Proteomic profiling of cellular stresses in Bacillus subtilis reveals cellular networks and assists in elucidating antibiotic mechanisms of action

Author(s):  
Julia E. Bandow ◽  
Michael Hecker
2005 ◽  
Vol 73 (1) ◽  
pp. 31-36 ◽  
Author(s):  
Y. Douville ◽  
J.G. Boland

The influence and mechanisms of action of Bacillus subtilis on Colletotrichum trifolii, a causal agent of anthracnose of alfalfa (Medicago sativa), were studied in vivo and in vitro. In growth room conditions, a cell-free culture filtrate of B. subtilis significantly reduced disease incidence and severity on alfalfa seedlings from 56% to 16% and from 2.0 to 1.2, respectively. Treatment of seedlings with washed cell suspensions of B. subtilis had no influence on disease. Applications of crude filtrate on alfalfa leaflets inoculated with C. trifolii were associated with reduced germination of conidia, lysis of conidia, and reduced formation of appressoria. Under in vitro conditions, crude filtrate reduced germination of conidia, and induced lysis of conidia and the formation of inflated germ tubes on germinating conidia. An antibiotic of the iturin family, iturin D, was tentatively identified as the active compound responsible for the suppressive effect of B. subtilis on C. trifolii.


2020 ◽  
Vol 65 (1) ◽  
pp. e01373-20
Author(s):  
Christoph H. R. Senges ◽  
Jennifer J. Stepanek ◽  
Michaela Wenzel ◽  
Nadja Raatschen ◽  
Ümran Ay ◽  
...  

ABSTRACTNew antibiotics are urgently needed to address the mounting resistance challenge. In early drug discovery, one of the bottlenecks is the elucidation of targets and mechanisms. To accelerate antibiotic research, we provide a proteomic approach for the rapid classification of compounds into those with precedented and unprecedented modes of action. We established a proteomic response library of Bacillus subtilis covering 91 antibiotics and comparator compounds, and a mathematical approach was developed to aid data analysis. Comparison of proteomic responses (CoPR) allows the rapid identification of antibiotics with dual mechanisms of action as shown for atypical tetracyclines. It also aids in generating hypotheses on mechanisms of action as presented for salvarsan (arsphenamine) and the antirheumatic agent auranofin, which is under consideration for repurposing. Proteomic profiling also provides insights into the impact of antibiotics on bacterial physiology through analysis of marker proteins indicative of the impairment of cellular processes and structures. As demonstrated for trans-translation, a promising target not yet exploited clinically, proteomic profiling supports chemical biology approaches to investigating bacterial physiology.


PLoS ONE ◽  
2014 ◽  
Vol 9 (1) ◽  
pp. e87454 ◽  
Author(s):  
Renata Damásio de Souza ◽  
Milene Tavares Batista ◽  
Wilson Barros Luiz ◽  
Rafael Ciro Marques Cavalcante ◽  
Jaime Henrique Amorim ◽  
...  

2010 ◽  
Vol 1 (1) ◽  
Author(s):  
Andreas Otto ◽  
Jörg Bernhardt ◽  
Hanna Meyer ◽  
Marc Schaffer ◽  
Florian-A. Herbst ◽  
...  

2019 ◽  
Author(s):  
John S. Hawkins ◽  
Melanie R. Silvis ◽  
Byoung-Mo Koo ◽  
Jason M. Peters ◽  
Marco Jost ◽  
...  

AbstractEssential genes are the central hubs of cellular networks. Despite their importance, the lack of high-throughput methods for titrating their expression has limited our understanding of the fitness landscapes against which essential gene expression levels are optimized. We developed a modified CRISPRi system leveraging the predictable reduction in efficacy of imperfectly matched sgRNAs to generate specific levels of CRISPRi activity and demonstrate its broad applicability in bacteria. Using libraries of mismatched sgRNAs, we characterized the expression-fitness relationships of essential genes in Escherichia coli and Bacillus subtilis. Remarkably, these relationships co-vary by pathway and are predominantly conserved between E. coli and B. subtilis despite ~ 2 billion years of evolutionary separation, suggesting that deeply conserved tradeoffs underlie bacterial homeostasis.One Sentence SummaryBacterial essential genes have varying responses to CRISPRi knockdown that are largely conserved across ~2 billion years of evolution.


2019 ◽  
Vol 2 (6) ◽  
pp. e201900603 ◽  
Author(s):  
Sandipan Ray ◽  
Radoslaw Lach ◽  
Kate J Heesom ◽  
Utham K Valekunja ◽  
Vesela Encheva ◽  
...  

Determining the exact targets and mechanisms of action of drug molecules that modulate circadian rhythms is critical to develop novel compounds to treat clock-related disorders. Here, we have used phenotypic proteomic profiling (PPP) to systematically determine molecular targets of four circadian period–lengthening compounds in human cells. We demonstrate that the compounds cause similar changes in phosphorylation and activity of several proteins and kinases involved in vital pathways, including MAPK, NGF, B-cell receptor, AMP-activated protein kinases (AMPKs), and mTOR signaling. Kinome profiling further indicated inhibition of CKId, ERK1/2, CDK2/7, TNIK, and MST4 kinases as a common mechanism of action for these clock-modulating compounds. Pharmacological or genetic inhibition of several convergent kinases lengthened circadian period, establishing them as novel circadian targets. Finally, thermal stability profiling revealed binding of the compounds to clock regulatory kinases, signaling molecules, and ubiquitination proteins. Thus, phenotypic proteomic profiling defines novel clock effectors that could directly inform precise therapeutic targeting of the circadian system in humans.


2016 ◽  
Vol 38 (3) ◽  
pp. 146-157 ◽  
Author(s):  
M G Mazur ◽  
T V Pyatchanina

The main findings in the field of breast cancer proteomic research as well as modern strategies, technologies and methods of validation are reviewed. A special attention is focused on validated proteomic biomarkers of breast cancer. The data on proteomic profiling of stroma, tumor microenvironment, involvement of proteins in tumor progression, invasion and metastasis, and mechanisms of action of new generation drugs, are analyzed. The results of proteomic analysis are of high clinical importance and significantly improve tumor molecular profiling, stratification of patients, screening, diagnostics, and therapy of breast cancer.


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