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Long Non-Coding RNAs

Overview of attention for book
Cover of 'Long Non-Coding RNAs'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 LncRNA Pulldown Combined with Mass Spectrometry to Identify the Novel LncRNA-Associated Proteins.
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    Chapter 2 Cross-Linking Immunoprecipitation and qPCR (CLIP-qPCR) Analysis to Map Interactions Between Long Noncoding RNAs and RNA-Binding Proteins.
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    Chapter 3 Characterization of Long Noncoding RNA-Associated Proteins by RNA-Immunoprecipitation.
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    Chapter 4 Isolation of Protein Complexes Associated with Long Noncoding RNAs.
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    Chapter 5 Profiling Long Noncoding RNA Expression Using Custom-Designed Microarray.
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    Chapter 6 Long Noncoding RNA Expression Profiling Using Arraystar LncRNA Microarrays.
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    Chapter 7 Nuclear RNA Isolation and Sequencing.
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    Chapter 8 Targeted LncRNA Sequencing with the SeqCap RNA Enrichment System.
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    Chapter 9 ChIP-Seq: Library Preparation and Sequencing.
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    Chapter 10 Stellaris(®) RNA Fluorescence In Situ Hybridization for the Simultaneous Detection of Immature and Mature Long Noncoding RNAs in Adherent Cells.
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    Chapter 11 Simultaneous RNA-DNA FISH.
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    Chapter 12 Visualizing Long Noncoding RNAs on Chromatin.
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    Chapter 13 Non-isotopic Method for In Situ LncRNA Visualization and Quantitation.
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    Chapter 14 Detection of Long Noncoding RNA Expression by Nonradioactive Northern Blots.
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    Chapter 15 Assessment of In Vivo siRNA Delivery in Cancer Mouse Models.
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    Chapter 16 Targeting Long Noncoding RNA with Antisense Oligonucleotide Technology as Cancer Therapeutics.
  18. Altmetric Badge
    Chapter 17 Characterization of Circular RNAs.
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    Chapter 18 Methods for Characterization of Alternative RNA Splicing.
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    Chapter 19 NONCODEv4: Annotation of Noncoding RNAs with Emphasis on Long Noncoding RNAs.
  21. Altmetric Badge
    Chapter 20 Computational Analysis of LncRNA from cDNA Sequences.
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    Chapter 21 Analyzing MiRNA-LncRNA Interactions.
  23. Altmetric Badge
    Chapter 22 Long Noncoding RNAs: An Overview.
Attention for Chapter 8: Targeted LncRNA Sequencing with the SeqCap RNA Enrichment System.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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Chapter title
Targeted LncRNA Sequencing with the SeqCap RNA Enrichment System.
Chapter number 8
Book title
Long Non-Coding RNAs
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3378-5_8
Pubmed ID
Book ISBNs
978-1-4939-3376-1, 978-1-4939-3378-5
Authors

Tan, John C, Bouriakov, Venera D, Feng, Liang, Richmond, Todd A, Burgess, Daniel, John C. Tan, Venera D. Bouriakov, Liang Feng, Todd A. Richmond, Daniel Burgess

Editors

Yi Feng, Lin Zhang

Abstract

Sequencing-based whole-transcriptome analysis (i.e., RNA-Seq) can be a powerful tool when used to measure gene expression, detect novel transcripts, characterize transcript isoforms, and identify sequence polymorphisms. However, this method can be inefficient when the goal is to study only one component of the transcriptome, such as long noncoding RNAs (lncRNAs), which constitute only a small fraction of transcripts in a total RNA sample. Here, we describe a target enrichment method where a total RNA sample is converted to a sequencing-ready cDNA library and hybridized to a complex pool of lncRNA-specific biotinylated long oligonucleotide capture probes prior to sequencing. The resulting sequence data are highly enriched for the targets of interest, dramatically increasing the efficiency of next-generation sequencing approaches for the analysis of lncRNAs.

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X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 47%
Other 2 13%
Student > Ph. D. Student 2 13%
Student > Doctoral Student 1 7%
Lecturer > Senior Lecturer 1 7%
Other 2 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 40%
Agricultural and Biological Sciences 5 33%
Neuroscience 2 13%
Computer Science 1 7%
Engineering 1 7%
Other 0 0%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 06 January 2016.
All research outputs
#3,189,028
of 22,836,570 outputs
Outputs from Methods in molecular biology
#736
of 13,126 outputs
Outputs of similar age
#58,041
of 393,564 outputs
Outputs of similar age from Methods in molecular biology
#129
of 1,470 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,126 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 393,564 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 1,470 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.