The liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis was performed using Dionex Ultimate 3000 RSLC nano-flow system (Dionex, Camberley, UK) and Orbitrap Q Exactive Plus mass spectrometer (Thermo Fisher Scientific, Waltham, MA, USA) as described elsewhere [58 (link)]. For peptide identification and relative quantification, SEQUEST algorithm, Proteome Discoverer (version 2.0., Thermo Fisher Scientific), was used. NCBI database search against Canis Lupus FASTA files was performed considering two trypsin missed cleavage sites, precursor tolerance of 10 ppm and fragment mass tolerance of 0.02 Da. The false discovery rate (FDR) for peptide identification was set at 1% and Percolator algorithm within the Proteome Discoverer workflow was used.
Quantitative Proteome Profiling of Canine Samples
The liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis was performed using Dionex Ultimate 3000 RSLC nano-flow system (Dionex, Camberley, UK) and Orbitrap Q Exactive Plus mass spectrometer (Thermo Fisher Scientific, Waltham, MA, USA) as described elsewhere [58 (link)]. For peptide identification and relative quantification, SEQUEST algorithm, Proteome Discoverer (version 2.0., Thermo Fisher Scientific), was used. NCBI database search against Canis Lupus FASTA files was performed considering two trypsin missed cleavage sites, precursor tolerance of 10 ppm and fragment mass tolerance of 0.02 Da. The false discovery rate (FDR) for peptide identification was set at 1% and Percolator algorithm within the Proteome Discoverer workflow was used.
Corresponding Organization :
Other organizations : Universidad de Murcia, Mediterranean Institute for Life Sciences, University of Zagreb
Variable analysis
- Reduction
- Alkylation
- Digestion
- Labelling using 6-plex Tandem Mass Tag reagents
- Protein abundance (ratio to internal standard)
- Protein amount (35 µg) for each sample
- Internal standard (pool of 35 µg protein from each sample)
- Positive control: Internal standard pool
- Negative control: Not explicitly mentioned
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