This project aims to explore the protein interaction network of thyroid cancer cell lines through a robotics platform combined with proteomic techniques. The primary method involves using CF-DIA-MS (Co-fractionation Data-Independent Acquisition Mass Spectrometry) to acquire data from three different thyroid cell lines. These cell lines are chosen to represent various stages or subtypes of thyroid cancer, providing a comprehensive view of the co-eluted protein changes associated with disease progression. The proteomics data obtained will be invaluable for understanding the protein interactions underlying thyroid cancer and for identifying potential biomarkers for diagnostic or therapeutic purposes.