EMBO/sd-character-level-ner huggingface dataset:
Figure 3A Experimental design. Laser coagulation was performed in tamoxifen-treated Cx3cr1CreER, Ifnar1fl/fl and Cx3cr1CreER:Ifnar1fl/fl mice. Animals were analyzed 3, 7 and 14 days after laser treatment. B-D Representative Iba1 staining results of retinal flat mounts detecting microglia/macrophages in laser spot 3 days after laser coagulation in Cx3cr1CreER (B), Ifnar1fl/fl (C) and Cx3cr1CreER:Ifnar1fl/fl (D) mice. Scale bar: 20 µm.E Quantification of amoeboid-shaped mononuclear phagocytes in laser spots. Values show mean ± SD. (n = 17-29 retinas; unpaired Student's t-test: ***p = 0.0003, **p = 0.0044).F Quantification of immune cell morphology in laser spots using a grid image analysis system. Values show mean ± SD. (n = 44-52 cells; unpaired Student's t-test: ***p < 0.0001). G-O Representative fundus fluorescein angiography images of Cx3cr1CreER (G-I), Ifnar1fl/fl (J-L) and Cx3cr1CreER:Ifnar1fl/fl (M-O) mice 3, 7 and 14 days after laser-induced damage.P Quantification of vascular leakage by analyzing pixel intensities at 3, 7 and 14 days after laser-induced retinal damage in Cx3cr1CreER, Ifnar1fl/fl and Cx3cr1CreER:Ifnar1fl/fl mice. Values show mean ± SD. (n = 5-12 eyes; One-way ANOVA followed by Tukey's post-test: **p = 0.0032, *p = 0.0247). Q-V Representative images of lectin stained choroidal flat mounts 7 and 14 days after laser coagulation in Cx3cr1CreER (Q, R), Ifnar1fl/fl (S, T) and Cx3cr1CreER:Ifnar1fl/fl (U, V) mice. Dashed lines indicate CNV areas and the asterisk marks the central optic nerve head. Scale bar: 200 µm.W Quantification of lectin-stained CNV areas with ImageJ software. Bars show mean ± SD. (n = 4-11 RPE/choroidal flat mounts; One-way ANOVA followed by Tukey's post-test: *p = 0.043, ***p = 0.0007).
Alternative activation affects phagosomal proteolysis and lipolysis as well as phagocytosis of negatively charged particle.Figure 1(A) Internalization of apoptotic or necrotic GFP-expressing RAW264.7 cells. (B) Phagocytosis of fluorescent negatively charged carboxylated and positively charged amino microspheres (B) in primary M2 (IL-4) and M0 macrophages. Cytochalasin D (Cyto) (6 µM) was used as an inhibitor of phagocytosis, 1 h before phagocytosis. Data are shown as means of relative fluorescence units (RFU) ± standard error of the mean (SEM). (C-E) Real-time fluorescence assays for intraphagosomal proteolysis (C), acidification (D) and lipolysis (E) show substantially increased proteolysis, acidification and lipolysis in the phagosomes of M2(IL-4) macrophages. The kinetics of proteolysis, acidification and lipolysis of phagocytosed beads were plotted as a ratio of substrate fluorescence to calibration fluorescence. Beads were added to macrophages at 0 min. Shaded area in (C) & (D) represents SEM. (E) is a representative of three independent experiments. Leupeptin (100nM) and Bafilomycin (100nM) treatment serve as negative controls in (C) and (D), respectively.
