Publications with MicrobeMS
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Acknowledgements
MicrobeMS is a software project that has been developed by Peter Lasch at the Proteomics and Spectroscopy unit at the Robert Koch-Institute (Berlin/Germany). MicrobeMS is not open source but is provided for free, for testing or non-commercial use. Please send us references to any publications, presentations, or successful funding applications that make use of the MicrobeMS software, or MicrobeMS data sets (e-mail)).
We kindly ask users of MicrobeMS and MicrobeMS data sets to acknowledge us in their publications by citing the following publication:
Identification of Highly Pathogenic Microorganisms using MALDI-TOF Mass Spectrometry - Results of an Inter-Laboratory Ring Trial. Lasch P, Wahab T, Weil S, Pályi B, Tomaso H, Zange S, Granerud BK, Drevinek M, Kokotovic B, Wittwer M, Pflüger V, Di Caro A, Stämmler M, Grunow R, Jacob D. J Clin Microbiol. 2015. 53(8):2632-40. doi:10.1128/JCM.00813-15 |
Relevant publications
- Version 4 (20230306) of the MALDI-TOF Mass Spectrometry Database for Identification and Classification of Highly Pathogenic Microorganisms from the Robert Koch-Institute (RKI)
Lasch P, Stämmler M, Schneider A.
Zenodo (Mar 06, 2023) doi:10.5281/zenodo.7702375 - In silico Database for Identification of Microorganisms by Liquid Chromatography-Mass Spectrometry (LC-MS¹)
Lasch P, Schneider A, Blumenscheit C, Doellinger J
Zenodo (December 13, 2019) doi: 10.5281/zenodo.3573996 - Preprint: Identification of Microorganisms by Liquid Chromatography-Mass Spectrometry (LC-MS1) and in silico Peptide Mass Data
Lasch P, Schneider A, Blumenscheit C, Doellinger J
bioRxiv (Dec 10, 2019) doi:10.1101/870089 - Version 3 (20181130) of the MALDI-TOF Mass Spectrometry Database for Identification and Classification of Highly Pathogenic Microorganisms from the Robert Koch-Institute (RKI)
Lasch P, Stämmler M, Schneider A.
Zenodo (Nov 11, 2018) doi:10.5281/zenodo.1880975 - Burkholderia puraquae sp. nov., a novel species of the Burkholderia cepacia complex isolated from hospital settings and agricultural soils
P Martina, M Leguizamon, CI Prieto, SA Sousa, P Montanaro, WO Draghi, ...
International Journal of Systematic and Evolutionary Microbiology.2017 68 (1), 14-20 - Version 2 (20170523) of the MALDI-TOF Mass Spectrometry Database for Identification and Classification of Highly Pathogenic Microorganisms from the Robert Koch-Institute (RKI)
Lasch P, Stämmler M, Schneider A.
Zenodo (May 23, 2017) doi:10.5281/zenodo.582602 - Rapid characterisation of Klebsiella oxytoca isolates from contaminated liquid hand soap using mass spectrometry, FTIR and Raman spectroscopy
R Dieckmann, JA Hammerl, H Hahmann, A Wicke, S Kleta, PW Dabrowski, ...
Faraday Discussions.2016 187, 353-375 - Version 1 (20161027) of the MALDI-TOF Mass Spectrometry Database for Identification and Classification of Highly Pathogenic Microorganisms from the Robert Koch-Institute (RKI)
Lasch P, Stämmler M, Schneider A.
Zenodo (Oct 27, 2016) doi:10.5281/zenodo.163517 - Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) for the identification of highly pathogenic bacteria
Lasch P, Jacob D, Grunow R, Schwecke T, Doellinger J.
Trends Anal Chem. 2016. Part B, (Trends in CBRN Measurements for safety and security): 103–111. doi: 10.1016/j.trac.2016.04.013 - Inactivation techniques for MALDI-TOF MS analysis of highly pathogenic bacteria - A Critical Review
Lasch P, Grunow R, Antonation K, Weller S, Jacob D.
Trends Anal Chem. 2016. 85, Part B, (Trends in CBRN Measurements for safety and security): 112–119. doi:10.1016/j.trac.2016.04.012 - Unsuitability of MALDI-TOF MS to discriminate Acinetobacter baumannii clones under routine experimental conditions
Sousa C, Botelho J, Grosso F, Silva L, Lopes J, Peixe L.
Front Microbiol. 2015. 6:481. doi: 10.3389/fmicb.2015.00481. - Discriminatory Power of MALDI-TOF Mass Spectrometry for Phylogenetically Closely Related Microbial Strains
Lasch P, Jacob D, Klee SR, Werner G.
In: Applications of Mass Spectrometry in Microbiology: From Strain Characterization to Rapid Screening for Antibiotic Resistance. Editors: Plamen A. Demirev and Todd R. Sandrin, Springer - Identification of Highly Pathogenic Microorganisms using MALDI-TOF Mass Spectrometry - Results of an Inter-Laboratory Ring Trial
Lasch P, Wahab T, Weil S, Pályi B, Tomaso H, Zange S, Granerud BK, Drevinek M, Kokotovic B, Wittwer M, Pflüger V, Di Caro A, Stämmler M, Grunow R, Jacob D.
J Clin Microbiol. 2015. 53(8):2632-40. doi:10.1128/JCM.00813-15 - Insufficient discriminatory power of MALDI-TOF mass spectrometry for typing of Enterococcus faecium and Staphylococcus aureus isolates
Lasch P, Fleige C, Stämmler M, Layer F, Nübel U, Witte W, Werner G.
J Microbiol Methods. 2014. pii: S0167-7012(14)00055-4. - MALDI-TOF mass spectrometry for rapid identification of highly pathogenic microorganisms.
Lasch P, Naumann D.
In: Proteomics, Glycomics and Antigenicity of BSL3 and BSL4 Agents. J. Stulik, R. Toman, P. Butaye, R.G. Ulrich (Eds). Wiley VCH. 2011, Weinheim, Germany. - Characterization of Yersinia using MALDI-TOF mass spectrometry and chemometrics.
Lasch P, Drevinek M, Nattermann H, Grunow R, Stämmler M, Dieckmann R, Schwecke T, Naumann D.
Anal Chem. 2010. 82(20):8464-75. - Identification of Bacillus anthracis by using matrix-assisted laser desorption ionization-time of flight mass spectrometry and artificial neural networks.
Lasch P, Beyer W, Nattermann H, Stämmler M, Siegbrecht E, Grunow R, Naumann D.
Appl Environ Microbiol. 2009. 75(22):7229-42. - Rapid identification of Burkholderia cepacia complex species including strains of the novel Taxon K, recovered from cystic fibrosis patients by intact cell MALDI-ToF mass spectrometry.
Miñán A, Bosch A, Lasch P, Stämmler M, Serra DO, Degrossi J, Gatti B, Vay C, D'aquino M, Yantorno O, Naumann D.
Analyst. 2009. 134(6):1138-48. - MALDI-TOF mass spectrometry compatible inactivation method for highly pathogenic microbial cells and spores.
Lasch P, Nattermann H, Erhard M, Stämmler M, Grunow R, Bannert N, Appel B, Naumann D.
Anal Chem. 2008. 80(6):2026-34.