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Image Search Results
Journal: Bioscience Reports
Article Title: Bafilomycin A1 activates HIF-dependent signalling in human colon cancer cells via mitochondrial uncoupling
doi: 10.1042/bsr20120085
Figure Lengend Snippet: Figure 1 Baf increases respiration in HCT116 cells through mitochondrial uncoupling (A) The O2 profiles in WT and SCO2 −/ −HCT116 cells treated with 0.25 μM Baf at 6 % hypoxia. Cells were loaded with an O2 sensing probe NanO2 and iO2 levels were monitored for 5 h. In control samples respiration was blocked with AA (10 μM). (B) Treatment with Baf partially depolarizes the mitochondrial membrane potential (m) in WT cells, as monitored by TMRM staining (20 nM in solution). (C) In SCO2 −/ −cells the m is reduced, as compared with WT. (D) A reduction in the m in SCO2 −/ −cells is not associated with a decrease in the mitochondrial size, as follows from the comparative analysis of MTG staining and VDAC1 protein levels. Bar represents 20 μm. Asterisks indicate statistical significance.
Article Snippet: Briefly,
Techniques: Control, Membrane, Staining
Journal: Bioscience Reports
Article Title: Bafilomycin A1 activates HIF-dependent signalling in human colon cancer cells via mitochondrial uncoupling
doi: 10.1042/bsr20120085
Figure Lengend Snippet: Figure 2 Stabilization of HIF-1α and HIF-2α in HCT116 cells upon Baf treatment (0.25 μM) is associated with mitochon- drial uncoupling (A) Western blot analysis demonstrates significant elevation in HIF-1α and HIF-2α levels in HCT116 WT cells treated with Baf for 5 h at 6 % O2. This effect is abolished by inhibiting mitochondrial respiration with AA. In the presence of DMOG, the level of HIF-1α and HIF-2α stabilization is similar in all samples, including those which are treated with Baf/AA. In the presence of CMA, HIF-1α and HIF-2α levels in WT cells are also increased significantly, yet to a lesser degree than upon Baf treatment. (B) Cellular ATP levels are reduced in WT cells treated with Baf/AA for 5 h at 6 % O2, regardless the presence of DMOG. Treatment with Baf in galactose ( + ) medium causes dramatic decrease in the ATP level. (C) The levels of PHD1, PHD3, VHL and ATP6V0C proteins are similar in WT and SCO2 −/ −cells, while the content of PHD2 in SCO2 −/ −cells is significantly lower than in WT control. Asterisks indicate statistically significant difference (∗P < 0.01 and ∗∗P < 0.001, Student’s t test) between the experimental samples and mock control (DMSO). Hash in (A) shows a significant difference between the effects of Baf and CMA.
Article Snippet: Briefly,
Techniques: Western Blot, Control
Journal: Bioscience Reports
Article Title: Bafilomycin A1 activates HIF-dependent signalling in human colon cancer cells via mitochondrial uncoupling
doi: 10.1042/bsr20120085
Figure Lengend Snippet: Figure 3 Nuclear localization and functional activity of HIF-1α in the HCT116 cells treated with Baf at 6 % O2 (A, B) Immunofluorescence analysis shows significant increase in nuclear HIF-1α staining in WT cells treated with Baf for 5 h. No effect of Baf or CMA on the nuclear HIF-1α accumulation is observed in SCO2 −/ −cells. Treatment with DMOG causes translocation of HIF-1 into the nuclei of both WT and SCO2 −/ −in an O2-independent manner. Nuclei are counterstained with DAPI. (C) Quantitative analysis of the data shown in (A, B) is performed by measuring HIF-1-specific fluorescence in the DAPI-positive regions. (D) DNA-binding analysis using TransAM® HIF-1 kit demonstrates an increase in HIF-1-HRE interaction in WT cells upon Baf treatment. (E) Treatment with Baf activates ‘hypoxia-specific’ gene expression in WT cells, as demonstrated using RT–PCR analysis. Data are presented as the ratio between mRNA levels in treated and non-treated cells. (F) Western blot analysis shows that PHD2 protein level is increased in WT cells treated with Baf and DMOG; however no increase in PHD2 levels in SCO2 −/ −cells is observed. Asterisks indicate statistically significant difference between the experimental samples and mock control (DMSO).
