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Representational difference analysis of cDNA (cDNA-RDA) was used for a comparison of the global transcript level of tumor of the larynx and the corresponding normal epithelial tissue toward the end of detecting differentially expressed genes. Overall, some 130 gene fragments were identified. By sequence analysis and homology comparison, they could be put into several groups related to (potential) functions. Apart from genes whose overexpression was most likely a result of tumor growth or dedifferentiation of epithelial tissue, a lot of genes were isolated that play major roles in signal transduction pathways or apoptosis or act as oncogenes or tumor suppressor genes, in addition to new, entirely unknown genes. Moreover, some cDNAs of known genes were identified that derived from unconventional splicing activity or other transcript modifications. All identified fragments were arrayed on solid support and used for reverse Northern blot analyses. The use of preselected RDA fragments as targets in array-based profiling experiments circumvents many of the problems encountered when dealing with large clone libraries.

Background/objectives Meaningful profiling of pancreatic cancer samples is particularly challenging due to their complex cellular composition. Beyond tumor cells, surgical biopsies contain desmoplastic stroma with infiltrating inflammatory cells, adjacent normal parenchyma, and "non-pancreatic tissues". The risk of misinterpretation rises when the heterogeneous cancer tissues are sub-divided into smaller fragments for multiple analytic procedures. Pre-analytic histological evaluation is the best option to characterize pancreatic tissue samples. Our aim was to develop a complement or alternative procedure to determine the cellular composition of pancreatic cancerous biopsies, basing on intra-analytic molecular annotation. A standard process for sample stratification at a molecular level does not yet exist. Particularly in the case of retrospective or data depository-based studies, when hematoxylin-eosin stained sections are not available, it supports the correct interpretation of expression profiles. Methods A five-gene transcriptional signature ( RNA CellStrat) was defined that allows cell type-specific stratification of pancreatic tissues. Testing biopsy material from biobanks with this procedure demonstrated high correspondence of molecular (qRT-PCR and microarray) and histologic (hematoxylin-eosin stain) evaluations. Results Notably, about a quarter of randomly selected samples (tissue fragments) were exposed as inappropriate for subsequent clinico-pathological interpretation. Conclusions Via immediate intra-analytical procedure, our RNA-based stratification RNA CellStrat increases the accuracy and reliability of the conclusions drawn from diagnostic and prognostic molecular information.

Motivation: The functional interpretation of microarray datasets still represents a time-consuming and challenging task. Up to now functional categories that are relevant for one or more experimental context(s) have been commonly extracted from a set of regulated genes and presented in long lists. Results: To facilitate interpretation, we integrated Gene Ontology (GO) annotations into Correspondence Analysis to display genes, experimental conditions and gene-annotations in a single plot. The position of the annotations in these plots can be directly used for the functional interpretation of clusters of genes or experimental conditions without the need for comparing long lists of annotations. Correspondence Analysis is not limited in the number of experimental conditions that can be compared simultaneously, allowing an easy identification of characterizing annotations even in complex experimental settings. Due to the rapidly increasing amount of annotation data available, we apply an annotation filter. Hereby the number of displayed annotations can be significantly reduced to a set of descriptive ones, further enhancing the interpretability of the plot. We validated the method on transcription data from Saccharomyces cerevisiae and human pancreatic adenocarcinomas. Availability: The M-CHiPS software is accessible for collaborators at http://www.mchips.org Contact: [email protected] Supplementary information: http://www.dkfz.de/mchips/supplements/supplement_busold_bioinf_OS.pdf

The analysis of biomolecules using microarrays and other biosensors has a significant role in molecular biotechnology, and will become even more important in the future as a versatile tool for research and diagnostics. For many applications, the synthetic DNA mimic peptide nucleic acid (PNA) could be advantageous as a probe molecule, owing to its unique physicochemical and biochemical properties. PNA exhibits superior hybridization characteristics and improved chemical and enzymatic stability relative to nucleic acids. Furthermore, its different molecular structure enables new modes of detection, especially procedures that avoid the introduction of a label. In our opinion, all of these factors contribute significantly toward the establishment of faster and more reliable analytical processes and opens new fields of application.

The covalently linked cell wall protein Ccw12p of Saccharomyces cerevisiae is a GPI-anchored protein (V. Mrsa et al., 1999, J Bacteriol 181: 3076-3086). Although only 121 amino acids long, the haemagglutinin-tagged protein released by laminarinase from the cell wall possesses an apparent molecular mass of > 300 kDa. A membrane-bound form with an apparent molecular mass of 58 kDa is highly O- and N-glycosylated and contains the GPI anchor. With a half-life of 2 min, the membrane form is transformed to the > 300 kDa form. The deletion mutant ccw12Delta grows slower than the wild type, is highly sensitive to Calcofluor white and contains 2.5 times more chitin. Further, compared with wild-type yeast, significantly more proteins are released from intact cells when treated with dithiothreitol. Interestingly, these defects become less pronounced when further GPI-anchored cell wall proteins are deleted. Mutant DeltaGPI (simultaneous deletion of CCW12, CCW13/DAN1, CCW14, TIP1 and CWP1) is similar in many respects to wild-type yeast. To find out how the cell wall is stabilized in mutant DeltaGPI, a genome-wide transcription analysis was performed. Of 159 significantly regulated genes, 14 encode either known or suspected cell wall-associated proteins. Analysis of genes affected in transcription revealed that SED1 and SRL1 in particular are required to reconstruct cell wall stability in the absence of multiple GPI-anchored mannoproteins.

Summary Glucose exerts profound effects upon yeast physiol- ogy. In general, the effects of high glucose concen- trations (>1%) upon Saccharomyces cerevisiae have been studied. In this paper, we have characterized the global responses of yeast cells to very low (0.01%), low (0.1%) and high glucose signals (1.0%) by tran- script profiling. We show that yeast is more sensitive to very low glucose signals than was previously thought, and that yeast displays different responses to these different glucose signals. Genes involved in central metabolic pathways respond rapidly to very low glucose signals, whereas genes involved in the biogenesis of cytoplasmic ribosomes generally respond only to glucose concentrations of >0.1%. We also show that cytoplasmic ribosomal protein mRNAs are transiently stabilized by glucose, indicating that both transcriptional and post-transcriptional mecha- nisms combine to accelerate the accumulation of ribosomal protein mRNAs. Presumably, this facilitates rapid ribosome biogenesis after exposure to glucose. However, our data indicate that yeast activates ribo- some biogenesis only when sufficient glucose is available to make this metabolic investment worth- while. In contrast, the regulation of metabolic func- tions in response to very low glucose signals presumably ensures that yeast can exploit even minute amounts of this preferred nutrient.

