Extended Data Fig. 1: Combinatorial mass spectrometry analyses to characterize the paracrine communication between PSCs and PCCs. | Nature

Extended Data Fig. 1: Combinatorial mass spectrometry analyses to characterize the paracrine communication between PSCs and PCCs.

From: Targeting LIF-mediated paracrine interaction for pancreatic cancer therapy and monitoring

Extended Data Fig. 1

a, Phosphotyrosine proteomic analysis of intracellular signalling changes in MIA PaCa2 cells in response to stimulation with hPSC-conditioned medium. n = 2 biological replicates. b, Summary of phosphotyrosine proteomic analysis data in PANC1 and MIA PaCa2 cells in response to stimulation with hPSC-conditioned medium. c, Workflow of the analysis of secretome proteomic assays. Proteins identified with at least three spectral counts were counted, and only those identified in both biological replicates were considered. Proteins uniquely secreted by each cell type were defined as those with more than tenfold differences in spectral count. n = 2 biological replicates. d, DAVID gene ontology (GO) analysis of the protein sets uniquely secreted by MIA PaCa2 cells and hPSC identified the top ten enriched GO terms of molecular function for each cell type. e, Pearson correlation analysis to validate the quantification reproducibility of STAT3 IP–MS assays by label-free quantification (LFQ) between biological replicates. n = 3 biological replicates for both control and stimulation with PSC-conditioned medium.

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