Article Snippet: Briefly,
Techniques: Functional Assay, Activity Assay, Staining, Translocation Assay, Binding Assay, Gene Expression, Reverse Transcription Polymerase Chain Reaction, Western Blot, Control
Journal: iScience
Article Title: Simulating cell-free chromatin using preclinical cancer models for liquid biopsy applications
doi: 10.1016/j.isci.2025.114113
Figure Lengend Snippet: MNase treatment of media from preclinical models reproducibly generates nucleosomal distributions from cfChromatin (A) HCT116-conditioned media without (left) or with (right) MNase treatment shows enrichment for mono- and oligo-nucleosome-sized cfDNA fragments. LM, lower marker; UM, upper marker. (B) MNase treatment generates significantly different proportions of mono-, di-, and tri-cell-free nucleosomes compared to no nuclease treatment, reproducible across various 2D and organoid culture models (CAMA-1 and MCF7 = breast adenocarcinoma, HCT116 = colorectal carcinoma, A549 = lung adenocarcinoma, SU-DHL-6 = diffuse large B cell lymphoma, BPTO.95 and DCBPTO.66 = breast cancer patient-derived tumor organoids, BXTO.64 = breast cancer patient-derived xenograft-derived organoid). Paired t test for fragments (<200 bp, p = 1.53 × 10 −7 ; 200–400 bp, p = 5.05 × 10 −4 ; 400–600 bp, p = 1.44 × 10 −3 ; >600 bp, p = 6.07 × 10 −8 ). Results from (B) are extracted from the BioAnalyzer traces shown in B. (C) HCT116 (top) and CAMA-1 (bottom) media samples were treated with a fixed concentration of MNase over a 0- to 30-min time course. The proportion of mononucleosome-sized fragments increases with digestion time, with a small fraction of mononucleosomes at earlier time points relative to later.
Article Snippet: Purified, pre-sheared, and double size-selected naked genomic DNA (gDNA) from SW48 cells and media-derived cfChromatin from
Techniques: Marker, Derivative Assay, Concentration Assay
Journal: iScience
Article Title: Simulating cell-free chromatin using preclinical cancer models for liquid biopsy applications
doi: 10.1016/j.isci.2025.114113
Figure Lengend Snippet: Simulated cfChromatin reflects chromosomal variation and nucleosome profiles associated with gene expression and chromatin accessibility patterns (A) PCA of cfMNase-seq samples across various sample types and MNase digestion times ( n = 21) and samples from three external MNase-seq datasets for HCT116 ( n = 4) and MCF7 ( n = 8). The PCA was performed over 10,000 bp bins genome-wide. A visual representation of the 10,000 bp bin size is shown in A. Clusters were identified using k -means clustering. A silhouette score was calculated to validate clustering; cluster 1 (bottom right) had an average silhouette score of 0.92, cluster 2 (middle left) 0.94, and cluster 3 (top middle) 0.96. (B) Analysis of the association between cfMNase-seq coverage and gene expression around the TSS. Composite cfMNase-seq coverage profiles at TSSs falling within five FPKM levels shown for CAMA-1 (30-min digestion). Coverage is shown as average GC-corrected fragment midpoint coverage. The complementary analysis for all other models, information on the FPKM subsets, and coverage profiles across MNase digestion times are shown in . (C) Normalized central coverage metric from cfMNase-seq coverage profiles across different gene expression levels (Spearman correlation ρ = −0.85, p = 3.5 × 10 −16 ), shown for all samples with a 30-min digestion time. (D) Composite cfMNase-seq coverage profiles (mean ±95% confidence interval) at 6,260 sites with enriched chromatin accessibility for A549, shown for A549 and the average of BPTO.95, CAMA-1, DCBPTO.66, HCT116, MCF7, and SU-DHL-6 grouped together (all 30-min digestions). The complementary results for other model-specific enriched open chromatin sites are shown in D. (E) Normalized central coverage metric from cfMNase-seq coverage profiles across sites of enriched chromatin accessibility for each model (specific) compared to the average across the rest (others) (paired Wilcoxon signed-rank test p = 0.063).
