BUSCADOR RECOLECTA

Differential TF activity in Ahcy loss of function experiments., Peer reviewed

This PDF file includes: Supplementary Fig. 1 to 5 and Supplementary Table 1., Peer reviewed

2. Experimental runs An exemplary for an entire isothermal experiment is given in Fig. 2. It shows the initial conditioning, consisting of ten redox cycles, followed by the actual experiment, consisting of seven isothermal plateaus. These isothermal plateaus each consist of four redox cylces employing the following H2 volume fractions: 50, 50, 30, 16.66 vol%. The 50 vol% run was repeated to possibly detect inconsistencies introduced through the preceding temperature change. Between reduction and oxidation or when changing from one temperature to another, the system was purged with nitrogen. 3. Reproducibility In order to reach the kinetic regime small sample masses (< 2 mg) and high gas flow rates (> 300 ml · min−1) were required. The reproducibility of the measurements was assessed at these conditions. All isothermal runs were repeated six times, all on different days using fresh solid samples and the same TGA programs. Fig. 3 shows the conversion rate dX/dt. for the individual runs during reduction at T = 900 ◦C. Even though, there were noticeable deviations between individual sets, the overall reproducibility of results was convenient. 4. Gas conversion The hydrogen conversion XH2 during the TGA experiments was estimated to ensure sufficient gas supply and negligible impact of steam produced. Low gas conversion signifies that enough gas was present and the atmosphere did not change significantly during the experiments. The mass balance ˙V | in · ci{nz· yH2,i}n n˙ H2,in − (m0 − m∞) MO · (dX/dt)max = ˙V| out · cou{tz· yH2,ou}t n˙ H2,out (1) was used calculate the molar flow n˙ H2,out of unreacted H2 leaving the reactor at maximum reactivity. This gives the highest possible gas conversion for a specific case, i.e. the worst case scenario for reaching the kinetic regime. The n˙ H2,out was used to calculate the conversion XH2 = n˙ H2,in − n˙ H2,out n˙ H2 in at different temperatures and H2 contents. The results are summarized in Table 1. As can be seen, the hydrogen conversion XH2 was low (< 2 %) for all cases, which means that neither gas starvation nor limitations due to steam generation should have played a significant role. 5. Isoconversional methods The additional plots for the isoconversional methods (i.e. evaluation of linear regression and R2) which were referenced in our main work are given in this section. Figure 4 shows the differential isoconversional method for one exemplary experiment with higher mass at 50 vol%H2. Except for the first point (X=0.1) a reasonably high R2 was again achieved. Figure 5 depicts the analysis of the nonisothermal reductions with the differential isoconversional method. Figure 6 shows the results for the integral isoconversional KAS method [1]. For both methods high R2 values were achieved.-- Under a Creative Commons license CC-BY 4.0 Deed., 1. TGA setup.-- 2. Experimental runs.-- 3. Reproducibility.-- 4. Gas conversion.-- 5. Isoconversional methods.-- 6. CFD study.-- 1. TGA setup: A schematic of the experimental setup is given in Fig. 1. The TGA experiments were performed with a NETZSCH STA 449 F3 Jupiter. It consisted of an inner reactor and an outer shell, both made of Al2O3. Different sample holders (crucible, plate, basket) could be mounted on top of a vertical sample carrier at the center of the inner reactor. If not stated differently, the experiments were conducted with the plate (NETZSCH alumina slipon plate, diameter 17 mm). The solid sample was placed on this sample holder. A type S thermocouple within the vertical sample carrier was used for temperature measurements. It had been calibrated with calcium oxalate and pure metal melting points (In, Sn, Bi, Zn, Al, Ag) prior to the experiments. Two different gas flows were relevant in the TGA setup. Firstly, a protective gas flow (20 ml · min−1 N2), which was always switched on, entered the reactor below the sample carrier. Secondly, the main gas flow (H2, O2, N2 and mixtures thereof) entered a water vapor generator, where a predefined mass flow of H2O could be added. The gas mixture was preheated to 180 ◦C and then entered the TGA system from the side. It was heated to the desired temperature during the upwards flow in the outer shell. After reaching the top of the reactor, the gases flowed downwards into the inner reaction chamber, which contained the solid sample, before leaving the reactor via the gas outlet. Both, the main and protective gas flows, were controlled by Bronkhorst mass flow controllers (MFC, 0-250 ml · min−1). 6. CFD study A small, transient CFD study of the TGA was conducted to gauge the temporal evolution of the hydrogen concentration above the solid sample. The TGA geometry of Fig. 1 was simplified (mostly at the inlet and the outlet). Simulations were performed in ANSYS Fluent 2023 R1 using the lamiar flow model and a fixed hydrogen diffusivity of 5·10−4 m2 · s−1. Heat transfer was considered via conduction, convection and radiation (Discrete Ordinate model). A homogeneous velocity distribution was assumed at the inlet (T = 200 ◦C, yH2 = 0.5). The heating was simulated via isothermal walls (T = 800 ◦C) which quickly heated the gases to the operating temperature. At the outlet, a simple pressure outlet condition was chosen. The discretization methods for momentum, mass and heat transfer were set to second order (only Discrete Ordinate was first order), and a first order implicit time solver (time step of 0.1 s) was chosen. Fig. 7 (a) shows the simplified TGA model, Fig. 7 (b) shows the velocity profile in steadystate and Fig. 7 (c) shows the H2 concentration profile at t = 7 s for one exemplary case. As can be seen, the flow around the plate leads to nearly zero velocity at the sample, which could possibly lead to diffusion limitations. More importantly, Fig. 7 (c) suggests an appreciable spatial gradient of hydrogen due to axial dispersion. The temporal evolution of the hydrogen concentration above the plate was given in our main work., Peer reviewed

