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Proteintech apaf1
Apaf1, supplied by Proteintech, used in various techniques. Bioz Stars score: 96/100, based on 212 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/apaf1/IGF2BP3+Antibody/pm41787385-145-38-41
Average 96 stars, based on 212 article reviews
apaf1 - by Bioz Stars, 2026-10
96/100 stars

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Incubation:

Article Title: Oxymatrine Alleviates Cerebral Ischemia/Reperfusion Injury By Targeting HDAC1 to Regulate Mitochondria-Related Autophagy and Oxidative Stress.
Article Snippet: Coronal sections underwent antigen retrieval using citrate buffer (Beyotime, Jiangsu, China), followed by blocking with 10% goat serum in PBS for 1 h at room temperature. .. Sections were incubated overnight at 4 °C with the following primary antibodies diluted in PBS:LC3 and PINK1 (1:200, ABclonal, Wuhan, China); Beclin1, Apaf1, NeuN, P62 and NBR1 (1:100, Proteintech, Wuhan, China).After three 5-min washes with PBS, sections were incubated with Alexa Fluor-conjugated secondary antibodies (1:500) at 37 °C for 1 h. Nuclei were counterstained with DAPI (Solarbio, Beijing, China) for 10 min at room temperature. ..

Article Title: Oxymatrine Alleviates Cerebral Ischemia/Reperfusion Injury By Targeting HDAC1 to Regulate Mitochondria-Related Autophagy and Oxidative Stress
Article Snippet: Coronal sections underwent antigen retrieval using citrate buffer (Beyotime, Jiangsu, China), followed by blocking with 10% goat serum in PBS for 1 h at room temperature. .. Sections were incubated overnight at 4 °C with the following primary antibodies diluted in PBS:LC3 and PINK1 (1:200, ABclonal, Wuhan, China); Beclin1, Apaf1, NeuN, P62 and NBR1 (1:100, Proteintech, Wuhan, China).After three 5-min washes with PBS, sections were incubated with Alexa Fluor-conjugated secondary antibodies (1:500) at 37 °C for 1 h. Nuclei were counterstained with DAPI (Solarbio, Beijing, China) for 10 min at room temperature. ..

Article Title: EMC6 regulates acinar apoptosis via APAF1 in acute and chronic pancreatitis
Article Snippet: Briefly, tissue homogenate was incubated with immunoprecipitation lysate (Servicebio) overnight at 4°C, followed by centrifuging for 10 min at 14,000 × g . After the supernatant was collected and the protein concentration was measured by BCA protein quantitative detection kit (G2026; Servicebio, China), a small amount of tissue lysate was collected for input experiments. .. The tissue lysate was added with 1.0 μg of rabbit IgG (Servicebio) and 20 μl of A /G beads (Millipore) and incubated at 4 °C for 1 h. After centrifugation, the supernatant was incubated with respective primary antibodies against EMC6 (Omnimabs; 2 μg), APAF1 (Proteintech; 2 μg) overnight at 4 °C and rabbit IgG (Servicebio) served as negative control. .. Similarly, the protein complex was incubated with 80 μl A/G beads (Millipore) at 4 °C for 2 h, then, centrifuged at 1000 × g for 5 min at 4 °C to collect the immunoprecipitation complex.

Western Blot:

Article Title: EMC6 regulates acinar apoptosis via APAF1 in acute and chronic pancreatitis
Article Snippet: .. Finally, Supernatant was analyzed by immunoblotting with EMC6 (Omnimabs; diluted 1:1000) and APAF1 (Proteintech; diluted 1:1000) antibody. ..

other:

Article Title: LncRNA EGFR-AS1 inhibits ferroptosis to reduce radiosensitivity of cervical cancer through the m6A/IGF2BP3/APAF1 axis.
Article Snippet: Western blot 294 Cervical cancer cells were lysed by RIPA buffer (Thermo), allowing 295 for the extraction of total protein.

Centrifugation:

Article Title: EMC6 regulates acinar apoptosis via APAF1 in acute and chronic pancreatitis
Article Snippet: Briefly, tissue homogenate was incubated with immunoprecipitation lysate (Servicebio) overnight at 4°C, followed by centrifuging for 10 min at 14,000 × g . After the supernatant was collected and the protein concentration was measured by BCA protein quantitative detection kit (G2026; Servicebio, China), a small amount of tissue lysate was collected for input experiments. .. The tissue lysate was added with 1.0 μg of rabbit IgG (Servicebio) and 20 μl of A /G beads (Millipore) and incubated at 4 °C for 1 h. After centrifugation, the supernatant was incubated with respective primary antibodies against EMC6 (Omnimabs; 2 μg), APAF1 (Proteintech; 2 μg) overnight at 4 °C and rabbit IgG (Servicebio) served as negative control. .. Similarly, the protein complex was incubated with 80 μl A/G beads (Millipore) at 4 °C for 2 h, then, centrifuged at 1000 × g for 5 min at 4 °C to collect the immunoprecipitation complex.

Negative Control:

Article Title: EMC6 regulates acinar apoptosis via APAF1 in acute and chronic pancreatitis
Article Snippet: Briefly, tissue homogenate was incubated with immunoprecipitation lysate (Servicebio) overnight at 4°C, followed by centrifuging for 10 min at 14,000 × g . After the supernatant was collected and the protein concentration was measured by BCA protein quantitative detection kit (G2026; Servicebio, China), a small amount of tissue lysate was collected for input experiments. .. The tissue lysate was added with 1.0 μg of rabbit IgG (Servicebio) and 20 μl of A /G beads (Millipore) and incubated at 4 °C for 1 h. After centrifugation, the supernatant was incubated with respective primary antibodies against EMC6 (Omnimabs; 2 μg), APAF1 (Proteintech; 2 μg) overnight at 4 °C and rabbit IgG (Servicebio) served as negative control. .. Similarly, the protein complex was incubated with 80 μl A/G beads (Millipore) at 4 °C for 2 h, then, centrifuged at 1000 × g for 5 min at 4 °C to collect the immunoprecipitation complex.



