anova Search Results


91
OriGene rc216200l1v
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Rc216200l1v, supplied by OriGene, used in various techniques. Bioz Stars score: 91/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Proteintech tween 20 tbst
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Tween 20 Tbst, supplied by Proteintech, 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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Boster Bio anti nubpl antibody
Fig. 2. Identification of DE-DRMs in individuals with EP. (A) The heatmap of expression levels for nine DE-DRMs. (B) The expression levels of 11 DRMs were exhibited between Ctrl and EP groups in boxplots. (C) Correlation analysis of nine DE-DRMs. Red and green colors represent positive and negative correlations, respectively. (D) The PPI analysis of DE-DMRs showed that SLC3A2 interacted with SLC7A11, while NDUFS1 interacted <t>with</t> <t>NDUFA11,</t> <t>NUBPL,</t> and LRPPRC. Abbreviations: DE-DRMs, differentially expressed disulfidptosis-related molecules; EP, epilepsy; Ctrl, control; PPI, protein-protein interaction; SLC3A2, solute carrier family 3 member 2; SLC7A11, solute carrier family 7 member 11; NDUFS1, NADH:ubiquinone oxidoreductase core subunit S1; NDUFA11, NADH:ubiquinone oxidoreductase subunit A11; NUBPL, NUBP iron‑sulfur cluster assembly factor, mitochondrial; LRPPRC, leucine rich pentatricopeptide repeat containing. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Anti Nubpl Antibody, supplied by Boster Bio, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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91
OriGene rc216200l2v pcdna3 bk gfp li
Fig. 2. Identification of DE-DRMs in individuals with EP. (A) The heatmap of expression levels for nine DE-DRMs. (B) The expression levels of 11 DRMs were exhibited between Ctrl and EP groups in boxplots. (C) Correlation analysis of nine DE-DRMs. Red and green colors represent positive and negative correlations, respectively. (D) The PPI analysis of DE-DMRs showed that SLC3A2 interacted with SLC7A11, while NDUFS1 interacted <t>with</t> <t>NDUFA11,</t> <t>NUBPL,</t> and LRPPRC. Abbreviations: DE-DRMs, differentially expressed disulfidptosis-related molecules; EP, epilepsy; Ctrl, control; PPI, protein-protein interaction; SLC3A2, solute carrier family 3 member 2; SLC7A11, solute carrier family 7 member 11; NDUFS1, NADH:ubiquinone oxidoreductase core subunit S1; NDUFA11, NADH:ubiquinone oxidoreductase subunit A11; NUBPL, NUBP iron‑sulfur cluster assembly factor, mitochondrial; LRPPRC, leucine rich pentatricopeptide repeat containing. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Rc216200l2v Pcdna3 Bk Gfp Li, supplied by OriGene, used in various techniques. Bioz Stars score: 91/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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97
SYSTAT anova sigmastat 4 0
Fig. 2. Identification of DE-DRMs in individuals with EP. (A) The heatmap of expression levels for nine DE-DRMs. (B) The expression levels of 11 DRMs were exhibited between Ctrl and EP groups in boxplots. (C) Correlation analysis of nine DE-DRMs. Red and green colors represent positive and negative correlations, respectively. (D) The PPI analysis of DE-DMRs showed that SLC3A2 interacted with SLC7A11, while NDUFS1 interacted <t>with</t> <t>NDUFA11,</t> <t>NUBPL,</t> and LRPPRC. Abbreviations: DE-DRMs, differentially expressed disulfidptosis-related molecules; EP, epilepsy; Ctrl, control; PPI, protein-protein interaction; SLC3A2, solute carrier family 3 member 2; SLC7A11, solute carrier family 7 member 11; NDUFS1, NADH:ubiquinone oxidoreductase core subunit S1; NDUFA11, NADH:ubiquinone oxidoreductase subunit A11; NUBPL, NUBP iron‑sulfur cluster assembly factor, mitochondrial; LRPPRC, leucine rich pentatricopeptide repeat containing. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Anova Sigmastat 4 0, supplied by SYSTAT, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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91
Boster Bio anti nova2
Fig. 2. Identification of DE-DRMs in individuals with EP. (A) The heatmap of expression levels for nine DE-DRMs. (B) The expression levels of 11 DRMs were exhibited between Ctrl and EP groups in boxplots. (C) Correlation analysis of nine DE-DRMs. Red and green colors represent positive and negative correlations, respectively. (D) The PPI analysis of DE-DMRs showed that SLC3A2 interacted with SLC7A11, while NDUFS1 interacted <t>with</t> <t>NDUFA11,</t> <t>NUBPL,</t> and LRPPRC. Abbreviations: DE-DRMs, differentially expressed disulfidptosis-related molecules; EP, epilepsy; Ctrl, control; PPI, protein-protein interaction; SLC3A2, solute carrier family 3 member 2; SLC7A11, solute carrier family 7 member 11; NDUFS1, NADH:ubiquinone oxidoreductase core subunit S1; NDUFA11, NADH:ubiquinone oxidoreductase subunit A11; NUBPL, NUBP iron‑sulfur cluster assembly factor, mitochondrial; LRPPRC, leucine rich pentatricopeptide repeat containing. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Anti Nova2, supplied by Boster Bio, used in various techniques. Bioz Stars score: 91/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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96
SAS institute anova statview
Fig. 2. Identification of DE-DRMs in individuals with EP. (A) The heatmap of expression levels for nine DE-DRMs. (B) The expression levels of 11 DRMs were exhibited between Ctrl and EP groups in boxplots. (C) Correlation analysis of nine DE-DRMs. Red and green colors represent positive and negative correlations, respectively. (D) The PPI analysis of DE-DMRs showed that SLC3A2 interacted with SLC7A11, while NDUFS1 interacted <t>with</t> <t>NDUFA11,</t> <t>NUBPL,</t> and LRPPRC. Abbreviations: DE-DRMs, differentially expressed disulfidptosis-related molecules; EP, epilepsy; Ctrl, control; PPI, protein-protein interaction; SLC3A2, solute carrier family 3 member 2; SLC7A11, solute carrier family 7 member 11; NDUFS1, NADH:ubiquinone oxidoreductase core subunit S1; NDUFA11, NADH:ubiquinone oxidoreductase subunit A11; NUBPL, NUBP iron‑sulfur cluster assembly factor, mitochondrial; LRPPRC, leucine rich pentatricopeptide repeat containing. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Anova Statview, supplied by SAS institute, 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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96
SAS institute 2 factor mixed anova
Mean ± SD effects of different breakfasts on glycemic and insulin responses to the glucose-drink and white-bread challenges. Serum postprandial glucose (A) and insulin (B) concentrations from the glucose-drink and white-bread challenges that were preceded by breakfasts varying in macronutrient composition are presented. Differences in serum postprandial glucose or insulin concentrations in test breakfasts over a 2-h test period were determined with a <t>2-factor</t> mixed ANOVA with the main effects of the test breakfast and time and test breakfast × time interaction with repeated measures for the participants after the glucose-drink and white-bread challenges, respectively. In the analysis of serum postprandial glucose concentrations, P values for the breakfast × time interaction after intakes of the glucose drink and white bread were P = 0.23 and P < 0.0001, respectively. In the analysis of serum postprandial insulin concentrations, P values of the breakfast × time interaction after intakes of the glucose drink and white bread were P = 0.34 and P = 0.0312, respectively. Because the breakfast × time interaction for white bread in both postprandial glucose and insulin analyses was significant at P ≤ 0.05, multiple comparisons at each time point were carried out with the use of the Tukey-Kramer method. Significance was accepted at P ≤ 0.05. Means with different letters are significantly different from each other at the same time point. n = 20. C-GLU, carbohydrate, glucose drink; C-WB, carbohydrate, white bread; F-GLU, fat, glucose drink; F-WB, fat, white bread; P-GLU, protein, glucose drink; P-WB, protein, white bread.
2 Factor Mixed Anova, supplied by SAS institute, 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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96
SAS institute trait by anova
Mean ± SD effects of different breakfasts on glycemic and insulin responses to the glucose-drink and white-bread challenges. Serum postprandial glucose (A) and insulin (B) concentrations from the glucose-drink and white-bread challenges that were preceded by breakfasts varying in macronutrient composition are presented. Differences in serum postprandial glucose or insulin concentrations in test breakfasts over a 2-h test period were determined with a <t>2-factor</t> mixed ANOVA with the main effects of the test breakfast and time and test breakfast × time interaction with repeated measures for the participants after the glucose-drink and white-bread challenges, respectively. In the analysis of serum postprandial glucose concentrations, P values for the breakfast × time interaction after intakes of the glucose drink and white bread were P = 0.23 and P < 0.0001, respectively. In the analysis of serum postprandial insulin concentrations, P values of the breakfast × time interaction after intakes of the glucose drink and white bread were P = 0.34 and P = 0.0312, respectively. Because the breakfast × time interaction for white bread in both postprandial glucose and insulin analyses was significant at P ≤ 0.05, multiple comparisons at each time point were carried out with the use of the Tukey-Kramer method. Significance was accepted at P ≤ 0.05. Means with different letters are significantly different from each other at the same time point. n = 20. C-GLU, carbohydrate, glucose drink; C-WB, carbohydrate, white bread; F-GLU, fat, glucose drink; F-WB, fat, white bread; P-GLU, protein, glucose drink; P-WB, protein, white bread.
Trait By Anova, supplied by SAS institute, 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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96
SAS institute 2 way anova model
Mean ± SD effects of different breakfasts on glycemic and insulin responses to the glucose-drink and white-bread challenges. Serum postprandial glucose (A) and insulin (B) concentrations from the glucose-drink and white-bread challenges that were preceded by breakfasts varying in macronutrient composition are presented. Differences in serum postprandial glucose or insulin concentrations in test breakfasts over a 2-h test period were determined with a <t>2-factor</t> mixed ANOVA with the main effects of the test breakfast and time and test breakfast × time interaction with repeated measures for the participants after the glucose-drink and white-bread challenges, respectively. In the analysis of serum postprandial glucose concentrations, P values for the breakfast × time interaction after intakes of the glucose drink and white bread were P = 0.23 and P < 0.0001, respectively. In the analysis of serum postprandial insulin concentrations, P values of the breakfast × time interaction after intakes of the glucose drink and white bread were P = 0.34 and P = 0.0312, respectively. Because the breakfast × time interaction for white bread in both postprandial glucose and insulin analyses was significant at P ≤ 0.05, multiple comparisons at each time point were carried out with the use of the Tukey-Kramer method. Significance was accepted at P ≤ 0.05. Means with different letters are significantly different from each other at the same time point. n = 20. C-GLU, carbohydrate, glucose drink; C-WB, carbohydrate, white bread; F-GLU, fat, glucose drink; F-WB, fat, white bread; P-GLU, protein, glucose drink; P-WB, protein, white bread.
2 Way Anova Model, supplied by SAS institute, 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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SAS institute mixed model anova
Mean ± SD effects of different breakfasts on glycemic and insulin responses to the glucose-drink and white-bread challenges. Serum postprandial glucose (A) and insulin (B) concentrations from the glucose-drink and white-bread challenges that were preceded by breakfasts varying in macronutrient composition are presented. Differences in serum postprandial glucose or insulin concentrations in test breakfasts over a 2-h test period were determined with a <t>2-factor</t> mixed ANOVA with the main effects of the test breakfast and time and test breakfast × time interaction with repeated measures for the participants after the glucose-drink and white-bread challenges, respectively. In the analysis of serum postprandial glucose concentrations, P values for the breakfast × time interaction after intakes of the glucose drink and white bread were P = 0.23 and P < 0.0001, respectively. In the analysis of serum postprandial insulin concentrations, P values of the breakfast × time interaction after intakes of the glucose drink and white bread were P = 0.34 and P = 0.0312, respectively. Because the breakfast × time interaction for white bread in both postprandial glucose and insulin analyses was significant at P ≤ 0.05, multiple comparisons at each time point were carried out with the use of the Tukey-Kramer method. Significance was accepted at P ≤ 0.05. Means with different letters are significantly different from each other at the same time point. n = 20. C-GLU, carbohydrate, glucose drink; C-WB, carbohydrate, white bread; F-GLU, fat, glucose drink; F-WB, fat, white bread; P-GLU, protein, glucose drink; P-WB, protein, white bread.
Mixed Model Anova, supplied by SAS institute, 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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SAS institute measures anova in sas
Mean ± SD effects of different breakfasts on glycemic and insulin responses to the glucose-drink and white-bread challenges. Serum postprandial glucose (A) and insulin (B) concentrations from the glucose-drink and white-bread challenges that were preceded by breakfasts varying in macronutrient composition are presented. Differences in serum postprandial glucose or insulin concentrations in test breakfasts over a 2-h test period were determined with a <t>2-factor</t> mixed ANOVA with the main effects of the test breakfast and time and test breakfast × time interaction with repeated measures for the participants after the glucose-drink and white-bread challenges, respectively. In the analysis of serum postprandial glucose concentrations, P values for the breakfast × time interaction after intakes of the glucose drink and white bread were P = 0.23 and P < 0.0001, respectively. In the analysis of serum postprandial insulin concentrations, P values of the breakfast × time interaction after intakes of the glucose drink and white bread were P = 0.34 and P = 0.0312, respectively. Because the breakfast × time interaction for white bread in both postprandial glucose and insulin analyses was significant at P ≤ 0.05, multiple comparisons at each time point were carried out with the use of the Tukey-Kramer method. Significance was accepted at P ≤ 0.05. Means with different letters are significantly different from each other at the same time point. n = 20. C-GLU, carbohydrate, glucose drink; C-WB, carbohydrate, white bread; F-GLU, fat, glucose drink; F-WB, fat, white bread; P-GLU, protein, glucose drink; P-WB, protein, white bread.
Measures Anova In Sas, supplied by SAS institute, 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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Image Search Results


KEY RESOURCES TABLE

Journal: Cell

Article Title: Neuronal Inactivity Co-opts LTP Machinery to Drive Potassium Channel Splicing and Homeostatic Spike Widening

doi: 10.1016/j.cell.2020.05.013

Figure Lengend Snippet: KEY RESOURCES TABLE

Article Snippet: This paper N/A Primers for RT-PCR and qPCR, see Table S1 This paper N/A Primers to insert E29 and flanking introns to the splicing reporter: F: CCGGAATTCCGGC TATGTGGCAACCCTAC This paper N/A Primers to insert E29 and flanking introns to the splicing reporter: R: CGCGGATCCGCGT CTCCTTTGACTTCCTCT This paper N/A Primers to measure E29 splicing in the splicing reporter: F: GGAGAAGTCTGCCGTTACTGCCC TGTG (DY-782 labeled) This paper N/A Primers to measure E29 splicing in the splicing reporter: R: CCGTCGTCCTTGAAGAAGATGGTGC This paper N/A Recombinant DNA mouse βCaMKK construct: Lentiviral CaMKKbeta Green et al., 2011b Addgene Plasmid #33322; RRID:Addgene_33322 rat βCaMKK 1–460 construct: pSG5-FLAG-CaMKKbeta rat 1–460 Green et al., 2011a Addgene Plasmid #33324; RRID:Addgene_33324 Human Nova-2 ORF Origene Cat# RC216200L1V, RC216200L2V pcDNA3-BK-GFP Li et al., 2014 N/A pCKII-GFP Li et al., 2016 N/A BK channel without E29 This paper N/A BK channel with E29 This paper N/A splice reporter pFlare5 vector Stoilov et al., 2008 N/A pGFP-C-shLenti βCaMKK shRNA constructs Origene Cat#TL711303 pGFP-C-shLenti Nova2 shRNA constructs Origene Cat#TL508674 pcDNA3.1/Puro-CAG-ASAP1 St-Pierre et al., 2014 Addgene Plasmid # 52519; RRID:Addgene_52519 AAV-CaMKIIa-GCaMP6s-P2A-nls-tdTomato Gift from Jonathan Ting (unpublished) Addgene Plasmid #51086; RRID:Addgene_51086 CaMKIV-GFP construct Gift from Haruhiko Bito N/A CA-CaMKIV construct Gifts from Tian-Ming Gao N/A CaMBP4 construct Gifts from Tian-Ming Gao N/A Software and Algorithms pClamp 9 Molecular Devices https://www.moleculardevices.com/ Prism GraphPad https://www.graphpad.com/ MATLAB Mathworks https://www.mathworks.com/ ImageJ Schneider et al., 2012 https://imagej.nih.gov/ij/ Open in a separate window KEY RESOURCES TABLE Transfection and treatment of cortical neurons Neurons were transfected 7 to 9 days after plating using a high efficiency Ca 2+ -phosphate transfection method ( Jiang and Chen, 2006 ).

Techniques: Recombinant, Mutagenesis, Immunoprecipitation, Isolation, Protein Extraction, Lysis, Labeling, Construct, Plasmid Preparation, shRNA, Software

Fig. 2. Identification of DE-DRMs in individuals with EP. (A) The heatmap of expression levels for nine DE-DRMs. (B) The expression levels of 11 DRMs were exhibited between Ctrl and EP groups in boxplots. (C) Correlation analysis of nine DE-DRMs. Red and green colors represent positive and negative correlations, respectively. (D) The PPI analysis of DE-DMRs showed that SLC3A2 interacted with SLC7A11, while NDUFS1 interacted with NDUFA11, NUBPL, and LRPPRC. Abbreviations: DE-DRMs, differentially expressed disulfidptosis-related molecules; EP, epilepsy; Ctrl, control; PPI, protein-protein interaction; SLC3A2, solute carrier family 3 member 2; SLC7A11, solute carrier family 7 member 11; NDUFS1, NADH:ubiquinone oxidoreductase core subunit S1; NDUFA11, NADH:ubiquinone oxidoreductase subunit A11; NUBPL, NUBP iron‑sulfur cluster assembly factor, mitochondrial; LRPPRC, leucine rich pentatricopeptide repeat containing. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

Journal: Neurobiology of disease

Article Title: Identifying disulfidptosis-related biomarkers in epilepsy based on integrated bioinformatics and experimental analyses.

doi: 10.1016/j.nbd.2025.106789

Figure Lengend Snippet: Fig. 2. Identification of DE-DRMs in individuals with EP. (A) The heatmap of expression levels for nine DE-DRMs. (B) The expression levels of 11 DRMs were exhibited between Ctrl and EP groups in boxplots. (C) Correlation analysis of nine DE-DRMs. Red and green colors represent positive and negative correlations, respectively. (D) The PPI analysis of DE-DMRs showed that SLC3A2 interacted with SLC7A11, while NDUFS1 interacted with NDUFA11, NUBPL, and LRPPRC. Abbreviations: DE-DRMs, differentially expressed disulfidptosis-related molecules; EP, epilepsy; Ctrl, control; PPI, protein-protein interaction; SLC3A2, solute carrier family 3 member 2; SLC7A11, solute carrier family 7 member 11; NDUFS1, NADH:ubiquinone oxidoreductase core subunit S1; NDUFA11, NADH:ubiquinone oxidoreductase subunit A11; NUBPL, NUBP iron‑sulfur cluster assembly factor, mitochondrial; LRPPRC, leucine rich pentatricopeptide repeat containing. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

Article Snippet: The paraffin sections were incubated with the primary antibodies (overnight, 4 ◦C): anti-GYS1 antibody (Sangon Biotech, D122431, dilution: 1:100), anti-NDUFS1 antibody (Abcam, ab185733, dilution: 1:100), anti-OXSM antibody (Boster, A12866–1, dilution: 1:100), anti-LRPPRC antibody (Abcam, ab259927, dilution: 1:200), anti-NDUFA11 antibody (Abclonal, A16239, dilution: 1:100) (Yang et al., 2022), anti-NUBPL antibody (Boster, A10634–1, dilution: 1:100), anti-NCKAP1 antibody (Bioworld Technology, BS71703, dilution: 1:50), anti-SLC3A2 antibody (Santa, sc-390,154, dilution: 1:50), anti-SLC7A11 antibody (Abcam, ab307601. dilution: 1:500).

Techniques: Expressing, Control

Fig. 8. The expression of DE-DRMs in seizures models (in vitro and in vivo). (A) Constructing the in vitro seizures model. The amplitude and frequency of neuronal APs in the Mg2+-free group were significantly increased (n = 6 in each group; Independent sample t-test; #, P < 0.01). (B) Protein expression of nine DE-DRMs in the in vitro seizures model. The expression of GYS1, NDUFS1, OXSM, LRPPRC, NDUFA11, NUBPL, NCKAP1, and SLC3A2 were not significantly changed in the Mg2+-free group, while the expression of SLC7A11 was significantly increased in Mg2+-free group (n = 6 in each group; Independent sample t-test; #, P < 0.01). (C) Con structing the in vivo seizures model. No epileptoid discharges were observed in six rats of the Ctrl group, while significant epileptoid discharges were observed in six rats of the PTZ group (scale: Y-axis,50uV; X-axis, 0.5 s). (D) Protein expression of nine DE-DRMs in vivo models. The expressions of GYS1, NDUFS1, OXSM, LRPPRC, NDUFA11, NUBPL, NCKAP1, and SLC3A2 were not significantly changed in PTZ group, while the expression of SLC7A11 was significantly increased in PTZ group (n = 6 in each group; Independent sample t-test; #, P < 0.01). Abbreviations: DE-DRMs, differentially expressed disulfidptosis-related molecules; APs, action potentials; GYS1, glycogen synthase 1; SLC3A2, solute carrier family 3 member 2; SLC7A11, solute carrier family 7 member 11; NDUFS1, NADH:ubiquinone oxidoreductase core subunit S1; OXSM, 3-oxoacyl-ACP synthase, mitochondrial; LRPPRC, leucine rich pentatricopeptide repeat containing; NDUFA11, NADH:ubiquinone oxidoreductase subunit A11; NUBPL, NUBP iron‑sulfur cluster assembly factor, mitochondrial; NCKAP1, NCK associated protein 1; PTZ, pentylenetetrazol.