Antibody microarrays could have an enormous impact on the functional analysis of cellular activity and regulation, especially at the level of protein expression and protein-protein interaction, and might become an invaluable tool in disease diagnostics. The array surface is bound to have a tremendous influence on the findings from such studies. Apart from the basic issue of how to attach antibodies optimally without affecting their function, it is also important that the cognate antigens, applied within a complex protein mixture, all bind to the arrayed antibodies irrespective of their enormous variety in structure. In this study, various factors in the production of antibody microarrays on glass support were analysed: the modification of the glass surface; kind and length of cross-linkers; composition and pH of the spotting buffer; blocking reagents; antibody concentration and storage procedures, in order to evaluate their effect on array performance. Altogether, data from more than 700 individual array experiments were taken into account. In addition to home-made slides, commercially available systems were also included in the analysis.

Antibody microarrays have enormous potential for becoming a tool that will allow, at the protein level, the type of global characterization of molecular mixtures that DNA microarrays already make possible at the RNA and DNA level. However, the much higher complexity of proteins both in terms of their sheer number and their structural and biochemical diversity necessitates an even more sophisticated analysis process. Its eventual realization will be demanding to achieve and requires further developments on many technical aspects, not in the least because the understanding of proteins is still comparatively less comprehensive than that of nucleic acids prior to the emergence of array technologies.

Summary As part of a collaborative project aimed at sequencing and functionally analysing the entire genome of Pseudomonas putida strain KT2440, a physical clone map was produced as an initial resource. To this end, a high-coverage cosmid library was arrayed and ordered by clone hybridizations. Restriction fragments generated by rare-cutting enzymes and plasmids containing the rrn operon and 23S rDNA of Pseudomonas aeruginosa were used as probes and, parts of the cosmids were end-sequenced. This provided the information necessary for merging and comparing the macro-restriction map, cosmid clone order and sequence information, thereby assuring colinearity of the eventual sequence assembly with the actual genome. A tiling path of clones was selected, from the shotgun clones used for sequencing, for the production of DNA microarrays that represent the entire genome including its non-coding portions.

A microarray comprising 21 024 different PCR products spotted on glass slides was constructed for gene expression studies on Trypanosoma brucei . The arrayed fragments were generated from a T. brucei shotgun clone library, which had been prepared from randomly sheared and size-fractionated genomic DNA. For the identification of stage-specific gene activity, total RNA from in vitro cultures of the human, long slender form and the insect, procyclic form of the parasite was labelled and hybridised to the microarray. Approximately 75% of the genomic fragments produced a signal and about 2% exhibited significant differences between the transcript levels in the bloodstream and procyclic forms. A few results were confirmed by Northern blot analysis or reversetranscription and PCR. Three hundred differentially regulated clones have been selected for sequencing. So far, of 33 clones that showed about 2-fold or more over-expression in bloodstream forms, 15 contained sequences similar to those of VSG expression sites and at least six others appeared non-protein-coding. Of 29 procyclic-specific clones, at least eight appeared not to be protein-coding. A surprisingly large proportion of known regulated genes was already identified in this small sample, and some new ones were found, illustrating the utility of genomic arrays. # 2002 Published by Elsevier Science B.V.

Summary The transcriptome of Saccharomyces cerevisiae was screened using the high-density membrane hybridization method, under aerobic and hypoxic conditions, in wild-type and mutant backgrounds obtained by the disruption of the genes encoding the regulatory proteins Hap1, Rox1 and the Srb10 and Rox3 subunits of RNA polymerase II holoenzyme. None of the mutations studied was able to fully overcome the wild-type hypoxic response. Deletion of the hap1 gene changed the expression profiles of individual open reading frames (ORFs) under both aerobic and hypoxic conditions. Major changes associated with rox3 deletion were related to the hypoxic activation. Rox3 also caused a repressor effect (oxygen-independent) on a subset of genes related to subtelomeric proteins. With regard to the effect brought about by the deletion of rox1 and srb10, correspondence cluster analysis revealed that the transcriptome profile in aerobic conditions is very similar in the wild-type and both deletion strains. In contrast, however, differences were found during hypoxia between the subgroup formed by wild-type and the Δrox1 deletant compared with the Δsrb10 deletant. An analysis of selected ORFs responding to hypoxia, in association with a dependence on the regulatory factors studied, made it possible to identify the clusters that are related to different regulatory circuits.

We are analyzing in detail the molecular communication between the different cell types in the microenvironment of pancreatic ductal adenocarcinomas (PDAC). Also, its regulation is being investigated, looking at aspects such as the kind and mixture of molecules needed for triggering a particular regulative function, and unraveling the inter- and intracellular processes utilized to transmit a molecular message. Although a rare tumor entity, adding up to only about 3% of all cancer cases in the Western world, PDAC is the fourth most frequent cause of cancer-related death; mortality is nearly identical to incidence. There is no real remedy apart from surgery, which can be applied to only 10 to 20% of patients. Even then, basically all patients will experience tumor recurrence. Our study is based on a large basic set of data at the levels of DNA, RNA and protein that was generated from some 1000 pancreatic tumor samples [1], supplemented with information from studies that aim at an elucidation of functional molecules and comparative analyses in other tumors. This has already led to the creation of basic functional knowledge about metastasis [e.g., 2], the establishment of means for diagnosis [3, 4], an accurate disease prognosis [1], the characterization of communication processes [5] and the identification of new therapeutic avenues [6]. At the conference, we will report about the status of mapping particularly the protein-mediated communication between the different cell types in the tumor microenvironment. Also, we will show results about the effect that PDAC tissue has on the wider peritumoral environment and vice versa. The peritumoral tissue is exhibiting a field defect that does not seem to be dependent on DNA-methylation. A comparison of PDAC and cystic pancreatic tumors revealed that differences in communicating with the peritumoral tissue could actually be more important to the known pathological difference between the two cancer entities than the molecular variations in the tumor cells. 1. Bauer et al. (2017), work submitted for publication 2. Botla et al. (2016) Cancer Res. 76, 4149-4159 3. Keller et al. (2014) BMC Med. 12, 224 4. Moskalev et al. (2015) Oncotarget 6, 4418-4427 5. Dror et al. (2016) Nature Cell Biol. 18, 1006-1017 6. Jandaghi et al. (2016) Gastroenterology, in press (doi: 10.1053/j.gastro.2016.08.040) www.dkfz.de/funct_genome/ Note: This abstract was not presented at the meeting. Citation Format: Mohamed S. Alhamdani, Andrea S. Bauer, Jörg D. Hoheisel. Mapping the molecular communication within the tumor microenvironment of pancreatic cancer as well as between tumor and peritumoral tissue [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 5925. doi:10.1158/1538-7445.AM2017-5925

Introduction and aims: Although the overall five-year survival of all patients with cancer stands at 63%, for pancreatic cancer patients, it is a disheartening 8% - a number that remains largely unchanged for three decades. Of the patients diagnosed with pancreatic cancer, about 85% exhibit pancreatic ductal adenocarcinoma (PDAC). Most of these patients die within 4 to 6 months after diagnosis. The poor prognosis is caused by the detection at only late stages, and lack of effective options for chemotherapy. The widely used chemotherapeutic agent gemcitabine, confers a median survival advantage of only 6 months, and resistance to therapy develops in the vast majority of patients. Given this poor prognosis of patients with PDAC, there is an urgent need to find more effective therapies. Experimental procedures: Microarrays were used to perform global gene expression profiling in 195 PDAC and 41 normal pancreatic tissue samples. Using these profiling data, we undertook an extensive analysis of PDAC transcriptome by superimposing the pathway context and interaction networks of aberrantly expressed genes to identify factors with central roles in PDAC pathways. Next, tissue microarray analysis (TMA) were used to verify the expression of the candidate target in independent set of 152 samples comprising 40 normal pancreatic tissues, 49 chronic pancreatitis sections (CP) and 63 PDAC samples. We further validated the functional relevance of the candidate molecule through RNA interference (RNAi) and pharmacological inhibition in vitro and in vivo. Results: We identified dopamine receptor D2 (DRD2) as a key modulator of cancer pathways in PDAC. DRD2 up-regulation at the protein level was validated in a large independent sample cohort. Most importantly, we found that blockade of DRD2, through RNAi or pharmacological inhibition using FDA-approved antagonists hampers the proliferative and invasive capacities of pancreatic cancer cells while modulating cAMP and endoplasmic reticulum stress pathways. Also, we observed a potent effect of DRD2 antagonists on inhibition of cancer cell proliferation using different model of primary and metastatic tumor cells derived from spontaneous pancreatic cancer mouse models and patient-derived pancreatic adenocarcinoma mouse xenograft (PDX) models. Conclusions: Our findings demonstrate that inhibiting DRD2 represents a novel therapeutic approach for PDAC. Since DRD2 inhibitors are already in the clinic for the management of schizophrenia, our results from this study could support a drug repurposing strategy to expedite clinical evaluation of these agents as novel therapy against pancreatic cancer. Citation Format: Pouria Jandaghi, Hamed S. Najafabadi, Andrea Bauer, Andreas I. Papadakis, Matteo Fassan, Anita Hall, Anie Monast, Maryam Safisamghabadi, Magnus von Knebel Doeberitz, John P. Neoptolemos, Eithne Costello, William Greenhalf, Aldo Scarpa, Bence Sipos, Daniel Auld, Mark Lathrop, Morag Park, Markus W. Büchler, Oliver Strobel, Thilo Hackert, Nathalia Giese, George Zogopoulos, Veena Sangwan, Sidong Huang, Jörg D. Hoheisel, Yaser Riazalhosseini. DRD2 is critical for pancreatic cancer and promises pharmacological therapy by already established antagonists [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1135. doi:10.1158/1538-7445.AM2017-1135

The CAF1-NOT complex of Trypanosoma brucei, like that of other eukaryotes, contains several NOT proteins (NOT1, NOT3, NOT3/5, NOT10, and NOT11), NOT9/CAF40, and the CAF1 deadenylase, which targets 3' poly(A) tails. Again like other eukaryotes, deadenylation is the first step in the degradation of most trypanosome mRNAs. In animal cells, destruction of unstable mRNAs is accelerated by proteins that bind the RNA in a sequence-specific fashion, and also recruit the CAF1-NOT complex. However, this has not yet been demonstrated for T. brucei. To find interaction partners for the trypanosome NOT complex, we did a genome-wide yeast two-hybrid screen, using a random shotgun protein fragment library, with the subunits CAF40, NOT2, NOT10 and NOT11 as baits. To assess interaction specificity, we compared the results with those from other trypanosome proteins, including the cyclin-F-box protein CFB1. The yeast 2-hybrid screen yielded four putatively interacting proteins for NOT2, eleven for NOT11, but only one for NOT9/CAF40. Both CFB1 and NOT10 had over a hundred potential interactions, indicating a lack of specificity. Nevertheless, a detected interaction between NOT10 and NOT11 is likely to be genuine. We also identified proteins that co-purify with affinity tagged NOT9/CAF40 by mass spectrometry. The co-purifying proteins did not include the 2-hybrid partner, but the results confirmed NOT9/CAF40 association with the CAF1-NOT complex, and suggested interactions with expression-repressing RNA-binding proteins (ZC3H8, ZC3H30, and ZC3H46) and the deadenylase PARN3.

After the establishment of DNA/RNA sequencing as a means of clinical diagnosis, the analysis of the proteome is next in line. As a matter of fact, proteome-based diagnostics is bound to be even more informative, since proteins are directly involved in the actual cellular processes that are responsible for disease. However, the structural variation and the biochemical differences between proteins, the much wider range in concentration and their spatial distribution as well as the fact that protein activity frequently relies on interaction increase the methodological complexity enormously, particularly if an accuracy and robustness is required that is sufficient for clinical utility. Here, we discuss the contribution that protein microarray formats could play towards proteome-based diagnostics.

In trypanosomatids, gene expression is regulated mainly by post-transcriptional mechanisms, which affect mRNA processing, translation and degradation. Currently, our understanding of factors that regulate either mRNA stability or translation is rather limited. We know that often, the regulators are proteins that bind to the 3′-untranslated region; they presumably interact with ribonucleases and translation factors. However, very few such proteins have been characterized in any detail. Here we describe a genome-wide screen to find proteins implicated in post-transcriptional regulation in Trypanosoma brucei. We made a library of random genomic fragments in a plasmid that was designed for expression of proteins fused to an RNA-binding domain, the lambda-N peptide. This was transfected into cells expressing mRNAs encoding a positive or negative selectable marker, and bearing the “boxB” lambda-N recognition element in the 3′-untranslated region. The screen identified about 300 proteins that could be implicated in post-transcriptional mRNA regulation. These included known regulators, degradative enzymes and translation factors, many canonical RNA-binding proteins, and proteins that act via multi-protein complexes. However there were also nearly 150 potential regulators with no previously annotated function, or functions unrelated to mRNA metabolism. Almost 50 novel regulators were shown to bind RNA using a targeted proteome array. The screen also provided fine structure mapping of the hit candidates' functional domains. Our findings not only confirm the key role that RNA-binding proteins play in the regulation of gene expression in trypanosomatids, but also suggest new roles for previously uncharacterized proteins., Author Summary Survival and adaptation of trypanosomatids to new surroundings requires activation of specific gene networks. This is mainly achieved by post-transcriptional mechanisms, and proteins that bind to specific mRNAs, and influence degradation or translation, are known to be important. However, only few such proteins have been characterized to date. The trypanosome genome encodes over 150 proteins with conserved RNA-binding domains, and it is very likely that additional proteins that do not have such domains could also modulate mRNA fate. Here, we report the results of a genome-wide screen to identify mRNA-fate regulators in Trypanosoma brucei. We used a method called “tethering” to artificially attach protein fragments to an mRNA. Our findings confirmed the role of RNA-binding proteins in the regulation of mRNA fate, and also suggested such roles for many other proteins, including some metabolic enzymes. Our results should serve as a useful resource. Moreover, the tethering screen approach could readily be adapted for use in other organisms.

