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Bacterial Regulatory RNA

Overview of attention for book
Cover of 'Bacterial Regulatory RNA'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Workflow for a Computational Analysis of an sRNA Candidate in Bacteria
  3. Altmetric Badge
    Chapter 2 Guidelines for Inferring and Characterizing a Family of Bacterial trans-Acting Small Noncoding RNAs
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    Chapter 3 Bioinformatic Approach for Prediction of CsrA/RsmA-Regulating Small RNAs in Bacteria
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    Chapter 4 Host-Pathogen Transcriptomics by Dual RNA-Seq
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    Chapter 5 Identification of New Bacterial Small RNA Targets Using MS2 Affinity Purification Coupled to RNA Sequencing
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    Chapter 6 Assessment of External Guide Sequences’ (EGS) Efficiency as Inducers of RNase P-Mediated Cleavage of mRNA Target Molecules
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    Chapter 7 Evaluating the Effect of Small RNAs and Associated Chaperones on Rho-Dependent Termination of Transcription In Vitro
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    Chapter 8 Mapping Changes in Cell Surface Protein Expression Through Selective Labeling of Live Cells
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    Chapter 9 Fluorescence-Based Methods for Characterizing RNA Interactions In Vivo
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    Chapter 10 Mutational Analysis of sRNA–mRNA Base Pairing by Electrophoretic Mobility Shift Assay
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    Chapter 11 An Integrated Cell-Free Assay to Study Translation Regulation by Small Bacterial Noncoding RNAs
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    Chapter 12 Quantitative Super-Resolution Imaging of Small RNAs in Bacterial Cells
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    Chapter 13 Extraction and Analysis of RNA Isolated from Pure Bacteria-Derived Outer Membrane Vesicles
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    Chapter 14 Absolute Regulatory Small Noncoding RNA Concentration and Decay Rates Measurements in Escherichia coli
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    Chapter 15 High-Resolution, High-Throughput Analysis of Hfq-Binding Sites Using UV Crosslinking and Analysis of cDNA (CRAC)
  17. Altmetric Badge
    Chapter 16 Producing Hfq/Sm Proteins and sRNAs for Structural and Biophysical Studies of Ribonucleoprotein Assembly
  18. Altmetric Badge
    Chapter 17 Single-Molecule FRET Assay to Observe the Activity of Proteins Involved in RNA/RNA Annealing
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    Chapter 18 Techniques to Analyze sRNA Protein Cofactor Self-Assembly In Vitro
  20. Altmetric Badge
    Chapter 19 Sequence-Specific Affinity Chromatography of Bacterial Small Regulatory RNA-Binding Proteins from Bacterial Cells
  21. Altmetric Badge
    Chapter 20 Identification of Small RNA–Protein Partners in Plant Symbiotic Bacteria
  22. Altmetric Badge
    Chapter 21 A Modular Genetic System for High-Throughput Profiling and Engineering of Multi-Target Small RNAs
Attention for Chapter 4: Host-Pathogen Transcriptomics by Dual RNA-Seq
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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 (97th percentile)

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Chapter title
Host-Pathogen Transcriptomics by Dual RNA-Seq
Chapter number 4
Book title
Bacterial Regulatory RNA
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7634-8_4
Pubmed ID
Book ISBNs
978-1-4939-7633-1, 978-1-4939-7634-8
Authors

Alexander J. Westermann, Jörg Vogel, Westermann, Alexander J., Vogel, Jörg

Abstract

Transcriptomics, i.e., the quantification of cellular RNA transcripts, is a powerful way to gauge the physiological state of either bacterial or eukaryotic cells under a given condition. However, traditional approaches were unsuitable to measure the abundance of transcripts across kingdoms, which is relevant for biological processes such as bacterial infections of mammalian host cells. This changed with the establishment of "Dual RNA-seq," which profiles gene expression simultaneously in an infecting bacterium and its infected host. Here, we describe a detailed Dual RNA-seq protocol optimized for-but not restricted to-the study of human cell culture models infected with the Gram-negative model pathogen Salmonella Typhimurium. Furthermore, we provide experimental data demonstrating the benefits of some of the key steps of this protocol, including transcriptome stabilization (RNA fixation), FACS-based enrichment of invaded cells, and double rRNA depletion. While our focus is on data generation, we also include a section describing suitable computational methods to analyze the obtained datasets.

X Demographics

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 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 143 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 23%
Researcher 17 12%
Student > Bachelor 16 11%
Student > Master 15 10%
Student > Doctoral Student 12 8%
Other 17 12%
Unknown 33 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 44 31%
Immunology and Microbiology 26 18%
Agricultural and Biological Sciences 21 15%
Medicine and Dentistry 3 2%
Veterinary Science and Veterinary Medicine 2 1%
Other 9 6%
Unknown 38 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 14 June 2022.
All research outputs
#2,668,653
of 22,668,244 outputs
Outputs from Methods in molecular biology
#499
of 13,025 outputs
Outputs of similar age
#63,242
of 440,501 outputs
Outputs of similar age from Methods in molecular biology
#30
of 1,498 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,025 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 96% 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 440,501 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 1,498 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 97% of its contemporaries.