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The American Women's Health Initiative study published in July 2002 caused considerable concern among hormone replacement therapy (HRT) users and prescribers in many countries. This study is an exploratory research comparing the genome-wide expression profile in whole-blood samples according to HRT use. Within the Norwegian Women and Cancer study, 100 postmenopausal women (50 HRT users and 50 non-HRT users) born between 1943 and 1949 with normal to high body mass index and no other medication use were selected. After total RNA extraction, amplification, and labeling, the samples were hybridized together with a common reference (Universal human reference RNA, Stratagen) to Agilent Human 1A oligoarrays (G4110b, Agilent Technologies) containing 20,173 unique genes. Differentially expressed genes were used to build a classifier using the nearest shrunken centroid method (PAM). Then, we tested the significant changes in single genes by different methods like t test, Significance Analysis of Microarrays, and Bayesian ANOVA analysis. Results did not reveal any distinct gene list which predicted accurately HRT exposure (error rate, 0.40). Classifier performance slightly improved (error rate, 0.26) including only women who were using continuous combined HRT treatment. According to the small amplitude of expression alterations observed in whole blood, more quantitative technique and larger sample sizes will be needed to be able to investigate whether significant single genes are differentially expressed in HRT versus non-HRT users. Taken cautiously, significant enrichments in biological process of genes with small changes after HRT use were observed (e.g., receptor and transporter activities, immune response, frizzled signaling pathway, actin filament organization, and glycogen metabolism). [Mol Cancer Ther 2006;5(4):868–76]

Alkylating drugs are among the most often used chemotherapeutics. While cancer cells frequently develop resistance to alkylation treatments, detailed understanding of mechanisms that lead to the resistance is limited. Here, by using genome-wide CRISPR–Cas9 based screen, we identify transcriptional Mediator complex subunit 13 (MED13) as a novel modulator of alkylation response. The alkylation exposure causes significant MED13 downregulation, while complete loss of MED13 results in reduced apoptosis and resistance to alkylating agents. Transcriptome analysis identified cyclin D1 (CCND1) as one of the highly overexpressed genes in MED13 knock-out (KO) cells, characterized by shorter G1 phase. MED13 is able to bind to CCND1 regulatory elements thus influencing the expression. The resistance of MED13 KO cells is directly dependent on the cyclin D1 overexpression, and its down-regulation is sufficient to re-sensitize the cells to alkylating agents. We further demonstrate the therapeutic potential of MED13-mediated response, by applying combinatory treatment with CDK8/19 inhibitor Senexin A. Importantly, the treatment with Senexin A stabilizes MED13, and in combination with alkylating agents significantly reduces viability of cancer cells. In summary, our findings identify novel alkylation stress response mechanism dependent on MED13 and cyclin D1 that can serve as basis for development of innovative therapeutic strategies., Graphical Abstract Graphical AbstractModel of MED13 regulated response to alkylation. Created with BioRender.com.

