Characterizing domain-specific open educational resources by linking ISCB Communities of Special Interest to Wikipedia.

MOTIVATION: Wikipedia is one of the most important channels for the public communication of science and is frequently accessed as an educational resource in computational biology. Joint efforts between the International Society for Computational Biology (ISCB) and the Computational Biology taskforce of WikiProject Molecular Biology (a group of expert Wikipedia editors) have considerably improved computational biology representation on Wikipedia in recent years. However, there is still an urgent need for further improvement in quality, especially when compared to related scientific fields such as genetics and medicine. Facilitating involvement of members from ISCB Communities of Special Interest (COSIs) would improve a vital open education resource in computational biology, additionally allowing COSIs to provide a quality educational resource highly specific to their subfield. RESULTS: We generate a list of around 1500 English Wikipedia articles relating to computational biology and describe the development of a binary COSI-Article matrix, linking COSIs to relevant articles and thereby defining domain-specific open educational resources. Our analysis of the COSI-Article matrix data provides a quantitative assessment of computational biology representation on Wikipedia against other fields and at a COSI-specific level. Furthermore, we conducted similarity analysis and subsequent clustering of COSI-Article data to provide insight into potential relationships between COSIs. Finally, based on our analysis, we suggest courses of action to improve the quality of computational biology representation on Wikipedia.

Somatic mutation analyses of stem-like cells in gingivobuccal oral squamous cell carcinoma reveals DNA damage response genes.

Gingivobuccal oral squamous cell carcinoma (OSCC-GB) occurs among persons who excessively chew smokeless tobacco in India. To understand the role of cancer stem cells (CSCs) in the disease, we have performed transcriptomics analysis on RNA-seq data from OSCC-GB primary tumors. The mutational signature analysis of the identified novel and Catalogue of Somatic Mutations in Cancer (COSMIC) variants reveals DNA damage associated etiology based on identified COSMIC signatures showing a higher prevalence of C > T mutations and 1 bp T/(A) nucleotide insertions, pointing to the role of smokeless tobacco carcinogens. The differential somatic mutational, functional impact predictions, and survival analysis reveals the role of DNA damage response-related genes, with the CREBBP gene as a major player. The new CSC somatic variants identified in the study may play a crucial role in cancer metastasis, local-regional recurrence, chemo- and/or radioresistance that contributes to high mortality of the Indian OSCC-GB patients.

Subventricular zone involvement in Glioblastoma - A proteomic evaluation and clinicoradiological correlation.

Glioblastoma multiforme (GBM), the most malignant of all gliomas is characterized by a high degree of heterogeneity and poor response to treatment. The sub-ventricular zone (SVZ) is the major site of neurogenesis in the brain and is rich in neural stem cells. Based on the proximity of the GBM tumors to the SVZ, the tumors can be further classified into SVZ+ and SVZ-. The tumors located in close contact with the SVZ are classified as SVZ+, while the tumors located distantly from the SVZ are classified as SVZ-. To gain an insight into the increased aggressiveness of SVZ+ over SVZ- tumors, we have used proteomics techniques like 2D-DIGE and LC-MS/MS to investigate any possible proteomic differences between the two subtypes. Serum proteomic analysis revealed significant alterations of various acute phase proteins and lipid carrying proteins, while tissue proteomic analysis revealed significant alterations in cytoskeletal, lipid binding, chaperone and cell cycle regulating proteins, which are already known to be associated with disease pathobiology. These findings provide cues to molecular basis behind increased aggressiveness of SVZ+ GBM tumors over SVZ- GBM tumors and plausible therapeutic targets to improve treatment modalities for these highly invasive tumors.