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Bordetellen sind Gram-negative Kokkobazillen, die phylogenetisch zu den β-Proteobakterien zählen und in der Familie der Alcaligenaceae eingeordnet sind. Der bedeutendste Vertreter der Gattung, die nach heutigem Kenntnisstand neun Arten umfasst, ist Bordetella pertussis, der Erreger des Keuchhustens. Der Keim ist obligat humanpathogen und besitzt zahlreiche Virulenzfaktoren, um die Epithelzellen des Respirationstraktes zu besiedeln und zu zerstören, wodurch es zu dem charakteristischen Krankheitsverlauf kommt. Neben B. pertussis werden noch B. bronchiseptica und B. parapertussis dem sogenannten B. bronchiseptica-Cluster zugeteilt. Alle Vertreter des B. bronchiseptica-Clusters sind in der Lage, bei verschiedenen Wirtsspezies respiratorische Erkrankungen mit unterschiedlichem Schweregrad auszulösen. Dabei weist B. bronchiseptica ein breiteres Wirtsspektrum auf und kann Atemwegserkrankungen in einer Vielzahl von Säugetieren auslösen, wohingegen B. parapertussis vornehmlich Schafe und Menschen infiziert und bei letzteren eine schwächere Form des Keuchhustens bewirkt. Das Hfq-Protein wurde ursprünglich als Wirtsfaktor identifiziert, welcher für die Replikation des RNA-Phagen Qβ in Escherichia coli benötigt wird (host factor for Qβ oder HF-1). Es ist in Struktur und Funktion homolog zu den Sm-Proteinen aus Eukaryoten, die am Splicing von mRNAs involviert sind. Die Beteiligung des Hfq-Proteins an regulatorischen Vorgängen, die durch kleine nicht-kodierende RNAs (sRNAs) vermittelt werden, wurde erstmals in einer Studie zum Mechanismus der rpoS-Regulation durch die kleine regulatorische RNA OxyS ersichtlich. Seitdem konnte für eine Vielzahl an sRNAs gezeigt werden, dass sie an Hfq gebunden vorliegen und die Hilfe des Proteins bei der post-transkriptionellen Kontrolle ihrer Ziel-mRNAs benötigen. In dieser Hinsicht übernimmt Hfq die Rolle eines RNA-Chaperons, indem es trans-kodierte sRNAs stabilisiert und die Basenpaarung mit ihren Ziel-mRNAs fördert. Dabei beeinflusst die Bindung der sRNA-Regulatoren an ihre Ziel-mRNAs deren Translation, sowohl aktivierend als auch inhibierend. Bislang wurden Hfq-Homologe in der Hälfte aller sequenzierten Gram-positiven und Gram-negativen Bakterienarten gefunden. Eine BLAST-Analyse ergab, dass B. pertussis und B. bronchiseptica Homologe zum Hfq-Protein aufweisen und diese in der veröffentlichten Genomsequenz bereits als Hfq-Protein annotiert sind. Fokus dieser Arbeit war weitestgehend, die Funktion des Hfq-Proteins in B. pertussis und vergleichend in B. bronchiseptica zu charakterisieren. Mittels Primer Extension-Analyse konnte zunächst der Startpunkt des hfq-Transkripts in B. pertussis und B. bronchiseptica unter logarithmischen Wachstumsbedingungen bestimmt werden. Dieser Startpunkt war zudem unter stationären Wachstumsbedingungen und nach Hitzestress aktiv, was in Diskrepanz zur Beobachtung in E. coli steht. Ferner konnte festgestellt werden, dass die hfq-Transkription nach Induktion verschiedener Stressformen in beiden Organismen erhöht war. Nach Generierung der jeweiligen Δhfq-Mutanten in beiden Organismen wurden diese charakterisiert. Die B. pertussis Δhfq-Mutante zeigte ein deutliches Wachstumsdefizit gegenüber dem Wildtyp, im Gegensatz zu B. bronchiseptica Δhfq, die sich im Wachstum wie der Wildtyp verhielt. Beide Mutanten zeigten sich sensitiver gegenüber H2O2-Stress als der Wildtyp, nicht jedoch gegenüber weiteren oxidativen Stressbedingungen oder Membranstress induzierenden Substanzen. Die Δhfq-Mutante in B. pertussis war zudem in ihrer Fähigkeit zur Biofilmbildung beeinträchtigt, was jedoch nicht für B. bronchiseptica Δhfq galt. Da Hfq an sRNA-mRNA-Interaktionen, welche die Translation der mRNAs beeinflussen, beteiligt ist, sollte über 2D-Gelelektrophorese das Hfq-regulierte Proteom in B. pertussis und B. bronchiseptica bestimmt werden. Auffällig war, dass viele periplasmatische Transport-bindeproteine von der Δhfq-Mutation betroffen waren. Es zeigten sich aber auch Stoffwechselenzyme und wichtige Housekeeping-Faktoren, wie z. B. der Elongationsfaktor EF-Tu und das Chaperon GroEL, in der Δhfq-Mutante dereguliert. Generell scheint das Hfq-regulierte Proteom in B. pertussis und B. bronchiseptica nur einen kleinen Teil des gesamten Proteoms auszumachen. Zudem ist das Hfq-regulierte Proteom variabel zwischen verschiedenen Wachstumsbedingungen, aber auch zwischen den beiden Organismen trotz der engen Verwandtschaft. Die Expression ausgewählter Virulenzfaktoren zeigte keinen Unterschied zwischen Δhfq-Mutante und B. pertussis-Wildtyp.
