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AddexBio Inc min6 cells
Min6 Cells, supplied by AddexBio Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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min6  (ATCC)
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ATCC min6
Surface Plasmon Resonance Microscopy (SPRM) of pancreatic <t>beta-cells</t> ( a ) Schematic presenting the experimental setup for SPRM, depicting the layered structure of gold thin film on glass substrate with cells adhered to the gold surface in Hanks’ balanced salt solution (HBSS). A fiber-coupled laser (690 nm) is collimated before focusing on the back focal plane (BFP) of a high numerical aperture oil immersion objective to produce a collimated beam at the sample. The angle of illumination is varied by laterally scanning the focus on the BFP. The sample is imaged using a 2D CMOS pixelated detector. ( b ) A magnified view of the SPR sensor and cell interface showing the interface layers (glass, Au thin film of 50 nm, medium (HBSS), cell membrane of c. 7 nm thickness, and cytosol), with an illustration of the penetration depth of SPs in both metal and dielectric media. This indicates sensitivity to the cell membrane and the proximal intra- and extracellular spaces. ( c ) SPR curves presenting the reflection coefficient for various angles of incidence, simulated for bare gold with HBSS and for the gold-cell interface respectively. ( d ) The corresponding first derivative of reflectivity with respect to the angle of incidence, showing the variations in the sensitivity of the measurement for optimising the angle of illumination. ( e ) (i). Brightfield microscopy image of live <t>MIN6</t> beta-cells cultured on PLL-modified Au thin film. e (ii), e (iii), and e (iv) are the corresponding SPRM images at different angles of illumination. The angle of incidence is selected in region iii, although this gives reduced sensitivity, it allows simultaneous tracking of cells and the extracellular regions where cells are not present on the sensor.
Min6, supplied by ATCC, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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EpiCypher dispersed mouse min6 cells
A. DEGs identified uniquely in Male Het islets from a mixed background (1238 + 1114 = 2352 genes) versus those uniquely from a C57 background (228 + 855 = 1083 genes) were then overlayed with peaks identified by endogenous MafA CUT&RUN in mouse <t>MIN6</t> <t>cells</t> (n=11403 peaks). Of these, 250 genes uniquely enriched in a C57 background overlapped with a MafA CUT&RUN peak, while 1210 were uniquely enriched in a Mixed background overlapped with a MafA CUT&RUN peak. B. UCSC Genome Browser tracks showing genomic regions associated with endogenous MafA CUT&RUN peaks near known targets Ins1, Ins2, MafB, and Pdx1, and candidate genes Onecut1, Cry2, Per1, and Per2; MafA CUT&RUN enriched peaks are highlighted in dashed boxes, and regulated genes are depicted below IgG control tracks.
Dispersed Mouse Min6 Cells, supplied by EpiCypher, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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ATCC β tc 6 min6 cells
A. DEGs identified uniquely in Male Het islets from a mixed background (1238 + 1114 = 2352 genes) versus those uniquely from a C57 background (228 + 855 = 1083 genes) were then overlayed with peaks identified by endogenous MafA CUT&RUN in mouse <t>MIN6</t> <t>cells</t> (n=11403 peaks). Of these, 250 genes uniquely enriched in a C57 background overlapped with a MafA CUT&RUN peak, while 1210 were uniquely enriched in a Mixed background overlapped with a MafA CUT&RUN peak. B. UCSC Genome Browser tracks showing genomic regions associated with endogenous MafA CUT&RUN peaks near known targets Ins1, Ins2, MafB, and Pdx1, and candidate genes Onecut1, Cry2, Per1, and Per2; MafA CUT&RUN enriched peaks are highlighted in dashed boxes, and regulated genes are depicted below IgG control tracks.
β Tc 6 Min6 Cells, supplied by ATCC, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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ATCC cells except min6
A. DEGs identified uniquely in Male Het islets from a mixed background (1238 + 1114 = 2352 genes) versus those uniquely from a C57 background (228 + 855 = 1083 genes) were then overlayed with peaks identified by endogenous MafA CUT&RUN in mouse <t>MIN6</t> <t>cells</t> (n=11403 peaks). Of these, 250 genes uniquely enriched in a C57 background overlapped with a MafA CUT&RUN peak, while 1210 were uniquely enriched in a Mixed background overlapped with a MafA CUT&RUN peak. B. UCSC Genome Browser tracks showing genomic regions associated with endogenous MafA CUT&RUN peaks near known targets Ins1, Ins2, MafB, and Pdx1, and candidate genes Onecut1, Cry2, Per1, and Per2; MafA CUT&RUN enriched peaks are highlighted in dashed boxes, and regulated genes are depicted below IgG control tracks.
Cells Except Min6, 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 cells except min6 ref
a , b Treatment with MOTS-c or scrambled control (10 μM, 24 h) and hydrogen peroxide (H 2 O 2 , 200 μM, 24 h) in pancreatic islet cells (pooled from two mice per sample) isolated from littermates of 60-week-old C57BL/6 mice ( n = 3 per sample) led to metabolic changes, as shown in the PCA graph ( a ) and the heat map ( b ). c Enrichment analyses of metabolites were performed for control versus MOTS-c and for H 2 O 2 versus H 2 O 2 + MOTS-c. d A diagram depicting the enriched genes and metabolites analyzed in pancreatic islet cells treated with or without MOTS-c and H 2 O 2 (200 μM, 24 h). e A Venn diagram analysis was performed to find shared pathways by comparing these two enrichment analyses. f <t>Min6</t> cells overexpressing either empty vector or MOTS-c were treated with glutamine and the expression of genes Slc1a5 , Slc1a5 variant, Gls1/2 and Cd38 , and Cdkn1a and Cdkn2a were assessed. Two-way ANOVA; the error bars are the s.e.m. * P < 0.05, ** P < 0.01 for difference between empty-vector transfected; ## P < 0.01 for difference between empty-vector transfected treated with 5 mM glutamine and MOTS-c transfected treated with 5 mM glutamine. g Min6 cells overexpressing either an empty vector or MOTS-c were analyzed for protein levels of IGF1R, P16, mito-MOTS-c, nuclear MOTS-c- and mTORC1-related molecules and Gls1 in the presence or absence of glutamine (5 mM), H 2 O 2 (200 μM, 24 h) or both.
Cells Except Min6 Ref, 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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Servicebio Inc min6 cell line
a , b Treatment with MOTS-c or scrambled control (10 μM, 24 h) and hydrogen peroxide (H 2 O 2 , 200 μM, 24 h) in pancreatic islet cells (pooled from two mice per sample) isolated from littermates of 60-week-old C57BL/6 mice ( n = 3 per sample) led to metabolic changes, as shown in the PCA graph ( a ) and the heat map ( b ). c Enrichment analyses of metabolites were performed for control versus MOTS-c and for H 2 O 2 versus H 2 O 2 + MOTS-c. d A diagram depicting the enriched genes and metabolites analyzed in pancreatic islet cells treated with or without MOTS-c and H 2 O 2 (200 μM, 24 h). e A Venn diagram analysis was performed to find shared pathways by comparing these two enrichment analyses. f <t>Min6</t> cells overexpressing either empty vector or MOTS-c were treated with glutamine and the expression of genes Slc1a5 , Slc1a5 variant, Gls1/2 and Cd38 , and Cdkn1a and Cdkn2a were assessed. Two-way ANOVA; the error bars are the s.e.m. * P < 0.05, ** P < 0.01 for difference between empty-vector transfected; ## P < 0.01 for difference between empty-vector transfected treated with 5 mM glutamine and MOTS-c transfected treated with 5 mM glutamine. g Min6 cells overexpressing either an empty vector or MOTS-c were analyzed for protein levels of IGF1R, P16, mito-MOTS-c, nuclear MOTS-c- and mTORC1-related molecules and Gls1 in the presence or absence of glutamine (5 mM), H 2 O 2 (200 μM, 24 h) or both.
Min6 Cell Line, supplied by Servicebio Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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90
AddexBio Inc min6 cells
a , b Treatment with MOTS-c or scrambled control (10 μM, 24 h) and hydrogen peroxide (H 2 O 2 , 200 μM, 24 h) in pancreatic islet cells (pooled from two mice per sample) isolated from littermates of 60-week-old C57BL/6 mice ( n = 3 per sample) led to metabolic changes, as shown in the PCA graph ( a ) and the heat map ( b ). c Enrichment analyses of metabolites were performed for control versus MOTS-c and for H 2 O 2 versus H 2 O 2 + MOTS-c. d A diagram depicting the enriched genes and metabolites analyzed in pancreatic islet cells treated with or without MOTS-c and H 2 O 2 (200 μM, 24 h). e A Venn diagram analysis was performed to find shared pathways by comparing these two enrichment analyses. f <t>Min6</t> cells overexpressing either empty vector or MOTS-c were treated with glutamine and the expression of genes Slc1a5 , Slc1a5 variant, Gls1/2 and Cd38 , and Cdkn1a and Cdkn2a were assessed. Two-way ANOVA; the error bars are the s.e.m. * P < 0.05, ** P < 0.01 for difference between empty-vector transfected; ## P < 0.01 for difference between empty-vector transfected treated with 5 mM glutamine and MOTS-c transfected treated with 5 mM glutamine. g Min6 cells overexpressing either an empty vector or MOTS-c were analyzed for protein levels of IGF1R, P16, mito-MOTS-c, nuclear MOTS-c- and mTORC1-related molecules and Gls1 in the presence or absence of glutamine (5 mM), H 2 O 2 (200 μM, 24 h) or both.
Min6 Cells, supplied by AddexBio Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/min6 cells/product/AddexBio Inc
Average 90 stars, based on 1 article reviews
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90
National Centre for Cell Science pancreatic β-cell line mouse insulinoma 6 (min6)
a , b Treatment with MOTS-c or scrambled control (10 μM, 24 h) and hydrogen peroxide (H 2 O 2 , 200 μM, 24 h) in pancreatic islet cells (pooled from two mice per sample) isolated from littermates of 60-week-old C57BL/6 mice ( n = 3 per sample) led to metabolic changes, as shown in the PCA graph ( a ) and the heat map ( b ). c Enrichment analyses of metabolites were performed for control versus MOTS-c and for H 2 O 2 versus H 2 O 2 + MOTS-c. d A diagram depicting the enriched genes and metabolites analyzed in pancreatic islet cells treated with or without MOTS-c and H 2 O 2 (200 μM, 24 h). e A Venn diagram analysis was performed to find shared pathways by comparing these two enrichment analyses. f <t>Min6</t> cells overexpressing either empty vector or MOTS-c were treated with glutamine and the expression of genes Slc1a5 , Slc1a5 variant, Gls1/2 and Cd38 , and Cdkn1a and Cdkn2a were assessed. Two-way ANOVA; the error bars are the s.e.m. * P < 0.05, ** P < 0.01 for difference between empty-vector transfected; ## P < 0.01 for difference between empty-vector transfected treated with 5 mM glutamine and MOTS-c transfected treated with 5 mM glutamine. g Min6 cells overexpressing either an empty vector or MOTS-c were analyzed for protein levels of IGF1R, P16, mito-MOTS-c, nuclear MOTS-c- and mTORC1-related molecules and Gls1 in the presence or absence of glutamine (5 mM), H 2 O 2 (200 μM, 24 h) or both.
Pancreatic β Cell Line Mouse Insulinoma 6 (Min6), supplied by National Centre for Cell Science, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/pancreatic β-cell line mouse insulinoma 6 (min6)/product/National Centre for Cell Science
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90
AddexBio Inc mouse pancreatic β-cell line min6
Taurine supplement alleviates <t>doxorubicin‐induced</t> <t>β‐cell</t> inflammation and senescence. <t>MIN6</t> cells were pre‐treated with 100 μM taurine for 24 h, followed by 200 nM doxorubicin (DOXO) treatment for 24 h. Cells were cultured in FBS‐free medium to avoid possible contamination of taurine. (A) QPCR analysis of the genes related to inflammation, senescence, and apoptosis in each group of doxorubicin‐induced senescence model. ( n = 3) Relative mRNA levels were normalized to β‐actin. (B) Immunoblotting analysis of p53 and p21 and densitometric quantification. ( n = 3). (C) Immunofluorescence staining of DNA damage marker γ–H2AX in each group (scale bar: 100 μm). ( n = 5). (D) FACS analysis of β‐gal+ PI‐(senescent) and PI+ (dead) MIN6 cells. All results are presented as mean ± SEM. Significance was determined using two‐way ANOVA with Tukey correction. * p < 0.05, ** p < 0.01, *** p < 0.001.
Mouse Pancreatic β Cell Line Min6, supplied by AddexBio Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Surface Plasmon Resonance Microscopy (SPRM) of pancreatic beta-cells ( a ) Schematic presenting the experimental setup for SPRM, depicting the layered structure of gold thin film on glass substrate with cells adhered to the gold surface in Hanks’ balanced salt solution (HBSS). A fiber-coupled laser (690 nm) is collimated before focusing on the back focal plane (BFP) of a high numerical aperture oil immersion objective to produce a collimated beam at the sample. The angle of illumination is varied by laterally scanning the focus on the BFP. The sample is imaged using a 2D CMOS pixelated detector. ( b ) A magnified view of the SPR sensor and cell interface showing the interface layers (glass, Au thin film of 50 nm, medium (HBSS), cell membrane of c. 7 nm thickness, and cytosol), with an illustration of the penetration depth of SPs in both metal and dielectric media. This indicates sensitivity to the cell membrane and the proximal intra- and extracellular spaces. ( c ) SPR curves presenting the reflection coefficient for various angles of incidence, simulated for bare gold with HBSS and for the gold-cell interface respectively. ( d ) The corresponding first derivative of reflectivity with respect to the angle of incidence, showing the variations in the sensitivity of the measurement for optimising the angle of illumination. ( e ) (i). Brightfield microscopy image of live MIN6 beta-cells cultured on PLL-modified Au thin film. e (ii), e (iii), and e (iv) are the corresponding SPRM images at different angles of illumination. The angle of incidence is selected in region iii, although this gives reduced sensitivity, it allows simultaneous tracking of cells and the extracellular regions where cells are not present on the sensor.

