Refine
Has Fulltext
- yes (83)
Is part of the Bibliography
- yes (83)
Year of publication
- 2012 (83) (remove)
Document Type
- Journal article (51)
- Doctoral Thesis (32)
Language
- English (83) (remove)
Keywords
- Biologie (9)
- Drosophila (4)
- Taufliege (4)
- expression (4)
- protein (4)
- vaccinia virus (4)
- Apoptosis (3)
- Melanom (3)
- Myc (3)
- Vaccinia-Virus (3)
Institute
- Theodor-Boveri-Institut für Biowissenschaften (83) (remove)
Introduction: While it has been reported that the risk of contralateral breast cancer in patients from BRCA1 or BRCA2 positive families is elevated, little is known about contralateral breast cancer risk in patients from high risk families that tested negative for BRCA1/2 mutations.
Methods: A retrospective, multicenter cohort study was performed from 1996 to 2011 and comprised 6,235 women with unilateral breast cancer from 6,230 high risk families that had tested positive for BRCA1 (n = 1,154) or BRCA2 (n = 575) mutations or tested negative (n = 4,501). Cumulative contralateral breast cancer risks were calculated using the Kaplan-Meier product-limit method and were compared between groups using the log-rank test. Cox regression analysis was applied to assess the impact of the age at first breast cancer and the familial history stratified by mutation status.
Results: The cumulative risk of contralateral breast cancer 25 years after first breast cancer was 44.1% (95%CI, 37.6% to 50.6%) for patients from BRCA1 positive families, 33.5% (95%CI, 22.4% to 44.7%) for patients from BRCA2 positive families and 17.2% (95%CI, 14.5% to 19.9%) for patients from families that tested negative for BRCA1/2 mutations. Younger age at first breast cancer was associated with a higher risk of contralateral breast cancer. For women who had their first breast cancer before the age of 40 years, the cumulative risk of contralateral breast cancer after 25 years was 55.1% for BRCA1, 38.4% for BRCA2, and 28.4% for patients from BRCA1/2 negative families. If the first breast cancer was diagnosed at the age of 50 or later, 25-year cumulative risks were 21.6% for BRCA1, 15.5% for BRCA2, and 12.9% for BRCA1/2 negative families.
Conclusions: Contralateral breast cancer risk in patients from high risk families that tested negative for BRCA1/2 mutations is similar to the risk in patients with sporadic breast cancer. Thus, the mutation status should guide decision making for contralateral mastectomy.
In this thesis the Drosophila mutant loechrig (loe), that shows progressive degeneration of the nervous system, is further described. Loe is missing a neuronal isoform of the protein kinase AMPK γ subunit (AMP-activated protein kinase- also known as SNF4Aγ) The heterotrimeric AMPK controls the energy level of the cell, which requires constant monitoring of the ATP/AMP levels. It is activated by low energy levels and metabolic insults like oxygen starvation and regulates multiple important signal pathways that control cell metabolism. Still, its role in neuronal survival is unclear. One of AMPK’s downstream targets is HMGR (hydroxymethylglutaryl-CoA- reductase), a key enzyme in cholesterol and isoprenoid synthesis. It has been shown that manipulating the levels of HMGR affects the severity of the neurodegenerative phenotype in loe. Whereas the regulatory role of AMPK on HMGR is conserved in Drosophila, insects cannot synthesize cholesterol de novo. However, the synthesis of isoprenoids is a pathway that is evolutionarily conserved between vertebrates and insects. Isoprenylation of target proteins like small G-proteins provides a hydrophobic anchor that allows the association of these proteins with membranes and following activation. This thesis shows that the loe mutation interferes with the prenylation of Rho1 and the regulation of the LIM kinase pathway, which plays an important role in actin turnover and axonal outgrowth. The results suggest that the mutation in LOE, causes hyperactivity of the isoprenoid synthesis pathway, which leads to increased farnesylation of RHO1 and therefore higher levels of phospho-cofilin. A mutation in Rho1 improves the neurodegenerative phenotype and life span. The increased inactive cofilin amount in loe leads to an up regulation of filamentous actin. Actin is involved in neuronal outgrowth and experiments analyzing loe neurons gave valuable insights into a possible role of AMPK and accordingly actin on neurite growth and stability. It was demonstrated that neurons derived from loe mutants exhibit reduces axonal transport suggesting that changes in the cytoskeletal network caused by the effect of loe on the Rho1 pathway lead to disruptions in axonal transport and subsequent neuronal death. It also shows that actin is not only involved in neuronal outgrowth, its also important in maintenance of neurons, suggesting that interference with actin dynamics leads to progressive degeneration of neurons. Together, these results further support the importance of AMPK in neuronal function and survival and provide a novel functional mechanisms how alterations in AMPK can cause neuronal degeneration
The ITS2 Database
(2012)
The internal transcribed spacer 2 (ITS2) has been used as a phylogenetic marker for more than two decades. As ITS2 research mainly focused on the very variable ITS2 sequence, it confined this marker to low-level phylogenetics only. However, the combination of the ITS2 sequence and its highly conserved secondary structure improves the phylogenetic resolution1 and allows phylogenetic inference at multiple taxonomic ranks, including species delimitation.