We review fluorescent probes that can be photoswitched or photoactivated and are suited for single-molecule localization based super-resolution microscopy. We exploit the underlying photochemical mechanisms that allow photoswitching of many synthetic organic fluorophores in the presence of reducing agents, and study the impact of these on the photoswitching properties of various photoactivatable or photoconvertible fluorescent proteins. We have identified mEos2 as a fluorescent protein that exhibits reversible photoswitching under various imaging buffer conditions and present strategies to characterize reversible photoswitching. Finally, we discuss opportunities to combine fluorescent proteins with organic fluorophores for dual-color photoswitching microscopy.
We review fluorescent probes that can be photoswitched or photoactivated and are suited for single-molecule localization based super-resolution microscopy. We exploit the underlying photochemical mechanisms that allow photoswitching of many synthetic organic fluorophores in the presence of reducing agents, and study the impact of these on the photoswitching properties of various photoactivatable or photoconvertible fluorescent proteins. We have identified mEos2 as a fluorescent protein that exhibits reversible photoswitching under various imaging buffer conditions and present strategies to characterize reversible photoswitching. Finally, we discuss opportunities to combine fluorescent proteins with organic fluorophores for dual-color photoswitching microscopy.
Yersinia enterocolitica subsp. palearctica serobiotype O:3/4 comprises about 80-90 % of all human patient isolates in Germany and Europe and is responsible for sporadic cases worldwide. Even though this serobiotype is low pathogenic, Y. enterocolitica subsp. palearctica serobiotype O:3/4 is involved in gastroenteritis, lymphadenitis and various extraintestinal sequelae as reactive arthritis. The main animal reservoir of this serobiotype are pigs, causing a high rate of O:3/4 contaminations of raw pork in butcher shops in Germany (e.g. Bavaria 25 %) and countries in north-east Europe. As Y. enterocolitica O:3/4 is geographically and phylogenetically distinct from the so far sequenced mouse-virulent O:8/1B strain, complete genome sequencing has been performed for the European serobiotype O:3/4 DSMZ reference strain Y11, which has been isolated from a patient stool. To gain greater insight into the Y. enterocolitica subspecies palearctica group, also draft genome sequences of two other human O:3/4 isolates (strains Y8265, patient isolate, and Y5307, patient isolate associated with reactive arthritis), a closely related Y. enterocolitica palearctica serobiotype O:5,27/3 (strain Y527P), and two biotype 1A strains (a nosocomial strain of serogroup O:5 and an environmental serogroup O:36 isolate) have been performed. Those strains were compared to the high-pathogenic Y. enterocolitica subsp. enterocolitica serobiotype O:8/1B strain 8081 to address the peculiarities of the strain Y11 and the Y. enterocolitica subspecies palearctica group. The main focus was to unravel the pathogenic potential of strain Y11 and thus to identify novel putative virulence genes and fitness factors, especially those that may constitute host specificity of serobiotype O:3/4. Y. enterocolitica subspecies palearctica serobiotype O:3/4 strains lack most of the mouse-virulence-associated determinants of Y. enterocolitica subsp. enterocolitica serotype O:8, for example the HPI, Yts1 type 2 and Ysa type three secretion systems. In comparison, serobiotype O:3/4 strains obviously acquired a different set of genes and genomic islands for virulence and fitness such as the Ysp type three secretion system, an RtxA-like putative toxin, insecticidal toxins and a functional PTS system for N-acetyl-galactosamine uptake, named aga-operon. The aga-operon is able to support the growth of the Y. enterocolitica subsp. enterocolitica O:8/1B on N-acetyl-galactosamine after transformation with the aga operon. Besides these genes, also two prophages, PhiYep-2 and PhiYep-3, and a asn tRNA-associated GIYep-01 genomic island might influence the Y. enterocolitica subsp. palearctica serobiotype O:3/4 pathoadaptation. The PhiYep-3 prophage and the GIYep-01 island show recombination activity and PhiYep-3 was not found in all O:3/4 strains of a small strain collection tested. Y. enterocolitica subsp. palearctica serobiotype O:5,27/3 strain Y527P was found to be closely related to all serobiotype O:3/4 strains, whereas the biotype 1A isolates have more mosaic-segmented genomes and share putative virulence genes both with serobiotypes O:8/1B and O:3/4, which implies their common descent. Besides the pYV virulence plasmid, biotype 1A strains lack classical virulence markers as the Ail adhesin, the YstA enterotoxin, and the virulence-associated protein C. Interestingly, there are no notable differences between the known virulence factors present in nosocomial and environmental strains, except the presence of a truncated Rtx toxin-like gene cluster and remnants of a P2-like prophage in the hospital serogroup O:5 isolate.
Background:
Small animal models of human diseases are an indispensable aspect of pre-clinical research. Being dynamic, most pathologies demand extensive longitudinal monitoring to understand disease mechanisms, drug efficacy and side effects. These considerations often demand the concomitant development of monitoring systems with sufficient temporal and spatial resolution.
Methodology and Results:
This study attempts to configure and optimize a clinical 3 Tesla magnetic resonance scanner to facilitate imaging of small animal central nervous system pathologies. The hardware of the scanner was complemented by a custom-built, 4-channel phased array coil system. Extensive modification of standard sequence protocols was carried out based on tissue relaxometric calculations. Proton density differences between the gray and white matter of the rodent spinal cord along with transverse relaxation due to magnetic susceptibility differences at the cortex and striatum of both rats and mice demonstrated statistically significant differences. The employed parallel imaging reconstruction algorithms had distinct properties dependent on the sequence type and in the presence of the contrast agent. The attempt to morphologically phenotype a normal healthy rat brain in multiple planes delineated a number of anatomical regions, and all the clinically relevant sequels following acute cerebral ischemia could be adequately characterized. Changes in blood-brain-barrier permeability following ischemia-reperfusion were also apparent at a later time. Typical characteristics of intracerebral haemorrhage at acute and chronic stages were also visualized up to one month. Two models of rodent spinal cord injury were adequately characterized and closely mimicked the results of histological studies. In the employed rodent animal handling system a mouse model of glioblastoma was also studied with unequivocal results.
Conclusions:
The implemented customizations including extensive sequence protocol modifications resulted in images of high diagnostic quality. These results prove that lack of dedicated animal scanners shouldn't discourage conventional small animal imaging studies.
Here we describe a novel conditional mouse lung tumor model for investigation of the pathogenesis of human lung cancer. On the basis of the frequent involvement of the Ras-RAF-MEK-ERK signaling pathway in human non-small cell lung carcinoma (NSCLC), we have explored the target cell availability, reversibility, and cell type specificity of transformation by oncogenic C-RAF. Targeting expression to alveolar type II cells or to Clara cells, the two likely precursors of human NSCLC, revealed differential tumorigenicity between these cells. Whereas expression of oncogenic C-RAF in alveolar type II cells readily induced multifocal macroscopic lung tumors independent of the developmental state, few tumors with type II pneumocytes features and incomplete penetrance were found when targeted to Clara cells. Induced tumors did not progress and were strictly dependent on the initiating oncogene. Deinduction of mice resulted in tumor regression due to autophagy rather than apoptosis. Induction of autophagic cell death in regressing lung tumors suggests the use of autophagy enhancers as a treatment choice for patients with NSCLC.
Binding of proteins to DNA is usually considered 1D with one protein bound to one DNA molecule. In principle, proteins with multiple DNA binding domains could also bind to and thereby cross-link different DNA molecules. We have investigated this possibility using high-mobility group A1 (HMGA1) proteins, which are architectural elements of chromatin and are involved in the regulation of multiple DNA-dependent processes. Using direct stochastic optical reconstruction microscopy (dSTORM), we could show that overexpression of HMGA1a-eGFP in Cos-7 cells leads to chromatin aggregation. To investigate if HMGA1a is directly responsible for this chromatin compaction we developed a DNA cross-linking assay. We were able to show for the first time that HMGA1a can cross-link DNA directly. Detailed analysis using point mutated proteins revealed a novel DNA cross-linking domain. Electron microscopy indicates that HMGA1 proteins are able to create DNA loops and supercoils in linearized DNA confirming the cross-linking ability of HMGA1a. This capacity has profound implications for the spatial organization of DNA in the cell nucleus and suggests cross-linking activities for additional nuclear proteins.
Enormous amounts of data are being generated by modern methods such as transcriptome or exome sequencing and microarray profiling. Primary analyses such as quality control, normalization, statistics and mapping are highly complex and need to be performed by specialists. Thereafter, results are handed back to biomedical researchers, who are then confronted with complicated data lists. For rather simple tasks like data filtering, sorting and cross-association there is a need for new tools which can be used by non-specialists. Here, we describe CrossQuery, a web tool that enables straight forward, simple syntax queries to be executed on transcriptome sequencing and microarray datasets. We provide deepsequencing data sets of stem cell lines derived from the model fish Medaka and microarray data of human endothelial cells. In the example datasets provided, mRNA expression levels, gene, transcript and sample identification numbers, GO-terms and gene descriptions can be freely correlated, filtered and sorted. Queries can be saved for later reuse and results can be exported to standard formats that allow copy-and-paste to all widespread data visualization tools such as Microsoft Excel. CrossQuery enables researchers to quickly and freely work with transcriptome and microarray data sets requiring only minimal computer skills. Furthermore, CrossQuery allows growing association of multiple datasets as long as at least one common point of correlated information, such as transcript identification numbers or GO-terms, is shared between samples. For advanced users, the object-oriented plug-in and event-driven code design of both server-side and client-side scripts allow easy addition of new features, data sources and data types.
Enormous amounts of data are being generated by modern methods such as transcriptome or exome sequencing and microarray profiling. Primary analyses such as quality control, normalization, statistics and mapping are highly complex and need to be performed by specialists. Thereafter, results are handed back to biomedical researchers, who are then confronted with complicated data lists. For rather simple tasks like data filtering, sorting and cross-association there is a need for new tools which can be used by non-specialists. Here, we describe CrossQuery, a web tool that enables straight forward, simple syntax queries to be executed on transcriptome sequencing and microarray datasets. We provide deep-sequencing data sets of stem cell lines derived from the model fish Medaka and microarray data of human endothelial cells. In the example datasets provided, mRNA expression levels, gene, transcript and sample identification numbers, GO-terms and gene descriptions can be freely correlated, filtered and sorted. Queries can be saved for later reuse and results can be exported to standard formats that allow copy-and-paste to all widespread data visualization tools such as Microsoft Excel. CrossQuery enables researchers to quickly and freely work with transcriptome and microarray data sets requiring only minimal computer skills. Furthermore, CrossQuery allows growing association of multiple datasets as long as at least one common point of correlated information, such as transcript identification numbers or GO-terms, is shared between samples. For advanced users, the object-oriented plug-in and event-driven code design of both server-side and client-side scripts allow easy addition of new features, data sources and data types.
Organic farming is one of the most successful agri-environmental schemes, as humans benefit from high quality food, farmers from higher prices for their products and it often successfully protects biodiversity. However there is little knowledge if organic farming also increases ecosystem services like pest control. We assessed 30 triticale fields (15 organic vs. 15 conventional) and recorded vascular plants, pollinators, aphids and their predators. Further, five conventional fields which were treated with insecticides were compared with 10 non-treated conventional fields. Organic fields had five times higher plant species richness and about twenty times higher pollinator species richness compared to conventional fields. Abundance of pollinators was even more than one-hundred times higher on organic fields. In contrast, the abundance of cereal aphids was five times lower in organic fields, while predator abundances were three times higher and predator-prey ratios twenty times higher in organic fields, indicating a significantly higher potential for biological pest control in organic fields. Insecticide treatment in conventional fields had only a short-term effect on aphid densities while later in the season aphid abundances were even higher and predator abundances lower in treated compared to untreated conventional fields. Our data indicate that insecticide treatment kept aphid predators at low abundances throughout the season, thereby significantly reducing top-down control of aphid populations. Plant and pollinator species richness as well as predator abundances and predator-prey ratios were higher at field edges compared to field centres, highlighting the importance of field edges for ecosystem services. In conclusion organic farming increases biodiversity, including important functional groups like plants, pollinators and predators which enhance natural pest control. Preventative insecticide application in conventional fields has only short-term effects on aphid densities but long-term negative effects on biological pest control. Therefore conventional farmers should restrict insecticide applications to situations where thresholds for pest densities are reached.