Background: Cutaneous melanoma is one of the most aggressive and lethal skin cancers. It is greatly important to identify prognostic biomarkers to guide the clinical management. However, it is technically challenging for untrained researchers to process high dimensional profiling data and identify potential prognostic genes in profiling datasets. Methods: In this study, we developed a webserver to analyze the prognostic values of genes in cutaneous melanoma using data from TCGA and GEO databases. The webserver is named Online consensus Survival webserver for Skin Cutaneous Melanoma (OSskcm) which includes 1085 clinical melanoma samples. The OSskcm is hosted in a windows tomcat server. Server-side scripts were developed in Java script. The database system is managed by a SQL Server, which integrates gene expression data and clinical data. The Kaplan-Meier (KM) survival curves, Hazard ratio (HR) and 95% confidence interval (95%CI) were calculated in a univariate Cox regression analysis. Results: In OSskcm, by inputting official gene symbol and selecting proper options, users could obtain KM survival plot with log-rank P value and HR on the output web page. In addition, clinical characters including race, stage, gender, age and type of therapy could also be included in the prognosis analysis as confounding factors to constrain the analysis in a subgroup of melanoma patients. Conclusion: The OSskcm is highly valuable for biologists and clinicians to perform the assessment and validation of new or interested prognostic biomarkers for melanoma. OSskcm can be accessed online at: http://bioin fo.henu.edu. cn/Melan oma/Melan omaLi st.jsp.
Artificial peptide self-assembly is an appealing research subject which has been demonstrated to be a reliable approach to create hierarchical nanostructures and biomaterials. In this paper, a dipeptideamphiphile incorporated with an azobenzene moiety is synthesized, which are found to self-assemble into well-defined laminated nanoribbons as well as macroscopic hydrogel. The nanoribbons are formed by nanofibers aligning in nearly lamellar arrays. The driving force of dipeptide self-assembly is proposed to be a synergic effect of hydrophobic interaction, aromatic packing, and hydrogen bond. The addition of NaCl is found to promote hydrogelation and nanoribbon formation. Finally photoisomerization of the azobenzene group is utilized to rationally control dipeptide self-assembly and hydrogel formation by remote light input.
Herein, one-dimensional double helix is fabricated via supramolecular self-assembly of a sugarbased amphiphile, which can be utilized as soft template to synthesize silica double helices and nanotubes through sol-gel reaction of tetraethyl orthosilicate (TEOS). The self-assembled double helix can be rationally transformed into nonhelical fibers with the aid of conventional ionic surfactants. It is suggested that the introduction of ionic surfactant will impart electrostatic repulsion inside double helix and shape double helices into nanofibers. Interestingly the nonhelical fibers coassembled by C 4 AG and cationic surfactants have been proven to direct the preparation of singlestranded helical SiO 2 through sol-gel polycondensation. This is the first time that both double and single-stranded silica helix have been created in one system.
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