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Fanconi anemia (FA) is an autosomal recessive or X-chromosomal inherited disorder, which is not only phenotypically but also genotypically very heterogeneous. While its hallmark feature is progressive bone marrow failure, many yet not all patients suffer additionally from typical congenital malformations like radial ray defects and growth retardation. In young adulthood the cumulative risk for developing hematological or other malignancies is compared to the general population several hundred-fold increased. The underlying molecular defect is the deficiency of DNA interstrand crosslink (ICL) repair. ICLs are deleterious lesions, which interfere with crucial cellular processes like transcription and replication and thereby can lead to malignant transformation, premature senescence or cell death. To overcome this threat evolution developed a highly complex network of interacting DNA repair pathways, which is conserved completely only in vertebrates. The so called FA/BRCA DNA damage response pathway is able to recognize ICLs on stalled replication forks and promotes their repair through homologous recombination (HR). Today we know 15 FA genes (FANCA, -B, -C, -D1, -D2, -E, -F, -G, -I, -J, -L, -M, -N, -O and -P) whose products are involved in this pathway. Although more than 80% of FA patients carry biallelic mutations in either FANCA, FANCC or FANCG, there are still some who cannot be assigned to any of the known complementation groups. This work aimed to indentify the di¬sease causing mutations in a cohort of those unassigned patients. Initial screens of the candidate genes FAN1, MHF1 and MHF2 did not reveal any pathogenic alterations. Moreover, FAN1 could be excluded as FA candidate gene because patients carrying a homozygous microdeletion including the FAN1 locus did not show a phenotype comparable to FA patients. In the case of MHF1 and MHF2 the reason for the negative screening result is not clear. Mutation carriers might be rare or, regarding the diverse and also FA pathway independent protein functions, phenotypically not comparable to FA patients. Nevertheless, this study contri¬buted to the identification and characterization of the most recent members of the FA pathway - RAD51C (FANCO), SLX4 (FANCP) and XPF (FANCQ). FANCO is one of the RAD51 paralogs and is involved in crucial steps of HR. But since the only reported FA-O patient has so far not developed any hematological anomalies, FANCO is tentatively designated as gene underlying an FA-like disorder. In contrast, patients carrying biallelic mutations in FANCP do not only show hematological anomalies, but as well congenital malformations typical for FA. The distinct role of FANCP in the FA pathway could not be determined, but it is most likely the coordination of structure-specific nucleases during ICL excision. One of these nucleases is the heterodimer XPF/ERCC1. XPF is probably disease causing in the complementation group FA-Q and is the first FA gene, which was identified by Next Generation Sequencing (NGS). Extraordinarily is that mutations in this gene had previously been reported to cause two other disorders, xeroderma pigmentosum and segmental progeria. Despite some overlaps, it was shown that the divergent phenotypes could clearly be distinguished and are caused by distinct functional defects of XPF. Additionally, this work aimed to improve and accelerate the genotyping process of FA patients in general. Therefore, classical approaches should be complemented or fully replaced by approa¬ches using NGS. Massively parallel sequencing of the whole exome proved to be most appro¬priate and the establishment of an FA-specific analysis pipeline facilitated improved molecular diagnostics by combining complementation group assignment and mutation analysis in one step. Consequently two NGS studies revealed the pathogenic defect in several previously unassigned FA patients and thereby added another patient to one of the most recent subtypes, FA-P. In summary, this work contributed not only to further completion of the FA/BRCA DNA repair network by adding three novel genes, it also showed that classical molecular approaches for re¬search as well as for diagnostics could be replaced by NGS.
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.
Recently, several classifiers that combine primary tumor data, like gene expression data, and secondary data sources, such as protein-protein interaction networks, have been proposed for predicting outcome in breast cancer. In these approaches, new composite features are typically constructed by aggregating the expression levels of several genes. The secondary data sources are employed to guide this aggregation. Although many studies claim that these approaches improve classification performance over single genes classifiers, the gain in performance is difficult to assess. This stems mainly from the fact that different breast cancer data sets and validation procedures are employed to assess the performance. Here we address these issues by employing a large cohort of six breast cancer data sets as benchmark set and by performing an unbiased evaluation of the classification accuracies of the different approaches. Contrary to previous claims, we find that composite feature classifiers do not outperform simple single genes classifiers. We investigate the effect of (1) the number of selected features; (2) the specific gene set from which features are selected; (3) the size of the training set and (4) the heterogeneity of the data set on the performance of composite feature and single genes classifiers. Strikingly, we find that randomization of secondary data sources, which destroys all biological information in these sources, does not result in a deterioration in performance of composite feature classifiers. Finally, we show that when a proper correction for gene set size is performed, the stability of single genes sets is similar to the stability of composite feature sets. Based on these results there is currently no reason to prefer prognostic classifiers based on composite features over single genes classifiers for predicting outcome in breast cancer.