To identify miRNAs whose expression are differentially regulated during trypanosome infections a microarray targeting more than 600 rat miRNA was used to analyze the miRNA expression profiles between uninfected rats and animals infected by Trypanosoma congolense and Trypanosoma brucei s.l. The potential targets of dysregulated miRNAs as well as their biological pathways and functions were predicted using several bioinformatics software tools. Irrespective of the infecting trypanosome species, eight miRNAs (seven up- and one down-regulated) were dysregulated during infections. Moreover, other miRNAs were differentially regulated in rats infected by specific trypanosome species. Functional analyses of differentially regulated miRNAs indicated their involvement in diverse biological processes. Among these, transcription repressor activity, gene expression control as well as protein transporter activity were predominant. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis of dysregulated miRNAs revealed their involvement in several biological pathways and disease conditions. This suggests possible modulation of such pathways following trypanosome infection; for example, the MAPK signaling pathway which is known to play vital roles in apoptosis, innate immune response and response to viral infections was highly affected. Axon guidance was equally highly impacted and may indicate a cross reactivity between pathogen proteins and guidance molecules representing one pathological mechanism as it has been observed with influenza HA. Furthermore, Ingenuity pathway analyses of dysregulated miRNAs and potential targets indicated strong association with inflammatory responses, cell death and survival as well as infectious diseases. The data generated here provide valuable information to understand the regulatory function of miRNAs during trypanosome infections. They improved our knowledge on host–parasite cross-talks and provide a framework for investigations to understand the development of trypanosomes in their hosts as well as the differences in the clinical and pathological evolutions of the disease.

Background: Synthetic lethality is an appealing technique for selectively targeting cancer cells which have acquired molecular changes that distinguish them from normal cells. High-throughput RNAi-based screens have been successfully used to identify synthetic lethal pathways with well-characterized tumor suppressors and oncogenes. The recent identification of metabolic tumor suppressors suggests that the concept of synthetic lethality can be applied to selectively target cancer metabolism as well. Results: Here, we perform a high-throughput RNAi screen to identify synthetic lethal genes with fumarate hydratase (FH), a metabolic tumor suppressor whose loss-of-function has been associated with hereditary leiomyomatosis and renal cell carcinoma (HLRCC). Our unbiased screen identified synthetic lethality between FH and several genes in heme metabolism, in accordance with recent findings. Furthermore, we identified an enrichment of synthetic lethality with adenylate cyclases. The effects were validated in an embryonic kidney cell line (HEK293T) and in HLRCC-patient derived cells (UOK262) via both genetic and pharmacological inhibition. The reliance on adenylate cyclases in FH-deficient cells is consistent with increased cyclic-AMP levels, which may act to regulate cellular energy metabolism. Conclusions: The identified synthetic lethality of FH with adenylate cyclases suggests a new potential target for treating HLRCC patients.

The quest for a better understanding of organisms, and the human body in particular, at a comprehensive level has stimulated the development of techniques and processes that permit the analysis and assessment of biomedical information at high throughput. This has had substantial impact, not only by merely gathering knowledge but also by making scientists aware of the necessity to view organisms as complex biological systems rather than an assembly of individual biochemical pathways. Proteomics is still lagging behind genomics in this holistic analysis, however, because of the much higher degree of complexity that needs to be dealt with. Protein arrays, among other techniques, offer the prospect of advancing global protein analysis, similar to the impact of arrays in genomics. In basic research, protein arrays already contributed substantially, permitting the identification of many protein interactions and providing information on expression variations and structural changes, for example. Beside the fact of high throughput, arrays require relatively small reaction volumes, which is critical in view of the lack of means for in vitro protein amplification and beneficial for good assay sensitivity. Applications comprise many facets, such as the search for drug targets, analysis of host-parasite interactions and, above all, biomarker discovery. Despite the achievements and promises of the technology, it is still far from being a standard approach and many technical developments are ongoing. In this review, we look at the state of protein array technology and discuss future perspectives.

Gene arrays containing all currently known open reading frames of Bacillus subtilis were used to examine the general stress response of Bacillus . By proteomics, transcriptional analysis, transposon mutagenesis, and consensus promoter-based screening, 75 genes had previously been described as ς B -dependent general stress genes. The present gene array-based analysis confirmed 62 of these already known general stress genes and detected 63 additional genes subject to control by the stress sigma factor ς B . At least 24 of these 125 ς B -dependent genes seemed to be subject to a second, ς B -independent stress induction mechanism. Therefore, this transcriptional profiling revealed almost four times as many regulon members as the proteomic approach, but failure of confirmation of all known members of the ς B regulon indicates that even this approach has not yet elucidated the entire regulon. Most of the ς B -dependent general stress proteins are probably located in the cytoplasm, but 25 contain at least one membrane-spanning domain, and at least 6 proteins appear to be secreted. The functions of most of the newly described genes are still unknown. However, their classification as ς B -dependent stress genes argues that their products most likely perform functions in stress management and help to provide the nongrowing cell with multiple stress resistance. A comprehensive screening program analyzing the multiple stress resistance of mutants with mutations in single stress genes is in progress. The first results of this program, showing the diminished salt resistance of yjbC and yjbD mutants compared to that of the wild type, are presented. Only a few new ς B -dependent proteins with already known functions were found, among them SodA, encoding a superoxide dismutase. In addition to analysis of the ς B -dependent general stress regulon, a comprehensive list of genes induced by heat, salt, or ethanol stress in a ς B -independent manner is presented. Perhaps the most interesting of the ς B -independent stress phenomena was the induction of the extracytoplasmic function sigma factor ς W and its entire regulon by salt shock.