Journal: Scientific Reports

Article Title: Plasmonic imaging of living pancreatic beta-cell networks

doi: 10.1038/s41598-025-34094-0

Figure Lengend Snippet: Surface Plasmon Resonance Microscopy (SPRM) of pancreatic beta-cells ( a ) Schematic presenting the experimental setup for SPRM, depicting the layered structure of gold thin film on glass substrate with cells adhered to the gold surface in Hanks’ balanced salt solution (HBSS). A fiber-coupled laser (690 nm) is collimated before focusing on the back focal plane (BFP) of a high numerical aperture oil immersion objective to produce a collimated beam at the sample. The angle of illumination is varied by laterally scanning the focus on the BFP. The sample is imaged using a 2D CMOS pixelated detector. ( b ) A magnified view of the SPR sensor and cell interface showing the interface layers (glass, Au thin film of 50 nm, medium (HBSS), cell membrane of c. 7 nm thickness, and cytosol), with an illustration of the penetration depth of SPs in both metal and dielectric media. This indicates sensitivity to the cell membrane and the proximal intra- and extracellular spaces. ( c ) SPR curves presenting the reflection coefficient for various angles of incidence, simulated for bare gold with HBSS and for the gold-cell interface respectively. ( d ) The corresponding first derivative of reflectivity with respect to the angle of incidence, showing the variations in the sensitivity of the measurement for optimising the angle of illumination. ( e ) (i). Brightfield microscopy image of live MIN6 beta-cells cultured on PLL-modified Au thin film. e (ii), e (iii), and e (iv) are the corresponding SPRM images at different angles of illumination. The angle of incidence is selected in region iii, although this gives reduced sensitivity, it allows simultaneous tracking of cells and the extracellular regions where cells are not present on the sensor.

Article Snippet: The mouse pancreatic cell line, MIN6 (Beta-TC-6, ATCC; CRL-11506), was maintained in high Glucose DMEM (Merck, D5671) supplemented with 10% FBS (Merck, F9665), 10 mM HEPES (Merck, R0887), 50 mg/ml penicillin and streptomycin (Merck, P0781) and 50 mM b-mercaptoethanol (Merck, M3148).

Techniques: SPR Assay, Microscopy, Membrane, Cell Culture, Modification

SPRM reveals correlated oscillations in pancreatic beta-cells. ( a ) Brightfield image of MIN6 cells cultured on PLL-modified Au thin film. ( b ) Corresponding SPRM image with five regions of interest highlighting cells (1, 2 and 3) and the extracellular background (4 and 5). ( c ) Time-resolved reflectivity recorded over 130 s in HBSS with 10 mM glucose for the five regions shown in ( b ), inset shows a magnified view of a selected time window, indicated by t to t’, for the three cells which shows synchronised intensity oscillations. Traces appear synchronised but the background ROIs are anticorrelated. ( d ) Heat map displaying the correlation between signals extracted from ROIs 1 – 5 investigating signaling at the cellular ROIs (1–3) and the background ROIs (4, 5), where cells are not present.

Journal: Scientific Reports

Article Title: Plasmonic imaging of living pancreatic beta-cell networks

doi: 10.1038/s41598-025-34094-0

Figure Lengend Snippet: SPRM reveals correlated oscillations in pancreatic beta-cells. ( a ) Brightfield image of MIN6 cells cultured on PLL-modified Au thin film. ( b ) Corresponding SPRM image with five regions of interest highlighting cells (1, 2 and 3) and the extracellular background (4 and 5). ( c ) Time-resolved reflectivity recorded over 130 s in HBSS with 10 mM glucose for the five regions shown in ( b ), inset shows a magnified view of a selected time window, indicated by t to t’, for the three cells which shows synchronised intensity oscillations. Traces appear synchronised but the background ROIs are anticorrelated. ( d ) Heat map displaying the correlation between signals extracted from ROIs 1 – 5 investigating signaling at the cellular ROIs (1–3) and the background ROIs (4, 5), where cells are not present.

Article Snippet: The mouse pancreatic cell line, MIN6 (Beta-TC-6, ATCC; CRL-11506), was maintained in high Glucose DMEM (Merck, D5671) supplemented with 10% FBS (Merck, F9665), 10 mM HEPES (Merck, R0887), 50 mg/ml penicillin and streptomycin (Merck, P0781) and 50 mM b-mercaptoethanol (Merck, M3148).

Techniques: Cell Culture, Modification

Intracellular calcium oscillations in pancreatic beta cells within HBSS supplemented with 10 mM glucose. ( a ) Fluorescence image of MIN6 cells loaded with FLUO-4, excited at 450–490 nm, with 0–50 regions of interest (ROIs) indicated (0 denotes the background). Average fluorescence image of 3,000 frames of a field of MIN6 cells, with each measured cell labelled to indicate its 2D geography . ( b ) Cross-correlation matrix showing the Pearson correlation coefficients (threshold of 0.3) calculated between ROIs 0–50. ( c ) Exemplary 100-s traces of selected ROIs (band-pass filtered between 0.1 and 5 Hz), including clusters with high correlation {C8, C9}, {C11– C15}, {C16–C21}, {C23, C24}, {C44, C45}, alongside other ROIs selected at random.

Journal: Scientific Reports

Article Title: Plasmonic imaging of living pancreatic beta-cell networks

doi: 10.1038/s41598-025-34094-0

Figure Lengend Snippet: Intracellular calcium oscillations in pancreatic beta cells within HBSS supplemented with 10 mM glucose. ( a ) Fluorescence image of MIN6 cells loaded with FLUO-4, excited at 450–490 nm, with 0–50 regions of interest (ROIs) indicated (0 denotes the background). Average fluorescence image of 3,000 frames of a field of MIN6 cells, with each measured cell labelled to indicate its 2D geography . ( b ) Cross-correlation matrix showing the Pearson correlation coefficients (threshold of 0.3) calculated between ROIs 0–50. ( c ) Exemplary 100-s traces of selected ROIs (band-pass filtered between 0.1 and 5 Hz), including clusters with high correlation {C8, C9}, {C11– C15}, {C16–C21}, {C23, C24}, {C44, C45}, alongside other ROIs selected at random.

Article Snippet: The mouse pancreatic cell line, MIN6 (Beta-TC-6, ATCC; CRL-11506), was maintained in high Glucose DMEM (Merck, D5671) supplemented with 10% FBS (Merck, F9665), 10 mM HEPES (Merck, R0887), 50 mg/ml penicillin and streptomycin (Merck, P0781) and 50 mM b-mercaptoethanol (Merck, M3148).

Techniques: Fluorescence

Synchronised network oscillations are suppressed in the presence of a calcium channel blocker. ( a ) Brightfield image of MIN6 cells cultured on PLL-modified Au thin film. Scale bar 10 μm. ( b ) Corresponding SPRM image with 6 cellular regions of interest. ( c ) Time-series recordings from the six cellular ROIs presenting time-resolved reflectivity, under treatment with: 1) Hanks balanced salt solution (HBSS) without glucose; 2) HBSS supplemented with 10 mM glucose; and 3) HBSS supplemented with 10 mM glucose and 40 µM nifedipine. ( d ) Comparison of the effect of the three treatments on cells displaying the average amplitude profiles of the cells. Prior to identifying the amplitude profile, each signal was filtered between 0.1–15 Hz (see Methods) before standardization using the standard deviation over all the three recordings. Pairwise comparisons were performed using paired t‑tests, with p‑values adjusted for multiple comparisons (n = 6 cells) using the Bonferroni correction. Whiskers extend to 1.5 times the interquartile range (IQR).

Journal: Scientific Reports

Article Title: Plasmonic imaging of living pancreatic beta-cell networks

doi: 10.1038/s41598-025-34094-0

Figure Lengend Snippet: Synchronised network oscillations are suppressed in the presence of a calcium channel blocker. ( a ) Brightfield image of MIN6 cells cultured on PLL-modified Au thin film. Scale bar 10 μm. ( b ) Corresponding SPRM image with 6 cellular regions of interest. ( c ) Time-series recordings from the six cellular ROIs presenting time-resolved reflectivity, under treatment with: 1) Hanks balanced salt solution (HBSS) without glucose; 2) HBSS supplemented with 10 mM glucose; and 3) HBSS supplemented with 10 mM glucose and 40 µM nifedipine. ( d ) Comparison of the effect of the three treatments on cells displaying the average amplitude profiles of the cells. Prior to identifying the amplitude profile, each signal was filtered between 0.1–15 Hz (see Methods) before standardization using the standard deviation over all the three recordings. Pairwise comparisons were performed using paired t‑tests, with p‑values adjusted for multiple comparisons (n = 6 cells) using the Bonferroni correction. Whiskers extend to 1.5 times the interquartile range (IQR).

Article Snippet: The mouse pancreatic cell line, MIN6 (Beta-TC-6, ATCC; CRL-11506), was maintained in high Glucose DMEM (Merck, D5671) supplemented with 10% FBS (Merck, F9665), 10 mM HEPES (Merck, R0887), 50 mg/ml penicillin and streptomycin (Merck, P0781) and 50 mM b-mercaptoethanol (Merck, M3148).

Techniques: Cell Culture, Modification, Comparison, Standard Deviation

Glucose modulation of MIN6 electrical behaviour assessed using MEA recordings. ( a ) Bright-field micrograph of the circular microelectrode array used for recordings, displaying the radial arrangement of electrodes and the central culture region where MIN6 cells were seeded. Scale bar = 1000 μm. ( b ) Impedance-based viability maps for three independent wells (W1-W3). Each heatmap shows the impedance magnitude measured at the electrode–cell interface, serving as a surrogate metric for cell coverage and viability. Higher impedance indicates greater cell attachment. The four rows depict: no glucose, 10 mM glucose, 2 μM nifedipine, and two days after nifedipine treatment, illustrating condition-dependent variations in cell viability and adherence. ( c ) Representative 100-s extracellular voltage traces recorded from the same MEA electrode under three conditions: glucose-free HBSS, HBSS supplemented with 10 mM glucose, and HBSS supplemented with 10 mM glucose plus 2 μM nifedipine. The traces, filtered with a standard 0–15 Hz band-pass, reveal condition-dependent variations in the amplitude of MIN6 electrical activity. ( d ) Frequency-resolved decomposition of the same electrode shown in ( a ). Glucose enhances electrical activity, while nifedipine suppresses it within the 1–15 Hz range.

Journal: Scientific Reports

Article Title: Plasmonic imaging of living pancreatic beta-cell networks

doi: 10.1038/s41598-025-34094-0

Figure Lengend Snippet: Glucose modulation of MIN6 electrical behaviour assessed using MEA recordings. ( a ) Bright-field micrograph of the circular microelectrode array used for recordings, displaying the radial arrangement of electrodes and the central culture region where MIN6 cells were seeded. Scale bar = 1000 μm. ( b ) Impedance-based viability maps for three independent wells (W1-W3). Each heatmap shows the impedance magnitude measured at the electrode–cell interface, serving as a surrogate metric for cell coverage and viability. Higher impedance indicates greater cell attachment. The four rows depict: no glucose, 10 mM glucose, 2 μM nifedipine, and two days after nifedipine treatment, illustrating condition-dependent variations in cell viability and adherence. ( c ) Representative 100-s extracellular voltage traces recorded from the same MEA electrode under three conditions: glucose-free HBSS, HBSS supplemented with 10 mM glucose, and HBSS supplemented with 10 mM glucose plus 2 μM nifedipine. The traces, filtered with a standard 0–15 Hz band-pass, reveal condition-dependent variations in the amplitude of MIN6 electrical activity. ( d ) Frequency-resolved decomposition of the same electrode shown in ( a ). Glucose enhances electrical activity, while nifedipine suppresses it within the 1–15 Hz range.

Article Snippet: The mouse pancreatic cell line, MIN6 (Beta-TC-6, ATCC; CRL-11506), was maintained in high Glucose DMEM (Merck, D5671) supplemented with 10% FBS (Merck, F9665), 10 mM HEPES (Merck, R0887), 50 mg/ml penicillin and streptomycin (Merck, P0781) and 50 mM b-mercaptoethanol (Merck, M3148).

Techniques: Microelectrode Array, Cell Attachment Assay, Activity Assay

Cell-attached patch-clamp recordings of glucose-induced activity in a MIN6 β-cell and quantification of spike frequency. ( a ) Representative current trace recorded under three consecutive conditions: HBSS buffer (0 mM glucose), 10 mM glucose, and 10 mM glucose + 10 µM nifedipine. The black trace shows the analysed current, while grey segments correspond to periods of perfusion during which mechanical noise was introduced. Red ticks mark automatically detected downward current deflections identified as action-current events using a dynamic threshold-based detection algorithm (threshold = baseline – 3 × noise; 50 ms refractory period). Coloured horizontal bars indicate the duration of each condition (blue = HBSS, yellow = HBSS + glucose, green = HBSS + glucose + nifedipine). Expanded regions below illustrate zoomed view of spike events during the baseline and glucose phases, with an inset showing a single representative event (amplitude ≈ 3 pA, width ≈ 0.02 ms). ( b ) Quantification of firing activity for the three conditions for three experiments. Each box represents the distribution of windowed spike rates (10-s windows, 2-s step) across three cells analysed (286 spike events). Box edges denote the inter-quartile range (25th–75th percentile); the centre line shows the median; whiskers extend to 1.5 times the IQR. Diamond symbols indicate the mean rate for each condition. Mean ± SEM firing rates were 0.88 ± 0.06 spikes/s for 0 mM glucose, 1.57 ± 0.07 spikes/s for 10 mM glucose, and 0.26 ± 0.02 spikes/s for 10 mM glucose + 10 µM nifedipine. Nifedipine effectively suppressed activity, consistent with its role as a channel blocker.

Journal: Scientific Reports

Article Title: Plasmonic imaging of living pancreatic beta-cell networks

doi: 10.1038/s41598-025-34094-0

Figure Lengend Snippet: Cell-attached patch-clamp recordings of glucose-induced activity in a MIN6 β-cell and quantification of spike frequency. ( a ) Representative current trace recorded under three consecutive conditions: HBSS buffer (0 mM glucose), 10 mM glucose, and 10 mM glucose + 10 µM nifedipine. The black trace shows the analysed current, while grey segments correspond to periods of perfusion during which mechanical noise was introduced. Red ticks mark automatically detected downward current deflections identified as action-current events using a dynamic threshold-based detection algorithm (threshold = baseline – 3 × noise; 50 ms refractory period). Coloured horizontal bars indicate the duration of each condition (blue = HBSS, yellow = HBSS + glucose, green = HBSS + glucose + nifedipine). Expanded regions below illustrate zoomed view of spike events during the baseline and glucose phases, with an inset showing a single representative event (amplitude ≈ 3 pA, width ≈ 0.02 ms). ( b ) Quantification of firing activity for the three conditions for three experiments. Each box represents the distribution of windowed spike rates (10-s windows, 2-s step) across three cells analysed (286 spike events). Box edges denote the inter-quartile range (25th–75th percentile); the centre line shows the median; whiskers extend to 1.5 times the IQR. Diamond symbols indicate the mean rate for each condition. Mean ± SEM firing rates were 0.88 ± 0.06 spikes/s for 0 mM glucose, 1.57 ± 0.07 spikes/s for 10 mM glucose, and 0.26 ± 0.02 spikes/s for 10 mM glucose + 10 µM nifedipine. Nifedipine effectively suppressed activity, consistent with its role as a channel blocker.

Article Snippet: The mouse pancreatic cell line, MIN6 (Beta-TC-6, ATCC; CRL-11506), was maintained in high Glucose DMEM (Merck, D5671) supplemented with 10% FBS (Merck, F9665), 10 mM HEPES (Merck, R0887), 50 mg/ml penicillin and streptomycin (Merck, P0781) and 50 mM b-mercaptoethanol (Merck, M3148).

Techniques: Patch Clamp, Activity Assay

Network analysis. ( a, b ) Brightfield and SPRM images of MIN6 cells, respectively. Scale bar 10 μm. ( c ) Connectivity matrices for the following conditions: baseline HBSS ( c.i ), HBSS supplemented with 10 mM glucose ( c.ii ) HBSS supplemented with 10 mM glucose and 40 μM nifedipine ( c.iii ). ( d ) Corresponding directed graphs represent cells ROIs as nodes, with edges (i.e. arrows) indicating patterns of directional connectivity and their associated weights. ( e ) Panels e(i) to e(iii) show examples of time series and their associated amplitude envelopes. Time-resolved connectivity, is presented for each of the above experimental conditions, measured via phase locking factor (PLF) and compared to amplitude correlation coefficient (ACC). PLF was calculated for a 10-s window with one second overlaps, for all cells and for each treatment. Similarly, ACC was computed by obtaining undirected correlation between the amplitude envelopes. ( f ) Boxplots depicting the mean undirected PLF (i) and the mean ACC (ii), calculated from their respective dynamic observations and averaged across six cells, are presented in panels e(i) and e(ii). In each boxplot, horizontal lines indicate the median values, while the boxes represent the IQR. Whiskers extend to 1.5 times the IQR. Paired t-tests were performed for multiple comparisons, with all P-values adjusted using the Bonferroni correction.

Journal: Scientific Reports

Article Title: Plasmonic imaging of living pancreatic beta-cell networks

doi: 10.1038/s41598-025-34094-0

Figure Lengend Snippet: Network analysis. ( a, b ) Brightfield and SPRM images of MIN6 cells, respectively. Scale bar 10 μm. ( c ) Connectivity matrices for the following conditions: baseline HBSS ( c.i ), HBSS supplemented with 10 mM glucose ( c.ii ) HBSS supplemented with 10 mM glucose and 40 μM nifedipine ( c.iii ). ( d ) Corresponding directed graphs represent cells ROIs as nodes, with edges (i.e. arrows) indicating patterns of directional connectivity and their associated weights. ( e ) Panels e(i) to e(iii) show examples of time series and their associated amplitude envelopes. Time-resolved connectivity, is presented for each of the above experimental conditions, measured via phase locking factor (PLF) and compared to amplitude correlation coefficient (ACC). PLF was calculated for a 10-s window with one second overlaps, for all cells and for each treatment. Similarly, ACC was computed by obtaining undirected correlation between the amplitude envelopes. ( f ) Boxplots depicting the mean undirected PLF (i) and the mean ACC (ii), calculated from their respective dynamic observations and averaged across six cells, are presented in panels e(i) and e(ii). In each boxplot, horizontal lines indicate the median values, while the boxes represent the IQR. Whiskers extend to 1.5 times the IQR. Paired t-tests were performed for multiple comparisons, with all P-values adjusted using the Bonferroni correction.

Article Snippet: The mouse pancreatic cell line, MIN6 (Beta-TC-6, ATCC; CRL-11506), was maintained in high Glucose DMEM (Merck, D5671) supplemented with 10% FBS (Merck, F9665), 10 mM HEPES (Merck, R0887), 50 mg/ml penicillin and streptomycin (Merck, P0781) and 50 mM b-mercaptoethanol (Merck, M3148).

Techniques:

A. DEGs identified uniquely in Male Het islets from a mixed background (1238 + 1114 = 2352 genes) versus those uniquely from a C57 background (228 + 855 = 1083 genes) were then overlayed with peaks identified by endogenous MafA CUT&RUN in mouse MIN6 cells (n=11403 peaks). Of these, 250 genes uniquely enriched in a C57 background overlapped with a MafA CUT&RUN peak, while 1210 were uniquely enriched in a Mixed background overlapped with a MafA CUT&RUN peak. B. UCSC Genome Browser tracks showing genomic regions associated with endogenous MafA CUT&RUN peaks near known targets Ins1, Ins2, MafB, and Pdx1, and candidate genes Onecut1, Cry2, Per1, and Per2; MafA CUT&RUN enriched peaks are highlighted in dashed boxes, and regulated genes are depicted below IgG control tracks.

