Integration Analysis of Three Omics Data Using Penalized Regression Methods: An Application to Bladder Cancer

Omics data integration is becoming necessary to investigate the genomic mechanisms involved in complex diseases. During the integration process, many challenges arise such as data heterogeneity, the smaller number of individuals in comparison to the number of parameters, multicollinearity, and interpretation and validation of results due to their complexity and lack of knowledge about biological processes. To overcome some of these issues, innovative statistical approaches are being developed. In this work, we propose a permutation-based method to concomitantly assess significance and correct by multiple testing with the MaxT algorithm. This was applied with penalized regression methods (LASSO and ENET) when exploring relationships between common genetic variants, DNA methylation and gene expression measured in bladder tumor samples. The overall analysis flow consisted of three steps: (1) SNPs/CpGs were selected per each gene probe within 1Mb window upstream and downstream the gene; (2) LASSO and ENET were applied to assess the association between each expression probe and the selected SNPs/CpGs in three multivariable models (SNP, CPG, and Global models, the latter integrating SNPs and CPGs); and (3) the significance of each model was assessed using the permutation-based MaxT method. We identified 48 genes whose expression levels were significantly associated with both SNPs and CPGs. Importantly, 36 (75%) of them were replicated in an independent data set (TCGA) and the performance of the proposed method was checked with a simulation study. We further support our results with a biological interpretation based on an enrichment analysis. The approach we propose allows reducing computational time and is flexible and easy to implement when analyzing several types of omics data. Our results highlight the importance of integrating omics data by applying appropriate statistical strategies to discover new insights into the complex genetic mechanisms involved in disease conditions.     

High-throughput RNA extraction from plant samples based on homogenisation by reciprocal shaking in the presence of a mixture of sand and glass beads

We describe here a reliable high-throughput method for extraction of RNA from fresh or frozen plant tissue that obviates laborious and time-consuming homogenisation by mortar and pestle. The method is based on homogenisation by high-speed reciprocal shaking in presence of a mixture of inexpensive abrasive materials; i.e., quartz sand and glass beads. After homogenisation, the method follows a standard procedure for RNA extraction by phenol/LiCl. Yield and quality of RNA obtained by homogenisation with the sand/glass bead mix are identical to those obtained by mortar and pestle.     

Epidermal necrolysis: mechanisms of keratinocyte apoptosis

Toxic epidermal necrolysis and Stevens-Johnson syndrome are acute and severe adverse reaction to drugs, characterized by the widespread destruction of the epithelium of the skin and mucous membranes. This destruction by massive apoptosis leads to a clinical pattern of epidermal necrolysis resembling second degree burns, with sheets of necrotic epidermis detached from the underlying dermis. The mechanisms of acute and extensive destruction of the skin are not yet fully understood. At the onset of the reaction blisters develop from the fluid that accumulates between the dead epidermis and the dermis. High concentrations of mononuclear cells are present in this blister fluid, principally CD8 T-lymphocytes that may exhibit a drug specific MHC class I restricted cytotoxicity against autologous cells. The intervention of soluble mediators such as TNFalpha, perforin/granzyme, or Fas-Ligand may be necessary for amplifying the apoptosis of keratinocytes. A strong association between epidermal necrolysis to certain drugs and rare HLA-B genotypes suggests that direct interaction between these drugs and HLA-B molecules may initiate a reaction resembling the acute rejection of allogeneic epidermis.     

Brilliant camouflage: photonic crystals in the diamond weevil, Entimus imperialis

The neotropical diamond weevil, Entimus imperialis, is marked by rows of brilliant spots on the overall black elytra. The spots are concave pits with intricate patterns of structural-coloured scales, consisting of large domains of three-dimensional photonic crystals that have a diamond-type structure. Reflectance spectra measured from individual scale domains perfectly match model spectra, calculated with anatomical data and finite-difference time-domain methods. The reflections of single domains are extremely directional (observed with a point source less than 5°), but the special arrangement of the scales in the concave pits significantly broadens the angular distribution of the reflections. The resulting virtually angle-independent green coloration of the weevil closely approximates the colour of a foliaceous background. While the close-distance colourful shininess of E. imperialis may facilitate intersexual recognition, the diffuse green reflectance of the elytra when seen at long-distance provides cryptic camouflage.