Figure 3A. Analysis of cytokine expression by CD4T cells isolated from the spleen. Data are representative FACS plots, gated on VD-TCRβ+CD4+CD44+cells (upper row) with mean frequencies among CD4T cells per group ± SEM, and (lower row) with mean frequencies per group.Cells (A-D) were isolated at day 9 after immunization and restimulated in the presence of MOG for 6 h. Data consist of n=5 WT PBS, n=4 WT PTx, n=4 IL-1R1-/- PBS, n=4 IL-1R1-/- PTx, MOG/CFA immunized mice. *p < 0.05, **p < 0.01, ***p < 0.001, N.S. - not significant; two-tailed unpaired t-test. Experiments were performed at least twice with similar results. B. Frequencies and total numbers (mean +SEM) of MOG-specific Th17 cells isolated from the dLN.Cells (A-D) were isolated at day 9 after immunization and restimulated in the presence of MOG for 6 h. Data consist of n=5 WT PBS, n=4 WT PTx, n=4 IL-1R1-/- PBS, n=4 IL-1R1-/- PTx, MOG/CFA immunized mice. *p < 0.05, **p < 0.01, ***p < 0.001, N.S. - not significant; two-tailed unpaired t-test. Experiments were performed at least twice with similar results. C-D. Frequencies and total numbers (mean +SEM) of MOG-specific GM-CSF+ Th17 cells isolated from the spleen (C) and dLN (D).Cells (A-D) were isolated at day 9 after immunization and restimulated in the presence of MOG for 6 h. Data consist of n=5 WT PBS, n=4 WT PTx, n=4 IL-1R1-/- PBS, n=4 IL-1R1-/- PTx, MOG/CFA immunized mice. *p < 0.05, **p < 0.01, ***p < 0.001, N.S. - not significant; two-tailed unpaired t-test. Experiments were performed at least twice with similar results.
Figure 5Landscape of the SEPs with functional annotations in NCBI considering 109 bacterial genomes (Number of SEPs = 25,229 SEPs). Functional inference of the predicted SEPs (N=11,238) as determined using BlastP against NCBI-annotated SEPs having an associated function (N=5,175). The color code associated with each category is the same as in panel A.
Figure 5Both de-repression and activation of YAP gene expression play distinct roles in early progression of breast cancer, mediated through changes in AIB1 and ANCO1 levels.
Figure 6Overview about the different design steps in our promotor engineering strategy (cf. also Appendix Figure S4). The four reporter plasmids were transferred to the wildtype strain containing the CggR (R250A) under the control of the PTEFmut7. The strength of the four promoters was assessed by quantifying YFP (FL1) and mCherry (FL3) fluorescence in exponentially growing wildtype cells in minimal medium with 10 g l-1 glucose. The FL1 and FL3 fluorescence shown is the non-background corrected median of 100 000 cell events. The non-FL control is the signal from a wildtype strain grown under the same conditions. The background fluorescence, assessed by the wildtype harboring the YCplac33 plasmid, was substracted from FL1 and FL3. The final reporter activity is the ratio of the background-corrected YFP and mCherry values. Error bars represent the standard deviation of three independently determined ratios from three replicate experiments. Reporter activity of the sensor across (D) multiple FBP levels Reporter activity is given by the YFP/mCherry ratio, calculated through the quantification of YFP and mCherry fluorescence along culture time using flow cytometry. Both YFP and mCherry fluorescence levels were first corrected for background using the same strains harboring the YCplac33 plasmid (Appendix Table S8). The control is the wildtype and TM6 strains expressing only the reporter plasmid without CggR. Error bars represent the standard deviation of at least three replicate experiments. Reporter activity of the sensor across glycolytic fluxes. The glycolytic flux is reported as the flux between the metabolites fructose 6-phosphate (F6P) and fructose-1,6-bisphosphate (FBP). Glycolytic fluxes were here estimated on the basis of physiological and metabolome data and a novel method to estimate intracellular fluxes (Niebel et al, 2019). Reporter activity is given by the YFP/mCherry ratio, calculated through the quantification of YFP and mCherry fluorescence along culture time using flow cytometry. Both YFP and mCherry fluorescence levels were first corrected for background using the same strains harboring the YCplac33 plasmid (Appendix Table S8). The control is the wildtype and TM6 strains expressing only the reporter plasmid without CggR. Error bars represent the standard deviation of at least three replicate experiments. Fraction of CggR bound to FBP across FBP concentrations. The red arrows indicate the shift in the percentage of CggR bound to FBP achieved in the R250A variant. The percentage of CggR molecules bound to FBP was calculated after normalizing the Tm values for unbound/bound state using the Tm at 0 mM FBP as unbound and at 36 mM (corresponding to maximum FBP concentration used) as total bound states. The curve fitting of the normalized values of CggR fraction bound to FBP was performed using a one-site specific binding model in GraphPad. The solid line corresponds to the wildtype CggR and the dashed line to the R250A variant. Vertical lines delimit the physiological FBP range.