The ITS2 Database presents an exhaustive dataset of internal transcribed spacer 2 sequences from NCBI GenBank accurately reannotated. Following an annotation by profile Hidden Markov Models (HMMs), the secondary structure of each sequence is predicted. First, it is tested whether a minimum energy based fold (direct fold) results in a correct, four helix conformation. If this is not the case, the structure is predicted by homology modeling. In homology modeling, an already known secondary structure is transferred to another ITS2 sequence, whose secondary structure was not able to fold correctly in a direct fold.
The ITS2 Database is not only a database for storage and retrieval of ITS2 sequence-structures. It also provides several tools to process your own ITS2 sequences, including annotation, structural prediction, motif detection and BLAST search on the combined sequence-structure information. Moreover, it integrates trimmed versions of 4SALE and ProfDistS for multiple sequence-structure alignment calculation and Neighbor Joining tree reconstruction. Together they form a coherent analysis pipeline from an initial set of sequences to a phylogeny based on sequence and secondary structure.
In a nutshell, this workbench simplifies first phylogenetic analyses to only a few mouse-clicks, while additionally providing tools and data for comprehensive large-scale analyses.
Ovarian cancer currently causes ~6,000 deaths per year in Germany alone. Since only palliative treatment is available for ovarian carcinomas that have developed resistance against platinum-based chemotherapy and paclitaxel, there is a pressing medical need for the development of new therapeutic approaches. As survival is strongly influenced by immunological parameters, immunotherapeutic strategies appear promising. The research of our group thus aims at overcoming tumour immune escape by counteracting immunosuppressive mechanisms in the tumour microenvironment. In this context, we found that tumour-infiltrating myeloid-derived suppressor cells (MDSC) or tumour associated macrophages (TAM) which are abundant in ovarian cancer express high levels of the enzyme 11β-hydroxysteroid dehydrogenase1 (11-HSD1). This oxido-reductase enzyme is essential for the conversion of biologically inactive cortisone into active cortisol. In line with this observation, high endogenous cortisol levels could be detected in serum, ascitic fluid and tumour exudates from ovarian cancer patients. Considering that cortisol exerts strong anti-inflammatory and immunosuppressive effects on immune cells, it appears likely that high endogenous cortisol levels contribute to immune escape in ovarian cancer. We thus hypothesised that local activation of endogenous glucocorticoids could suppress beneficial immune responses in the tumour microenvironment and thereby prevent a successful immunotherapy. To investigate the in vivo relevance of this postulated immune escape mechanism, irradiated PTENloxP/loxP loxP-Stop-loxP-krasG12D mice were reconstituted with hematopoietic stem cells from either glucocorticoid receptor (GR) expressing mice (GRloxP/loxP) or from mice with a T cell-specific glucocorticoid receptor knock-out (lck-Cre GRloxP/loxP) mice. In the host mice, the combination of a conditional PTEN knock-out with a latent oncogenic kras leads to tumour development when a Cre-encoding adenovirus is injected into the ovarian bursa. Using this model, mice that had been reconstituted with GC-insensitive T cells showed better intratumoural T cell infiltration than control mice that had received functionally unaltered GRloxP/loxP cells via adoptive transfer. However, tumour-infiltrating T cells mostly assumed a Foxp3+ (regulatory) phenotype and survival was even shortened