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cell counting kit 8 reagent  (Dojindo Labs)


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    Dojindo Labs cell counting kit 8 reagent
    Cell Counting Kit 8 Reagent, supplied by Dojindo Labs, used in various techniques. Bioz Stars score: 99/100, based on 67126 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/cell counting kit 8 reagent/product/Dojindo Labs
    Average 99 stars, based on 67126 article reviews
    cell counting kit 8 reagent - by Bioz Stars, 2026-05
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    PLXNC1 promotes the proliferation, migration, and invasion of colorectal cancer (CRC) cells in vitro. (A) qRT-PCR analysis was conducted to examine the knockdown efficiency of PLXNC1 in the negative control (NC)-siRNA- or PLXNC1-siRNA-transfected CRC cells. NC-siRNA was used as a negative control. GAPDH was a normalization control. <t>(B)</t> <t>CCK-8</t> assay was performed to assay the viability of control and PLXNC1-silenced CRC cells. (C) After 48 h of transfection with NC-siRNA or PLXNC1-siRNA, the migration of CRC cells in Transwell chambers was determined. (D) After 48 h of transfection with NC-siRNA or PLXNC1-siRNA, CRC cells invading the Matrigel in Transwell chambers were performed. Note: Scale bars = 200 μm. (E) Representative images of EdU-stained (red) cells and the quantification of cell proliferation ratio normalized to Hoechst-stained (blue) cells. Scale bars = 75 μm. (F) qRT-PCR data of the PLXNC1 expression in LoVo cells following transfection with PLXNC1 plasmids or controls. GAPDH was a normalization control. (G) CCK-8 assay results show the viability of LoVo cells following transfection with PLXNC1 plasmids or controls. (H, I) Transwell assay was employed to count the number of migrated (H) and invaded (I) LoVo cells following transfection with PLXNC1 plasmids or controls. ∗∗∗ p < 0.001; ∗∗ p < 0.01, and ∗ p < 0.05.
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    UCHL1 is positively associated with TMZ resistance in glioblastoma cells. (A) Cell viability curves for the U87MG, T98G, and U251 cell lines following TMZ treatment were evaluated using <t>the</t> <t>CCK-8</t> assay. The IC50 values were determined through nonlinear regression analysis (curve fitting), with three replicates ( n = 3). (B) The IC50 values for TMZ-treated U251 cells were assessed after exposure to 100 nM MG132 (a proteasome inhibitor) or 5 μM CQ (an autophagy/lysosome inhibitor) ( n = 3). (C) Differential genes from the datasets GSE193957 , GSE211272 , GSE229600 , and GSE113510 were intersected with members of the ubiquitin proteasome family. Western blotting analysis (D) and RT-qPCR (E) were conducted to assess UCHL1 levels in the U87MG, T98G, and U251 cell lines ( n = 3). * p < 0.05, *** p < 0.001.
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    Plasma derived from TMPA rats inhibits the LPS-induced activation of NF-κB in BV2 microglial cells. (A) Timeline for experiments identifying the optimal dosage of LPS treatment for BV2 cell. (B) Representative Western blot images showing phosphorylated levels of molecules involved in MAPK and NF-κB signaling in BV2 cells treated with various LPS doses at indicated time points. (C) Quantitative results of phosphorylated level of p65 in BV2 cells treated with various LPS doses at indicated time points. (D) Quantitative results of phosphorylated level of JNK in BV2 cells treated with various LPS doses at indicated time points. (E) Timeline for experiments evaluating the effects of plasma from SED and TMPA rats on p65 and JNK phosphorylation in BV2 cells treated with 100 ng/mL of LPS. (F) Quantitative results of cell viability <t>using</t> <t>CCK-8</t> assay. (G) Representative Western blot images showing phosphorylated levels of p65 and JNK in BV2 cells treated with plasma from SED or TMPA rats followed by 100 ng/mL of LPS at indicated time points. (H) Quantitative results of phosphorylated level of p65 in BV2 cells treated with plasma from SED or TMPA rats followed by 100 ng/mL of LPS at indicated time points. (I) Quantitative results of phosphorylated level of JNK in BV2 cells treated with plasma from SED or TMPA rats followed by 100 ng/mL of LPS at indicated time points. Data in panels (C) and (D) were expressed as the median with interquartile range and analyzed with Kruskal-Wallis test followed by Dunn's multiple comparisons test. Data in panels (F) , (G) and (H) were expressed as mean ± standard deviation and analyzed with ordinary two-way ANOVA followed by Tukey's multiple comparisons test. Statistical significances from post hoc multiple comparisons were indicated by asterisks: * p < 0.05, ** p < 0.01, *** p < 0.001. Asterisks in panels (C) and (D) indicate significant differences compared to the 0 ng/mL group. n = 4 cultures/group in assays shown in panels (B – D) and n = 9 cultures/group in assays shown in panels (F – I) .