a) Three-colour flow cytometry of erythroid cells from WT embryonic liver (E14.f3(a) Three-colour flow cytometry of erythroid cells from WT embryonic liver (E14.5) stained with anti-Ter119, anti-CD71 and Mitotracker Deep Red. (Left upper panel) Ter119 versus CD71 fluorescence. (Other panels) FSC versus Mitotracker fluorescence of the R1 (right upper panel), R2 (left lower panel) and R3 (right lower panel) fractions. (b,c) Percentage of cells with a low number of mitochondria (mitochondrialow cells) among CD71−Ter119+ EC. Erythroid cells from the liver (E14.5 and E18.5) and peripheral blood (E18.5) of indicated mice were stained with anti-Ter119, anti-CD71 and Mitotracker Deep Red. (b) Representative histograms of mitochondrial content in CD71−Ter119+ cells. Numbers indicate the population of mitochondrialow cells. (c) The percentage of CD71−Ter119+ cells without mitochondria was determined by gating the mitochondrialow fraction, as shown in (b) (mean±s.d., n=6). *P0.05 versus value of WT (analysis of variance (ANOVA)); #P0.05 versus value of Atg5−/− (ANOVA); 'NS' indicates not significant versus value of WT (ANOVA). (d) Percent mitochondrialow cells in the CD71−Ter119+ EC of Atg7F/FCre embryo. Erythroid cells from the liver and peripheral blood of WT and Atg7F/FCre embryo (E18.5) were stained with anti-Ter119, anti-CD71, and Mitotracker Deep Red (mean±s.d., n=3). *P0.05 versus value of WT (Student's t-test). (e) Percentage of mitochondrialow cells in Syto16low cells. Liver erythroid cells (E18.5) were stained with Syto16 (DNA) and Mitotracker Deep Red. Representative dot plots of the mitochondrial content of Syto16low cells are demonstrated in Supplementary Fig. 5, the percentage of Syto16low cells without mitochondria was determined by gating the mitochondrialow fraction (mean±s.d., n=6). *P0.05 versus value of WT (ANOVA); #P0.05 versus value of Atg5−/− (ANOVA); 'NS' indicates not significant versus value of WT (ANOVA). (f) Immunofluorescent analysis of mitochondrial and lysosomal proteins. Liver Ter119+ cells (E18.5) of the indicated mice were stained with anti-Tom20 (mitochondrial marker) and anti-Lamp2 (lysosomal marker) antibodies, and observed by fluorescent microscopy. Scale bar, 2 μm. Green, red, white, and blue indicate Tom20, Lamp2, Ter119 and DAPI (DNA), respectively. Mitochondrial and lysosomal markers have separate distributions in Ulk1gt/gt cells and DKO cells.
Figure 4Representative confocal images of hippocampal neurons showing membrane penetration of TMR-Tat-P4-(C5)2 and TMR-Tat-C5 (5µM) (magenta), but not the control TMR-C5 (all 20µM). The cell membrane was stained with DiO (grey). Scale bars: 10µm and 5µm on the zooms/orthogonal views. Representative confocal images of hippocampal neurons transduced with the viral vector encoding GFP-PICK1 and incubated with 5nM TMR-Tat-P4-(C5)2. Partial co-localization between TMR-Tat-P4-(C5)2 (red), GFP-PICK1 (green) and GluA2 (blue) is seen in insert zooms. Experiment was done three times. Scale bars: 10µm and 1µm on the zooms. Representative immunoblots from hippocampal slices following treatment with Tat-P4-(C5)2 or Tat-C5 (bath application, 20µM). Densitometric analysis of immunoblots from C show reduced PICK1:GluA2 Co-IP following incubation with Tat-P4-(C5)2 but not Tat-C5. Bar graphs show mean with error-bars as SEM. (One-way ANOVA followed by Dunnett´s multiple comparisons test, *** p≤0.001, n = 4/group) Representative immunoblots from hippocampal slices following Tat-P4-(C5)2 bath application (20µM) show reduction in the phosphorylation level of S880 GluA2 both under basal condition and after chemical LTD (cLTD). Bar graphs show densitometric analysis of immunoblots from (E). Representative immunoblots from hippocampal slices following Tat-C5 bath application (20µM) show reduction in the phosphorylation level of S880 GluA2 both under basal condition and after chemical LTD (cLTD). Bar graphs (right panel) show densitometric analysis of immunoblots from (G). Representative confocal images of hippocampal neurons stained for surface GluA2 (sGluA2, light blue) and internalized GluA2 (iGluA2, red). Treatment with Tat-P4-(C5)2 (20 µM) significantly increases the constitutive, but not PMA induced internalization. Scale bars 10µm. Quantification of iGluA2/sGluA2 within the region of interest for individual neuron (see I, top right corner). Tat-C5 did not increase GluA2 internalization (see Appendix Fig S9D-F).
