EMBO/sd-character-level-ner huggingface dataset:
Characterization of single and double knock-out cell lines A Schematic representation of AKAP450, PCNT and CDK5Rap2 proteins illustrating localization of the epitopes recognized by the antibodies and the sequences targeted by the siRNAs used in this study.Figure 1Schematic representation of AKAP450, PCNT and CDK5Rap2 proteins illustrating localization of the epitopes recognized by the antibodies and the sequences targeted by the siRNAs used in this study. Representative WBs of RPE-1 wild-type (WT) cells and the two selected KO clones for AKAP450 (akap KO), PCNT (pcnt KO) and CDK5Rap2 (c5rap2 KO) probed with the indicated antibodies. GM130 was used as a loading control Confocal IF images of RPE-1 WT, single KO (akap KO, pcnt KO and c5rap2 KO) and double KO (pc-ak-2KO, left panels; pc-c5-2KO, right panels) cells stained with the indicated antibodies. The yellow dashed line indicates the nucleus contour (N) and the arrows point the centrosome (CTR). GA marks the Golgi Apparatus. Scale bars: 5 μm. Representative WB of RPE-1 WT cells and the two selected PCNT/AKAP450 (pc-ak-2KO) and PCNT/CDK5Rap2 (pc-c5-2KO) double knockout mutated clones probed with the indicated antibodies. GM130 was used as a loading control Representative WB of RPE-1 WT cells and the indicated single or double KO cell lines probed with anti-AKAP450, PCNT and CDK5Rap2 antibodies (left). Quantification of signal intensity from three independent WB experiments is shown at right. # indicates KO proteins. The arrow points the dramatic decrease of CDK5Rap2 levels in pc-ak-2KO cell line. Hsp70 was used as a loading control
Figure 6Three-dimensional CT analyses of BMD, BV/TV, Tb.N, and Tb.Sp in trabecular bone from Vehicle (n=5 independent biological replicates) and ROS (n=6 independent biological replicates) model of AdipoqCre; ranklfl/fl (Rankl-/-) and ranklfl/fl (Rankl+/+) mice. Scale bar=1 mm. Data were compared using an unpaired t‐test (** indicates P < 0.01), error bars are standard deviations.  TRAP staining and statistical analyses of numbers of osteoclasts in the trabecular bone from Vehicle (n=6 and 5 independent biological replicates) and ROS (n=6 and 6 independent biological replicates) treatment. Scale bar=100 µm. Data were compared using an unpaired t‐test (** indicates P < 0.01), error bars are standard deviations. n=5 independent microscopic vision fields in (D). OCN staining and statistical analyses of the number of osteoblasts in femurs from Vehicle (n=6 and 5 independent biological replicates) and ROS (n=6 and 6 independent biological replicates) treatment. Scale bar=50 µm. TB: trabecular bone. Data were compared using an unpaired t‐test (** indicates P < 0.01), error bars are standard deviations. n=5 independent microscopic vision fields in (F).
Figure 2Seedlings of ChWT and AtWT were grown for 3 days in W then either kept under the same conditions or transferred to W+FR (R:FR, 0.02) for the indicated times. Plant material was harvested every 24 h. Transcript abundance of HFR1 and PIF7 was normalized to three reference genes (EF1α, SPC25, and YLS8). Expression values are the means ± SE of three independent biological replicates relative to the data of AtWT grown in continuous W at day 3. Asterisks mark significant differences (2-way ANOVA: ** p-value <0.01, *** p-value <0.001) between ChWT and AtWT when grown under W (black asterisks) or W+FR (red asterisks).
The Rosa26 knock-in dCas9 Activator Mouse (dCAM) A, Knock-in of a conditional dCas9-VPR-P2A-SAM expression cassette into the Gt(ROSA)26Sor locus enables flexible multiplexed endogenous gene activation in vitro and in vivo.Figure 1A, Knock-in of a conditional dCas9-VPR-P2A-SAM expression cassette into the Gt(ROSA) 26Sor locus enables flexible multiplexed endogenous gene activation in vitro and in vivo. The cassette is composed of a ubiquitous CAG promoter, a stop cassette (Stop LoxP-puro-stop-LoxP) followed by the FRT flanked SAM activator, a P2A peptide and dCas9-VPR. dCAM x Gfap-Cre mice enable astrocyte-specific dCas9 and activator expression. For in vivo activation, six sgRNAs, driven by different Pol III promoters (H1, hU6, mU6 and 7SK) and the marker gene FLEx-GFP, or split-FLEx-GFP respectively, driven by a CBh promoter are delivered by AAV. B, Multiplexed activation of Ascl1, Lmx1a, NeuroD1 and of Ascl1, Lmx1a, Nr4a2 in primary astrocytic cultures. n=3, representative experiment from 2-3 independent experiments, additional data in supplement. Activation levels are depicted as fold change between cells transfected with and without sgRNAs. All levels were normalized to β-Actin. Error bars represent mean ± SD between technical replicates. C, Experimental Outline: 6-hydroxydopamine (6-OHDA-HCl) is stereotactic injected into the medium forebrain bundle to induce nigrostriatal dopaminergic neurodegeneration. Two weeks later, an AAV expressing gRNAs and a fluorescent reporter is injected into the dorsal striatum. Animals were analyzed after 5 and 13 weeks post injection (wpi) including behavior tests, electrophysiological measurements and immunohistochemistry. Abbreviations: Puro - puromycin resistance, SAM - synergistic activation mediator (MS2: MS2 bacteriophage coat protein, p65: p65 subunit of human NF-ĸB, HSF1: Heat shock factor 1), P2A - 2A self-cleaving peptide, dCas9 - deadCas9 (nuclease-deficient), VPR - VP64: 4x VP16 herpes simplex virus protein vmw65, p65, Rta: Regulator of transcriptional activation, CAG - CMV early enhancer/chicken β actin promoter, CBh - chicken ß-actin hybrid promoter. SgRNA expression is driven by the different Pol III promoters (H1, hU6, mU6 and 7SK).
lnc-SMaRT depletion impacts on C2C12 transcriptome.Figure 2A Gene expression heatmap showing the hierarchical clustering of protein-coding genes whose expression is altered upon lnc-SMaRT depletion. Expression values, calculated as RPKMs, were log2-transformed and mean centered. Only genes with an average RPKM between 10 and 1000 were plotted. B Volcano plot describing the differential gene expression between si-SCR and si-SMaRT treated C2C12 samples. For each gene, log2 of fold-change versus -log10 of the unadjusted p-value is plotted. Points in red represent differentially expressed genes (FDR adjusted p-value < 0.05). C Word cloud representing the Gene Ontology Biological Process terms enriched (Benjamini-Hochberg corrected p-value <0.05) in the lists of genes up-regulated (UP) or down-regulated (DOWN) upon lnc-SMaRT knockdown. The size of the words correlates with the Benjamini-Hochberg corrected p-value. D Western blot on protein extract from control and lnc-SMaRT overexpressing C2C12 stable cell lines collected after one day of differentiation. CASP3 antibody was used. ACTN was used as loading control. Representative results from three independent experiments are shown.
Figure 5A Western blot analysis of phosphorylated p53 (ser15), p53, LC3I/II, and GAPDH in WT mouse platelets. Mouse platelets were treated high glucose (25mM) with or without CCCP (10µM).B Quantification analysis of phosphorylated p53 (ser15) and LC3 II (pp53 in HG; **p=0.009 vs WT group, pp53 in HG/CCCP ; *p=0.022 vs HG group, LC3 II in HG/CCCP ; *p=0.028 vs HG group, n=3 for each group). C ΔΨm and platelet apoptosis were measured by flow cytometry analysis in WT or WT_H2O2 or WT_ H2O2/3MA in mouse platelets. ΔΨm was detected using TMRM and apoptosis levels were assessed with Annexin-V (PS externalization). Representative of n=3.D Graph indicates the percentage of TMRM positive cells in total cell population (H2O2; **p=0.002 vs. not treated group, H2O2/3MA; **p=0.008 vs. not treated group, NS means no significance, n=3).E Graph indicates the percentage of Annexin V positive cell in total cell population (H2O2; NS, p=0.058 vs. not treated group, H2O2/3MA; **p=0.004 vs. not treated group, **p=0.008 vs. H2O2 group, NS means no significance, n=3). F Representative western blot analysis of LC3 I/II in analysis in WT or WT/H2O2 or WT/H2O2/3MA in mouse platelets (n=3). G Representative western blot analysis of phosphorylated p53, and Parkin in Parkin -/- mice compared to WT. Quantification analysis of phosphorylated p53 and Parkin (Parkin; **p=0.0001 vs. WT, pp53; *p=0.019 vs. WT, n=4). H ΔΨm and platelet apoptosis were measured by flow cytometry analysis in WT or WT_H2O2 and Parkin -/- or Parkin -/-_H2O2 mouse platelets. ΔΨm was detected using TMRM (WT_ H2O2; **p= 0.002 vs. WT group, Parkin-/-_ H2O2; **p= 1.61525E-06 vs. Parkin-/- group, n=3)I Apoptosis level was assessed with Annexin-V (PS externalization). Graph indicates the percentage of Annexin V positive cell in total cell population (Parkin-/- : *p=0.010 vs. WT group, Parkin-/-_ H2O2 ;**p= 0.008 vs. WT_ H2O2; group, Parkin-/-_ H2O2; **p=0.001 vs. Parkin-/- group, NS means no significance n=3) J Western blot analysis in WT and Parkin -/- demonstrating the inability to induce LC3 despite the addition of H2O2. Shown graphically are the LC3II to LC3I ratios (WT_ H2O2;*p=0.028 vs. WT group, n=3)
Figure 4(A) Extracellular D-serine concentrations in cortex were detected by enzyme-based microelectrode biosensors. (B, C) High performance liquid chromatography was performed to quantify total D-serine and L-serine contents in mouse brain of two genotypes. APP-KO mice were fed with D-serine over one month. One-way ANOVA was used for analysis followed by Bonferroni's multiple comparisons test and n>6 mice per group; * p<0.05, ** p<0.01 as compared to WT.
a) Left, RPE cells with stable expression of GFP–LC3 following mock- or myosin-VI-siRNA transfection were processed for confocal immunofluorescence microscopy and immunolabelled for Tom1/Tom1L2 (red).figf8(a) Left, RPE cells with stable expression of GFP-LC3 following mock- or myosin-VI-siRNA transfection were processed for confocal immunofluorescence microscopy and immunolabelled for Tom1/Tom1L2 (red). Nuclei (blue) were labelled with Hoechst. The insets show higher magnifications of the areas outlined in the main panels and the arrows highlight areas of complete overlapping co-localization and arrowheads highlight adjacent localization of Tom1 relative to LC3. Right, quantification was performed on >75 cells for the relative position (adjacent or complete overlap) of Tom1-positive vesicles in relation to LC3-positive vesicles. The results are represented as the average number of Tom1-positive vesicles per cell categorized by their relative position to LC3 (±s.d.; n = 3). (b) GFP-LC3-expressing RPE cells were depleted of myosin VI by siRNA. Cells were pulse labelled with Texas-red-dextran (red) for 4 h, before chase into fresh medium containing 1 μM MG132 for 2 h. Cells were processed for immunofluorescence microscopy and immunostained for GFP (green). Nuclei were labelled with Hoechst (blue). The insets represent higher magnifications of the areas outlined in the main panels. (c) Mander's overlap coefficients for the degree of LC3 signal co-localizing with dextran were calculated using Volocity software. The results represent >20 cells from n = 3 independent experiments and are illustrated as a box and whisker plot. The box represents the median, 25th and 75th percentiles and whiskers represent the maximum and minimum. (d) RPE cells stably expressing GFP-LC3 were depleted of myosin VI and Tom1 by siRNA. Cells were pulse-labelled with Texas-red (TR)-dextran for 16 h followed by a chase period of 4 h. Cells were processed for immunoelectron microscopy and labelled with 15 nm gold particles against GFP-LC3 and 5 nm gold particles against Texas-red-dextran. Scale bars, 20 μm (a,b); 200 nm (d).
Quantification of mRNA and protein dynamics under oscillatory and rising p53 levels (a) Schematic showing the negative feedback loop between p53 and MDM2 and the induction of p53 oscillatory or rising dynamics using irradiation with or without the MDM2 inhibitor Nutlin-3a, respectively.Figure 1(a) Schematic showing the negative feedback loop between p53 and MDM2 and the induction of p53 oscillatory or rising dynamics using irradiation with or without the MDM2 inhibitor Nutlin-3a, respectively. Samples for mRNA-seq and mass-spectrometry were collected at the indicated time points following radiation. (b-c) Western blot for p53 and select p53 targets post-radiation in (b) oscillatory and (c) rising conditions. Actin is shown as a loading control. (d-e) Average levels of (d) mRNA quantified by RNAseq (red) or qRT-PCR (grey) or (e) protein quantified by mass spectrometry (light green) or western blot (grey) for select p53 target genes under oscillatory p53. Data information: , n=2 biological replicates, error bars represent std dev. (f-g) Average levels of (f) mRNA quantified by RNAseq (blue) or qRT-PCR (grey) or (g) protein quantified by mass spectrometry (dark green) or western blot (grey) for select p53 target genes under rising p53. Data information: n=2 biological replicates, error bars represent std dev.
The combined functions of Jmjd2a and Jmjd2c are essential for ESC self-renewal.Figure 2A-D. WB and growth curves of 2ac (A), 2abc (B), 2ab (C) and 2bc (D) ESCs cultured in 2i medium and exposed to OHT as indicated. E. Flow cytometry profiles of 2ac ESCs pulsed with BrdU in 2i medium. The upper table shows the percentages of living cells (the subG1 fraction is omitted from the analysis), which can be classified as being in S (BrdU+), G1 (2N DNA content, BrdU-) or G2/M phase (4N DNA content, BrdU-). The percentages of dead cells (subG1, events with a <2N DNA content) is shown in red. F. RT-qPCR analyses for ESCs cultured in 2i medium. G-J. 2ac and 2abc ESCs were adapted to grow in serum-containing ESC medium, exposed to OHT as indicated and subsequently used for growth curves (G-H) and RT-qPCR analyses (I-J). The RT-qPCR data are also presented in Appendix Fig S2C-D with a zoom-in on the lower region of the y-axis.
Jmjd2a and Jmjd2c redundantly regulate histone methylation levels.Figure 5A. Density plots showing average ChIP-seq signals with 95% confidence intervals of the mean indicated in grey. y-axes show mean Tags per Million (TPM). Data were obtained using the 2ac ESCs line #4. TSSs were classified as 'Bound' if containing binding sites for both Jmjd2a and Jmjd2c within +/- 1kb (see Fig 4F), or 'Not bound' if neither protein binds within the same region. B. Heat map showing H3K9me3 ChIP-seq data for Jmjd2a/c bound TSSs (+/- 5kb) sorted according to read number in 2abc #13+OHT. C. ChIP-qPCR validations for selected Jmjd2a/c targets (see Fig 4G). Graphs show mean ± SD for technical triplicates and are representative of results obtained in at least 2 independent experiments.
a) Scatter plot depicting half-life measurements for individual cells expressing TDP43(WT)-Dendra2 (cyan, n = 206) and TDP43A315T-Dendra2 (red, n = 251).figf3(a) Scatter plot depicting half-life measurements for individual cells expressing TDP43(WT)-Dendra2 (cyan, n = 206) and TDP43A315T-Dendra2 (red, n = 251). *P = 0.0029, U = 11,797, Mann-Whitney test. b) Probability density plot for single-cell half-life measurements, demonstrating a reduced half-life of TDP43A315T-Dendra2 (red, n = 251), compared to TDP43(WT)-Dendra2 (cyan, n = 206; **P = 0.0007, two-sided Kolmogorov-Smirnov test). Values were pooled from eight wells per condition, with experiments performed in quadruplicate. (c,d) Probability density plots of single-cell half-life measurements for TDP43(WT)-Dendra2 (c) and TDP43A315T-Dendra2 (d). At 0.5 μM, all three of the compounds significantly reduced TDP43(WT)-Dendra2 half-life compared to vehicle control (DMSO, n = 110; FPZ, n = 96, f* P = 1 × 10−4; MTM, n = 129, m* P = 2 × 10−7; NCP, n = 111, n* P = 2 × 10−5, two-sided Kolmogorov-Smirnov test). The compounds also reduced TDP43A315T-Dendra2 half-life, in comparison to vehicle control (DMSO, n = 120; FPZ, n = 155, f* P = 2 × 10−9; MTM, n = 152, m* P = 0.004; NCP, n = 111, n* P = 0.005, two-sided Kolmogorov-Smirnov test). Colored hash marks represent values from individual neurons in b-d. Values were obtained from eight wells per condition, with experiments performed in triplicate.
