E-GEOD-44564 - Directed shotgun proteomics guided by RNA-Seq identifies a complete expressed prokaryotic proteome

Released on 23 April 2013, last updated on 29 April 2013
Bartonella henselae
Samples (4)
Protocols (3)
Prokaryotes are, due to their moderate complexity, particularly amenable to the comprehensive identification of the protein repertoire expressed under different conditions. We applied a generic strategy to identify a complete expressed prokaryotic proteome, which is based on the analysis of RNA and proteins extracted from matched samples. Saturated transcriptome profiling by RNA-seq provided an endpoint estimate of the protein-coding genes expressed under two conditions which mimic the interaction of Bartonella henselae with its mammalian host. Directed shotgun proteomics experiments were carried out on four subcellular fractions. By specifically targeting proteins which are short, basic, low abundant and membrane localized, we could eliminate their initial under-representation compared to the estimated endpoint. A total of 1,250 proteins were identified with an estimated false discovery rate below 1%. This represents 85% of all distinct annotated proteins and around 90% of the expressed protein-coding genes. Genes, whose transcripts were detected, but not their corresponding protein products, were found highly enriched in several genomic islands. Additionally, genes that lacked an ortholog and a functional annotation were not detected at the protein level, and possibly include over-predicted genes in genome annotations. Furthermore, a dramatic membrane proteome re-organization was observed including differential regulation of autotransporters, adhesins and hemin binding proteins. Particularly noteworthy was the complete membrane proteome coverage which included expression of all members of the VirB/D4 type IV secretion system, a key virulence factor. Transcriptome and proteome analysis of B.henselae in two conditions and duplicates: uninduced and induced for host invasion.
Experiment type
RNA-seq of coding RNA 
Bernd Roschitzki, Christian H Ahrens, Christoph Dehio, Claudia Fortes, Daniel J Stekhoven, Mark D Robinson, Maxime Quebatte, Ulrich Omasits
Exp. designProtocolsVariablesProcessedSeq. reads
Investigation descriptionE-GEOD-44564.idf.txt
Sample and data relationshipE-GEOD-44564.sdrf.txt
Additional data (1)E-GEOD-44564.additional.1.zip