Figure 8(A)-(C) The fitting chi2 are plotted against the ensemble size for complete sfRNAs of DENV2 (A), ZIKV (B) and WNV (C), suggesting optimized minimal structural ensembles with 3, 3 ,3 conformers, respectively. The respective insets show the distribution of the minimal ensembles and the initial pools of 10000 random conformers as a function of Rg. (D)-(F) The models of the selected minimal structural ensembles (Ne=3) that can reproduce the scattering curves of the complete sfRNAs of DENV2 (D), ZIKV (E) and WNV (F) are shown. In each panel, the left are the three individual models in each ensemble overlaid on top of the DB1domains, the right are the three individual models in each ensemble displayed separately. The xrRNA1, xrRNA2, SL3 of WNV, ψ-DB1 and DB1, DB2, and 3'SL domains are colored in red, blue, cyan, green, magenta and orange, respectively.
Overview of the Cell Line specific gene Identification Pipeline (CLIP) for integration of molecular datasets from multiple studies.Figure 3(A) CLIP performs a meta-analysis of datasets from multiple sites for each data modality type: Target addiction score (TAS), Gene dependency (FUNC), protein phosphorylation (PHOS), protein expression (PEXP), gene expression (GEXP), copy number variation (CNV), point mutation (MUT) and methylation (METH) profiles. (B) For each modality type, CLIP iterates over datasets available from multiple sites and quantifies the cancer context specificity (CCS) property for every gene G in cell line j. (C) For all unique cell lines, the CSS property is quantified for each gene G in a dataset D. For continuous modalities (METH, GEXP, PEXP, PHOS, FUNC, TAS), we defined the Outlier Evidence Score (OESG,D,j), calculated by normalizing the observed value by the mean in the dataset for each gene (Xi). SD is defined as the standard deviation. For binary modalities (CNV-GAIN, CNV-LOSS and MUT), we defined the Proportion Score (PSG,D,j) for each gene G in cell line j, calculated as the frequency of the alteration (FD,j) normalized by the total samples in each dataset (ND,j). (D) For a given cell line j, OESG,D scores across the available datasets are integrated using the Rank Product analysis to find statistically consistent genes that are at the top of the ranked list of genes (CCSUP) or at the bottom (CCSDOWN). (E) Finally, CLIP produces a profile of all the genes that are identified as CCS. In total, 13 different modality features were assessed by the CLIP framework, provided there are data available for a cell line for all the molecular datatypes. All genes identified as a CCS gene in any modality are highlighted, light orange for up-regulation and light blue for down-regulation. Genes that have CCS evidence across two or more modality types are considered in our analyses as robust Cancer Context Specific (rCCS) genes, highlighted as light green. (F) A schematics of CLIP signature of a hypothetical gene, which summarizes its CCS evidence in a selected subset of cell lines, defined as a group based on any relevant criteria (the example shows all HER2+ breast cancer cell lines). Y-axis is the ratio of number of cell lines in which the gene is identified as a CCS gene vs. the total number of cell lines in the particular subset.
