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Background Although a pivotal role of microRNA (miRNA, miR) in the pathogenesis of Huntington’s disease (HD) is increasingly recognized, the molecular functions of miRNAs in the pathomechanisms of HD await further elucidation. One of the miRNAs that have been associated with HD is miR-34a-5p, which was deregulated in the mouse R6/2 model and in human HD brain tissues. Methods The aim of our study was to demonstrate interactions between miR-34a-5p and HD associated genes. By computational means we predicted 12 801 potential target genes of miR-34a-5p. An in-silico pathway analysis revealed 22 potential miR-34a-5p target genes in the KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway “Huntington’s disease”. Results Using our high-throughput miRNA interaction reporter assay (HiTmIR) we identified NDUFA9, TAF4B, NRF1, POLR2J2, DNALI1, HIP1, TGM2 and POLR2G as direct miR-34a-5p target genes. Direct binding of miR-34a-5p to target sites in the 3’UTRs of TAF4B, NDUFA9, HIP1 and NRF1 was verified by a mutagenesis HiTmIR assay and by determining endogenous protein levels for HIP1 and NDUFA9. STRING (Search Tool for the Retrieval of Interacting Genes/Proteins) analysis identified protein–protein interaction networks associated with HD like “Glutamine Receptor Signaling Pathway” and “Calcium Ion Transmembrane Import Into Cytosol”. Conclusion Our study demonstrates multiple interactions between miR-34a-5p and HD associated target genes and thereby lays the ground for future therapeutic interventions using this miRNA.

Among the concepts in biology that are widely taken granted is a potentiated cooperative effect of multiple miRNAs on the same target. This strong hypothesis contrasts insufficient experimental evidence. The quantity as well as the quality of required side constraints of cooperative binding remain largely hidden. For miR-21-5p and miR-155-5p, two commonly investigated regulators across diseases, we selected 15 joint target genes. These were chosen to represent various neighboring 3′UTR binding site constellations, partially exceeding the distance rules that have been established for over a decade. We identified different cooperative scenarios with the binding of one miRNA enhancing the binding effects of the other miRNA and vice versa. Using both, reporter assays and whole proteome analyses, we observed these cooperative miRNA effects for genes that bear 3′UTR binding sites at distances greater than the previously defined limits. Astonishingly, the experiments provide even stronger evidence for cooperative miRNA effects than originally postulated. In the light of these findings the definition of targetomes specified for single miRNAs need to be refined by a concept that acknowledges the cooperative effects of miRNAs.

Parkinson’s disease (PD) emerges as a complex, multifactorial disease. While there is increasing evidence that dysregulated T cells play a central role in PD pathogenesis, elucidation of the pathomechanical changes in related signaling is still in its beginnings. We employed time-resolved RNA expression upon the activation of peripheral CD4+ T cells to track and functionally relate changes on cellular signaling in representative cases of patients at different stages of PD. While only few miRNAs showed time-course related expression changes in PD, we identified groups of genes with significantly altered expression for each different time window. Towards a further understanding of the functional consequences, we highlighted pathways with decreased or increased activity in PD, including the most prominent altered IL-17 pathway. Flow cytometric analyses showed not only an increased prevalence of Th17 cells but also a specific subtype of IL-17 producing γδ-T cells, indicating a previously unknown role in PD pathogenesis.

Due to their connection to a great diversity of diseases and their prevalence in blood, microRNAs (miRNAs) are envisaged as biomarkers in liquid biopsy diagnostics. Utilizing dried blood spots (DBS) for the isolation of miRNAs greatly facilitates both the sample collection and the storage in comparison to liquid blood. MiRNAs isolated from DBS can be used for the analysis of individual miRNAs and for high-throughput analyses of the entire miRNome.

Gene amplification is an evolutionarily well-conserved and highly efficient mechanism to increase the amount of specific proteins. In humans, gene amplification is a hallmark of cancer and has recently been found during stem cell differentiation. Amplifications in stem cells are restricted to specific tissue areas and time windows, rendering their detection difficult. Here, we report on the performance of deep WGS sequencing (average 82-fold depth of coverage) on the BGISEQ with nanoball technology to detect amplifications in human mesenchymal and neural stem cells. As reference technology, we applied array-based comparative genomic hybridization (aCGH), fluorescence in situ hybridization (FISH), and qPCR. Using different in silico strategies for amplification detection, we analyzed the potential of WGS for amplification detection. Our results provide evidence that WGS accurately identifies changes of the copy number profiles in human stem cell differentiation. However, the identified changes are not in all cases consistent between WGS and aCGH. The results between WGS and the validation by qPCR were concordant in 83.3% of all tested 36 cases. In sum, both genome-wide techniques, aCGH and WGS, have unique advantages and specific challenges, calling for locus-specific confirmation by the low-throughput approaches qPCR or FISH. Key messages WGS allows for the identification of dynamic copy number changes in human stem cells.Less stringent threshold setting is crucial for detection of copy number increase.Broad knowledge of dynamic copy number is pivotal to estimate stem cell capabilities. Electronic supplementary material The online version of this article (10.1007/s00109-019-01792-y) contains supplementary material, which is available to authorized users.

Aging is a key risk factor for chronic diseases of the elderly. MicroRNAs regulate post-transcriptional gene silencing through base-pair binding on their target mRNAs. We identified nonlinear changes in age-related microRNAs by analyzing whole blood from 1334 healthy individuals. We observed a larger influence of the age as compared to the sex and provide evidence for a shift to the 5’ mature form of miRNAs in healthy aging. The addition of 3059 diseased patients uncovered pan-disease and disease-specific alterations in aging profiles. Disease biomarker sets for all diseases were different between young and old patients. Computational deconvolution of whole-blood miRNAs into blood cell types suggests that cell intrinsic gene expression changes may impart greater significance than cell abundance changes to the whole blood miRNA profile. Altogether, these data provide a foundation for understanding the relationship between healthy aging and disease, and for the development of age-specific disease biomarkers., Aging is a key risk factor for chronic diseases of the elderly. Here the authors perform large-scale miRNA profiling of blood from individuals of a range of ages and show that common diseases alter the physiological age-related blood microRNA profile.

Significant effort has been devoted to discovering microRNA (miRNA) disease biomarkers. In particular, miRNAs in whole blood or specific blood components are candidates for improving the diagnosis of diseases, including life-threatening pathologies. This review covers the challenges crucial for the translation of miRNAs in body fluids (circulating miRNAs) from a research setting into a clinical care scenario. First, we discuss the specificity of miRNA biomarkers for the diagnosis of a disease. While single miRNAs such as miR-20a, miR-21, miR-155, and miR-126 are frequently not disease specific, miRNA signatures that consist of a plurality of different miRNAs may help to improve differentiation between pathologies. Second, we discuss the degree of reproducibility and highlight selected validation studies. While single miRNA markers are often confirmed by independent studies, miRNA signatures are less frequently verified. Third, we address challenges to the profiling of miRNAs in high-throughput settings and we discuss the appropriateness of various analytical platforms and bioinformatics towards a clinical application of miRNAs. Finally, we shed light on the suitability of enriched miRNA sources, e.g. fractionation of body fluids for extracellular vesicles such as exosomes or blood cells, to develop miRNA signatures. With an increasing number of verified miRNA signatures and with the advance of matured medium-throughput approaches in clinical settings, specific miRNA markers are increasingly likely to contribute to human healthcare.

Since the benefit of prostate-specific antigen (PSA) screening remains controversial, new non-invasive biomarkers for prostate carcinoma (PCa) are still required. There is evidence that microRNAs (miRNAs) in whole peripheral blood can separate patients with localized prostate cancer from healthy individuals. However, the potential of blood-based miRNAs for the differential diagnosis of PCa and benign prostatic hyperplasia (BPH) has not been tested. We compared the miRNome from blood of PCa and BPH patients and further investigated the influence of the tumor volume, tumor-node-metastasis (TNM) classification, Gleason score, pretreatment risk status, and the pretreatment PSA value on the miRNA pattern. By microarray approach, we identified seven miRNAs that were significantly deregulated in PCa patients compared to BPH patients. Using quantitative real time PCR (qRT-PCR), we confirmed downregulation of hsa-miR-221* (now hsa-miR-221-5p) and hsa-miR-708* (now hsa-miR-708-3p) in PCa compared to BPH. Clinical parameters like PSA level, Gleason score, or TNM status seem to have only limited impact on the overall abundance of miRNAs in patients' blood, suggesting a no influence of these factors on the expression of deregulated miRNAs.

