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Mtp 96 maldi tof target plate

Manufactured by Bruker
Sourced in Germany

The MTP 96 MALDI-TOF target plate is a laboratory equipment designed for use with MALDI-TOF mass spectrometry systems. It provides a standardized sample deposition surface for analyzing multiple samples in a 96-well format.

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5 protocols using mtp 96 maldi tof target plate

1

Culturomics-based Bacterial Identification Using MALDI-TOF

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Using the 18 culture conditions of the culturomics concept, the fecal sample was cultivated, and the obtained colonies were identified by MALDI-TOF as described below [5] (link). Proteomic analysis of our strain was carried out with MALDI-TOF as previously described [10] (link), [11] (link). A Microflex spectrometer (Bruker Daltonics, Leipzig, Germany) was used with a MTP 96 MALDI-TOF target plate (Bruker) on which 12 individual colonies were deposited. Twelve spectra were thus obtained, imported into MALDI BioTyper 2.0 software (Bruker) and analysed by standard pattern matching (with default parameter settings) against the main spectra of 7567 bacteria. Comparison with the BioTyper database spectra enabled the identification and discrimination of the analysed species from those in the database in accordance with the obtained score: a score >2 with a validated species enabled the identification at the species level, and a score <1.7 did not enable any identification. After a failed identification of the colony with a clean spectrum, it was identified by sequencing the 16S ribosomal RNA as previously described [18] (link). A threshold of 98.7% similarity level was determined to define a new species without performing DNA-DNA hybridization [19] .
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2

Bacterial Diversity Analysis via Culturomics

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The bacterial diversity of the stool sample was characterized using the 18 culture conditions of standardized culturomics [14] (link). For each culture condition, a liquid preincubation of the sample was performed, and tenfold serial dilutions of this culture were seeded on 5% sheep’s blood–enriched Colombia agar every 3 days for 30 days (bioMérieux, Marcy l’Étoile, France). Colonies were purified and identified using MALDI-TOF MS as previously described [15] (link), [16] (link). The MALDI-TOF MS analysis was carried out using a Microflex Spectrometer (Bruker Daltonics, Leipzig, Germany) with a MTP 96 MALDI-TOF target plate (Bruker). Each colony was tested in duplicate, and the obtained spectra were imported into MALDI BioTyper 2.0 software (Bruker). The spectra were then compared by standard pattern matching (with default parameter settings) to the 7567 references contained in our database, which consists of the Bruker database incremented with data from species that were not already present in the database. A strain is considered identified at the species level for an identification score of ≥1.9. Between identification scores of 1.7 to 1.9, the strain is identified at the genus level. A score of <1.7 does not allow any identification. The 16S rRNA gene was sequenced in order to obtain an identification as previously described [17] (link).
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3

Rapid Bacterial Identification by MALDI-TOF MS

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The MALDI‐TOF MS protein analysis consisted of picking an isolated colony and then depositing twelve distinct deposits on a MTP 96 MALDI‐TOF target plate (Bruker Daltonics, Leipzig, Germany) to be analyzed. 2 μl of a matrix solution (saturated solution of α‐cyano‐4‐hydroxycinnamic acid diluted in 50% acetonitrile and 2.5% of tri‐fluoro‐acetic acid) was added on each spot. Measurements and proteomic analysis of the isolate were carried out with a Microflex spectrometer (Bruker) as previously described (Seng et al., 2009). Protein spectra were imported into the MALDI BioTyper software (version 2.0, Bruker) and analyzed by standard pattern matching (with default parameter settings) against the spectra of the Bruker database (constantly incremented with our new spectra). A score >1.9 enabled the identification at the species level and a score < 1.7 did not enable any identification. Sequencing the 16S rRNA gene is needed to achieve the identification if the bacterium is not referenced in the database. The 16S rRNA gene amplification and sequencing were performed as previously described (Morel et al., 2015). For similarity level thresholds of 98.65% and 95%, a new species or a new genus was suggested, respectively, as proposed by Kim, Oh, Park, & Chun, (2014).
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4

MALDI-TOF-based Bacterial Identification

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Isolated colonies were deposited in duplicate on a MTP 96 MALDI‐TOF target plate (Bruker Daltonics, Leipzig, Germany) for identification with a microflex spectrometer (Bruker), as previously described (Seng et al., 2009). All obtained protein spectra were loaded into the MALDI Biotyper Software (Bruker Daltonics) and compared, as previously described (18), using the standard pattern‐matching algorithm, which compared the acquired spectrum with those present in the library (the Bruker database and our constantly updated database). If the score was greater than 1.9, the bacterium was considered to be identified at the species level. If not, identification failed and to achieve identification for unidentified colonies, the 16S rRNA gene was sequenced using fD1‐rP2 primers (Eurogentec, Angers, France) and the obtained sequence was matched against the NCBI database using the BLAST algorithm (Drancourt et al., 2000). As suggested, if the 16S rRNA gene sequence similarity value was lower than 95% or 98.7%, the strain was defined as a new genus or species, respectively (Kim, Oh, Park, & Chun, 2014; Stackebrandt & Ebers, 2006).
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5

Proteomic Identification of Bacterial Strain

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Strain mt16 was identified using MALDI-TOF MS technology [11, (link)19] (link). This proteomic analysis was conducted using a Microflex spectrometer (Bruker Daltonics, Leipzig, Germany) with a MTP 96 MALDI-TOF target plate (Bruker). The obtained spectra for a colony are imported into the MALDI BioTyper software (version 2.0, Bruker) and analyzed by standard pattern matching (with default parameter settings) against the 7567 references contained in our database (Bruker database incremented with our data). An identification score was obtained: a score !1.9 allowed an identification at the species level; a score between 1.9 and 1.7 allowed identification only at the genus level and finally a score <1.7 gave no identification.
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