STO-MS-plus

Quantitative profiling of stoichiometry with 15nt mass tags and LFQ

STO-MS workflow

A chemoproteomic strategy called “STO-MS” to systematically quantify the PTM stoichiometry in complex biological samples github paper

Upgrade instructions

1. A novel nucleic acid mass tag with better resolution.
2. Label-free quantificaton method allows for simpler sample preparation and higher sample throughput.
3. Gaussian fitting of band intensity allows for better identification of modification species.

Example:

cd example
python ../scripts/maxq_compare_proGrp_LFQ.py \ 
uniprot_sprot_HUMAN_160504.fasta \
exp.list \
markers.txt \
. \
'-UDP_' \
'+UDP_' > log.txt

Options explanation:

    fasta with all protein sequnces
    id of each fraction
    shift of each marker
    working directory
    prefix of the first sample
    prefix of the second sample
    ...

Output final results:

grep 'STAT' log.txt > stoichiometry.txt