A system was established for the parallel synthesis of peptide library arrays in a fully automated manner. Synthesis takes place in blocks made of polyoxymethylene that hold during all synthesis steps a polypropylene membrane of 8 × 12 cm. Yields are in the nanomole range, obtained at a low consumption of reagents. The current setup is based on a commercially available pipetting robot and supports the generation of 1536 different oligomers/run. Much higher array densities are possible because the membranes are amicable to spot diameters of down to 200 μm, naturally at a cost of the absolute amount produced of each oligomer. The method was put to use for the creation of arrayed libraries of peptide nucleic acids (PNAs). These can be employed both as a source of PNA molecules applied individually in experimentation subsequent to their release or as intact oligomer arrays in hybridization analyses.

Correspondence analysis is an explorative computational method for the study of associations between variables. Much like principal component analysis, it displays a low-dimensional projection of the data, e.g., into a plane. It does this, though, for two variables simultaneously, thus revealing associations between them. Here, we demonstrate the applicability of correspondence analysis to and high value for the analysis of microarray data, displaying associations between genes and experiments. To introduce the method, we show its application to the well-known Saccharomyces cerevisiae cell-cycle synchronization data by Spellman et al. [Spellman, P. T., Sherlock, G., Zhang, M. Q., Iyer, V. R., Anders, K., Eisen, M. B., Brown, P. O., Botstein, D. & Futcher, B. (1998) Mol. Biol. Cell 9, 3273–3297], allowing for comparison with their visualization of this data set. Furthermore, we apply correspondence analysis to a non-time-series data set of our own, thus supporting its general applicability to microarray data of different complexity, underlying structure, and experimental strategy (both two-channel fluorescence-tag and radioactive labeling).

The photolabile 3’-O-{[2-(2-nitrophenyl)propoxy]carbonyl}-protected 5’-phosphoramidites (16 ‐ 18) were synthesized (see Scheme) for an alternative mode of light-directed production of oligonucleotide arrays. Because of the characteristics of these monomeric building blocks, photolithographic in situ DNA synthesis occurred in 5’! 3’ direction, in agreement with the orientation of enzymatic synthesis. Synthesis yields were as good as those of conventional reactions. The resulting oligonucleotides are attached to the surface via their 5’termini, while the 3’-hydroxy groups are available as substrates for enzymatic reactions such as primer extension upon hybridization of a DNA template (see Fig. 2). The production of such oligonucleotide chips adds new procedural avenues to the growing number of applications of DNA microarrays.

As part of the German Neurospora crassa genome project, physical clone maps of linkage groups II and V of N. crassa were generated by hybridization-based mapping. To this end, two different types of clone library were used: (1) a bacterial artificial clone library of 15-fold genome coverage and an average insert size of 69 kb, and (2) three cosmid libraries—each cloned in a different vector—with 17-fold coverage and 34 kb average insert size. For analysis, the libraries were arrayed on filters. At the first stage, chromosome-specific sublibraries were selected by hybridization of the respective chromosomal DNA fragments isolated from pulsed-field electrophoresis gels. Subsequently, the sublibraries were exhaustively ordered by single clone hybridizations. Eventually, the global libraries were used again for gap filling. By this means, physical maps were generated that consist of 13 and 21 contigs, respectively, and form the basis of the current sequencing effort on the two chromosomes.

Saccharomyces cerevisiaestrains frequently exhibit rather specific phenotypic features needed for adaptation to a special environment. Wine yeast strains are able to ferment musts, for example, while other industrial or laboratory strains fail to do so. The genetic differences that characterize wine yeast strains are poorly understood, however. As a first search of genetic differences between wine and laboratory strains, we performed DNA-array analyses on the typical wine yeast strain T73 and the standard laboratory background in S288c. Our analysis shows that even under normal conditions, logarithmic growth in YPD medium, the two strains have expression patterns that differ significantly in more than 40 genes. Subsequent studies indicated that these differences correlate with small changes in promoter regions or variations in gene copy number. Blotting copy numbers vs. transcript levels produced patterns, which were specific for the individual strains and could be used for a characterization of unknown samples.

A new member of the NAP/SET gene family, named MB20, was isolated from a mouse brain cDNA library by virtue of its CAG trinucleotide repetitive sequence and a brain-specific gene expression pattern. The complementary DNA sequence predicted an open reading frame of 545 amino acids, with four copies of an 11-amino-acid direct repeat. The consensus sequence for these repeats, PKE-P--K-EE, is present in the largest subunit of murine neurofilament (NF-H). The MB20 protein sequence is homologous to nucleosome assembly proteins of several species, and its C-terminus is homologous to SET proteins. Immunoblot analysis revealed that MB20 protein is expressed in the brain. Transient transfection and immunofluorescence microscopy demonstrated that MB20 is distributed in the cytoplasm as well as in the nucleus. Deletion of the N-terminal end imparts the complete localization of MB20 protein to the nucleus. The ability of MB20 to bind histone proteins was analyzed by sucrose gradient sedimentation and by retention of histone proteins by immobilized MB20 protein. On the basis of its expression pattern, predicted sequence, and protein properties, we propose that MB20 plays a unique role in modulating nucleosome structure and gene expression during brain development.

Motivation: The technology of hybridization to DNA arrays is used to obtain the expression levels of many different genes simultaneously. It enables searching for genes that are expressed specifically under certain conditions. However, the technology produces large amounts of data demanding computational methods for their analysis. It is necessary to find ways to compare data from different experiments and to consider the quality and reproducibility of the data. Results: Data analyzed in this paper have been generated by hybridization of radioactively labeled targets to DNA arrays spotted on nylon membranes. We introduce methods to compare the intensity values of several hybridization experiments. This is essential to find differentially expressed genes or to do pattern analysis. We also discuss possibilities for quality control of the acquired data. Availability: http://www.dkfz.de/tbi Contact: M.Vingron@dkfz-heidelberg.de To whom correspondence should be addressed.

A cosmid library was made of the 2.7 Mb genome of the Gram-negative plant pathogenic bacterium Xylella fastidiosa and analysed by hybridisation mapping. Clones taken from the library as well as genomic restriction fragments of rarely cutting enzymes were used as probes. The latter served as a backbone for ordering the initial map contigs and thus facilitated gap closure. Also, the co-linearity of the cosmid map, and thus the eventual sequence, could be confirmed by this process. A subset of the eventual clone coverage was distributed to the Brazilian X.FASTIDIOSA: sequencing network. Data from this effort confirmed more quantitatively initial results from the hybridisation mapping that the redundancy of clone coverage ranged between 0 and 45-fold across the genome, while the average was 15-fold by experimental design. Reasons for this not unexpected fluctuation and the actual gaps are being discussed, as is the use of this effect for functional studies.

