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ATCC normal human lung fibroblast cell lines imr 90
Normal Human Lung Fibroblast Cell Lines Imr 90, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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ATCC human lung fibroblast cell line imr
NSMF mitigates replication stress and prevents oncogene-induced senescence. ( A ) SA-β-galactosidase (SA-β-Gal) staining in stable NSMF knockdown (shNSMF #1 and #2) or control (shCtrl) HCT116 cells. Representative images (upper) and quantification of SA-β-gal positive cells (lower). Scale bar, 50 μm. Data are presented as mean ± SEM from 150 cells across seven images obtained from three independent experiments. ** P < .01, *** P < .001, one-way ANOVA followed by Dunnett’s multiple comparisons test. ( B ) GSEA plot showing enrichment of cellular senescence-related genes in RNA-seq data from Nsmf +/+ ; Apc Min/+ and Nsmf −/− ; Apc Min/+ intestinal tumor (upper). Heatmap visualization of differentially expressed senescence- and SASP-related genes between genotypes (lower). ( C ) qRT-PCR analysis of senescence-associated genes in intestinal tumors from Nsmf +/+ ; Apc Min/+ ( n = 4) and Nsmf −/− ; Apc Min/+ ( n = 3) mice. Data represent the mean ± SEM. * P < .05, ** P < .01, *** P < .001, unpaired two-tailed t -test with Holm–Sidak correction for multiple comparisons. ( D ) Western blot analysis of p16INK4A and p21CIP1 in intestinal tumor tissues from Nsmf +/+ ; Apc Min/+ and Nsmf −/− ; Apc Min/+ mice. GAPDH served as a loading control. ( E ) Schematic representation of the experimental design for the oncogene-induced senescence <t>model.</t> <t>IMR-90</t> cells were transduced with lentiviruses encoding either GFP-vector or GFP-NSMF. Following selection, senescence was induced by expression of oncogenic Ras G12V . ( F ) Western blot analysis of the indicated proteins on day 4 after induction of oncogenic Ras G12V expression. α-Tubulin was used as a loading control. ( G ) SA-β-Gal staining in IMR-90 cells 8 days post-transduction. Representative images (left) and quantification of SA-β-Gal positive cells (right). Scale bar, 20um. Data are presented as mean ± SEM ( n = 4–6 independent images per sample). *** P < .001, n.s., not significant, one-way ANOVA followed by Tukey’s HSD test. ( H ) Immunofluorescence analysis of γH2AX in GFP-vector or GFP-NSMF expressing IMR-90 cells with or without Ras G12V . Quantification of γH2AX foci per GFP-positive cell was performed in at least 42 cells per group. Scale bar, 20 μm. Data are presented as median. ** P < .01, **** P < .0001, n.s., not significant, Kruskal–Wallis test followed by Dunn’s multiple comparisons test. All experiments were independently performed at least three times, and representative results are shown. ( I ) Correlation of NSMF expression with genomic instability in pan-cancer analysis. Genomic instability was assessed across 4315 pan-cancer samples from TCGA using multiple genomic instability features, including frequency of LOH, HRD-related LOH frequency, telomeric allelic imbalance, large-scale transitions, mutation burden per sample, and weighted genome integrity index. Tumors were categorized based on genomic instability scores as low (<25%, below first quartile), medium (25%–75%, between first and third quartile), or high (>75%, above third quartile). Statistical comparisons of NSMF expression levels across groups were performed using Wilcoxon rank-sum test. ( J ) Hypothetical model illustrating the role of NSMF in regulating replication stress, highlighting its critical function in alleviating excessive replication stress and preventing cytotoxic DNA damage. This regulatory activity supports a controlled level of genomic instability, thereby promoting CRC progression. Figure was created using BioRender.com.
Human Lung Fibroblast Cell Line Imr, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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ATCC imr 90 mcherry human fibroblast cell line