Non-coding RNAs (ncRNA) are regulators of cell functions and circulating ncRNAs from the majority of RNA classes, such as miRNA, tRNA, piRNAs, lncRNA, snoRNA, snRNA and miscRNAs, are potential non-invasive biomarkers. Understanding how non-disease traits influence ncRNA expression is essential for assessing their biomarker potential.We studied associations of common traits (sex, age, smoking, body mass, physical activity, and technical factors such as sample storage and processing) with serum ncRNAs. We used RNAseq data from 526 donors from the Janus Serum Bank and traits from health examination surveys. We identified associations between all RNA classes and traits. Ageing showed the strongest association with ncRNA expression, both in terms of statistical significance and number of RNAs, regardless of RNA class. Serum processing modifications and storage times significantly altered expression levels of a number of ncRNAs. Interestingly, smoking cessation generally restored RNA expression to non-smoking levels, although for some isomiRs, mRNA fragments and tRNAs smoking-related expression levels persisted.Our results show that common traits influence circulating ncRNA expression. Therefore it is clear that ncRNA biomarker analyses should be adjusted for age and sex. In addition, for specific ncRNAs identified in our study, analyses should also be adjusted for body mass, smoking, physical activity and serum processing and storage.

Breast cancer is a heterogeneous disease with distinct molecular subtypes including the aggressive subtype triple-negative breast cancer (TNBC). We compared blood-borne miRNA signatures of early-stage basal-like (cytokeratin-CK5-positive) TNBC patients to age-matched controls. The miRNAs of TNBC patients were assessed prior to and following platinum-based neoadjuvant chemotherapy (NCT). After an exploratory genome-wide study on 21 cases and 21 controls using microarrays, the identified signatures were verified independently in two laboratories on the same and a new cohort by RT-qPCR. We differentiated the blood of TNBC patients before NCT from controls with 84% sensitivity. The most significant miRNA for this diagnostic classification was miR-126-5p (two tailed t-test p-value of 1.4 × 10−5). Validation confirmed the microarray results for all tested miRNAs. Comparing cancer patients prior to and post NCT highlighted 321 significant miRNAs (among them miR-34a, p-value of 1.2 × 10−23). Our results also suggest that changes in miRNA expression during NCT may have predictive potential to predict pathological complete response (pCR). In conclusion we report that miRNA expression measured from blood facilitates early and minimally-invasive diagnosis of basal-like TNBC. We also demonstrate that NCT has a significant influence on miRNA expression. Finally, we show that blood-borne miRNA profiles monitored over time have potential to predict pCR.

Head and neck squamous cell carcinoma (HNSCC) is one of the most common malignancies worldwide with an unchanged 5-year survival rate during the last decade. To detect reliable prognostic markers and improve patients’ outcome in future, the aim of our study was to detect differences in microRNA (miRNA; miR) expression profile and further on to analyze the functional role of selected miRNAs. Blood samples from HNSCC patients and sex- and age-matched healthy volunteers were analyzed by microarrays and validated by quantitative real-time PCR. Data were compared with tumor tissue results and all findings were correlated with clinical parameters. Additionally, the proliferation and migration potential of two cell lines transfected with miRNA mimics and inhibitors for miR-146a and miR-155 were examined. Initial analysis of blood samples showed no significant differences between the miRNA profile of HNSCC patients and healthy controls (p > 0.05). Interestingly, down-regulation of miR-146a and miR-155 in blood of patients correlated with the occurrence of distant metastasis regarding tumor patients only (p = 0.023 and p = 0.028, respectively). Additionally, our investigations in tissue samples revealed a lower expression of miR-155 in tumor cells (p = 0.003) and a correlation with higher cT-classification for down-regulation of miR-146a (p = 0.005). Moreover, functional assays demonstrated that inhibition of miR-146a and miR-155 promoted dramatically proliferation and migration potential, whereas transfection of both mimics had an inhibitory effect. Characterizing the expression of miR-146a and miR-155 and their functional role in tumor biology underlined significantly their proliferation and migration potential suggesting relevance as potential prognostic markers in HNSCC.

MicroRNAs (miRNAs) are class of small RNA molecules with major impact on gene regulation. We analyzed the potential of miRNAs secreted from pre-implantation embryos into the embryonic culture media as biomarkers to predict successful pregnancy. Using microarray analysis, we profiled the miRNome of the 56 spent culture media (SCM) after embryos transfer and found a total of 621 miRNAs in the SCM. On average, we detected 163 miRNAs in SCM of samples with failed pregnancies, but only 149 SCM miRNAs of embryos leading to pregnancies. MiR-634 predicted an embryo transfer leading to a positive pregnancy with an accuracy of 71% and a sensitivity of 85%. Among the 621 miRNAs, 102 (16.4%) showed a differential expression between positive and negative outcome of pregnancy with miR-29c-3p as the most significantly differentially expressed miRNA. The number of extracellular vehicles was lower in SCM with positive outcomes (3.8 × 109/mL EVs), as compared to a negative outcome (7.35 × 109/mL EVs) possibly explaining the reduced number of miRNAs in the SCM associated with failed pregnancies. The analysis of the miRNome in the SCM of couples undergoing fertility treatment lays the ground towards development of biomarkers to predict successful pregnancy and towards understanding the role of embryonic miRNAs found in the SCM.

Although microRNAs are supposed to be stable in-vivo, degradation processes potentially blur our knowledge on the small oligonucleotides. We set to quantify the effect of degradation on microRNAs in mouse to identify causes for distorted microRNAs patterns. In liver, we found 298, 99 and 8 microRNAs whose expression significantly correlated to RNA integrity, storage time at room temperature and storage time at 4 °C, respectively. Expression levels of 226 microRNAs significantly differed between liver samples with high RNA integrity compared to liver samples with low RNA integrity by more than two-fold. Especially the 157 microRNAs with increased expression in tissue samples with low RNA integrity were most recently added to miRBase. Testing potentially confounding sources, e.g. in-vitro degraded RNA depleted of small RNAs, we detected signals for 350 microRNAs, suggesting cross-hybridization of fragmented RNAs. Therefore, we conclude that especially microRNAs added in the latest miRBase versions might be artefacts due to RNA degradation. The results facilitate differentiation between degradation-resilient microRNAs, degradation-sensitive microRNAs, and likely erroneously annotated microRNAs. The latter were largely identified by NGS but not experimentally validated and can severely bias microRNA biomarker research and impact the value of microRNAs as diagnostic, prognostic or therapeutic tools.

Background MicroRNAs (miRNAs) are a class of regulatory RNAs that regulate gene expression post-transcriptionally. Little, however, is known on the expression profile of circulating miRNAs in Tetralogy of Fallot (TOF) patients late after surgical repair. In this study, we aimed to identify the specific patterns of circulating miRNAs in blood of patients with repaired, non-syndromic TOF and to assess whether these specific miRNAs may be useful to differentiate patients with and without heart failure. Methods SurePrint™ 8 × 60 K Human v16 miRNA arrays were used to determine miRNA expression profiles in 15 healthy controls and 37 patients after TOF repair of whom 3 had symptomatic right heart failure. The expression levels of selected miRNAs have been validated by quantitative reverse transcription polymerase chain reaction (RT-qPCR). Enrichment analyses of altered miRNA expression were predicted using bioinformatic tools. Results Compared with healthy controls, a total of 49, 58 and 77 miRNAs were found to be significantly altered in TOF patients (TOF-all), TOF patients with (TOF-HF) and without symptomatic right heart failure (TOF-noHF) (>2.0-fold change, adjusted P