in mice with cortisol-insensitive T cells. Thus, endogenous cortisol seems to inhibit immune cell infiltration in ovarian cancer, but productive anti-tumour immune responses might still be prevented by further factors from the tumour microenvironment. Thus, our data did not provide a sufficiently strong rationale to further pursue the antagonisation of glucocorticoid signalling in ovarian cancer patients, Moreover, glucocorticoids are frequently administered to cancer patients to reduce inflammation and swelling and to prevent chemotherapy-related toxic side effects like nausea or hypersensitivity reactions associated with paclitaxel therapy. Thus, we decided to address the question whether specific signalling pathways in innate immune cells, preferentially in NK cells, could still be activated even in the presence of GC. A careful investigation of the various activating NK cell receptors (i.e. NKp30, NKp44, NKp46), DNAM-1 and NKG2D) was thus performed which revealed that NKp30, NKp44 and NKG2D are all down-regulated by cortisol whereas NKp46 is actually induced by cortisol. Interestingly, NKp46 is the only known receptor that is strictly confined to NK cells. Its activation via crosslinking leads to cytokine release and activation of cytotoxic activity. Stimulation of NK cells via NKp46 may contribute to immune-mediated tumour destruction by triggering the lysis of tumour cells and by altering the cytokine pattern in the tumour microenvironment, thereby generating more favourable conditions for the recruitment of antigen-specific immune cells. Accordingly, our observation that even cortisol-treated NK cells can still be activated via NKp46 and CD2 might become valuable for the design of immunotherapies that can still be applied in the presence of endogenous or therapeutically administered glucocorticoids.
HEY bHLH transcription factors have been shown to regulate multiple key steps in cardiovascular development. They can be induced by activated NOTCH receptors, but other upstream stimuli mediated by TGFß and BMP receptors may elicit a similar response. While the basic and helix-loop-helix domains exhibit strong similarity, large parts of the proteins are still unique and may serve divergent functions. The striking overlap of cardiac defects in HEY2 and combined HEY1/HEYL knockout mice suggested that all three HEY genes fulfill overlapping function in target cells. We therefore sought to identify target genes for HEY proteins by microarray expression and ChIPseq analyses in HEK293 cells, cardiomyocytes, and murine hearts. HEY proteins were found to modulate expression of their target gene to a rather limited extent, but with striking functional interchangeability between HEY factors. Chromatin immunoprecipitation revealed a much greater number of potential binding sites that again largely overlap between HEY factors. Binding sites are clustered in the proximal promoter region especially of transcriptional regulators or developmental control genes. Multiple lines of evidence suggest that HEY proteins primarily act as direct transcriptional repressors, while gene activation seems to be due to secondary or indirect effects. Mutagenesis of putative DNA binding residues supports the notion of direct DNA binding. While class B E-box sequences (CACGYG) clearly represent preferred target sequences, there must be additional and more loosely defined modes of DNA binding since many of the target promoters that are efficiently bound by HEY proteins do not contain an Ebox motif. These data clearly establish the three HEY bHLH factors as highly redundant transcriptional repressors in vitro and in vivo, which explains the combinatorial action observed in different tissues with overlapping expression.
