Title |
From microbial gene essentiality to novel antimicrobial drug targets
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Published in |
BMC Genomics, November 2014
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DOI | 10.1186/1471-2164-15-958 |
Pubmed ID | |
Authors |
Fredrick M Mobegi, Sacha AFT van Hijum, Peter Burghout, Hester J Bootsma, Stefan PW de Vries, Christa E van der Gaast-de Jongh, Elles Simonetti, Jeroen D Langereis, Peter WM Hermans, Marien I de Jonge, Aldert Zomer |
Abstract |
Bacterial respiratory tract infections, mainly caused by Streptococcus pneumoniae, Haemophilus influenzae and Moraxella catarrhalis are among the leading causes of global mortality and morbidity. Increased resistance of these pathogens to existing antibiotics necessitates the search for novel targets to develop potent antimicrobials.Result: Here, we report a proof of concept study for the reliable identification of potential drug targets in these human respiratory pathogens by combining high-density transposon mutagenesis, high-throughput sequencing, and integrative genomics. Approximately 20% of all genes in these three species were essential for growth and viability, including 128 essential and conserved genes, part of 47 metabolic pathways. By comparing these essential genes to the human genome, and a database of genes from commensal human gut microbiota, we identified and excluded potential drug targets in respiratory tract pathogens that will have off-target effects in the host, or disrupt the natural host microbiota. We propose 249 potential drug targets, 67 of which are targets for 75 FDA-approved antimicrobials and 35 other researched small molecule inhibitors. Two out of four selected novel targets where experimentally validated, proofing the concept. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | <1% |
Brazil | 1 | <1% |
Sweden | 1 | <1% |
United Kingdom | 1 | <1% |
Iceland | 1 | <1% |
Denmark | 1 | <1% |
Korea, Republic of | 1 | <1% |
United States | 1 | <1% |
Unknown | 112 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 29 | 24% |
Researcher | 28 | 23% |
Student > Master | 13 | 11% |
Student > Bachelor | 8 | 7% |
Student > Doctoral Student | 5 | 4% |
Other | 16 | 13% |
Unknown | 21 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 32 | 27% |
Biochemistry, Genetics and Molecular Biology | 23 | 19% |
Medicine and Dentistry | 15 | 13% |
Immunology and Microbiology | 7 | 6% |
Computer Science | 5 | 4% |
Other | 13 | 11% |
Unknown | 25 | 21% |