Abstract

Phosphatase of regenerating liver 3 (PRL3) is suspected to be a causative factor toward cellular metastasis when in excess. To date, the molecular basis for PRL3 function remains an enigma, making efforts at distilling a concerted mechanism for PRL3-mediated metastatic dissemination very difficult. We previously discovered that PRL3 expressing cells exhibit a pronounced increase in protein tyrosine phosphorylation. Here we take an unbiased mass spectrometry-based approach toward identifying the phosphoproteins exhibiting enhanced levels of tyrosine phosphorylation with a goal to define the "PRL3-mediated signaling network." Phosphoproteomic data support intracellular activation of an extensive signaling network normally governed by extracellular ligand-activated transmembrane growth factor, cytokine, and integrin receptors in the PRL3 cells. Additionally, data implicate the Src tyrosine kinase as the major intracellular kinase responsible for "hijacking" this network and provide strong evidence that aberrant Src activation is a major consequence of PRL3 overexpression. Importantly, the data support a PDGF(α/β)-, Eph (A2/B3/B4)-, and Integrin (β1/β5)-receptor array as being the predominant network coordinator in the PRL3 cells, corroborating a PRL3-induced mesenchymal-state. Within this network, we find that tyrosine phosphorylation is increased on a multitude of signaling effectors responsible for Rho-family GTPase, PI3K-Akt, STAT, and ERK activation, linking observations made by the field as a whole under Src as a primary signal transducer. Our phosphoproteomic data paint the most comprehensive picture to date of how PRL3 drives prometastatic molecular events through Src activation.

Highlights

  • Protein-tyrosine phosphatases play critical regulatory roles during signal transduction and when deregulated cause aberrant tyrosine phosphorylation that lies at the heart of many

  • Phosphatase of regenerating liver 3 (PRL3)-Mediated Signaling Network provide molecular evidence supporting the modulation of key proto-oncogenes and tumor suppressors known to govern these processes including: Src tyrosine kinase, Crk-associated substrate (p130Cas), C-terminal Src kinase (Csk), extracellular signal-regulated kinase 1/2 (ERK1/2), and signal transducer and activator of transcription 3 (STAT3) (14 –15), integrin receptors (␣1, ␣5, ␤1) (16 –18), Rho-family GTPases (Cdc42, Rac1 and RhoA/C) (19 –20), matrix metalloproteinase 2 (MMP2) [17], nuclear factor kappa-light-chain-enhancer of activated B cells (NF␬B) [21], p53 [22,23], E-cadherin, phosphatase and tensin homolog (PTEN), phosphoinositide 3-kinase (PI3K)-Akt, and Snail [24]

  • Despite a large number of circumstantial observations implicating PRL3 as a causative factor toward cellular metastasis when in excess, mechanistic evidence is lacking at the molecular level with regard to a putative signaling network that could be responsible for governing pro-metastatic molecular events downstream of PRL3

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Summary

EXPERIMENTAL PROCEDURES

Materials—Dulbecco’s Modification of Eagles Medium (DMEM) with 4.5g/L glucose, L-glutamine, sodium pyruvate, and penicillinstreptomycin (5000 I.U/ml penicillin; 5000 ␮/ml streptomycin) were from Mediatech, Inc. (Manassas, VA). Label-free Quantitative Mass Spectrometry—Stable PRL3-HEK293 cells and their vector control HEK293 cell counterparts were grown to 80% confluence in DMEM supplemented with 10% FBS, penicillin (50 units/ml), and streptomycin (50 ␮g/ml) at 37 °C under a humidified atmosphere containing 5% CO2. A detailed account of the label-free LC/MS-based protein quantification method used in this study, including MS-data acquisition and analysis can be viewed in (26 –28) This “label-free” approach is a quantitative assessment of protein abundance obtained from mass spectral data derived following single-dimension reverse-phase HPLC. Ingenuity Pathway Analysis (IPA)—All proteins from the PRL3 and vector-control datasets that possess a tyrosine-phosphorylated peptide(s) and their corresponding SILAC-based quantification values (1% FDR data following Sequest and Mascot searches of the IPI human v3.83 database) were uploaded to Ingenuity Pathway Analysis (IPA) software (Ingenuity Systems, Inc.). The top scoring network (Network 1) and top 10 predicted canonical pathways and bio-functions (using a B-H (Benjamini-Hochberg) p value adjustment) were used to represent the current data set

RESULTS
B Vec1 Vec2 WT1 WT2
DISCUSSION
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