Recent development of proteomic approaches and generation of large-scale proteomic datasets calls for new methods for biological interpretation of the obtained results. Systems biological approaches such as integrated network analysis and functional module search have become an essential part of proteomic investigation. Proteomics is especially applied in anucleate cells such as platelets. The underlying molecular mechanisms of platelet activation and their pharmacological modulation are of immense importance for clinical research. Advances in platelet proteomics have provided a large amount of proteomic data, which has not yet been comprehensively investigated in a systems biological perspective. To this end, I assembled platelet specific data from proteomic and transcriptomic studies by detailed manual curation and worked on the generation of a comprehensive human platelet repository for systems biological analysis of platelets in the functional context of integrated networks (PlateletWeb) (http:/PlateletWeb.bioapps.biozentrum.uni-wuerzburg.de). I also added platelet-specific experimentally validated phosphorylation data and generated kinase predictions for 80% of the newly identified platelet phosphosites. The combination of drug, disease and pathway information with phosphorylation and interaction data makes this database the first integrative platelet platform available for platelet research. PlateletWeb contains more than 5000 platelet proteins, which can also be analyzed and visualized in a network context, allowing identification of all major signaling modules involved in platelet activation and inhibition. Using the wealth of integrated data I performed a series of platelet-specific analyses regarding the platelet proteome, pathways, drug targets and novel platelet phosphorylation events involved in crucial signaling events. I analyzed the statistical enrichment of known pathways for platelet proteins and identified endocytosis as a highly represented pathway in platelets. Further results revealed that highly connected platelet proteins are more often targeted by drugs. Using integrated network analysis offered by PlateletWeb, I analyzed the crucial activation signaling pathway of adenosine diphosphate (ADP), visualizing how the signal flow from receptors to effectors is maintained. My work on integrin inside-out signaling was also based on the integrated network approach and examined new platelet-specific phosphorylation sites and their regulation using kinase predictions. I generated hypothesis on integrin signaling, by investigating the regulation of Ser269 phosphorylation site on the docking protein 1 (DOK1). This phosphorylation site may influence the inhibiting effect of DOK1 on integrin a2bb3. Extending the integrated network approach to further cell lines, I used the assembled human interactome information for the analysis of functional modules in cellular networks. The investigation was performed with a previously developed module detection algorithm, which finds maximum-scoring subgraphs in transcriptomic datasets by using assigned values to the network nodes. We extended the algorithm to qualitative proteomic datasets and enhanced the module search by adding functional information to the network edges to concentrate the solution onto modules with high functional similarity. I performed a series of analyses to validate its performance in small-sized (virus-infected gastric cells) and medium-sized networks (human lymphocytes). In both cases the algorithm extracted characteristic modules of sample proteins with high functional similarity. The functional module search is especially useful in site-specific phosphoproteomic datasets, where kinase regulation of the detected sites is often sparse or lacking. Therefore, I used the module detection algorithm in quantitative phosphoproteomic datasets. In a platelet phosphorylation dataset, I presented a pipeline for network analysis of detected phosphorylation sites. In a second approach, the functional module detecting algorithm was used on a phosphoproteome network of human embryonic stem cells, in which nodes represented the maximally changing phosphorylation sites in the experiment. Additional kinases from the human phosphoproteome in PlateletWeb were included to the network to investigate the regulation of the signal flow. Results indicated important phosphorylation sites and their upstream kinases and explained changes observed in embryonic stem cells during differentiation. This work presents novel approaches for integrated network analysis in cells and introduces for the first time a systematic biological investigation of the human platelet proteome based on the platelet-specific knowledge base PlateletWeb. The extended methods for optimized functional module detection offer an invaluable tool for exploring proteomic datasets and covering gaps in complex large-scale data analysis. By combining exact module detection approaches with functional information data between interacting proteins, characteristic functional modules with high functional resemblance can be extracted from complex datasets, thereby focusing on important changes in the observed networks.
Measuring and estimating biodiversity patterns is a fundamental task of the scientist working to support conservation and informmanagement decisions.Most biodiversity studies in temperate regions were often carried out over a very short period of time (e.g., a single season) and it is often—at least tacitly—assumed that these short-termfindings are representative of long-termgeneral patterns.However, should the studied biodiversity pattern in fact contain significant temporal dynamics, perhaps leading to contradictory conclusions. Here, we studied the seasonal diversity dynamics of arboreal spider communities dwelling in 216 European beeches (Fagus sylvatica L.) to assess the spider community composition in the following seasons: two cold seasons (I:November 2005–January 2006; II: February–April) and two warm seasons (III: May–July; IV: August–October). We show that the usually measured diversity of the warmseason community (IV: 58 estimated species) alone did not deliver a reliable image of the overall diversity present in these trees, and therefore, we recommend it should not be used for sampling protocols aimed at providing a full picture of a forest’s biodiversity in the temperate zones. In particular, when the additional samplings of other seasons (I, II, III) were included, the estimated species richness nearly doubled (108). Community I possessed the lowest diversity and evenness due to the harsh winter conditions: this community was comprised of one dominant species together with several species low in abundance. Similarity was lowest (38.6%) between seasonal communities I and III, indicating a significant species turnover due to recolonization, so that community III had the highest diversity. Finally, using nonparametric estimators, we found that further sampling in late winter (February–April) is most needed to complete our inventory. Our study clearly demonstrates that seasonal dynamics of communities should be taken into account when studying biodiversity patterns of spiders, and probably forest arthropods in general.