Mikronett er små elektriske distribusjonsnett på et begrenset geografisk område som består av laster, energiproduksjon og energilagring som kan være helt uavhengig av det statlige distribusjonsnettet. Det blir spådd som en mulig løsning for å forbedre fremtidens kraftnettverk. Denne oppgaven tar for seg hvordan et isolert mikronett kan dimensjoneres og driftes optimalt. Mer spesifikt fokuserer oppgaven på følgende: • Gjennomfør et litteraturstudie om ulike energikilder som kan brukes i mikronett og hvordan de er implementert i eksisterende mikronett. • Undersøke energiforbruket og potensialet for fornybar energiproduksjon på Froan. Det blir gjort ved å ta utgangspunkt i data fra ROME-prosjektet til SINTEF. • Dimensjonere komponentene i et mikronett på Froan ved å bruke numerisk optimering og resultatene fra forrige punkt. Det vurderes også hvordan endringer i forbruk, produksjon og kostnader vil påvirke dimensjoneringen. • Undersøke om det er mulig å predikere effektforbruk og effektproduksjon på Froan ved å bruke værdata. Forbruket og produksjonen blir først modellert etter faktiske målinger fra Froan. Deretter brukes værmeldingen for Froan for å predikere forbruket og produksjonen. • Bruke numerisk optimering for å planlegge bruken av batteri og dieselgenerator basert på predikeringene av forbruk og produksjon. Det vurderes også hvordan resultatene kan brukes i praksis på mikronettet på Froan. Resultatene fra denne oppgaven virker lovende og viser at dimensjonen og driften av mikronettet på Froan kan optimeres ved å bruke metodikken som er presentert. På grunn av noe usikkerhet knyttet til datagrunnlaget bør det vurderes hvor store sikkerhetsmarginer som er nødvendig når mikronettet dimensjoneres. Det må også vurderes hvordan optimering av driften skal implementeres i praksis. Microgrids are small electrical distribution grids in a limited geographical area that consist of loads, energy production and energy storage that can be completely independent of the main distribution grid. It is predicted as a possible solution to improve the power grid of the future. This thesis deals with how an isolated microgrid can be dimensioned and operated optimally. More specifically, the thesis focuses on the following: • Conduct a literature study on different energy sources that can be used in microgrids and how they are implemented in existing microgrids. • Investigate energy consumption and the potential for renewable energy production at Froan. This is done based on data from the ROME-project of SINTEF. • Dimension the components of a microgrid at Froan using numerical optimization and the results from the previous item. It is also considered how changes in consumption, production and costs will affect the dimensioning. • Investigate whether it is possible to predict power consumption and power production at Froan using weather data. Consumption and production are modeled after actual measurements from Froan first. Then the weather forecast for Froan is used to predict consumption and production. • Use numerical optimization to plan the use of battery and diesel generator based on the predictions of consumption and production. It is also considered how the results can be used in practice on the microgrid at Froan. The results from this thesis seem promising and show that the dimension and operation of the microgrid on Froan can be optimized by using the methods presented. Due to some uncertainty related to the data basis, it should be considered how large safety margins are needed when dimensioning the microgrid. It must also be considered how operation optimization is to be implemented in practice.

Background: Lynch‐like syndrome (LLS) represents around 50% of the patients fulfilling the Amsterdam Criteria II/revised Bethesda Guidelines, characterized by a strong family history of Lynch Syndrome (LS) associated cancer, where a causative variant was not identified during genetic testing for LS.Methods: Using data extracted from a larger gene panel, we have analyzed next‐generation sequencing data from 22 mismatch repair (MMR) genes (MSH3, PMS1, MLH3, EXO1, POLD1, POLD3 RFC1, RFC2, RFC3, RFC4, RFC5, PCNA, LIG1, RPA1, RPA2, RPA3, POLD2, POLD4, MLH1, MSH2, MSH6, and PMS2) in 274 LLS patients. Detected variants were annotated and filtered using ANNOVAR and FILTUS software.Results: Thirteen variants were revealed in MLH1, MSH2, and MSH6, all genes previously linked to LS. Five additional genes (EXO1, POLD1, RFC1, RPA1, and MLH3) were found to harbor 11 variants of unknown significance in our sample cohort, two of them being frameshift variants.Conclusion: We have shown that other genes associated with the process of DNA MMR have a high probability of being associated with LLS families. These findings indicate that the spectrum of genes that should be tested when considering an entity like Lynch‐like syndrome should be expanded so that a more inclusive definition of this entity can be developed. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.© 2019 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals, Inc. DOI: 10.1002/mgg3.850

