCR, qPCR) by:
The outstanding Oxford Nanopore technology allows sequencing your genome “before dinner”. Among the broad roles gene expression profiling has played in life sciences, it recently has been utilized to functionally characterize biological systems in basic research and discover biomarkers for disease and treatment management in clinical settings. In known microRNA dataset, out of microRNAs, (%) and (%) microRNAs in 40 and μM EGCG treatments respectively exhibited greater than 2 log2 fold change of the putative novel microRNA dataset, out of microRNAs, 4 (%) and 3 (%) microRNAs in 40 and μM EGCG treatments respectively showed Cited by: 5.
Drum Castle, Aberdeenshire.
Neurosis in the ordinary family
The rules and by-laws of the Charlestown Library Society.
Mr. Henry Georges unproved assumption, or, The pauperism of capital
Mission-Embarcadero parking structure
Amex Tg New York R4 (American Express pocket travel guide series)
The art of riding
A 21 centimeter absorber identified with a spiral galaxy
Prison and the pinnacle.
In Next-Generation MicroRNA Expression Profiling Technology: Methods and Protocols, expert researchers in the field contribute detailed examinations of the most current approaches being used today.
This volume includes comprehensive coverage of methodologies that have been developed for miRNA profiling, as well as next-gen sequencing technology. In Next-Generation MicroRNA Expression Profiling Technology: Methods and Protocols, expert researchers in the field contribute detailed examinations of the most current approaches being used today.
This volume includes comprehensive coverage of methodologies that have been developed for miRNA profiling, as well as next-gen sequencing technology Format: Hardcover. Controlling miRNA regulation in disease / Willemijn M.
Gommans and Eugene Berezikov --Introduction to miRNA profiling technologies and cross-platform comparison / Sarah Aldridge and James Hadfield --Stem-loop RT-qPCR for microRNA expression profiling / James Hurley [and others] --Poly(T) adaptor RT-PCR / Rui-Shi [and others] --MicroRNA in situ.
Stanford Libraries' official online search tool for books, media, journals, databases, government documents and more. The rapid pace of microRNA (miRNA) research continues to drive the advances of techniques for miRNA expression profiling, and innovative technologies that are more sensitive, specific, quantitative, and that are compatible with a wide range of biospecimens have Author: Jian-Bing Fan.
Git A, Dvinge H, Salmon-Divon M, Osborne M, Kutter C, Hadfield J, Bertone P, Caldas Next-generation MicroRNA expression profiling technology book () Systematic comparison of microarray profiling, real-time PCR, and next-generation sequencing technologies for measuring differential microRNA expression.
RNA 16(5)– doi: /rna CrossRef PubMedCentral PubMed Google ScholarCited by: Get this from a library. Next-generation MicroRNA expression profiling technology: methods and protocols.
[Jian-Bing Fan;] -- The rapid pace of microRNA (miRNA) research continues to drive the advances of techniques for miRNA expression profiling, and innovative technologies that are more sensitive, specific, quantitative.
Next generation sequencing for profiling expression of miRNAs: technical progress and applications in drug development Jie Liu, 1 Steven F. Jennings, 2 Weida Tong, 3 and Huixiao Hong 3, * 1 University of Arkansas at Little Rock/University of Arkansas for Medical Cited by: MicroRNAs are small non-coding RNA transcripts that regulate post-transcriptional gene expression.
The millions of short sequence reads generated by next generation sequencing technologies make this technique explicitly suitable for profiling of known and novel microRNAs.
A modification to the small-RNA expression kit (SREK, Ambion) library preparation method for the SOLiD sequencing Cited by: Compared to microarray or qPCR-based miRNA exression profiling techniques, next generation sequencing technology offers several advantages, including high sensitivity to measure miRNA levels over a wide dynamic range, ability to identify novel miRNAs and to detect miRNA expression levels in species for which complete genomes are not yet by: Download Citation | MicroRNA Expression Analysis: Next-Generation Sequencing | MicroRNAs are a class of small noncoding RNAs that function as regulators involving in many biological processes.
The Author: Poching Liu. New methods for next generation sequencing based microRNA expression profiling Article (PDF Available) in BMC Genomics 11(1) December with Reads How we measure 'reads'.
Francesca E. Duncan, Richard M. Schultz, in Methods in Enzymology, Abstract. Gene expression profiling using microarray technology is a robust, efficient, and cost-effective approach to assay a cell or tissue's transcriptome at a particular time or under a specific condition.
Application of this technology to oocytes and preimplantation embryos has been limited largely because this. MicroRNA sequencing (miRNA-seq), a type of RNA-Seq, is the use of next-generation sequencing or massively parallel high-throughput DNA sequencing to sequence microRNAs, also called miRNAs.
miRNA-seq differs from other forms of RNA-seq in that input material is often enriched for small RNAs. miRNA-seq allows researchers to examine tissue-specific expression patterns, disease associations. The purpose of this workshop is to obtain a thorough understanding on the expression profiling of known microRNAs and the prediction of novel microRNA genes using next-generation sequencing technologies (NGS).
The participants will be trained to understand both, the data analysis aspects of NGS technologies and the functional implications of.
Next Generation Genome Sequencing: Towards Personalized Medicine. this first single comprehensive resource addresses recent developments in next generation DNA sequencing technology and their impact on genome research, drug discovery and health care. MicroRNA Discovery and Expression Profiling using Next‐Generation Sequencing (Pages.
D’haene, Barbara, Pieter Mestdagh, Jan Hellemans, and Jo Vandesompele. “miRNA Expression Profiling: From Reference Genes to Global Mean Normalization.” In Next-generation microRNA Expression Profiling Technology: Methods and Protocols, ed. Jian-Bing Fan, – New York, NY, USA: Humana by: METHODOLOGY ARTICLE Open Access New methods for next generation sequencing based microRNA expression profiling Henk PJ Buermans1*, Yavuz Ariyurek2, Gertjan van Ommen1, Johan T den Dunnen1,2, Peter AC ’t Hoen1 Abstract Background: MicroRNAs are small non-coding RNA transcripts that regulate post-transcriptional gene expression.
NEXT GENERATION SEQUENCING - TRULY INTEGRATED GENOME ANALYSIS Multiplex Sequencing of Paired End diTags for Transcriptome and Genome Analysis (Ruan) Palaeogenomics using the Sequencing Platform (Gilbert) ChIPSeq: Mapping of Protein-DNA Interactions (Fejes) MicroRNA Discovery and Expression Profiling using Next-generation Sequencing Pages: Keywords:A cells, expression profiling, influenza B virus, microRNAs, Miseq, next-generation sequencing.
Abstract:Background: Influenza B virus causes influenza-like illness in humans. MicroRNAs (miRNAs) are small non-coding RNAs regulating gene expression through mRNA degradation or translational by: 3. • Execute popular open-source microRNA tools (miRanallyzer, miRDeep, etc.) on a Windows machine (using a Linux VM) Scope and Topics The purpose of this workshop is to obtain a thorough understanding on the expression profiling of known microRNAs and the prediction of novel microRNA genes using next-generation sequencing technologies (NGS).
miRNAs play a key role in normal physiology and various diseases. miRNA profiling through next generation sequencing (miRNA-seq) has become the main platform for biological research and biomarker discovery.
However, analyzing miRNA sequencing data is challenging as it needs significant amount of computational resources and bioinformatics by: Next-generation sequencing is increasingly employed in biomedical investigations. Strong concordance between microarray and mRNA-seq levels has been reported in high quality specimens but information is lacking on formalin-fixed, paraffin-embedded (FFPE) tissues, Cited by: