EMBO/sd-character-level-ner huggingface dataset:
ATRA-dependent anti-tumor activity in short-term cultures of primary breast tumors.Figure 3ATRA-dependent anti-tumor activity in short-term cultures of primary breast tumorsTissue slices deriving from surgical specimens were challenged with vehicle (DMSO) or ATRA (0.1 μM) for 48 h.The panel illustrates examples of the immuno-histochemical data obtained in four representative cases: (i) Luminal-A (Lum A); (ii) Luminal-B (Lum B); (iii) Her2+ with RARA coamplification (Her2+/RARA+) and (iv) triple negative (TN). The percentage of Ki67-positive tumor cells in the 45 samples considered are illustrated by the bar graphs. Each value represents the mean ± SE of at least five separate fields for each experimental sample. *Significantly lower than the corresponding vehicle-treated control (P-value < 0.05, Student's t-test). **Significantly lower than the corresponding vehicle-treated control (P-value < 0.01, Student's t-test).
Model fitting and classification of primary response genes.Figure 3 Figure 3 - Model fitting and classification of primary response genes. A: HEK293∆RAF1:ER cells were treated with 4OHT for constitutive induction of ERK signalling. Phosphorylation levels of ERK2 were measured with bead-based ELISA (Bio-Plex). RNA time course expression data was measured using microarrays. This data was the basis to train gene-wise model parameters. B: pERK2 log2 fold change upon sustained activation (left) and deduced input function (right) used for model fitting. Average pERK2 log2 fold change upon 4OHT treatment equals 100% signalling amplitude. C: Measured gene expression kinetics and the resulting maximum likelihood fit of the gene expression model of all significantly induced primary response genes (FDR = 1%). Gene expression is shown as percentage of response amplitude. Mean error is calculated as the mean of absolute residuals serving as a goodness of fit measure.  D: Classification of primary response genes. For each gene, response time r is calculated as the sum of deduced transcriptional delay ∆t and mRNA half-life t1/2 and used for ranking. In general, immediate-early genes (IEGs) have short response times, whereas both immediate late genes (ILGs) and delayed early genes (DEGs) have longer response times. For ILGs, long response times are due to long mRNA half-lives. For DEGs, long response times are mainly due to long transcriptional delays (cf. boxplots). E: Response times for IEGs, DEGs and ILGs. Genes on the same trajectory have the same response time, but response times are composed differently. For IEGs and ILGs, response times are solely determined by mRNA half-life, whereas DEGs have response times that are mixtures of half-life and transcriptional delay.
Figure 4(A) Coronary arteries dissected from the human heart. Left main (LM), left anterior descending (LAD), and left circumflex (LCX) branches. Scale bar: 1 cm. (B) Elastic-Van Gieson (EVG) staining of human coronary arteries demonstrating various degrees of atherosclerosis. (C-D) Representative images of immunofluorescence staining for CD31 (green) and SM -actin (red) or SM-MHC (red) in No/mild, moderate, and severe disease human left main coronary arteries. No: no-disease. Nuclei were stained with DAPI (blue). (b)&amp;amp;(d)&amp;amp;(f) are high-magnification view from (a)&amp;amp;(c)&amp;amp;(e). Images are representative of ten No/mild, nine moderate and ten severe disease human left main coronary artery samples. L: lumen. Scale bar: 16 m. (E&amp;amp;G) Representative images of immunofluorescence staining for p-FGFR1 (red) or FGFR1 (red) in the same patient cohort. Nuclei were counter-stained with DAPI (blue). Scale bar: 16 m. (F&amp;amp;H) Percentage of medial p-FGFR1+ SMC and FGFR1+ SMC (***p<0.001 compared to No/mild disease, NS: not significant compared to No/mild disease; one-way ANOVA with Newman-Keuls post hoc test for multiple comparison correction).
Figure 1A. Schematic drawing of the POT1 gene structure and two derived polypeptides. Exon 6 that has been chosen for gene editing is encircled. B. Schematic drawing of the repair template used for CRISPR/Cas9 mediated gene editing in HEK293E cells. Positions of primers for genotyping PCR are marked with arrows. C. Western blot for POT1 and DDR markers upon POT1 deletion induced with 0.5 μM 4-OHT. Cl75 - parental cell line. gRNA1 - POT1 knock-out in the population by transient transfection with pSpCas9(BB)-2A-puro containing gRNA1 sequence. EV - corresponding empty vector. D. Time course of telomere length changes upon POT1 removal in clone 35. d (days) TP0 - time point 0, no 4OHT. E. Growth curve for POT1 WT and POT1 knockout cells. Population doublings (PDL) are represented as mean ± SD (three biological replicates). F. Quantification for TIFs in EdU positive and EdU negative cells upon POT1 removal in clone 35. The bars show percentage of cells containing more than 5 TIFs ± SD. Experiments were performed in triplicate. At least 120 cells were analyzed per condition per replicate. Significance was determined using two-way ANOVA. p-values are indicated on the graph.
Figure 1Identification of the ENU-induced hearing loss pedigree MPC169, subsequently named clarinet. ABR phenotyping of pedigree Muta-Ped-C3PDE-169 at 3-months of age identified 8 mice with elevated hearing thresholds (red triangles) compared to their normal hearing colony mates (n=61, black triangles). Indeed, all eight affected mice were found to not respond to the highest intensity stimulus (90 dB SPL) at the three frequencies tested, or the click stimulus, and so their thresholds are shown as 95 dB SPL. The genomic structure of mouse Clrn2 (ENSMUST00000053250), and domains of the encoded tetraspan-like glycoprotein (232 amino acids). Black filled boxes represent untranslated region of Clrn2. The positions of the transmembrane (TM) domains (blue) and the structure of Clrn2clarinet (C) and Clrn2del629 (D) alleles are indicated. The clarinet mutation, Clrn2clarinet, (c.12G>A) is predicted to lead to a premature stop codon at position 4 (p.Trp4*) (C), whereas the Clrn2del629 allele consists of a CRISPR/Cas9-mediated 629 nucleotide deletion encompassing exon 2, leading to splicing of exon 1 to exon 3, which if translated would produce a protein lacking 2 (TM2 and TM3) of the 4 transmembrane domains (D). Averaged ABR thresholds for Clrn2clarinet/del629 compound heterozygotes at P21, showing significantly elevated thresholds compared to Clrn2+/+, Clrn2clarinet/+ and Clrn2del629/+ control colony mates. All five Clrn2clarinet/del629 mice were found to not respond at the highest intensity stimulus (90 dB SPL) for at least one frequency/click stimulus. Data shown are mean ± s.d. ***p<0.001, one-way ANOVA (Please see Appendix supplemental table 1 for exact P-values). Regional plot of p values for SNP association with hearing difficulty around the CLRN2 gene locus. The genes within the region are annotated, and the direction of the transcripts is shown by arrows. Colouring is based on linkage disequilibrium (LD) across the region with the most associated SNP, rs35414371, shown in purple.
Apelin deletion delays VEGF-induced blood vessel sprouting.Figure 2(A) Left - Heatmap of RNA-Seq transcriptome analysis of CD31+/CD105+ endothelial cells sorted from tumors established by E0771 shRenilla (n=6) or shApln (n=3) cells orthotopically injected into C57BL/6J Apln+/+ or Apln-/- mice, respectively. Tumors were harvested day 25 post-injection and genes displayed are significantly deregulated at the adjusted p-value cut-off of 0.05. Right - Ingenuity Pathway Analysis for biological processes predicted to be decreased downstream of the differentially expressed genes. (B) Quantification of vessel sprouts (mean values ± S.E.M.) upon VEGF treatment (30ng/mL) of embryoid bodies (EB) derived from murine ES cells (mESCs) with sense integrations in the Apelin gene (Apln STOP) of the splice acceptor described in Appendix Figure S1B or Cre-reverted antisense (Apln GO) sister cells. Apln GO (Day 2 n=6; Day 4 n=40, Day 6 n=54, Day 8 n= 32, Day 10 n=35, Day 11 n=31), Apln STOP (Day 2 n=4; Day 4 n=15, Day 6 n=31, Day 8 n= 28, Day 10 n=32, Day 11 n=37); ** P<0.01, *** P<0.001, two-way ANOVA. Representative brightfield images and automated analysis of vessel sprouts by Definiens software are shown in the bottom panels. Scale bars = 200 μm (C) Differentially expressed genes using RNAseq transcriptome analysis of CD31+ endothelial cells (ECs) sorted from sprouting EBs from Apelin STOP cells stimulated with VEGF (30ng/mL) and DMSO (-Apln) and repaired Apelin GO sister cells stimulated with VEGF and Apelin (1000nM) (+Apln). VEGF target genes and angiogenesis-related genes, predicted by Ingenuity Pathway Analysis (IPA) software, are indicated by bars on the upper axis of the heatmap. GO terms were analyzed by DAVID on-line software.
Phagocytosis is required for A.Figure 6A BMDMs from WT, Dectin-1−/− or MyD88−/− mice were infected with swollen conidia (MOI = 1), and TNF-α was measured in the SN after overnight incubation. TNF-α levels were significantly reduced in Dectin1−/− and Myd88−/− BMDMs. B BMDMs were stimulated with swollen conidia (MOI = 5) or zymosan (50 μg/ml), and NFATc2 translocation was quantified by confocal microscopy 30 min after stimulation. Whilst almost complete abrogation of NFAT translocation was seen in Dectin1−/−macrophages stimulated with zymosan, NFAT responses to AF were unaffected. C-E J774A.1 macrophages were pre-treated with (C, D) the Syk inhibitor piceatannol or (E) a control or Syk-targeting siRNA (10 nM) before stimulation with swollen conidia (MOI = 1) or zymosan (50 μg/ml). (C) TNF-α was measured in the SN after overnight incubation. Syk inhibition significantly reduced swollen conidia-dependent or zymosan-dependent TNF-α levels. C-E J774A.1 macrophages were pre-treated with (C, D) the Syk inhibitor piceatannol or (E) a control or Syk-targeting siRNA (10 nM) before stimulation with swollen conidia (MOI = 1) or zymosan (50 μg/ml). (D) NFATc2 translocation was quantified by confocal microscopy. Syk inhibition impaired zymosan-dependent NFAT translocation, but did not affect AF-dependent NFAT translocation. C-E J774A.1 macrophages were pre-treated with (C, D) the Syk inhibitor piceatannol or (E) a control or Syk-targeting siRNA (10 nM) before stimulation with swollen conidia (MOI = 1) or zymosan (50 μg/ml). (E) Whole-cell lysates of Syk or Ctrl. siRNA-treated cells were separated by SDS-PAGE, followed by Western blotting, and membranes were probed with anti-Syk and anti-β-actin antibodies. F J774A.1 macrophages were pre-treated with piceatannol and infected with swollen conidia (MOI = 5). Phagocytosis was quantified by FACS 30 min after stimulation. Syk inhibition led to impaired phagocytosis of zymosan, but had no effect on phagocytosis of SC. G-I J774A.1 macrophages were pre-treated with cytochalasin D (CytoD, 10 μM) and infected with swollen conidia (MOI = 5) or zymosan (50 μg/ml). (G) NFATc2 translocation after 30 min of stimulation was quantified by confocal microscopy. G-I J774A.1 macrophages were pre-treated with cytochalasin D (CytoD, 10 μM) and infected with swollen conidia (MOI = 5) or zymosan (50 μg/ml). (H) For quantification of NF-κB translocation, nuclear extracts were separated by SDS-PAGE, followed by Western blotting. Membranes were probed with anti-NF-κB p65 and anti-HDAC1 antibodies. G-I J774A.1 macrophages were pre-treated with cytochalasin D (CytoD, 10 μM) and infected with swollen conidia (MOI = 5) or zymosan (50 μg/ml). (I) After overnight stimulation, TNF-α was measured in the SN by ELISA. Inhibition of phagocytosis with cytochalasin D led to impaired NFAT translocation in response to zymosan or AF, but not ionomycin (G). In addition, inhibition of phagocytosis lead to increased translocation of NF-κB (H) and increased levels of TNF-α in response to either zymosan or AF.
Rab11-FIP3 regulates immunological synapse symmetry and size.Figure 4JurkatT cells were transfected with either control or FIP3.1 siRNA. A: Cells were allowed to form immunological synapses with SEE-pulsed Raji cells for 30 min and endogenous Lck was detected by immunofluorescence. 3D confocalimages were post-treated by deconvolution. A 0.4-µm-thick medial stack is shown. B, C: The minimal angle formed by the axis connecting the synapse edges and the axis connecting the mass centers of the T cell and the APC nuclei was measured, as schematized in B. D: Transfected Jurkat T cells were allowed to spread on anti-CD3-coated coverslips for the indicated time, and F-actin was detected with FITC-Phalloidin. A single optical section at the level of the contact surface is shown. E, F: Population analyses of the spreading area of cells at the level of the contact surface. Each dot corresponds to one cell. Horizontal bars represent the mean ± SEM. Mann-Whitney test. Images are representative of three experiments. Bar, 5 µm. G: FIP3 expression was analyzed by Western blot. Quantification of bands was performed with ImageJ and normalized to a non-specific band of 35 kDa used as loading control.
MIR376A overexpression blocked autophagy in Huh-7 cells.Figure 3(A) MIR376A blocked GFP-LC3 dot formation under starvation condition. (A) MIR376A blocked GFP-LC3 dot formation under starvation condition. (B) Quantitative analysis of experiments in A (mean ± S.D. of independent experiments, n = 3, ***p<0,01). (C) Overexpression of MIR376A resulted in decreased autophagic flux in Huh-7 cells. Starvation-induced conversion of LC3-I to LC3-II was analyzed. Tests were performed in the presence or absence of E64d (10 µg/ml) and Pepstatin A (10 µg/ml) (E+P). LC3-II/LC3-I densitometric ratios were marked. ACTB was used as a loading control.
Figure 4(a) A schematic of the workflow for the single nuclei RNA-seq of cortical tissue from Emx1-Cre/Trim28-KO animals and their littermates. (b) UMAP showing the unbiased clustering analysis with seven different cell clusters. (c-d) UMAP and pie-charts showing the distribution of Trim28-KO and control cells over the seven different clusters. There were no major differences in proportions of the different cell clusters between Emx1-Cre/Trim28-KO animals and controls. (e-h) A selection of significant cell type specific changes in gene expression between Emx1-Cre/Trim28-KO animals and controls as revealed by single-nuclei RNA-seq. The black dots represent the mean value value (Wilcoxon rank sum test, (p-adj value < 0.01), n=2.
Figure 1SQR = sulfide:quinone oxidoreductase; TR = thiosulfate reductase; SDO = sulfur deoxygenase or ETHE1; SO = sulfite oxidase or SUOX; TST = thiosulfate sulfurtransferase or rhodanase.
mGluR and NMDAR impact synaptic-dendritic ATP/ADP ratio with distinct Kinetics (A) Schematic depicting the experimental workflow for the measurement of the ATP/ADP ratio using an imaging-based approach either from somatic or from dendritic compartments of cortical neurons (DIV 15) plated at low-density.Figure 2(A) Schematic depicting the experimental workflow for the measurement of the ATP/ADP ratio using an imaging-based approach either from somatic or from dendritic compartments of cortical neurons (DIV 15) plated at low-density. (B) Representative neurons showing changes in the PercevalHR fluorescence ratio (~ATP/ADP ratio) in somatic compartments on the bath application of DHPG and NMDA. Scale bar 10μm. (C) Representative neurons showing changes in the PercevalHR fluorescence ratio (~ATP/ADP ratio) in dendritic compartments on the bath application of DHPG and NMDA. Scale bar 10μm. (D) Average traces depicting the time course of the normalized somatic ATP/ADP ratio on the basal conditions, on DHPG treatment, and on NMDA treatment. The curved arrow on the top indicates the time when the agonists were added and kept in the imaging media. Data presented as mean +/- SEM. Values in all other groups were normalized to the 0 min group for the corresponding experiment and all the data points are represented as a fraction of the initial time point. n= 5-6 cells from ≥3 independent platings. (E) Average traces depicting the time course of normalized dendritic ATP/ADP ratio on the basal condition, on the basal condition in the presence of anisomycin, on DHPG treatment, on NMDA treatment, on DHPG treatment in the presence of anisomycin and on NMDA treatment in the presence of anisomycin. The curved arrow on the top indicates the time when the agonists were added and kept in the imaging media. Data presented as mean +/- SEM. Values in all other groups were normalized to the 0 min group for the corresponding experiment and all the data points are represented as a fraction of the initial time point. n= 6-9 cells from ≥3 independent platings. (F) Schematic depicting stimulation protocol in cortical synaptoneurosomes for quantification of the synaptic ATP level. (G) Line graph showing the average normalized synaptic ATP level at various time points after DHPG treatment until 5 minutes of recovery in the presence or absence of anisomycin. Data presented as mean +/- SEM, *p<0.05, **p<0.01, ****p<0.0001 for comparison with 0 minute. ##p<0.01 and ####p<0.0001 for comparison between DHPG + anisomycin. Values in all other groups were normalized to the 0 min group for the corresponding experiment and all the data points are represented as a fraction of the initial time point. n≥ 5 animals per group. (H) Line graph showing the average normalized synaptic ATP level at various time points after NMDA treatment until 5 minutes after recovery in the presence or absence of anisomycin. Data presented as mean +/- SEM, **p<0.01 for comparison with 0 minutes. Values in all other groups were normalized to the 0 min group for the corresponding experiment and all the data points are represented as a fraction of the initial time point. n≥ 4 animals per group.
Figure 1A) Left panel: experimental strategy. Hematopoietic stem cells (HSPC) and progenitors were characterized and isolated using specific sets of surface markers. All cells express CD34. Upon differentiation, progenitors start to express CD38 in contrast to HSPC (blue). Progenitors engaged in the myeloid (magenta) and lymphoid (green) pathways express respectively CD33 and CD19 markers. Right panel: FACS gating strategy to isolate HSPC (further referred as CD38- (blue box), and cells engaged in myeloid and lymphoid differentiation pathways (referred to as CD33+ [magenta box] and CD19+ [green box], respectively). B) For each population, equatorial Z stacks of two representative nuclei are shown in the left panel (chromatin is shown in blue (DAPI staining) and nuclear envelop in white (Sun2 staining). Scale bar: 5 µm. The corresponding 3D reconstructions are presented in the right panel. Convex and non-convex surfaces are shown in blue and yellow, respectively. C) Nucleus-invagination ratio is defined as the ratio of the non-convex area over the total nucleus surface area. Nuclei are larger and deformed in CD33+ (magenta, n=106) than CD38- and CD19+ cells (blue [n=120] and green [n=115], respectively; 3 independent experiments; Bars correspond to mean ± SD; ****: p<0.0001, Mann-Whitney test; n.s: non significant).
Acidic GKs are stronger aggregation breakers, are more conserved and more enriched in the flanks of strong APRs than basic GKs.Figure 2A) Boxplots showing GK effect - the difference between TANGO score and PureTANGO score - per charged GK, and per position with reference to the APR. Negative numbers indicate N-terminal positions, positive numbers refer to C-terminal positions. The upper whiskers indicate the largest value no further than 1.5 times the Inter-Quartile Range (IQR) from the upper hinge, the lower whiskers show the smallest value at least 1.5 * IQR from the lower hinge. Notches extend 1.58 * IQR / sqrt(n) from either side of the median and represent a 95% confidence interval for the median value. Significance was determined through Kruskal-Wallis test with a post-hoc Wilcoxon analysis for pairwise testing and Bonferroni correction for multiple testing. Adjusted p-values are indicated for each comparison. The number of observations per group is indicated beneath each box. B) Log(odds enrichment) scores for charged GKs in the flanks of the 30 % strongest versus the 30 % weakest APRs in the E. coli cytoplasmic proteome. Whiskers indicate 95 % confidence intervals for no enrichment as determined through bootstrapping analysis. C) Percentual difference in non-synonymous mutation rate in E. coli for GK versus background i.e. versus the corresponding residue in non-gatekeeper positions. D) Percentual difference in non-synonymous mutation rate in mammalian species for GK versus background i.e. versus the corresponding residue in non-gatekeeper positions.