Sertoli cells have dual roles during the cells’ lifetime. In the juvenile mammal, Sertoli cells proliferate and create the structure of the testis, and during puberty they cease to proliferate and take on the adult role of supporting germ cells through spermatogenesis. Accordingly, many genes expressed in Sertoli cells during testis formation are repressed during spermatogenesis. 5-Hydroxymethylcytosine (5hmC) is a DNA modification enzymatically generated from 5mC and present in all investigated mammalian tissues at varying levels. Using mass spectrometry and immunofluorescence staining we identified a substantial Sertoli cell-specific global 5hmC increase during rat puberty. Chemical labeling, pull-down and sequencing of 5hmC-containing genomic DNA from juvenile and adult rat Sertoli cells revealed that genes that lose or gain 5hmC belong to different functional pathways and mirror the functions of the cells in the two different states. Loss of 5hmC is associated with genes involved in development and cell structure, whereas gain of 5hmC is associated with genes involved in cellular pathways pertaining to the function of the adult Sertoli cells. This redistribution during maturation shows that 5hmC is a dynamic nucleotide modification, correlated to gene expression. © The Author(s) 2017. This work is licensed under a Creative Commons Attribution 4.0 International License.

Myocardial infarction (MI) triggers a reparative response involving fibroblast proliferation and differentiation driving extracellular matrix modulation necessary to form a stabilizing scar. Recently, it was shown that a genetic variant of the base excision repair enzyme NEIL3 was associated with increased risk of MI in humans. Here, we report elevated myocardial NEIL3 expression in heart failure patients and marked myocardial upregulation of Neil3 after MI in mice, especially in a fibroblast-enriched cell fraction. Neil3−/− mice show increased mortality after MI caused by myocardial rupture. Genome-wide analysis of 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) reveals changes in the cardiac epigenome, including in genes related to the post-MI transcriptional response. Differentially methylated genes are enriched in pathways related to proliferation and myofibroblast differentiation. Accordingly, Neil3−/− ruptured hearts show increased proliferation of fibroblasts and myofibroblasts. We propose that NEIL3-dependent modulation of DNA methylation regulates cardiac fibroblast proliferation and thereby affects extracellular matrix modulation after MI. © 2017 The Authors. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

Summary It is well established that micro-organisms colonize a variety of extreme environments, including habitats like oil reservoirs deep inside the earth crust. Here, we present the results of a comparative high-coverage DNA sequencing study of metagenomes derived from two different oil reservoirs, both located about 2.5 km subseafloor below the Norwegian Sea. A previously reported bioinformatic analysis of DNA sequence data derived from one of the reservoirs (Well I) indicated that the community is dominated by bacterial species with a smaller fraction of Archaea. Here, we report results of a similar analysis from another reservoir (Well II) located in the same geographical area, however, according to available geological knowledge lacking direct physical contact with Well I. Interestingly, the Well II community is largely dominated by Archaea with a subordinate fraction of Bacteria. Comparison of the two datasets showed that large fractions of the sequences are extremely similar, both with respect to identity (typically above 98%) and gene organization. We therefore conclude that both wells contain essentially the same organisms, but in different relative abundances. Assuming that the communities have been distinct for long timescales because of physical separation, the results also indicate that microbial growth in the reservoirs is extremely slow.

Background Many families with a high burden of colorectal cancer fulfil the clinical criteria for Lynch Syndrome. However, in about half of these families, no germline mutation in the mismatch repair genes known to be associated with this disease can be identified. The aim of this study was to find the genetic cause for the increased colorectal cancer risk in these unsolved cases. Materials and methods To reach the aim, we designed a gene panel targeting 112 previously known or candidate colorectal cancer susceptibility genes to screen 274 patient samples for mutations. Mutations were validated by Sanger sequencing and, where possible, segregation analysis was performed. Results We identified 73 interesting variants, of whom 17 were pathogenic and 19 were variants of unknown clinical significance in well-established cancer susceptibility genes. In addition, 37 potentially pathogenic variants in candidate colorectal cancer susceptibility genes were detected. Conclusion In conclusion, we found a promising DNA variant in more than 25 % of the patients, which shows that gene panel testing is a more effective method to identify germline variants in CRC patients compared to a single gene approach. © 2017 The Authors. Clinical Genetics published by John Wiley & Sons A/S. Published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

