DETERMINING THE GENOTYPE-PHENOTYPE CONNECTION IN SYNTHETIC INDUCIBLE GENE EXPRESSION SYSTEMS

Introduction Gene expression is an important process whereby the genotype controls an individual cell’s phenotype. However, even genetically identical cells display a variety of phenotypes, which may be attributed to differences in their environment. Yet, even after controlling for these two factors, individual phenotypes still diverge due to noisy gene expression. Synthetic gene expression systems allow investigators to isolate, control, and measure the effects of noise on cell phenotypes. I used mathematical and computational methods to design, study, and predict the behavior of synthetic gene expression systems in S. cerevisiae, which were affected by noise. Methods I created probabilistic biochemical reaction models from known behaviors of the tetR and rtTA genes, gene products, and their gene architectures. I then simplified these models to account for essential behaviors of gene expression systems. Finally, I used these models to predict behaviors of modified gene expression systems, which were experimentally verified. Results Cell growth, which is often ignored when formulating chemical kinetics models, was essential for understanding gene expression behavior. Models incorporating growth effects were used to explain unexpected reductions in gene expression noise, design a set of gene expression systems with “linear” dose-responses, and quantify the speed with which cells explored their fitness landscapes due to noisy gene expression. Conclusions Models incorporating noisy gene expression and cell division were necessary to design, understand, and predict the behaviors of synthetic gene expression systems. The methods and models developed here will allow investigators to more efficiently design new gene expression systems, and infer gene expression properties of TetR based systems.

THE NEW ROLE OF PROPROTEIN CONVERTASE SUBTILISIN/KEXIN TYPE 9: A CONNECTION OF PROPROTEIN CONVERTASE SUBTILISIN/KEXIN TYPE 9, APOLIPOPROTEIN B, and AUTOPHAGY

Plasma low-density lipoprotein (LDL) levels are positively correlated with the incidence of coronary artery disease. In the circulation, the plasma LDL clearance is mainly achieved by the uptake via LDL receptor (LDLR). Proprotein convertase subtilisin/kexin type 9 (PCSK9) is a newly discovered gene, playing an important role in LDL metabolism. Gain-of-function mutations of PCSK9 lead to hypercholesterolemia and loss-of-function mutations of PCSK9 are associated with decrease of LDL cholesterol. The effects of PCSK9 on cholesterol levels are the consequence of a strong interaction between the catalytic domain of PCSK9 and epidermal growth factor-like repeat A (EGF-A) domain of LDLR on the cell surface of hepatocytes. This PCSK9/LDLR complex enters the cell via endocytosis, where both PCSK9 and LDLR are removed via the lysosome pathway, resulting in decreased levels of LDLR and accumulation of LDL in the plasma. However, whether this is the exclusive function of PCSK9 on LDL metabolism was challenged by us; we observed PCSK9 interacted with apolipoprotein B (apoB) and increased apoB production, irrespective of the LDLR. ApoB is the primary structure protein of LDL particle and it also serves as the ligand for the LDL receptor. There is ample evidence showing that the levels of apoB are a better indicator for heart disease than either total cholesterol or LDL cholesterol levels. We used a second-generation adenoviral vector to overexpress PCSK9 (Ad-PCSK9) in wild-type C57BL/6 and LDLR deficient mice (Ldlr-/- and Ldlr-/-Apobec1-/-). Our study revealed that overexpression of PCSK9 promoted the production and secretion of apoB in the form of very-low density lipoprotein (VLDL), which is the precursor of LDL, in the 3 mouse models studied (C57BL/6J, Ldlr-/-, and Ldlr-/-Apobec1-/-). The increased apoB production in mice was regulated at post-transcriptional levels, since there was no difference in apoB mRNA levels between mice treated with Ad-PCSK9 and control vector Ad-Null. By using pulse-chase experiment on primary hepatocytes, we showed that overexpression of PCSK9 increased the secretion of apoB, independent of LDLR. In the circulation, we showed that PCSK9 was associated with LDL particles. By using 3 different protein–protein interaction assays of co-immunoprecipitation, mammalian two-hybrid system, and in situ proximity ligation assay, we demonstrated a direct protein–protein interaction between PCSK9 and apoB. The impact of this interaction inhibited the physiological removal process of apoB via autophagosome/lysosome pathway in an LDLR-independent fashion, resulting in increased production and secretion of apoB-containing lipoproteins. The significance of this process was shown in the Pcsk9 knockout mice in the background of Ldlr-/-Apobec1-/- mice (triple knockout mice); in the absence of Pcsk9 (triple knockout mice) the levels of cholesterol, triacylglycerol, and apoB decreased significantly in comparison to that of Ldlr-/-Apobec1-/- mice. Taken together, our study demonstrated a direct intracellular interaction of PCSK9 with apoB, resulting in the inhibition of apoB degradation via the autophagosome/lysosome pathway independent of LDLR. This discovery provides a new concept of the importance of PCSK9 and suggests new approaches for the therapeutic intervention of hyperlipidemia.

