Martin Kerick

Identity-by-descent filtering of exome sequence data identifies PIGV mutations in hyperphosphatasia mental retardation syndrome

Hyperphosphatasia mental retardation (HPMR) syndrome is an autosomal recessive form of mental retardation with distinct facial features and elevated serum alkaline phosphatase. We performed whole-exome sequencing in three siblings of a nonconsanguineous union with HPMR and performed computational inference of regions identical by descent in all siblings to establish PIGV, encoding a member of the GPI-anchor biosynthesis pathway, as the gene mutated in HPMR. We identified homozygous or compound heterozygous mutations in PIGV in three additional families.

Genome-Wide Massively Parallel Sequencing of Formaldehyde Fixed-Paraffin Embedded (FFPE) Tumor Tissues for Copy-Number- and Mutation-Analysis

Background Cancer re-sequencing programs rely on DNA isolated from fresh snap frozen tissues, the preparation of which is combined with additional preservation efforts. Tissue samples at pathology departments are routinely stored as formalin-fixed and paraffin-embedded (FFPE) samples and their use would open up access to a variety of clinical trials. However, FFPE preparation is incompatible with many down-stream molecular biology techniques such as PCR based amplification methods and gene expression studies. Methodology/Principal Findings Here we investigated the sample quality requirements of FFPE tissues for massively parallel short-read sequencing approaches. We evaluated key variables of pre-fixation, fixation related and post-fixation processes that occur in routine medical service (e.g. degree of autolysis, duration of fixation and of storage). We also investigated the influence of tissue storage time on sequencing quality by using material that was up to 18 years old. Finally, we analyzed normal and tumor breast tissues using the Sequencing by Synthesis technique (Illumina Genome Analyzer, Solexa) to simultaneously localize genome-wide copy number alterations and to detect genomic variations such as substitutions and point-deletions and/or insertions in FFPE tissue samples. Conclusions/Significance The application of second generation sequencing techniques on small amounts of FFPE material opens up the possibility to analyze tissue samples which have been collected during routine clinical work as well as in the context of clinical trials. This is in particular important since FFPE samples are amply available from surgical tumor resections and histopathological diagnosis, and comprise tissue from precursor lesions, primary tumors, lymphogenic and/or hematogenic metastases. Large-scale studies using this tissue material will result in a better prediction of the prognosis of cancer patients and the early identification of patients which will respond to therapy.

Somatic mutation profiles of MSI and MSS colorectal cancer identified by whole exome next generation sequencing and bioinformatics analysis

Background Colorectal cancer (CRC) is with approximately 1 million cases the third most common cancer worldwide. Extensive research is ongoing to decipher the underlying genetic patterns with the hope to improve early cancer diagnosis and treatment. In this direction, the recent progress in next generation sequencing technologies has revolutionized the field of cancer genomics. However, one caveat of these studies remains the large amount of genetic variations identified and their interpretation. Methodology/Principal Findings Here we present the first work on whole exome NGS of primary colon cancers. We performed 454 whole exome pyrosequencing of tumor as well as adjacent not affected normal colonic tissue from microsatellite stable (MSS) and microsatellite instable (MSI) colon cancer patients and identified more than 50,000 small nucleotide variations for each tissue. According to predictions based on MSS and MSI pathomechanisms we identified eight times more somatic non-synonymous variations in MSI cancers than in MSS and we were able to reproduce the result in four additional CRCs. Our bioinformatics filtering approach narrowed down the rate of most significant mutations to 359 for MSI and 45 for MSS CRCs with predicted altered protein functions. In both CRCs, MSI and MSS, we found somatic mutations in the intracellular kinase domain of bone morphogenetic protein receptor 1A, BMPR1A, a gene where so far germline mutations are associated with juvenile polyposis syndrome, and show that the mutations functionally impair the protein function. Conclusions/Significance We conclude that with deep sequencing of tumor exomes one may be able to predict the microsatellite status of CRC and in addition identify potentially clinically relevant mutations.

Targeted high throughput sequencing in clinical cancer Settings: formaldehyde fixed-paraffin embedded (FFPE) tumor tissues, input amount and tumor heterogeneity

BackgroundMassively parallel sequencing technologies have brought an enormous increase in sequencing throughput. However, these technologies need to be further improved with regard to reproducibility and applicability to clinical samples and settings.MethodsUsing identification of genetic variations in prostate cancer as an example we address three crucial challenges in the field of targeted re-sequencing: Small nucleotide variation (SNV) detection in samples of formalin-fixed paraffin embedded (FFPE) tissue material, minimal amount of input sample and sampling in view of tissue heterogeneity.ResultsWe show that FFPE tissue material can supplement for fresh frozen tissues for the detection of SNVs and that solution-based enrichment experiments can be accomplished with small amounts of DNA with only minimal effects on enrichment uniformity and data variance.Finally, we address the question whether the heterogeneity of a tumor is reflected by different genetic alterations, e.g. different foci of a tumor display different genomic patterns. We show that the tumor heterogeneity plays an important role for the detection of copy number variations.ConclusionsThe application of high throughput sequencing technologies in cancer genomics opens up a new dimension for the identification of disease mechanisms. In particular the ability to use small amounts of FFPE samples available from surgical tumor resections and histopathological examinations facilitates the collection of precious tissue materials. However, care needs to be taken in regard to the locations of the biopsies, which can have an influence on the prediction of copy number variations. Bearing these technological challenges in mind will significantly improve many large-scale sequencing studies and will - in the long term - result in a more reliable prediction of individual cancer therapies.

Genome-wide DNA Methylation Events in TMPRSS2–ERG Fusion-Negative Prostate Cancers Implicate an EZH2-Dependent Mechanism with miR-26a Hypermethylation

UNLABELLED Prostate cancer is the second most common cancer among men worldwide. Alterations in the DNA methylation pattern can be one of the leading causes for prostate cancer formation. This study is the first high-throughput sequencing study investigating genome-wide DNA methylation patterns in a large cohort of 51 tumor and 53 benign prostate samples using methylated DNA immunoprecipitation sequencing. Comparative analyses identified more than 147,000 cancer-associated epigenetic alterations. In addition, global methylation patterns show significant differences based on the TMPRSS2-ERG rearrangement status. We propose the hypermethylation of miR-26a as an alternative pathway of ERG rearrangement-independent EZH2 activation. The observed increase in differential methylation events in fusion-negative tumors can explain the tumorigenic process in the absence of genomic rearrangements. SIGNIFICANCE In contrast to TMPRSS2-ERG -rearranged tumors, the pathomechanism for gene fusion-negative tumors is completely unclear. Using a sequencing-based approach, our work uncovers significant global epigenetic alterations in TMPRSS2-ERG gene fusion-negative tumors and provides a mechanistic explanation for the tumor formation process.

The Pentose Phosphate Pathway Is a Metabolic Redox Sensor and Regulates Transcription During the Antioxidant Response

AIMS A shift in primary carbon metabolism is the fastest response to oxidative stress. Induced within seconds, it precedes transcriptional regulation, and produces reducing equivalents in form of NADPH within the pentose phosphate pathway (PPP). RESULTS Here, we provide evidence for a regulatory signaling function of this metabolic transition in yeast. Several PPP-deficiencies caused abnormal accumulation of intermediate metabolites during the stress response. These PPP-deficient strains had strong growth deficits on media containing oxidants, but we observed that part of their oxidant-phenotypes were not attributable to the production of NADPH equivalents. This pointed to a second, yet unknown role of the PPP in the antioxidant response. Comparing transcriptome profiles obtained by RNA sequencing, we found gene expression profiles that resembled oxidative conditions when PPP activity was increased. Vice versa, deletion of PPP enzymes disturbed and delayed mRNA and protein expression during the antioxidant response. INNOVATION Thus, the transient activation of the PPP is a metabolic signal required for balancing and timing gene expression upon an oxidative burst. CONCLUSION Consequently, dynamic rearrangements in central carbon metabolism seem to be of major importance for eukaryotic redox sensing, and represent a novel class of dynamic gene expression regulators.

The power of NGS technologies to delineate the genome organization in cancer: from mutations to structural variations and epigenetic alterations.

The development of cancer is characterized by the joined occurrence of alterations on different levels—from single nucleotide changes via structural and copy number variations to epigenetic alterations. With the advent of advanced technologies such as next generation sequencing, we have now the tools in hands to put some light on complex processes and recognize systematic patterns that develop throughout cancer progression. The combination of single hypothesis-driven experiments with a system-wide genetic view enables us to prove so far not addressable questions such as the influence of DNA methylation on gene expression or the disruption of genome homeostasis by structural variations and miRNA expression patterns. Out of this enormous amount of information, specific biomarkers for cancer progression have been discovered, which pave the way for the development of new therapeutic strategies. Here, we will review the status quo of integrative cancer genomic approaches, give an overview over the power of next generation sequencing technologies in oncology, and outline future perspective. Both sides—clinical as well as basic research aspects—will be considered.

High-Throughput miRNA and mRNA Sequencing of Paired Colorectal Normal, Tumor and Metastasis Tissues and Bioinformatic Modeling of miRNA-1 Therapeutic Applications

MiRNAs are discussed as diagnostic and therapeutic molecules. However, effective miRNA drug treatments with miRNAs are, so far, hampered by the complexity of the miRNA networks. To identify potential miRNA drugs in colorectal cancer, we profiled miRNA and mRNA expression in matching normal, tumor and metastasis tissues of eight patients by Illumina sequencing. We validated six miRNAs in a large tissue screen containing 16 additional tumor entities and identified miRNA-1, miRNA-129, miRNA-497 and miRNA-215 as constantly de-regulated within the majority of cancers. Of these, we investigated miRNA-1 as representative in a systems-biology simulation of cellular cancer models implemented in PyBioS and assessed the effects of depletion as well as overexpression in terms of miRNA-1 as a potential treatment option. In this system, miRNA-1 treatment reverted the disease phenotype with different effectiveness among the patients. Scoring the gene expression changes obtained through mRNA-Seq from the same patients we show that the combination of deep sequencing and systems biological modeling can help to identify patient-specific responses to miRNA treatments. We present this data as guideline for future pre-clinical assessments of new and personalized therapeutic options.

The bromodomain protein BRD4 regulates the KEAP1/NRF2-dependent oxidative stress response

The epigenetic sensor BRD4 (bromodomain protein 4) is a potent target for anti-cancer therapies. To study the transcriptional impact of BRD4 in cancer, we generated an expression signature of BRD4 knockdown cells and found oxidative stress response genes significantly enriched. We integrated the RNA-Seq results with DNA-binding sites of BRD4 generated by chromatin immunoprecipitations, correlated these with gene expressions from human prostate cancers and identified 21 top BRD4 candidate genes among which the oxidative stress pathway genes KEAP1, SESN3 and HDAC6 are represented. Knock down of BRD4 or treatment with the BRD4 inhibitor JQ1 resulted in decreased reactive oxygen species (ROS) production and increased cell viability under H2O2 exposure. Consistently, a deregulation of BRD4 diminished the KEAP1/NRF2 axis and led to a disturbed regulation of the inducible heme oxygenase 1 (HMOX1). Without exogenous stress induction, we also found BRD4 directly targeting the HMOX1 promoter over the SP1-binding sites. Our findings provide insight into the transcriptional regulatory network of BRD4 and highlight BRD4 as signal transducer of the cellular response to oxidative stress.

Anterior gradient 2 and 3 – two prototype androgen‐responsive genes transcriptionally upregulated by androgens and by oestrogens in prostate cancer cells

Androgens and oestrogens have been implicated in prostatic carcinogenesis and tumour progression. Although the actions of androgens have been studied extensively, the mechanisms underlying oestrogen signalling in prostate cancer are not fully understood. In the present study, we analyzed the effect of androgens and oestrogens on the expression of anterior gradient 2 (AGR2) and anterior gradient 3 (AGR3), comprising two highly‐related genes encoding secretory proteins that are expressed in prostate cancer and one of which (AGR2) has been associated with tumour metastasis. Quantitative reverse‐transcriptase PCR and western blot analysis showed androgen induction of AGR2 and AGR3 in three androgen receptor positive cell lines, starting at concentrations of 0.1 nm. Both AGR genes were also transcriptionally activated by ≥ 5 nm oestradiol but not by isotype selective or nonselective oestrogen receptor agonists in DUCaP cells that harbour a high‐level of wild‐type androgen receptor. A functional androgen receptor but not oestrogen receptor turned out to be required for both androgen and oestrogen regulation. This pattern of androgen and oestrogen regulation was confirmed in VCaP cells and was also observed for FKBP5, a well‐characterized androgen‐regulated gene. Genome‐wide chromatin‐immunoprecipitation studies coupled with deep sequencing identified androgen receptor binding sites localized in the distal promoter and intron regions of the AGR2 and AGR3 genes, respectively. The androgen responsiveness of these enhancers was verified by luciferase reporter gene assays and site‐directed mutagenesis analysis. Androgen treatment also induced p300 and RNA Pol II recruitment to androgen receptor enhancers of AGR2 and initiated local chromatin remodelling and the formation of RNA Pol II‐containing androgen receptor transcription complexes.