Journal: Neurobiology of disease

Article Title: Identifying disulfidptosis-related biomarkers in epilepsy based on integrated bioinformatics and experimental analyses.

doi: 10.1016/j.nbd.2025.106789

Figure Lengend Snippet: Fig. 8. The expression of DE-DRMs in seizures models (in vitro and in vivo). (A) Constructing the in vitro seizures model. The amplitude and frequency of neuronal APs in the Mg2+-free group were significantly increased (n = 6 in each group; Independent sample t-test; #, P < 0.01). (B) Protein expression of nine DE-DRMs in the in vitro seizures model. The expression of GYS1, NDUFS1, OXSM, LRPPRC, NDUFA11, NUBPL, NCKAP1, and SLC3A2 were not significantly changed in the Mg2+-free group, while the expression of SLC7A11 was significantly increased in Mg2+-free group (n = 6 in each group; Independent sample t-test; #, P < 0.01). (C) Con structing the in vivo seizures model. No epileptoid discharges were observed in six rats of the Ctrl group, while significant epileptoid discharges were observed in six rats of the PTZ group (scale: Y-axis,50uV; X-axis, 0.5 s). (D) Protein expression of nine DE-DRMs in vivo models. The expressions of GYS1, NDUFS1, OXSM, LRPPRC, NDUFA11, NUBPL, NCKAP1, and SLC3A2 were not significantly changed in PTZ group, while the expression of SLC7A11 was significantly increased in PTZ group (n = 6 in each group; Independent sample t-test; #, P < 0.01). Abbreviations: DE-DRMs, differentially expressed disulfidptosis-related molecules; APs, action potentials; GYS1, glycogen synthase 1; SLC3A2, solute carrier family 3 member 2; SLC7A11, solute carrier family 7 member 11; NDUFS1, NADH:ubiquinone oxidoreductase core subunit S1; OXSM, 3-oxoacyl-ACP synthase, mitochondrial; LRPPRC, leucine rich pentatricopeptide repeat containing; NDUFA11, NADH:ubiquinone oxidoreductase subunit A11; NUBPL, NUBP iron‑sulfur cluster assembly factor, mitochondrial; NCKAP1, NCK associated protein 1; PTZ, pentylenetetrazol.

Article Snippet: The paraffin sections were incubated with the primary antibodies (overnight, 4 ◦C): anti-GYS1 antibody (Sangon Biotech, D122431, dilution: 1:100), anti-NDUFS1 antibody (Abcam, ab185733, dilution: 1:100), anti-OXSM antibody (Boster, A12866–1, dilution: 1:100), anti-LRPPRC antibody (Abcam, ab259927, dilution: 1:200), anti-NDUFA11 antibody (Abclonal, A16239, dilution: 1:100) (Yang et al., 2022), anti-NUBPL antibody (Boster, A10634–1, dilution: 1:100), anti-NCKAP1 antibody (Bioworld Technology, BS71703, dilution: 1:50), anti-SLC3A2 antibody (Santa, sc-390,154, dilution: 1:50), anti-SLC7A11 antibody (Abcam, ab307601. dilution: 1:500).

Techniques: Expressing, In Vitro, In Vivo

Fig. 9. Verifying the PPI in seizures models (in vivo and in vitro). (A-B) colocation analysis indicated that SLC7A11 colocalized with SLC3A2, NDUFS1 colocalized with LRPPRC, NDUFS1 colocalized with NUBPL, and NDUFS1 colocalized with NDUFA11 in both primary neurons and hippocampal tissue. (C–D) Pooled quan tification of protein immunoprecipitation showed a significant increment in the pull-down of SLC7A11 and a significant reduction in the pull-down of NDUFA11 in both the Mg2+-free group and PTZ group (n = 6 in each group; Independent sample t-test; #, P < 0.01). Abbreviations: PPI, protein-protein interaction; SLC3A2,solute carrier family 3 member 2; SLC7A11, solute carrier family 7 member 11; NDUFS1, NADH:ubiquinone oxidoreductase core subunit S1; LRPPRC, leucine rich pentatricopeptide repeat containing; NUBPL, NUBP iron‑sulfur cluster assembly factor, mitochondrial; NDUFA11, NADH:ubiquinone oxidoreductase subunit A11; PTZ, pentylenetetrazol.

Journal: Neurobiology of disease

Article Title: Identifying disulfidptosis-related biomarkers in epilepsy based on integrated bioinformatics and experimental analyses.

doi: 10.1016/j.nbd.2025.106789

Figure Lengend Snippet: Fig. 9. Verifying the PPI in seizures models (in vivo and in vitro). (A-B) colocation analysis indicated that SLC7A11 colocalized with SLC3A2, NDUFS1 colocalized with LRPPRC, NDUFS1 colocalized with NUBPL, and NDUFS1 colocalized with NDUFA11 in both primary neurons and hippocampal tissue. (C–D) Pooled quan tification of protein immunoprecipitation showed a significant increment in the pull-down of SLC7A11 and a significant reduction in the pull-down of NDUFA11 in both the Mg2+-free group and PTZ group (n = 6 in each group; Independent sample t-test; #, P < 0.01). Abbreviations: PPI, protein-protein interaction; SLC3A2,solute carrier family 3 member 2; SLC7A11, solute carrier family 7 member 11; NDUFS1, NADH:ubiquinone oxidoreductase core subunit S1; LRPPRC, leucine rich pentatricopeptide repeat containing; NUBPL, NUBP iron‑sulfur cluster assembly factor, mitochondrial; NDUFA11, NADH:ubiquinone oxidoreductase subunit A11; PTZ, pentylenetetrazol.

Article Snippet: The paraffin sections were incubated with the primary antibodies (overnight, 4 ◦C): anti-GYS1 antibody (Sangon Biotech, D122431, dilution: 1:100), anti-NDUFS1 antibody (Abcam, ab185733, dilution: 1:100), anti-OXSM antibody (Boster, A12866–1, dilution: 1:100), anti-LRPPRC antibody (Abcam, ab259927, dilution: 1:200), anti-NDUFA11 antibody (Abclonal, A16239, dilution: 1:100) (Yang et al., 2022), anti-NUBPL antibody (Boster, A10634–1, dilution: 1:100), anti-NCKAP1 antibody (Bioworld Technology, BS71703, dilution: 1:50), anti-SLC3A2 antibody (Santa, sc-390,154, dilution: 1:50), anti-SLC7A11 antibody (Abcam, ab307601. dilution: 1:500).

Techniques: In Vivo, In Vitro, Immunoprecipitation

Mean ± SD effects of different breakfasts on glycemic and insulin responses to the glucose-drink and white-bread challenges. Serum postprandial glucose (A) and insulin (B) concentrations from the glucose-drink and white-bread challenges that were preceded by breakfasts varying in macronutrient composition are presented. Differences in serum postprandial glucose or insulin concentrations in test breakfasts over a 2-h test period were determined with a 2-factor mixed ANOVA with the main effects of the test breakfast and time and test breakfast × time interaction with repeated measures for the participants after the glucose-drink and white-bread challenges, respectively. In the analysis of serum postprandial glucose concentrations, P values for the breakfast × time interaction after intakes of the glucose drink and white bread were P = 0.23 and P < 0.0001, respectively. In the analysis of serum postprandial insulin concentrations, P values of the breakfast × time interaction after intakes of the glucose drink and white bread were P = 0.34 and P = 0.0312, respectively. Because the breakfast × time interaction for white bread in both postprandial glucose and insulin analyses was significant at P ≤ 0.05, multiple comparisons at each time point were carried out with the use of the Tukey-Kramer method. Significance was accepted at P ≤ 0.05. Means with different letters are significantly different from each other at the same time point. n = 20. C-GLU, carbohydrate, glucose drink; C-WB, carbohydrate, white bread; F-GLU, fat, glucose drink; F-WB, fat, white bread; P-GLU, protein, glucose drink; P-WB, protein, white bread.

Journal: The American Journal of Clinical Nutrition

Article Title: Effect of prior meal macronutrient composition on postprandial glycemic responses and glycemic index and glycemic load value determinations

doi: 10.3945/ajcn.117.162727

Figure Lengend Snippet: Mean ± SD effects of different breakfasts on glycemic and insulin responses to the glucose-drink and white-bread challenges. Serum postprandial glucose (A) and insulin (B) concentrations from the glucose-drink and white-bread challenges that were preceded by breakfasts varying in macronutrient composition are presented. Differences in serum postprandial glucose or insulin concentrations in test breakfasts over a 2-h test period were determined with a 2-factor mixed ANOVA with the main effects of the test breakfast and time and test breakfast × time interaction with repeated measures for the participants after the glucose-drink and white-bread challenges, respectively. In the analysis of serum postprandial glucose concentrations, P values for the breakfast × time interaction after intakes of the glucose drink and white bread were P = 0.23 and P < 0.0001, respectively. In the analysis of serum postprandial insulin concentrations, P values of the breakfast × time interaction after intakes of the glucose drink and white bread were P = 0.34 and P = 0.0312, respectively. Because the breakfast × time interaction for white bread in both postprandial glucose and insulin analyses was significant at P ≤ 0.05, multiple comparisons at each time point were carried out with the use of the Tukey-Kramer method. Significance was accepted at P ≤ 0.05. Means with different letters are significantly different from each other at the same time point. n = 20. C-GLU, carbohydrate, glucose drink; C-WB, carbohydrate, white bread; F-GLU, fat, glucose drink; F-WB, fat, white bread; P-GLU, protein, glucose drink; P-WB, protein, white bread.

