Nuclear expression of phosphorylated TRAF2- and NCK-interacting kinase in hepatocellular carcinoma is associated with poor prognosis.

BACKGROUND AND AIMS: TRAF2- and NCK-interacting kinase (TNIK) is a member of the germinal center kinase family and a transcription factor 4 (TCF4) interactor is recruited to promoters of Wnt target genes via phosphorylation of the TCF/ß-catenin complex. The aim of this study was to evaluate the TNIK, the active form of TNIK (p-TNIK), and ß-catenin expression in hepatocellular carcinoma (HCC), and to identify the prognostic significance of p-TNIK. METHODS: We assessed the expression status of TNIK, p-TNIK, and ß-catenin by using immunohistochemical analysis of 302 HCCs in 8 tissue microarray blocks, and we evaluated their clinicopathologic features and survival rates based on their p-TNIK expression. RESULTS: Of 302 HCCs, 92.7% stained positive for TNIK in the cytoplasm. Nuclear expression of p-TNIK was identified in 7.9% HCCs. Aberrant cytoplasmic expression of ß-catenin was identified in 77.2% and nuclear expression in 3.3%. p-TNIK nuclear staining was positively correlated to ß-catenin nuclear expression (P=0.036). Cytoplasmic and nuclear expression of p-TNIK was more frequently observed in high Edmondson-Steiner (ES) nuclear grade groups (P=0.030). Nuclear p-TNIK expression was also associated with pathological M1 stage (pM1 stage) patients (P<0.0001). Aberrant cytoplasmic expression of ß-catenin was more frequently identified in larger tumors (P=0.014). Univariate (DFS, P=0.049; OS, 0.037) and multivariate analysis (DFS, P=0.006; OS, P=0.003) confirmed the independent prognostic significance of nuclear p-TNIK expression. CONCLUSION: This is the first time that nuclear p-TNIK expression was studied in HCC, and p-TNIK nuclear expression was associated with poor prognosis and is a candidate prognostic marker for HCC.

Biomechanical analysis of gait adaptation in the nematode Caenorhabditis elegans.

To navigate different environments, an animal must be able to adapt its locomotory gait to its physical surroundings. The nematode Caenorhabditis elegans, between swimming in water and crawling on surfaces, adapts its locomotory gait to surroundings that impose approximately 10,000-fold differences in mechanical resistance. Here we investigate this feat by studying the undulatory movements of C. elegans in Newtonian fluids spanning nearly five orders of magnitude in viscosity. In these fluids, the worm undulatory gait varies continuously with changes in external load: As load increases, both wavelength and frequency of undulation decrease. We also quantify the internal viscoelastic properties of the worm's body and their role in locomotory dynamics. We incorporate muscle activity, internal load, and external load into a biomechanical model of locomotion and show that (i) muscle power is nearly constant across changes in locomotory gait, and (ii) the onset of gait adaptation occurs as external load becomes comparable to internal load. During the swimming gait, which is evoked by small external loads, muscle power is primarily devoted to bending the worm's elastic body. During the crawling gait, evoked by large external loads, comparable muscle power is used to drive the external load and the elastic body. Our results suggest that C. elegans locomotory gait continuously adapts to external mechanical load in order to maintain propulsive thrust.

LC-mass spectrometry analysis of N- and C-terminal boundary sequences of polypeptide fragments by limited proteolysis.

Limited proteolysis is an important and widely used method for analyzing the tertiary structure and determining the domain boundaries of proteins. Here we describe a novel method for determining the N- and C-terminal boundary amino acid sequences of products derived from limited proteolysis using semi-specific and/or non-specific enzymes, with mass spectrometry as the only analytical tool. The core of this method is founded on the recognition that cleavage of proteins with non-specific proteases is not random, but patterned. Based on this recognition, we have the ability to determine the sequence of each proteolytic fragment by extracting a common association between data sets containing multiple potential sequences derived from two or more different mass spectral molecular weight measurements. Proteolytic product sequences derived from specific and non-specific enzymes can be accurately determined without resorting to the conventional time-consuming and laborious methods of SDS-PAGE and N-terminal sequencing analysis. Because of the sensitivity of mass spectrometry, multiple transient proteolysis intermediates can also be identified and analyzed by this method, which allows the ability to monitor the progression of proteolysis and thereby gain insight into protein structures.