Journal: bioRxiv

Article Title: Genetic background influences the phenotypic penetrance by MAFA S64F MODY in male mice

doi: 10.1101/2025.05.20.653758

Figure Lengend Snippet: A. DEGs identified uniquely in Male Het islets from a mixed background (1238 + 1114 = 2352 genes) versus those uniquely from a C57 background (228 + 855 = 1083 genes) were then overlayed with peaks identified by endogenous MafA CUT&RUN in mouse MIN6 cells (n=11403 peaks). Of these, 250 genes uniquely enriched in a C57 background overlapped with a MafA CUT&RUN peak, while 1210 were uniquely enriched in a Mixed background overlapped with a MafA CUT&RUN peak. B. UCSC Genome Browser tracks showing genomic regions associated with endogenous MafA CUT&RUN peaks near known targets Ins1, Ins2, MafB, and Pdx1, and candidate genes Onecut1, Cry2, Per1, and Per2; MafA CUT&RUN enriched peaks are highlighted in dashed boxes, and regulated genes are depicted below IgG control tracks.

Article Snippet: CUT&RUN was performed on 500,000 dispersed mouse MIN6 cells per condition using CUTANA ChIC/CUT&RUN protocol v3.1 (Epicypher).

Techniques: Control

A-B. Immunostaining for MafA show poor detection in Mixed background male Het islets (left) but intact MafA in C57 male Het islets (right). Islets from MafA Λβ included as a negative control. Scale bar, 50μm. C. Left lanes, Western blotting on MIN6 nuclear extract transfected to express either MAFA WT or MAFA S64F shows faster migration in mutant MAFA due to impaired posttranslational modification by phosphorylation. Right lanes, Isolated mouse islets from each genotype and background showed detectable levels of phosphorylated (active) MAFA in C57 background, but relative uniformity of MAFA species with impaired phosphorylation in the Mixed background. D. Quantification of Western blotting bands by Line scan analysis shows greater proportion of phosphorylated MafA species (gray) in Het male islets from the C57 background compared to the Mixed background.

Journal: bioRxiv

Article Title: Genetic background influences the phenotypic penetrance by MAFA S64F MODY in male mice

doi: 10.1101/2025.05.20.653758

Figure Lengend Snippet: A-B. Immunostaining for MafA show poor detection in Mixed background male Het islets (left) but intact MafA in C57 male Het islets (right). Islets from MafA Λβ included as a negative control. Scale bar, 50μm. C. Left lanes, Western blotting on MIN6 nuclear extract transfected to express either MAFA WT or MAFA S64F shows faster migration in mutant MAFA due to impaired posttranslational modification by phosphorylation. Right lanes, Isolated mouse islets from each genotype and background showed detectable levels of phosphorylated (active) MAFA in C57 background, but relative uniformity of MAFA species with impaired phosphorylation in the Mixed background. D. Quantification of Western blotting bands by Line scan analysis shows greater proportion of phosphorylated MafA species (gray) in Het male islets from the C57 background compared to the Mixed background.

Article Snippet: CUT&RUN was performed on 500,000 dispersed mouse MIN6 cells per condition using CUTANA ChIC/CUT&RUN protocol v3.1 (Epicypher).

Techniques: Immunostaining, Negative Control, Western Blot, Transfection, Migration, Mutagenesis, Modification, Phospho-proteomics, Isolation

a , b Treatment with MOTS-c or scrambled control (10 μM, 24 h) and hydrogen peroxide (H 2 O 2 , 200 μM, 24 h) in pancreatic islet cells (pooled from two mice per sample) isolated from littermates of 60-week-old C57BL/6 mice ( n = 3 per sample) led to metabolic changes, as shown in the PCA graph ( a ) and the heat map ( b ). c Enrichment analyses of metabolites were performed for control versus MOTS-c and for H 2 O 2 versus H 2 O 2 + MOTS-c. d A diagram depicting the enriched genes and metabolites analyzed in pancreatic islet cells treated with or without MOTS-c and H 2 O 2 (200 μM, 24 h). e A Venn diagram analysis was performed to find shared pathways by comparing these two enrichment analyses. f Min6 cells overexpressing either empty vector or MOTS-c were treated with glutamine and the expression of genes Slc1a5 , Slc1a5 variant, Gls1/2 and Cd38 , and Cdkn1a and Cdkn2a were assessed. Two-way ANOVA; the error bars are the s.e.m. * P < 0.05, ** P < 0.01 for difference between empty-vector transfected; ## P < 0.01 for difference between empty-vector transfected treated with 5 mM glutamine and MOTS-c transfected treated with 5 mM glutamine. g Min6 cells overexpressing either an empty vector or MOTS-c were analyzed for protein levels of IGF1R, P16, mito-MOTS-c, nuclear MOTS-c- and mTORC1-related molecules and Gls1 in the presence or absence of glutamine (5 mM), H 2 O 2 (200 μM, 24 h) or both.

Journal: Experimental & Molecular Medicine

Article Title: Mitochondrial-encoded peptide MOTS-c prevents pancreatic islet cell senescence to delay diabetes

doi: 10.1038/s12276-025-01521-1

Figure Lengend Snippet: a , b Treatment with MOTS-c or scrambled control (10 μM, 24 h) and hydrogen peroxide (H 2 O 2 , 200 μM, 24 h) in pancreatic islet cells (pooled from two mice per sample) isolated from littermates of 60-week-old C57BL/6 mice ( n = 3 per sample) led to metabolic changes, as shown in the PCA graph ( a ) and the heat map ( b ). c Enrichment analyses of metabolites were performed for control versus MOTS-c and for H 2 O 2 versus H 2 O 2 + MOTS-c. d A diagram depicting the enriched genes and metabolites analyzed in pancreatic islet cells treated with or without MOTS-c and H 2 O 2 (200 μM, 24 h). e A Venn diagram analysis was performed to find shared pathways by comparing these two enrichment analyses. f Min6 cells overexpressing either empty vector or MOTS-c were treated with glutamine and the expression of genes Slc1a5 , Slc1a5 variant, Gls1/2 and Cd38 , and Cdkn1a and Cdkn2a were assessed. Two-way ANOVA; the error bars are the s.e.m. * P < 0.05, ** P < 0.01 for difference between empty-vector transfected; ## P < 0.01 for difference between empty-vector transfected treated with 5 mM glutamine and MOTS-c transfected treated with 5 mM glutamine. g Min6 cells overexpressing either an empty vector or MOTS-c were analyzed for protein levels of IGF1R, P16, mito-MOTS-c, nuclear MOTS-c- and mTORC1-related molecules and Gls1 in the presence or absence of glutamine (5 mM), H 2 O 2 (200 μM, 24 h) or both.

Article Snippet: All cells except Min6 (ref. ) were purchased from ATCC.

Techniques: Control, Isolation, Plasmid Preparation, Expressing, Variant Assay, Transfection

a , b MOTS-c or scrambled ex vivo treatment (10 μM, 24 h) was applied to pancreatic islet cells isolated from four littermates of 60-week-old C57BL/6 mice ( n = 2 per group) to analyze transcriptional changes; these changes were assessed using a PCA plot analyzed by using the scikit-learn Python package ( a ) and a hierarchical heat map ( b ). c – f KEGG and GO analyses (adjusted P value <0.05) indicated that the affected genes are associated with metabolism, cellular communication and signaling and transport ( c ); analysis included: Gene Ontology: biological process (GO: BP) ( d ) Gene Ontology: cellular components (GO: CC) ( e ) Gene Ontology: molecular function (GO: MF) ( f ) were analyzed. g , h The upset plots were used to identify intersecting sets, which are commonly shared genes related to metabolism (pink), signaling (orange) and transport (green); these commonly shared genes, categorized as either upregulated ( g ) or downregulated ( h ) (blue), were displayed in a heat map. i , MOTS-c or scrambled ex vivo treatment (10 μM, 24 h) was applied to pancreatic islet cells isolated from littermates of 60-week-old C57BL/6 mice ( n = 3 per group). j pLJM1-MOTS-c or pLJM1-empty vectors were overexpressed in Min6 cells. Then, cells were treated with or without hydrogen peroxide (200 μM, 24 h) for senescence induction. Subsequently, the expression of genes involved in aspartate–glutamate pathway ( Mdh1 , Mdh1b , Mdh2 , Got1 and Got2 ), EphA5-ephrina5 genes and senescence-related genes ( Cd38 and Grem1 ) were analyzed in both sets.

Journal: Experimental & Molecular Medicine

Article Title: Mitochondrial-encoded peptide MOTS-c prevents pancreatic islet cell senescence to delay diabetes

doi: 10.1038/s12276-025-01521-1

Figure Lengend Snippet: a , b MOTS-c or scrambled ex vivo treatment (10 μM, 24 h) was applied to pancreatic islet cells isolated from four littermates of 60-week-old C57BL/6 mice ( n = 2 per group) to analyze transcriptional changes; these changes were assessed using a PCA plot analyzed by using the scikit-learn Python package ( a ) and a hierarchical heat map ( b ). c – f KEGG and GO analyses (adjusted P value <0.05) indicated that the affected genes are associated with metabolism, cellular communication and signaling and transport ( c ); analysis included: Gene Ontology: biological process (GO: BP) ( d ) Gene Ontology: cellular components (GO: CC) ( e ) Gene Ontology: molecular function (GO: MF) ( f ) were analyzed. g , h The upset plots were used to identify intersecting sets, which are commonly shared genes related to metabolism (pink), signaling (orange) and transport (green); these commonly shared genes, categorized as either upregulated ( g ) or downregulated ( h ) (blue), were displayed in a heat map. i , MOTS-c or scrambled ex vivo treatment (10 μM, 24 h) was applied to pancreatic islet cells isolated from littermates of 60-week-old C57BL/6 mice ( n = 3 per group). j pLJM1-MOTS-c or pLJM1-empty vectors were overexpressed in Min6 cells. Then, cells were treated with or without hydrogen peroxide (200 μM, 24 h) for senescence induction. Subsequently, the expression of genes involved in aspartate–glutamate pathway ( Mdh1 , Mdh1b , Mdh2 , Got1 and Got2 ), EphA5-ephrina5 genes and senescence-related genes ( Cd38 and Grem1 ) were analyzed in both sets.

Article Snippet: All cells except Min6 (ref. ) were purchased from ATCC.

Techniques: Ex Vivo, Isolation, Expressing

a Publicly available datasets ( GSE137027 , GSE64553 , GSE72815 , GSE98440 and GSE102004 ) were analyzed for mtRNR1 (MOTS-c) mRNA expression levels (Supplementary Table ). b To explore the underlying mechanism of MOTS-c regulation in senescence, actinonin (50 μM, 24 h) was used to specifically deplete mtDNA in pancreatic islet cells isolated from 12-week-old C57BL/6 mice. c , Min6 cells were transfected with pGenLenti-empty or pGenLenti-Cdkn2a vectors. In b and c the senescence markers (Igf1r, P16INK4a and γ-H2AX) and mTORC1 pathway-related (p-mTOR-2448, p-p70S6K and p-4EBP-1) proteins were analyzed. The pancreatic islet cells from 12- and 90-week-old mice were treated with either hydrogen peroxide (200 μM, 24 h) and doxorubicin (200 nM, 24 h). d The β-gal + p21 + population in pancreatic islets were analyzed. Two-way ANOVA; the error bars are the s.e.m. * P < 0.05, **** P < 0.0001 for comparison. e Hydrogen peroxide and doxorubicin were treated in pancreatic islet cells isolated from 12- or 90-week-old mice to analyze MOTS-c levels. All western blot data are representative of at least three independent experiments. f Treatment with MOTS-c (10 μM, 24 h), with or without H 2 O 2 (200 μM, 24 h), in pancreatic islet cells isolated from 12-week-old C57BL/6 mice prevented senescence markers, including Cdkn1a , Cdkn2a , Cxcl10 and Il-1b mRNA levels. Two-way ANOVA; the error bars are the s.e.m. * P < 0.05, ** P < 0.01, **** P < 0.0001 for comparison. g Pancreatic islet cells isolated from 12-week-old C57BL/6 mice were treated with H 2 O 2 to analyze protein expression levels of γ-H2AX and P16 INK4A . Housekeeping mitochondrial and cytoplasmic proteins (MTCOII and β-actin) were confirmed by western blot. h Treatment with MOTS-c (10 μM, 24 h) in the presence or absence of H 2 O 2 (200 μM, 24 h) in pancreatic islet cells isolated from 12-week-old C57BL/6 mice ( n = 5 per group) was followed by staining and analysis for β-gal, IL-1β, Cxcl10, IL-6 and Igf1r using flow cytometry. Two-way ANOVA; the error bars are the s.e.m. **** P < 0.0001 for comparison.

Journal: Experimental & Molecular Medicine

Article Title: Mitochondrial-encoded peptide MOTS-c prevents pancreatic islet cell senescence to delay diabetes

doi: 10.1038/s12276-025-01521-1

Figure Lengend Snippet: a Publicly available datasets ( GSE137027 , GSE64553 , GSE72815 , GSE98440 and GSE102004 ) were analyzed for mtRNR1 (MOTS-c) mRNA expression levels (Supplementary Table ). b To explore the underlying mechanism of MOTS-c regulation in senescence, actinonin (50 μM, 24 h) was used to specifically deplete mtDNA in pancreatic islet cells isolated from 12-week-old C57BL/6 mice. c , Min6 cells were transfected with pGenLenti-empty or pGenLenti-Cdkn2a vectors. In b and c the senescence markers (Igf1r, P16INK4a and γ-H2AX) and mTORC1 pathway-related (p-mTOR-2448, p-p70S6K and p-4EBP-1) proteins were analyzed. The pancreatic islet cells from 12- and 90-week-old mice were treated with either hydrogen peroxide (200 μM, 24 h) and doxorubicin (200 nM, 24 h). d The β-gal + p21 + population in pancreatic islets were analyzed. Two-way ANOVA; the error bars are the s.e.m. * P < 0.05, **** P < 0.0001 for comparison. e Hydrogen peroxide and doxorubicin were treated in pancreatic islet cells isolated from 12- or 90-week-old mice to analyze MOTS-c levels. All western blot data are representative of at least three independent experiments. f Treatment with MOTS-c (10 μM, 24 h), with or without H 2 O 2 (200 μM, 24 h), in pancreatic islet cells isolated from 12-week-old C57BL/6 mice prevented senescence markers, including Cdkn1a , Cdkn2a , Cxcl10 and Il-1b mRNA levels. Two-way ANOVA; the error bars are the s.e.m. * P < 0.05, ** P < 0.01, **** P < 0.0001 for comparison. g Pancreatic islet cells isolated from 12-week-old C57BL/6 mice were treated with H 2 O 2 to analyze protein expression levels of γ-H2AX and P16 INK4A . Housekeeping mitochondrial and cytoplasmic proteins (MTCOII and β-actin) were confirmed by western blot. h Treatment with MOTS-c (10 μM, 24 h) in the presence or absence of H 2 O 2 (200 μM, 24 h) in pancreatic islet cells isolated from 12-week-old C57BL/6 mice ( n = 5 per group) was followed by staining and analysis for β-gal, IL-1β, Cxcl10, IL-6 and Igf1r using flow cytometry. Two-way ANOVA; the error bars are the s.e.m. **** P < 0.0001 for comparison.

Article Snippet: All cells except Min6 (ref. ) were purchased from ATCC.

Techniques: Expressing, Isolation, Transfection, Comparison, Western Blot, Staining, Flow Cytometry

Taurine supplement alleviates doxorubicin‐induced β‐cell inflammation and senescence. MIN6 cells were pre‐treated with 100 μM taurine for 24 h, followed by 200 nM doxorubicin (DOXO) treatment for 24 h. Cells were cultured in FBS‐free medium to avoid possible contamination of taurine. (A) QPCR analysis of the genes related to inflammation, senescence, and apoptosis in each group of doxorubicin‐induced senescence model. ( n = 3) Relative mRNA levels were normalized to β‐actin. (B) Immunoblotting analysis of p53 and p21 and densitometric quantification. ( n = 3). (C) Immunofluorescence staining of DNA damage marker γ–H2AX in each group (scale bar: 100 μm). ( n = 5). (D) FACS analysis of β‐gal+ PI‐(senescent) and PI+ (dead) MIN6 cells. All results are presented as mean ± SEM. Significance was determined using two‐way ANOVA with Tukey correction. * p < 0.05, ** p < 0.01, *** p < 0.001.

Journal: Journal of Diabetes

Article Title: Taurine Alleviates Pancreatic β‐Cell Senescence by Inhibition of p53 Pathway

doi: 10.1111/1753-0407.70100

Figure Lengend Snippet: Taurine supplement alleviates doxorubicin‐induced β‐cell inflammation and senescence. MIN6 cells were pre‐treated with 100 μM taurine for 24 h, followed by 200 nM doxorubicin (DOXO) treatment for 24 h. Cells were cultured in FBS‐free medium to avoid possible contamination of taurine. (A) QPCR analysis of the genes related to inflammation, senescence, and apoptosis in each group of doxorubicin‐induced senescence model. ( n = 3) Relative mRNA levels were normalized to β‐actin. (B) Immunoblotting analysis of p53 and p21 and densitometric quantification. ( n = 3). (C) Immunofluorescence staining of DNA damage marker γ–H2AX in each group (scale bar: 100 μm). ( n = 5). (D) FACS analysis of β‐gal+ PI‐(senescent) and PI+ (dead) MIN6 cells. All results are presented as mean ± SEM. Significance was determined using two‐way ANOVA with Tukey correction. * p < 0.05, ** p < 0.01, *** p < 0.001.

Article Snippet: Mouse pancreatic β‐cell line MIN6 (AddexBio Technologies, Cat#C0018008) and rat insulinoma cell INS‐1E (AddexBio Technologies, Cat#C0018009) were cultured in DMEM (Gibco, Cat#12800082) or RPMI 1640 supplemented with 15% FBS, 1% penicillin–streptomycin, and 50 μM β‐mercaptoethanol.

Techniques: Cell Culture, Western Blot, Immunofluorescence, Staining, Marker

Taurine supplementation alleviates TNF‐α‐induced β‐cell inflammation and senescence. MIN6 cells were pre‐treated with 100 μM taurine for 24 h, followed by 20 ng/mL TNF‐α treatment for 24 h. Cells were cultured in FBS‐free medium to avoid possible contamination of taurine. (A) QPCR analysis of the genes related to senescence in each group of TNF‐α‐induced senescence model. ( n = 4). Relative mRNA levels were normalized to β‐actin. (B) QPCR analysis of the genes related to inflammation and apoptosis in each group. ( n = 4). Relative mRNA levels were normalized to β‐actin. (C) Immunoblotting analysis of p53 and p21 in each group and densitometric quantification. ( n = 3). All results are presented as mean ± SEM. Significance was determined using two‐way ANOVA with Tukey correction. * p < 0.05, ** p < 0.01, *** p < 0.001.

Journal: Journal of Diabetes

Article Title: Taurine Alleviates Pancreatic β‐Cell Senescence by Inhibition of p53 Pathway

doi: 10.1111/1753-0407.70100

Figure Lengend Snippet: Taurine supplementation alleviates TNF‐α‐induced β‐cell inflammation and senescence. MIN6 cells were pre‐treated with 100 μM taurine for 24 h, followed by 20 ng/mL TNF‐α treatment for 24 h. Cells were cultured in FBS‐free medium to avoid possible contamination of taurine. (A) QPCR analysis of the genes related to senescence in each group of TNF‐α‐induced senescence model. ( n = 4). Relative mRNA levels were normalized to β‐actin. (B) QPCR analysis of the genes related to inflammation and apoptosis in each group. ( n = 4). Relative mRNA levels were normalized to β‐actin. (C) Immunoblotting analysis of p53 and p21 in each group and densitometric quantification. ( n = 3). All results are presented as mean ± SEM. Significance was determined using two‐way ANOVA with Tukey correction. * p < 0.05, ** p < 0.01, *** p < 0.001.

Article Snippet: Mouse pancreatic β‐cell line MIN6 (AddexBio Technologies, Cat#C0018008) and rat insulinoma cell INS‐1E (AddexBio Technologies, Cat#C0018009) were cultured in DMEM (Gibco, Cat#12800082) or RPMI 1640 supplemented with 15% FBS, 1% penicillin–streptomycin, and 50 μM β‐mercaptoethanol.

Techniques: Cell Culture, Western Blot

β‐cells acquire taurine through Slc6a6‐mediated uptake. (A) QPCR analysis of taurine biosynthesis related genes and its transporter Slc6a6 in MIN6 cells and mouse hepatocytes. The results are presented as relative levels over respective gene expression in mouse hepatocytes. ( n = 4). (B, C) MIN6 cells were transfected with siRNA against Scramble or Slc6a6 for 24 h, followed by treatment with taurine (100 μM) or vehicle for 24 h. (B) Immunoblotting analysis of SLC6A6 protein level in each group. ( n = 3). (C) Intracellular taurine levels in the transfected MIN6 cells. ( n = 4). (D) MIN6 cells were pre‐treated with non‐FBS culture medium. The cells were then treated with taurine (100 μM) for 24 h, followed by treatment with SLC6A6 inhibitor (SLC6A6i) (100 μM) or vehicle for 30 min. Intracellular taurine concentration was measured by LC–MS/MS. ( n = 3). All results are presented as mean ± SEM. Significance was determined using two‐tailed independent student's t ‐test. * p < 0.05, ** p < 0.01, *** p < 0.001.

Journal: Journal of Diabetes

Article Title: Taurine Alleviates Pancreatic β‐Cell Senescence by Inhibition of p53 Pathway

doi: 10.1111/1753-0407.70100

Figure Lengend Snippet: β‐cells acquire taurine through Slc6a6‐mediated uptake. (A) QPCR analysis of taurine biosynthesis related genes and its transporter Slc6a6 in MIN6 cells and mouse hepatocytes. The results are presented as relative levels over respective gene expression in mouse hepatocytes. ( n = 4). (B, C) MIN6 cells were transfected with siRNA against Scramble or Slc6a6 for 24 h, followed by treatment with taurine (100 μM) or vehicle for 24 h. (B) Immunoblotting analysis of SLC6A6 protein level in each group. ( n = 3). (C) Intracellular taurine levels in the transfected MIN6 cells. ( n = 4). (D) MIN6 cells were pre‐treated with non‐FBS culture medium. The cells were then treated with taurine (100 μM) for 24 h, followed by treatment with SLC6A6 inhibitor (SLC6A6i) (100 μM) or vehicle for 30 min. Intracellular taurine concentration was measured by LC–MS/MS. ( n = 3). All results are presented as mean ± SEM. Significance was determined using two‐tailed independent student's t ‐test. * p < 0.05, ** p < 0.01, *** p < 0.001.

Article Snippet: Mouse pancreatic β‐cell line MIN6 (AddexBio Technologies, Cat#C0018008) and rat insulinoma cell INS‐1E (AddexBio Technologies, Cat#C0018009) were cultured in DMEM (Gibco, Cat#12800082) or RPMI 1640 supplemented with 15% FBS, 1% penicillin–streptomycin, and 50 μM β‐mercaptoethanol.

Techniques: Gene Expression, Transfection, Western Blot, Concentration Assay, Liquid Chromatography with Mass Spectroscopy, Two Tailed Test

The protective effects of taurine against β‐cell senescence depend on its transporter SLC6A6. (A, B) MIN6 cells were pre‐treated with the SLC6A6 inhibitor (SLC6A6i) (100 μM) or vehicle for 30 min, followed by treatment with taurine (100 μM) and doxorubicin (200 nM) or vehicle for 24 h in non‐FBS culture medium. The intracellular taurine concentration was then measured by LC–MS/MS. ( n = 3). (B) Immunoblotting analysis of p53 and p21 in each group. (C–F) MIN6 cells were pre‐treated with doxorubicin (200 nM). The cells were then transfected with siRNA against Scramble or Slc6a6 for 24 h, followed by treatment with taurine (100 μM) or vehicle for 24 h. (C) Immunoblotting analysis of SLC6A6, p53, and p21 in each group. ( n = 3). (D) QPCR analysis of gene expressions related to senescence in each group ( n = 4). (E) QPCR analysis of the genes related to β‐cell specific SASP in each group. ( n = 4). (F) QPCR analysis of genes related to inflammation and apoptosis. ( n = 4). All results are presented as mean ± SEM. Significance was determined using two‐way ANOVA with Tukey correction. * p < 0.05, ** p < 0.01, *** p < 0.001.

Journal: Journal of Diabetes

Article Title: Taurine Alleviates Pancreatic β‐Cell Senescence by Inhibition of p53 Pathway

doi: 10.1111/1753-0407.70100

Figure Lengend Snippet: The protective effects of taurine against β‐cell senescence depend on its transporter SLC6A6. (A, B) MIN6 cells were pre‐treated with the SLC6A6 inhibitor (SLC6A6i) (100 μM) or vehicle for 30 min, followed by treatment with taurine (100 μM) and doxorubicin (200 nM) or vehicle for 24 h in non‐FBS culture medium. The intracellular taurine concentration was then measured by LC–MS/MS. ( n = 3). (B) Immunoblotting analysis of p53 and p21 in each group. (C–F) MIN6 cells were pre‐treated with doxorubicin (200 nM). The cells were then transfected with siRNA against Scramble or Slc6a6 for 24 h, followed by treatment with taurine (100 μM) or vehicle for 24 h. (C) Immunoblotting analysis of SLC6A6, p53, and p21 in each group. ( n = 3). (D) QPCR analysis of gene expressions related to senescence in each group ( n = 4). (E) QPCR analysis of the genes related to β‐cell specific SASP in each group. ( n = 4). (F) QPCR analysis of genes related to inflammation and apoptosis. ( n = 4). All results are presented as mean ± SEM. Significance was determined using two‐way ANOVA with Tukey correction. * p < 0.05, ** p < 0.01, *** p < 0.001.