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Hub genes for DKD diagnosis. (A) Protein-protein interaction network of intersecting genes. Diagnostic markers identified by the (B) closeness, (C) degree and (D) MCC algorithms via the cytoHubba plugin. (E and F) Screening of diagnostic markers using the LASSO logistic regression algorithm. (G) Biomarker screening using the SVM-RFE method. (H) Biomarker screening based on the RF algorithm. (I and J) UpSet plots and petal diagrams showing intersecting diagnostic markers identified by all six algorithms. (K) Nomogram for predicting DKD. (L) Decision curve analysis curve for validation of diagnostic efficacy. (M) ROC curve for validation of diagnostic efficacy of key genes. Violin plots comparing (N) SYK expression levels, (O) ADAM10 expression levels and (P) <t>APAF1</t> expression levels in DKD vs. control samples within the GSE30122 validation cohort. * P<0.05, *** P<0.001. Analysis of the relationships between (Q) SYK and serum creatinine, (R) ADAM10 and serum creatinine, (S) APAF1 and serum creatinine, (T) SYK and GFR, (U) ADAM10 and GFR, and (V) APAF1 and GFR. ADAM10, ADAM metallopeptidase domain 10; APAF1, apoptotic peptidase activating factor 1; AUC, area under the ROC curve; DKD, diabetic kidney disease; FPR, false positive rate; GFR, glomerular filtration rate; LASSO, least absolute shrinkage and selection operator; MCC, maximum clique centrality; ROC, receiver operating characteristic; RF, random forest; SVM-RFE, support vector machine-recursive feature elimination; SYK, spleen-associated tyrosine kinase; TPR, true positive rate.
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Hub genes for DKD diagnosis. (A) Protein-protein interaction network of intersecting genes. Diagnostic markers identified by the (B) closeness, (C) degree and (D) MCC algorithms via the cytoHubba plugin. (E and F) Screening of diagnostic markers using the LASSO logistic regression algorithm. (G) Biomarker screening using the SVM-RFE method. (H) Biomarker screening based on the RF algorithm. (I and J) UpSet plots and petal diagrams showing intersecting diagnostic markers identified by all six algorithms. (K) Nomogram for predicting DKD. (L) Decision curve analysis curve for validation of diagnostic efficacy. (M) ROC curve for validation of diagnostic efficacy of key genes. Violin plots comparing (N) SYK expression levels, (O) ADAM10 expression levels and (P) <t>APAF1</t> expression levels in DKD vs. control samples within the GSE30122 validation cohort. * P<0.05, *** P<0.001. Analysis of the relationships between (Q) SYK and serum creatinine, (R) ADAM10 and serum creatinine, (S) APAF1 and serum creatinine, (T) SYK and GFR, (U) ADAM10 and GFR, and (V) APAF1 and GFR. ADAM10, ADAM metallopeptidase domain 10; APAF1, apoptotic peptidase activating factor 1; AUC, area under the ROC curve; DKD, diabetic kidney disease; FPR, false positive rate; GFR, glomerular filtration rate; LASSO, least absolute shrinkage and selection operator; MCC, maximum clique centrality; ROC, receiver operating characteristic; RF, random forest; SVM-RFE, support vector machine-recursive feature elimination; SYK, spleen-associated tyrosine kinase; TPR, true positive rate.
Apaf1, supplied by Proteintech, 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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Hub genes for DKD diagnosis. (A) Protein-protein interaction network of intersecting genes. Diagnostic markers identified by the (B) closeness, (C) degree and (D) MCC algorithms via the cytoHubba plugin. (E and F) Screening of diagnostic markers using the LASSO logistic regression algorithm. (G) Biomarker screening using the SVM-RFE method. (H) Biomarker screening based on the RF algorithm. (I and J) UpSet plots and petal diagrams showing intersecting diagnostic markers identified by all six algorithms. (K) Nomogram for predicting DKD. (L) Decision curve analysis curve for validation of diagnostic efficacy. (M) ROC curve for validation of diagnostic efficacy of key genes. Violin plots comparing (N) SYK expression levels, (O) ADAM10 expression levels and (P) <t>APAF1</t> expression levels in DKD vs. control samples within the GSE30122 validation cohort. * P<0.05, *** P<0.001. Analysis of the relationships between (Q) SYK and serum creatinine, (R) ADAM10 and serum creatinine, (S) APAF1 and serum creatinine, (T) SYK and GFR, (U) ADAM10 and GFR, and (V) APAF1 and GFR. ADAM10, ADAM metallopeptidase domain 10; APAF1, apoptotic peptidase activating factor 1; AUC, area under the ROC curve; DKD, diabetic kidney disease; FPR, false positive rate; GFR, glomerular filtration rate; LASSO, least absolute shrinkage and selection operator; MCC, maximum clique centrality; ROC, receiver operating characteristic; RF, random forest; SVM-RFE, support vector machine-recursive feature elimination; SYK, spleen-associated tyrosine kinase; TPR, true positive rate.
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Hub genes for DKD diagnosis. (A) Protein-protein interaction network of intersecting genes. Diagnostic markers identified by the (B) closeness, (C) degree and (D) MCC algorithms via the cytoHubba plugin. (E and F) Screening of diagnostic markers using the LASSO logistic regression algorithm. (G) Biomarker screening using the SVM-RFE method. (H) Biomarker screening based on the RF algorithm. (I and J) UpSet plots and petal diagrams showing intersecting diagnostic markers identified by all six algorithms. (K) Nomogram for predicting DKD. (L) Decision curve analysis curve for validation of diagnostic efficacy. (M) ROC curve for validation of diagnostic efficacy of key genes. Violin plots comparing (N) SYK expression levels, (O) ADAM10 expression levels and (P) <t>APAF1</t> expression levels in DKD vs. control samples within the GSE30122 validation cohort. * P<0.05, *** P<0.001. Analysis of the relationships between (Q) SYK and serum creatinine, (R) ADAM10 and serum creatinine, (S) APAF1 and serum creatinine, (T) SYK and GFR, (U) ADAM10 and GFR, and (V) APAF1 and GFR. ADAM10, ADAM metallopeptidase domain 10; APAF1, apoptotic peptidase activating factor 1; AUC, area under the ROC curve; DKD, diabetic kidney disease; FPR, false positive rate; GFR, glomerular filtration rate; LASSO, least absolute shrinkage and selection operator; MCC, maximum clique centrality; ROC, receiver operating characteristic; RF, random forest; SVM-RFE, support vector machine-recursive feature elimination; SYK, spleen-associated tyrosine kinase; TPR, true positive rate.
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Hub genes for DKD diagnosis. (A) Protein-protein interaction network of intersecting genes. Diagnostic markers identified by the (B) closeness, (C) degree and (D) MCC algorithms via the cytoHubba plugin. (E and F) Screening of diagnostic markers using the LASSO logistic regression algorithm. (G) Biomarker screening using the SVM-RFE method. (H) Biomarker screening based on the RF algorithm. (I and J) UpSet plots and petal diagrams showing intersecting diagnostic markers identified by all six algorithms. (K) Nomogram for predicting DKD. (L) Decision curve analysis curve for validation of diagnostic efficacy. (M) ROC curve for validation of diagnostic efficacy of key genes. Violin plots comparing (N) SYK expression levels, (O) ADAM10 expression levels and (P) <t>APAF1</t> expression levels in DKD vs. control samples within the GSE30122 validation cohort. * P<0.05, *** P<0.001. Analysis of the relationships between (Q) SYK and serum creatinine, (R) ADAM10 and serum creatinine, (S) APAF1 and serum creatinine, (T) SYK and GFR, (U) ADAM10 and GFR, and (V) APAF1 and GFR. ADAM10, ADAM metallopeptidase domain 10; APAF1, apoptotic peptidase activating factor 1; AUC, area under the ROC curve; DKD, diabetic kidney disease; FPR, false positive rate; GFR, glomerular filtration rate; LASSO, least absolute shrinkage and selection operator; MCC, maximum clique centrality; ROC, receiver operating characteristic; RF, random forest; SVM-RFE, support vector machine-recursive feature elimination; SYK, spleen-associated tyrosine kinase; TPR, true positive rate.
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Hub genes for DKD diagnosis. (A) Protein-protein interaction network of intersecting genes. Diagnostic markers identified by the (B) closeness, (C) degree and (D) MCC algorithms via the cytoHubba plugin. (E and F) Screening of diagnostic markers using the LASSO logistic regression algorithm. (G) Biomarker screening using the SVM-RFE method. (H) Biomarker screening based on the RF algorithm. (I and J) UpSet plots and petal diagrams showing intersecting diagnostic markers identified by all six algorithms. (K) Nomogram for predicting DKD. (L) Decision curve analysis curve for validation of diagnostic efficacy. (M) ROC curve for validation of diagnostic efficacy of key genes. Violin plots comparing (N) SYK expression levels, (O) ADAM10 expression levels and (P) <t>APAF1</t> expression levels in DKD vs. control samples within the GSE30122 validation cohort. * P<0.05, *** P<0.001. Analysis of the relationships between (Q) SYK and serum creatinine, (R) ADAM10 and serum creatinine, (S) APAF1 and serum creatinine, (T) SYK and GFR, (U) ADAM10 and GFR, and (V) APAF1 and GFR. ADAM10, ADAM metallopeptidase domain 10; APAF1, apoptotic peptidase activating factor 1; AUC, area under the ROC curve; DKD, diabetic kidney disease; FPR, false positive rate; GFR, glomerular filtration rate; LASSO, least absolute shrinkage and selection operator; MCC, maximum clique centrality; ROC, receiver operating characteristic; RF, random forest; SVM-RFE, support vector machine-recursive feature elimination; SYK, spleen-associated tyrosine kinase; TPR, true positive rate.
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Image Search Results


Hub genes for DKD diagnosis. (A) Protein-protein interaction network of intersecting genes. Diagnostic markers identified by the (B) closeness, (C) degree and (D) MCC algorithms via the cytoHubba plugin. (E and F) Screening of diagnostic markers using the LASSO logistic regression algorithm. (G) Biomarker screening using the SVM-RFE method. (H) Biomarker screening based on the RF algorithm. (I and J) UpSet plots and petal diagrams showing intersecting diagnostic markers identified by all six algorithms. (K) Nomogram for predicting DKD. (L) Decision curve analysis curve for validation of diagnostic efficacy. (M) ROC curve for validation of diagnostic efficacy of key genes. Violin plots comparing (N) SYK expression levels, (O) ADAM10 expression levels and (P) APAF1 expression levels in DKD vs. control samples within the GSE30122 validation cohort. * P<0.05, *** P<0.001. Analysis of the relationships between (Q) SYK and serum creatinine, (R) ADAM10 and serum creatinine, (S) APAF1 and serum creatinine, (T) SYK and GFR, (U) ADAM10 and GFR, and (V) APAF1 and GFR. ADAM10, ADAM metallopeptidase domain 10; APAF1, apoptotic peptidase activating factor 1; AUC, area under the ROC curve; DKD, diabetic kidney disease; FPR, false positive rate; GFR, glomerular filtration rate; LASSO, least absolute shrinkage and selection operator; MCC, maximum clique centrality; ROC, receiver operating characteristic; RF, random forest; SVM-RFE, support vector machine-recursive feature elimination; SYK, spleen-associated tyrosine kinase; TPR, true positive rate.

