ArticleScientific reports2018
SILAC-based quantitative MS approach for real-time recording protein-mediated cell-cell interactions.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Dual-species proteomics and targeted intervention of animal-pathogen interactions.Journal of advanced research · 2025Article
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- Comprehensive stable-isotope tracing of glucose and amino acids identifies metabolic by-products and their sources in CHO cell culture.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- SUMOylation of annexin A6 retards cell migration and tumor growth by suppressing RHOU/AKT1-involved EMT in hepatocellular carcinoma.Cell communication and signaling : CCS · 2024Article
- SUMOylation of AnxA6 facilitates EGFR-PKCα complex formation to suppress epithelial cancer growth.Cell communication and signaling : CCS · 2023Article
- Review
- Advancements in Oncoproteomics Technologies: Treading toward Translation into Clinical Practice.Proteomes · 2023Review
- Advances in stable isotope labeling: dynamic labeling for spatial and temporal proteomic analysis.Molecular omics · 2022Review
- Long noncoding RNA and protein abundance in lncRNPs.RNA (New York, N.Y.) · 2021Review
- Review
- Evaluating Spatiotemporal Dynamics of Phosphorylation of RNA Polymerase II Carboxy-Terminal Domain by Ultraviolet Photodissociation Mass Spectrometry.Journal of the American Chemical Society · 2021Article
- Unveiling Cancer Metabolism through Spontaneous and Coherent Raman Spectroscopy and Stable Isotope Probing.Cancers · 2021Review
- Kinase Signaling in Dendritic Development and Disease.Frontiers in cellular neuroscience · 2021Review
- Radiation-induced bystander and abscopal effects: important lessons from preclinical models.British journal of cancer · 2020Review
- TMT Sample Preparation for Proteomics Facility Submission and Subsequent Data Analysis.Journal of visualized experiments : JoVE · 2020Article
- Recent advances in mass spectrometry based clinical proteomics: applications to cancer research.Clinical proteomics · 2020Review
- SAE1 promotes human glioma progression through activating AKT SUMOylation-mediated signaling pathways.Cell communication and signaling : CCS · 2019Article
- Inferring Protein-Protein Interaction Networks From Mass Spectrometry-Based Proteomic Approaches: A Mini-Review.Computational and structural biotechnology journal · 2019Review
- From Single Level Analysis to Multi-Omics Integrative Approaches: A Powerful Strategy towards the Precision Oncology.High-throughput · 2018Review
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
In tumor microenvironment, interactions among multiple cell types are critical for cancer progression. To understand the molecular mechanisms of these complex interplays, the secreted protein analysis between malignant cancer cells and the surrounding nonmalignant stroma is a good viewpoint to investigate cell-cell interactions. Here, we developed two stable isotope labeling of amino acids in cell culture (SILAC)-based mass spectrometry (MS)/MS approaches termed spike-in SILAC and triple-SILAC to quantify changes of protein secretion level in a cell co-cultured system. Within the co-culture system of CT26 and Ana-1 cells, the spike-in SILAC and triple-SILAC MS approaches are sensitive to quantitatively measure protein secretion changes. Three representative quantified proteins (Galectin-1, Cathepsin L1 and Thrombospondin-1) by two SILAC-based MS methods were further validated by Western blotting, and the coming result matched well with SILACs'. We further applied these two SILACs to human cell lines, NCM460 and HT29 co-culture system, for evaluating the feasibility, which confirmed the spike-in and triple SILAC were capable of monitoring the changed secreted proteins of human cell lines. Considering these two strategies in time consuming, sample complexity and proteome coverage, the triple-SILAC way shows more efficiency and economy for real-time recording secreted protein levels in tumor microenvironment.
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