Background: Combination of oncolytic vaccinia virus therapy with conventional chemotherapy has shown promise for tumor therapy. However, side effects of chemotherapy including thrombocytopenia, still remain problematic. Methods: Here, we describe a novel approach to optimize combination therapy of oncolytic virus and chemotherapy utilizing virus-encoding hyper-IL-6, GLV-1h90, to reduce chemotherapy-associated side effects. Results: We showed that the hyper-IL-6 cytokine was successfully produced by GLV-1h90 and was functional both in cell culture as well as in tumor-bearing animals, in which the cytokine-producing vaccinia virus strain was well tolerated. When combined with the chemotherapeutic mitomycin C, the anti-tumor effect of the oncolytic virotherapy was significantly enhanced. Moreover, hyper-IL-6 expression greatly reduced the time interval during which the mice suffered from chemotherapy-induced thrombocytopenia. Conclusion: Therefore, future clinical application would benefit from careful investigation of additional cytokine treatment to reduce chemotherapy-induced side effects.
HRAS belongs to the RAS genes superfamily. RAS genes are important players in several human tumors and the single-nucleotide polymorphism rs12628 has been shown to contribute to the risk of bladder, colon, gastrointestinal, oral, and thyroid carcinoma. We hypothesized that this SNP may affect the risk of cutaneous melanoma as well. HRAS gene contains a polymorphic region (rs112587690), a repeated hexanucleotide -GGGCCT- located in intron 1. Three alleles of this region, P1, P2, and P3, have been identified that contain two, three, and four repeats of the hexanucleotide, respectively. We investigated the clinical impact of these polymorphisms in a case–control study. A total of 141 melanoma patients and 118 healthy donors from the North America Caucasian population were screened for rs12628 and rs112587690 polymorphisms. Genotypes were assessed by capillary sequencing or fragment analysis, respectively, and rs12628 CC and rs112587690 P1P1 genotypes significantly associated with increased melanoma risk (OR = 3.83, p = 0.003; OR = 11.3, p = 0.033, respectively), while rs112587690 P1P3 frequency resulted significantly higher in the control group (OR = 0.5, p = 0.017). These results suggest that rs12628 C homozygosis may be considered a potential risk factor for melanoma development in the North American population possibly through the linkage to rs112587690.
Physiological Notch Signaling Maintains Bone Homeostasis via RBPjk and Hey Upstream of NFATc1
(2012)
Notch signaling between neighboring cells controls many cell fate decisions in metazoans both during embryogenesis and in postnatal life. Previously, we uncovered a critical role for physiological Notch signaling in suppressing osteoblast differentiation in vivo. However, the contribution of individual Notch receptors and the downstream signaling mechanism have not been elucidated. Here we report that removal of Notch2, but not Notch1, from the embryonic limb mesenchyme markedly increased trabecular bone mass in adolescent mice. Deletion of the transcription factor RBPjk, a mediator of all canonical Notch signaling, in the mesenchymal progenitors but not the more mature osteoblast-lineage cells, caused a dramatic high-bone-mass phenotype characterized by increased osteoblast numbers, diminished bone marrow mesenchymal progenitor pool, and rapid age-dependent bone loss. Moreover, mice deficient in Hey1 and HeyL, two target genes of Notch-RBPjk signaling, exhibited high bone mass. Interestingly, Hey1 bound to and suppressed the NFATc1 promoter, and RBPjk deletion increased NFATc1 expression in bone. Finally, pharmacological inhibition of NFAT alleviated the high-bone-mass phenotype caused by RBPjk deletion. Thus, Notch-RBPjk signaling functions in part through Hey1-mediated inhibition of NFATc1 to suppress osteoblastogenesis, contributing to bone homeostasis in vivo.
