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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.
  3. Altmetric Badge
    Chapter 2 Cross-Linking Immunoprecipitation and qPCR (CLIP-qPCR) Analysis to Map Interactions Between Long Noncoding RNAs and RNA-Binding Proteins.
  4. Altmetric Badge
    Chapter 3 Characterization of Long Noncoding RNA-Associated Proteins by RNA-Immunoprecipitation.
  5. Altmetric Badge
    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.
  11. Altmetric Badge
    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.
  16. Altmetric Badge
    Chapter 15 Assessment of In Vivo siRNA Delivery in Cancer Mouse Models.
  17. Altmetric Badge
    Chapter 16 Targeting Long Noncoding RNA with Antisense Oligonucleotide Technology as Cancer Therapeutics.
  18. Altmetric Badge
    Chapter 17 Characterization of Circular RNAs.
  19. Altmetric Badge
    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 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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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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Citations

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Chapter title
Stellaris(®) RNA Fluorescence In Situ Hybridization for the Simultaneous Detection of Immature and Mature Long Noncoding RNAs in Adherent Cells.
Chapter number 10
Book title
Long Non-Coding RNAs
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3378-5_10
Pubmed ID
Book ISBNs
978-1-4939-3376-1, 978-1-4939-3378-5
Authors

Orjalo, Arturo V, Johansson, Hans E, Arturo V. Orjalo Jr., Hans E. Johansson, Arturo V. Orjalo

Editors

Yi Feng, Lin Zhang

Abstract

RNA fluorescence in situ hybridization (FISH), long an indispensable tool for the detection and localization of RNA, is becoming an increasingly important complement to other gene expression analysis methods. Especially important for long noncoding RNAs (lncRNAs), RNA FISH adds the ability to distinguish between primary and mature lncRNA transcripts and thus to segregate the site of synthesis from the site of action.We detail a streamlined RNA FISH protocol for the simultaneous imaging of multiple primary and mature mRNA and lncRNA gene products and RNA variants in fixed mammalian cells. The technique makes use of fluorescently pre-labeled, short DNA oligonucleotides (circa 20 nucleotides in length), pooled into sets of up to 48 individual probes. The overall binding of multiple oligonucleotides to the same RNA target results in fluorescent signals that reveal clusters of RNAs or single RNA molecules as punctate spots without the need for enzymatic signal amplification. Visualization of these punctate signals, through the use of wide-field fluorescence microscopy, enables the counting of single transcripts down to one copy per cell. Additionally, by using probe sets with spectrally distinct fluorophores, multiplex analysis of gene-specific RNAs, or RNA variants, can be achieved. The presented examples illustrate how this method can add temporospatial information between the transcription event and both the location and the endurance of the mature lncRNA. We also briefly discuss post-processing of images and spot counting to demonstrate the capabilities of this method for the statistical analysis of RNA molecules per cell. This information can be utilized to determine both overall gene expression levels and cell-to-cell gene expression variation.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 19%
Researcher 10 17%
Student > Bachelor 4 7%
Other 4 7%
Student > Doctoral Student 3 5%
Other 10 17%
Unknown 16 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 28%
Agricultural and Biological Sciences 12 21%
Neuroscience 3 5%
Chemistry 2 3%
Medicine and Dentistry 2 3%
Other 5 9%
Unknown 18 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 29 November 2016.
All research outputs
#2,871,453
of 22,836,570 outputs
Outputs from Methods in molecular biology
#566
of 13,126 outputs
Outputs of similar age
#51,554
of 393,564 outputs
Outputs of similar age from Methods in molecular biology
#96
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 87th 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 95% 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 86% 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 93% of its contemporaries.