proteomics laboratory 詹鴻霖教授hong-lin chan
Post on 15-Jun-2022
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PowerPoint 43 64
.0 6
53 80
.6 4
62 54
.6 4
63 15
.4 9
50 96
.0 1
71 57
.6 5
72 73
.8 7
64 10
.9 0
78 70
.6 2
83 68
.9 9
4000 4500 5000 5500 6000 6500 7000 7500 8000 m/z
ribosomal Protein m/z RL36 4364,33 RS32 5095,82 RL34 5380,39 RL33meth. 6255,39 RL32 6315,19 RL30 6410,60 RL35 7157,74 RL29 7273,45 RL31 7871,06 RS21 8368,76
Mass Spectra Identification
Calculation of a matching score based on: Rel Score
% matches of the reference spectrum (e.g. 6 / 10 = 0.6)
Rel P-Num. % matches of the unknown spectrum (e.g. 6 / 20 = 0.3)
I-Corr. value of intensity correlation
Cancer Drug Resistance
Microbiota Analysis
based proteomic analysis
Gene Editing Tools
Identified species
Unknown microrganism
Generate MALDI-TOF profile spectrum
analyzed by MS
.0 6
53 80
.6 4
62 54
.6 4
63 15
.4 9
50 96
.0 1
71 57
.6 5
72 73
.8 7
64 10
.9 0
78 70
.6 2
83 68
.9 9
4000 4500 5000 5500 6000 6500 7000 7500 8000 m/z
ribosomal Protein m/z RL36 4364,33 RS32 5095,82 RL34 5380,39 RL33meth. 6255,39 RL32 6315,19 RL30 6410,60 RL35 7157,74 RL29 7273,45 RL31 7871,06 RS21 8368,76
Mass Spectra Identification
Calculation of a matching score based on: Rel Score
% matches of the reference spectrum (e.g. 6 / 10 = 0.6)
Rel P-Num. % matches of the unknown spectrum (e.g. 6 / 20 = 0.3)
I-Corr. value of intensity correlation
Cancer Drug Resistance
Microbiota Analysis
based proteomic analysis
Gene Editing Tools
Identified species
Unknown microrganism
Generate MALDI-TOF profile spectrum
analyzed by MS
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