Journal: Life Science Alliance
Article Title: Oncogenic mutations of KRAS modulate its turnover by the CUL3/LZTR1 E3 ligase complex
doi: 10.26508/lsa.202302245
Figure Lengend Snippet: (A) Mass spectrometry data analysis schematic representation. Data were initially analysed in MaxQuant to identify proteins present in our samples. Data were then processed with an interaction scoring algorithm SAINTexpress to provide a score on the probability of a true “interaction” (true proximity protein) with our bait. Finally, true proximity proteins were decided to include any protein with a SAINT score above 0.8 and fold difference higher or equal to four as compared with the beads control. On the other hand, MaxQuant results were further analysed on Perseus, and volcano plots were generated. Different databases, including BioGRID, were integrated to explore the identification of known interactors. Finally, PPI networks were generated through Metascape and Cytoscape. (B) All Ras proximal proteins are identified in each APEX2-KRAS “proximitome.” SAINT probability ≥ 0.8; fold change ≥ 4 over beads control (1,373 proteins). Several KRAS interactome families (receptors, repressors, activators, interactors, classical Ras effectors, “proximitome,” MEK-RAF pathway, PIK3 pathway, TIAM-RAC pathway, RALGDS pathway, RASSF pathway) were explored. (C) Heatmap showing the relative abundance of known KRAS interactors in WT KRAS, G12D, G13D, and Q61H KRAS mutant-APEX2 samples under either starvation or FCS-stimulated conditions. (D) Landscape (blue – previously known; grey – this study) of the KRAS-APEX2 “proximitome” (SAINT score ≥ 0.8) relative to the cellular proteome. Previously known Ras effectors, including receptors, repressors, and activators, are coloured red.
Article Snippet: Then KRAS ORF was PCR amplified and cloned into the pcDNA5/FRT Vector APEX2 plasmid using NEBuilder HiFi DNA Assembly following protocol.
Techniques: Mass Spectrometry, Generated, Mutagenesis