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Autophagy in Infection and Immunity

Overview of attention for book
Attention for Chapter 8: Autophagy in Immunity Against Mycobacterium tuberculosis: a Model System to Dissect Immunological Roles of Autophagy
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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 (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

news
1 news outlet
twitter
2 X users
wikipedia
1 Wikipedia page

Citations

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19 Dimensions

Readers on

mendeley
125 Mendeley
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Chapter title
Autophagy in Immunity Against Mycobacterium tuberculosis: a Model System to Dissect Immunological Roles of Autophagy
Chapter number 8
Book title
Autophagy in Infection and Immunity
Published in
Current topics in microbiology and immunology, August 2009
DOI 10.1007/978-3-642-00302-8_8
Pubmed ID
Book ISBNs
978-3-64-200301-1, 978-3-64-200302-8
Authors

Vojo Deretic, Monica Delgado, Isabelle Vergne, Sharon Master, Sergio De Haro, Marisa Ponpuak, Sudha Singh, Deretic V, Delgado M, Vergne I, Master S, De Haro S, Ponpuak M, Singh S, Deretic, Vojo, Delgado, Monica, Vergne, Isabelle, Master, Sharon, Haro, Sergio, Ponpuak, Marisa, Singh, Sudha

Editors

Beth Levine, Tamotsu Yoshimori, Vojo Deretic

Abstract

The recognition of autophagy as an immune mechanism has been affirmed in recent years. One of the model systems that has helped in the development of our current understanding of how autophagy and more traditional immunity systems cooperate in defense against intracellular pathogens is macrophage infection with Mycobacterium tuberculosis. M. tuberculosis is a highly significant human pathogen that latently infects billions of people and causes active disease in millions of patients worldwide. The ability of the tubercle bacillus to persist in human populations rests upon its macrophage parasitism. One of the initial reports on the ability of autophagy to act as a cell-autonomous innate immunity mechanism capable of eliminating intracellular bacteria was on M. tuberculosis. This model system has further contributed to the recognition of multiple connections between conventional immune regulators and autophagy. In this chapter, we will review how these studies have helped to establish the following principles: (1) autophagy functions as an innate defense mechanism against intracellular microbes; (2) autophagy is under the control of pattern recognition receptors (PRR) such as Toll-like receptors (TLR), and it acts as one of the immunological output effectors of PRR and TLR signaling; (3) autophagy is one of the effector functions associated with the immunity-regulated GTPases, which were initially characterized as molecules involved in cell-autonomous defense, but whose mechanism of function was unknown until recently; (4) autophagy is an immune effector of Th1/Th2 T cell response polarization-autophagy is activated by Th1 cytokines (which act in defense against intracellular pathogens) and is inhibited by Th2 cytokines (which make cells accessible to intracellular pathogens). Collectively, the studies employing the M. tuberculosis autophagy model system have contributed to the development of a more comprehensive view of autophagy as an immunological process. This work and related studies by others have led us to propose a model of how autophagy, an ancient innate immunity defense, became integrated over the course of evolution with other immune mechanisms of ever-increasing complexity.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Unknown 123 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 24%
Researcher 24 19%
Student > Master 14 11%
Student > Bachelor 14 11%
Professor > Associate Professor 8 6%
Other 23 18%
Unknown 12 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 42%
Immunology and Microbiology 23 18%
Medicine and Dentistry 14 11%
Biochemistry, Genetics and Molecular Biology 12 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 5 4%
Unknown 17 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 08 August 2020.
All research outputs
#2,132,241
of 22,783,848 outputs
Outputs from Current topics in microbiology and immunology
#52
of 672 outputs
Outputs of similar age
#6,924
of 90,534 outputs
Outputs of similar age from Current topics in microbiology and immunology
#2
of 7 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done particularly well, scoring higher than 92% 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 90,534 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.