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Structural Basis of the PNRC2-Mediated Link between mRNA Surveillance and Decapping
Lai, T.,Cho, H.,Liu, Z.,Bowler, Matthew W.,Piao, S.,Parker, R.,Kim, Y.,Song, H. Current Biology 2012 Structure Vol.20 No.12
Nonsense-mediated mRNA decay (NMD) is an important mRNA surveillance system, and human PNRC2 protein mediates the link between mRNA surveillance and decapping. However, the mechanism by which PNRC2 interacts with the mRNA surveillance machinery and stimulates NMD is unknown. Here, we present the crystal structure of Dcp1a in complex with PNRC2. The proline-rich region of PNRC2 is bound to the EVH1 domain of Dcp1a, while its NR-box mediates the interaction with the hyperphosphorylated Upf1. The mode of PNRC2 interaction with Dcp1a is distinct from those observed in other EVH1/proline-rich ligands interactions. Disruption of the interaction of PNRC2 with Dcp1a abolishes its P-body localization and ability to promote mRNA degradation when tethered to mRNAs. PNRC2 acts in synergy with Dcp1a to stimulate the decapping activity of Dcp2 by bridging the interaction between Dcp1a and Dcp2, suggesting that PNRC2 is a decapping coactivator in addition to its adaptor role in NMD.
Atsushi Nambu,Jordan Zach,Song Soo Kim,Gongyoung Jin,Joyce Schroeder,Yu-Il Kim,Russell Bowler,David A Lynch 대한영상의학회 2018 Korean Journal of Radiology Vol.19 No.1
Objective: To assess clinical feasibility of low-attenuation cluster analysis in evaluation of chronic obstructive pulmonary disease (COPD). Materials and Methods: Subjects were 199 current and former cigarette smokers that underwent CT for quantification of COPD and had physiological measurements. Quantitative CT (QCT) measurements included low-attenuation area percent (LAA%) (voxels ≤ -950 Hounsfield unit [HU]), and two-dimensional (2D) and three-dimensional D values of cluster analysis at three different thresholds of CT value (-856, -910, and -950 HU). Correlation coefficients between QCT measurements and physiological indices were calculated. Multivariable analyses for percentage of predicted forced expiratory volume at one second (%FEV1) was performed including sex, age, body mass index, LAA%, and D value had the highest correlation coefficient with %FEV1 as independent variables. These analyses were conducted in subjects including those with mild COPD (global initiative of chronic obstructive lung disease stage = 0–II). Results: LAA% had a higher correlation coefficient (-0.549, p < 0.001) with %FEV1 than D values in subjects while 2D D-910HU (-0.350, p < 0.001) revealed slightly higher correlation coefficient than LAA% (-0.343, p < 0.001) in subjects with mild COPD. Multivariable analyses revealed that LAA% and 2D D value-910HU were significant independent predictors of %FEV1 in subjects and that only 2D D value-910HU revealed a marginal p value (0.05) among independent variables in subjects with mild COPD. Conclusion: Low-attenuation cluster analysis provides incremental information regarding physiologic severity of COPD, independent of LAA%, especially with mild COPD.