The infectious intracellular lifestyle of Salmonella enterica relies on the adaptation to nutritional conditions within the Salmonella-containing vacuole (SCV) in host cells. We summarize latest results on metabolic requirements for Salmonella during infection. This includes intracellular phenotypes of mutant strains based on metabolic modeling and experimental tests, isotopolog profiling using (13)C-compounds in intracellular Salmonella, and complementation of metabolic defects for attenuated mutant strains towards a comprehensive understanding of the metabolic requirements of the intracellular lifestyle of Salmonella. Helpful for this are also genomic comparisons. We outline further recent studies and which analyses of intracellular phenotypes and improved metabolic simulations were done and comment on technical required steps as well as progress involved in the iterative refinement of metabolic flux models, analyses of mutant phenotypes, and isotopolog analyses. Salmonella lifestyle is well-adapted to the SCV and its specific metabolic requirements. Salmonella metabolism adapts rapidly to SCV conditions, the metabolic generalist Salmonella is quite successful in host infection.
ATP dependent chromatin remodeling complexes are multifactorial complexes that utilize the energy of ATP to rearrange the chromatin structure. The changes in chromatin structure lead to either increased or decreased DNA accessibility. SWI/SNF is one of such complex. The SWI/SNF complex is involved in both transcription activation and transcription repression. The ATPase subunit of SWI/SNF is called SWI2/SNF2 in yeast and Brahma, Brm, in Drosophila melanogaster. In mammals there are two paralogs of the ATPase subunit, Brm and Brg1. Recent studies have shown that the human Brm is involved in the regulation of alternative splicing. The aim of this study was to investigate the role of Brm in pre-mRNA processing. The model systems used were Chironomus tentans, well suited for in situ studies and D. melanogaster, known for its full genome information. Immunofluorescent staining of the polytene chromosome indicated that Brm protein of C. tentans, ctBrm, is associated with several gene loci including the Balbiani ring (BR) puffs. Mapping the distribution of ctBrm along the BR genes by both immuno-electron microscopy and chromatin immunoprecipitation showed that ctBrm is widely distributed along the BR genes. The results also show that a fraction of ctBrm is associated with the nascent BR pre-mRNP. Biochemical fractionation experiments confirmed the association of Brm with the RNP fractions, not only in C. tentans but also in D. melanogaster and in HeLa cells. Microarray hybridization experiments performed on S2 cells depleted of either dBrm or other SWI/SNF subunits show that Brm affects alternative splicing and 3´ end formation. These results indicated that BRM affects pre-mRNA processing as a component of SWI/SNF complexes. 1
Many organisms evolved an endogenous clock to adapt to the daily environmental changes caused by the earth’s rotation. Light is the primary time cue (“Zeitgeber”) for entrainment of circadian clocks to the external 24-h day. In Drosophila, several visual pigments are known to mediate synchronization to light: The blue-light photopigment Cryptochrome (CRY) and six well-described rhodopsins (Rh1-Rh6). CRY is present in the majority of clock neurons as well as in the compound eyes, whereas the location of rhodopsins is restricted to the photoreceptive organs – the compound eyes, the ocelli and the HB-eyelets. CRY is thought to represent the key photoreceptor of Drosophila’s circadian clock. Nevertheless, mutant flies lacking CRY (cry01) are able to synchronize their locomotor activity rhythms to light-dark (LD) cycles, but need significantly longer than wild-type flies. In this behavior, cry01 mutants strongly resemble mammalian species that do not possess any internal photoreceptors and perceive light information exclusively through their photoreceptive organs (eyes). Thus, a mammalian-like phase-shifting behavior would be expected in cry01 flies. We investigated this issue by monitoring a phase response curve (PRC) of cry01 and wild-type flies to 1-h light pulses of 1000 lux irradiance. Indeed, cry01 mutants produced a