Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 278.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 278.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 278.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 278.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\28877205
.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 PLoS+One
2017 ; 12
(9
): e0182962
Nephropedia Template TP
gab.com Text
Twit Text FOAVip
Twit Text #
English Wikipedia
Identification of Shiga-Toxigenic Escherichia coli outbreak isolates by a novel
data analysis tool after matrix-assisted laser desorption/ionization
time-of-flight mass spectrometry
#MMPMID28877205
Christner M
; Dressler D
; Andrian M
; Reule C
; Petrini O
PLoS One
2017[]; 12
(9
): e0182962
PMID28877205
show ga
The fast and reliable characterization of bacterial and fungal pathogens plays an
important role in infectious disease control and tracking of outbreak agents. DNA
based methods are the gold standard for epidemiological investigations, but they
are still comparatively expensive and time-consuming. Matrix-assisted laser
desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is a fast,
reliable and cost-effective technique now routinely used to identify clinically
relevant human pathogens. It has been used for subspecies differentiation and
typing, but its use for epidemiological tasks, e. g. for outbreak investigations,
is often hampered by the complexity of data analysis. We have analysed publicly
available MALDI-TOF mass spectra from a large outbreak of Shiga-Toxigenic
Escherichia coli in northern Germany using a general purpose software tool for
the analysis of complex biological data. The software was challenged with
depauperate spectra and reduced learning group sizes to mimic poor spectrum
quality and scarcity of reference spectra at the onset of an outbreak. With high
quality formic acid extraction spectra, the software's built in classifier
accurately identified outbreak related strains using as few as 10 reference
spectra (99.8% sensitivity, 98.0% specificity). Selective variation of processing
parameters showed impaired marker peak detection and reduced classification
accuracy in samples with high background noise or artificially reduced peak
counts. However, the software consistently identified mass signals suitable for a
highly reliable marker peak based classification approach (100% sensitivity,
99.5% specificity) even from low quality direct deposition spectra. The study
demonstrates that general purpose data analysis tools can effectively be used for
the analysis of bacterial mass spectra.