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Image Search Results
Journal: International Journal of Molecular Sciences
Article Title: Intraclonal Enrichment of IL-23 Receptor Complex Expression in the Proliferative Fraction of Chronic Lymphocytic Leukemia
doi: 10.3390/ijms27031202
Figure Lengend Snippet: IL-23R and IL-12R expression in ex vivo CLL cells assessed by flow cytometry. FSC is proportional to cell size and SSC reflects intracellular complexity/granularity (each dot represents one cell). Axes in marker plots show fluorescence intensity for the indicated markers. Percentages within gates indicate the fraction of cells relative to the parent population. Lymphocytes were identified by FSC/SSC properties, followed by doublet exclusion using pulse height vs. width plots. Within the single-cell gate, CD19 + /CD5 + CLL cells were selected. This population was further sub-divided into RF and PF based on the differential expression of CD184 and CD5. ( A ) Gating strategy used to identify lymphocytes, single cells, CD19 + CLL cells, and to discriminate proliferative fraction (PF) and resting fraction (RF); ( B ) surface expression of IL-23R, IL-12Rβ1, and IL-12Rβ2 receptor subunits in ex vivo CLL cells, shown for CD19 + PF and RF populations; ( C ) representative flow cytometry plots showing sorting of PF and RF populations from six CLL samples according to the gates indicated; ( D ) IL-12Rβ1 mRNA expression in sorted RF and PF cells, measured by RT-qPCR. Data are shown as mean ± SEM. Statistical significance of the difference is evaluated using the two-sided Wilcoxon signed-rank test. * p < 0.05; ** p < 0.01, ns: not significant. FSC: forward scatter; SSC: side scatter; PE Phycoerythrin; PE-Cy7: Phycoerythrin–Cyanine 7; APC: Allophycocyanin; AF 488: Alexa Fluor 488; PE VIO 770: near-infrared fluorochrome emitting in the ~770–780 nm range.
Article Snippet: The following monoclonal antibodies were used: mouse anti human IL-23R-PE (Cat. #FAB14001P, R&D Systems, Minneapolis, MN, USA), mouse anti
Techniques: Expressing, Ex Vivo, Flow Cytometry, Marker, Fluorescence, Single Cell, Quantitative Proteomics, Quantitative RT-PCR
Journal: International Journal of Molecular Sciences
Article Title: Intraclonal Enrichment of IL-23 Receptor Complex Expression in the Proliferative Fraction of Chronic Lymphocytic Leukemia
doi: 10.3390/ijms27031202
Figure Lengend Snippet: IL-23R and IL-12R expression in CLL cells after incubation with CpG and CpG + IL-15 for 72 h assessed by flow cytometry analyses. ( A ) Representative flow cytometry gating strategy used to identify CLL cells and to assess IL-23R and IL-12R complex expression under the indicated culture conditions (medium alone, CpG, or CpG + IL-15) after 72 h; ( B ) percentage of CLL cells expressing the IL-23R receptor subunit, IL-12Rβ1 receptor subunit, and IL-12Rβ2 receptor subunit following 72 h incubation under the indicated conditions; ( C ) percentage of CLL cells expressing the IL-23R complex and the IL-12R complex following 72 h incubation under the indicated conditions. Statistical significance of the difference is evaluated using the two-sided Wilcoxon signed-rank test. * p < 0.05; **** p < 0.0001. FSC: forward scatter; SSC: side scatter; PE Phycoerythrin; PE-Cy7: Phycoerythrin–Cyanine 7; APC: Allophycocyanin; AF 488: Alexa Fluor 488.
Article Snippet: The following monoclonal antibodies were used: mouse anti human IL-23R-PE (Cat. #FAB14001P, R&D Systems, Minneapolis, MN, USA), mouse anti
Techniques: Expressing, Incubation, Flow Cytometry
Journal: International Journal of Molecular Sciences
Article Title: Intraclonal Enrichment of IL-23 Receptor Complex Expression in the Proliferative Fraction of Chronic Lymphocytic Leukemia
doi: 10.3390/ijms27031202
Figure Lengend Snippet: Differential expression of IL-23R and IL-12R in CLL RF and PF subsets after stimulation with CpG and CpG + IL-15 assessed by flow cytometry analyses. ( A ) Representative flow cytometry gating strategy used to identify CLL cells and to distinguish RF and PF subsets, followed by assessment of IL-23R and IL-12R complex expression after 72 h incubation with CpG or CpG + IL-15; ( B ) percentage of RF and PF CLL cells expressing the IL-23R receptor subunit, IL-12Rβ1 receptor subunit, and IL-12Rβ2 receptor subunit after 72 h incubation under the indicated conditions; ( C ) percentage of RF and PF CLL cells expressing the IL-23R complex and the IL-12R complex after 72 h incubation under the indicated conditions. Each symbol represents an individual CLL sample; horizontal bars indicate mean ± SEM. Statistical significance of the difference is evaluated using the two-sided Wilcoxon signed-rank test. ** p < 0.01; **** p < 0.0001, ns: not significant. FSC: forward scatter; SSC: side scatter; PE Phycoerythrin; PE-Cy7: Phycoerythrin–Cyanine 7; APC: Allophycocyanin; AF 488: Alexa Fluor 488; BV421 = Brilliant Violet 421.
Article Snippet: The following monoclonal antibodies were used: mouse anti human IL-23R-PE (Cat. #FAB14001P, R&D Systems, Minneapolis, MN, USA), mouse anti
Techniques: Quantitative Proteomics, Flow Cytometry, Expressing, Incubation
Journal: Radiation research
Article Title: RENEB Inter-Laboratory Comparison 2021: The Gene Expression Assay
doi: 10.1667/RADE-22-00206.1
Figure Lengend Snippet: Overview of Participating Teams, Utilized Platforms, Number and Names of Genes or Gene Combinations Used, the Origin of Calibration Samples, and Further Details
Article Snippet: TaqMan assays SYBR Green assay , FDXR (Hs00244586_ml), GDF15 (Hs00171132_ml) , BAX (Hs00180269_ml), BBC3 (Hs00248075_ml), CDKN1A (Hs00355782_ml), DDB2 (Hs03044953_ml), FDXR (Hs00244586_ml), GADD45A (Hs00169255_ml), GDF15 (Hs00171132_ml), TNFSF4 (Hs00182411_ml) , CDKN1A-F: AGACCAGCATGACAGATTTCTACC; CDKN1A-R: CTTCCTGTGGGCGGATTAGG; DDB2-F: AGCATCACTGGGCTGAAGTT; DDB2-R: TGGTGTCTGAGCTGGCAAAA; FDX-F: TGGAGAGAACGGACATCACG; FDX-R: AGCCACACTGTCTTCACTCG , GADD45a for: ACTGCGTGCTGGTGACGAAT, GADD45a rev: GTTGACTTAAGGCAGGATCCTTCCA; FDXR for: TGGATGTGCCAGGCCTCTAC, FDXR rev: TGAGGAAGCTGTCAGTCATGGTT; CDKN1A for: CCTGGAGACTCTCAGGGTCGAAA, CDKN1A rev: GCGTTTGGAGTGGTAGAAATCTGTCA; MDM2 for: TATCAGGCAGGGGAGAGTGATACA, MDM2 rev: CCAACATCTGTTGCAATGTGATGGAA; 18S for: GCTTAATTTGACTCAACACGGGA, 18S rev: AGCTATCAATCTGTCAATCCTGTCC. , TaqMan ® assay: DDB2 (
Techniques: Generated
Journal: Radiation research
Article Title: RENEB Inter-Laboratory Comparison 2021: The Gene Expression Assay
doi: 10.1667/RADE-22-00206.1
Figure Lengend Snippet: Overview of Methodological Details of Either qRT-PCR (Quantitative Reverse Transcription Polymerase Chain Reaction) or Microarrays Used by the Contributing Teams
Article Snippet: TaqMan assays SYBR Green assay , FDXR (Hs00244586_ml), GDF15 (Hs00171132_ml) , BAX (Hs00180269_ml), BBC3 (Hs00248075_ml), CDKN1A (Hs00355782_ml), DDB2 (Hs03044953_ml), FDXR (Hs00244586_ml), GADD45A (Hs00169255_ml), GDF15 (Hs00171132_ml), TNFSF4 (Hs00182411_ml) , CDKN1A-F: AGACCAGCATGACAGATTTCTACC; CDKN1A-R: CTTCCTGTGGGCGGATTAGG; DDB2-F: AGCATCACTGGGCTGAAGTT; DDB2-R: TGGTGTCTGAGCTGGCAAAA; FDX-F: TGGAGAGAACGGACATCACG; FDX-R: AGCCACACTGTCTTCACTCG , GADD45a for: ACTGCGTGCTGGTGACGAAT, GADD45a rev: GTTGACTTAAGGCAGGATCCTTCCA; FDXR for: TGGATGTGCCAGGCCTCTAC, FDXR rev: TGAGGAAGCTGTCAGTCATGGTT; CDKN1A for: CCTGGAGACTCTCAGGGTCGAAA, CDKN1A rev: GCGTTTGGAGTGGTAGAAATCTGTCA; MDM2 for: TATCAGGCAGGGGAGAGTGATACA, MDM2 rev: CCAACATCTGTTGCAATGTGATGGAA; 18S for: GCTTAATTTGACTCAACACGGGA, 18S rev: AGCTATCAATCTGTCAATCCTGTCC. , TaqMan ® assay: DDB2 (
Techniques: Reverse Transcription, Polymerase Chain Reaction, Microarray, Isolation, Red Blood Cell Lysis, Control, Concentration Assay, Sequencing, cDNA Synthesis, Labeling, SYBR Green Assay, Multiplex Assay, TaqMan Assay, Real-time Polymerase Chain Reaction, Software, Extraction
Journal: Radiation research
Article Title: RENEB Inter-Laboratory Comparison 2021: The Gene Expression Assay
doi: 10.1667/RADE-22-00206.1
Figure Lengend Snippet: The Table Depicts Team Contributions (from Left to Right) Regarding Employed Genes, Reported Dose Estimates per Reference Sample 1–3, Differences among Reported and Reference Dose-Values as well as the Summed Absolute Difference over all Reference Samples (SAD), a Correct (Yes) or Incorrect (No) Order of Dose Estimates (from Lowest to Highest) Corresponding to Three Dose Categories [Unexposed, Low (1.2 Gy) and Highly Exposed (3.5 Gy)], the Use of FDXR Gene Expression Changes for dose estimation, as well as the Report Time
Article Snippet: TaqMan assays SYBR Green assay , FDXR (Hs00244586_ml), GDF15 (Hs00171132_ml) , BAX (Hs00180269_ml), BBC3 (Hs00248075_ml), CDKN1A (Hs00355782_ml), DDB2 (Hs03044953_ml), FDXR (Hs00244586_ml), GADD45A (Hs00169255_ml), GDF15 (Hs00171132_ml), TNFSF4 (Hs00182411_ml) , CDKN1A-F: AGACCAGCATGACAGATTTCTACC; CDKN1A-R: CTTCCTGTGGGCGGATTAGG; DDB2-F: AGCATCACTGGGCTGAAGTT; DDB2-R: TGGTGTCTGAGCTGGCAAAA; FDX-F: TGGAGAGAACGGACATCACG; FDX-R: AGCCACACTGTCTTCACTCG , GADD45a for: ACTGCGTGCTGGTGACGAAT, GADD45a rev: GTTGACTTAAGGCAGGATCCTTCCA; FDXR for: TGGATGTGCCAGGCCTCTAC, FDXR rev: TGAGGAAGCTGTCAGTCATGGTT; CDKN1A for: CCTGGAGACTCTCAGGGTCGAAA, CDKN1A rev: GCGTTTGGAGTGGTAGAAATCTGTCA; MDM2 for: TATCAGGCAGGGGAGAGTGATACA, MDM2 rev: CCAACATCTGTTGCAATGTGATGGAA; 18S for: GCTTAATTTGACTCAACACGGGA, 18S rev: AGCTATCAATCTGTCAATCCTGTCC. , TaqMan ® assay: DDB2 (
Techniques: Gene Expression
Journal: PloS one
Article Title: Wnt pathway activity in breast cancer sub-types and stem-like cells.
doi: 10.1371/journal.pone.0067811
Figure Lengend Snippet: Figure 3. Gene expression analysis of Wnt signalling in monolayer (Mono) and anoikis resistant (AR) cells of normal breast cell lines (N), ER-ve and ER+ve breast cancer cell lines. A) Protein expression of activated B-catenin (unphosphorylated), Lef1, Axin2, DKK1 and B-actin (housekeeper) in MCF7 monolayer and AR cells. B) Cluster analysis was performed using the fold change in expression
Article Snippet: MCF10a, MCF7, MDA-MB-231, primary human normal breast cells and primary human invasive breast cancer cells were plated into MS culture and treated with a single dose of human
Techniques: Gene Expression, Expressing
Journal: PloS one
Article Title: Wnt pathway activity in breast cancer sub-types and stem-like cells.
doi: 10.1371/journal.pone.0067811
Figure Lengend Snippet: Figure 4. Modulation of Wnt signalling in normal and breast cancer cell lines. Single cells were plated in non-adherent conditions and treated with increasing concentrations of either Wnt3a (0–50 ng/ml) or DKK1 (0–100 ng/ml) and cultured for 7 days and number of mammospheres counted. Wnt3a treatments are displayed in the left panel and DKK1 treatments in the right panel. Light grey bars represent untreated control A) MCF10a cells (Wnt3a) B) MCF7 cells (Wnt3a) C) MDA-MB-231 cells (Wnt3a) D) MCF10a cells (DKK1) E) MCF7 cells (DKK1) F) MDA-MB-231 cells (DKK1). Data is expressed as % mammosphere formation units. P values were generated by ANOVA. Asterisks mark individual comparisons which reached statistical significance * ,0.01 ** ,0.001 generated by a T-test. G) Image of a MCF10a mammosphere H) Image of an MCF7 mammosphere I) Image of an MDA-MB-231 mammosphere. Scale bar represents 50 mM. doi:10.1371/journal.pone.0067811.g004
Article Snippet: MCF10a, MCF7, MDA-MB-231, primary human normal breast cells and primary human invasive breast cancer cells were plated into MS culture and treated with a single dose of human
Techniques: Cell Culture, Control, Generated
Journal: PloS one
Article Title: Wnt pathway activity in breast cancer sub-types and stem-like cells.
doi: 10.1371/journal.pone.0067811
Figure Lengend Snippet: Figure 5. Modulation of Wnt signalling in normal and primary breast cancer samples (Normal n = 3; ER+ve n = 3; ER-ve n = 3). Single cells were plated in non-adherent conditions and treated with increasing concentrations of either Wnt3a (0–50 ng/ml) or DKK1 (0–100 ng/ml) and cultured for 7 days and number of mammospheres counted. Wnt3a treatments are displayed in the left panel and DKK1 treatments in the right panel. Light grey bars represent untreated control A) primary normal breast cells (Wnt3a) B) ER+ve primary breast cancer cells (Wnt3a) C) ER-ve primary breast cancer cells (Wnt3a) D) primary normal breast cells (DKK1) E) ER+ve primary breast cancer cells (DKK1) F) ER2ve primary breast cancer cells (DKK1). Data is expressed as % mammosphere formation units. P values were generated by ANOVA. Asterisks mark individual comparisons which reached statistical significance * .0.01 ** .0.001 generated by a T-test. G) Image of a normal primary mammosphere H) Image of an ER positive primary tumour mammosphere I) Image of an ER negative primary tumour mammosphere. Scale bar represents 50 mM. doi:10.1371/journal.pone.0067811.g005
Article Snippet: MCF10a, MCF7, MDA-MB-231, primary human normal breast cells and primary human invasive breast cancer cells were plated into MS culture and treated with a single dose of human
Techniques: Cell Culture, Control, Generated
Journal: Cancers
Article Title: Folic Acid Treatment Directly Influences the Genetic and Epigenetic Regulation along with the Associated Cellular Maintenance Processes of HT-29 and SW480 Colorectal Cancer Cell Lines
doi: 10.3390/cancers14071820
Figure Lengend Snippet: ( a ) Cell proliferation and ( b ) cell viability alterations of HT-29 and SW480 colorectal cancer cell lines following different folic acid (FA) supplies. Sulforhodamine B (SRB) was used for cell proliferation detection (* p ≤ 0.05, *** p ≤ 0.001), while cell viability data were obtained by alamarBlue assay (** p ≤ 0.01). FA-depleted cells were kept in media containing 0 ng/mL FA, whereas treated cells were exposed to 100 and 10,000 ng/mL FA for 72 h. The percentages of cell proliferation and viability were given relative to samples kept in the normal growth media. FA: folic acid.
Article Snippet: HT-29 (ATCC HTB-39) and
Techniques: Alamar Blue Assay
Journal: Cancers
Article Title: Folic Acid Treatment Directly Influences the Genetic and Epigenetic Regulation along with the Associated Cellular Maintenance Processes of HT-29 and SW480 Colorectal Cancer Cell Lines
doi: 10.3390/cancers14071820
Figure Lengend Snippet: Genomic stability detection of HT-29 and SW480 cells exposed to different folic acid (FA) concentrations (0, 100, 10,000 ng/mL). ( a ) Micronucleus (MN) scoring was performed on DAPI- and anti-γ-H2AX-stained slides. Left: We obtained the results by proportioning the cells with MN with all cells counted (** p ≤ 0.01, *** p ≤ 0.001). Right: Representative γ-H2AX-positive micronuclei are indicated with arrows. ( b ) DNA integrity was evaluated with comet assay, additionally. Left: Graphs show the changes in genomic stability in consideration of comet tail DNA percentage (* p ≤ 0.05). Right: Characteristic comets of both cell lines were captured following different treatments. FA: folic acid.
Article Snippet: HT-29 (ATCC HTB-39) and
Techniques: Staining, Single Cell Gel Electrophoresis
Journal: Cancers
Article Title: Folic Acid Treatment Directly Influences the Genetic and Epigenetic Regulation along with the Associated Cellular Maintenance Processes of HT-29 and SW480 Colorectal Cancer Cell Lines
doi: 10.3390/cancers14071820
Figure Lengend Snippet: DNA methylation analysis of HT-29 and SW480 cell lines exposed to different folic acid (FA) concentrations. The methylation levels of long interspersed nuclear element 1 (LINE-1) CpG positions (pos 1, pos 2, pos 3) were ( a ) summarized and also ( b ) visualized individually to detect global DNA methylation changes. With the use of Reduced Representation Bisulfite Sequencing (RRBS) method, a genome-wide methylome profile of 10,000 ng/mL FA-treated cells was established in the comparison of cells kept in FA-free (0 ng/mL FA) media. ( c ) Firstly, the number of genes with altered methylation in the investigated CpG sites was assessed. “Hyper” and “hypo” sections indicate the number of genes with methylated and unmethylated CpG sites, respectively. The intersection of these two categories refers to the genes that possess both methylated and unmethylated CpG dinucleotides. ( d ) Heatmap shows the top 10 significantly ( p ≤ 0.05) enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways with the number of differentially methylated genes. ( e ) Pie charts represent the localization of differentially methylated sites (DMS) in distinct chromatin states. FA: folic acid; pos: CpG position; hyper: hypermethylation; hypo: hypomethylation; DMSs: differentially methylated sites; heterochrom/lo: heterochromatin or low signal region; txn: transcription; CNV: copy number variation; KEGG: Kyoto Encyclopedia of Genes and Genomes.
Article Snippet: HT-29 (ATCC HTB-39) and
Techniques: DNA Methylation Assay, Methylation, Methylation Sequencing, Genome Wide, Comparison
Journal: Cancers
Article Title: Folic Acid Treatment Directly Influences the Genetic and Epigenetic Regulation along with the Associated Cellular Maintenance Processes of HT-29 and SW480 Colorectal Cancer Cell Lines
doi: 10.3390/cancers14071820
Figure Lengend Snippet: Genome-wide transcriptome alterations of HT-29 and SW480 cells following 10,000 ng/mL folic acid (FA) supplementation detected by Human Transcriptome Array 2.0 (HTA 2.0). ( a ) Pie charts represent the proportion of up- and downregulated genes. ( b ) Visual networks of protein–protein interactions were generated by the StringApp of Cytoscape software based on the list of genes with significant ( p ≤ 0.05) expression alterations and ≥|1.5| fold change (FC). Colors refer to the expression level of protein-coding genes (dark blue: FC ≤ −2, light blue: FC ≥ −2 and ≤−1.5, light red: FC ≥ 1.5 and ≤2, dark red: FC ≥ 2). ( c ) Top 10 genes showing significant ( p ≤ 0.05) up- and downregulation visualized with volcano plots. Gray points represent all the transcripts detected by HTA 2.0 microarray, while significantly ( p ≤ 0.05) altering genes with FC ≥ |1.5| value were marked with red and blue. P-val: p -value.
Article Snippet: HT-29 (ATCC HTB-39) and
Techniques: Genome Wide, Protein-Protein interactions, Generated, Software, Expressing, Microarray
Journal: Cancers
Article Title: Folic Acid Treatment Directly Influences the Genetic and Epigenetic Regulation along with the Associated Cellular Maintenance Processes of HT-29 and SW480 Colorectal Cancer Cell Lines
doi: 10.3390/cancers14071820
Figure Lengend Snippet: The intersection of genome-wide DNA methylation and gene expression data obtained by Reduced Representation Bisulfite Sequencing (RRBS) and Human Transcriptome Array (HTA) 2.0 analyses. Values represent the methylome and transcriptome pattern changes of 10,000 ng/mL folic acid (FA)-treated HT-29 and SW480 cells compared to non-treated samples (0 ng/mL FA). Only genes with promoter methylation status alteration in accordance with their expression level ( p ≤ 0.05 and fold change ≥|1.5|) were listed (left) and also visualized in volcano plots (right). Gray points represent all the transcripts detected by the microarray, while blue ones highlight down- and red ones show upregulating genes from the list. met. status: DNA methylation status; met. diff.: DNA methylation difference; expr. status: gene expression status; P-val: p -value.
Article Snippet: HT-29 (ATCC HTB-39) and
Techniques: Genome Wide, DNA Methylation Assay, Gene Expression, Methylation Sequencing, Methylation, Expressing, Microarray
Journal: Developmental cell
Article Title: Mechanosensing by the lamina protects against nuclear rupture, DNA damage, and cell cycle arrest
doi: 10.1016/j.devcel.2019.04.020
Figure Lengend Snippet: Key resources table
Article Snippet:
Techniques: Recombinant, Single Cell Gel Electrophoresis, Expressing, Control, Software
Journal: eLife
Article Title: Co-regulation and function of FOXM1 / RHNO1 bidirectional genes in cancer
doi: 10.7554/eLife.55070
Figure Lengend Snippet:
Article Snippet: Antibody ,
Techniques: Magnetic Beads, Purification, Single Cell Gel Electrophoresis, Bicinchoninic Acid Protein Assay, DNA Methylation Assay, Gel Extraction, TA Cloning, Reporter Assay, Reporter Gene Assay, Plasmid Preparation, Software
Journal: Molecular Cell
Article Title: Elongation Factor TFIIS Prevents Transcription Stress and R-Loop Accumulation to Maintain Genome Stability
doi: 10.1016/j.molcel.2019.07.037
Figure Lengend Snippet:
Article Snippet:
Techniques: Ubiquitin Proteomics, Virus, Recombinant, Reverse Transcription, Single Cell Gel Electrophoresis, Sequencing, Plasmid Preparation, Software, Cell Analysis, Protease Inhibitor, Membrane, SYBR Green Assay