mammalian-similar so called type 1 PRC of comparatively low amplitude (< 25% of wild-type) with phase delays to light pulses during the early subjective night and phase advances to light pulses during the late subjective night (~1 h each). Despite the predominant role of CRY, the visual system contributes to the light sensitivity of the fly’s circadian clock, mainly around dawn and dusk. Furthermore, this phase shifting allows for the slow re-entrainment which we observed in cry01 mutants to 8-h phase delays of the LD 12 h:12 h cycle. However, cry01 also showed surprising differences in their shifting ability: First of all, their PRC was characterized by a second dead zone in the middle of the subjective night (ZT17-ZT19) in addition to the usual unresponsiveness during the subjective day. Second, in contrast to wild-type flies, cry01 mutants did not increase their shift of activity rhythms neither in response to longer stimuli nor to light pulses of higher irradiance. In contrast, both 6-h light pulses of 1000 lux and 1-h light pulses of 10,000 lux light intensity during the early subjective night even resulted in phase advances instead of the expected delays. Thus, CRY seems to be not only responsible for the high light sensitivity of the wild-type circadian clock, but is apparently also involved in integrating and processing light information. Rhodopsin 7 (Rh7) is a yet uncharacterized protein, but became a good photoreceptor candidate due to sequence similarities to the six known Drosophila Rhs. The second part of this thesis investigated the expression pattern of Rh7 and its possible functions, especially in circadian photoreception. Furthermore, we were interested in a potential interaction with CRY and thus, tested cry01 and rh70 cry01 mutants as well. Rh1 is the main visual pigment of the Drosophila compound eye and expressed in six out of eight photoreceptors cells (R1-R6) in each of the ~800 ommatidia. Motion vision depends exclusively on Rh1 function but, moreover, Rh1 plays an important structural role and assures proper photoreceptor cell development and maintenance. In order to investigate its possible photoreceptive function, we expressed Rh7 in place of Rh1. Rh7 was indeed able to overtake the role of Rh1 in both aspects: It prevented retinal degeneration and mediated the optomotor response (OR), a motion vision-dependent behavior. At the transcriptional level, rh7 is expressed at approximately equal amounts in adult fly brains and retinas. Due to a reduced specificity of anti-Rh7 antibodies, we could not verify this result at the protein level. However, analysis of rh7 null mutants (rh70) suggested different Rh7 functions in vivo. Previous experiments strongly indicated an increased sensitivity of the compound eyes in the absence of Rh7 and suggested impaired light adaptation. We aimed to test this hypothesis at the levels of circadian photoreception. Locomotor activity rhythms are a reliable output of the circadian clock. Rh70 mutant flies generally displayed a wild-type similar bimodal activity pattern comprising morning (M) and evening (E) activity bouts. Activity monitoring supported the proposed “shielding” function, since rh70 mutants behaved like wild-type flies experiencing high irradiances. Under all investigated conditions, their activity peaks lay further apart resulting in a prolonged midday break. The behavior of cry01 mutants was mainly characterized by an unexpectedly high flexibility in the timing of M and E activity bouts which allowed tracking of lights-on and lights-off even under extreme photoperiods. Activity profiles of the corresponding rh70 cry01 double mutants reflected neither synergistic nor antagonistic effects of Rh7 and CRY and were dominated by a broad E activity peak. In the future, the different circadian phenotypes will be further investigated on the molecular level by analysis of clock protein cycling in the underlying pacemaker neurons. The work of this thesis confirmed that Rh7 is indeed able to work as a photoreceptor and to initiate the classical phototransduction cascade. On the other hand, it provided further evidence at the levels of circadian photoreception that Rh7 might serve as a shielding pigment for Rh1 in vivo, thereby mediating proper light adaptation.