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CRISPR

Overview of attention for book
Cover of 'CRISPR'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Investigating CRISPR RNA Biogenesis and Function Using RNA-seq.
  3. Altmetric Badge
    Chapter 2 In Vitro Co-reconstitution of Cas Protein Complexes.
  4. Altmetric Badge
    Chapter 3 Analysis of CRISPR Pre-crRNA Cleavage
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    Chapter 4 Annotation and Classification of CRISPR-Cas Systems.
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    Chapter 5 Computational Detection of CRISPR/crRNA Targets
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    Chapter 6 High-Throughput CRISPR Typing of Mycobacterium tuberculosis Complex and Salmonella enterica Serotype Typhimurium.
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    Chapter 7 Spacer-Based Macroarrays for CRISPR Genotyping
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    Chapter 8 Analysis of crRNA Using Liquid Chromatography Electrospray Ionization Mass Spectrometry (LC ESI MS).
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    Chapter 9 Rapid Multiplex Creation of Escherichia coli Strains Capable of Interfering with Phage Infection Through CRISPR.
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    Chapter 10 Exploring CRISPR Interference by Transformation with Plasmid Mixtures: Identification of Target Interference Motifs in Escherichia coli
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    Chapter 11 CRISPR
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    Chapter 12 Expression and Purification of the CMR (Type III-B) Complex in Sulfolobus solfataricus.
  14. Altmetric Badge
    Chapter 13 Procedures for Generating CRISPR Mutants with Novel Spacers Acquired from Viruses or Plasmids.
  15. Altmetric Badge
    Chapter 14 Archaeal Viruses of the Sulfolobales: Isolation, Infection, and CRISPR Spacer Acquisition.
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    Chapter 15 Using the CRISPR-Cas System to Positively Select Mutants in Genes Essential for Its Function.
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    Chapter 16 Analysis of nuclease activity of cas1 proteins against complex DNA substrates.
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    Chapter 17 Characterizing Metal-Dependent Nucleases of CRISPR-Cas Prokaryotic Adaptive Immunity Systems.
  19. Altmetric Badge
    Chapter 18 Cas3 Nuclease–Helicase Activity Assays
  20. Altmetric Badge
    Chapter 19 Chemical and Enzymatic Footprint Analyses of R-Loop Formation by Cascade-crRNA Complex
  21. Altmetric Badge
    Chapter 20 Creation and Analysis of a Virome: Using CRISPR Spacers.
  22. Altmetric Badge
    Chapter 21 Targeted Mutagenesis in Zebrafish Using CRISPR RNA-Guided Nucleases.
  23. Altmetric Badge
    Chapter 22 Precise Genome Editing of Drosophila with CRISPR RNA-Guided Cas9.
  24. Altmetric Badge
    Chapter 23 Targeted Transcriptional Repression in Bacteria Using CRISPR Interference (CRISPRi).
Attention for Chapter 1: Investigating CRISPR RNA Biogenesis and Function Using RNA-seq.
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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Chapter title
Investigating CRISPR RNA Biogenesis and Function Using RNA-seq.
Chapter number 1
Book title
CRISPR
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2687-9_1
Pubmed ID
Book ISBNs
978-1-4939-2686-2, 978-1-4939-2687-9
Authors

Heidrich, Nadja, Dugar, Gaurav, Vogel, Jörg, Sharma, Cynthia M, Nadja Heidrich, Gaurav Dugar, Jörg Vogel, Cynthia M. Sharma, Sharma, Cynthia M.

Editors

Magnus Lundgren, Emmanuelle Charpentier, Peter C. Fineran

Abstract

The development of deep sequencing technology has greatly facilitated transcriptome analyses of both prokaryotes and eukaryotes. RNA-sequencing (RNA-seq), which is based on massively parallel sequencing of cDNAs, has been used to annotate transcript boundaries and revealed widespread antisense transcription as well as a wealth of novel noncoding transcripts in many bacteria. Moreover, RNA-seq is nowadays widely used for gene expression profiling and about to replace hybridization-based approaches such as microarrays. RNA-seq has also informed about the biogenesis and function of CRISPR RNAs (crRNAs) of different types of bacterial RNA-based CRISPR-Cas immune systems. Here we describe several studies that employed RNA-seq for crRNA analyses, with a particular focus on a differential RNA-seq (dRNA-seq) approach, which can distinguish between primary and processed transcripts and allows for a genome-wide annotation of transcriptional start sites. This approach helped to identify a new crRNA biogenesis pathway of Type II CRISPR-Cas systems that involves a trans-encoded small RNA, tracrRNA, and the host factor RNase III.

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X Demographics

The data shown below were collected from the profiles of 3 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 28%
Researcher 5 17%
Student > Ph. D. Student 5 17%
Student > Bachelor 3 10%
Other 1 3%
Other 2 7%
Unknown 5 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 34%
Agricultural and Biological Sciences 7 24%
Immunology and Microbiology 2 7%
Medicine and Dentistry 2 7%
Chemistry 1 3%
Other 0 0%
Unknown 7 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 February 2016.
All research outputs
#7,459,393
of 22,805,349 outputs
Outputs from Methods in molecular biology
#2,319
of 13,120 outputs
Outputs of similar age
#105,699
of 353,075 outputs
Outputs of similar age from Methods in molecular biology
#168
of 996 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,120 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 76% 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 353,075 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 996 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.