Microorganisms colonize a variety of extreme environments, and based on cultivation studies and analyses of PCR-amplified 16S rDNA sequences, microbial life appears to extend deep into the earth crust. However, none of these studies involved comprehensive characterizations of total DNA. Here we report results of a high-coverage DNA pyrosequencing of an apparently representative and uncontaminated sample from a deep sea oil reservoir located 2.5 km subsurface, attributing a pressure and temperature of 250 bars and 85°C respectively. Bioinformatic analyses of the DNA sequences indicate that the reservoir harbours a rich microbial community dominated by a smaller number of taxa. Comparison of the metagenome with sequences in databases indicated that there may have been contact between the oil reservoir and surface communities late in the sequence of geological events leading to oil reservoir formation. One specific gene, encoding a putative enolase, was synthesized and expressed in Escherichia coli. Enolase activity was confirmed and was found to be much more thermotolerant than for a corresponding E. coli enzyme, consistent with the conditions in the oil reservoir.

The American Women's Health Initiative study published in July 2002 caused considerable concern among hormone replacement therapy (HRT) users and prescribers in many countries. This study is an exploratory research comparing the genome-wide expression profile in whole-blood samples according to HRT use. Within the Norwegian Women and Cancer study, 100 postmenopausal women (50 HRT users and 50 non-HRT users) born between 1943 and 1949 with normal to high body mass index and no other medication use were selected. After total RNA extraction, amplification, and labeling, the samples were hybridized together with a common reference (Universal human reference RNA, Stratagen) to Agilent Human 1A oligoarrays (G4110b, Agilent Technologies) containing 20,173 unique genes. Differentially expressed genes were used to build a classifier using the nearest shrunken centroid method (PAM). Then, we tested the significant changes in single genes by different methods like t test, Significance Analysis of Microarrays, and Bayesian ANOVA analysis. Results did not reveal any distinct gene list which predicted accurately HRT exposure (error rate, 0.40). Classifier performance slightly improved (error rate, 0.26) including only women who were using continuous combined HRT treatment. According to the small amplitude of expression alterations observed in whole blood, more quantitative technique and larger sample sizes will be needed to be able to investigate whether significant single genes are differentially expressed in HRT versus non-HRT users. Taken cautiously, significant enrichments in biological process of genes with small changes after HRT use were observed (e.g., receptor and transporter activities, immune response, frizzled signaling pathway, actin filament organization, and glycogen metabolism). [Mol Cancer Ther 2006;5(4):868–76]

Shiga toxin-producing Escherichia coli (STEC) cause infections in humans ranging from asymptomatic carriage to bloody diarrhoea and haemolytic uremic syndrome (HUS). Here we present whole genome comparison of Norwegian non-O157 STEC strains with the aim to distinguish between strains with the potential to cause HUS and less virulent strains. Whole genome sequencing and comparisons were performed across 95 non-O157 STEC strains. Twenty-three of these were classified as HUS-associated, including strains from patients with HUS (n = 19) and persons with an epidemiological link to a HUS-case (n = 4). Genomic comparison revealed considerable heterogeneity in gene content across the 95 STEC strains. A clear difference in gene profile was observed between strains with and without the Locus of Enterocyte Effacement (LEE) pathogenicity island. Phylogenetic analysis of the core genome showed high degree of diversity among the STEC strains, but all HUS-associated STEC strains were distributed in two distinct clusters within phylogroup B1. However, non-HUS strains were also found in these clusters. A number of accessory genes were found to be significantly overrepresented among HUS-associated STEC, but none of them were unique to this group of strains, suggesting that different sets of genes may contribute to the pathogenic potential in different phylogenetic STEC lineages. In this study we were not able to clearly distinguish between HUS-associated and non-HUS non-O157 STEC by extensive genome comparisons. Our results indicate that STECs from different phylogenetic backgrounds have independently acquired virulence genes that determine pathogenic potential, and that the content of such genes is overlapping between HUS-associated and non-HUS strains. This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

Background Gene duplication and horizontal gene transfer are common processes in bacterial and archaeal genomes, and are generally assumed to result in either diversification or loss of the redundant gene copies. However, a recent analysis of the genome of the soil bacterium Azotobacter vinelandii DJ revealed an abundance of highly similar homologs among carbohydrate metabolism genes. In many cases these multiple genes did not appear to be the result of recent duplications, or to function only as a means of stimulating expression by increasing gene dosage, as the homologs were located in varying functional genetic contexts. Based on these initial findings we here report in-depth bioinformatic analyses focusing specifically on highly similar intra-genome homologs, or synologs, among carbohydrate metabolism genes, as well as an analysis of the general occurrence of very similar synologs in prokaryotes. Results Approximately 900 bacterial and archaeal genomes were analysed for the occurrence of synologs, both in general and among carbohydrate metabolism genes specifically. This showed that large numbers of highly similar synologs among carbohydrate metabolism genes are very rare in bacterial and archaeal genomes, and that the A. vinelandii DJ genome contains an unusually large amount of such synologs. The majority of these synologs were found to be non-tandemly organized and localized in varying but metabolically relevant genomic contexts. The same observation was made for other genomes harbouring high levels of such synologs. It was also shown that highly similar synologs generally constitute a very small fraction of the protein-coding genes in prokaryotic genomes. The overall synolog fraction of the A. vinelandii DJ genome was well above the data set average, but not nearly as remarkable as the levels observed when only carbohydrate metabolism synologs were considered. Conclusions Large numbers of highly similar synologs are rare in bacterial and archaeal genomes, both in general and among carbohydrate metabolism genes. However, A. vinelandii and several other soil bacteria harbour large numbers of highly similar carbohydrate metabolism synologs which seem not to result from recent duplication or transfer events. These genes may confer adaptive benefits with respect to certain lifestyles and environmental factors, most likely due to increased regulatory flexibility and/or increased gene dosage.

Microorganisms colonize a variety of extreme environments, and based on cultivation studies and analyses of PCR-amplified 16S rDNA sequences, microbial life appears to extend deep into the earth crust. However, none of these studies involved comprehensive characterizations of total DNA. Here we report results of a high-coverage DNA pyrosequencing of an apparently representative and uncontaminated sample from a deep sea oil reservoir located 2.5 km subsurface, attributing a pressure and temperature of 250 bars and 85°C respectively. Bioinformatic analyses of the DNA sequences indicate that the reservoir harbours a rich microbial community dominated by a smaller number of taxa. Comparison of the metagenome with sequences in databases indicated that there may have been contact between the oil reservoir and surface communities late in the sequence of geological events leading to oil reservoir formation. One specific gene, encoding a putative enolase, was synthesized and expressed in Escherichia coli. Enolase activity was confirmed and was found to be much more thermotolerant than for a corresponding E. coli enzyme, consistent with the conditions in the oil reservoir.

Background: microRNAs (miRNAs) exist in blood in an apparently stable form. We have explored whether serum miRNAs can be used as non-invasive early biomarkers of colon cancer. Methods: Serum samples from 30 patients with colon cancer stage IV and 10 healthy controls were examined for the expression of 375 cancer-relevant miRNAs. Based on the miRNA profile in this study, 34 selected miRNAs were measured in serum from 40 patients with stage I–II colon cancer and from 10 additional controls. Results: Twenty miRNAs were differentially expressed in serum from stage IV patients compared with controls (P

It is well established that micro-organisms colonize a variety of extreme environments, including habitats like oil reservoirs deep inside the earth crust. Here, we present the results of a comparative high-coverage DNA sequencing study of metagenomes derived from two different oil reservoirs, both located about 2.5 km subseafloor below the Norwegian Sea. A previously reported bioinformatic analysis of DNA sequence data derived from one of the reservoirs (Well I) indicated that the community is dominated by bacterial species with a smaller fraction of Archaea. Here, we report results of a similar analysis from another reservoir (Well II) located in the same geographical area, however, according to available geological knowledge lacking direct physical contact with Well I. Interestingly, the Well II community is largely dominated by Archaea with a subordinate fraction of Bacteria. Comparison of the two datasets showed that large fractions of the sequences are extremely similar, both with respect to identity (typically above 98%) and gene organization. We therefore conclude that both wells contain essentially the same organisms, but in different relative abundances. Assuming that the communities have been distinct for long timescales because of physical separation, the results also indicate that microbial growth in the reservoirs is extremely slow.

Background Gene duplication is a normal evolutionary process. If there is no selective advantage in keeping the duplicated gene, it is usually reduced to a pseudogene and disappears from the genome. However, some paralogs are retained. These gene products are likely to be beneficial to the organism, e.g. in adaptation to new environmental conditions. The aim of our analysis is to investigate the properties of paralog-forming genes in prokaryotes, and to analyse the role of these retained paralogs by relating gene properties to life style of the corresponding prokaryotes. Results Paralogs were identified in a number of prokaryotes, and these paralogs were compared to singletons of persistent orthologs based on functional classification. This showed that the paralogs were associated with for example energy production, cell motility, ion transport, and defence mechanisms. A statistical overrepresentation analysis of gene and protein annotations was based on paralogs of the 200 prokaryotes with the highest fraction of paralog-forming genes. Biclustering of overrepresented gene ontology terms versus species was used to identify clusters of properties associated with clusters of species. The clusters were classified using similarity scores on properties and species to identify interesting clusters, and a subset of clusters were analysed by comparison to literature data. This analysis showed that paralogs often are associated with properties that are important for survival and proliferation of the specific organisms. This includes processes like ion transport, locomotion, chemotaxis and photosynthesis. However, the analysis also showed that the gene ontology terms sometimes were too general, imprecise or even misleading for automatic analysis. Conclusions Properties described by gene ontology terms identified in the overrepresentation analysis are often consistent with individual prokaryote lifestyles and are likely to give a competitive advantage to the organism. Paralogs and singletons dominate different categories of functional classification, where paralogs in particular seem to be associated with processes involving interaction with the environment.

Background Genes in bacteria may be organised into operons, leading to strict co-expression of the genes that participate in the same operon. However, comparisons between different bacterial genomes have shown that much of the operon structure is dynamic on an evolutionary time scale. This indicates that there are opposing effects influencing the tendency for operon formation, and these effects may be reflected in properties like evolutionary rate, complex formation, metabolic pathways and gene fusion. Results We have used multi-species protein-protein comparisons to generate a high-quality set of genes that are persistent in bacterial genomes (i.e. they have close to universal distribution). We have analysed these genes with respect to operon participation and important functional properties, including evolutionary rate and protein-protein interactions. Conclusions Genes for ribosomal proteins show a very slow rate of evolution. This is consistent with a strong tendency for the genes to participate in operons and for their proteins to be involved in essential and well defined complexes. Persistent genes for non-ribosomal proteins can be separated into two classes according to tendency to participate in operons. Those with a strong tendency for operon participation make proteins with fewer interaction partners that seem to participate in relatively static complexes and possibly linear pathways. Genes with a weak tendency for operon participation tend to produce proteins with more interaction partners, but possibly in more dynamic complexes and convergent pathways. Genes that are not regulated through operons are therefore more evolutionary constrained than the corresponding operon-associated genes and will on average evolve more slowly.

Background: Computational discovery of regulatory elements is an important area of bioinformatics research and more than a hundred motif discovery methods have been published. Traditionally, most of these methods have addressed the problem of single motif discovery – discovering binding motifs for individual transcription factors. In higher organisms, however, transcription factors usually act in combination with nearby bound factors to induce specific regulatory behaviours. Hence, recent focus has shifted from single motifs to the discovery of sets of motifs bound by multiple cooperating transcription factors, so called composite motifs or cisregulatory modules. Given the large number and diversity of methods available, independent assessment of methods becomes important. Although there have been several benchmark studies of single motif discovery, no similar studies have previously been conducted concerning composite motif discovery. Results: We have developed a benchmarking framework for composite motif discovery and used it to evaluate the performance of eight published module discovery tools. Benchmark datasets were constructed based on real genomic sequences containing experimentally verified regulatory modules, and the module discovery programs were asked to predict both the locations of these modules and to specify the single motifs involved. To aid the programs in their search, we provided position weight matrices corresponding to the binding motifs of the transcription factors involved. In addition, selections of decoy matrices were mixed with the genuine matrices on one dataset to test the response of programs to varying levels of noise. Conclusion: Although some of the methods tested tended to score somewhat better than others overall, there were still large variations between individual datasets and no single method performed consistently better than the rest in all situations. The variation in performance on individual datasets also shows that the new benchmark datasets represents a suitable variety of challenges to most methods for module discovery. © 2008 Klepper et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

In some families there is an increased risk for colorectal cancer, caused by heritable, but often unidentified genetic mutations predisposing to the disease. We have identified the likely genetic cause for disease predisposition in a large family with high burden of colorectal adenomas and carcinomas, in addition to extra-colonic cancers. This family had previously been tested for known cancer susceptibility genes, with negative results. Exome sequencing was used to identify a novel mutation, c.1373A>T (p.Tyr458Phe), in the gene for DNA polymerase epsilon catalytic subunit (POLE). This mutation is located in the active site of the exonuclease domain of the enzyme, and affects a residue that has previously been shown to be important for exonuclease activity. The first predisposing mutation identified in POLE (c.1270C>G, p.Leu424Val) was associated with colorectal cancer only, but another mutation with a broader tumour spectrum (c.1089C>A, p.Asn363Lys) has recently been reported. In the family described in the present study, carriers generally have multiple colorectal adenomas and cancer of colon, pancreas, ovaries and small intestine which represents an important broadening of the tumour spectrum of POLE mutation carriers. We also observe a large phenotypic variation among the POLE mutation carriers in this family, most likely explained by modifying variants in other genes. One POLE mutation carrier has a novel variant in EXO1 (c.458C>T, p.Ala153Val), which may contribute to a more severe phenotype. The findings in this study will have important implications for risk assessment and surveillance of POLE mutation carriers. Electronic supplementary material The online version of this article (doi:10.1007/s10689-015-9803-2) contains supplementary material, which is available to authorized users.

One of the most frequently used and effective drugs against multiple myeloma is the alkylating drug melphalan. However, the treatment is often hampered by development of drug resistance. Eventually, nearly all patients develop resistance, and mean survival time is about 3 years. Several factors have been suggested to contribute to drug resistance, including modulated drug transport and metabolism, enhanced DNA repair and decreased apoptotic signalling1,2,3. Major common determinants associated with melphalan resistance, however, remain elusive. To further identify potential protein biomarkers and/or pathways involved in elevated drug tolerance, SILAC-based quantitative protein profiling was performed using the multiple myeloma cell line RPMI 8226 (sensitive) and its derivative RPMI 8226-LR5 (adapted to growth in melphalan). By this approach, 2827 proteins were identified and 1163 were quantified by using both Mascot Distiller and MaxQuant. Comparison as well as grouping into appropriate networks and pathways of identified proteins was performed by Ingenuity Pathway Analysis software. Preliminary analyses indicate that a large fraction of the differentially expressed proteins are involved in DNA replication, recombination and repair, in cell cycle regulation as well as in cancer- and cell death pathways. Further in-depth analysis of selected candidate proteins is now underway.