A unique Drosophila gene encodes two novel signaling proteins. Drosophila A kinase anchor protein 200 (DAKAP200) (753 amino acids) binds regulatory subunits of protein kinase AII (PKAII) isoforms in vitro and in intact cells. The acidic DAKAP200 polypeptide (pI approximately 3.8) contains an optimal N-terminal myristoylation site and a positively charged domain that resembles the multifunctional phosphorylation site domain of vertebrate myristoylated alanine-rich C kinase substrate proteins. The 15-kilobase pair DAKAP200 gene contains six exons and encodes a second protein, DeltaDAKAP200. DeltaDAKAP200 is derived from DAKAP200 transcripts by excision of exon 5 (381 codons), which encodes the PKAII binding region and a Pro-rich sequence. DeltaDAKAP200 appears to be a myristoylated alanine-rich C kinase substrate analog. DAKAP200 and DeltaDAKAP200 are evident in vivo at all stages of Drosophila development. Thus, both proteins may play important physiological roles throughout the life span of the organism. Nevertheless, DAKAP200 gene expression is regulated. Maximal levels of DAKAP200 are detected in the pupal phase of development; DeltaDAKAP200 content is elevated 7-fold in adult head (brain) relative to other body parts. Enhancement or suppression of exon 5 excision during DAKAP200 pre-mRNA processing provides potential mechanisms for regulating anchoring of PKAII and targeting of cAMP signals to effector sites in cytoskeleton and/or organelles.

Open reading frames (6116) of the budding yeast Saccharomyces cerevisiae were PCR-amplified from genomic DNA using 12,232 primers specific to the ends of the coding sequences; the success rate of amplification was 97%. PCR-products were made accessible to hybridization by being arrayed at very high density on solid support media using various robotic devices. Probes made from total RNA preparations were hybridized for the analysis of the transcriptional activity of yeast under various growth conditions and of diVerent strains. Experimental factors that proved critical to the performance, such as diVerent RNA isolation procedures and the assessment of hybridization results, for example, were investigated in detail. Various software tools were developed that permit convenient handling and sound analysis of the large data quantities obtained from transcriptional profiling studies. Comprehensive arrays are being distributed within the European Yeast Functional Analysis Network (EUROFAN) and beyond. ? 1998 John Wiley & Sons, Ltd.

As part of the Trypanosoma Genome Initiative launched by the World Health Organization (WHO), a physical clone map of Trypanosoma cruzi chromosomes III and IV was generated to facilitate both DNA sequence analysis of the parasite's genome and the investigation of chromosome organization. Apart from a few genetic markers, anonymous cosmids were taken from chromosomal sublibraries and individually hybridized to filter arrays of the relevant cosmid library. The probe order was determined from the hybridization fingerprint results and used to define a fitting clone order, with few gaps remaining. The results were independently verified by hybridizations to a bacterial artificial chromosome (BAC) library and, in case of chromosome III, restriction mapping. For gap closure, additional experiments on a total cosmid library were carried out. The possible tiling paths consist of 26 clones for chromosome III (610 kbp) and 28 clones for chromosome IV (680 kbp).

Oligonucleotide microarrays have caught the attention of a wide scientific audience because of a collection of recent publications that demonstrate the technique's huge potential in a development that seems to be having similar consequences for molecular genetics as the arrival of the semiconductor had for electronics. From today's still rather confined basis, the methodology is bound to expand and diversify, radically transforming not only molecular genetics but also numerous other fields of application in medicine and pharmaceutical research.

Arrays of up to some 1000 PNA oligomers of individual sequence were synthesised on polymer membranes using a robotic device originally designed for peptide synthesis. At approximately 96%, the stepwise synthesis efficiency was comparable to standard PNA synthesis procedures. Optionally, the individual, fully deprotected PNA oligomers could be removed from the support for further use, because an enzymatically cleavable but otherwise stable linker was used. Since PNA arrays could form powerful tools for hybridisation based DNA screening assays due to some favourable features of the PNA molecules, the hybridisation behaviour of DNA probes to PNA arrays was investigated for a precise understanding of PNA-DNA interactions on solid support. Hybridisation followed the Watson-Crick base pairing rules with higher duplex stabilities than on corresponding DNA oligonucleotide sensors. Both the affinity and specificity of DNA hybridisation to the PNA oligomers depended on the hybridisation conditions more than expected. Successful discrimination between hybridisation to full complementary PNA sequences and truncated or mismatched versions was possible at salt concentrations down to 10 mM Na+and below, although an increasing tendency to unspecific DNA binding and few strong mismatch hybridisation events were observed.

The establishment of a new synthesis procedure for the preparation of oligonucleotide arrays is described. A modified phosphoramidite chemistry allowed the in situ synthesis of oligomer arrays on specially derivatized polypropylene membranes which can be used both for hybridisation experiments and for the isolation of the individual oligonucleotides.

cDNA representational difference analysis (cDNA-RDA) is a polymerase-chain-reaction-coupled subtractive and kinetic enrichment procedure for the isolation of differentially expressed genes. In this study, the technique was used to isolate novel genes specifically expressed in pancreatic cancer. cDNA-RDA was done on cDNA reverse transcribed from a poly(A)+ mRNA pool made from 10 cancer tissues (tester) by using as a driver a cDNA from a poly(A)+ mRNA pool made from a combination of 10 tissues of chronic pancreatitis and 10 healthy pancreatic tissues. The use of chronic pancreatitis in addition to healthy pancreas mRNA in the driver preparation eliminated the influence of stromal tissue components present as contamination in the cancer-specific preparations. Such cDNA-RDA led to the isolation of 16 distinct, cancer-specific gene fragments. These were confirmed to be overexpressed in pancreatic cancer tissues by Northern blot analysis. Sequence analysis revealed homologies to five genes previously implicated in the carcinogenesis of the pancreas or other tissues. Eleven fragments had no significant homology to any known gene and thus represent novel candidate disease genes. The experiments demonstrate that cDNA-RDA is a reproducible and highly efficient method for the identification of novel genes with cancer-specific expression. Genes Chromosom. Cancer 19:97–103, 1997. © 1997 Wiley-Liss, Inc.

Modified phosphoramidite chemistry allows the generation of oligonucleotide arrays containing molecules of high purity. Such arrays are being used for experiments on the determination of expression levels in yeast and for investigations of the hybridization behaviour of modified oligonucleotides such as phosphorothioate derivatives.

Pancreatic stellate cells are key mediators in chronic pancreatitis and play a central role in the development of pancreatic fibrosis, stromal formation, and progression of pancreatic cancer. This study was aimed at investigating molecular changes at the level of the proteome that are associated with the activation of pancreatic stellate cells by proinflammatory factors, namely TNF-α, FGF2, IL6, and chemokine (C-C motif) ligand 4 (CCL4). They were added individually to cells growing in serum-free medium next to controls in medium supplemented with serum, thus containing a mixture of them all, or in serum-free medium alone. Variations were detected by means of a microarray of 810 antibodies targeting relevant proteins. All tested factors triggered increased proliferation and migration. Further analysis showed that TNF-α is the prime factor responsible for the activation of pancreatic stellate cells. CCL4 is associated with cellular neovascularization, whereas FGF2 and IL6 induction led to better cellular survival and decreased apoptotic activity of the stellate cells. The identified direct effects of individual cytokines on human pancreatic stellate cells provide new insights about their contribution to pancreatic cancer promotion.

Pancreatic cancer is one of the leading cancer-related causes of death in the western world with an urgent need for new treatment strategies. Recently, hyperforin and nemorosone have been described as promising anti-cancer lead compounds. While hyperforin has been thoroughly investigated in vitro and in vivo, in vivo data for nemorosone are still missing. Thus, we investigated the growth-inhibitory potential of nemorosone on pancreatic cancer xenografts in NMRI nu/nu mice and determined basic pharmacokinetic parameters. Xenograft tumors were treated with nemorosone and gemcitabine, the current standard of care. Tumor sections were subjected to H&E as well as caspase 3 and Ki-67 staining. Nemorosone plasma kinetics were determined by HPLC and mass spectrometry. Induction of CYP3A4 and other metabolizing enzymes by nemorosone and hyperforin was tested on primary hepatocytes using qRT-PCR. At a dose of 50 mg/kg nemorosone per day, a significant growth-inhibitory effect was observed in pancreatic cancer xenografts. The compound was well tolerated and rapidly absorbed into the bloodstream with a half-life of approximately 30 min. Different metabolites were detected, possibly resembling CYP3A4-independent oxidation products. It is concluded that nemorosone is a potential anti-cancer lead compound with good bioavailability, little side-effects and promising growth-inhibitory effects, thus representing a valuable compound for a combination therapy approach. © 2013 Wolf et al.

KRAS mutations are major factors involved in initiation and maintenance of pancreatic tumors. The impact of different mutations on patient survival has not been clearly defined. We screened tumors from 171 pancreatic cancer patients for mutations in KRAS and CDKN2A genes. Mutations in KRAS were detected in 134 tumors, with 131 in codon 12 and only 3 in codon 61. The GGT>GAT (G12D) was the most frequent mutation and was present in 60% (80/134). Deletions and mutations in CDKN2A were detected in 43 tumors. Analysis showed that KRAS mutations were associated with reduced patient survival in both malignant exocrine and ductal adenocarcinomas (PDAC). Patients with PDACs that had KRAS mutations showed a median survival of 17 months compared to 30 months for those without mutations (log-rank P = 0.07) with a multivariate hazard ratio (HR) of 2.19 (95% CI 1.09-4.42). The patients with G12D mutation showed a median survival of 16 months (log-rank-test P = 0.03) and an associated multivariate HR 2.42 (95% CI 1.14-2.67). Although, the association of survival in PDAC patients with CDKN2A aberrations in tumors was not statistically significant, the sub-group of patients with concomitant KRAS mutations and CDKN2A alterations in tumors were associated with a median survival of 13.5 months compared to 22 months without mutation (log-rank-test P = 0.02) and a corresponding HR of 3.07 (95% CI 1.33-7.10). Our results are indicative of an association between mutational status and survival in PDAC patients, which if confirmed in subsequent studies can have potential clinical application. (Less)

Introduction: Breast cancer stem cells are suspected to be responsible for tumour recurrence, metastasis formation as well as chemoresistance. Consequently, great efforts have been made to understand the molecular mechanisms underlying cancer stem cell maintenance. In order to study these rare cells in-vitro, they are typically enriched via mammosphere culture. Here we developed a mammosphere-based negative selection shRNAi screening system suitable to analyse the involvement of thousands of genes in the survival of cells with cancer stem cell properties. Methods: We describe a sub-population expressing the stem-like marker CD44+/CD24-/low in SUM149 that were enriched in mammospheres. To identify genes functionally involved in the maintenance of the sub-population with cancer stem cell properties, we targeted over 5000 genes by RNAi and tested their ability to grow as mammospheres. The identified candidate ATG4A was validated in mammosphere and soft agar colony formation assays. Further, we evaluated the influence of ATG4A expression on the sub-population expressing the stem-like marker CD44+/CD24low. Next, the tumorigenic potential of SUM149 after up- or down-regulation of ATG4A was examined by xenograft experiments. Results: Using this method, Jak-STAT as well as cytokine signalling were identified to be involved in mammosphere formation. Furthermore, the autophagy regulator ATG4A was found to be essential for the maintenance of a sub-population with cancer stem cell properties and to regulate breast cancer cell tumourigenicity in vivo. Conclusion: In summary, we present a high-throughput screening system to identify genes involved in cancer stem cell maintenance and demonstrate its utility by means of ATG4A.

Chemotherapy of advanced pancreatic cancer has mainly been gemcitabine-based for the past fifteen years, with only limited effect. Recently, combination therapy that also targets checkpoint kinase 1 (CHK1) has become an attractive option. The central role of CHK1 in many DNA damage response pathways, however, may result in undesired cytotoxicity in normal cells causing side effects. We were searching for other target molecules of similar function that may be more specific and thus better suited for combination therapy. To this end a negative selection RNAi screen was performed in cell lines with small hairpin RNA molecules targeting over 10,000 genes. Genes that were found to be synthetically lethal with gemcitabine and whose proteins are acting upstream of CHK1 were characterised in more detail. In particular, the inhibition of RAD17 potentiated gemcitabine cytotoxicity in the pancreatic cancer cell lines BxPC-3, MiaPaca-2 and the primary cell line JoPaca-1 that closely resembles primary tumour tissue. Further analysis showed that the synergistic effect of RAD17 knockdown and gemcitabine leads to forced mitotic entry of cells arrested in S-phase by gemcitabine treatment, resulting in asymmetric DNA distribution during anaphase followed by DNA fragmentation and finally cell death by mitotic catastrophe. Our data suggest RAD17 as a novel target for gemcitabine combination therapy supplementing or complementing inhibition of checkpoint kinase 1. As opposed to CHK1, RAD17 knockdown by itself does not lead to abnormal DNA segregation, suggesting a more specific action.

Based on the oligomer-chip technology, oligonucleotide arrays were synthesized directly on polypropylene sheets by a modified phosphoramidite chemistry using β-eliminating nucleobase-protecting groups in combination with a succinate solid-phase linker. This method decouples the oligonucleotide deprotection from the support cleavage procedure, in contrast to standard phosphoramidite chemistry. In addition to being reliable substrates for hybridization experiments, the arrays also serve as source for the isolation of individual oligonucleotides. Technically, this allowed for a direct control of the quality of the arrayed oligomers. The released compounds were sufficient in amount and purity to work without further purification in PCR and DNA-sequencing reactions, with the results being identical to controls with commercially obtained primer molecules. Consequences for oligomer-chip hybridization procedures, the applicability of such hybrid-function arrays in, for example, diagnostics or comparative biology, and developments toward parallel primer synthesis are discussed.

A 39,350 bp cosmid containing DNA of Saccharomyces cerevisiae chromosome XII was sequenced by making use of ordered sub-clones of 1 kb insert-length selected from a physical clone map. In a first analysis, 96 clones were sequenced from both ends (10 gels) with two standard sequencing primers covering 91% of the total sequence (49% double-stranded). After selection of another eight clones six gaps of a total of 1.8 kb and several single-stranded stretches remained. These gaps were closed by 86 primer walks leading to an overall redundancy of 4.4 per base and a total of 292 sequencing reactions. The number of walking primers can be reduced significantly by more uniform clone lengths and longer sequencing reads, thus, the total amount of sequencing reactions can approach the minimum value achieved with primer walking strategies, with only very few walking primers needed for gap closure.

GATA transcription factors are DNA-binding proteins that recognize the core consensus sequence, WGATAR. Previous studies indicated that GATA factors play an important role in the development of tissue-specific functions in vertebrates. Here we report the identification of a new Drosophila melanogaster GATA factor, dGATAc, which displays a distinct expression pattern in embryos. The local concentration of dGATAc transcripts varies at different stages, being most prominent in the procephalic region at stages 6-10 and in the posterior spiracles, the gut, and the central nervous system at stages 11-13. On the basis of its predicted sequence, DNA-binding assays were performed to confirm that the dGATAc gene encodes a zinc finger protein that can bind the GATA consensus motif with predicted specificity. Two independent mutants carrying a P-element insertion at the dGATAc gene promoter region were identified that are homozygous lethal at the embryonic stage. Using a genetic scheme, it was demonstrated that the lack of dGATAc function can block normal embryonic development. Our results suggest that the dGATAc protein is a tissue-specific transcription factor that is vital to the development of multiple organ systems in D. melanogaster.

For the sequencing of the left arm of chromosome XII of Saccharomyces cerevisiae, we fine-mapped the entire 450 kb fragment between the ribosomal DNA (rDNA) and the left telomere. Total yeast DNA in agarose blocks was digested with I-PpoI, which exclusively cuts once in each repeat unit of the rDNA. The resulting fragment was isolated from pulsed-field gels, together with the equally sized chromosome IX. A cosmid library of some 30-fold chromosome coverage was generated from this material, with the cloning efficiency being around 20,000 clones per microgram genomic DNA. The chromosome XII and IX specific clones were identified by complementary hybridizations with the respective chromosomes. For the left arm of chromosome XII, a contiguous cosmid array (contig) with an average map resolution better than 9 kb was generated by clone hybridization procedures. The ordered library serves as a tool for the physical mapping of genetic markers. Also, a minimal set of 15 clones was selected that covers the entire fragment. This subset forms the basis for the generation of a template map of much higher resolution for a directed sequencing of the left arm of chromosome XII.

Dilated cardiomyopathies (DCM) show remarkable variability in their age of onset, phenotypic presentation, and clinical course. Hence, disease mechanisms must exist that modify the occurrence and progression of DCM, either by genetic or epigenetic factors that may interact with environmental stimuli. In the present study, we examined genome-wide cardiac DNA methylation in patients with idiopathic DCM and controls. We detected methylation differences in pathways related to heart disease, but also in genes with yet unknown function in DCM or heart failure, namely Lymphocyte antigen 75 (LY75), Tyrosine kinase-type cell surface receptor HER3 (ERBB3), Homeobox B13 (HOXB13) and Adenosine receptor A2A (ADORA2A). Mass-spectrometric analysis and bisulphite-sequencing enabled confirmation of the observed DNA methylation changes in independent cohorts. Aberrant DNA methylation in DCM patients was associated with significant changes in LY75 and ADORA2A mRNA expression, but not in ERBB3 and HOXB13. In vivo studies of orthologous ly75 and adora2a in zebrafish demonstrate a functional role of these genes in adaptive or maladaptive pathways in heart failure.

DNA methylation patterns have been recognised as cancer-specific markers with high potential for clinical applications. We aimed at identifying methylation variations that differentiate between breast cancers and other breast tissue entities to establish a signature for diagnosis. Candidate genomic loci were analysed in 117 fresh-frozen breast specimens, which included cancer, benign and normal breast tissues from patients as well as material from healthy individuals. A cancer-specific DNA methylation signature was identified by microarray analysis in a test set of samples (n = 52, p2.1 × 10(-4)) and its performance was assessed through bisulphite pyrosequencing in an independent validation set (n = 65, p1.9 × 10(-7)). The signature is associated with SFRP2 and GHSR genes, and exhibited significant hypermethylation in cancers. Normal-appearing breast tissues from cancer patients were also methylated at these loci but to a markedly lower extent. This occurrence of methylated DNA in normal breast tissue of cancer patients is indicative of an epigenetic field defect. Concerning diagnosis, receiver operating characteristic curves and the corresponding area under the curve (AUC) analysis demonstrated a very high sensitivity and specificity of 89.3 and 100 %, respectively, for the GHSR methylation pattern (AUC0.99). To date, this represents the DNA methylation marker of the highest sensitivity and specificity for breast cancer diagnosis. Functionally, ectopic expression of GHSR in a cell line model reduced breast cancer cell invasion without affecting cell viability upon stimulation of cells with ghrelin. Our data suggest a link between epigenetic down-regulation of GHSR and breast cancer cell invasion.

Standard cancer cell lines do not model the intratumoural heterogeneity situation sufficiently. Clonal selection leads to a homogeneous population of cells by genetic drift. Heterogeneity of tumour cells, however, is particularly critical for therapeutically relevant studies, since it is a prerequisite for acquiring drug resistance and reoccurrence of tumours. Here, we report the isolation of a highly tumourigenic primary pancreatic cancer cell line, called JoPaca-1 and its detailed characterization at multiple levels. Implantation of as few as 100 JoPaca-1 cells into immunodeficient mice gave rise to tumours that were histologically very similar to the primary tumour. The high heterogeneity of JoPaca-1 was reflected by diverse cell morphology and a substantial number of chromosomal aberrations. Comparative whole-genome sequencing of JoPaca-1 and BxPC-3 revealed mutations in genes frequently altered in pancreatic cancer. Exceptionally high expression of cancer stem cell markers and a high clonogenic potential in vitro and in vivo was observed. All of these attributes make this cell line an extremely valuable model to study the biology of and pharmaceutical effects on pancreatic cancer.