Journal: International Journal of Molecular Medicine

Article Title: Identification of diagnostic markers for diabetic kidney disease by weighted gene co-expression network analysis and machine learning

doi: 10.3892/ijmm.2026.5869

Figure Lengend Snippet: Hub genes for DKD diagnosis. (A) Protein-protein interaction network of intersecting genes. Diagnostic markers identified by the (B) closeness, (C) degree and (D) MCC algorithms via the cytoHubba plugin. (E and F) Screening of diagnostic markers using the LASSO logistic regression algorithm. (G) Biomarker screening using the SVM-RFE method. (H) Biomarker screening based on the RF algorithm. (I and J) UpSet plots and petal diagrams showing intersecting diagnostic markers identified by all six algorithms. (K) Nomogram for predicting DKD. (L) Decision curve analysis curve for validation of diagnostic efficacy. (M) ROC curve for validation of diagnostic efficacy of key genes. Violin plots comparing (N) SYK expression levels, (O) ADAM10 expression levels and (P) APAF1 expression levels in DKD vs. control samples within the GSE30122 validation cohort. * P<0.05, *** P<0.001. Analysis of the relationships between (Q) SYK and serum creatinine, (R) ADAM10 and serum creatinine, (S) APAF1 and serum creatinine, (T) SYK and GFR, (U) ADAM10 and GFR, and (V) APAF1 and GFR. ADAM10, ADAM metallopeptidase domain 10; APAF1, apoptotic peptidase activating factor 1; AUC, area under the ROC curve; DKD, diabetic kidney disease; FPR, false positive rate; GFR, glomerular filtration rate; LASSO, least absolute shrinkage and selection operator; MCC, maximum clique centrality; ROC, receiver operating characteristic; RF, random forest; SVM-RFE, support vector machine-recursive feature elimination; SYK, spleen-associated tyrosine kinase; TPR, true positive rate.

Article Snippet: Cells were transfected with siRNAs targeting apoptotic peptidase activating factor 1 (APAF1; cat. no. HY-RS00801), ADAM metallopeptidase domain 10 (ADAM10; cat. no. HY-RS00265) and spleen-associated tyrosine kinase (SYK; cat. no. HY-RS14075) (all from MedChemExpress).

Techniques: Biomarker Discovery, Diagnostic Assay, Expressing, Control, Filtration, Selection, Plasmid Preparation

Analysis of the immune microenvironment. (A) Principal component analysis clustering plot illustrating immune cell infiltration patterns. The diagram presents differences in immune profiles between the DKD group and controls. (B) A heatmap displaying immune cell type correlations, where red signifies positive and blue negative associations, and the color saturation corresponds to the strength of the correlation. (C) Analysis illustrating disparities in immune cell infiltration between DKD and controls kidney tissue samples. * P<0.05, *** P<0.001. (D) Relative proportions of 22 immune cell subpopulations. Correlations between (E) ADAM10 and immune cells, (F) APAF1 and immune cells, and (G) SYK and immune cells. Point size corresponds to correlation strength between the hub gene and different immune cells; stronger correlations are shown by larger points, while weaker ones are shown by smaller points. ADAM10, ADAM metallopeptidase domain 10; APAF1, apoptotic peptidase activating factor 1; DKD, diabetic kidney disease; SYK, spleen-associated tyrosine kinase.

Journal: International Journal of Molecular Medicine

Article Title: Identification of diagnostic markers for diabetic kidney disease by weighted gene co-expression network analysis and machine learning

doi: 10.3892/ijmm.2026.5869

Figure Lengend Snippet: Analysis of the immune microenvironment. (A) Principal component analysis clustering plot illustrating immune cell infiltration patterns. The diagram presents differences in immune profiles between the DKD group and controls. (B) A heatmap displaying immune cell type correlations, where red signifies positive and blue negative associations, and the color saturation corresponds to the strength of the correlation. (C) Analysis illustrating disparities in immune cell infiltration between DKD and controls kidney tissue samples. * P<0.05, *** P<0.001. (D) Relative proportions of 22 immune cell subpopulations. Correlations between (E) ADAM10 and immune cells, (F) APAF1 and immune cells, and (G) SYK and immune cells. Point size corresponds to correlation strength between the hub gene and different immune cells; stronger correlations are shown by larger points, while weaker ones are shown by smaller points. ADAM10, ADAM metallopeptidase domain 10; APAF1, apoptotic peptidase activating factor 1; DKD, diabetic kidney disease; SYK, spleen-associated tyrosine kinase.

Article Snippet: Cells were transfected with siRNAs targeting apoptotic peptidase activating factor 1 (APAF1; cat. no. HY-RS00801), ADAM metallopeptidase domain 10 (ADAM10; cat. no. HY-RS00265) and spleen-associated tyrosine kinase (SYK; cat. no. HY-RS14075) (all from MedChemExpress).

Techniques:

Validation of pivotal gene expression in the mouse DKD model. (A) Schematic illustration of the mouse DKD model. (B) Quantification of UACR in mice. (C) Scr and (D) BUN levels in the two experimental groups. (E) Body weight changes in mice over time. (F) Blood glucose alterations in mice. (G) H&E staining of mouse kidney tissue sections, highlighting the extent of renal injury. Renal fibrosis was assessed using Masson's trichrome staining (magnification, ×200; scale bar, 100 µ m). The arrows point to dilated renal tubules and atrophic glomeruli. Semi-quantitative analysis of (H) H&E and (I) Masson staining results, with error bars in (H) representing the 95% confidence interval for the median. Reverse transcription-quantitative PCR detection of (J) APAF1, (K) SYK and (L) ADAM10 mRNA expression. (M) Western blot analysis showing the expression levels of SYK, ADAM10 and APAF1 in the UNx/STZ/HFD model, and (N) semi-quantitative analysis. (O) Western blot analysis showing the expression levels of SYK, ADAM10 and APAF1 in the db/db model, and (P) semi-quantitative analysis. Data are presented as the mean ± SD or median (n=6). * P<0.05, ** P<0.01, *** P<0.001. ADAM10, ADAM metallopeptidase domain 10; APAF1, apoptotic peptidase activating factor 1; BUN, blood urea nitrogen; DKD, diabetic kidney disease; H&E, hematoxylin and eosin; HFD, high-fat diet; Scr, serum creatinine; STZ, streptozotocin; SYK, spleen-associated tyrosine kinase; UACR, urine albumin-to-creatinine ratio; UNx, uninephrectomy.

Journal: International Journal of Molecular Medicine

Article Title: Identification of diagnostic markers for diabetic kidney disease by weighted gene co-expression network analysis and machine learning

doi: 10.3892/ijmm.2026.5869

Figure Lengend Snippet: Validation of pivotal gene expression in the mouse DKD model. (A) Schematic illustration of the mouse DKD model. (B) Quantification of UACR in mice. (C) Scr and (D) BUN levels in the two experimental groups. (E) Body weight changes in mice over time. (F) Blood glucose alterations in mice. (G) H&E staining of mouse kidney tissue sections, highlighting the extent of renal injury. Renal fibrosis was assessed using Masson's trichrome staining (magnification, ×200; scale bar, 100 µ m). The arrows point to dilated renal tubules and atrophic glomeruli. Semi-quantitative analysis of (H) H&E and (I) Masson staining results, with error bars in (H) representing the 95% confidence interval for the median. Reverse transcription-quantitative PCR detection of (J) APAF1, (K) SYK and (L) ADAM10 mRNA expression. (M) Western blot analysis showing the expression levels of SYK, ADAM10 and APAF1 in the UNx/STZ/HFD model, and (N) semi-quantitative analysis. (O) Western blot analysis showing the expression levels of SYK, ADAM10 and APAF1 in the db/db model, and (P) semi-quantitative analysis. Data are presented as the mean ± SD or median (n=6). * P<0.05, ** P<0.01, *** P<0.001. ADAM10, ADAM metallopeptidase domain 10; APAF1, apoptotic peptidase activating factor 1; BUN, blood urea nitrogen; DKD, diabetic kidney disease; H&E, hematoxylin and eosin; HFD, high-fat diet; Scr, serum creatinine; STZ, streptozotocin; SYK, spleen-associated tyrosine kinase; UACR, urine albumin-to-creatinine ratio; UNx, uninephrectomy.

Article Snippet: Cells were transfected with siRNAs targeting apoptotic peptidase activating factor 1 (APAF1; cat. no. HY-RS00801), ADAM metallopeptidase domain 10 (ADAM10; cat. no. HY-RS00265) and spleen-associated tyrosine kinase (SYK; cat. no. HY-RS14075) (all from MedChemExpress).

