<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Cyclic AMP Signaling in Mycobacteria

descriptionPublicationkeyboard_double_arrow_right Article , Part of book or chapter of book 14 Mar 2014Publisher:American Society for MicrobiologyJournal:Microbiology Spectrum, volume 2 (eissn: 2165-0497,

Authors: Kathleen A. McDonough; Gwendowlyn S. Knapp;

doi: 10.1128/microbiolspec.mgm2-0011-2013 , 10.1128/9781555818845.ch14

pmid: 26105822

Cyclic AMP Signaling in Mycobacteria

- Summary
- Subjects
- Metrics

Abstract

ABSTRACT All cells must adapt to changing conditions, and many use cyclic AMP (cAMP) as a second messenger to sense and respond to fluctuations in their environment. cAMP is made by adenylyl cyclases (ACs), and mycobacteria have an unusually large number of biochemically distinct ACs. cAMP is important for gene regulation in mycobacteria, and the ability to secrete cAMP into host macrophages during infection contributes to Mycobacterium tuberculosis pathogenesis. This article discusses the many roles of cAMP in mycobacteria and reviews what is known about the factors that contribute to production, destruction, and utilization of this important signal molecule. Special emphasis is placed on cAMP signaling in M. tuberculosis complex bacteria and its importance to M. tuberculosis during host infection.

Related Organizations

Wadsworth Center
United States
State University of New York at Potsdam
United States
New York State Department of Health
United States

Keywords

Macrophages, Host-Pathogen Interactions, Cyclic AMP, Gene Expression Regulation, Bacterial, Mycobacterium tuberculosis, Adaptation, Physiological, Signal Transduction

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	17
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average