HMT correlations to transcription factor activity in GTEx., Peer reviewed

PDF file contains: Suplemmentary Figures S1-S11 and Suplemmentary Tables S1-S2. © Author(s) 2023. CC BY 4.0 License. The copyright of individual parts of the supplement might differ from the article licence., Peer reviewed

The N-terminal tails of eukaryotic histones are frequently posttranslationally modified. The role of these modifications in transcriptional regulation is well-documented. However, the extent to which the enzymatic processes of histone posttranslational modification might affect metabolic regulation is less clear. Here, we investigated how histone methylation might affect metabolism using metabolomics, proteomics, and RNA-seq data from cancer cell lines, primary tumour samples and healthy tissue samples. In cancer, the expression of histone methyltransferases (HMTs) was inversely correlated to the activity of NNMT, an enzyme previously characterised as a methyl sink that disposes of excess methyl groups carried by the universal methyl donor S-adenosyl methionine (SAM or AdoMet). In healthy tissues, histone methylation was inversely correlated to the levels of an alternative methyl sink, PEMT. These associations affected the levels of multiple histone marks on chromatin genome-wide but had no detectable impact on transcriptional regulation. We show that HMTs with a variety of different associations to transcription are co-regulated by the Retinoblastoma (Rb) tumour suppressor in human cells. Rb-mutant cancers show increased total HMT activity and down-regulation of NNMT. Together, our results suggest that the total activity of HMTs affects SAM metabolism, independent of transcriptional regulation., Peer reviewed

PDF file contain: Figure S1 and Tables S1-S7. © Author(s) 2023. CC BY 4.0 License. The copyright of individual parts of the supplement might differ from the article licence., Peer reviewed

We provide the DSM and DTm files as geotiffs for ease of use. DSM_winter_3cm_NORTH.tif DSM_summer_3cm_NORTH.tif DTM_winter_3cm_NORTH.tif DTM_summer_3cm_NORTH.tif DSM_winter_3cm_SOUTH.tif DSM_summer_3cm_SOUTH.tif DTM_winter_3cm_SOUTH.tif DTM_summer_3cm_SOUTH.tif The filenames are split into 4 parts: XXX_yyy_zzz_www.tif XXX = Either DSM or DTM. For summer images, DSM corresponds to the surface elevation including vegetation and DTM to the surface elevation with the vegetation cover removed. For winter images, DSM corresponds to the elevation of the snow surface and vegetation sticking out of the snowpack, and DTM to the elevation of the snowpack with the vegetation ignored. yyy = Either summer or winter. Summer corresponds to the snow-free acquisitions on the 28-29 September 2017. Winter denotes the snow-covered acquisitions acquired on 25-26 April 2018. zzz = 3cm. The spatial resolution of the dataset. WWW = Either SOUTH or NORTH. Indicates which site the survey was performed over. The data are projected in EPSG: 2951 (NAD83(CSRS) / MTM zone 9)., We performed high-resolution snow height measurements using drone-based lidar over two 0.5 km long areas near the community of Umiujaq, in Tasiapik valley. The North site is centered around (N:56.5684°; W:76.4895°, elevation 122 m) and the South site around (N:56.5594°; W:76.4816°, elevation 133 m). A snow-free survey was performed on 28-29 September 2017 and a snow survey on 25-26 April 2018. We produced 3 cm digital terrain and digital surface models (DTM and DSM) from the lidar cloud points for each site for both lidar campaigns., French Polar Institute of Research and Technology, Plouzané (IFRTP), grant/award no. 2014-4284: IPEV grant 1042, Institut Polaire Français Paul Émile Victor (IPEV), grant/award no. 1042: ESCAPE-Arctic 3, Natural Sciences and Engineering Research Council (NSERC), grant/award no. 2018-03941: NSERC discovery grant, Peer reviewed

HMT correlations to transcription factor activity in TCGA., Peer reviewed

1. Modern Lake hydrogeology and geological settin.-- 2. Sediment core and age model.--3. Stable isotope data.-- 4. Calculations of saturation of gypsum saturation index, estimated water levels and salinities.-- 5. Lake Zóñar hydrological balance under spring diversion and drier conditions.-- 6. Isotope Model Parametrization.-- 7.7 Archaeological observations., Peer reviewed