Article Snippet: A 2-factor mixed ANOVA (PROC MIXED; SAS Institute Inc.) with the main effects of test breakfast and time and the test breakfast × time interaction with repeated measures for the participants was carried out to determine differences in serum glucose, insulin, NEFA, triacylglycerol, HDL-cholesterol, and LDL-cholesterol concentrations between test breakfasts over the 2-h study period after consumption of the white bread and glucose drink, respectively.

Techniques:

Mean ± SD effects of different breakfasts on postprandial serum NEFA, TAG, HDL-C, and LDL-C responses to the glucose-drink and white-bread challenges. Serum NEFA (A), TAG (B), HDL-C (C), and LDL-C (D) concentrations after glucose-drink and white-bread challenges preceded by breakfasts varying in macronutrient composition are presented. Differences in serum postprandial NEFA, TAG, HDL-cholesterol, and LDL-cholesterol concentrations between breakfasts over a 2-h test period were determined with the use of a 2-factor mixed ANOVA with the main effects of the test breakfast and time and test breakfast × time interaction with repeated measures for participants after intakes of the glucose drink and white bread, respectively. P values for the breakfast × time interaction after intake of the glucose drink were P = 0.0216, P = 0.91, P = 0.99, and P = 0.53 for NEFA, TAG, HDL-C, and LDL-C, respectively. P values for the breakfast × time interaction after white-bread intake were P = 0.78, P = 0.30, P = 0.40, and P = 0.31 for NEFA, TAG, HDL-C, and LDL-C, respectively. Because the breakfast × time interaction for NEFA after glucose-drink intake was significant at P ≤ 0.05, multiple comparisons at each time point were carried out via the Tukey-Kramer method. Significance was accepted at P ≤ 0.05. Means with different letters are significantly different from each other at the same time point. n = 20. C-GLU, carbohydrate, glucose drink; C-WB, carbohydrate, white bread; F-GLU, fat, glucose drink; F-WB, fat, white bread; HDL-C, HDL cholesterol; LDL-C, LDL cholesterol; NEFA, nonesterified fatty acid; P-GLU, protein, glucose drink; P-WB, protein, white bread; TAG, triacylglycerol.

Journal: The American Journal of Clinical Nutrition

Article Title: Effect of prior meal macronutrient composition on postprandial glycemic responses and glycemic index and glycemic load value determinations

doi: 10.3945/ajcn.117.162727

Figure Lengend Snippet: Mean ± SD effects of different breakfasts on postprandial serum NEFA, TAG, HDL-C, and LDL-C responses to the glucose-drink and white-bread challenges. Serum NEFA (A), TAG (B), HDL-C (C), and LDL-C (D) concentrations after glucose-drink and white-bread challenges preceded by breakfasts varying in macronutrient composition are presented. Differences in serum postprandial NEFA, TAG, HDL-cholesterol, and LDL-cholesterol concentrations between breakfasts over a 2-h test period were determined with the use of a 2-factor mixed ANOVA with the main effects of the test breakfast and time and test breakfast × time interaction with repeated measures for participants after intakes of the glucose drink and white bread, respectively. P values for the breakfast × time interaction after intake of the glucose drink were P = 0.0216, P = 0.91, P = 0.99, and P = 0.53 for NEFA, TAG, HDL-C, and LDL-C, respectively. P values for the breakfast × time interaction after white-bread intake were P = 0.78, P = 0.30, P = 0.40, and P = 0.31 for NEFA, TAG, HDL-C, and LDL-C, respectively. Because the breakfast × time interaction for NEFA after glucose-drink intake was significant at P ≤ 0.05, multiple comparisons at each time point were carried out via the Tukey-Kramer method. Significance was accepted at P ≤ 0.05. Means with different letters are significantly different from each other at the same time point. n = 20. C-GLU, carbohydrate, glucose drink; C-WB, carbohydrate, white bread; F-GLU, fat, glucose drink; F-WB, fat, white bread; HDL-C, HDL cholesterol; LDL-C, LDL cholesterol; NEFA, nonesterified fatty acid; P-GLU, protein, glucose drink; P-WB, protein, white bread; TAG, triacylglycerol.

Article Snippet: A 2-factor mixed ANOVA (PROC MIXED; SAS Institute Inc.) with the main effects of test breakfast and time and the test breakfast × time interaction with repeated measures for the participants was carried out to determine differences in serum glucose, insulin, NEFA, triacylglycerol, HDL-cholesterol, and LDL-cholesterol concentrations between test breakfasts over the 2-h study period after consumption of the white bread and glucose drink, respectively.

Techniques: