↓ Skip to main content

Non-coding RNA regulation in pathogenic bacteria located inside eukaryotic cells

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, November 2014
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
124 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Non-coding RNA regulation in pathogenic bacteria located inside eukaryotic cells
Published in
Frontiers in Cellular and Infection Microbiology, November 2014
DOI 10.3389/fcimb.2014.00162
Pubmed ID
Authors

Álvaro D. Ortega, Juan J. Quereda, M. Graciela Pucciarelli, Francisco García-del Portillo

Abstract

Intracellular bacterial pathogens have evolved distinct lifestyles inside eukaryotic cells. Some pathogens coexist with the infected cell in an obligate intracellular state, whereas others transit between the extracellular and intracellular environment. Adaptation to these intracellular lifestyles is regulated in both space and time. Non-coding small RNAs (sRNAs) are post-transcriptional regulatory molecules that fine-tune important processes in bacterial physiology including cell envelope architecture, intermediate metabolism, bacterial communication, biofilm formation, and virulence. Recent studies have shown production of defined sRNA species by intracellular bacteria located inside eukaryotic cells. The molecules targeted by these sRNAs and their expression dynamics along the intracellular infection cycle remain, however, poorly characterized. Technical difficulties linked to the isolation of "intact" intracellular bacteria from infected host cells might explain why sRNA regulation in these specialized pathogens is still a largely unexplored field. Transition from the extracellular to the intracellular lifestyle provides an ideal scenario in which regulatory sRNAs are intended to participate; so much work must be done in this direction. This review focuses on sRNAs expressed by intracellular bacterial pathogens during the infection of eukaryotic cells, strategies used with these pathogens to identify sRNAs required for virulence, and the experimental technical challenges associated to this type of studies. We also discuss varied techniques for their potential application to study RNA regulation in intracellular bacterial infections.

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

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
New Zealand 1 <1%
Mexico 1 <1%
Belgium 1 <1%
United States 1 <1%
Unknown 119 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 27%
Researcher 23 19%
Student > Master 14 11%
Student > Bachelor 13 10%
Student > Postgraduate 9 7%
Other 20 16%
Unknown 12 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 45%
Biochemistry, Genetics and Molecular Biology 28 23%
Immunology and Microbiology 9 7%
Engineering 7 6%
Medicine and Dentistry 6 5%
Other 5 4%
Unknown 13 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 04 January 2015.
All research outputs
#20,248,338
of 22,776,824 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#5,923
of 6,354 outputs
Outputs of similar age
#216,011
of 258,745 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#22
of 31 outputs
Altmetric has tracked 22,776,824 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,354 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 258,745 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.