Figure 5The biomass objective function (BOF) was defined using the BOFdat software (Lachance et al, 2019a) and experimental data from Matteau et al. (Matteau et al, 2020). The stoichiometric coefficients for the major cellular macromolecules were generated with BOFdat Step1 (left), the inorganic ions and coenzymes with BOFdat Step2 (middle) and the remaining components with BOFdat Step3 (right), which identifies the metabolites with the greatest impact on the BOF gene essentiality prediction accuracy Depiction of the metabolic context of four complete pathways supporting the output of BOFdat Step3. Metabolite names are shown in black and reaction names in grey. Boxes contain the predicted essentiality of the protein-coding genes associated with a given reaction following BOFdat Step2 (S2) and Step3 (S3), along with the observed essentiality (Obs). N/A corresponds to orphan reactions Sensitivity analysis of the iJL208 model to (c) growth-associated maintenance (GAM), (d) non-growth associated maintenance (NGAM), (e) sucrose uptake rate, (f) lactate and (g) acetate secretion rates, and (h) oxygen uptake rate. The light purple dotted line represents the corresponding rate at the predicted maximal growth rate in CSY (0.44 hr-1)
Figure 3(A) Phage sensitive PY79 (WT) cells were mixed with phage resistant BS12 (ΔyueB, PsigX-gfp) cells and the mixture was infected with SPP1, as illustrated. Infection was conducted at 2:1 (phages:bacteria) MOI and fluorescence intensity from PsigX-gfp (AU) was followed at 2.5 min intervals. Uninfected mixed population served as a control and its fluorescence was subtracted from the overall GFP signal of the infected culture. Shown is a representative experiment out of 3 biological repeats, and the average values and SD of 8 technical repeats. (B) Phage sensitive PY79 (WT) cells were infected with SPP1 at 2:1 (phages:bacteria) MOI, and placed in the outer ring of a transwell, as illustrated. Phage resistant BS12 (ΔyueB, PsigX-gfp) were placed in the inner ring. Fluorescence intensity from PsigX-gfp (AU) of the inner compartment was followed at 2.5 min intervals. Uninfected population served as a control, and its fluorescence was subtracted from the overall GFP signal of the infected culture. Shown is a representative experiment out of 3 biological repeats, and the average values and SD of 8 technical repeats. (C) ET26 (PsigX-sigX-gfp) cells were visualized by fluorescence microscopy. Shown are signal from SigX-GFP (cyan) (left panel), and an overlay image of phase contrast (grey) and signal from SigX-GFP (cyan) (right panel). Scale bar 1 μm. (D) BDR2637 (Pveg-mCherry) (WT, purple) and ET261 (∆yueB, PsigX-sigX-gfp) (cyan) cells were mixed, infected with SPP1 at 5:1 (phages:bacteria) MOI, placed on an agarose pad and followed by time lapse fluorescence microscopy. Shown are overlay images from mCherry (purple), SigX-GFP (cyan), and phase contrast (grey), captured at the indicated time points post infection. Scale bar 1 μm.
Figure 4A) Volcano plot representing the enrichment of proteins interacting with PID-2, isolated by immunoprecipitation of eGFP::PID-2 protein, followed by quantitative label-free mass spectrometry. As control, eGFP IPs were performed on protein extracts from wild-type, non-transgenic animals. For each IP-MS experiment, quadruplicates were measured and analysed. The dashed line reflects a significance threshold of p-value < 0.05 at two-fold enrichment. Volcano plot representing the enrichment of proteins interacting with PID-2, isolated by immunoprecipitation of eGFP::PID-2 protein, followed by quantitative label-free mass spectrometry. In this experiment, the endogenous PID-2 protein was immunoprecipitated, and pid-2(xf23) mutant protein extracts were used as control. C) Schematic representation of the predicted domain structure of PID-4 and PID-5. The eTudor domains were identified using HHpred The X-prolyl aminopeptidase domain was identified using BLAST Volcano plot , representing the enrichment of proteins interacting with PID-4, by immunoprecipitating endogenously tagged PID-4 protein. IPs from protein extracts from wild-type, non-tagged animals were used as control. Volcano plot, representing the enrichment of proteins interacting with PID-5, by immunoprecipitating endogenously tagged PID-5 protein. IPs from protein extracts from wild-type, non-tagged animals were used as control.
Figure 2Analyses of tubulin polyglutamylation (antibody: polyE) in extracts of different brain regions of wild type, Ccp1-/-, Ccp6-/- and Ccp1-/-Ccp6-/- mice with immunoblot. In 3-weeks old mice, hyperglutamylation is observed in cerebral cortex, cerebellum and hippocampus of Ccp1-/- and Ccp1-/-Ccp6-/- mice. In 2- and 5-month-old mice, hyperglutamylation is restricted to the cerebellum in Ccp1-/- mice, however it persists in all three brain regions of the Ccp1-/-Ccp6-/- mice (complete analysis in Fig. EV1; α- and β-tubulin bands indicated). Nissl-stained frontal sections of wild type, Ccp1-/-, Ccp6-/- and Ccp1-/-Ccp6-/- mice at 1 and 5 months, showing age-dependent thinning (arrow heads) of the cortex in Ccp1-/-Ccp6-/- mice (complete analysis in Appendix Fig. S2A). Quantification of the thickness of motor and somatosensory cortex of 1- and 5-month-old mice shown in Appendix Fig. S2. The single values shown in Appendix Fig. S2B were averaged, and values from each genotype-specific group were tested against the average values of the remaining three genotypes (Appendix Fig. S2C). Only the cortical thickness of 5-month-old Ccp1-/-Ccp6-/- mice is significantly decreased (mean ±SEM; Mann-Whitney t-test). Immunohistochemistry of brain sections with anti-MAP2 antibody for visualization of neurons (layer V) and apical dendritic (layer IV) and with anti-GFAP for reactive astrocytes (layer V). The complete analysis is shown in Fig. EV2A, EV3A. Scale bars: 50 µm. Quantifications of number of MAP2-positive neurons in layer V, and of number of apical dendrites in layer IV (Fig. EV2B) reveal reduced neuron number in layer V, and reduced dendritic density in layer IV of 5-month-old Ccp1-/-Ccp6-/- mice. Quantification of the number of reactive astrocytes in layer V (Fig. EV3B) shows a significant increase over wild type in Ccp1-/- and in Ccp6-/- mice, however a much stronger increase is seen in Ccp1-/-Ccp6-/- mice. Complete analyses are shown in Fig. EV2C, EV3C (mean ±SEM; student's t-test). Immunohistochemistry of brain sections stained with SMI-32 antibody (a representative section of one brain per genotype group is shown, complete analysis in Appendix Fig. S3). Neuronal SMI-32 labelling indicates increased axonal damage in the cortex of Ccp1-/-Ccp6-/- mice at 5 months. Scale bar: 100 µm. Schematic representation of the experimental paradigm applied in this figure.
Figure 3(A) Serum NfL levels in preataxic SCA3 subjects (cross-sectional data) were plotted over the time from the individually estimated ataxia onset. NfL levels increased significantly with proximity to the estimated onset (F(1,21)=39.68, p<.001, R2=0.64). For benchmarking the levels of preataxic subjects, the blue dashed line visualises the optimal cut-off for differentiating ataxic SCA3 subjects from controls in the pooled cohort (20.3 pg/ml, 99.0% sensitivity, 95.2% specificity). (B) To determine the time at which NfL levels become significantly increased in the preataxic stage of SCA3, NfL levels of preataxic carriers need to be related to NfL levels of controls at the same age, as NfL levels physiologically increase with age. For each preataxic subject, the difference between the measured NfL value (green dot) and the NfL value predicted for control subjects of the same age (solid blue line) was visualised by the length of the vertical green line. Standardisation of this difference relative to the NfL distribution in controls (C) In preataxic SCA3 subjects, NfL z-scores increased significantly (F(1,21)=30.78, p<.001, R2=0.58) with subjects approaching the expected age of onset. NfL levels of preataxic subjects were significantly increased compared to controls (i.e. z-score >1.96) 7.5 years before the expected onset, indicated by the non-overlapping 95% confidence intervals of SCA3 subjects (black solid line) and controls (blue dashed line).