Qi Tang, B.S., earned his Bachelor of Science degree from Hunan Normal University in China. He has been trained and specialized in mass spectrometry and computer programming. Qi was Proteomic Program Director at BGI, the world-leading institution in genomic sequencing and molecular profiling. In 2014, Qi became Sr. R&D Director at his current employer, ProteinT Biotech in Tianjin, China. Qi’s research interests mainly include creating DIA-based proteomic database for a variety of diseases, developing MS-based diagnostic panels, and several other proteomic-based clinical assays.

Edited transition and RT information in Skyline library improves DIA quantification of cerebral spinal fluid (CSF) proteomes

DIA-based proteomic profiling is an essential tool for molecular data collection in precision medicine. Skyline is one of very few available programs for deciphering DIA data. Read More
We performed proteomic comparison of CSF between 15 brain medullablastomas and 15 metastasis cases to seek for distinguishing biomarkers. Our novel steps include: (1) using reference peptides for RT normalization in every DDA and DIA runs; (2) enriching transition list in DDA: we pooled every 5 samples and performed LC-fractionization prior to MS, and combined transition list into .blib files; (3) improving RT accuracy: with iRT strategy, we correlated RTs of a certain peptide in every DDAs with each DIA and assigned the most precise (median) RT to the peptide in a new RT profile; (4) by combing files from (2) and (3), we generated “personalized” and optimized Skyline library for each DIA. We developed valuable diagnostic panels for medullablastoma metastasis.