TY - JOUR A1 - Fröhlich, Kathrin S. A1 - Papenfort, Kai A1 - Berger, Allison A. A1 - Vogel, Jörg T1 - A conserved RpoS-dependent small RNA controls the synthesis of major porin OmpD JF - Nucleic Acids Research N2 - A remarkable feature of many small non-coding RNAs (sRNAs) of Escherichia coli and Salmonella is their accumulation in the stationary phase of bacterial growth. Several stress response regulators and sigma factors have been reported to direct the transcription of stationary phase-specific sRNAs, but a widely conserved sRNA gene that is controlled by the major stationary phase and stress sigma factor, Sigma(S) (RpoS), has remained elusive. We have studied in Salmonella the conserved SdsR sRNA, previously known as RyeB, one of the most abundant stationary phase-specific sRNAs in E. coli. Alignments of the sdsR promoter region and genetic analysis strongly suggest that this sRNA gene is selectively transcribed by Sigma(S). We show that SdsR down-regulates the synthesis of the major Salmonella porin OmpD by Hfq-dependent base pairing; SdsR thus represents the fourth sRNA to regulate this major outer membrane porin. Similar to the InvR, MicC and RybB sRNAs, SdsR recognizes the ompD mRNA in the coding sequence, suggesting that this mRNA may be primarily targeted downstream of the start codon. The SdsR-binding site in ompD was localized by 3'-RACE, an experimental approach that promises to be of use in predicting other sRNA-target interactions in bacteria. KW - shock sigma factor KW - general stress response KW - down regulation KW - stationary phase KW - salmonella enterica KW - messenger RNA KW - escherichia coli KW - enterica serovar typhimurium KW - outer-membrane proteins KW - small noncoding RNAs Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-134230 VL - 40 IS - 8 ER - TY - JOUR A1 - Schmidtke, Cornelius A1 - Findeiß, Sven A1 - Sharma, Cynthia M. A1 - Kuhfuss, Juliane A1 - Hoffmann, Steve A1 - Vogel, Jörg A1 - Stadler, Peter F. A1 - Bonas, Ulla T1 - Genome-wide transcriptome analysis of the plant pathogen Xanthomonas identifies sRNAs with putative virulence functions JF - Nucleic Acids Research N2 - The Gram-negative plant-pathogenic bacterium Xanthomonas campestris pv. vesicatoria (Xcv) is an important model to elucidate the mechanisms involved in the interaction with the host. To gain insight into the transcriptome of the Xcv strain 85-10, we took a differential RNA sequencing (dRNA-seq) approach. Using a novel method to automatically generate comprehensive transcription start site (TSS) maps we report 1421 putative TSSs in the Xcv genome. Genes in Xcv exhibit a poorly conserved -10 promoter element and no consensus Shine-Dalgarno sequence. Moreover, 14% of all mRNAs are leaderless and 13% of them have unusually long 5'-UTRs. Northern blot analyses confirmed 16 intergenic small RNAs and seven cis-encoded antisense RNAs in Xcv. Expression of eight intergenic transcripts was controlled by HrpG and HrpX, key regulators of the Xcv type III secretion system. More detailed characterization identified sX12 as a small RNA that controls virulence of Xcv by affecting the interaction of the pathogen and its host plants. The transcriptional landscape of Xcv is unexpectedly complex, featuring abundant antisense transcripts, alternative TSSs and clade-specific small RNAs. KW - SUBSP carotovora KW - regulatory RNA KW - gene-cluster KW - campestris PV vesicatoria KW - escherichia coli KW - determines pathgenicity KW - hypersensitive response KW - ralstonia solanacearum KW - extracellular enzymes KW - secretion systems KW - transcription initiation site KW - RNA sequence analyses KW - messanger RNA KW - plants KW - libraries KW - genome KW - genes KW - gene expression profiling KW - genetic transcription KW - northern blotting KW - untranslated regions KW - xanthomonas KW - xanthomonas campestris KW - bacteria KW - virulence KW - pathogenetic organism KW - RNA KW - small RNA KW - pathogenicity KW - type III secretion system pathways KW - maps KW - consesus KW - host (organism) KW - type III protein secretion system complex Y1 - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-131781 VL - 40 IS - 5 SP - 2020 EP - 2031 ER - TY - JOUR A1 - Schulte, Leon N. A1 - Westermann, Alexander J. A1 - Vogel, Jörg T1 - Differential activation and functional specialization of miR-146 and miR-155 in innate immune sensing JF - Nucleic Acids Research N2 - Many