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
Precise control of progression through mitosis is essential to maintain genomic stability and to prevent aneuploidy. The DREAM complex is an important regulator of mitotic gene expression. Depletion of Lin9, one core-subunit of DREAM, leads to reduced expression of G2/M genes and impaired proliferation. In conditional mouse knockout cells (MEFs) Lin9 deletion causes defects in mitosis and cytokinesis and cells undergo premature senescence in order to prevent further proliferation. In this work it could be shown that the senescence phenotype in Lin9 knockout MEFs is independently mediated by the two tumor suppressor pathways p53-p21 and p16-pRB. Studies using the conditional Lin9 knockout mouse model demonstrated an important function of Lin9 in the regulation of mitotic gene expression and proliferation in vivo. Deletion of Lin9 caused reduced proliferation in the intestinal crypts resulting in atrophy of the intestinal epithelium and in rapid death of the animals. In the second part of this work, the pathways leading to p53 mediated G1 arrest after failed cytokinesis were analyzed by using a chemical inhibitor of the mitotic kinase Aurora B. In a high throughput siRNA screen the MAP kinase MAP3K4 was identified as an upstream activator of p53. It could be shown that MAP3K4 activates the downstream stress kinase p38b to induce the p53 mediated cell cycle arrest of tetraploid cells. p38b was required for the transcriptional activation of the p53 target gene p21 in response to Aurora B inhibition. In contrast, phosphorylation, stabilization and recruitment of p53 to the p21 promoter occured independently of p38 signaling. Partial inhibition of Aurora B demonstrated that chromosome missegregation also activates the MAP3K4-p38-p53 pathway, suggesting that subtle defects in mitosis are sufficient for inducing this stress signaling pathway. Although p38 was required for the G1 cell cycle arrest after mitotic failures, long-term co-inhibition of p38 and Aurora B resulted in reduced proliferation probably due to increased apoptosis. Presumably, MAP3K4-p38-p53 signaling is a common pathway that is activated after errors in mitosis or cytokinesis to arrest cells in G1 and to prevent chromosomal instability.
Cryptochromes are conserved flavoprotein receptors found throughout the biological kingdom with diversified roles in plant development and entrainment of the circadian clock in animals. Light perception is proposed to occur through flavin radical formation that correlates with biological activity in vivo in both plants and Drosophila. By contrast, mammalian (Type II) cryptochromes regulate the circadian clock independently of light, raising the fundamental question of whether mammalian cryptochromes have evolved entirely distinct signaling mechanisms. Here we show by developmental and transcriptome analysis that Homo sapiens cryptochrome - 1 (HsCRY1) confers biological activity in transgenic expressing Drosophila in darkness, that can in some cases be further stimulated by light. In contrast to all other cryptochromes, purified recombinant HsCRY1 protein was stably isolated in the anionic radical flavin state, containing only a small proportion of oxidized flavin which could be reduced by illumination. We conclude that animal Type I and Type II cryptochromes may both have signaling mechanisms involving formation of a flavin radical signaling state, and that light independent activity of Type II cryptochromes is a consequence of dark accumulation of this redox form in vivo rather than of a fundamental difference in signaling mechanism.
We present a quantitative 3D analysis of the motility of the blood parasite Trypanosoma brucei. Digital in-line holographic microscopy has been used to track single cells with high temporal and spatial accuracy to obtain quantitative data on their behavior. Comparing bloodstream form and insect form trypanosomes as well as mutant and wildtype cells under varying external conditions we were able to derive a general two-state-run-and-tumble-model for trypanosome motility. Differences in the motility of distinct strains indicate that adaption of the trypanosomes to their natural environments involves a change in their mode of swimming.