Article Snippet: Mouse pancreatic β‐cell line MIN6 (AddexBio Technologies, Cat#C0018008) and rat insulinoma cell INS‐1E (AddexBio Technologies, Cat#C0018009) were cultured in DMEM (Gibco, Cat#12800082) or RPMI 1640 supplemented with 15% FBS, 1% penicillin–streptomycin, and 50 μM β‐mercaptoethanol.

Techniques: Concentration Assay, Liquid Chromatography with Mass Spectroscopy, Western Blot, Transfection

Taurine mitigates senescence, inflammation, and oxidative stress via a p53‐dependent pathway while preserving mitochondrial function independently of p53. (A–C) MIN6 cells were pre‐treated with DOXO (200 nM). The cells were then transfected with siRNA against scramble or p53 for 24 h, followed by treatment with taurine (100 μM) or vehicle for 24 h. Cells were cultured in FBS‐free medium to avoid possible contamination of taurine. (A) QPCR analysis of the genes related to senescence and inflammation in each group. ( n = 4) Relative mRNA levels were normalized to β‐actin. (B) Cellular content of malondialdehyde (MDA) in each group. ( n = 4). (C) Mitochondrial membrane potential was measured using TMRE mitochondrial membrane potential assay. ( n = 7). All results are presented as mean ± SEM. Significance was determined using two‐way ANOVA with Tukey correction. * p < 0.05, ** p < 0.005, *** p < 0.001.

Journal: Journal of Diabetes

Article Title: Taurine Alleviates Pancreatic β‐Cell Senescence by Inhibition of p53 Pathway

doi: 10.1111/1753-0407.70100

Figure Lengend Snippet: Taurine mitigates senescence, inflammation, and oxidative stress via a p53‐dependent pathway while preserving mitochondrial function independently of p53. (A–C) MIN6 cells were pre‐treated with DOXO (200 nM). The cells were then transfected with siRNA against scramble or p53 for 24 h, followed by treatment with taurine (100 μM) or vehicle for 24 h. Cells were cultured in FBS‐free medium to avoid possible contamination of taurine. (A) QPCR analysis of the genes related to senescence and inflammation in each group. ( n = 4) Relative mRNA levels were normalized to β‐actin. (B) Cellular content of malondialdehyde (MDA) in each group. ( n = 4). (C) Mitochondrial membrane potential was measured using TMRE mitochondrial membrane potential assay. ( n = 7). All results are presented as mean ± SEM. Significance was determined using two‐way ANOVA with Tukey correction. * p < 0.05, ** p < 0.005, *** p < 0.001.

Article Snippet: Mouse pancreatic β‐cell line MIN6 (AddexBio Technologies, Cat#C0018008) and rat insulinoma cell INS‐1E (AddexBio Technologies, Cat#C0018009) were cultured in DMEM (Gibco, Cat#12800082) or RPMI 1640 supplemented with 15% FBS, 1% penicillin–streptomycin, and 50 μM β‐mercaptoethanol.

Techniques: Preserving, Transfection, Cell Culture, Membrane

Identification of Taurine‐CDKN2AIP binding in pancreatic β cells. (A, B) Limited proteolysis‐mass spectrometry (LiP‐MS) was used to screen for taurine interacting proteins in the INS1E β‐cell proteome. Heatmap shows potential taurine binding targets identified by LiP‐MS. Vehicle: N = 3. Taurine: N = 3. (B) p53 pathway related proteins levels between two groups and their binding scores with taurine. (C) Three‐dimensional diagram of the binding modes between human CDKN2AIP and taurine. Taurine potentially binds to CDKN2AIP via residues PRO484, LEU485, LYS486. (D) DARTS analysis using MIN6 cell lysates incubated with taurine. (E) DARTS analysis using INS1E cell lysates incubated with taurine. (F) 500 ng of CDKN2AIP recombinant protein were subjected to SDS‐PAGE and silver staining to assess purity. (G) DARTS analysis using CDKN2AIP recombinant protein incubated with taurine. (H) MIN6 cells treated with taurine (100 μM, 24 h) or vehicle were subjected to immunoprecipitation against CDKN2AIP.

Journal: Journal of Diabetes

Article Title: Taurine Alleviates Pancreatic β‐Cell Senescence by Inhibition of p53 Pathway

doi: 10.1111/1753-0407.70100

Figure Lengend Snippet: Identification of Taurine‐CDKN2AIP binding in pancreatic β cells. (A, B) Limited proteolysis‐mass spectrometry (LiP‐MS) was used to screen for taurine interacting proteins in the INS1E β‐cell proteome. Heatmap shows potential taurine binding targets identified by LiP‐MS. Vehicle: N = 3. Taurine: N = 3. (B) p53 pathway related proteins levels between two groups and their binding scores with taurine. (C) Three‐dimensional diagram of the binding modes between human CDKN2AIP and taurine. Taurine potentially binds to CDKN2AIP via residues PRO484, LEU485, LYS486. (D) DARTS analysis using MIN6 cell lysates incubated with taurine. (E) DARTS analysis using INS1E cell lysates incubated with taurine. (F) 500 ng of CDKN2AIP recombinant protein were subjected to SDS‐PAGE and silver staining to assess purity. (G) DARTS analysis using CDKN2AIP recombinant protein incubated with taurine. (H) MIN6 cells treated with taurine (100 μM, 24 h) or vehicle were subjected to immunoprecipitation against CDKN2AIP.

Article Snippet: Mouse pancreatic β‐cell line MIN6 (AddexBio Technologies, Cat#C0018008) and rat insulinoma cell INS‐1E (AddexBio Technologies, Cat#C0018009) were cultured in DMEM (Gibco, Cat#12800082) or RPMI 1640 supplemented with 15% FBS, 1% penicillin–streptomycin, and 50 μM β‐mercaptoethanol.

Techniques: Binding Assay, Mass Spectrometry, Incubation, Recombinant, SDS Page, Silver Staining, Immunoprecipitation

Taurine treatment accelerates p53 degradation by binding to CDKN2AIP. (A) p53 protein degradation was detected using cycloheximide (CHX, 10 μM) chase assay. (B) HEK 293 cells were transfected with plasmids encoding GFP‐tagged CDKN2AIP (WT) and CDKN2AIP‐triple mutant (MT) for 48 h. DARTS analysis was performed using cell lysates incubated with taurine, followed by immunoblotting analysis as indicated. (C) INS‐1E cells were transfected with plasmids encoding GFP control, GFP‐tagged CDKN2AIP, and its triple mutant for 24 h, followed by taurine treatment for 24 h. Immunoblotting analysis of CDKN2AIP and p53 in each group.

Journal: Journal of Diabetes

Article Title: Taurine Alleviates Pancreatic β‐Cell Senescence by Inhibition of p53 Pathway

doi: 10.1111/1753-0407.70100

Figure Lengend Snippet: Taurine treatment accelerates p53 degradation by binding to CDKN2AIP. (A) p53 protein degradation was detected using cycloheximide (CHX, 10 μM) chase assay. (B) HEK 293 cells were transfected with plasmids encoding GFP‐tagged CDKN2AIP (WT) and CDKN2AIP‐triple mutant (MT) for 48 h. DARTS analysis was performed using cell lysates incubated with taurine, followed by immunoblotting analysis as indicated. (C) INS‐1E cells were transfected with plasmids encoding GFP control, GFP‐tagged CDKN2AIP, and its triple mutant for 24 h, followed by taurine treatment for 24 h. Immunoblotting analysis of CDKN2AIP and p53 in each group.

Article Snippet: Mouse pancreatic β‐cell line MIN6 (AddexBio Technologies, Cat#C0018008) and rat insulinoma cell INS‐1E (AddexBio Technologies, Cat#C0018009) were cultured in DMEM (Gibco, Cat#12800082) or RPMI 1640 supplemented with 15% FBS, 1% penicillin–streptomycin, and 50 μM β‐mercaptoethanol.

Techniques: Binding Assay, Transfection, Mutagenesis, Incubation, Western Blot, Control