microRNAs (miRNAs) are co-regulated during the same physiological process but the underlying cellular logic is often little understood. The conserved, immunomodulatory miRNAs miR-146 and miR-155, for instance, are co-induced in many cell types in response to microbial lipopolysaccharide (LPS) to feedback-repress LPS signalling through Toll-like receptor TLR4. Here, we report that these seemingly co-induced regulatory RNAs dramatically differ in their induction behaviour under various stimuli strengths and act non-redundantly through functional specialization; although miR-146 expression saturates at sub-inflammatory doses of LPS that do not trigger the messengers of inflammation markers, miR-155 remains tightly associated with the pro-inflammatory transcriptional programmes. Consequently, we found that both miRNAs control distinct mRNA target profiles; although miR-146 targets the messengers of LPS signal transduction components and thus downregulates cellular LPS sensitivity, miR-155 targets the mRNAs of genes pervasively involved in pro-inflammatory transcriptional programmes. Thus, miR-155 acts as a broad limiter of pro-inflammatory gene expression once the miR-146 dependent barrier to LPS triggered inflammation has been breached. Importantly, we also report alternative miR-155 activation by the sensing of bacterial peptidoglycan through cytoplasmic NOD-like receptor, NOD2. We predict that dosedependent responses to environmental stimuli may involve functional specialization of seemingly coinduced miRNAs in other cellular circuitries as well. KW - Molekulare Infektionsbiologie Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-129765 VL - 41 IS - 1 ER - TY - JOUR A1 - Dimastrogiovanni, Daniela A1 - Fröhlich, Kathrin S. A1 - Bandyra, Katarzyna J. A1 - Bruce, Heather A. A1 - Hohensee, Susann A1 - Vogel, Jörg A1 - Luisi, Ben F. T1 - Recognition of the small regulatory RNA RydC by the bacterial Hfq protein JF - eLife N2 - Bacterial small RNAs (sRNAs) are key elements of regulatory networks that modulate gene expression. The sRNA RydC of Salmonella sp. and Escherichia coli is an example of this class of riboregulators. Like many other sRNAs, RydC bears a 'seed' region that recognises specific transcripts through base-pairing, and its activities are facilitated by the RNA chaperone Hfq. The crystal structure of RydC in complex with E. coli Hfq at 3.48 angstrom resolution illuminates how the protein interacts with and presents the sRNA for target recognition. Consolidating the protein-RNA complex is a host of distributed interactions mediated by the natively unstructured termini of Hfq. Based on the structure and other data, we propose a model for a dynamic effector complex comprising Hfq, small RNA, and the cognate mRNA target. KW - Hfq KW - small RNA KW - natively unstructured protein KW - protein-RNA recognition KW - gene regulation KW - Escherichia coli-Hfq KW - SM-like protein KW - messenger-RNA KW - chaperone Hfq KW - target recognition KW - noncoding RNAs KW - interaction surfaces KW - crystal-structures KW - soluble-RNAs KW - C-Terminus Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-114191 SN - 2050-084X VL - 3 IS - e05375 ER - TY - JOUR A1 - Gorski, Stanislaw A. A1 - Vogel, Jörg A1 - Saliba, Antoine-Emmanuel A1 - Westermann, Alexander J. T1 - Single-cell RNA-seq: advances and future challenges N2 - Phenotypically identical cells can dramatically vary with respect to behavior during their lifespan and this variation is reflected in their molecular composition such as the transcriptomic landscape. Singlecell transcriptomics using next-generation transcript sequencing (RNA-seq) is now emerging as a powerful tool to profile cell-to-cell variability on a genomic scale. Its application has already greatly impacted our conceptual understanding of diverse biological processes with broad implications for both basic and clinical research. Different single-cell RNAseq protocols have been introduced and are reviewed here – each one with its own strengths and current limitations. We further provide an overview of the biological questions single-cell RNA-seq has been used to address, the major findings obtained from such studies, and current challenges and expected future developments in this booming field. KW - RNS Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-110993 ER - TY - JOUR A1 - Schulte, Leon N. A1 - Westermann, Alexander J. A1 - Vogel, Jörg T1 - Differential activation and functional specialization of miR-146 and miR-155 in innate immune sensing N2 - Many microRNAs (miRNAs) are co-regulated during the same physiological process but the underlying cellular logic is often little understood. The conserved, immunomodulatory miRNAs miR-146 and miR-155, for instance, are co-induced in many cell types in response to microbial lipopolysaccharide (LPS) to feedback-repress LPS signalling through Toll-like receptor TLR4. Here, we report that these seemingly co-induced regulatory RNAs dramatically differ in their induction behaviour under various stimuli strengths and act non-redundantly through functional specialization; although miR-146 expression saturates at sub-inflammatory doses of LPS that do not trigger the messengers of inflammation markers, miR-155 remains tightly associated with the pro-inflammatory transcriptional programmes. Consequently, we found that both miRNAs control distinct mRNA target profiles; although miR-146 targets the messengers of LPS signal transduction components and thus downregulates cellular LPS sensitivity, miR-155 targets the mRNAs of genes pervasively involved in pro-inflammatory transcriptional programmes. Thus, miR-155 acts as a broad limiter of pro-inflammatory gene expression once the miR-146 dependent barrier to LPS triggered inflammation has been breached. Importantly, we also report alternative miR-155 activation by the sensing of bacterial peptidoglycan through cytoplasmic NOD-like receptor, NOD2. We predict that dosedependent responses to environmental stimuli may involve functional specialization of seemingly coinduced miRNAs in other cellular circuitries as well. KW - Medizin Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-76365 ET - Advance Access ER - TY - JOUR A1 - El Mouali, Youssef A1 - Gerovac, Milan A1 - Mineikaitė, Raminta A1 - Vogel, Jörg T1 - In vivo targets of Salmonella FinO include a FinP-like small RNA controlling copy number of a cohabitating plasmid JF - Nucleic Acids Research N2 - FinO-domain proteins represent an emerging family of RNA-binding proteins (RBPs) with diverse roles in bacterial post-transcriptional control and physiology. They exhibit an intriguing targeting spectrum, ranging from an assumed single RNA pair (FinP/traJ) for the plasmid-encoded FinO protein, to transcriptome-wide activity as documented for chromosomally encoded ProQ proteins. Thus, the shared FinO domain might bear an unusual plasticity enabling it to act either selectively or promiscuously on the same cellular RNA pool. One caveat to this model is that the full suite of in vivo targets of the assumedly highly selective FinO protein is unknown. Here, we have extensively profiled cellular transcripts associated with the virulence plasmid-encoded FinO in Salmonella enterica. While our analysis confirms the FinP sRNA of plasmid pSLT as the primary FinO target, we identify a second major ligand: the RepX sRNA of the unrelated antibiotic resistance plasmid pRSF1010. FinP and RepX are strikingly similar in length and structure, but not in primary sequence, and so may provide clues to understanding the high selectivity of FinO-RNA interactions. Moreover, we observe that the FinO RBP encoded on the Salmonella virulence plasmid controls the replication of a cohabitating antibiotic resistance plasmid, suggesting cross-regulation of plasmids on the RNA level. KW - antisense RNA KW - Escherichia coli KW - chromosomal genes KW - protein KW - chaperone KW - virulence KW - family KW - HFQ KW - specificity KW - inhibition Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-261072 VL - 49 IS - 9 ER - TY - JOUR A1 - Jiang, Yuxiang A1 - Oron, Tal Ronnen A1 - Clark, Wyatt T. A1 - Bankapur, Asma R. A1 - D'Andrea, Daniel A1 - Lepore, Rosalba A1 - Funk, Christopher S. A1 - Kahanda, Indika A1 - Verspoor, Karin M. A1 - Ben-Hur, Asa A1 - Koo, Da Chen Emily A1 - Penfold-Brown, Duncan A1 - Shasha, Dennis A1 - Youngs, Noah A1 - Bonneau, Richard A1 - Lin, Alexandra A1 - Sahraeian, Sayed M. E. A1 - Martelli, Pier Luigi A1 - Profiti, Giuseppe A1 - Casadio, Rita A1 - Cao, Renzhi A1 - Zhong, Zhaolong A1 - Cheng, Jianlin A1 - Altenhoff, Adrian A1 - Skunca, Nives A1 - Dessimoz, Christophe A1 - Dogan, Tunca A1 - Hakala, Kai A1 - Kaewphan, Suwisa A1 - Mehryary, Farrokh A1 - Salakoski, Tapio A1 - Ginter, Filip A1 - Fang, Hai A1 - Smithers, Ben A1 - Oates, Matt A1 - Gough, Julian