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Journal: RSC Advances
Article Title: CellTrap: an instrument-free microfluidic platform for cell–cell interactions at stochastically generated effector-to-target ratios
doi: 10.1039/d6ra02345b
Figure Lengend Snippet: Characterization of the CellTrap device with 1024 traps. (A) The experimental loading frequencies ( f ) of individual particles, i.e. , green and red, are compared to the theoretical Poisson distributions ( P ) for λ 1 = 0.51 (green) and λ 2 = 0.54 (red). (B) A combinatorial loading distribution of the two particle types was analyzed using a double Poisson distribution, which is compared with the experimental dual loading frequency. (C) Representative bright-field, fluorescence, and overlay images of red and green particles trapped in a channel at different k 1 : k 2 ratios. (D) The experimental loading frequencies ( f ) and the theoretical Poisson distributions ( P ) are plotted for the U87 GFP and NK92 IL2 cells seeded in the CellTrap device with λ 1 = 0.83 (U87 GFP ) and λ 2 = 0.58 (NK92 IL2 ). (E) The experimental dual loading frequency and theoretical double Poisson distributions result in varying E : T or k 1 : k 2 ratios. (F) Representative bright-field, fluorescence, and overlay images of cancer (purple) and immune (white arrows) cells trapped inside a channel at different E : T ratios. (scale bars: 30 µm).
Article Snippet: The
Techniques: Fluorescence
Journal: RSC Advances
Article Title: CellTrap: an instrument-free microfluidic platform for cell–cell interactions at stochastically generated effector-to-target ratios
doi: 10.1039/d6ra02345b
Figure Lengend Snippet: Response of PBMCs and NK92 IL2 against U87 GFP cells. (A) Fluorescence intensity of U87 GFP cells decreases significantly after 4 h of co-incubation with PBMCs at E : T = ≥1 : ≥1. This data is curated from two independent CellTrap devices ( N = 2), where, in total, 97 traps were analyzed ( n = 97). (B) Inside one of the CellTrap devices used in (A), control traps with only one U87 GFP cell per trap, i.e. , E : T = 0 : 1, were analyzed, maintaining a stable fluorescence signal over 14 h ( N = 1, n = 18). (C) Representative time-lapse images of U87 GFP cells interacting with PBMCs at different E : T ratios, along with the control group containing only U87 GFP cells. (D) Fluorescence intensity of U87 GFP cells decreases significantly after 4 h of co-incubation with NK92 IL2 at E : T = 1 : 1. This data is curated from four independent CellTrap devices ( N = 4), where, in total, 213 traps with E : T = 1 : 1 were analyzed ( n = 213). (E) Inside one of the CellTrap devices used in (D), control traps with only one U87 GFP cell per trap, i.e. , E : T = 0 : 1, were analyzed, maintaining a fluorescence signal over 14 h ( N = 1, n = 50). (F) Representative time-lapse images of U87 GFP cells interacting with NK92 IL2 at different E : T ratios, along with the control group containing only U87 GFP cells. (G) Fluorescence intensity of U87 GFP at 0 h and 14 h of co-incubation with NK92 IL2 at E : T = 1 : 1, 1 : 2, 2 : 1 and 2 : 2. The intensity drop is significant across all E : T ratios except 1 : 2. This data is curated from the same CellTrap devices used in (D).
Article Snippet: The
Techniques: Fluorescence, Incubation, Control
Journal: RSC Advances
Article Title: CellTrap: an instrument-free microfluidic platform for cell–cell interactions at stochastically generated effector-to-target ratios
doi: 10.1039/d6ra02345b
Figure Lengend Snippet: Calcium flux and killing response of immune cells against cancer cells. (A) Calcium flux (normalized intensity) in NK92 IL2 immune cells varies over time in the presence of various cancer cell lines (U87, LS174T, K562). NK92 IL2 cells alone show a flat response (control). Each grey line represents a single immune cell tracked. Representative images show NK92 IL2 cells (green) and cancer cells (U87, LS174T, K562) co-incubated in the CellTrap chip at an E : T ratio of 1 : 1. n = number of traps analyzed. (B) The killing response of NK92 IL2 cells at different E : T ratios (1 : 1, 1 : 2, 2 : 1) against cancer cells (U87, LS174T, K562) is quantified and compared with control groups with E : T ratios of ≥1 : 0 and 0 : ≥1. N = number of CellTrap chips analyzed. n = number of traps analyzed. Representative images show NK92 IL2 cells interacting with cancer cells (U87, LS174T, K562 in blue) with varying E : T ratios at 0 and 14 hours. Red color indicates cell death at 14 hours. Scale bars: 25 µm.
