Please note that we have stopped the regular imports of Gene Expression Omnibus (GEO) data into ArrayExpress. This may not be the latest version of this experiment.
E-GEOD-56291 - Metabolism of sialic acid by Bifidobacterium breve UCC2003
Released on 29 May 2014, last updated on 12 June 2014
Bifidobacterium breve UCC2003
Bifidobacteria constitute a specific group of commensal bacteria which inhabit the gastrointestinal tract of humans and other mammals. Bifidobacterium breve UCC2003 has previously been shown to utilise several plant-derived carbohydrates that include cellodextrins, starch and galactan. In the current study, we investigate the ability of this strain to utilise the mucin- and human milk oligosaccharide (HMO)-derived carbohydrate, sialic acid. Using a combination of transcriptomic and functional genomic approaches, we identified a gene cluster dedicated to the uptake and metabolism of sialic acid. Furthermore, we demonstrate that B. breve UCC2003 can cross feed on sialic acid derived from the metabolism of 3’ sialyllactose, a HMO, by Bifidobacterium bifidum PRL2010. DNA-microarrays containing oligonucleotide primers representing each of the 1864 annotated genes on the genome of B. breve UCC2003 (O'Connell Motherway et al., 2011) were designed by and obtained from Agilent Technologies (Palo Alto, Ca., USA). Methods for cell disruption, RNA isolation, RNA quality control, complementary DNA synthesis and labeling were performed as described previously (Pokusaeva et al., 2009). Labeled cDNA was hybridized using the Agilent Gene Expression hybridization kit (part number 5188-5242) as described in the Agilent Two-Color Microarray-Based Gene Expression Analysis v4.0 manual (G4140-90050). Following hybridization, microarrays were washed in accordance with Agilent’s standard procedures and scanned using an Agilent DNA microarray scanner (model G2565A). Generated scans were converted to data files with Agilent's Feature Extraction software (Version 9.5). DNA-microarray data were processed as previously described (Garcia De La Nava et al., 2003). Differential expression tests were performed with the Cyber-T implementation of a variant of the t-test (Long et al., 2001). A gene was considered differentially expressed when p < 0.001 and an expression ratio of >3 or <0.33 relative to the control.
transcription profiling by array
Mary O'Connell Motherway <firstname.lastname@example.org>, Muireann Egan