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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 16: Targeting Long Noncoding RNA with Antisense Oligonucleotide Technology as Cancer Therapeutics.
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  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Chapter title
Targeting Long Noncoding RNA with Antisense Oligonucleotide Technology as Cancer Therapeutics.
Chapter number 16
Book title
Long Non-Coding RNAs
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3378-5_16
Pubmed ID
Book ISBNs
978-1-4939-3376-1, 978-1-4939-3378-5
Authors

Zhou, Tianyuan, Kim, Youngsoo, MacLeod, A Robert, Tianyuan Zhou, Youngsoo Kim, A. Robert MacLeod

Editors

Yi Feng, Lin Zhang

Abstract

Recent annotation of the human transcriptome revealed that only 2 % of the genome encodes proteins while the majority of human genome is transcribed into noncoding RNAs. Although we are just beginning to understand the diverse roles long noncoding RNAs (lncRNAs) play in molecular and cellular processes, they have potentially important roles in human development and pathophysiology. However, targeting of RNA by traditional structure-based design of small molecule inhibitors has been difficult, due to a lack of understanding of the dynamic tertiary structures most RNA molecules adopt. Antisense oligonucleotides (ASOs) are capable of targeting specific genes or transcripts directly through Watson-Crick base pairing and thus can be designed based on sequence information alone. These agents have made possible specific targeting of "non-druggable targets" including RNA molecules. Here we describe how ASOs can be applied in preclinical studies to reduce levels of lncRNAs of interest.

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X Demographics

The data shown below were collected from the profiles of 2 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 17%
Researcher 3 13%
Other 2 9%
Professor > Associate Professor 2 9%
Student > Ph. D. Student 2 9%
Other 4 17%
Unknown 6 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 35%
Agricultural and Biological Sciences 3 13%
Neuroscience 2 9%
Chemistry 2 9%
Unknown 8 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 January 2016.
All research outputs
#15,292,743
of 23,510,717 outputs
Outputs from Methods in molecular biology
#4,891
of 13,362 outputs
Outputs of similar age
#222,759
of 396,837 outputs
Outputs of similar age from Methods in molecular biology
#482
of 1,472 outputs
Altmetric has tracked 23,510,717 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,362 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 58% 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 396,837 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,472 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.