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microarrays for human, mouse, and rat circrnas  (Arraystar inc)

 
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    Arraystar inc microarrays for human, mouse, and rat circrnas
    Microarrays For Human, Mouse, And Rat Circrnas, supplied by Arraystar 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/product/mouse+circrna+microarray/microarrays+human++mouse+rat+circrnas/pmc08663548-107-8-0
    Average 90 stars, based on 1 article reviews
    microarrays for human, mouse, and rat circrnas - by Bioz Stars, 2026-08
    90/100 stars

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    Characterization of circular RNA <t>(circRNA)</t> expression profiles in adult and aged SkMSCs. ( A ) Volcano plots were used to evaluate differences in circRNA expression between adult and aged SkMSCs. The horizontal line represents a 2.0-fold (log2 scaled) difference in expression and the vertical lines represent P = 0.05 (–log10 scaled). ( B ) Hierarchical clustering of circRNA expression profiles. Red and green indicate high and low relative expression, respectively. The red and green points in the plot represent the significantly differentially expressed circRNAs. ( C ) circRNA FUT10 mRNA expression in the above two groups. ( D ) MTT assay showing adult and aged SkMSC proliferation. ( E ) Immunofluorescence analysis of MyHC and MyoD expression in adult and aged SkMSCs. ( F ) Quantification of MyHC and MyoD. Each bar represents the mean ± SEM. *P < 0.05, **P < 0.01. All experiments were performed at least three times with duplication within each individual experiment.
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    Arraystar inc microarrays human, mouse rat circrnas
    Characterization of circular RNA <t>(circRNA)</t> expression profiles in adult and aged SkMSCs. ( A ) Volcano plots were used to evaluate differences in circRNA expression between adult and aged SkMSCs. The horizontal line represents a 2.0-fold (log2 scaled) difference in expression and the vertical lines represent P = 0.05 (–log10 scaled). ( B ) Hierarchical clustering of circRNA expression profiles. Red and green indicate high and low relative expression, respectively. The red and green points in the plot represent the significantly differentially expressed circRNAs. ( C ) circRNA FUT10 mRNA expression in the above two groups. ( D ) MTT assay showing adult and aged SkMSC proliferation. ( E ) Immunofluorescence analysis of MyHC and MyoD expression in adult and aged SkMSCs. ( F ) Quantification of MyHC and MyoD. Each bar represents the mean ± SEM. *P < 0.05, **P < 0.01. All experiments were performed at least three times with duplication within each individual experiment.
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    Image Search Results


    Characterization of circular RNA (circRNA) expression profiles in adult and aged SkMSCs. ( A ) Volcano plots were used to evaluate differences in circRNA expression between adult and aged SkMSCs. The horizontal line represents a 2.0-fold (log2 scaled) difference in expression and the vertical lines represent P = 0.05 (–log10 scaled). ( B ) Hierarchical clustering of circRNA expression profiles. Red and green indicate high and low relative expression, respectively. The red and green points in the plot represent the significantly differentially expressed circRNAs. ( C ) circRNA FUT10 mRNA expression in the above two groups. ( D ) MTT assay showing adult and aged SkMSC proliferation. ( E ) Immunofluorescence analysis of MyHC and MyoD expression in adult and aged SkMSCs. ( F ) Quantification of MyHC and MyoD. Each bar represents the mean ± SEM. *P < 0.05, **P < 0.01. All experiments were performed at least three times with duplication within each individual experiment.

    Journal: Aging (Albany NY)

    Article Title: CircRNA FUT10 regulates the regenerative potential of aged skeletal muscle stem cells by targeting HOXA9

    doi: 10.18632/aging.203233

    Figure Lengend Snippet: Characterization of circular RNA (circRNA) expression profiles in adult and aged SkMSCs. ( A ) Volcano plots were used to evaluate differences in circRNA expression between adult and aged SkMSCs. The horizontal line represents a 2.0-fold (log2 scaled) difference in expression and the vertical lines represent P = 0.05 (–log10 scaled). ( B ) Hierarchical clustering of circRNA expression profiles. Red and green indicate high and low relative expression, respectively. The red and green points in the plot represent the significantly differentially expressed circRNAs. ( C ) circRNA FUT10 mRNA expression in the above two groups. ( D ) MTT assay showing adult and aged SkMSC proliferation. ( E ) Immunofluorescence analysis of MyHC and MyoD expression in adult and aged SkMSCs. ( F ) Quantification of MyHC and MyoD. Each bar represents the mean ± SEM. *P < 0.05, **P < 0.01. All experiments were performed at least three times with duplication within each individual experiment.

    Article Snippet: In total, 9,572 expressed circRNAs were detected using an Arraystar mouse circRNA microarray.

    Techniques: Expressing, MTT Assay, Immunofluorescence

    Effect of circFUT10 on SkMSC proliferation and differentiation. ( A ) Adult SkMSCs were transfected with circRNA FUT10 overexpression vector, while aged SkMSCs were transfected with circFUT10 small interfering RNA for circRNA FUT10 knock down. circRNA FUT10 mRNA was analyzed using real-time qPCR. ( B ) SkMSC proliferation was measured by EdU assays. ( C ) Quantification of EdU-positive cells. ( D ) Western blot analysis showing MyHC and MyoD expression in different groups. ( E ) Quantification of MyHC and MyoD were normalized to β-actin. Each bar represents the mean ± SEM. *P < 0.05, **P < 0.01. All experiments were performed at least three times with duplication within each individual experiment.

    Journal: Aging (Albany NY)

    Article Title: CircRNA FUT10 regulates the regenerative potential of aged skeletal muscle stem cells by targeting HOXA9

    doi: 10.18632/aging.203233

    Figure Lengend Snippet: Effect of circFUT10 on SkMSC proliferation and differentiation. ( A ) Adult SkMSCs were transfected with circRNA FUT10 overexpression vector, while aged SkMSCs were transfected with circFUT10 small interfering RNA for circRNA FUT10 knock down. circRNA FUT10 mRNA was analyzed using real-time qPCR. ( B ) SkMSC proliferation was measured by EdU assays. ( C ) Quantification of EdU-positive cells. ( D ) Western blot analysis showing MyHC and MyoD expression in different groups. ( E ) Quantification of MyHC and MyoD were normalized to β-actin. Each bar represents the mean ± SEM. *P < 0.05, **P < 0.01. All experiments were performed at least three times with duplication within each individual experiment.

    Article Snippet: In total, 9,572 expressed circRNAs were detected using an Arraystar mouse circRNA microarray.

    Techniques: Transfection, Over Expression, Plasmid Preparation, Small Interfering RNA, Western Blot, Expressing

    CircRNA FUT10 sponges miR-365a-3p. ( A ) starBase software was used to predict miR-365a-3p binding sites on circRNA FUT10. Dual-luciferase reporter assays validated the miR-365a-3p binding sites on circRNA FUT10 in ( B ) adult and ( C ) aged SkMSCs. ( D ) RNA pull-down assay results indicated that miR-365a-3p binding to circRNA FUT10 probes was enriched. ( E ) miR-365a-3p was analyzed by qPCR. Each bar represents the mean ± SEM. *P < 0.05. All experiments were performed at least three times with duplication within each individual experiment.

    Journal: Aging (Albany NY)

    Article Title: CircRNA FUT10 regulates the regenerative potential of aged skeletal muscle stem cells by targeting HOXA9

    doi: 10.18632/aging.203233

    Figure Lengend Snippet: CircRNA FUT10 sponges miR-365a-3p. ( A ) starBase software was used to predict miR-365a-3p binding sites on circRNA FUT10. Dual-luciferase reporter assays validated the miR-365a-3p binding sites on circRNA FUT10 in ( B ) adult and ( C ) aged SkMSCs. ( D ) RNA pull-down assay results indicated that miR-365a-3p binding to circRNA FUT10 probes was enriched. ( E ) miR-365a-3p was analyzed by qPCR. Each bar represents the mean ± SEM. *P < 0.05. All experiments were performed at least three times with duplication within each individual experiment.

    Article Snippet: In total, 9,572 expressed circRNAs were detected using an Arraystar mouse circRNA microarray.

    Techniques: Software, Binding Assay, Luciferase, Pull Down Assay

    CircRNA FUT10 suppresses SkMSC proliferation and differentiation by targeting miR-365a-3p. ( A ) circRNA FUT10 overexpression vectors, miR-365a-3p mimics, and circRNA FUT10 + miR-365a-3p were transfected into SkMSCs. miR-365a-3p expression was examined by real-time qPCR. ( B ) EdU assay results indicated that upregulated circRNA FUT10 suppressed SkMSC proliferation by regulating miR-365a-3p. ( C ) Quantification of EdU-positive cells. ( D ) MyHC and MyoD mRNA were examined by real-time qPCR. ( E ) Western blot analysis showing MyHC and MyoD protein expression in different groups. ( F ) Quantification of MyHC and MyoD were normalized to β-actin. Each bar represents the mean ± SEM. *P < 0.05, **P < 0.01. All experiments were performed at least three times with duplication within each individual experiment.

    Journal: Aging (Albany NY)

    Article Title: CircRNA FUT10 regulates the regenerative potential of aged skeletal muscle stem cells by targeting HOXA9

    doi: 10.18632/aging.203233

    Figure Lengend Snippet: CircRNA FUT10 suppresses SkMSC proliferation and differentiation by targeting miR-365a-3p. ( A ) circRNA FUT10 overexpression vectors, miR-365a-3p mimics, and circRNA FUT10 + miR-365a-3p were transfected into SkMSCs. miR-365a-3p expression was examined by real-time qPCR. ( B ) EdU assay results indicated that upregulated circRNA FUT10 suppressed SkMSC proliferation by regulating miR-365a-3p. ( C ) Quantification of EdU-positive cells. ( D ) MyHC and MyoD mRNA were examined by real-time qPCR. ( E ) Western blot analysis showing MyHC and MyoD protein expression in different groups. ( F ) Quantification of MyHC and MyoD were normalized to β-actin. Each bar represents the mean ± SEM. *P < 0.05, **P < 0.01. All experiments were performed at least three times with duplication within each individual experiment.

    Article Snippet: In total, 9,572 expressed circRNAs were detected using an Arraystar mouse circRNA microarray.

    Techniques: Over Expression, Transfection, Expressing, EdU Assay, Western Blot

    Effect of HOXA9 on proliferation and differentiation of SkMSCs ( A ) qPCR and ( B ) western blotting were performed to identify HOXA9 mRNA and protein expression in adult and aged SkMSCs. ( C ) HOXA9 was normalized to β-actin in adult and aged SkMSCs. ( D ) qPCR and ( E ) western blotting were performed to identify HOXA9 mRNA and protein expression in adult SkMSCs transfected with circRNA FUT10 overexpression vector, while aged SkMSCs were transfected with circRNA FUT10 small interfering RNA to knock down circRNA FUT10. ( F ) HOXA9 was normalized to β-actin in the above groups. ( G ) MTT assay showing the effect of HOXA9 on adult and aged SkMSC proliferation. ( H ) Western blotting was performed to identify MyHC and MyoD expression in transfected cells. ( I ) Quantification of HOXA9 was normalized to β-actin. Each bar represents the mean ± SEM. *P < 0.05, **P < 0.01. All experiments were performed at least three times with duplication within each individual experiment.

    Journal: Aging (Albany NY)

    Article Title: CircRNA FUT10 regulates the regenerative potential of aged skeletal muscle stem cells by targeting HOXA9

    doi: 10.18632/aging.203233

    Figure Lengend Snippet: Effect of HOXA9 on proliferation and differentiation of SkMSCs ( A ) qPCR and ( B ) western blotting were performed to identify HOXA9 mRNA and protein expression in adult and aged SkMSCs. ( C ) HOXA9 was normalized to β-actin in adult and aged SkMSCs. ( D ) qPCR and ( E ) western blotting were performed to identify HOXA9 mRNA and protein expression in adult SkMSCs transfected with circRNA FUT10 overexpression vector, while aged SkMSCs were transfected with circRNA FUT10 small interfering RNA to knock down circRNA FUT10. ( F ) HOXA9 was normalized to β-actin in the above groups. ( G ) MTT assay showing the effect of HOXA9 on adult and aged SkMSC proliferation. ( H ) Western blotting was performed to identify MyHC and MyoD expression in transfected cells. ( I ) Quantification of HOXA9 was normalized to β-actin. Each bar represents the mean ± SEM. *P < 0.05, **P < 0.01. All experiments were performed at least three times with duplication within each individual experiment.

    Article Snippet: In total, 9,572 expressed circRNAs were detected using an Arraystar mouse circRNA microarray.

    Techniques: Western Blot, Expressing, Transfection, Over Expression, Plasmid Preparation, Small Interfering RNA, MTT Assay

    CircRNA FUT10 regulated HOXA9 by sponging miR-365a-3p. ( A ) SkMSCs were transfected with negative control (NC) miRNA, circRNA FUT10vector, miR-365a-3P mimic, (circ-OE), and circ-OE+miR-365a-3p. HOXA9 mRNA was examined by qPCR. ( B ) Western blot analysis showing HOXA9 protein expression in different groups. ( C ) Quantification of HOXA9 were normalized to β-actin. ( D ) SkMSC proliferation was measured by EdU assays. ( E ) Quantification of EdU-positive cells. ( F ) MyHC and MyoD mRNA were examined by real-time qPCR. ( G ) Western blot analysis showing MyHC and MyoD protein expression in different groups. ( H ) Quantification of MyHC and MyoD were normalized to β-actin. *P < 0.05, **P < 0.01. Each experiment was performed at least three times.

    Journal: Aging (Albany NY)

    Article Title: CircRNA FUT10 regulates the regenerative potential of aged skeletal muscle stem cells by targeting HOXA9

    doi: 10.18632/aging.203233

    Figure Lengend Snippet: CircRNA FUT10 regulated HOXA9 by sponging miR-365a-3p. ( A ) SkMSCs were transfected with negative control (NC) miRNA, circRNA FUT10vector, miR-365a-3P mimic, (circ-OE), and circ-OE+miR-365a-3p. HOXA9 mRNA was examined by qPCR. ( B ) Western blot analysis showing HOXA9 protein expression in different groups. ( C ) Quantification of HOXA9 were normalized to β-actin. ( D ) SkMSC proliferation was measured by EdU assays. ( E ) Quantification of EdU-positive cells. ( F ) MyHC and MyoD mRNA were examined by real-time qPCR. ( G ) Western blot analysis showing MyHC and MyoD protein expression in different groups. ( H ) Quantification of MyHC and MyoD were normalized to β-actin. *P < 0.05, **P < 0.01. Each experiment was performed at least three times.

    Article Snippet: In total, 9,572 expressed circRNAs were detected using an Arraystar mouse circRNA microarray.

    Techniques: Transfection, Negative Control, Western Blot, Expressing