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Double blind microarray-based polysaccharide profiling enables parallel identification of uncharacterized polysaccharides and carbohydrate-binding proteins with unknown specificities

Marine algae are one of the largest sources of carbon on the planet. The microbial degradation of algal polysaccharides to their constitutive sugars is a cornerstone in the global carbon cycle in oceans. Marine polysaccharides are highly complex and heterogeneous, and poorly understood. This is also...

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Published in:Scientific reports 2018-02, Vol.8 (1), p.2500-11, Article 2500
Main Authors: Salmeán, Armando A., Guillouzo, Alexia, Duffieux, Delphine, Jam, Murielle, Matard-Mann, Maria, Larocque, Robert, Pedersen, Henriette L., Michel, Gurvan, Czjzek, Mirjam, Willats, William G. T., Hervé, Cécile
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creator Salmeán, Armando A.
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description Marine algae are one of the largest sources of carbon on the planet. The microbial degradation of algal polysaccharides to their constitutive sugars is a cornerstone in the global carbon cycle in oceans. Marine polysaccharides are highly complex and heterogeneous, and poorly understood. This is also true for marine microbial proteins that specifically degrade these substrates and when characterized, they are frequently ascribed to new protein families. Marine (meta)genomic datasets contain large numbers of genes with functions putatively assigned to carbohydrate processing, but for which empirical biochemical activity is lacking. There is a paucity of knowledge on both sides of this protein/carbohydrate relationship. Addressing this ‘double blind’ problem requires high throughput strategies that allow large scale screening of protein activities, and polysaccharide occurrence. Glycan microarrays, in particular the Comprehensive Microarray Polymer Profiling (CoMPP) method, are powerful in screening large collections of glycans and we described the integration of this technology to a medium throughput protein expression system focused on marine genes. This methodology (Double Blind CoMPP or DB-CoMPP) enables us to characterize novel polysaccharide-binding proteins and to relate their ligands to algal clades. This data further indicate the potential of the DB-CoMPP technique to accommodate samples of all biological sources.
doi_str_mv 10.1038/s41598-018-20605-9
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subjects 631/449/2669
631/45/72/1205
704/829/827
82/80
Algae
Aquatic Organisms - chemistry
Biochemistry
Biochemistry, Molecular Biology
Carbohydrates
Carbon cycle
Carbon sources
Chlorophyta - chemistry
Data collection
Double-blind studies
Environmental Engineering
Environmental Sciences
Escherichia coli
Glycomics - methods
Humanities and Social Sciences
Life Sciences
Microarray Analysis - methods
Microbial degradation
multidisciplinary
Oceans
Phaeophyceae - chemistry
Plants - chemistry
Polymers
Polysaccharides
Polysaccharides - analysis
Protein families
Proteins
Receptors, Cell Surface - analysis
Rhodophyta - chemistry
Saccharides
Science
Science (multidisciplinary)
title Double blind microarray-based polysaccharide profiling enables parallel identification of uncharacterized polysaccharides and carbohydrate-binding proteins with unknown specificities
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