We present the use of conductive spray polymer ionization mass spectrometry (CPSI-MS) combined with machine learning (ML) to rapidly gain the metabolic fingerprint from 1 μl liquid extraction from the
Immortalized human breast cancer cell lines, MDA-MB-231(ATCC® HTB-26™) and MDA-MB-468(ATCC® HTB-132™), were analyzed via RT-qPCR for transcript expression of several classes of protein factors includi