The Tyrolean Iceman, a Copper-age ice mummy, is one of the best-studied human individuals. While the genome of the Iceman has largely been decoded, tissue-specific proteomes have not yet been investigated. We studied the proteome of two distinct brain samples using gel-based and liquid chromatography-mass spectrometry-based proteomics technologies together with a multiple-databases and -search algorithms-driven data-analysis approach. Thereby, we identified a total of 502 different proteins. Of these, 41 proteins are known to be highly abundant in brain tissue and 9 are even specifically expressed in the brain. Furthermore, we found 10 proteins related to blood and coagulation. An enrichment analysis revealed a significant accumulation of proteins related to stress response and wound healing. Together with atomic force microscope scans, indicating clustered blood cells, our data reopens former discussions about a possible injury of the Iceman's head near the site where the tissue samples have been extracted.

Erratum to: J Transl Med (2016) 14:219 DOI 10.1186/s12967-016-0974-x Unfortunately, the original version of this article [1] contained an error. The name of the author [Farbod Sedaghat] was incorrect, the author's surname should be Sedaghat-Hamedani. The author's name is Farbod Sedaghat-Hamedani.

Meningiomas are frequent, mostly benign intracranial or spinal tumors. A small subset of meningiomas is characterized by histological features of atypia or anaplasia that are associated with more aggressive biological behavior resulting in increased morbidity and mortality. Infiltration into the adjacent brain tissue is a major factor linked to higher recurrence rates. The molecular mechanisms of progression, including brain invasion are still poorly understood. We have studied the role of micro-RNA 145 (miR-145) in meningiomas and detected significantly reduced miR-145 expression in atypical and anaplastic tumors as compared with benign meningiomas. Overexpression of miR-145 in IOMM-Lee meningioma cells resulted in reduced proliferation, increased sensitivity to apoptosis, reduced anchorage-independent growth and reduction of orthotopic tumor growth in nude mice as compared with control cells. Moreover, meningioma cells with high miR-145 levels had impaired migratory and invasive potential in vitro and in vivo. PCR-array studies of miR145-overexpressing cells suggested that collagen type V alpha (COL5A1) expression is downregulated by miR-145 overexpression. Accordingly, COL5A1 expression was significantly upregulated in atypical and anaplastic meningiomas. Collectively, our data indicate an important anti-migratory and anti-proliferative function of miR-145 in meningiomas.

A class of small, non-coding ribonucleic acids, termed microRNA (miRNA), has recently emerged as a new key player in the cellular control of gene expression. By either blocking translation or inducing target mRNA degradation, miRNA not only participates in regular biological processes within cells and tissues but is also involved in pathological processes. Many human malignancies have been linked to specific miRNA expression patterns, raising hopes for new approaches to therapy. While such human disease-related mechanisms have been widely discussed and frequently reviewed, miRNA's general significance in animals has been less in editorial focus, despite its obvious role in basic physiological processes, e.g. neurosensory maturation, development of fertility, and hibernation. Using selected examples, this review highlights our current knowledge of miRNA's potential and its promise as a new tool for gene regulation.

MicroRNAs (miRNAs) are important regulators of adaptive and maladaptive responses in cardiovascular diseases and hence are considered to be potential therapeutical targets. However, their role as novel biomarkers for the diagnosis of cardiovascular diseases still needs to be systematically evaluated. We assessed here for the first time whole-genome miRNA expression in peripheral total blood samples of patients with acute myocardial infarction (AMI). We identified 121 miRNAs, which are significantly dysregulated in AMI patients in comparison to healthy controls. Among these, miR-1291 and miR-663b show the highest sensitivity and specificity for the discrimination of cases from controls. Using a novel self-learning pattern recognition algorithm, we identified a unique signature of 20 miRNAs that predicts AMI with even higher power (specificity 96%, sensitivity 90%, and accuracy 93%). In addition, we show that miR-30c and miR-145 levels correlate with infarct sizes estimated by Troponin T release. The here presented study shows that single miRNAs and especially miRNA signatures derived from peripheral blood, could be valuable novel biomarkers for cardiovascular diseases.