Figure 5Comparison of triplet score (≥5% S/N) following HCD of unique phosphopeptides (5% FDR) identified from UPAX separated tryptic digests of HeLa cell derived phosphopeptides. Site of phosphorylation (ptmRS score ≥ 0.90) is indicated. % of phosphopeptides exhibiting either no neutral loss (Triplet =0), or neutral loss of any 1 (Triplet = 1), 2 (Triplet =2), or 3 ions from the precursor (∆80, ∆98 and/or ∆116 amu). Distribution of triplet score following HCD fragmentation as a function of site localisation confidence (ptmRS score ≥ 0.75, ≥ 0.90, ≥ 0.95, ≥ 0.99) for unique singly phosphorylated peptide as a function of the residue phosphorylated. Numbers of phosphopeptides (ptmRS ≥ 0.90) exhibiting different combinations of the three neutral loss species (∆80, ∆98 and/or ∆116 amu from precursor) for each of the phosphorylated residues.
Monomeric mutant FICD promotes BiP AMPylation.Figure 1A Immunoblot of endogenous BiP resolved by native-PAGE from lysates of CHO-K1 S21 wild-type (wt) or FICD-/- cells either transiently overexpressing wild-type FICD (high expression level; Hi) or mutant FICDE234G (E/G) or stably expressing recombinant wild-type FICD (low expression level; Lo). The cells in lanes 1-4 were mock transfected. Where indicated cells were exposed to cycloheximide (CHX; 100 µg/mL) for 3 h before lysis. Unmodified ('A') and AMPylated ('B') monomeric and oligomeric (II and III) forms of BiP are indicated. Immunoblots of the same samples resolved by SDS-PAGE report on FICD, total BiP and eIF2α (loading control). Data representative of four independent experiments are shown. B Wild-type FICD forms homomeric complexes in vivo. Immunoblots of orthogonally-tagged wild-type and Leu258Asp mutant FICD in the input cell lysate and following recovery by pull-down with streptavidin (recognising the AviTag) or anti-FLAG antibody. Proteins were detected with fluorescently-labelled streptavidin (StrepIR800) or FLAG antibody. Data representative of three independent experiments are shown. C Immunoblot of endogenous BiP from transfected CHO-K1 S21 FICD-/- cells (as in A). Note that cells expressing monomeric FICDL258D accumulate AMPylated BiP. Data representative of three independent experiments are shown. D Size-exclusion chromatography (SEC) analysis of wild-type and mutant FICD proteins (each at 20 µM). The elution times of protein standards are indicated as a reference. Note that the Leu258Asp mutation monomerises FICD, while Gly299Ser causes partial monomerisation. E Comparison of the signal-averaged sedimentation coefficients of wild-type (red) and monomeric mutant FICDL258D (blue), as measured by analytical ultracentrifugation. A fit for monomer-dimer association (solid red line), constrained using the average value for the monomeric protein (dashed line, 2.82 S, Sw,20 = 3.02 S), yielded a Kd of 1.2 nM with a 95% confidence interval between 1.1 to 1.4 nM and a value of 4.08 S for the dimer (Sw,20 = 4.36 S). The fitted data points are from three independent experiments. F Autoradiograph of BiP, AMPylated in vitro by the indicated FICD derivatives, with [α-32P]-ATP as a substrate and resolved by SDS-PAGE. Proteins in the gel were visualised by Coomassie staining. A representative result of three independent experiments is shown. The graph shows the quantified relative BiP-AMP signals and SD bars generated by wild-type (wt) FICD and the indicated monomeric mutants.