Computer Science approaches (software, database, management systems) are powerful tools to boost research. Here they are applied to metabolic modelling in infections as well as health care management. Starting from a comparative analysis this thesis shows own steps and examples towards improvement in metabolic modelling software and health data management. In section 2, new experimental data on metabolites and enzymes induce high interest in metabolic modelling including metabolic flux calculations. Data analysis of metabolites, calculation of metabolic fluxes, pathways and their condition-specific strengths is now possible by an advantageous combination of specific software. How can available software for metabolic modelling be improved from a computational point of view? A number of available and well established software solutions are first discussed individually. This includes information on software origin, capabilities, development and used methodology. Performance information is obtained for the compared software using provided example data sets. A feature based comparison shows limitations and advantages of the compared software for specific tasks in metabolic modeling. Often found limitations include third party software dependence, no comprehensive database management and no standard format for data input and output. Graphical visualization can be improved for complex data visualization and at the web based graphical interface. Other areas for development are platform independency, product line architecture, data standardization, open source movement and new methodologies. The comparison shows clearly space for further software application development including steps towards an optimal user friendly graphical user interface, platform independence, database management system and third party independence especially in the case of desktop applications. The found limitations are not limited to the software compared and are of course also actively tackled in some of the most recent developments. Other improvements should aim at generality and standard data input formats, improved visualization of not only the input data set but also analyzed results. We hope, with the implementation of these suggestions, metabolic software applications will become more professional, cheap, reliable and attractive for the user. Nevertheless, keeping these inherent limitations in mind, we are confident that the tools compared can be recommended for metabolic modeling for instance to model metabolic fluxes in bacteria or metabolic data analysis and studies in infection biology. ...
Honeybees can easily be trained to perform different types of discrimination tasks under controlled laboratory conditions. This review describes a range of experiments carried out with free-flying forager honeybees under such conditions. The research done over the past 30 or so years suggests that cognitive abilities (learning and perception) in insects are more intricate and flexible than was originally imagined. It has become apparent that honeybees are capable of a variety of visually guided tasks, involving decision making under challenging situations: this includes simultaneously making use of different sensory modalities, such as vision and olfaction, and learning to use abstract concepts such as “sameness” and “difference.” Many studies have shown that decision making in foraging honeybees is highly flexible. The trained animals learn how to solve a task, and do so with a high accuracy, but when they are presented with a new variation of the task, they apply the learnt rules from the earlier setup to the new situation, and solve the new task as well. Honeybees therefore not only feature a rich behavioral repertoire to choose from, but also make decisions most apt to the current situation. The experiments in this review give an insight into the environmental cues and cognitive resources that are probably highly significant for a forager bee that must continually make decisions regarding patches of resources to be exploited.
BACKGROUND: In the face of growing resistance in malaria parasites to drugs, pharmacological combination therapies are important. There is accumulating evidence that methylene blue (MB) is an effective drug against malaria. Here we explore the biological effects of both MB alone and in combination therapy using modeling and experimental data.
RESULTS: We built a model of the central metabolic pathways in P. falciparum. Metabolic flux modes and their changes under MB were calculated by integrating experimental data (RT-PCR data on mRNAs for redox enzymes) as constraints and results from the YANA software package for metabolic pathway calculations. Several different lines of MB attack on Plasmodium redox defense were identified by analysis of the network effects. Next, chloroquine resistance based on pfmdr/and pfcrt transporters, as well as pyrimethamine/sulfadoxine resistance (by mutations in DHF/DHPS), were modeled in silico. Further modeling shows that MB has a favorable synergism on antimalarial network effects with these commonly used antimalarial drugs.
CONCLUSIONS: Theoretical and experimental results support that methylene blue should, because of its resistance-breaking potential, be further tested as a key component in drug combination therapy efforts in holoendemic areas.
The larvae of the cabbage root fly induce serious damage to cultivated crops of the family Brassicaceae. We here report the biochemical characterisation of neuropeptides from the central nervous system and neurohemal organs, as well as regulatory peptides from enteroendocrine midgut cells of the cabbage maggot. By LC-MALDI-TOF/TOF and chemical labelling with 4-sulfophenyl isothiocyanate, 38 peptides could be identified, representing major insect peptide families: allatostatin A, allatostatin C, FMRFamide-like peptides, kinin, CAPA peptides, pyrokinins, sNPF, myosuppressin, corazonin, SIFamide, sulfakinins, tachykinins, NPLP1-peptides, adipokinetic hormone and CCHamide 1. We also report a new peptide (Yamide) which appears to be homolog to an amidated eclosion hormone-associated peptide in several Drosophila species. Immunocytochemical characterisation of the distribution of several classes of peptide-immunoreactive neurons and enteroendocrine cells shows a very similar but not identical peptide distribution to Drosophila. Since peptides regulate many vital physiological and behavioural processes such as moulting or feeding, our data may initiate the pharmacological testing and development of new specific peptide-based protection methods against the cabbage root fly and its larva.