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Post-Transcriptional Gene Regulation

Overview of attention for book
Cover of 'Post-Transcriptional Gene Regulation'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Bioinformatics Approaches for Studying Untranslated Regions of mRNAs
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    Chapter 2 Identification of mRNA Polyadenylation Sites in Genomes Using cDNA Sequences, Expressed Sequence Tags, and Trace
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    Chapter 3 Bioinformatic Tools for Studying Post-Transcriptional Gene Regulation: The UAlbany TUTR Collection and Other Informatic Resources
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    Chapter 4 In-line probing analysis of riboswitches.
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    Chapter 5 Ribotrap : targeted purification of RNA-specific RNPs from cell lysates through immunoaffinity precipitation to identify regulatory proteins and RNAs.
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    Chapter 6 Advances in RIP-Chip Analysis: RNA-Binding Protein Immunoprecipitation-Microarray Profiling
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    Chapter 7 Biosensors for RNA Aptamers—Protein Interaction
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    Chapter 8 A Tethering Approach to Study Proteins that Activate mRNA Turnover in Human Cells
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    Chapter 9 RNA Analysis by Biosynthetic Tagging Using 4-Thiouracil and Uracil Phosphoribosyltransferase
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    Chapter 10 Efficient 5' Cap-Dependent RNA Purification: Use in Identifying and Studying Subsets of RNA
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    Chapter 11 Enrichment of Alternatively Spliced Isoforms
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    Chapter 12 In Vivo Methods to Assess Polyadenylation Efficiency
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    Chapter 13 Monitoring the Temporal and Spatial Distribution of RNA in Living Yeast Cells
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    Chapter 14 Analysis of mRNA partitioning between the cytosol and endoplasmic reticulum compartments of mammalian cells.
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    Chapter 15 In Vivo and In Vitro Analysis of Poly(A) Length Effects on mRNA Translation
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    Chapter 16 A Ribosomal Density-Mapping Procedure to Explore Ribosome Positions Along Translating mRNAs
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    Chapter 17 Identification of Changes in Gene Expression by Quantitation of mRNA Levels
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    Chapter 18 Application of the Invader® RNA Assay to the Polarity of Vertebrate mRNA Decay
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    Chapter 19 Development of an In Vitro mRNA Decay System in Insect Cells
  21. Altmetric Badge
    Chapter 20 Using Synthetic Precursor and Inhibitor miRNAs to Understand miRNA Function
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    Chapter 21 A Step-by-Step Procedure to Analyze the Efficacy of siRNA Using Real-Time PCR
Attention for Chapter 9: RNA Analysis by Biosynthetic Tagging Using 4-Thiouracil and Uracil Phosphoribosyltransferase
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Chapter title
RNA Analysis by Biosynthetic Tagging Using 4-Thiouracil and Uracil Phosphoribosyltransferase
Chapter number 9
Book title
Post-Transcriptional Gene Regulation
Published in
Methods in molecular biology, January 2008
DOI 10.1007/978-1-59745-033-1_9
Pubmed ID
Book ISBNs
978-1-58829-783-9, 978-1-59745-033-1
Authors

Gusti M. Zeiner, Michael D. Cleary, Ashley E. Fouts, Christopher D. Meiring, Edward S. Mocarski, John C. Boothroyd, Zeiner, Gusti M., Cleary, Michael D., Fouts, Ashley E., Meiring, Christopher D., Mocarski, Edward S., Boothroyd, John C.

Abstract

RNA analysis by biosynthetic tagging (RABT) enables sensitive and specific queries of (a) how gene expression is regulated on a genome-wide scale and (b) transcriptional profiling of a single cell or tissue type in vivo. RABT can be achieved by exploiting unique properties of Toxoplasma gondii uracil phosphoribosyltransferase (TgUPRT), a pyrimidine salvage enzyme that couples ribose-5-phosphate to the N1 nitrogen of uracil to yield uridine monophosphate (UMP). When 4-thiouracil is provided as a TgUPRT substrate, the resultant product is 4-thiouridine monophosphate which can, ultimately, be incorporated into RNA. Thio-substituted nucleotides are not a natural component of nucleic acids and are readily tagged, detected, and purified with commercially available reagents. Thus, one can do pulse/chase experiments to measure synthesis and decay rates and/or use cell-specific expression of the TgUPRT to tag only RNA synthesized in a given cell type. This chapter updates the original RABT protocol (1) and addresses methodological details associated with RABT that were beyond the scope or space allotment of the initial report.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
United States 1 1%
Unknown 73 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 36%
Researcher 21 28%
Professor 4 5%
Professor > Associate Professor 4 5%
Student > Doctoral Student 2 3%
Other 7 9%
Unknown 11 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 43%
Biochemistry, Genetics and Molecular Biology 21 28%
Neuroscience 3 4%
Medicine and Dentistry 2 3%
Computer Science 1 1%
Other 4 5%
Unknown 12 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 February 2014.
All research outputs
#15,294,762
of 22,745,803 outputs
Outputs from Methods in molecular biology
#5,313
of 13,090 outputs
Outputs of similar age
#131,227
of 156,046 outputs
Outputs of similar age from Methods in molecular biology
#64
of 87 outputs
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So far Altmetric has tracked 13,090 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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