Functional characterization of the trypanosome translational repressor SCD6

The storage of translationally inactive mRNAs in cytosolic granules enables cells to react flexibly to environmental changes. In eukaryotes, Scd6 (suppressor of clathrin deficiency 6)/Rap55 (RNA-associated protein 55), a member of the LSm14 (like-Sm14) family, is an important factor in the formation and activity of P-bodies, where mRNA decay factors accumulate, in stress granules that store mRNAs under adverse conditions and in granules that store developmentally regulated mRNAs. SCD6 from Trypanosoma brucei (TbSCD6) shares the same domain architecture as orthologous proteins in other organisms and is also present in cytosolic granules (equivalent to P-bodies). We show that TbSCD6 is a general repressor of translation and that its depletion by RNAi results in a global increase in protein synthesis. With few exceptions, the steady-state levels of proteins are unchanged. TbSCD6 is not required for the formation of starvation-induced granules in trypanosomes, and unlike Scd6 from yeast, Plasmodium and all multicellular organisms analysed to date, it does not form a complex with the helicase Dhh1 (DExD/H-box helicase 1). In common with Xenopus laevis RAP55, TbSCD6 co-purifies with two arginine methyltransferases; moreover, TbSCD6 itself is methylated on three arginine residues. Finally, a detailed analysis identified roles for the Lsm and N-rich domains in both protein localization and tr

Chemistry of pyrrocorphins: methylative opening of the macrocycle between rings A and D, a side reaction in the peripheral C-methylation of a 20-methyl-pyrrocorphinate

One of the minor products from the previously described peripheral -methylation of a magnesium()-20-methyl--pyrrocorphinate is a C-19-methylated 19,20-seco-corphinoid derivative which, on complexation with nickel() acetate, recyclizes to a nickel()-tetradehydro-corrinate.

Characterization of the Drosophila protein arginine methyltransferases DART1 and DART4

The role of arginine methylation in Drosophila melanogaster is unknown. We identified a family of nine PRMTs (protein arginine methyltransferases) by sequence homology with mammalian arginine methyltransferases, which we have named DART1 to DART9 ( Drosophila arginine methyltransferases 1-9). In keeping with the mammalian PRMT nomenclature, DART1, DART4, DART5 and DART7 are the putative homologues of PRMT1, PRMT4, PRMT5 and PRMT7. Other DART family members have a closer resemblance to PRMT1, but do not have identifiable homologues. All nine genes are expressed in Drosophila at various developmental stages. DART1 and DART4 have arginine methyltransferase activity towards substrates, including histones and RNA-binding proteins. Amino acid analysis of the methylated arginine residues confirmed that both DART1 and DART4 catalyse the formation of asymmetrical dimethylated arginine residues and they are type I arginine methyltransferases. The presence of PRMTs in D. melanogaster suggest that flies are a suitable genetic system to study arginine methylation.

Patterns of care in recurrent glioblastoma in Switzerland: a multicentre national approach based on diagnostic nodes

Despite moderate improvements in outcome of glioblastoma after first-line treatment with chemoradiation recent clinical trials failed to improve the prognosis of recurrent glioblastoma. In the absence of a standard of care we aimed to investigate institutional treatment strategies to identify similarities and differences in the pattern of care for recurrent glioblastoma. We investigated re-treatment criteria and therapeutic pathways for recurrent glioblastoma of eight neuro-oncology centres in Switzerland having an established multidisciplinary tumour-board conference. Decision algorithms, differences and consensus were analysed using the objective consensus methodology. A total of 16 different treatment recommendations were identified based on combinations of eight different decision criteria. The set of criteria implemented as well as the set of treatments offered was different in each centre. For specific situations, up to 6 different treatment recommendations were provided by the eight centres. The only wide-range consensus identified was to offer best supportive care to unfit patients. A majority recommendation was identified for non-operable large early recurrence with unmethylated MGMT promoter status in the fit patients: here bevacizumab was offered. In fit patients with late recurrent non-operable MGMT promoter methylated glioblastoma temozolomide was recommended by most. No other majority recommendations were present. In the absence of strong evidence we identified few consensus recommendations in the treatment of recurrent glioblastoma. This contrasts the limited availability of single drugs and treatment modalities. Clinical situations of greatest heterogeneity may be suitable to be addressed in clinical trials and second opinion referrals are likely to yield diverging recommendations.

An Sp1/Sp3 site polymorphism associated with hypermethylation of the candidate tumor suppressor gene RIL in cancer

Gene silencing due to promoter methylation is an alternative to mutations and deletions, which inactivate tumor suppressor genes (TSG) in cancer. We identified RIL by Methylated CpG Island Amplification technique as a novel aberrantly methylated gene. RIL is expressed in normal tissues and maps to the 5q31 region, frequently deleted in leukemias. We found methylation of RIL in 55/80 (69%) cancer cell lines, with highest methylation in leukemia and colon. We also observed methylation in 46/80 (58%) primary tumors, whereas normal tissues showed substantially lower degrees of methylation. RIL expression was lost in 13/16 cancer cell lines and was restored by demethylating agent. Screening of 38 cell lines and 13 primary cancers by SSCP revealed no mutations in RIL, suggesting that methylation and LOH are the primary inactivation mechanisms. Stable transfection of RIL into colorectal cancer cells resulted in reduction in cell growth, clonogenicity, and increased apoptosis upon UVC treatment, suggesting that RIL is a good candidate TSG. ^ In searching for a cause of RIL hypermethylation, we identified a 12-bp polymorphic sequence around the transcription start site of the gene that creates a long allele containing 3CTC repeat. Evolutionary studies suggested that the long allele appeared late in evolution due to insertion. Using bisulfite sequencing, in cancers heterozygous for RIL, we found that the short allele is 4.4-fold more methylated than the long allele (P = 0.003). EMSA results suggested binding of factor(s) to the inserted region of the long allele, but not to the short. EMSA mutagenesis and competition studies, as well as supershifts using nuclear extracts or recombinant Sp1 strongly indicated that those DNA binding proteins are Sp1 and Sp3. Transient transfections of RIL allele-specific expression constructs showed less than 2-fold differences in luciferase activity, suggesting no major effects of the additional Sp1 site on transcription. However, stable transfection resulted in 3-fold lower levels of transcription from the short allele 60 days post-transfection, consistent with the concept that the polymorphic Sp1 site protects against time-dependent silencing. Thus, an insertional polymorphism in the RIL promoter creates an additional Sp1/Sp3 site, which appears to protect it from silencing and methylation in cancer. ^

Emerging roles for the double strand break repair protein 53BP1 in transcriptional regulation

Disruption of the mechanisms that regulate cell-cycle checkpoints, DNA repair, and apoptosis results in genomic instability and often leads to the development of cancer. In response to double stranded breaks (DSBs) as induced by ionizing radiation (IR), generated during DNA replication, or through immunoglobulin heavy chain (IgH) rearrangements in T and B cells of lymphoid origin, the protein kinases ATM and ATR are central players that activate signaling pathways leading to DSB repair. p53 binding protein 1 (53BP1) participates in the repair of DNA double stranded breaks (DSBs) where it is recruited to or near sites of DNA damage. In addition to its well established role in DSB repair, multiple lines of evidence implicate 53BP1 in transcription which stem from its initial discovery as a p53 binding protein in a yeast two-hybrid screen. However, the mechanisms behind the role of 53BP1 in these processes are not well understood. ^ 53BP1 possesses several motifs that are likely important for its role in DSB repair including two BRCA1 C-terminal repeats, tandem Tudor domains, and a variety of phosphorylation sites. In addition to these motifs, we identified a glycine and arginine rich region (GAR) upstream of the Tudor domains, a sequence that is oftentimes serves as a site for protein arginine methylation. The focus of this project was to characterize the methylation of 53BP1 and to evaluate how methylation influenced the role of 53BP1 as a tumor suppressor. ^ Using a variety of biochemical techniques, we demonstrated that 53BP1 is methylated by the PRMT1 methyltransferase in vivo. Moreover, GAR methylation occurs on arginine residues in an asymmetric manner. We further show that sequences upstream of the Tudor domains that do not include the GAR stretch are sufficient for 53BP1 oligomerization in vivo. While investigating the role of arginine methylation in 53BP1 function, we discovered that 53BP1 associates with proteins of the general transcription apparatus as well as to other factors implicated in coordinating transcription with chromatin function. Collectively, these data support a role for 53BP1 in regulating transcription and provide insight into the possible mechanisms by which this occurs. ^

Molecular mechanisms by which p53/LSD1 and ERalpha/Trim24 complexes mediate gene regulation

In this dissertation, I identify two molecular mechanisms by which transcription factors cooperate with their co-regulators to mediate gene regulation. In the first part, I demonstrate that p53 directly recruits LSD1, a histone demethylase, to AFP chromatin to demethylate methylated H3K4 and actively mediate transcription repression. Loss of p53 and LSD1 interaction at chromatin leads to derepression of AFP in hepatic cells. In the second part, I reveal that Trim24 functions as an important co-activator in ERα-mediated gene activation in response to estrogen stimulation. Trim24 is recruited by ligand-bound ERα to chromatin and stabilizes ERα-chromatin interactions by binding to histone H3 via its PHD finger, which preferentially recognizes unmethylated H3K4. ^

DNA methylation inhibits p53 mediated survivin repression in cancer cells

Survivin (BIRC5) is a member of the Inhibitor of Apoptosis (IAP) gene family and functions as a chromosomal passenger protein as well as a mediator of cell survival. Survivin is widely expressed during embryonic development then becomes transcriptionally silent in most highly differentiated adult tissues. It is also overexpressed in virtually every type of tumor. The survivin promoter contains a canonical CpG island that has been described as epigenetically regulated by DNA methylation. We observed that survivin is overexpressed in high grade, poorly differentiated endometrial tumors, and we hypothesized that DNA hypomethylation could explain this expression pattern. Surprisingly, methylation specific PCR and bisulfite pyrosequencing analysis showed that survivin was hypermethylated in endometrial tumors and that this hypermethylation correlated with increased survivin expression. We proposed that methylation could activate survivin expression by inhibit the binding of a transcriptional repressor. ^ The tumor suppressor protein p53 is a well documented transcriptional repressor of survivin and examination of the survivin promoter showed that the p53 binding site contains 3 CpG sites which often become methylated in endometrial tumors. To determine if methylation regulates survivin expression, we treated HCT116 cells with decitabine, a demethylation agent, and observed that survivin transcript and protein levels were significantly repressed following demethylation in a p53 dependent manner. Subsequent binding studies confirmed that DNA methylation inhibited the binding of p53 protein to its binding site in the survivin promoter. ^ We are the first to report this novel mechanism of epigenetic regulation of survivin. We also conducted microarray analysis which showed that many other cancer relevant genes may also be regulated in this manner. While demethylation agents are traditionally thought to inhibit cancer cell growth by reactivating tumor suppressors, our results indicate that an additional important mechanism is to decrease the expression of oncogenes. ^

TAZ AS A REGULATOR OF MESENCHYMAL TRANSFORMATION AND CLINICAL AGGRESSIVENESS IN GLIOMAS

Glioblastoma multiforme (GBM) is an aggressive, high grade brain tumor. Microarray studies have shown a subset of GBMs with a mesenchymal gene signature. This subset is associated with poor clinical outcome and resistance to treatment. To establish the molecular drivers of this mesenchymal transition, we correlated transcription factor expression to the mesenchymal signature and identified transcriptional co-activator with PDZ-binding motif (TAZ) to be highly associated with the mesenchymal shift. High TAZ expression correlated with worse clinical outcome and higher grade. These data led to the hypothesis that TAZ is critical to the mesenchymal transition and aggressive clinical behavior seen in GBM. We investigated the expression of TAZ, its binding partner TEAD, and the mesenchymal marker FN1 in human gliomas. Western analyses demonstrated increased expression of TAZ, TEAD4, and FN1 in GBM relative to lower grade gliomas. We also identified CpG islands in the TAZ promoter that are methylated in most lower grade gliomas, but not in GBMs. TAZ-methylated glioma stem cell (GSC) lines treated with a demethylation agent showed an increase in mRNA and protein TAZ expression; therefore, methylation may be another novel way TAZ is regulated since TAZ is epigenetically silenced in tumors with a better clinical outcome. To further characterize the role of TAZ in gliomagenesis, we stably silenced or over-expressed TAZ in GSCs. Silencing of TAZ decreased invasion, self-renewal, mesenchymal protein expression, and tumor-initiating capacity. Over-expression of TAZ led to an increase in invasion, mesenchymal protein expression, mesenchymal differentiation, and tumor-initiating ability. These actions are dependent on TAZ interacting with TEAD since all these effects were abrogated with TAZ could not bind to TEAD. We also show that TAZ and TEAD directly bind to mesenchymal gene promoters. Thus, TAZ-TEAD interaction is critically important in the mesenchymal shift and in the aggressive clinical behavior of GBM. We identified TAZ as a regulator of the mesenchymal transition in gliomas. TAZ could be used as a biomarker to both estimate prognosis and stratify patients into clinically relevant subgroups. Since mesenchymal transition is correlated to tumor aggressiveness, strategies to target and inhibit TAZ-TEAD and the downstream gene targets may be warranted in alternative treatment.

RNA-SEQUENCING APPLICATIONS: GENE EXPRESSION QUANTIFICATION AND METHYLATOR PHENOTYPE IDENTIFICATION

My dissertation focuses on two aspects of RNA sequencing technology. The first is the methodology for modeling the overdispersion inherent in RNA-seq data for differential expression analysis. This aspect is addressed in three sections. The second aspect is the application of RNA-seq data to identify the CpG island methylator phenotype (CIMP) by integrating datasets of mRNA expression level and DNA methylation status. Section 1: The cost of DNA sequencing has reduced dramatically in the past decade. Consequently, genomic research increasingly depends on sequencing technology. However it remains elusive how the sequencing capacity influences the accuracy of mRNA expression measurement. We observe that accuracy improves along with the increasing sequencing depth. To model the overdispersion, we use the beta-binomial distribution with a new parameter indicating the dependency between overdispersion and sequencing depth. Our modified beta-binomial model performs better than the binomial or the pure beta-binomial model with a lower false discovery rate. Section 2: Although a number of methods have been proposed in order to accurately analyze differential RNA expression on the gene level, modeling on the base pair level is required. Here, we find that the overdispersion rate decreases as the sequencing depth increases on the base pair level. Also, we propose four models and compare them with each other. As expected, our beta binomial model with a dynamic overdispersion rate is shown to be superior. Section 3: We investigate biases in RNA-seq by exploring the measurement of the external control, spike-in RNA. This study is based on two datasets with spike-in controls obtained from a recent study. We observe an undiscovered bias in the measurement of the spike-in transcripts that arises from the influence of the sample transcripts in RNA-seq. Also, we find that this influence is related to the local sequence of the random hexamer that is used in priming. We suggest a model of the inequality between samples and to correct this type of bias. Section 4: The expression of a gene can be turned off when its promoter is highly methylated. Several studies have reported that a clear threshold effect exists in gene silencing that is mediated by DNA methylation. It is reasonable to assume the thresholds are specific for each gene. It is also intriguing to investigate genes that are largely controlled by DNA methylation. These genes are called “L-shaped” genes. We develop a method to determine the DNA methylation threshold and identify a new CIMP of BRCA. In conclusion, we provide a detailed understanding of the relationship between the overdispersion rate and sequencing depth. And we reveal a new bias in RNA-seq and provide a detailed understanding of the relationship between this new bias and the local sequence. Also we develop a powerful method to dichotomize methylation status and consequently we identify a new CIMP of breast cancer with a distinct classification of molecular characteristics and clinical features.

The effects of DNA cytosine methylation on H -ras promoter structure and function

The effect of DNA cytosine methylation on H-ras promoter activity was assessed using a transient expression system employing the plasmid H-rasCAT (NaeI H-ras promoter linked to the chloramphenicol acetyltransferase (CAT) gene). This 551 bp promoter is 80% GC rich, enriched with 168 CpG dinucleotides, and contains six functional GC box elements which represent major DNA methylation target sites. Prokaryotic methyltransferases HhaI (CGm$\sp5$CG) and HpaII (Cm$\sp5$CGG) alone or in combination with a human placental methyltransferase (HP MTase) were used to introduce methyl groups at different CpG sites within the promoter. To test for functional promoter activity, the methylated plasmids were introduced into CV-1 cells and CAT activity assessed 48 h post-transfection. Methylation at specific HhaI and HpaII sites reduced CAT expression by 70%, whereas more extensive methylation at generalized CpG sites with HP MTase inactivated the promoter $>$95%. The inhibition of H-ras promoter activity was not attributable to methylation-induced differences in DNA uptake or stability in the cell, topological form of the plasmid, or methylation effects in nonpromoter regions. We also observed that DNA cytosine methylation of a 360 bp promoter fragment by HP MTase induced a local change in DNA conformation. Using three independent methodologies (nitrocellulose filter binding assays, gel mobility shifts, and Southwestern blots), we determined that this change in promoter conformation affected the interaction of nuclear proteins with cis-regulatory sequences residing in the promoter region. The results provide evidence to suggest that DNA methylation may regulate gene expression by inducing changes in local promoter conformation which in turn alters the interactions between DNA and protein factors required for transcription. The results provide supportive evidence for the hypothesis of Cedar and Riggs, who postulated that DNA methylation may regulate gene expression by altering the binding affinities of proteins for DNA. ^

Mercury species concentrations near Casey station, Antarctica and along the SR3 CASO-GEOTRACES transect

We present here the first mercury speciation study in the water column of the Southern Ocean, using a high-resolution south-to-north section (27 stations from 65.50°S to 44.00°S) with up to 15 depths (0-4440 m) between Antarctica and Tasmania (Australia) along the 140°E meridian. In addition, in order to explore the role of sea ice in Hg cycling, a study of mercury speciation in the 'snow-sea ice-seawater' continuum was conducted at a coastal site, near the Australian Casey station (66.40°S; 101.14°E). In the open ocean waters, total Hg (Hg(T)) concentrations varied from 0.63 to 2.76 pmol/L with 'transient-type' vertical profiles and a latitudinal distribution suggesting an atmospheric mercury source south of the Southern Polar Front (SPF) and a surface removal north of the Subantartic Front (SAF). Slightly higher mean Hg(T) concentrations (1.35 ± 0.39 pmol/L) were measured in Antarctic Bottom Water (AABW) compared to Antarctic Intermediate water (AAIW) (1.15 ± 0.22 pmol/L). Labile Hg (Hg(R)) concentrations varied from 0.01 to 2.28 pmol/L, with a distribution showing that the Hg(T) enrichment south of the SPF consisted mainly of Hg(R) (67 ± 23%), whereas, in contrast, the percentage was half that in surface waters north of PFZ (33 ± 23%). Methylated mercury species (MeHg(T)) concentrations ranged from 0.02 to 0.86 pmol/L. All vertical MeHg(T) profiles exhibited roughly the same pattern, with low concentrations observed in the surface layer and increasing concentrations with depth up to an intermediate depth maximum. As for Hg(T), low mean MeHg(T) concentrations were associated with AAIW, and higher ones with AABW. The maximum of MeHg(T) concentration at each station was systematically observed within the oxygen minimum zone, with a statistically significant MeHg(T) vs Apparent Oxygen Utilization (AOU) relationship (p <0.001). The proportion of Hg(T) as methylated species was lower than 5% in the surface waters, around 50% in deep waters below 1000 m, reaching a maximum of 78% south of the SPF. At Casey coastal station Hg(T) and Hg(R) concentrations found in the 'snow-sea ice-seawater' continuum were one order of magnitude higher than those measured in open ocean waters. The distribution of Hg(T) there suggests an atmospheric Hg deposition with snow and a fractionation process during sea ice formation, which excludes Hg from the ice with a parallel Hg enrichment of brine, probably concurring with the Hg enrichment of AABW observed in the open ocean waters. Contrastingly, MeHg(T) concentrations in the sea ice environment were in the same range as in the open ocean waters, remaining below 0.45 pmol/L. The MeHg(T) vertical profile through the continuum suggests different sources, including atmosphere, seawater and methylation in basal ice. Whereas Hg(T) concentrations in the water samples collected between the Antarctic continent and Tasmania are comparable to recent measurements made in the other parts of the World Ocean (e.g., Soerensen et al., 2010; doi:10.1021/es903839n), the Hg species distribution suggests distinct features in the Southern Ocean Hg cycle: (i) a net atmospheric Hg deposition on surface water near the ice edge, (ii) the Hg enrichment in brine during sea ice formation, and (iii) a net methylation of Hg south of the SPF.

Biogeochemical processes in anoxic sediment from Lake Plußsee, Germany

In anoxic environments, volatile methylated sulfides like methanethiol (MT) and dimethyl sulfide (DMS) link the pools of inorganic and organic carbon with the sulfur cycle. However, direct formation of methylated sulfides from reduction of dissolved inorganic carbon has previously not been demonstrated. When studying the effect of temperature on hydrogenotrophic microbial activity, we observed formation of DMS in anoxic sediment of Lake Plußsee at 55 °C. Subsequent experiments strongly suggested that the formation of DMS involves fixation of bicarbonate via a reductive pathway in analogy to methanogenesis and engages methylation of MT. DMS formation was enhanced by addition of bicarbonate and further increased when both bicarbonate and H2 were supplemented. Inhibition of DMS formation by 2-bromoethanesulfonate points to the involvement of methanogens. Compared to the accumulation of DMS, MT showed the opposite trend but there was no apparent 1:1 stoichiometric ratio between both compounds. Both DMS and MT had negative d13C values of -62 per mil and -55 per mil, respectively. Labeling with NaH**13CO3 showed more rapid incorporation of bicarbonate into DMS than into MT. The stable carbon isotopic evidence implies that bicarbonate was fixed via a reductive pathway of methanogenesis, and the generated methyl coenzyme M became the methyl donor for MT methylation. Neither DMS nor MT accumulation were stimulated by addition of the methyl-group donors methanol and syringic acid or by the methyl-group acceptor hydrogen sulphide. The source of MT was further investigated in a H2**35S labeling experiment, which demonstrated a microbially-mediated process of hydrogen sulfide methylation to MT that accounted for only <10% of the accumulation rates of DMS. Therefore, the major source of the 13C-depleted MT was neither bicarbonate nor methoxylated aromatic compounds. Other possibilities for isotopically depleted MT, such as other organic precursors like methionine, are discussed. This DMS-forming pathway may be relevant for anoxic environments such as hydrothermally influenced sediments and fluids and sulfate-methane transition zones in marine sediments.

Methane measurements during POLARSTERN cruise ARK-XXII/2

A methane surplus relative to the atmospheric equilibrium is a frequently observed feature of ocean surface water. Despite the common fact that biological processes are responsible for its origin, the formation of methane in aerobic surface water is still poorly understood. We report on methane production in the central Arctic Ocean, which was exclusively detected in Pacific derived water but not nearby in Atlantic derived water. The two water masses are distinguished by their different nitrate to phosphate ratios. We show that methane production occurs if nitrate is depleted but phosphate is available as a P source. Apparently the low N:P ratio enhances the ability of bacteria to compete for phosphate while the phytoplankton metabolite dimethylsulfoniopropionate (DMSP) is utilized as a C source. This was verified by experimentally induced methane production in DMSP spiked Arctic sea water. Accordingly we propose that methylated compounds may serve as precursors for methane and thermodynamic calculations show that methylotrophic methanogenesis can provide energy in aerobic environments.

Microbial community, biomarker concentrations and their isotopic signature in sediment of Gullfaks and Tommeliten methane seeps in the Northern North Sea

Gullfaks is one of the four major Norwegian oil and gas fields, located in the northeastern edge of the North Sea Plateau. Tommeliten lies in the greater Ekofisk area in the central North Sea. During the cruises HE 208 and AL 267 several seep locations of the North Sea were visited. At the Heincke seep at Gullfaks, sediments were sampled in May 2004 (HE 208) using a video-guided multiple corer system (MUC; Octopus, Kiel). The samples were recovered from an area densely covered with bacterial mats where gas ebullition was observed. The coarse sands limited MUC penetration depth to maximal 30 centimeters and the highly permeable sands did not allow for a high-resolution, vertical subsampling because of pore water loss. The gas flare mapping and videographic observation at Tommeliten indicated an area of gas emission with a few small patches of bacterial mats with diameters <50 cm from most of which a single stream of gas bubbles emerged. The patches were spaced apart by 10-100 m. Sampling of sediments covered by bacterial mats was only possible with 3 small push cores (3.8 cm diameter) mounted to ROV Cherokee. These cores were sampled in 3 cm intervals. Lipid biomarker extraction from 10 -17 g wet sediment was carried out as described in detail elsewhere (Elvert et al., 2003; doi:10.1080/01490450303894). Briefly, defined concentrations of cholestane, nonadecanol and nonadecanolic acid with known delta 13C-values were added to the sediments prior to extraction as internal standards for the hydrocarbon, alcohol and fatty acid fraction, respectively. Total lipid extracts were obtained from the sediment by ultrasonification with organic solvents of decreasing polarity. Esterified fatty acids (FAs) were cleaved from the glycerol head group by saponification with methanolic KOH solution. From this mixture, the neutral fraction was extracted with hexane. After subsequent acidification, FAs were extracted with hexane. For analysis, FAs were methylated using BF3 in methanol yielding fatty acid methyl esters (FAMES). The fixation for total cell counts and CARD-FISH were performed on-board directly after sampling. For both methods, sediments were fixed in formaldehyde solution. After two hours, aliquots for CARD-FISH staining were washed with 1* PBS (10mmol/l sodium phosphate solution, 130mmol/l NaCl, adjusted to a pH of 7.2) and finally stored in a 1:1 PBS:ethanol solution at -20°C until further processing. Samples for total cell counts were stored in formalin at 4°C until analysis. For sandy samples, the total cell count/CARD-FISH protocol was optimized to separate sand particles from the cells. Cells were dislodged from sediment grains and brought into solution with the supernatant by sonicating each sample onice for 2 minutes at 50W. This procedure was repeated four times and supernatants were combined. The sediment samples were brought to a final dilution of 1:2000 to 1:4000 and filtered onto 0.2µm GTTP filters (Millipore, Eschbonn, Germany).