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    Plasma derived from TMPA rats inhibits the LPS-induced activation of NF-κB in BV2 microglial cells. (A) Timeline for experiments identifying the optimal dosage of LPS treatment for BV2 cell. (B) Representative Western blot images showing phosphorylated levels of molecules involved in MAPK and NF-κB signaling in BV2 cells treated with various LPS doses at indicated time points. (C) Quantitative results of phosphorylated level of p65 in BV2 cells treated with various LPS doses at indicated time points. (D) Quantitative results of phosphorylated level of JNK in BV2 cells treated with various LPS doses at indicated time points. (E) Timeline for experiments evaluating the effects of plasma from SED and TMPA rats on p65 and JNK phosphorylation in BV2 cells treated with 100 ng/mL of LPS. (F) Quantitative results of cell viability <t>using</t> <t>CCK-8</t> assay. (G) Representative Western blot images showing phosphorylated levels of p65 and JNK in BV2 cells treated with plasma from SED or TMPA rats followed by 100 ng/mL of LPS at indicated time points. (H) Quantitative results of phosphorylated level of p65 in BV2 cells treated with plasma from SED or TMPA rats followed by 100 ng/mL of LPS at indicated time points. (I) Quantitative results of phosphorylated level of JNK in BV2 cells treated with plasma from SED or TMPA rats followed by 100 ng/mL of LPS at indicated time points. Data in panels (C) and (D) were expressed as the median with interquartile range and analyzed with Kruskal-Wallis test followed by Dunn's multiple comparisons test. Data in panels (F) , (G) and (H) were expressed as mean ± standard deviation and analyzed with ordinary two-way ANOVA followed by Tukey's multiple comparisons test. Statistical significances from post hoc multiple comparisons were indicated by asterisks: * p < 0.05, ** p < 0.01, *** p < 0.001. Asterisks in panels (C) and (D) indicate significant differences compared to the 0 ng/mL group. n = 4 cultures/group in assays shown in panels (B – D) and n = 9 cultures/group in assays shown in panels (F – I) .
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    Plasma derived from TMPA rats inhibits the LPS-induced activation of NF-κB in BV2 microglial cells. (A) Timeline for experiments identifying the optimal dosage of LPS treatment for BV2 cell. (B) Representative Western blot images showing phosphorylated levels of molecules involved in MAPK and NF-κB signaling in BV2 cells treated with various LPS doses at indicated time points. (C) Quantitative results of phosphorylated level of p65 in BV2 cells treated with various LPS doses at indicated time points. (D) Quantitative results of phosphorylated level of JNK in BV2 cells treated with various LPS doses at indicated time points. (E) Timeline for experiments evaluating the effects of plasma from SED and TMPA rats on p65 and JNK phosphorylation in BV2 cells treated with 100 ng/mL of LPS. (F) Quantitative results of cell viability <t>using</t> <t>CCK-8</t> assay. (G) Representative Western blot images showing phosphorylated levels of p65 and JNK in BV2 cells treated with plasma from SED or TMPA rats followed by 100 ng/mL of LPS at indicated time points. (H) Quantitative results of phosphorylated level of p65 in BV2 cells treated with plasma from SED or TMPA rats followed by 100 ng/mL of LPS at indicated time points. (I) Quantitative results of phosphorylated level of JNK in BV2 cells treated with plasma from SED or TMPA rats followed by 100 ng/mL of LPS at indicated time points. Data in panels (C) and (D) were expressed as the median with interquartile range and analyzed with Kruskal-Wallis test followed by Dunn's multiple comparisons test. Data in panels (F) , (G) and (H) were expressed as mean ± standard deviation and analyzed with ordinary two-way ANOVA followed by Tukey's multiple comparisons test. Statistical significances from post hoc multiple comparisons were indicated by asterisks: * p < 0.05, ** p < 0.01, *** p < 0.001. Asterisks in panels (C) and (D) indicate significant differences compared to the 0 ng/mL group. n = 4 cultures/group in assays shown in panels (B – D) and n = 9 cultures/group in assays shown in panels (F – I) .
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    Image Search Results


    PLXNC1 promotes the proliferation, migration, and invasion of colorectal cancer (CRC) cells in vitro. (A) qRT-PCR analysis was conducted to examine the knockdown efficiency of PLXNC1 in the negative control (NC)-siRNA- or PLXNC1-siRNA-transfected CRC cells. NC-siRNA was used as a negative control. GAPDH was a normalization control. (B) CCK-8 assay was performed to assay the viability of control and PLXNC1-silenced CRC cells. (C) After 48 h of transfection with NC-siRNA or PLXNC1-siRNA, the migration of CRC cells in Transwell chambers was determined. (D) After 48 h of transfection with NC-siRNA or PLXNC1-siRNA, CRC cells invading the Matrigel in Transwell chambers were performed. Note: Scale bars = 200 μm. (E) Representative images of EdU-stained (red) cells and the quantification of cell proliferation ratio normalized to Hoechst-stained (blue) cells. Scale bars = 75 μm. (F) qRT-PCR data of the PLXNC1 expression in LoVo cells following transfection with PLXNC1 plasmids or controls. GAPDH was a normalization control. (G) CCK-8 assay results show the viability of LoVo cells following transfection with PLXNC1 plasmids or controls. (H, I) Transwell assay was employed to count the number of migrated (H) and invaded (I) LoVo cells following transfection with PLXNC1 plasmids or controls. ∗∗∗ p < 0.001; ∗∗ p < 0.01, and ∗ p < 0.05.

    Journal: Genes & Diseases

    Article Title: Identification of PLXNC1 as a novel biomarker for consensus molecular subtype 4 in colorectal cancer

    doi: 10.1016/j.gendis.2025.101974

    Figure Lengend Snippet: PLXNC1 promotes the proliferation, migration, and invasion of colorectal cancer (CRC) cells in vitro. (A) qRT-PCR analysis was conducted to examine the knockdown efficiency of PLXNC1 in the negative control (NC)-siRNA- or PLXNC1-siRNA-transfected CRC cells. NC-siRNA was used as a negative control. GAPDH was a normalization control. (B) CCK-8 assay was performed to assay the viability of control and PLXNC1-silenced CRC cells. (C) After 48 h of transfection with NC-siRNA or PLXNC1-siRNA, the migration of CRC cells in Transwell chambers was determined. (D) After 48 h of transfection with NC-siRNA or PLXNC1-siRNA, CRC cells invading the Matrigel in Transwell chambers were performed. Note: Scale bars = 200 μm. (E) Representative images of EdU-stained (red) cells and the quantification of cell proliferation ratio normalized to Hoechst-stained (blue) cells. Scale bars = 75 μm. (F) qRT-PCR data of the PLXNC1 expression in LoVo cells following transfection with PLXNC1 plasmids or controls. GAPDH was a normalization control. (G) CCK-8 assay results show the viability of LoVo cells following transfection with PLXNC1 plasmids or controls. (H, I) Transwell assay was employed to count the number of migrated (H) and invaded (I) LoVo cells following transfection with PLXNC1 plasmids or controls. ∗∗∗ p < 0.001; ∗∗ p < 0.01, and ∗ p < 0.05.

    Article Snippet: CCK-8 reagent (10 μL, DOJINDO, Kumamoto, Japan) was added to each well at 0, 24, 48, and 72 h after transfection and incubated at 37 °C for 4 h. Absorbance at 450 nm was measured using a microplate reader (PerkinElmer EnVision, Massachusetts, USA).

    Techniques: Migration, In Vitro, Quantitative RT-PCR, Knockdown, Negative Control, Transfection, Control, CCK-8 Assay, Staining, Expressing, Transwell Assay

    UCHL1 is positively associated with TMZ resistance in glioblastoma cells. (A) Cell viability curves for the U87MG, T98G, and U251 cell lines following TMZ treatment were evaluated using the CCK-8 assay. The IC50 values were determined through nonlinear regression analysis (curve fitting), with three replicates ( n = 3). (B) The IC50 values for TMZ-treated U251 cells were assessed after exposure to 100 nM MG132 (a proteasome inhibitor) or 5 μM CQ (an autophagy/lysosome inhibitor) ( n = 3). (C) Differential genes from the datasets GSE193957 , GSE211272 , GSE229600 , and GSE113510 were intersected with members of the ubiquitin proteasome family. Western blotting analysis (D) and RT-qPCR (E) were conducted to assess UCHL1 levels in the U87MG, T98G, and U251 cell lines ( n = 3). * p < 0.05, *** p < 0.001.

    Journal: Translational Oncology

    Article Title: UCHL1 promotes temozolomide resistance in glioblastoma by inhibiting the ubiquitination-mediated degradation of keratin 8

    doi: 10.1016/j.tranon.2026.102728

    Figure Lengend Snippet: UCHL1 is positively associated with TMZ resistance in glioblastoma cells. (A) Cell viability curves for the U87MG, T98G, and U251 cell lines following TMZ treatment were evaluated using the CCK-8 assay. The IC50 values were determined through nonlinear regression analysis (curve fitting), with three replicates ( n = 3). (B) The IC50 values for TMZ-treated U251 cells were assessed after exposure to 100 nM MG132 (a proteasome inhibitor) or 5 μM CQ (an autophagy/lysosome inhibitor) ( n = 3). (C) Differential genes from the datasets GSE193957 , GSE211272 , GSE229600 , and GSE113510 were intersected with members of the ubiquitin proteasome family. Western blotting analysis (D) and RT-qPCR (E) were conducted to assess UCHL1 levels in the U87MG, T98G, and U251 cell lines ( n = 3). * p < 0.05, *** p < 0.001.

    Article Snippet: After 48 h of incubation, 10% (v/v) Cell counting kit-8 (CCK-8) reagent (Dojindo, Kumamoto, Japan) was added to each well.

    Techniques: CCK-8 Assay, Ubiquitin Proteomics, Western Blot, Quantitative RT-PCR

    Plasma derived from TMPA rats inhibits the LPS-induced activation of NF-κB in BV2 microglial cells. (A) Timeline for experiments identifying the optimal dosage of LPS treatment for BV2 cell. (B) Representative Western blot images showing phosphorylated levels of molecules involved in MAPK and NF-κB signaling in BV2 cells treated with various LPS doses at indicated time points. (C) Quantitative results of phosphorylated level of p65 in BV2 cells treated with various LPS doses at indicated time points. (D) Quantitative results of phosphorylated level of JNK in BV2 cells treated with various LPS doses at indicated time points. (E) Timeline for experiments evaluating the effects of plasma from SED and TMPA rats on p65 and JNK phosphorylation in BV2 cells treated with 100 ng/mL of LPS. (F) Quantitative results of cell viability using CCK-8 assay. (G) Representative Western blot images showing phosphorylated levels of p65 and JNK in BV2 cells treated with plasma from SED or TMPA rats followed by 100 ng/mL of LPS at indicated time points. (H) Quantitative results of phosphorylated level of p65 in BV2 cells treated with plasma from SED or TMPA rats followed by 100 ng/mL of LPS at indicated time points. (I) Quantitative results of phosphorylated level of JNK in BV2 cells treated with plasma from SED or TMPA rats followed by 100 ng/mL of LPS at indicated time points. Data in panels (C) and (D) were expressed as the median with interquartile range and analyzed with Kruskal-Wallis test followed by Dunn's multiple comparisons test. Data in panels (F) , (G) and (H) were expressed as mean ± standard deviation and analyzed with ordinary two-way ANOVA followed by Tukey's multiple comparisons test. Statistical significances from post hoc multiple comparisons were indicated by asterisks: * p < 0.05, ** p < 0.01, *** p < 0.001. Asterisks in panels (C) and (D) indicate significant differences compared to the 0 ng/mL group. n = 4 cultures/group in assays shown in panels (B – D) and n = 9 cultures/group in assays shown in panels (F – I) .

    Journal: Brain, Behavior, & Immunity - Health

    Article Title: Physical activity-associated extracellular vesicles inhibit inflammagen-induced microglial activation

    doi: 10.1016/j.bbih.2026.101200

    Figure Lengend Snippet: Plasma derived from TMPA rats inhibits the LPS-induced activation of NF-κB in BV2 microglial cells. (A) Timeline for experiments identifying the optimal dosage of LPS treatment for BV2 cell. (B) Representative Western blot images showing phosphorylated levels of molecules involved in MAPK and NF-κB signaling in BV2 cells treated with various LPS doses at indicated time points. (C) Quantitative results of phosphorylated level of p65 in BV2 cells treated with various LPS doses at indicated time points. (D) Quantitative results of phosphorylated level of JNK in BV2 cells treated with various LPS doses at indicated time points. (E) Timeline for experiments evaluating the effects of plasma from SED and TMPA rats on p65 and JNK phosphorylation in BV2 cells treated with 100 ng/mL of LPS. (F) Quantitative results of cell viability using CCK-8 assay. (G) Representative Western blot images showing phosphorylated levels of p65 and JNK in BV2 cells treated with plasma from SED or TMPA rats followed by 100 ng/mL of LPS at indicated time points. (H) Quantitative results of phosphorylated level of p65 in BV2 cells treated with plasma from SED or TMPA rats followed by 100 ng/mL of LPS at indicated time points. (I) Quantitative results of phosphorylated level of JNK in BV2 cells treated with plasma from SED or TMPA rats followed by 100 ng/mL of LPS at indicated time points. Data in panels (C) and (D) were expressed as the median with interquartile range and analyzed with Kruskal-Wallis test followed by Dunn's multiple comparisons test. Data in panels (F) , (G) and (H) were expressed as mean ± standard deviation and analyzed with ordinary two-way ANOVA followed by Tukey's multiple comparisons test. Statistical significances from post hoc multiple comparisons were indicated by asterisks: * p < 0.05, ** p < 0.01, *** p < 0.001. Asterisks in panels (C) and (D) indicate significant differences compared to the 0 ng/mL group. n = 4 cultures/group in assays shown in panels (B – D) and n = 9 cultures/group in assays shown in panels (F – I) .

    Article Snippet: One hour before the end of treatment, 22 μL of CCK-8 reagent (Cat#: C0005, TargetMol, Boston, MA, USA) was added to each well and incubated for 1 h at 37 °C.

    Techniques: Clinical Proteomics, Derivative Assay, Activation Assay, Western Blot, Phospho-proteomics, CCK-8 Assay, Standard Deviation

    Circulating EVs derived from TMPA rats inhibits the LPS-induced activation of NF-κB in BV2 microglial cells. (A) Representative fluorescence images from the EV uptake assay in BV2 cells. The images in the rightmost column are magnified views of the areas outlined by red frames in the color-merged images. Scale bar: 50 μm. (B) Quantitative results of EV uptake assay in BV2 cells. (C) Timeline for experiments evaluating the effects of circulating EVs from SED and TMPA rats on p65 and JNK phosphorylation in BV2 cells treated with 100 ng/mL of LPS. (D) Quantitative results of cell viability using CCK-8 assay. (E) Representative Western blot images showing phosphorylated levels of p65 and JNK in BV2 cells treated with circulating EVs from SED or TMPA rats followed by 100 ng/mL of LPS at indicated time points. (F) Quantitative results of phosphorylated level of p65 in BV2 cells treated with circulating EVs from SED or TMPA rats followed by 100 ng/mL of LPS at indicated time points. (G) Quantitative results of phosphorylated level of JNK in BV2 cells treated with circulating EVs from SED or TMPA rats followed by 100 ng/mL of LPS at indicated time points. Data in panel (B) was expressed as the median with 95% confidence interval. Data in panels (D) , (F) and (G) were expressed as mean ± standard deviation and analyzed with ordinary two-way ANOVA followed by Tukey's multiple comparisons test. Statistical significances from post hoc multiple comparisons were indicated by asterisks: *** p < 0.001. n = 3 cultures/group in assays shown in panels (A) and (B) and n = 9 cultures/group in assays shown in panels (D – G) . (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

    Journal: Brain, Behavior, & Immunity - Health

    Article Title: Physical activity-associated extracellular vesicles inhibit inflammagen-induced microglial activation

    doi: 10.1016/j.bbih.2026.101200

    Figure Lengend Snippet: Circulating EVs derived from TMPA rats inhibits the LPS-induced activation of NF-κB in BV2 microglial cells. (A) Representative fluorescence images from the EV uptake assay in BV2 cells. The images in the rightmost column are magnified views of the areas outlined by red frames in the color-merged images. Scale bar: 50 μm. (B) Quantitative results of EV uptake assay in BV2 cells. (C) Timeline for experiments evaluating the effects of circulating EVs from SED and TMPA rats on p65 and JNK phosphorylation in BV2 cells treated with 100 ng/mL of LPS. (D) Quantitative results of cell viability using CCK-8 assay. (E) Representative Western blot images showing phosphorylated levels of p65 and JNK in BV2 cells treated with circulating EVs from SED or TMPA rats followed by 100 ng/mL of LPS at indicated time points. (F) Quantitative results of phosphorylated level of p65 in BV2 cells treated with circulating EVs from SED or TMPA rats followed by 100 ng/mL of LPS at indicated time points. (G) Quantitative results of phosphorylated level of JNK in BV2 cells treated with circulating EVs from SED or TMPA rats followed by 100 ng/mL of LPS at indicated time points. Data in panel (B) was expressed as the median with 95% confidence interval. Data in panels (D) , (F) and (G) were expressed as mean ± standard deviation and analyzed with ordinary two-way ANOVA followed by Tukey's multiple comparisons test. Statistical significances from post hoc multiple comparisons were indicated by asterisks: *** p < 0.001. n = 3 cultures/group in assays shown in panels (A) and (B) and n = 9 cultures/group in assays shown in panels (D – G) . (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

    Article Snippet: One hour before the end of treatment, 22 μL of CCK-8 reagent (Cat#: C0005, TargetMol, Boston, MA, USA) was added to each well and incubated for 1 h at 37 °C.

    Techniques: Derivative Assay, Activation Assay, Fluorescence, Phospho-proteomics, CCK-8 Assay, Western Blot, Standard Deviation