Response to comment on "Controlling long-term signaling: receptor dynamics determine attenuation and refractory behavior of the TGF-β pathway"-Smad2/3 activity does not predict the dynamics of transcription

Dynamic Visualization of TGF-β/SMAD3 Transcriptional Responses in Single Living Cells

Simple Summary

How a single cytokine can induce a variety of cellular responses in the same cell or in different cells is a longstanding question. Transforming growth factor β (TGF-β) is a prototypical multifunctional cytokine of which biological responses are highly dependent on in a cellular context. TGF-β signals via intracellular SMAD transcription factors, and the duration and intensity of SMAD activation are key determinants for the responses that are elicited by TGF-β. To visualize the TGF-β signaling kinetics, we developed a dynamic TGF-β/SMAD3 transcriptional reporter using a quickly folded and highly unstable green florescent protein. We demonstrate the specificity and sensitivity of this reporter and its wide application to monitor dynamic TGF-β-induced responses in cells cultured on plastic dishes, and in living animals. This tool allows for the analysis of TGF-β signaling at a single living cell level, and allows for the discovery of dynamic TGF-β SMAD- induced transcriptional responses in multi-step biological processes.

Abstract

Transforming growth factor-β (TGF-β) signaling is tightly controlled in duration and intensity during embryonic development and in the adult to maintain tissue homeostasis. To visualize the TGF-β/SMAD3 signaling kinetics, we developed a dynamic TGF-β/SMAD3 transcriptional fluorescent reporter using multimerized SMAD3/4 binding elements driving the expression of a quickly folded and highly unstable GFP protein. We demonstrate the specificity and sensitivity of this reporter and its wide application to monitor dynamic TGF-β/SMAD3 transcriptional responses in both 2D and 3D systems in vitro, as well as in vivo, using live-cell and intravital imaging. Using this reporter in B16F10 cells, we observed single cell heterogeneity in response to TGF-β challenge, which can be categorized into early, late, and non-responders. Because of its broad application potential, this reporter allows for new discoveries into how TGF-β/SMAD3-dependent transcriptional dynamics are affected during multistep and reversible biological processes.

Elevated expression of USP9X correlates with poor prognosis in human non-small cell lung cancer

BACKGROUND

The aim of this study was to investigate the expression of ubiquitin-specific peptidase 9, X-linked (USP9X) in non-small cell lung cancer (NSCLC) patients and to evaluate the relevance of USP9X expression to tumor prognosis.

METHODS

Ninety-five patients who underwent surgical resection for clinical stage I-IIIA NSCLC between July 2008 and July 2011 were included in this study. Immunohistochemical analysis of USP9X expression was performed on 95 NSCLC tissues and 32 adjacent normal lung parenchymal tissues from these patients. The Chi-squared test was used to compare the clinicopathological characteristics between different groups. Kaplan-Meier analysis and a Cox regression model were used to determine the independent prognostic factors. A P value <0.05 was considered to be significant.

RESULTS

The expression of USP9X was found to be significantly higher in NSCLC tissue (44.2%) than in adjacent normal lung parenchymal tissue (6.3%) (P<0.001). High USP9X expression was significantly associated with positive lymph node metastasis (P<0.001), clinical stage (P<0.001) and a reduced overall survival rate (P=0.001) in patients with NSCLC. Based on the multivariate analysis, the elevated expression of the USP9X protein was a significant predictor of poor prognosis for NSCLC patients (HR =2.244, P=0.028).

CONCLUSIONS

The current study demonstrated that the expression of USP9X in NSCLC tissue was significantly higher than that in normal lung tissue and that this elevated expression level of USP9X was associated with poor prognosis among NSCLC patients, suggesting that USP9X might serve as a prognostic biomarker for NSCLC.