High-grade CSF-1-positive PDAC features deactivated stroma.Figure 6(A) IHC staining of CSF-1 in PDAC tissue following surgical resection representative image of CSF-1 expression in grade 1 and grade 3 PDAC is depicted. Scale bar represents 100 µm. (B) For each tumor of panel A, CSF-1 expression in ductal adenocarcinoma cells was quantified. Student's t-test. Shown is mean±SD. n=15 primary PDAC samples. (C) A validation cohort of PDAC patients (n=21) that underwent direct resection was stained for CSF-1 (scale bar represents 100 µm), PSR (scale bar represents 500 µm) and α-SMA (scale bar represents 200 µm). OK8 is low in CSF-1 expression and high in PSR and α-SMA expression, while the opposite accounts for OK7. (D) Correlation of % of PSR in the tumor and CSF-1 expressing tumor cells, as indicated in panel C. R2 and P-value were analyzed with linear regression. n=21 primary PDAC samples (E) Correlation of % of α-SMA in the tumor and CSF-1 expressing tumor cells, as indicated in panel C, R2 and P-value were analyzed with linear regression. n=21 primary PDAC samples
Plasma proteins that differed in concentrations following vaccination in the test compare with the control vaccine group.Figure 5False-discovery rate (FDR) are displayed above and were derived from a two sample Wilcoxon rank sum test (Benjamini-Hochberg correction). Vertical lines represent the interquartile range around the median. The red dashed horizontal line is upper limit of the normal CRP reference interval (0-5mg/l). The number of individuals in each group is display in the x-axis.
Figure 2A. Raw 264.7 macrophage cells were transfected with FLAG(N-term)-Rab10 and eGFP(C-term)-Akt-PH domain (PI(3,4,5) P3 marker), or eGFP(C-term)-SARA-Fyve domain (PI3P marker), or eGFP(C-term)-PLC-PH domain (PI(4,5) P2 marker), or mkate2(N-term)-2xTAPP1-PH domain (PI(3,4) P2 marker). Representative photomicrographs (from 25 images analyzed for each condition from n=3 biologically independent experiments) are shown from fixed cells immuno-stained for FLAG-tag (Rab10, shown as green) together with eGFP epifluorescence (shown as red). White bounding boxes show "High Mag" panels that magnify representative individual vesicles. The colocalization of Rab10 and indicated markers in the bounding boxes were analyzed using Image J as described in the method and shown in the "CoLoc" panels. The colocalized pixels are shown in white with the same intensity. Scale bars are 10 μm, or 1 μm in "Hig Mag" panels and "CoLoc" panels. White arrow heads indicate representative Rab10 vesicles positively colocalized with the indicated marker. B. At least 25 cells across three independent experiments were analyzed for each condition (see Materials and Methods section). % of Rab10 vesicles positive with the indicated marker within each cell was quantified. Each dot represents the mean value from one cell analyzed. Group means are given, with error bars representing ± SEM. C. Raw 264.7 macrophage cells were transfected with FLAG(N-term)-Rab10 and eGFP(C-term)-Akt-PH domain (PI(3,4,5) P3 marker) and treated with wortmannin (1 μM) for one hour. Representative photomicrographs (from 25 cells analyzed for each condition from n=3 biologically independent experiments) are shown from fixed cells immuno-stained for FLAG-tag (Rab10, shown as green) together with eGFP epifluorescence (shown as red). Scale bars are 10 μm, or 1 μm in "Hig Mag" panel. D. Percent of cells treated with or without wortmannin harboring Rab10 vesicles was calculated from >30 cells across five independent experiments. Each dot on the plot represents mean values from one experiment. Error bars represent ± SEM and significance was assessed by Mann-Whitney test (owing to non-normal distributions) with ** indicating P<0.01. E. Raw 264.7 cells were co-transfected with eGFP(N-term)-Rab10 and mRuby(N-term)-Rab5 for 48 hours, with live-cell recordings for ~10 minutes. A representative vesicle is shown over the presented time-lapse. Scale bar represents 1 μm. F. Fluorescence intensities of individual vesicles are calculated over time. Dots show mean values calculated from n=8 recorded vesicles from cells from n=3 biologically independent experiments. Error bars show ± SEM.
