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Biology subjects

Robe, P.

Publications and source records attributed to Robe, P..

3 recordsLinked to original sources

Functional exploration of in vivo and in vitro lignocellulose-fed rumen bacterial microbiomes reveals novel enzymes involved in polysaccharide breakdown

BackgroundPlant cell walls are the main carbon sources for ruminal bacteria, which have evolved to produce sophisticated multi-functional enzyme cocktails in response to the structural diversity of lignocelulloses. Since a large proportion of ruminal bacteria are not yet cultured, we developed a high-throughput activity-based metagenomic approach to gain insight into this enzymatic diversity. ResultsA multi-step screening methodology was implemented to identify metagenomic clones acting on polysaccharides and polyaromatic compounds. This approach was used to explore the functional potential of two different microbial consortia derived from in vivo and in vitro enrichments of the bovine rumen microbiome on wheat straw. One hundred and sixty-eight fosmid clones were isolated from libraries. Five to seven times more {beta}-mannanase and {beta}-glucanase clones, and seven times less xylanase clones were obtained from the in vitro enrichment compared to the in vivo one. The sequencing of 51 fosmids, covering in total 1.4 Gb of metagenomic DNA, enabled the identification of various novel glycoside-hydrolases, esterases and oxidoreductases mostly encoded by unknown bacterial genera. Functional analysis showed that most of the identified xylanases belonged to Firmicutes members that were not enriched in the fermenter, while most cellulases and mannanases originate from Bacteroidetes. ConclusionThese enzymes, that, for most of them, had not been previously identified by in depth-metagenome sequencing, present a high potential for biotechnological applications, as they could be used alone or in cocktails to break down plant cell walls. The relationships established between enzyme function and taxonomy highlight the complementary roles played by ruminal Firmicutes and Bacteroidetes in plant cell wall degradation.

biochemistry↗

Assessment of the normal cell contamination impact on tumour samples analysed with SNP arrays: The signal confusion nightmare.

Recent advances in high-throughput technologies enable a more comprehensive interpretation of the tumour evolution through the study of the intra-tumour heterogeneity. Several algorithms, however, often relies on the use of models that described the top of the iceberg regarding the stromal contamination of the samples, making diagnosis difficult to assess. Indeed, such as radio wave receivers, tools to analyse high-throughput technologies data, are used to enable the discrimination between multiple signals differing in frequencies. However, such tools often look at the average frequency more than distinct signals, leading to analyse a confused signal. This confusion could dramatically lead to a mis-interpretation of the real data, especially during the diagnosis as it relies on the choice of a unique scenario among many others. Here, we describe how this signal confusion occurs in the most classical DNA microarray analysis of tumours and we provide statistics to determine how many other possible scenario can lead the same signals, in order to improve the robustness of pigeon hole logic based analysis. Based on simulations, where a unique tumour population was diluted by an increasing gradient of normal cells, we underline the causes and consequences of such signal confusion for up to five allelic copies. Despite the removal of all technical biaises and background noise, we show how the signal confusion remains systematically present in the commonly used DNA microarray analysis, especially for the genotypes AAAAB, AAAB and AAB for copy numbers 5, 4 and 3 respectively, as well as their symmetric combinations for the B allele.

bioinformatics↗

GFAP splice variants fine-tune glioma cell invasion and tumour dynamics by modulating migration persistence.

Glioma is the most common form of malignant primary brain tumours in adults. Their highly invasive nature makes the disease incurable to date, emphasizing the importance of better understanding the mechanisms driving glioma invasion. Glial fibrillary acidic protein (GFAP) is an intermediate filament protein that is characteristic for astrocyte- and neural stem cell-derived gliomas. Glioma malignancy is associated with changes in GFAP alternative splicing, as the canonical isoform GFAP is downregulated in higher-grade tumours, leading to increased dominance of the GFAP{delta} isoform in the network. In this study, we used intravital imaging and an ex vivo brain slice invasion model. We show that the GFAP{delta} and GFAP isoforms differentially regulate the tumour dynamics of glioma cells. Depletion of either isoform increases the migratory capacity of glioma cells. Remarkably, GFAP{delta}-depleted cells migrate randomly through the brain tissue, whereas GFAP-depleted cells show a directionally persistent invasion into the brain parenchyma. This study shows that distinct compositions of the GFAP-network lead to specific migratory dynamics and behaviours of gliomas.

cell biology↗