Article Snippet: Purified, pre-sheared, and double size-selected naked genomic DNA (gDNA) from SW48 cells and media-derived cfChromatin from
Techniques: Gene Expression, Genome Wide
Journal: iScience
Article Title: Simulating cell-free chromatin using preclinical cancer models for liquid biopsy applications
doi: 10.1016/j.isci.2025.114113
Figure Lengend Snippet: Simulated cfChromatin reflects cancer-specific chromatin features and overcomes signal dilution in low-burden patient plasma (A) Analysis of the association between CAMA-1 xenograft plasma WGS and gene expression around the TSS, shown for five binned FPKM levels. (B) Composite coverage profiles at 117,917 ATAC-seq open chromatin sites from independent breast cancer patient samples within TCGA after filtering out PBMC signal. Coverage profiles are shown for breast cancer patient plasma ( n = 54) across varying tumor fractions (breakdown shown in ), simulated cfChromatin from organoids (BXTO.64, BPTO.95, and DCBPTO.66), simulated cfChromatin from cell lines (30-min digestion CAMA-1 and MCF7), and CAMA-1 xenograft plasma WGS. (C) Composite coverage profiles shown at 56,484 ATAC-seq open chromatin sites from independent colon adenocarcinoma patient samples within TCGA after filtering out PBMC signal. Composite profiles are shown for colorectal cancer patient plasma WGS ( n = 27) and cell-line-simulated cfChromatin from HCT116 (30-min digestion). (D) Composite coverage profiles shown at 65,427 ATAC-seq open chromatin sites from independent lung adenocarcinoma patient samples within TCGA after filtering out PBMC signal. Composite profiles are shown for lung cancer patient plasma WGS ( n = 9) and cell-line-simulated cfChromatin from A549. Composite site analysis for all individual samples and the corresponding metrics are in . Within-figure abbreviations: BRCA, breast cancer; TF, tumor fraction; CRC, colorectal cancer; LUAD, lung adenocarcinoma.
Article Snippet: Purified, pre-sheared, and double size-selected naked genomic DNA (gDNA) from SW48 cells and media-derived cfChromatin from
Techniques: Clinical Proteomics, Gene Expression
Journal: Cell Division
Article Title: FAT 10, a gene up-regulated in various cancers, is cell-cycle regulated
doi: 10.1186/1747-1028-1-20
Figure Lengend Snippet: FAT10 expression at the transcript level and promoter is cell-cycle regulation in HCT116 cells . (A) Cell-cycle profiles of HCT116 cells synchronized at the various cell-cycle stages: C – Asynchronous cells; G1-Cells synchronized to G1-phase with L-minosine; S-Cells syncrhonized to S-phase with Thymidine and G2/M-Cells synchronized to G2/M phase with nocodazole. (B) FAT10 protein expression normalized against β-actin protein levels. Top panel: Western blot of a representative experiment. Bottom panel: mean and standard deviation of results quantitated from Western blots from three independent experiments. *p < 0.05. (C) FAT10 mRNA transcript levels normalized against β-actin mRNA levels. Results shown are the mean and standard deviation from three independent experiments. *p < 0.05 and **p < 0.01. (D) Promoter-reporter construct used to assay FAT10 promoter activity. Various lengths of the FAT10 promoter drive the β-galactosidase reporter gene while the constitutive CMV promoter drives the EGFP to normalize for differences in transfection efficiencies. (E) Left panel – FAT10 promoter activity in HCT116 cells expressed as normalized β-galactosidase activity from 3 independent experiments. Middle Panel – Pictorial representation of the various regions of DNA upstream and downstream the transcription start site of the FAT10 gene that is cloned before the β-galactosidase gene. Right Panel – FAT10 promoter activity in HCT116 cells synchronized to the various cell-cycle stages (white: G2/M; black: S and Grey: G1) in HCT116 cells. Results shown are the mean and standard deviation from three independent experiments.
Article Snippet: Western blot analyses was performed on
Techniques: Expressing, Western Blot, Standard Deviation, Construct, Activity Assay, Transfection, Clone Assay
Journal: PLOS Genetics
Article Title: Co-depletion of NIPBL and WAPL balance cohesin activity to correct gene misexpression
doi: 10.1371/journal.pgen.1010528
Figure Lengend Snippet: (A) Cartoon depicting the roles of the two opposing cohesin regulators; NIPBL loads cohesin onto chromatin and is required for loop extrusion whereas WAPL opens the ring and removes it. (B) Fluorescent western blot to NIPBL (top band, see arrow) and WAPL in nuclear (nuc) and chromatin-bound (chr) subcellular protein fractionations of RNAi control, NIPBL, or WAPL depleted HCT116 cells. All bands are from the same blot. (C) Mean fold change (%) of NIPBL and WAPL bound to chromatin in each respective knockdown. Each symbol represents a biological replicate, error bars represent standard deviation. (D) Fluorescent western blot to RAD21 in nuclear (nuc) and chromatin-bound (chr) subcellular protein fractionations of RNAi control, NIPBL, or WAPL depleted HCT116 cells. All bands are from the same blot. (E) Mean fold change (%) of RAD21 bound to chromatin in each respective knockdown. Each symbol represents a biological replicate, error bars represent standard deviation. (F) Cell growth measured in 24-hour increments following RNAi or auxin treatment. Each bar represents the mean of 3 biological replicates and error bars represent the standard deviation. (G) Representative immunofluorescence images of mitotic cells stained for α-tubulin (cyan) and phospho-Histone H3 (PH3; red). Top row are HCT116 cells following 72 hour treatment with RNAi against control, NIPBL, or WAPL. Bottom row are HCT116-RAD21-AID cells -/+ auxin for 6 or 24 hours. Scale bar, 5μm. (H) Average percentage of abnormal mitotic cells in RNAi control, NIPBL, or WAPL depleted HCT116 cells and HCT116-RAD21-AID cells -/+ auxin for 6 or 24 hours. Each symbol represents a biological replicate, error bars represent standard deviation. (I) Oligopaint design for three neighboring domains at chr2:217-222Mb. (J) Representative FISH images for three domains at chr2:217-222Mb in RNAi control, NIPBL, and WAPL depleted HCT116 cells. Dashed line represents nuclear edge, scale bar, 5μm (above) or 1μm (below). (K) Cumulative frequency distribution of overlap between the neighboring domains D1 and D2 on chr2 in RNAi control (n = 1,170 chromosomes), NIPBL (n = 1,177 chromosomes), or WAPL (n = 1,136 chromosomes) depleted HCT116 cells. Two-tailed Mann-Whitney test, **** p < 0.0001. (L) Cumulative frequency distribution of overlap between the neighboring domains D2 and D3 on chr2 in RNAi control (n = 1,202 chromosomes), NIPBL (n = 1,284 chromosomes), or WAPL (n = 1,149 chromosomes) depleted HCT116 cells. Two-tailed Mann-Whitney test, **** p < 0.0001. (M) Change in contact frequency across 18 domain pairs in NIPBL, or WAPL depleted HCT116 cells and HCT116-RAD21-AID cells treated with auxin for 6 hours. Each dot represents the median of ≥ 4 biological replicates at each locus.
Article Snippet: For experiments in the HCT116-RAD21-AID cell line, 7.5x10 4 cells in supplemented McCoy’s 5A media -/+ 500 μM auxin were seeded in 384-well plates (
Techniques: Western Blot, Control, Knockdown, Standard Deviation, Immunofluorescence, Staining, Two Tailed Test, MANN-WHITNEY
Journal: PLOS Genetics
Article Title: Co-depletion of NIPBL and WAPL balance cohesin activity to correct gene misexpression
doi: 10.1371/journal.pgen.1010528
Figure Lengend Snippet: (A) Fluorescent western blot to NIPBL (top band, see arrow) and WAPL in nuclear (nuc) and chromatin-bound (chr) subcellular protein fractionations of RNAi control, NIPBL, WAPL, and double knockdown (dKD) depleted HCT116 cells. All bands are from the same blot with different exposures to optimize band detection. (B) Mean fold change (%) of NIPBL and WAPL bound to chromatin in the double knockdown condition. Each symbol represents a biological replicate, error bars represent standard deviation. (C) Fluorescent western blot to RAD21 in nuclear (nuc) and chromatin-bound (chr) subcellular protein fractionations of RNAi control and NIPBL and WAPL double knockdown (dKD) depleted HCT116 cells. All bands from the same blot. (D) Mean fold change (%) of RAD21 bound to chromatin in RNAi control, NIPBL, WAPL, and double knockdown (dKD) depleted HCT116 cells. Each symbol represents a biological replicate, error bars represent standard deviation. (E) Representative FISH images for three domains at chr2:217-222Mb in RNAi control, NIPBL, WAPL, and NIPBL and WAPL co-depleted HCT116 cells. Dashed line represents nuclear edge, scale bar, 5μm (above) or 1μm (below). (F) Cumulative frequency distribution of overlap between the neighboring domains D1 and D2 on chr2 in RNAi control (n = 2,172 chromosomes), NIPBL (n = 1,514 chromosomes), WAPL (n = 1,704 chromosomes), or dKD (n = 1,620 chromosomes) depleted HCT116 cells. Two-tailed Mann-Whitney test, **** p < 0.0001, ns = not significant (p = 0.79). (G) Cumulative frequency distribution of overlap between the neighboring domains D2 and D3 on chr2 in RNAi control (n = 2,188 chromosomes), NIPBL (n = 1,571 chromosomes), WAPL (n = 1,719 chromosomes), or dKD (n = 1,661 chromosomes) depleted HCT116 cells. Two-tailed Mann-Whitney test, **** p < 0.0001, ** p = 0.0014. (H) Change in contact frequency across 18 domain pairs in HCT116 cells depleted for NIPBL, WAPL, or both. Each dot represents the median of ≥ 4 biological replicates at each locus.
Article Snippet: For experiments in the HCT116-RAD21-AID cell line, 7.5x10 4 cells in supplemented McCoy’s 5A media -/+ 500 μM auxin were seeded in 384-well plates (
Techniques: Western Blot, Control, Knockdown, Standard Deviation, Two Tailed Test, MANN-WHITNEY
Journal: Biomedicines
Article Title: Small Molecule 20S Proteasome Enhancer Regulates MYC Protein Stability and Exhibits Antitumor Activity in Multiple Myeloma
doi: 10.3390/biomedicines10050938
Figure Lengend Snippet: MYC-luciferase reporter assay: ( A ) MYC-luciferase reporter assay in stable transfected HCT-116 cells treated with various concentrations of TCH-165 (EC 50 2.57 μM; 95% CI 2.46–2.95); ( B ) MYC-luciferase reporter assay in stably transfected HCT-116 cells treated with vehicle, TCH-165 (3 μM), bortezomib (BTZ, 10 nM) and bortezomib (2 h pre-incubation, 10 nM) followed by TCH-165 (3 μM). *** p < 0.001.