Techniques: Biomarker Discovery, Gene Expression, Staining, Reverse Transcription, Real-time Polymerase Chain Reaction, Expressing, Western Blot

siRNA-mediated silencing of pivotal genes can alleviate fibrosis. (A) SYK siRNA reduced SYK mRNA levels. (B) Western blot analysis showing the expression levels of SYK, fibronectin, vimentin and Snail, and (C) semi-quantitative analysis. (D) ADAM10 siRNA reduced ADAM10 mRNA levels. (E) Western blot analysis showing the expression levels of ADAM10, fibronectin, vimentin and Snail, and (F) semi-quantitative analysis. (G) APAF1 siRNA reduced APAF1 mRNA levels. (H) Western blot analysis showing the expression levels of APAF1, fibronectin, vimentin and Snail, and (I) semi-quantitative analysis. Data are presented as the mean ± SD (n=6). * P<0.05, ** P<0.01, *** P<0.001. ADAM10, ADAM metallopeptidase domain 10; APAF1, apoptotic peptidase activating factor 1; Con, control; HG, high glucose; LG, low glucose; ns, not significant; siRNA, small interfering RNA; SYK, spleen-associated tyrosine kinase.

Journal: International Journal of Molecular Medicine

Article Title: Identification of diagnostic markers for diabetic kidney disease by weighted gene co-expression network analysis and machine learning

doi: 10.3892/ijmm.2026.5869

Figure Lengend Snippet: siRNA-mediated silencing of pivotal genes can alleviate fibrosis. (A) SYK siRNA reduced SYK mRNA levels. (B) Western blot analysis showing the expression levels of SYK, fibronectin, vimentin and Snail, and (C) semi-quantitative analysis. (D) ADAM10 siRNA reduced ADAM10 mRNA levels. (E) Western blot analysis showing the expression levels of ADAM10, fibronectin, vimentin and Snail, and (F) semi-quantitative analysis. (G) APAF1 siRNA reduced APAF1 mRNA levels. (H) Western blot analysis showing the expression levels of APAF1, fibronectin, vimentin and Snail, and (I) semi-quantitative analysis. Data are presented as the mean ± SD (n=6). * P<0.05, ** P<0.01, *** P<0.001. ADAM10, ADAM metallopeptidase domain 10; APAF1, apoptotic peptidase activating factor 1; Con, control; HG, high glucose; LG, low glucose; ns, not significant; siRNA, small interfering RNA; SYK, spleen-associated tyrosine kinase.

Article Snippet: Cells were transfected with siRNAs targeting apoptotic peptidase activating factor 1 (APAF1; cat. no. HY-RS00801), ADAM metallopeptidase domain 10 (ADAM10; cat. no. HY-RS00265) and spleen-associated tyrosine kinase (SYK; cat. no. HY-RS14075) (all from MedChemExpress).

Techniques: Western Blot, Expressing, Control, Small Interfering RNA

Clinical validation of hub genes. Relative mRNA levels of (A) SYK, (B) ADAM10 and (C) APAF1 in non-DKD patients and patients with DKD. Data are presented as the mean ± SD (n=15). * P<0.05, ** P<0.01, *** P<0.001. ADAM metallopeptidase domain 10; APAF1, apoptotic peptidase activating factor 1; DKD, diabetic kidney disease; SYK, spleen-associated tyrosine kinase.

Journal: International Journal of Molecular Medicine

Article Title: Identification of diagnostic markers for diabetic kidney disease by weighted gene co-expression network analysis and machine learning

doi: 10.3892/ijmm.2026.5869

Figure Lengend Snippet: Clinical validation of hub genes. Relative mRNA levels of (A) SYK, (B) ADAM10 and (C) APAF1 in non-DKD patients and patients with DKD. Data are presented as the mean ± SD (n=15). * P<0.05, ** P<0.01, *** P<0.001. ADAM metallopeptidase domain 10; APAF1, apoptotic peptidase activating factor 1; DKD, diabetic kidney disease; SYK, spleen-associated tyrosine kinase.

Article Snippet: Cells were transfected with siRNAs targeting apoptotic peptidase activating factor 1 (APAF1; cat. no. HY-RS00801), ADAM metallopeptidase domain 10 (ADAM10; cat. no. HY-RS00265) and spleen-associated tyrosine kinase (SYK; cat. no. HY-RS14075) (all from MedChemExpress).

Techniques: Biomarker Discovery