Wetland maps including open water extent dynamics based on ENVISAT ASAR WS for Siberia, 2007 and 2008, links to GeoTIFFs

Wetlands store large amounts of carbon, and depending on their status and type, they release specific amounts of methane gas to the atmosphere. The connection between wetland type and methane emission has been investigated in various studies and utilized in climate change monitoring and modelling. For improved estimation of methane emissions, land surface models require information such as the wetland fraction and its dynamics over large areas. Existing datasets of wetland dynamics present the total amount of wetland (fraction) for each model grid cell, but do not discriminate the different wetland types like permanent lakes, periodically inundated areas or peatlands. Wetland types differently influence methane fluxes and thus their contribution to the total wetland fraction should be quantified. Especially wetlands of permafrost regions are expected to have a strong impact on future climate due to soil thawing. In this study ENIVSAT ASAR Wide Swath data was tested for operational monitoring of the distribution of areas with a long-term SW near 1 (hSW) in northern Russia (SW = degree of saturation with water, 1 = saturated), which is a specific characteristic of peatlands. For the whole northern Russia, areas with hSW were delineated and discriminated from dynamic and open water bodies for the years 2007 and 2008. The area identified with this method amounts to approximately 300,000 km**2 in northern Siberia in 2007. It overlaps with zones of high carbon storage. Comparison with a range of related datasets (static and dynamic) showed that hSW represents not only peatlands but also temporary wetlands associated with post-forest fire conditions in permafrost regions. Annual long-term monitoring of change in boreal and tundra environments is possible with the presented approach. Sentinel-1, the successor of ENVISAT ASAR, will provide data that may allow continuous monitoring of these wetland dynamics in the future complementing global observations of wetland fraction.

Terrain model of the eastern slope of the Porcupine Seabight (50 m grid size)

The topography of the eastern margin of the Porcupine Seabight was surveyed in June 2000 utilizing swath bathymetry. The survey was carried out during RV Polarstern cruise ANT XVII/4 as part of the GEOMOUND project. The main objective was to map and investigate the seafloor topography of this region. The investigated area contains a variability of morphological features such as deep sea channels and giant mounds. The survey was planned and realized on the basis of existing data so as to guarantee the complete coverage of the margin. In order to achieve a resolution of the final digital terrain model (DTM) that meets the project demands, data processing was adjusted accordingly. The grid spacing of the DTM was set to 50 m and an accuracy better than 1% of the water depth was achieved for 96% of the soundings.

Shape-invariant multibeam backscatter data of the eastern slope of the Porcupine Seabight (50 m grid size)

In this study multibeam angular backscatter data acquired in the eastern slope of the Porcupine Seabight are analysed. Processing of the angular backscatter data using the 'NRGCOR' software was made for 29 locations comprising different geological provinces like: carbonate mounds, buried mounds, seafloor channels, and inter-channel areas. A detailed methodology is developed to produce a map of angle-invariant (normalized) backscatter data by correcting the local angular backscatter values. The present paper involves detailed processing steps and related technical aspects of the normalization approach. The presented angle-invariant backscatter map possesses 12 dB dynamic range in terms of grey scale. A clear distinction is seen between the mound dominated northern area (Belgica province) and the Gollum channel seafloor at the southern end of the site. Qualitative analyses of the calculated mean backscatter values i.e., grey scale levels, utilizing angle-invariant backscatter data generally indicate backscatter values are highest (lighter grey scale) in the mound areas followed by buried mounds. The backscatter values are lowest in the inter-channel areas (lowest grey scale level). Moderate backscatter values (medium grey level) are observed from the Gollum and Kings channel data, and significant variability within the channel seafloor provinces. The segmentation of the channel seafloor provinces are made based on the computed grey scale levels for further analyses based on the angular backscatter strength. Three major parameters are utilized to classify four different seafloor provinces of the Porcupine Seabight by employing a semi-empirical method to analyse multibeam angular backscatter data. The predicted backscatter response which has been computed at 20° is the highest for the mound areas. The coefficient of variation (CV) of the mean backscatter response is also the highest for the mound areas. Interestingly, the slope value of the buried mound areas are found to be the highest. However, the channel seafloor of moderate backscatter response presents the lowest slope and CV values. A critical examination of the inter-channel areas indicates less variability within the estimated three parameters.

Acoustic multi-frequency indicator of four major groups on a spatial grid in the Bay of Biscay

The first data set contains the mean and cofficient of variation (standard deviation divided by mean) of a multi-frequency indicator I derived from ER60 acoustic information collected at five frequencies (18, 38, 70, 120, and 200 kHz) in the Bay of Biscay in May of the years 2006, 2008, 2009 and 2010 (Pelgas surveys). The multi-frequency indicator was first calculated per voxel (20 m long × 5 m deep sampling unit) and then averaged on a spatial grid (approx. 20 nm × 20 nm) for five 5-m depth layers in the surface waters (10-15m, 15-20m, 20-25m, 25-30m below sea surface); there are missing values in particular in the shallowest layer. The second data set provides for each grid cell and depth layer the proportion of voxels for which the multi-frequency indicator I was indicative of a certain group of organisms. For this the following interpretation was used: I < 0.39 swim bladder fish or large gas bubbles, I = 0.39-0.58 small resonant bubbles present in gas bearing organisms such as larval fish and phytoplankton, I = 0.7-0.8 fluidlike zooplankton such as copepods and euphausiids, and I > 0.8 mackerel. These proportions can be interpreted as a relative abundance index for each of the four organism groups.