A1 - Törönen, Petri A1 - Koskinen, Patrik A1 - Holm, Liisa A1 - Chen, Ching-Tai A1 - Hsu, Wen-Lian A1 - Bryson, Kevin A1 - Cozzetto, Domenico A1 - Minneci, Federico A1 - Jones, David T. A1 - Chapman, Samuel A1 - BKC, Dukka A1 - Khan, Ishita K. A1 - Kihara, Daisuke A1 - Ofer, Dan A1 - Rappoport, Nadav A1 - Stern, Amos A1 - Cibrian-Uhalte, Elena A1 - Denny, Paul A1 - Foulger, Rebecca E. A1 - Hieta, Reija A1 - Legge, Duncan A1 - Lovering, Ruth C. A1 - Magrane, Michele A1 - Melidoni, Anna N. A1 - Mutowo-Meullenet, Prudence A1 - Pichler, Klemens A1 - Shypitsyna, Aleksandra A1 - Li, Biao A1 - Zakeri, Pooya A1 - ElShal, Sarah A1 - Tranchevent, Léon-Charles A1 - Das, Sayoni A1 - Dawson, Natalie L. A1 - Lee, David A1 - Lees, Jonathan G. A1 - Sillitoe, Ian A1 - Bhat, Prajwal A1 - Nepusz, Tamás A1 - Romero, Alfonso E. A1 - Sasidharan, Rajkumar A1 - Yang, Haixuan A1 - Paccanaro, Alberto A1 - Gillis, Jesse A1 - Sedeño-Cortés, Adriana E. A1 - Pavlidis, Paul A1 - Feng, Shou A1 - Cejuela, Juan M. A1 - Goldberg, Tatyana A1 - Hamp, Tobias A1 - Richter, Lothar A1 - Salamov, Asaf A1 - Gabaldon, Toni A1 - Marcet-Houben, Marina A1 - Supek, Fran A1 - Gong, Qingtian A1 - Ning, Wei A1 - Zhou, Yuanpeng A1 - Tian, Weidong A1 - Falda, Marco A1 - Fontana, Paolo A1 - Lavezzo, Enrico A1 - Toppo, Stefano A1 - Ferrari, Carlo A1 - Giollo, Manuel A1 - Piovesan, Damiano A1 - Tosatto, Silvio C. E. A1 - del Pozo, Angela A1 - Fernández, José M. A1 - Maietta, Paolo A1 - Valencia, Alfonso A1 - Tress, Michael L. A1 - Benso, Alfredo A1 - Di Carlo, Stefano A1 - Politano, Gianfranco A1 - Savino, Alessandro A1 - Rehman, Hafeez Ur A1 - Re, Matteo A1 - Mesiti, Marco A1 - Valentini, Giorgio A1 - Bargsten, Joachim W. A1 - van Dijk, Aalt D. J. A1 - Gemovic, Branislava A1 - Glisic, Sanja A1 - Perovic, Vladmir A1 - Veljkovic, Veljko A1 - Almeida-e-Silva, Danillo C. A1 - Vencio, Ricardo Z. N. A1 - Sharan, Malvika A1 - Vogel, Jörg A1 - Kansakar, Lakesh A1 - Zhang, Shanshan A1 - Vucetic, Slobodan A1 - Wang, Zheng A1 - Sternberg, Michael J. E. A1 - Wass, Mark N. A1 - Huntley, Rachael P. A1 - Martin, Maria J. A1 - O'Donovan, Claire A1 - Robinson, Peter N. A1 - Moreau, Yves A1 - Tramontano, Anna A1 - Babbitt, Patricia C. A1 - Brenner, Steven E. A1 - Linial, Michal A1 - Orengo, Christine A. A1 - Rost, Burkhard A1 - Greene, Casey S. A1 - Mooney, Sean D. A1 - Friedberg, Iddo A1 - Radivojac, Predrag A1 - Veljkovic, Nevena T1 - An expanded evaluation of protein function prediction methods shows an improvement in accuracy JF - Genome Biology N2 - Background A major bottleneck in our understanding of the molecular underpinnings of life is the assignment of function to proteins. While molecular experiments provide the most reliable annotation of proteins, their relatively low throughput and restricted purview have led to an increasing role for computational function prediction. However, assessing methods for protein function prediction and tracking progress in the field remain challenging. Results We conducted the second critical assessment of functional annotation (CAFA), a timed challenge to assess computational methods that automatically assign protein function. We evaluated 126 methods from 56 research groups for their ability to predict biological functions using Gene Ontology and gene-disease associations using Human Phenotype Ontology on a set of 3681 proteins from 18 species. CAFA2 featured expanded analysis compared with CAFA1, with regards to data set size, variety, and assessment metrics. To review progress in the field, the analysis compared the best methods from CAFA1 to those of CAFA2. Conclusions The top-performing methods in CAFA2 outperformed those from CAFA1. This increased accuracy can be attributed to a combination of the growing number of experimental annotations and improved methods for function prediction. The assessment also revealed that the definition of top-performing algorithms is ontology specific, that different performance metrics can be used to probe the nature of accurate predictions, and the relative diversity of predictions in the biological process and human phenotype ontologies. While there was methodological improvement between CAFA1 and CAFA2, the interpretation of results and usefulness of individual methods remain context-dependent. KW - Protein function prediction KW - Disease gene prioritization Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-166293 VL - 17 IS - 184 ER - TY - JOUR A1 - Afonso-Grunz, Fabian A1 - Hoffmeier, Klaus A1 - Müller, Sören A1 - Westermann, Alexander J. A1 - Rotter, Björn A1 - Vogel, Jörg A1 - Winter, Peter A1 - Kahl, Günter T1 - Dual 3'Seq using deepSuperSAGE uncovers transcriptomes of interacting Salmonella enterica Typhimurium and human host cells JF - BMC Genomics N2 - Background: The interaction of eukaryotic host and prokaryotic pathogen cells is linked to specific changes in the cellular proteome, and consequently to infection-related gene expression patterns of the involved cells. To simultaneously assess the transcriptomes of both organisms during their interaction we developed dual 3'Seq, a tag-based sequencing protocol that allows for exact quantification of differentially expressed transcripts in interacting pro-and eukaryotic cells without prior fixation or physical disruption of the interaction. Results: Human epithelial cells were infected with Salmonella enterica Typhimurium as a model system for invasion of the intestinal epithelium, and the transcriptional response of the infected host cells together with the differential expression of invading and intracellular pathogen cells was determined by dual 3'Seq coupled with the next-generation sequencing-based transcriptome profiling technique deepSuperSAGE (deep Serial Analysis of Gene Expression). Annotation to reference transcriptomes comprising the operon structure of the employed S. enterica Typhimurium strain allowed for in silico separation of the interacting cells including quantification of polycistronic RNAs. Eighty-nine percent of the known loci are found to be transcribed in prokaryotic cells prior or subsequent to infection of the host, while 75% of all protein-coding loci are represented in the polyadenylated transcriptomes of human host cells. Conclusions: Dual 3'Seq was alternatively coupled to MACE (Massive Analysis of cDNA ends) to assess the advantages and drawbacks of a library preparation procedure that allows for sequencing of longer fragments. Additionally, the identified expression patterns of both organisms were validated by qRT-PCR using three independent biological replicates, which confirmed that RELB along with NFKB1 and NFKB2 are involved in the initial immune response of epithelial cells after infection with S. enterica Typhimurium. KW - complete genome sequence KW - secretion systems KW - RNA-Seq KW - deepSuperSAGE KW - transcriptome KW - gene expression KW - serovar Typhimurium KW - human macrophages KW - epithelial cells KW - infection KW - SuperSAGE KW - receptors KW - Dual 3'seq KW - MACE KW - tag based KW - simultaneous KW - genome wide KW - gene expression profiling KW - host pathogen interaction KW - Salmonella enterica Typhimurium strain SL1344 Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-143230 VL - 16 IS - 323 ER - TY - JOUR A1 - Correia Santos, Sara A1 - Bischler, Thorsten A1 - Westermann, Alexander J. A1 - Vogel, Jörg T1 - MAPS integrates regulation of actin-targeting effector SteC into the virulence control network of Salmonella small RNA PinT JF - Cell Reports N2 - A full understanding of the contribution of small RNAs (sRNAs) to bacterial virulence demands knowledge of their target suites under infection-relevant conditions. Here, we take an integrative approach to capturing targets of the Hfq-associated sRNA PinT, a known post-transcriptional timer of the two major virulence programs of Salmonella enterica. Using MS2 affinity purification and RNA sequencing (MAPS), we identify PinT ligands in bacteria under in vitro conditions mimicking specific stages of the infection cycle and in bacteria growing inside macrophages. This reveals PinT-mediated translational inhibition of the secreted effector kinase SteC, which had gone unnoticed in previous target searches. Using genetic, biochemical, and microscopic assays, we provide evidence for PinT-mediated repression of steC mRNA, eventually delaying actin rearrangements in infected host cells. Our findings support the role of PinT as a central post-transcriptional regulator in Salmonella virulence and illustrate the need for complementary methods to reveal the full target suites of sRNAs. KW - gene expression KW - nondocing RNA KW - chaperone HFQ KW - soluble-RNA KW - SEQ KW - interactome KW - repression KW - secretion KW - infection KW - biology Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-259134 VL - 34 IS - 5 ER -