Despite the progress in cancer diagnosis the timely detection of many cancer types is still a grand challenge. For various human cancer types including lung cancer, prostate cancer, and breast cancer, several groups recently demonstrated that autoantibody profiling might be a promising approach towards earlier and more accurate cancer diagnosis. In this paper, we confirm the ability of autoantibody profiling as a diagnostic test by providing evidence that not only cancer sera can be distinguished well from normal controls, but also from sera of patients with noncancerous diseases. Altogether, we screened blood sera of 191 cancer patients, 60 physiologically unaffected controls, and 177 sera of patients with noncancerous diseases for more than 1800 immunogenic clones. The measured autoantibody fingerprints were evaluated using a novel image analysis pipeline. For 13 antigens, statistically significant (p

Glioblastoma is the most frequent primary brain tumor in adults. The average survival time of less than 1 year did not improve notably over the last three decades. The dismal prognosis of glioblastoma patients is largely due to the striking radioresistance of this tumor. Here, we attempt a combined view on the genetics, the repair mechanisms and the radioresistance of glioblastoma. Specifically, we address the role of DNA-PKcs and the novel potential end-joining factor KUB3 in maintaining the radioresistant phenotype, the interrelationship between genetic lesions and repair mechanisms, and new perspectives that emerge from the identification of glioblastoma stem cells.

Various retroviruses have been shown to encode dUTPase. The overall phylogeny of dUTPase is unclear, though. The human genome contains a significant amount of human endogenous retroviruses (HERV) representing fossilized sequences of ancient exogenous retroviruses. A few HERV families have been reported to harbor dUTPase domains. We surveyed the various HERV families for the presence of dUTPase and found that ancestors of all HERV-K families but one encoded dUTPase. With two exceptions phylogenetic analysis shows a monophyletic origin of dUTPase for the different HERV-K dUTPases. Sequences of consensus dUTPase domains suggest that the various exogenous ancestors of HERV-K once encoded active enzymes. Our analysis provides informations on dUTPase phylogeny and further shows that endogenous retroviruses provide important informations regarding retrovirus evolution.

Glioblastoma multiforme (GBM), a malignant astrocytic tumour, represents the most frequent tumour of the human brain. Nevertheless, its molecular pathology is not well understood. We utilized the immune system, which contributes to cancer protection, to help identify new GBM-related genes. By screening a human GBM cDNA library with autologous patient serum (SEREX-approach), we isolated a gene termed PHF3 (PHD finger protein 3). The gene product of PHF3 is immunogenic in GBM as tested in an allogenic patient serum screening demonstrating antibodies in 24 of 39 (61.53%) sera, whereas none of the 14 healthy persons had antibodies against PHF3. While previous SEREX studies revealed allogenic antibody responses up to 40%, our results for PHF3 represent the highest reported rate for a specific antibody response. We show that GBM patients with an antibody response against PHF3 show significant better survival than patients without PHF3-specific antibodies. Because the amino acid sequence of PHF3 contains a PHD finger (also termed LAP motif), a TFIIS homology, a proline rich region and nuclear localization signals, it supposedly functions as a transcription factor. A polyclonal antibody generated against PHF3 shows nuclear expression in most investigated formalin-fixed, paraffin embedded tissues. In GBM, PHF3 expression is concentrated in cells surrounding necroses.

We have employed a pulsed field gel electrophoresis and Alu hybridization approach for identification of large restriction fragments on chromosome 6 and 22. This technique allows large portions of selected human chromosomes to be visualized as discrete hybridization signals. Somatic cell hybrid DNA which contains chromosome 6 or chromosome 22 was restricted with either Notl or Mlul. The restriction fragments were separated by pulsed field gel electrophoresis (PFGE) and hybridized against an Alu repetitive sequence (Blur 8). The hybridization signals result in a fingerprint-like pattern which is unique for each chromosome and each restriction enzyme. In addition, a continuous pattern of restriction fragments was demonstrated by gradually increasing puls times. This approach will also be suitable to analyze aberrant human chromosomes retained in somatic cell hybrids and can be used to analyze flow sorted human chromosomes. To this end, our method provides a valuable alternative to standard cytogenetic analysis.

