Proteomic Analysis of MYB-Regulated Secretome Identifies Functional Pathways and Biomarkers: Potential Pathobiological and Clinical Implications.
Haseeb ZubairGirijesh Kumar PatelMohammad Aslam KhanShafquat AzimAsif ZubairSeema SinghSanjeev Kumar SrivastavaAjay Pratap SinghPublished in: Journal of proteome research (2020)
Earlier we have shown important roles of MYB in pancreatic tumor pathobiology. To better understand the role of MYB in the tumor microenvironment and identify MYB-associated secreted biomarker proteins, we conducted mass spectrometry analysis of the secretome from MYB-modulated and control pancreatic cancer cell lines. We also performed in silico analyses to determine MYB-associated biofunctions, gene networks, and altered biological pathways. Our data demonstrated significant modulation (p < 0.05) of 337 secreted proteins in MYB-silenced MiaPaCa cells, whereas 282 proteins were differentially present in MYB-overexpressing BxPC3 cells, compared to their respective control cells. Alteration of several phenotypes such as cellular movement, cell death and survival, inflammatory response, protein synthesis, etc. was associated with MYB-induced differentially expressed proteins (DEPs) in secretomes. DEPs from MYB-silenced MiaPaCa PC cells were suggestive of the downregulation of genes primarily associated with glucose metabolism, PI3K/AKT signaling, and oxidative stress response, among others. DEPs from MYB-overexpressing BxPC3 cells suggested the enhanced release of proteins associated with glucose metabolism and cellular motility. We also observed that MYB positively regulated the expression of four proteins with potential biomarker properties, i.e., FLNB, ENO1, ITGB1, and INHBA. Mining of publicly available databases using Oncomine and UALCAN demonstrated that these genes are overexpressed in pancreatic tumors and associated with reduced patient survival. Altogether, these data provide novel avenues for future investigations on diverse biological functions of MYB, specifically in the tumor microenvironment, and could also be exploited for biomarker development.
Keyphrases
- transcription factor
- cell cycle arrest
- induced apoptosis
- genome wide identification
- cell death
- pi k akt
- signaling pathway
- mass spectrometry
- inflammatory response
- genome wide
- endoplasmic reticulum stress
- copy number
- gene expression
- electronic health record
- machine learning
- climate change
- endothelial cells
- lipopolysaccharide induced
- lps induced
- capillary electrophoresis
- artificial intelligence
- molecular dynamics simulations
- simultaneous determination
- liquid chromatography
- bioinformatics analysis