Article Snippet: The
Techniques: Luciferase, Reporter Assay, Transfection, Stable Transfection, Incubation
Journal: bioRxiv
Article Title: A scalable tumor-vasculature-on-chip for CAR T cell trafficking and efficacy studies
doi: 10.64898/2026.02.05.703975
Figure Lengend Snippet: (A) Schematic representation of the concept of immune checkpoint inhibition. Interaction between PD-1 and PD-L1 is blocked by Nivolumab which restores release of cytotoxic molecules by the CAR T cell (red) (B) Heatmap showing an overview of changes in tumor area and release of Granzyme B, IL-6, sPD-L1 and TNFα in HT-29-GFP and HCT116-GFP co-cultures in response to both single and combination treatments with Nivolumab, Ipilimumab and Temozolomide. Data used to generate the heatmap can be found in supplementary figures 7 and 8. (C,D) PCA plots showing response of HT-29-GFP and HCT116-GFP co-cultures to EpCAM-CD28 CAR T cells and treatments. (E) PCA plot showing the response of HT-29-GFP and HCT116-GFP co-cultures to combination treatments. Datapoints are scaled for the initial tumor cell density at the start of the co-culture. Pink circle indicates a small cluster of replicates consisting of HCT116-GFP cultures exposed to Nivolumab, Ipilimumab and Temozolomide. (F) Contribution and directionality of the different features of the principal components. (G) Heatmap showing morphometric parameters measured in the endothelial vessels of HT-29-GFP and HCT116-GFP co-cultures exposed to EpCAM-CD28 CART cells and treatments. Shown are fold changes against untreated controls. (H) Correlation distance matrix showing similarity between treatment responses based on patterns in relative change in tumor area, cytokine release and endothelial response. Data are presented as unsquared correlation distances, with values <1 indicating similarity in response while values >1 indicate distinct responses. A value of 1 means no relation between observed responses and a value of 0 indicates an identical response.
Article Snippet:
Techniques: Inhibition, Co-Culture Assay
Journal: bioRxiv
Article Title: A scalable tumor-vasculature-on-chip for CAR T cell trafficking and efficacy studies
doi: 10.64898/2026.02.05.703975
Figure Lengend Snippet: (A) HCT116-GFP tumor cells proliferate after introduction in the lumenised ECM and cause regression of the endothelial vessel over time. The fluorescent signal could be used to create a binary mask that was used to track growth of HCT116-GFP tumor cells from day 5 until day 8. Fluorescent area at each timepoint was normalized against the area at t=1 for each individual replicate (n=15). (B) Effect of treatments on HT-29-GFP tumor area. Data was normalized against the untreated control at each timepoint (n=8-16). (C) Effect of treatments on HCT116-GFP tumor area. Data was normalized against the untreated control at each timepoint (n=8-14). Data included in the graphs are presented as mean ± SD.
Article Snippet:
Techniques: Control
Journal: bioRxiv
Article Title: A scalable tumor-vasculature-on-chip for CAR T cell trafficking and efficacy studies
doi: 10.64898/2026.02.05.703975
Figure Lengend Snippet: (A) Analysis of cytokine levels (pg/mL) in media samples after 72 hours of co-culture of HT-29-GFP and HCT116-GFP tumor cells with EpCAM-CD28 CAR T cells. Co-cultures were untreated or exposed to Nivolumab, Ipilimumab and/or Temozolomide (n=8-14). (B) Cytokine levels in panel A were normalized against untreated controls per experiment resulting in fold changes that were used for principal component analysis (n=8-14). Data included in the graphs are presented as mean ± SD.
Article Snippet:
Techniques: Co-Culture Assay
Journal: bioRxiv
Article Title: A scalable tumor-vasculature-on-chip for CAR T cell trafficking and efficacy studies
doi: 10.64898/2026.02.05.703975
Figure Lengend Snippet: (A) Endothelial vessels were co-cultured with either HT-29-GFP or HCT116-GFP tumor cells and stained with VE-cadherin after the 72-hour co-culture. Co-cultures were either untreated or exposed to single or combination treatments with Nivolumab, Ipilimumab and Temozolomide in the presence of EpCAM-CD28 CAR T cells (E:T = 1:1). The endothelial response was assessed by analysis of VE-cadherin objects using a range of different morphological and spatial descriptors using IN Carta® (n=7-14) and normalization against respective untreated controls containing CAR T cells for each parameter. Data are presented as mean ± SD. (B) Heatmap showing change in morphometric parameters measured in endothelial vessels, co-cultured with either HT-29-GFP or HCT116-GFP tumor cells, upon addition of EpCAM-CD28 CAR T cells (E:T = 1:1). Data is presented as fold changes against respective controls without CAR T cells.
Article Snippet:
Techniques: Cell Culture, Staining, Co-Culture Assay