DNA amplification is known to occur in approximately 50% of glioblastomas, with the epidermal growth factor receptor (EGFR) gene being the most frequently amplified. Whereas previous amplification studies have largely been limited to the analysis of known tumor-related genes, reverse chromosome painting allows us to search for as yet unidentified amplified domains. Here, we report the analysis of a glioblastoma multiforme by reverse chromosome painting. Hybridization signals were found on chromosome 7p12-13 and chromosome 9q12-13. Standard Southern blot analysis revealed amplification of the EGFR gene, which is localized on band 7p13. These findings corroborate previous reports on coamplification of sequences on different chromosomes in glioblastoma.

Background The simplicity and potential of minimal invasive testing using serum from patients make auto-antibody based biomarkers a very promising tool for use in diagnostics of cancer and auto-immune disease. Although several methods exist for elucidating candidate-protein markers, immobilizing these onto membranes and generating so called macroarrays is of limited use for marker validation. Especially when several hundred samples have to be analysed, microarrays could serve as a good alternative since processing macro membranes is cumbersome and reproducibility of results is moderate. Methods Candidate markers identified by SEREX (serological identification of antigens by recombinant expression cloning) screenings of brain and lung tumour were used for macroarray and microarray production. For microarray production recombinant proteins were expressed in E. coli by autoinduction and purified His-tag (histidine-tagged) proteins were then used for the production of protein microarrays. Protein arrays were hybridized with the serum samples from brain and lung tumour patients. Result Methods for the generation of microarrays were successfully established when using antigens derived from membrane-based selection. Signal patterns obtained by microarrays analysis of brain and lung tumour patients' sera were highly reproducible (R = 0.92-0.96). This provides the technical foundation for diagnostic applications on the basis of auto-antibody patterns. In this limited test set, the assay provided high reproducibility and a broad dynamic range to classify all brain and lung samples correctly. Conclusion Protein microarray is an efficient means for auto-antibody-based detection when using SEREX-derived clones expressing antigenic proteins. Protein microarrays are preferred to macroarrays due to the easier handling and the high reproducibility of auto-antibody testing. Especially when using only a few microliters of patient samples protein microarrays are ideally suited for validation of auto-antibody signatures for diagnostic purposes.

Background Early onset lung cancer shows some familial aggregation, pointing to a genetic predisposition. This study was set up to investigate the role of candidate genes in the susceptibility to lung cancer patients younger than 51 years at diagnosis. Methods 246 patients with a primary, histologically or cytologically confirmed neoplasm, recruited from 2000 to 2003 in major lung clinics across Germany, were matched to 223 unrelated healthy controls. 11 single nucleotide polymorphisms of genes with reported associations to lung cancer have been genotyped. Results Genetic associations or gene-smoking interactions was found for GPX1(Pro200Leu) and EPHX1(His113Tyr). Carriers of the Leu-allele of GPX1(Pro200Leu) showed a significant risk reduction of OR = 0.6 (95% CI: 0.4–0.8, p = 0.002) in general and of OR = 0.3 (95% CI:0.1–0.8, p = 0.012) within heavy smokers. We could also find a risk decreasing genetic effect for His-carriers of EPHX1(His113Tyr) for moderate smokers (OR = 0.2, 95% CI:0.1–0.7, p = 0.012). Considered both variants together, a monotone decrease of the OR was found for smokers (OR of 0.20; 95% CI: 0.07–0.60) for each protective allele. Conclusion Smoking is the most important risk factor for young lung cancer patients. However, this study provides some support for the T-Allel of GPX1(Pro200Leu) and the C-Allele of EPHX1(His113Tyr) to play a protective role in early onset lung cancer susceptibility.

Background The human genome comprises numerous human endogenous retroviruses (HERVs) that formed millions of years ago in ancestral species. A number of loci of the HERV-K(HML-2) family are evolutionarily much younger. A recent study suggested an infectious HERV-K(HML-2) variant in humans and other primates. Isolating such a variant from human individuals would be a significant finding for human biology. Results When investigating expression patterns of specific HML-2 proviruses we encountered HERV-K(HML-2) cDNA sequences without proviral homologues in the human genome, named HERV-KX, that could very well support recently suggested infectious HML-2 variants. However, detailed sequence analysis, using the software RECCO, suggested that HERV-KX sequences were produced by recombination, possibly arising ex vivo, between transcripts from different HML-2 proviral loci. Conclusion As RT-PCR probably will be instrumental for isolating an infectious HERV-K(HML-2) variant, generation of "new" HERV-K(HML-2) sequences by ex vivo recombination seems inevitable. Further complicated by an unknown amount of allelic sequence variation in HERV-K(HML-2) proviruses, newly identified HERV-K(HML-2) variants should be interpreted very cautiously.

BackgroundThe development of effective frameworks that permit an accurate diagnosis of tumors, especially in their early stages, remains a grand challenge in the field of bioinformatics. Our approach uses statistical learning techniques applied to multiple antigen tumor antigen markers utilizing the immune system as a very sensitive marker of molecular pathological processes. For validation purposes we choose the intracranial meningioma tumors as model system since they occur very frequently, are mostly benign, and are genetically stable.ResultsA total of 183 blood samples from 93 meningioma patients (WHO stages I-III) and 90 healthy controls were screened for seroreactivity with a set of 57 meningioma-associated antigens. We tested several established statistical learning methods on the resulting reactivity patterns using 10-fold cross validation. The best performance was achieved by Naïve Bayes Classifiers. With this classification method, our framework, called Minimally Invasive Multiple Marker (MIMM) approach, yielded a specificity of 96.2%, a sensitivity of 84.5%, and an accuracy of 90.3%, the respective area under the ROC curve was 0.957. Detailed analysis revealed that prediction performs particularly well on low-grade (WHO I) tumors, consistent with our goal of early stage tumor detection. For these tumors the best classification result with a specificity of 97.5%, a sensitivity of 91.3%, an accuracy of 95.6%, and an area under the ROC curve of 0.971 was achieved using a set of 12 antigen markers only. This antigen set was detected by a subset selection method based on Mutual Information. Remarkably, our study proves that the inclusion of non-specific antigens, detected not only in tumor but also in normal sera, increases the performance significantly, since non-specific antigens contribute additional diagnostic information.ConclusionOur approach offers the possibility to screen members of risk groups as a matter of routine such that tumors hopefully can be diagnosed immediately after their genesis. The early detection will finally result in a higher cure- and lower morbidity-rate.

To identify genes relevant in the development and progression of larynx and pharynx carcinoma, we investigated samples derived from the transition zone between normal tissue and tumor. For larynx and pharynx carcinoma this transition zone offers an ideal starting point to identify genes involved in early tumor development. Using microarray expression analysis we found overexpression of a group of genes, including the gene for PA-FABP. Overexpression of PA-FABP in the transition zone was confirmed by northern blot hybridization using RNA from normal tissue as control. Northern blot expression analysis also revealed overexpression of PA-FABP in the corresponding tumor samples. A second group of genes was predominantly overexpressed in the transition zone from larynx carcinoma to normal tissue, whereas no overexpression was detectable in the transition zone from pharynx carcinoma to normal tissue and in all corresponding tumor samples. These genes may be relevant in the early development of larynx carcinoma and may serve as a valuable diagnostic marker.

A convenient modification of the step gradient (CsCl/ethidium bomide) procedure is described. This rapid method allows isolation of covalently closed circular DNA separated from contaminating proteins, RNA and chromosomal DNA in ca. 5 h. Large scale preparations can be performed for circular DNA from eukaryotic organelles (mitochondria). The protocol uses organelle pelleting/NaCl-sarcosyl incubation steps for mitochondria followed by a CsCl step gradient and exhibits yields equal to the conventional procedures. It results in DNA sufficiently pure to be used for restriction endonuclease analysis, subcloning, 5'-end labeling, gel retention assays, and various types of hybridization.