Search bioRxiv⌕ Search

Biology subjects

Salekdeh, G. H.

Publications and source records attributed to Salekdeh, G. H..

2 recordsLinked to original sources

Experimental glaucoma retinal proteomics identifies mutually exclusive and overlapping molecular characteristics with human glaucoma

Current evidence suggests that exposure to chronically induced intraocular pressure (IOP) leads to neurodegenerative changes in the inner retina. This study aimed to determine retinal proteomic alterations in a rat model of glaucoma and compared findings with human retinal proteomics changes in glaucoma reported previously. We developed an experimental glaucoma rat model by subjecting the rats to increased IOP (9.3{+/-}0.1 vs 20.8{+/-}1.6 mm Hg) by weekly microbead injections into the eye (8 weeks). The retinal tissues were harvested from control and glaucomatous eyes and protein expression changes analysed using multiplexed quantitative proteomics approach. Immunofluorescence was performed for selected protein markers for data validation. Our study identified 4304 proteins in the rat retinas. Out of these, 139 proteins were downregulated ([≤]0.83) while expression of 109 proteins was upregulated ([≥]1.2-fold change) under glaucoma conditions (p[≤]0.05). Computational analysis revealed reduced expression of proteins associated with glutathione metabolism, mitochondrial dysfunction/oxidative phosphorylation, cytoskeleton and actin filament organisation, along with increased expression coagulation cascade, apoptosis, oxidative stress and RNA processing markers. Further functional network analysis highlighted the differential modulation of nuclear receptor signalling, cellular survival, protein synthesis, transport and cellular assembly pathways. Alterations in crystallin family, glutathione metabolism and mitochondrial dysfunction associated proteins shared similarities between the animal model of glaucoma and the human disease condition. In contrast, the activation of the classical complement pathway and upregulation of cholesterol transport proteins, were exclusive to the human glaucoma. These findings provide insights into the neurodegenerative mechanisms that are specifically affected in the retina in response to chronically elevated IOP.

neuroscience↗

TAXyl: An in-silico method for predicting the thermal activity for xylanases from GH10 and GH11 families

Growing industrial utilization of enzymes, and the increasing availability of metagenomic data highlights the demand for effective methods of targeted identification and verification of novel enzymes from various environmental microbiota. Xylanases are a class of enzymes with numerous industrial applications and are involved in the degradation of xylose, a component of lignocellulose. Optimum temperature of enzymes are essential factors to be considered when choosing appropriate biocatalysts for a particular purpose. Therefore, in-silico prediction of this attribute is a significant cost and time-effective step in the effort to characterize novel enzymes. The objective of this study was to develop a computational method to predict the thermal dependence of xylanases. This tool was then implemented for targeted screening of putative xylanases with specific thermal dependencies from metagenomic data and resulted in identification of three novel xylanases from sheep and cow rumen microbiota. Here we present TAXyl (Thermal Activity Prediction for Xylanase), a new sequence-based machine learning method that has been trained using a selected combination of various protein features. This random forest classifier discriminates non-thermophilic, thermophilic, and hyper-thermophilic xylanases. Models performance was evaluated through multiple iterations of six-fold cross-validations, and it exhibited a mean accuracy of [~]0.79. TAXyl is freely accessible as a web-service.

bioinformatics↗