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Sunthar, P.

Publications and source records attributed to Sunthar, P..

3 recordsLinked to original sources

Template-assisted fabrication of moon-shaped channels for protein breakthrough analysis

Cylindrical column with packed stationary phase is the workhorse of liquid chromatography systems. These stationary phases are commonly classified on the basis of different form factors namely, beads and monoliths for protein chromatography. Monolithic rods are one of the important geometries derived from polymers through complex polymerization schemes with additional requirements such as cross-linkers and specific reaction conditions. To address these practical difficulties and enable ease of fabrication at laboratory scale, acrylic copolymers are hypothesized to perform as a monolithic stationary phase suitable for protein chromatography. The present work proposes a rapid fabrication technique to obtain monolithic rods that could be reconditioned without any of the above additional steps. It is characterized with monolith diameter that could be controlled using acrylic copolymer concentration. Formation of the copolymeric stationary phase inside microchannel led to annular geometry and in turn, demonstrated fabrication of moon-shaped channels (MSCs) for the first time in literature. An online monitoring system facilitated tracer breakthrough analysis with MSCs to report sharp peak front and an estimate of channel void volume. Breakthrough curves with single protein validated the selection of blue dextran as tracer and indicated retention of proteins due to electrostatic interactions on the functional copolymer surface.

biochemistry↗

GlycoPathDB: A database of monosaccharide biosynthesis pathways

A distinctive feature of glycans vis-a-vis proteins and nucleic acids is its structural complexity which arises from the huge repertoire of monosaccharides, isomeric linkages and branching. Around 70 monosaccharides have so far been discovered in natural glycans and the pathway for the biosynthesis of 57 of these have been experimentally characterized. However, there is no common platform with a comprehensive information of monosaccharide pathways and enzymes. We have gathered 542 experimentally characterized enzymes of these pathways from literature and set up a first of its kind database called GlycoPathDB (http://www.bio.iitb.ac.in/glycopathdb/). Annotations such as the reaction catalysed, substrate specificity, biosynthesis pathway and PubMed IDs are provided for all the enzymes in the database. Sequence homologs of the experimentally characterized enzymes found in nearly 13,000 completely sequenced genomes from Bacteria and Archaea have also been included in the database. This platform will help in deduction of evolutionary relationships among enzymes such as aminotransferases, nucleotidyltransferases, acetyltransferases and SDR family enzymes. It can also facilitate experimental studies such as direct enzyme assays to validate putative annotations, establish structure-function relationship, expression profiling to determine the function, determine the phenotypic consequences of gene knock-out/knock-in and complementation studies.

bioinformatics↗

Is there a universal glycan alphabet?

Several monosaccharides constitute naturally occurring glycans but it is uncertain if they constitute a universal set like the alphabets of proteins and DNA. Based on the available experimental observations, it is hypothesized herein that the glycan alphabet is not universal. Data on the presence / absence of pathways for the biosynthesis of 55 monosaccharides in 12939 completely sequenced archaeal and bacterial genomes are presented in support of this hypothesis. Pathways were identified by searching for homologs of biosynthesis pathway enzymes. Substantial variations are observed in the set of monosaccharides used by organisms belonging to the same phylum, genera and even species. Monosaccharides are grouped as Common, Less Common and Rare based on their prevalence in Archaea and Bacteria. It is observed that fewer enzymes suffice to biosynthesize the Common group. It appears that the Common group originated before the formation of three domains of life. In contrast, the Rare group are confined to a few species in a few phyla, suggesting that they evolved much later. Fold conservation, as observed in aminotransferases and SDR superfamily members involved in monosaccharide biosynthesis, suggests neo- and sub-functionalization of genes leading to the formation of Rare group monosaccharides. Non-universality of the glycan alphabet begets questions about the role of different monosaccharides in determining an organisms fitness. Impact statementCarbohydrates, nucleic acids and proteins are important classes of biological macromolecules. The universality of DNA, RNA and protein alphabets has been established beyond doubt. However, the universality of glycan alphabet is unknown primarily because of the challenges associated with the elucidation of glycan structures. This has precluded a comprehensive investigation of glycan alphabet. To address this challenge, we have identified the prevalence of 55 monosaccharide biosynthesis pathways in 12939 completely sequenced archaeal and bacterial genomes by searching for homologs of biosynthesis pathway enzymes using HMM profiles, and in a few cases, BLASTp. This revealed that the glycan alphabet is highly variable; in fact, significant differences are found even among different strains of a species. Possible implications of this variability may be significant in understanding the evolution of Archaea and Bacteria in diverse and competitive environments. Factors that drive the choice of monosaccharides used by an organism need to be investigated, and will be of interest in understanding host-pathogen interactions. Additionally, the knowledge of glycan alphabet can be employed for structural characterization / validation of glycans inferred using mass spectrometry. Knowledge of unique monosaccharides and biosynthetic enzymes can also be used as novel drug targets against human pathogens. Data summaryThe curated set of proteins used in this study, with domain assignment, is listed in supplementary_data.xlsx. Corresponding 396 references with evidence of experimental characterization are included in supplementary material. Results of genome scan which include predictions of monosaccharides as well as the biosynthesis pathway enzymes is available at http://www.bio.iitb.ac.in/glycopathdb/ including the aforementioned information. Python script used to scan genomes to search for monosaccharide biosynthesis pathways are available on request.

genomics↗