Article Snippet: The
Techniques: Control, Incubation
Journal: Advanced Science
Article Title: Repurposing a Small Molecule Plant Hormone as a Tunable ON‐Switch for CAR‐T Cell Immunotherapy
doi: 10.1002/advs.77020
Figure Lengend Snippet: Assessment of auxCAR‐T cell performance in Jurkat T cells. (A,B) Representative Flow cytometry (A) and Statistical quantification (B) of early T cell activation as reflected by upregulated CD69 expression on the cell surface. Jurkat T cells transduced with stCAR (left) and auxCAR (right) were co‐cultured with hCD19 + Raji cells or hCD19 − K562 cells, with or without auxin. n = 3 independent biological replicates (mean ± s.d.). The p ‐values were calculated using one‐way analysis of variance (ANOVA). (C,D) Statistical quantification of NFAT‐GFP reporter activity in Jurkat T cells expressing stCAR and auxCAR co‐cultured with tumor cells with hCD19 + Raji cells (C) or A431‐CD19 (D) with the indicated auxin concentration. n = 3 independent technical replicates (mean ± s.d.). The p ‐values were calculated using one‐way analysis of variance (ANOVA). (E) Auxin‐dose‐dependent responses of stCAR T and auxCAR‐T cells examined by IL‐2 production in Jurkat T cells. (F) Architecture of the auxCAR HER2. Upper: cartoon depicting the different components. Bottom: schematic of the R‐ and S‐chains encoded in a single lentiviral vector, each separated by Venus or mScarlet. (G,H) Statistical quantification of NFAT‐GFP reporter activity (G) and IL‐2 production (H) in Jurkat T cells expressing stCAR HER2 or auxCAR HER2 co‐cultured with SK‐OV‐3 tumor cells in the presence of the indicated auxin concentration. n = 3 independent technical replicates (mean ± s.d.). (I) Statistical quantification of NFAT‐GFP reporter activity at the indicated time points following auxin removal in Jurkat T cells expressing auxCAR and co‐cultured with SK‐OV‐3 tumor cells. The auxCAR T cells were induced with 1 µM auxin.
Article Snippet:
Techniques: Flow Cytometry, Activation Assay, Expressing, Transduction, Cell Culture, Activity Assay, Concentration Assay, Plasmid Preparation
Journal: Journal of Virology
Article Title: Re-engineering segment 8 facilitates generation of a versatile live-attenuated influenza A virus vector platform for secretory protein delivery
doi: 10.1128/jvi.00347-26
Figure Lengend Snippet: Re-engineered segment 8 enables seamless integration of the human IL-2 ORF into the IAV-ΔNS1 vector backbone. ( a ) Schematic representation of alternative splicing for influenza A virus mRNA encoded by wild-type or re-engineered segment 8. Icon descriptions are provided in the figure. Not to scale. ( b ) Representative agarose gel image showing segment 8-specific RT-PCR products amplified from viral RNAs for the indicated viruses. ( c ) Ratios of spliced versus total segment 8 mRNA copy numbers from HEK293T cells infected with viruses carrying wild-type or ΔNS1-IL-2 segment 8 at an MOI of 1, quantified by qRT-PCR, at the indicated time points. Representative data from two independent experiments are depicted as mean ± SD ( n = 3). ( d ) Western blot images acquired from lysates of HEK293T cells infected with the indicated viruses or mock controls at 24 hours post-infection. A representative image is shown. ( e ) Multi-cycle growth curve analysis for the indicated viruses in MDCK-NS1 cells. Data are depicted as mean ± SD ( n = 3). Representative data from two independent experiments are shown. * and # indicate statistically significant differences between wild-type and vector control, or between wild-type and the IL-2-carrying vector, respectively. IL-2 ELISA ( f ) and IL-2 bioactivity assay ( g ) results for supernatants collected from MDCK-NS1 cells infected with indicated viruses at an MOI of 1 at 24 hpi. Representative data from two independent experiments are depicted as mean ± SD ( n = 3). ( h ) IL-2 ELISA results for supernatants collected from consecutive blind passages of ∆NS1-IL-2 viruses on MDCK-NS1 cells. Data are depicted as mean ± SD ( n = 3). Student’s t -test was used to test for statistical significance unless otherwise stated. P < 0.05. bp, base pair; hpi, hours post-infection; IB, immunoblot; kDa, kilodalton; pfu, plaque-forming unit; mL, milliliter; and ng, nanogram.
Article Snippet: The
Techniques: Plasmid Preparation, Alternative Splicing, Virus, Agarose Gel Electrophoresis, Reverse Transcription Polymerase Chain Reaction, Amplification, Infection, Quantitative RT-PCR, Western Blot, Control, Enzyme-linked Immunosorbent Assay
Journal: Journal of Virology
Article Title: Re-engineering segment 8 facilitates generation of a versatile live-attenuated influenza A virus vector platform for secretory protein delivery
doi: 10.1128/jvi.00347-26
Figure Lengend Snippet: Novel IAV-ΔNS1 vectors induce notable viral antigen expression and vector-sourced IL-2 secretion in IFN-competent systems. ( a ) Representative images of plaque assays for pre-estimated doses of indicated viruses at 33°C or 37°C on MDCK or MDCK-NS1 cells. Plaques were stained by standard immuno-staining against IAV NP protein. ( b ) Multi-cycle growth curve analysis for the indicated viruses in MDCK cells. Data are depicted as mean ± SD ( n = 3). Representative data from two independent experiments are shown. * and # indicate statistically significant differences between wild-type and vector control, or between wild-type and the IL-2-carrying vector, respectively. ( c and d ) MDCK, A549, and HEK293T cells were infected with the indicated viruses at an MOI of 1. ( c ) At 24 hpi, infection rates were quantified by flow cytometry analysis for IAV NP-expressing cells. Representative data from two independent experiments are depicted as mean ± SD ( n = 3). One-way ANOVA was applied to test for statistical significance. P < 0.05. ( d ) IL-2 levels in culture supernatants and bioactivity of vector-sourced IL-2 were measured at the indicated time points by sandwich ELISA and HEK-Blue CD122/CD132 cells, respectively. Representative data from two independent experiments are depicted as median ( n = 3). ( e and f ) BALB/c mice were intranasally inoculated with the vectors at a dose of 1 × 10 5 pfu/animal or mock controls. ( e ) Animals were monitored for weight loss up to 7 days post-infection ( n = 5). The dotted line indicates the corresponding human endpoint (75% of initial body weight). Data are depicted as mean ± SD. ( f ) IL-2 levels measured by sandwich ELISA in bronchoalveolar lavages (BALs) and serum collected from mice inoculated with the indicated viruses or mock controls at 24 hpi. Data are depicted as mean ± SD. Student’s t -test was used to test for statistical significance unless otherwise stated. P < 0.05. ng, nanogram; mL, milliliter; and hpi, hours post-infection.
Article Snippet: The
Techniques: Expressing, Plasmid Preparation, Staining, Immunostaining, Control, Infection, Flow Cytometry, Sandwich ELISA
Journal: Journal of Virology
Article Title: Re-engineering segment 8 facilitates generation of a versatile live-attenuated influenza A virus vector platform for secretory protein delivery
doi: 10.1128/jvi.00347-26
Figure Lengend Snippet: Re-engineered segment 8 enables seamless integration of the human IL-2 ORF into the IAV-ΔNS1 vector backbone. ( a ) Schematic representation of alternative splicing for influenza A virus mRNA encoded by wild-type or re-engineered segment 8. Icon descriptions are provided in the figure. Not to scale. ( b ) Representative agarose gel image showing segment 8-specific RT-PCR products amplified from viral RNAs for the indicated viruses. ( c ) Ratios of spliced versus total segment 8 mRNA copy numbers from HEK293T cells infected with viruses carrying wild-type or ΔNS1-IL-2 segment 8 at an MOI of 1, quantified by qRT-PCR, at the indicated time points. Representative data from two independent experiments are depicted as mean ± SD ( n = 3). ( d ) Western blot images acquired from lysates of HEK293T cells infected with the indicated viruses or mock controls at 24 hours post-infection. A representative image is shown. ( e ) Multi-cycle growth curve analysis for the indicated viruses in MDCK-NS1 cells. Data are depicted as mean ± SD ( n = 3). Representative data from two independent experiments are shown. * and # indicate statistically significant differences between wild-type and vector control, or between wild-type and the IL-2-carrying vector, respectively. IL-2 ELISA ( f ) and IL-2 bioactivity assay ( g ) results for supernatants collected from MDCK-NS1 cells infected with indicated viruses at an MOI of 1 at 24 hpi. Representative data from two independent experiments are depicted as mean ± SD ( n = 3). ( h ) IL-2 ELISA results for supernatants collected from consecutive blind passages of ∆NS1-IL-2 viruses on MDCK-NS1 cells. Data are depicted as mean ± SD ( n = 3). Student’s t -test was used to test for statistical significance unless otherwise stated. P < 0.05. bp, base pair; hpi, hours post-infection; IB, immunoblot; kDa, kilodalton; pfu, plaque-forming unit; mL, milliliter; and ng, nanogram.
Article Snippet:
Techniques: Plasmid Preparation, Alternative Splicing, Virus, Agarose Gel Electrophoresis, Reverse Transcription Polymerase Chain Reaction, Amplification, Infection, Quantitative RT-PCR, Western Blot, Control, Enzyme-linked Immunosorbent Assay
Journal: Journal of Virology
Article Title: Re-engineering segment 8 facilitates generation of a versatile live-attenuated influenza A virus vector platform for secretory protein delivery
doi: 10.1128/jvi.00347-26
Figure Lengend Snippet: Novel IAV-ΔNS1 vectors induce notable viral antigen expression and vector-sourced IL-2 secretion in IFN-competent systems. ( a ) Representative images of plaque assays for pre-estimated doses of indicated viruses at 33°C or 37°C on MDCK or MDCK-NS1 cells. Plaques were stained by standard immuno-staining against IAV NP protein. ( b ) Multi-cycle growth curve analysis for the indicated viruses in MDCK cells. Data are depicted as mean ± SD ( n = 3). Representative data from two independent experiments are shown. * and # indicate statistically significant differences between wild-type and vector control, or between wild-type and the IL-2-carrying vector, respectively. ( c and d ) MDCK, A549, and HEK293T cells were infected with the indicated viruses at an MOI of 1. ( c ) At 24 hpi, infection rates were quantified by flow cytometry analysis for IAV NP-expressing cells. Representative data from two independent experiments are depicted as mean ± SD ( n = 3). One-way ANOVA was applied to test for statistical significance. P < 0.05. ( d ) IL-2 levels in culture supernatants and bioactivity of vector-sourced IL-2 were measured at the indicated time points by sandwich ELISA and HEK-Blue CD122/CD132 cells, respectively. Representative data from two independent experiments are depicted as median ( n = 3). ( e and f ) BALB/c mice were intranasally inoculated with the vectors at a dose of 1 × 10 5 pfu/animal or mock controls. ( e ) Animals were monitored for weight loss up to 7 days post-infection ( n = 5). The dotted line indicates the corresponding human endpoint (75% of initial body weight). Data are depicted as mean ± SD. ( f ) IL-2 levels measured by sandwich ELISA in bronchoalveolar lavages (BALs) and serum collected from mice inoculated with the indicated viruses or mock controls at 24 hpi. Data are depicted as mean ± SD. Student’s t -test was used to test for statistical significance unless otherwise stated. P < 0.05. ng, nanogram; mL, milliliter; and hpi, hours post-infection.
Article Snippet:
Techniques: Expressing, Plasmid Preparation, Staining, Immunostaining, Control, Infection, Flow Cytometry, Sandwich ELISA
Journal: Journal of Advanced Research
Article Title: Exploration and analysis of methylglyoxal-driven chronic inflammation in polycystic ovary syndrome
doi: 10.1016/j.jare.2025.08.048
Figure Lengend Snippet: PCOS patients have high levels of inflammatory cytokines. (A) Differential heatmaps of the expression of inflammation-related proteins in follicular fluid as detected via the Olink Target 96 Inflammation Panel. Red indicates the upregulated proteins, whereas blue represents the downregulated proteins. GO (B) and KEGG (C) enrichment analyses revealed that the enrichment of differential inflammatory proteins obtained via the Olink Target 96 Inflammation Panel was associated with inflammatory activation pathways in PCOS patients. (D) Spearman correlations between the six most significant inflammatory proteins expressed in the follicular fluid of PCOS patients and clinical and metabolic parameters were analyzed. The heatmap shows the correlation coefficients (r) between circulating inflammatory markers and BMI, hormones, and metabolic variables. Significant correlations ( P < 0.05) are highlighted by asterisks (*). The color gradient reflects the strength and direction of the association (red: positive correlation; blue: negative correlation). (E) Heatmap of the six most significantly expressed DEGs in the peripheral blood of PCOS patients. The columns represent individual genes, and the rows represent samples. Red indicates upregulation, and blue indicates downregulation ( P < 0.05). (F) Violin plots of differentially expressed proteins in peripheral blood from women with PCOS ( P < 0.05). The Y-axis concentration display begins at a value of zero. The external shape of the violin plot is the kernel density estimation and does not indicate the presence of empirically measured negative values. (G) Spearman correlations between six inflammatory proteins (in the peripheral blood) related to PCOS and clinical/metabolic parameters. The heatmap shows the correlation coefficients (r) between inflammatory markers and diagnostic indicators. Significant correlations ( P < 0.05) are indicated in the heatmap. The color gradient represents the strength/direction of the association (red: positive correlation; blue: negative correlation). Abbreviations: DEGs, differentially expressed genes; GO, Gene Ontology; IFN-γ, interferon-γ; IL-2, interleukin-2; IL-10, interleukin-10; IL-4, interleukin-4; IL-6, interleukin-6; IL-17, interleukin-17; KEGG, Kvoto Encyclopedia of Gencs and Genomes and PCOS, polycystic ovary syndrome.
Article Snippet: The levels of inflammatory factors, including interferon-γ (IFN-γ; VAL104C, Novus Biologicals, USA),
Techniques: Expressing, Activation Assay, Concentration Assay, Diagnostic Assay
Journal: Journal of Advanced Research
Article Title: Exploration and analysis of methylglyoxal-driven chronic inflammation in polycystic ovary syndrome
doi: 10.1016/j.jare.2025.08.048
Figure Lengend Snippet: RCS models of the associations between serum and follicular fluid methylglyoxal and inflammation-related factor levels.Association of follicular fluid methylglyoxal levels with (A) IL-8, (B) IL-6, (C) FGF-23, (D) HGF, (E) UPA, and (F) MCP-4 levels via RCS analysis in PCOS patients and association of serum methylglyoxal levels with (G) INF-γ, (H) IL-2, (I) IL-10, (J) IL-4, (K) IL-6,and (L) IL-17A levels via RCS analysis in PCOS patients. Associations between serum methylglyoxal levels and (M) WBCs, (N) neutrophils, (O) lymphocytes, and (P) the N/L ratio determined via RCS analysis in PCOS patients. Abbreviations: FGF-23, fibroblast growth factor; HGF, hepatocyte growth factor; IL-2, interleukin-2; IL-4, interleukin-4; IL-6, interleukin-6; IL-8, interleukin-8; IL-10, interleukin-10; IL-17A, interleukin-17A; IFN-γ, interferon-γ; MCP-4, monocyte chemotactic protein; N/L, the ratio of neutrophils/lymphocytes; PCOS, polycystic ovary syndrome; RCS, restricted cubic spline; UPA, urokinase-type plasminogen activator and WBCs, white blood cells.
Article Snippet: The levels of inflammatory factors, including interferon-γ (IFN-γ; VAL104C, Novus Biologicals, USA),
Techniques: