Molecular Determinants of Snurportin 1 Ligand Affinity and Structural Response upon Binding

The transport of large biomolecules such as proteins and RNA across nuclear pore complexes is a field of strong interest and research. Although the basic mechanisms are fairly well understood, the details of the underlying intermolecular interaction within these transport complexes are still unclear. The recognition dynamics and energetics of cargo binding to the transport receptor are not yet resolved. Here, the binding of dimethylated RNA-caps to snurportin 1 is studied by molecular-dynamics simulations. The simulations reveal a strong structural response of the protein upon RNA-cap release. In particular, major rearrangements occur in regions already intrinsically flexible in the holo structure. Additionally, the difference in free energy of binding to snurportin 1 between the two methylation states of the RNA-cap, responsible for the directionality of the transport is quantified. In particular, desolvation of the ligand is revealed as the key-step in binding to snurportin 1. These findings suggest that the binding of m3G-capped RNA is mainly driven by the enhanced water entropy gain of the solvation shell

Correction: Novel Insight into Mutational Landscape of Head and Neck Squamous Cell Carcinoma.

[This corrects the article DOI: 10.1371/journal.pone.0093102.]

Structural Basis of Substrate Selectivity in the Glycerol-3-Phosphate: Phosphate Antiporter GlpT

Major facilitators represent the largest superfamily of secondary active transporter proteins and catalyze the transport of an enormous variety of small solute molecules across biological membranes. However, individual superfamily members, although they may be architecturally similar, exhibit strict specificity toward the substrates they transport. The structural basis of this specificity is poorly understood. A member of the major facilitator superfamily is the glycerol-3-phosphate (G3P) transporter (GlpT) from the Escherichia coli inner membrane. GlpT is an antiporter that transports G3P into the cell in exchange for inorganic phosphate (Pi). By combining large-scale molecular-dynamics simulations, mutagenesis, substrate-binding affinity, and transport activity assays on GlpT, we were able to identify key amino acid residues that confer substrate specificity upon this protein. Our studies suggest that only a few amino acid residues that line the transporter lumen act as specificity determinants. Whereas R45, K80, H165, and, to a lesser extent Y38, Y42, and Y76 contribute to recognition of both free Pi and the phosphate moiety of G3P, the residues N162, Y266, and Y393 function in recognition of only the glycerol moiety of G3P. It is the latter interactions that give the transporter a higher affinity to G3P over Pi

Novel Insight into Mutational Landscape of Head and Neck Squamous Cell Carcinoma

<div><p>Development of head and neck squamous cell carcinoma (HNSCC) is characterized by accumulation of mutations in several oncogenes and tumor suppressor genes. We have formerly described the mutation pattern of HNSCC and described NOTCH signaling pathway alterations. Given the complexity of the HNSCC, here we extend the previous study to understand the overall HNSCC mutation context and to discover additional genetic alterations. We performed high depth targeted exon sequencing of 51 highly actionable cancer-related genes with a high frequency of mutation across many cancer types, including head and neck. DNA from primary tumor tissues and matched normal tissues was analyzed for 37 HNSCC patients. We identified 26 non-synonymous or stop-gained mutations targeting 11 of 51 selected genes. These genes were mutated in 17 out of 37 (46%) studied HNSCC patients. Smokers harbored 3.2-fold more mutations than non-smokers. Importantly, TP53 was mutated in 30%, NOTCH1 in 8% and FGFR3 in 5% of HNSCC. HPV negative patients harbored 4-fold more TP53 mutations than HPV positive patients. These data confirm prior reports of the HNSCC mutational profile. Additionally, we detected mutations in two new genes, CEBPA and FES, which have not been previously reported in HNSCC. These data extend the spectrum of HNSCC mutations and define novel mutation targets in HNSCC carcinogenesis, especially for smokers and HNSCC without HPV infection.</p></div

Interactions between Neuronal Fusion Proteins Explored by Molecular Dynamics

In this report, we present features of the neuronal SNARE complex determined by atomistic molecular dynamics simulations. The results are robust for three models, varying force fields (AMBER and GROMOS) and solvent environment (explicit and implicit). An excellent agreement with experimental findings is observed. The SNARE core complex behaves like a stiff rod, with limited conformational dynamics. An accurate picture of the interactions within the complex emerges with a characteristic pattern of atomic contacts, hydrogen bonds, and salt bridges reinforcing the underlying layer structure. This supports the metaphor of a molecular Velcro strip that has been used by others to describe the neuronal fusion complex. No evidence for directionality in the formation of these interactions was found. Electrostatics largely dominates all interactions, with an acidic surface patch structuring the hydration layers surrounding the complex. The interactions within the four-helix bundle are asymmetric, with the synaptobrevin R-SNARE notably exhibiting an increased rigidity with respect to the three Q-SNARE helices. The interaction patterns we observe provide a new tool for interpreting the impact of mutations on the complex

Clinical characteristics of the cohort.

<p>Clinical characteristics of the cohort.</p

Complete list of point mutations among the 11 cancer genes sequenced in the 37 HNSCC tumor tissues.

<p>Complete list of point mutations among the 11 cancer genes sequenced in the 37 HNSCC tumor tissues.</p