Figure 3 Schematic describing the sequence space explored by the random library (left). Table listing the top 10 most important features. The relative feature importance is given as relative percentages in the last four columns. The size of the circles is scaled per method (lasso, ridge, xgboost, stacked). The direction column denotes the direction of enrichment of the given feature for functional sequences compared to non-functional sequences (up, positive direction and down, negative direction)
Inhibition of the mitochondrial pyruvate carrier increases energy expenditure fueled by fatty acid oxidation.Figure 1(A,B) Effect of MPC inhibition on cellular lipid droplet content. (A) Live-cell super-resolution confocal imaging of primary brown adipocytes pre-stained overnight with the fatty acid tracer BODIPY C12 558/568 (Bodipy C12, red). Cells were stained with mitotracker green (MTG, green) prior to imaging. Cells were imaged before and 120 minutes after treatment with either vehicle (DMSO) or 100 nM UK5099. As a positive control, cells were imaged 30 min after treatment with 1 µM norepinephrine. LD, lipid droplet; N, nucleus. Scale bar=10 µm. (B) Quantification of changes in lipid droplet cross-sectional area with indicated treatments from images shown in (A). Data are represented as percentage change in LD area at time=120 min compared to time=0 min. (C,D) Effect of MPC inhibition on fatty acid uptake and incorporation into triacylglycerides (TAGs) (C) Representative thin-layer chromatography (TLC) plate of lipids extracted from primary brown adipocytes and cell culture media. Cells were incubated with Bodipy C12 in presence of vehicle (V), 100 nM UK5099 (UK) or 1 µM norepinephrine (NE) for 24 h and triacylglyceride (TAG) synthesis (Lipids in cells) and fatty acid uptake (Lipids in media) were detected. The relative polarity of the lipid species determines the motility, with nonpolar TAG migrating the furthest. (D) Quantification of C12 uptake from media, TAG in cells and TAG per amount of free fatty acid uptake shown in (C), n=5 individual experiments. UK5099 treatment decreases the amount of synthesized TAG per free fatty acid uptake, similarly to NE. (E-G) Effect of UK5099 treatment on cellular energy expenditure. Fully differentiated primary brown adipocytes were pre-treated with vehicle (DMSO) or UK5099 at indicated concentrations for 2 h. Oxygen consumption rates (OCR) were measured in respirometry media supplemented with 5 mM glucose and 3 mM glutamine in the presence of vehicle or UK-5099. (E) Quantification of non-stimulated OCR from n=3-7 individual experiments. Data were normalized to vehicle for each individual experiment. UK5099 increases OCR in non-stimulated brown adipocytes. vehicle. (F) Brown adipocytes were treated with 100 nM UK5099 or vehicle. Etomoxir (Eto; 40 µM) and antimycin A (AA; 4 µM) were injected where indicated. Representative OCR traces averaging 6 technical replicates. (G) Quantification of non-stimulated OCR, etomoxir sensitive, and etomoxir insensitive OCR from n=4 individual experiments. Data were normalized to vehicle for each individual experiment. * (H,I) Effect of MPC inhibition on adipocyte fuel preference towards fatty acid. (H) Schematic representation of metabolite tracing using [U-13C16] palmitate. (I) [U-13C16] palmitate tracing in fully differentiated primary brown adipocytes treated with 5 µM UK5099 or vehicle for 24 h. Data shows mole percent enrichment (MPE) of isotope labeled substrate into respective metabolite.
Figure 3 A-D Wild type MEF (A), Hela (B) and PINK1 KO MEF (C) cells were treated with IU1 (48h, 100 μM) and electron microscope images were evaluated for autophagic vesicle formation. (D) bar graphs represents mean± SEM number of autophagosomes and autolysosome / cell from 3 different set of experiments; at least 40 cells were analysed from each group  E Western blot analysis of HSP60 protein with or without IU1 treatment in the indicated cell type. Bar graphs represent mean ± SEM. N= at least 3 independent experiments. Student's t test. *P ≤ 0.05, **P ≤ 0.01