NSMF mitigates replication stress and prevents oncogene-induced senescence. ( A ) SA-β-galactosidase (SA-β-Gal) staining in stable NSMF knockdown (shNSMF #1 and #2) or control (shCtrl) HCT116 cells. Representative images (upper) and quantification of SA-β-gal positive cells (lower). Scale bar, 50 μm. Data are presented as mean ± SEM from 150 cells across seven images obtained from three independent experiments. ** P < .01, *** P < .001, one-way ANOVA followed by Dunnett’s multiple comparisons test. ( B ) GSEA plot showing enrichment of cellular senescence-related genes in RNA-seq data from Nsmf +/+ ; Apc Min/+ and Nsmf −/− ; Apc Min/+ intestinal tumor (upper). Heatmap visualization of differentially expressed senescence- and SASP-related genes between genotypes (lower). ( C ) qRT-PCR analysis of senescence-associated genes in intestinal tumors from Nsmf +/+ ; Apc Min/+ ( n = 4) and Nsmf −/− ; Apc Min/+ ( n = 3) mice. Data represent the mean ± SEM. * P < .05, ** P < .01, *** P < .001, unpaired two-tailed t -test with Holm–Sidak correction for multiple comparisons. ( D ) Western blot analysis of p16INK4A and p21CIP1 in intestinal tumor tissues from Nsmf +/+ ; Apc Min/+ and Nsmf −/− ; Apc Min/+ mice. GAPDH served as a loading control. ( E ) Schematic representation of the experimental design for the oncogene-induced senescence <t>model.</t> <t>IMR-90</t> cells were transduced with lentiviruses encoding either GFP-vector or GFP-NSMF. Following selection, senescence was induced by expression of oncogenic Ras G12V . ( F ) Western blot analysis of the indicated proteins on day 4 after induction of oncogenic Ras G12V expression. α-Tubulin was used as a loading control. ( G ) SA-β-Gal staining in IMR-90 cells 8 days post-transduction. Representative images (left) and quantification of SA-β-Gal positive cells (right). Scale bar, 20um. Data are presented as mean ± SEM ( n = 4–6 independent images per sample). *** P < .001, n.s., not significant, one-way ANOVA followed by Tukey’s HSD test. ( H ) Immunofluorescence analysis of γH2AX in GFP-vector or GFP-NSMF expressing IMR-90 cells with or without Ras G12V . Quantification of γH2AX foci per GFP-positive cell was performed in at least 42 cells per group. Scale bar, 20 μm. Data are presented as median. ** P < .01, **** P < .0001, n.s., not significant, Kruskal–Wallis test followed by Dunn’s multiple comparisons test. All experiments were independently performed at least three times, and representative results are shown. ( I ) Correlation of NSMF expression with genomic instability in pan-cancer analysis. Genomic instability was assessed across 4315 pan-cancer samples from TCGA using multiple genomic instability features, including frequency of LOH, HRD-related LOH frequency, telomeric allelic imbalance, large-scale transitions, mutation burden per sample, and weighted genome integrity index. Tumors were categorized based on genomic instability scores as low (<25%, below first quartile), medium (25%–75%, between first and third quartile), or high (>75%, above third quartile). Statistical comparisons of NSMF expression levels across groups were performed using Wilcoxon rank-sum test. ( J ) Hypothetical model illustrating the role of NSMF in regulating replication stress, highlighting its critical function in alleviating excessive replication stress and preventing cytotoxic DNA damage. This regulatory activity supports a controlled level of genomic instability, thereby promoting CRC progression. Figure was created using BioRender.com.
Imr 90 Mcherry Human Fibroblast Cell Line, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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ATCC imr90 cells
NSMF mitigates replication stress and prevents oncogene-induced senescence. ( A ) SA-β-galactosidase (SA-β-Gal) staining in stable NSMF knockdown (shNSMF #1 and #2) or control (shCtrl) HCT116 cells. Representative images (upper) and quantification of SA-β-gal positive cells (lower). Scale bar, 50 μm. Data are presented as mean ± SEM from 150 cells across seven images obtained from three independent experiments. ** P < .01, *** P < .001, one-way ANOVA followed by Dunnett’s multiple comparisons test. ( B ) GSEA plot showing enrichment of cellular senescence-related genes in RNA-seq data from Nsmf +/+ ; Apc Min/+ and Nsmf −/− ; Apc Min/+ intestinal tumor (upper). Heatmap visualization of differentially expressed senescence- and SASP-related genes between genotypes (lower). ( C ) qRT-PCR analysis of senescence-associated genes in intestinal tumors from Nsmf +/+ ; Apc Min/+ ( n = 4) and Nsmf −/− ; Apc Min/+ ( n = 3) mice. Data represent the mean ± SEM. * P < .05, ** P < .01, *** P < .001, unpaired two-tailed t -test with Holm–Sidak correction for multiple comparisons. ( D ) Western blot analysis of p16INK4A and p21CIP1 in intestinal tumor tissues from Nsmf +/+ ; Apc Min/+ and Nsmf −/− ; Apc Min/+ mice. GAPDH served as a loading control. ( E ) Schematic representation of the experimental design for the oncogene-induced senescence <t>model.</t> <t>IMR-90</t> cells were transduced with lentiviruses encoding either GFP-vector or GFP-NSMF. Following selection, senescence was induced by expression of oncogenic Ras G12V . ( F ) Western blot analysis of the indicated proteins on day 4 after induction of oncogenic Ras G12V expression. α-Tubulin was used as a loading control. ( G ) SA-β-Gal staining in IMR-90 cells 8 days post-transduction. Representative images (left) and quantification of SA-β-Gal positive cells (right). Scale bar, 20um. Data are presented as mean ± SEM ( n = 4–6 independent images per sample). *** P < .001, n.s., not significant, one-way ANOVA followed by Tukey’s HSD test. ( H ) Immunofluorescence analysis of γH2AX in GFP-vector or GFP-NSMF expressing IMR-90 cells with or without Ras G12V . Quantification of γH2AX foci per GFP-positive cell was performed in at least 42 cells per group. Scale bar, 20 μm. Data are presented as median. ** P < .01, **** P < .0001, n.s., not significant, Kruskal–Wallis test followed by Dunn’s multiple comparisons test. All experiments were independently performed at least three times, and representative results are shown. ( I ) Correlation of NSMF expression with genomic instability in pan-cancer analysis. Genomic instability was assessed across 4315 pan-cancer samples from TCGA using multiple genomic instability features, including frequency of LOH, HRD-related LOH frequency, telomeric allelic imbalance, large-scale transitions, mutation burden per sample, and weighted genome integrity index. Tumors were categorized based on genomic instability scores as low (<25%, below first quartile), medium (25%–75%, between first and third quartile), or high (>75%, above third quartile). Statistical comparisons of NSMF expression levels across groups were performed using Wilcoxon rank-sum test. ( J ) Hypothetical model illustrating the role of NSMF in regulating replication stress, highlighting its critical function in alleviating excessive replication stress and preventing cytotoxic DNA damage. This regulatory activity supports a controlled level of genomic instability, thereby promoting CRC progression. Figure was created using BioRender.com.
Imr90 Cells, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/imr90 cells/product/ATCC
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imr90 cells - by Bioz Stars, 2026-02
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ATCC non cancer cell line imr90 human lung fibroblast
NSMF mitigates replication stress and prevents oncogene-induced senescence. ( A ) SA-β-galactosidase (SA-β-Gal) staining in stable NSMF knockdown (shNSMF #1 and #2) or control (shCtrl) HCT116 cells. Representative images (upper) and quantification of SA-β-gal positive cells (lower). Scale bar, 50 μm. Data are presented as mean ± SEM from 150 cells across seven images obtained from three independent experiments. ** P < .01, *** P < .001, one-way ANOVA followed by Dunnett’s multiple comparisons test. ( B ) GSEA plot showing enrichment of cellular senescence-related genes in RNA-seq data from Nsmf +/+ ; Apc Min/+ and Nsmf −/− ; Apc Min/+ intestinal tumor (upper). Heatmap visualization of differentially expressed senescence- and SASP-related genes between genotypes (lower). ( C ) qRT-PCR analysis of senescence-associated genes in intestinal tumors from Nsmf +/+ ; Apc Min/+ ( n = 4) and Nsmf −/− ; Apc Min/+ ( n = 3) mice. Data represent the mean ± SEM. * P < .05, ** P < .01, *** P < .001, unpaired two-tailed t -test with Holm–Sidak correction for multiple comparisons. ( D ) Western blot analysis of p16INK4A and p21CIP1 in intestinal tumor tissues from Nsmf +/+ ; Apc Min/+ and Nsmf −/− ; Apc Min/+ mice. GAPDH served as a loading control. ( E ) Schematic representation of the experimental design for the oncogene-induced senescence <t>model.</t> <t>IMR-90</t> cells were transduced with lentiviruses encoding either GFP-vector or GFP-NSMF. Following selection, senescence was induced by expression of oncogenic Ras G12V . ( F ) Western blot analysis of the indicated proteins on day 4 after induction of oncogenic Ras G12V expression. α-Tubulin was used as a loading control. ( G ) SA-β-Gal staining in IMR-90 cells 8 days post-transduction. Representative images (left) and quantification of SA-β-Gal positive cells (right). Scale bar, 20um. Data are presented as mean ± SEM ( n = 4–6 independent images per sample). *** P < .001, n.s., not significant, one-way ANOVA followed by Tukey’s HSD test. ( H ) Immunofluorescence analysis of γH2AX in GFP-vector or GFP-NSMF expressing IMR-90 cells with or without Ras G12V . Quantification of γH2AX foci per GFP-positive cell was performed in at least 42 cells per group. Scale bar, 20 μm. Data are presented as median. ** P < .01, **** P < .0001, n.s., not significant, Kruskal–Wallis test followed by Dunn’s multiple comparisons test. All experiments were independently performed at least three times, and representative results are shown. ( I ) Correlation of NSMF expression with genomic instability in pan-cancer analysis. Genomic instability was assessed across 4315 pan-cancer samples from TCGA using multiple genomic instability features, including frequency of LOH, HRD-related LOH frequency, telomeric allelic imbalance, large-scale transitions, mutation burden per sample, and weighted genome integrity index. Tumors were categorized based on genomic instability scores as low (<25%, below first quartile), medium (25%–75%, between first and third quartile), or high (>75%, above third quartile). Statistical comparisons of NSMF expression levels across groups were performed using Wilcoxon rank-sum test. ( J ) Hypothetical model illustrating the role of NSMF in regulating replication stress, highlighting its critical function in alleviating excessive replication stress and preventing cytotoxic DNA damage. This regulatory activity supports a controlled level of genomic instability, thereby promoting CRC progression. Figure was created using BioRender.com.
Non Cancer Cell Line Imr90 Human Lung Fibroblast, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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ATCC cell lines imr 90 ccl 186
Table (a) and histogram (b) showing the IC 50 values (concentration that inhibits the 50% of cell proliferation compared to untreated cells) after 24 h of treatment, obtained from the dose–response model, expressed in μM ± SD (standard deviation) of investigated organic salts toward HeLa, HCT-116, MDA-MB-231, and SK-MEL 28 cancer cell lines <t>and</t> <t>IMR-90</t> and hTERT RPE-1 normal cell lines.
Cell Lines Imr 90 Ccl 186, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/cell lines imr 90 ccl 186/product/ATCC
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cell lines imr 90 ccl 186 - by Bioz Stars, 2026-02
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ATCC cell lines vero cell line atcc ccl
Table (a) and histogram (b) showing the IC 50 values (concentration that inhibits the 50% of cell proliferation compared to untreated cells) after 24 h of treatment, obtained from the dose–response model, expressed in μM ± SD (standard deviation) of investigated organic salts toward HeLa, HCT-116, MDA-MB-231, and SK-MEL 28 cancer cell lines <t>and</t> <t>IMR-90</t> and hTERT RPE-1 normal cell lines.
Cell Lines Vero Cell Line Atcc Ccl, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/cell lines vero cell line atcc ccl/product/ATCC
Average 99 stars, based on 1 article reviews
cell lines vero cell line atcc ccl - by Bioz Stars, 2026-02
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Image Search Results


NSMF mitigates replication stress and prevents oncogene-induced senescence. ( A ) SA-β-galactosidase (SA-β-Gal) staining in stable NSMF knockdown (shNSMF #1 and #2) or control (shCtrl) HCT116 cells. Representative images (upper) and quantification of SA-β-gal positive cells (lower). Scale bar, 50 μm. Data are presented as mean ± SEM from 150 cells across seven images obtained from three independent experiments. ** P < .01, *** P < .001, one-way ANOVA followed by Dunnett’s multiple comparisons test. ( B ) GSEA plot showing enrichment of cellular senescence-related genes in RNA-seq data from Nsmf +/+ ; Apc Min/+ and Nsmf −/− ; Apc Min/+ intestinal tumor (upper). Heatmap visualization of differentially expressed senescence- and SASP-related genes between genotypes (lower). ( C ) qRT-PCR analysis of senescence-associated genes in intestinal tumors from Nsmf +/+ ; Apc Min/+ ( n = 4) and Nsmf −/− ; Apc Min/+ ( n = 3) mice. Data represent the mean ± SEM. * P < .05, ** P < .01, *** P < .001, unpaired two-tailed t -test with Holm–Sidak correction for multiple comparisons. ( D ) Western blot analysis of p16INK4A and p21CIP1 in intestinal tumor tissues from Nsmf +/+ ; Apc Min/+ and Nsmf −/− ; Apc Min/+ mice. GAPDH served as a loading control. ( E ) Schematic representation of the experimental design for the oncogene-induced senescence model. IMR-90 cells were transduced with lentiviruses encoding either GFP-vector or GFP-NSMF. Following selection, senescence was induced by expression of oncogenic Ras G12V . ( F ) Western blot analysis of the indicated proteins on day 4 after induction of oncogenic Ras G12V expression. α-Tubulin was used as a loading control. ( G ) SA-β-Gal staining in IMR-90 cells 8 days post-transduction. Representative images (left) and quantification of SA-β-Gal positive cells (right). Scale bar, 20um. Data are presented as mean ± SEM ( n = 4–6 independent images per sample). *** P < .001, n.s., not significant, one-way ANOVA followed by Tukey’s HSD test. ( H ) Immunofluorescence analysis of γH2AX in GFP-vector or GFP-NSMF expressing IMR-90 cells with or without Ras G12V . Quantification of γH2AX foci per GFP-positive cell was performed in at least 42 cells per group. Scale bar, 20 μm. Data are presented as median. ** P < .01, **** P < .0001, n.s., not significant, Kruskal–Wallis test followed by Dunn’s multiple comparisons test. All experiments were independently performed at least three times, and representative results are shown. ( I ) Correlation of NSMF expression with genomic instability in pan-cancer analysis. Genomic instability was assessed across 4315 pan-cancer samples from TCGA using multiple genomic instability features, including frequency of LOH, HRD-related LOH frequency, telomeric allelic imbalance, large-scale transitions, mutation burden per sample, and weighted genome integrity index. Tumors were categorized based on genomic instability scores as low (<25%, below first quartile), medium (25%–75%, between first and third quartile), or high (>75%, above third quartile). Statistical comparisons of NSMF expression levels across groups were performed using Wilcoxon rank-sum test. ( J ) Hypothetical model illustrating the role of NSMF in regulating replication stress, highlighting its critical function in alleviating excessive replication stress and preventing cytotoxic DNA damage. This regulatory activity supports a controlled level of genomic instability, thereby promoting CRC progression. Figure was created using BioRender.com.

Journal: Nucleic Acids Research

Article Title: NSMF modulates replication stress to facilitate colorectal cancer progression

doi: 10.1093/nar/gkaf1521

Figure Lengend Snippet: NSMF mitigates replication stress and prevents oncogene-induced senescence. ( A ) SA-β-galactosidase (SA-β-Gal) staining in stable NSMF knockdown (shNSMF #1 and #2) or control (shCtrl) HCT116 cells. Representative images (upper) and quantification of SA-β-gal positive cells (lower). Scale bar, 50 μm. Data are presented as mean ± SEM from 150 cells across seven images obtained from three independent experiments. ** P < .01, *** P < .001, one-way ANOVA followed by Dunnett’s multiple comparisons test. ( B ) GSEA plot showing enrichment of cellular senescence-related genes in RNA-seq data from Nsmf +/+ ; Apc Min/+ and Nsmf −/− ; Apc Min/+ intestinal tumor (upper). Heatmap visualization of differentially expressed senescence- and SASP-related genes between genotypes (lower). ( C ) qRT-PCR analysis of senescence-associated genes in intestinal tumors from Nsmf +/+ ; Apc Min/+ ( n = 4) and Nsmf −/− ; Apc Min/+ ( n = 3) mice. Data represent the mean ± SEM. * P < .05, ** P < .01, *** P < .001, unpaired two-tailed t -test with Holm–Sidak correction for multiple comparisons. ( D ) Western blot analysis of p16INK4A and p21CIP1 in intestinal tumor tissues from Nsmf +/+ ; Apc Min/+ and Nsmf −/− ; Apc Min/+ mice. GAPDH served as a loading control. ( E ) Schematic representation of the experimental design for the oncogene-induced senescence model. IMR-90 cells were transduced with lentiviruses encoding either GFP-vector or GFP-NSMF. Following selection, senescence was induced by expression of oncogenic Ras G12V . ( F ) Western blot analysis of the indicated proteins on day 4 after induction of oncogenic Ras G12V expression. α-Tubulin was used as a loading control. ( G ) SA-β-Gal staining in IMR-90 cells 8 days post-transduction. Representative images (left) and quantification of SA-β-Gal positive cells (right). Scale bar, 20um. Data are presented as mean ± SEM ( n = 4–6 independent images per sample). *** P < .001, n.s., not significant, one-way ANOVA followed by Tukey’s HSD test. ( H ) Immunofluorescence analysis of γH2AX in GFP-vector or GFP-NSMF expressing IMR-90 cells with or without Ras G12V . Quantification of γH2AX foci per GFP-positive cell was performed in at least 42 cells per group. Scale bar, 20 μm. Data are presented as median. ** P < .01, **** P < .0001, n.s., not significant, Kruskal–Wallis test followed by Dunn’s multiple comparisons test. All experiments were independently performed at least three times, and representative results are shown. ( I ) Correlation of NSMF expression with genomic instability in pan-cancer analysis. Genomic instability was assessed across 4315 pan-cancer samples from TCGA using multiple genomic instability features, including frequency of LOH, HRD-related LOH frequency, telomeric allelic imbalance, large-scale transitions, mutation burden per sample, and weighted genome integrity index. Tumors were categorized based on genomic instability scores as low (<25%, below first quartile), medium (25%–75%, between first and third quartile), or high (>75%, above third quartile). Statistical comparisons of NSMF expression levels across groups were performed using Wilcoxon rank-sum test. ( J ) Hypothetical model illustrating the role of NSMF in regulating replication stress, highlighting its critical function in alleviating excessive replication stress and preventing cytotoxic DNA damage. This regulatory activity supports a controlled level of genomic instability, thereby promoting CRC progression. Figure was created using BioRender.com.

Article Snippet: The normal colon-derived cell line CCD-18Co, human CRC cell lines HCT116, and the human lung fibroblast cell line IMR-90 were obtained from the American Type Culture Collection (ATCC, Manassas, VA).

Techniques: Staining, Knockdown, Control, RNA Sequencing, Quantitative RT-PCR, Two Tailed Test, Western Blot, Transduction, Plasmid Preparation, Selection, Expressing, Immunofluorescence, Mutagenesis, Activity Assay

Table (a) and histogram (b) showing the IC 50 values (concentration that inhibits the 50% of cell proliferation compared to untreated cells) after 24 h of treatment, obtained from the dose–response model, expressed in μM ± SD (standard deviation) of investigated organic salts toward HeLa, HCT-116, MDA-MB-231, and SK-MEL 28 cancer cell lines and IMR-90 and hTERT RPE-1 normal cell lines.

Journal: ACS Omega

Article Title: Unravelling the Properties of Fluorescent Ammonium Salts to Obtain Thixotropic Hydrogels with Antitumoral Activity

doi: 10.1021/acsomega.5c06795

Figure Lengend Snippet: Table (a) and histogram (b) showing the IC 50 values (concentration that inhibits the 50% of cell proliferation compared to untreated cells) after 24 h of treatment, obtained from the dose–response model, expressed in μM ± SD (standard deviation) of investigated organic salts toward HeLa, HCT-116, MDA-MB-231, and SK-MEL 28 cancer cell lines and IMR-90 and hTERT RPE-1 normal cell lines.

Article Snippet: The HCT-116 (CCL-247) (colon cancer), HeLa (CRM-CCL-2) (cervical cancer), MDA-MB-231 (HTB-26) (breast cancer), SK-MEL 28 (HTB-72) (melanoma), and the normal cell lines IMR-90 (CCL-186) (pulmonary fibroblasts) and hTERT RPE-1 (CRL-4000) (epithelial) were purchased from the American Type Culture Collection (ATCC, Manassas, VA, USA) and were maintained in Dulbecco’s modified Eagle medium (DMEM) (Gibco, Paisley, UK), supplemented with 10% heat-inactivated fetal bovine serum, 100 U/mL penicillin, and 100 μg/mL streptomycin, at 37 °C and 5% CO 2 , as already described.

Techniques: Concentration Assay, Standard Deviation