sulfhydryl Search Results


5 5 dithio bis  (Chem Impex International)
95
Chem Impex International 5 5 dithio bis
5 5 Dithio Bis, supplied by Chem Impex International, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/5 5 dithio bis/product/Chem Impex International
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qsox1  (Proteintech)
94
Proteintech qsox1
Fig. 2. Screening to DFRGs from HF dataset. (A). Volcano map of GSE5406. (B). The heatmap of 127 DFRGs in GSE5406. (C). Correlation between the expression of 127 DFRGs. (D-E). The main GO terms and KEGG pathways enriched by differentially expressed mRNAs. (F). The performance in of ten-time cross-verification for tuning parameter in selection LASSO. Each coefficient curve in the upper picture represents a single gene. The solid vertical lines in another picture represent the partial likelihood deviance SE, and the number of genes (n = 10) corresponding to the lowest point of the curve is the most suitable for LASSO. (G). Accuracy graph and cross validation error graph of DFRGs screened with the SVM-RFE algorithm. (H). Venn diagram of the intersection of DFRGs (PTGS2, BECN1, SLC39A14, <t>QSOX1,</t> MLST8, TMSB4X and KDM4A) screened with the two machine learning methods.
Qsox1, supplied by Proteintech, 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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sulfhydryl specific reagent n  (Toronto Research Chemicals)
93
Toronto Research Chemicals sulfhydryl specific reagent n
Fig. 2. Screening to DFRGs from HF dataset. (A). Volcano map of GSE5406. (B). The heatmap of 127 DFRGs in GSE5406. (C). Correlation between the expression of 127 DFRGs. (D-E). The main GO terms and KEGG pathways enriched by differentially expressed mRNAs. (F). The performance in of ten-time cross-verification for tuning parameter in selection LASSO. Each coefficient curve in the upper picture represents a single gene. The solid vertical lines in another picture represent the partial likelihood deviance SE, and the number of genes (n = 10) corresponding to the lowest point of the curve is the most suitable for LASSO. (G). Accuracy graph and cross validation error graph of DFRGs screened with the SVM-RFE algorithm. (H). Venn diagram of the intersection of DFRGs (PTGS2, BECN1, SLC39A14, <t>QSOX1,</t> MLST8, TMSB4X and KDM4A) screened with the two machine learning methods.
Sulfhydryl Specific Reagent N, supplied by Toronto Research Chemicals, 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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alizarin red s solution  (Abcam)
99
Abcam alizarin red s solution
Fig. 2. Screening to DFRGs from HF dataset. (A). Volcano map of GSE5406. (B). The heatmap of 127 DFRGs in GSE5406. (C). Correlation between the expression of 127 DFRGs. (D-E). The main GO terms and KEGG pathways enriched by differentially expressed mRNAs. (F). The performance in of ten-time cross-verification for tuning parameter in selection LASSO. Each coefficient curve in the upper picture represents a single gene. The solid vertical lines in another picture represent the partial likelihood deviance SE, and the number of genes (n = 10) corresponding to the lowest point of the curve is the most suitable for LASSO. (G). Accuracy graph and cross validation error graph of DFRGs screened with the SVM-RFE algorithm. (H). Venn diagram of the intersection of DFRGs (PTGS2, BECN1, SLC39A14, <t>QSOX1,</t> MLST8, TMSB4X and KDM4A) screened with the two machine learning methods.
Alizarin Red S Solution, supplied by Abcam, 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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tissue sulfhydryl groups  (Ellman International Inc)
90
Ellman International Inc tissue sulfhydryl groups
Fig. 2. Screening to DFRGs from HF dataset. (A). Volcano map of GSE5406. (B). The heatmap of 127 DFRGs in GSE5406. (C). Correlation between the expression of 127 DFRGs. (D-E). The main GO terms and KEGG pathways enriched by differentially expressed mRNAs. (F). The performance in of ten-time cross-verification for tuning parameter in selection LASSO. Each coefficient curve in the upper picture represents a single gene. The solid vertical lines in another picture represent the partial likelihood deviance SE, and the number of genes (n = 10) corresponding to the lowest point of the curve is the most suitable for LASSO. (G). Accuracy graph and cross validation error graph of DFRGs screened with the SVM-RFE algorithm. (H). Venn diagram of the intersection of DFRGs (PTGS2, BECN1, SLC39A14, <t>QSOX1,</t> MLST8, TMSB4X and KDM4A) screened with the two machine learning methods.
Tissue Sulfhydryl Groups, supplied by Ellman International 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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4-armed polyethylene glycol sulfhydryl mw 20,000  (SunBio Inc)
90
SunBio Inc 4-armed polyethylene glycol sulfhydryl mw 20,000
Fig. 2. Screening to DFRGs from HF dataset. (A). Volcano map of GSE5406. (B). The heatmap of 127 DFRGs in GSE5406. (C). Correlation between the expression of 127 DFRGs. (D-E). The main GO terms and KEGG pathways enriched by differentially expressed mRNAs. (F). The performance in of ten-time cross-verification for tuning parameter in selection LASSO. Each coefficient curve in the upper picture represents a single gene. The solid vertical lines in another picture represent the partial likelihood deviance SE, and the number of genes (n = 10) corresponding to the lowest point of the curve is the most suitable for LASSO. (G). Accuracy graph and cross validation error graph of DFRGs screened with the SVM-RFE algorithm. (H). Venn diagram of the intersection of DFRGs (PTGS2, BECN1, SLC39A14, <t>QSOX1,</t> MLST8, TMSB4X and KDM4A) screened with the two machine learning methods.
4 Armed Polyethylene Glycol Sulfhydryl Mw 20,000, supplied by SunBio 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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tannins, norbornene, bis terminal sulfhydryl peg, lithium phenyl 2,4,6 trimethylbenzoylphosphite (lap), bsa  (Macklin Inc)
90
Macklin Inc tannins, norbornene, bis terminal sulfhydryl peg, lithium phenyl 2,4,6 trimethylbenzoylphosphite (lap), bsa
Fig. 2. Screening to DFRGs from HF dataset. (A). Volcano map of GSE5406. (B). The heatmap of 127 DFRGs in GSE5406. (C). Correlation between the expression of 127 DFRGs. (D-E). The main GO terms and KEGG pathways enriched by differentially expressed mRNAs. (F). The performance in of ten-time cross-verification for tuning parameter in selection LASSO. Each coefficient curve in the upper picture represents a single gene. The solid vertical lines in another picture represent the partial likelihood deviance SE, and the number of genes (n = 10) corresponding to the lowest point of the curve is the most suitable for LASSO. (G). Accuracy graph and cross validation error graph of DFRGs screened with the SVM-RFE algorithm. (H). Venn diagram of the intersection of DFRGs (PTGS2, BECN1, SLC39A14, <t>QSOX1,</t> MLST8, TMSB4X and KDM4A) screened with the two machine learning methods.
Tannins, Norbornene, Bis Terminal Sulfhydryl Peg, Lithium Phenyl 2,4,6 Trimethylbenzoylphosphite (Lap), Bsa, supplied by Macklin 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/tannins, norbornene, bis terminal sulfhydryl peg, lithium phenyl 2,4,6 trimethylbenzoylphosphite (lap), bsa/product/Macklin Inc
Average 90 stars, based on 1 article reviews
tannins, norbornene, bis terminal sulfhydryl peg, lithium phenyl 2,4,6 trimethylbenzoylphosphite (lap), bsa - by Bioz Stars, 2026-04
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sulfhydryl-reactive biotin-hpdp  (Cayman Chemical)
90
Cayman Chemical sulfhydryl-reactive biotin-hpdp
Fig. 2. Screening to DFRGs from HF dataset. (A). Volcano map of GSE5406. (B). The heatmap of 127 DFRGs in GSE5406. (C). Correlation between the expression of 127 DFRGs. (D-E). The main GO terms and KEGG pathways enriched by differentially expressed mRNAs. (F). The performance in of ten-time cross-verification for tuning parameter in selection LASSO. Each coefficient curve in the upper picture represents a single gene. The solid vertical lines in another picture represent the partial likelihood deviance SE, and the number of genes (n = 10) corresponding to the lowest point of the curve is the most suitable for LASSO. (G). Accuracy graph and cross validation error graph of DFRGs screened with the SVM-RFE algorithm. (H). Venn diagram of the intersection of DFRGs (PTGS2, BECN1, SLC39A14, <t>QSOX1,</t> MLST8, TMSB4X and KDM4A) screened with the two machine learning methods.
Sulfhydryl Reactive Biotin Hpdp, supplied by Cayman Chemical, 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/sulfhydryl-reactive biotin-hpdp/product/Cayman Chemical
Average 90 stars, based on 1 article reviews
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trace total sulfhydryl determination kit  (Nanjing Jiancheng Bioengineering Research Institute Co Ltd)
90
Nanjing Jiancheng Bioengineering Research Institute Co Ltd trace total sulfhydryl determination kit
Fig. 2. Screening to DFRGs from HF dataset. (A). Volcano map of GSE5406. (B). The heatmap of 127 DFRGs in GSE5406. (C). Correlation between the expression of 127 DFRGs. (D-E). The main GO terms and KEGG pathways enriched by differentially expressed mRNAs. (F). The performance in of ten-time cross-verification for tuning parameter in selection LASSO. Each coefficient curve in the upper picture represents a single gene. The solid vertical lines in another picture represent the partial likelihood deviance SE, and the number of genes (n = 10) corresponding to the lowest point of the curve is the most suitable for LASSO. (G). Accuracy graph and cross validation error graph of DFRGs screened with the SVM-RFE algorithm. (H). Venn diagram of the intersection of DFRGs (PTGS2, BECN1, SLC39A14, <t>QSOX1,</t> MLST8, TMSB4X and KDM4A) screened with the two machine learning methods.
Trace Total Sulfhydryl Determination Kit, supplied by Nanjing Jiancheng Bioengineering Research Institute Co Ltd, 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/trace total sulfhydryl determination kit/product/Nanjing Jiancheng Bioengineering Research Institute Co Ltd
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total sulfhydryl content kit  (Jiancheng Inc)
90
Jiancheng Inc total sulfhydryl content kit
Fig. 2. Screening to DFRGs from HF dataset. (A). Volcano map of GSE5406. (B). The heatmap of 127 DFRGs in GSE5406. (C). Correlation between the expression of 127 DFRGs. (D-E). The main GO terms and KEGG pathways enriched by differentially expressed mRNAs. (F). The performance in of ten-time cross-verification for tuning parameter in selection LASSO. Each coefficient curve in the upper picture represents a single gene. The solid vertical lines in another picture represent the partial likelihood deviance SE, and the number of genes (n = 10) corresponding to the lowest point of the curve is the most suitable for LASSO. (G). Accuracy graph and cross validation error graph of DFRGs screened with the SVM-RFE algorithm. (H). Venn diagram of the intersection of DFRGs (PTGS2, BECN1, SLC39A14, <t>QSOX1,</t> MLST8, TMSB4X and KDM4A) screened with the two machine learning methods.
Total Sulfhydryl Content Kit, supplied by Jiancheng 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/total sulfhydryl content kit/product/Jiancheng Inc
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sulfhydryl coated magnetic beads  (Bioclone Inc)
90
Bioclone Inc sulfhydryl coated magnetic beads
Fig. 2. Screening to DFRGs from HF dataset. (A). Volcano map of GSE5406. (B). The heatmap of 127 DFRGs in GSE5406. (C). Correlation between the expression of 127 DFRGs. (D-E). The main GO terms and KEGG pathways enriched by differentially expressed mRNAs. (F). The performance in of ten-time cross-verification for tuning parameter in selection LASSO. Each coefficient curve in the upper picture represents a single gene. The solid vertical lines in another picture represent the partial likelihood deviance SE, and the number of genes (n = 10) corresponding to the lowest point of the curve is the most suitable for LASSO. (G). Accuracy graph and cross validation error graph of DFRGs screened with the SVM-RFE algorithm. (H). Venn diagram of the intersection of DFRGs (PTGS2, BECN1, SLC39A14, <t>QSOX1,</t> MLST8, TMSB4X and KDM4A) screened with the two machine learning methods.
Sulfhydryl Coated Magnetic Beads, supplied by Bioclone 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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pentaerythritol poly(ethylene glycol) ether tetra-sulfhydryl (molecular weight 10,000)  (Nektar Inc)
90
Nektar Inc pentaerythritol poly(ethylene glycol) ether tetra-sulfhydryl (molecular weight 10,000)
Fig. 2. Screening to DFRGs from HF dataset. (A). Volcano map of GSE5406. (B). The heatmap of 127 DFRGs in GSE5406. (C). Correlation between the expression of 127 DFRGs. (D-E). The main GO terms and KEGG pathways enriched by differentially expressed mRNAs. (F). The performance in of ten-time cross-verification for tuning parameter in selection LASSO. Each coefficient curve in the upper picture represents a single gene. The solid vertical lines in another picture represent the partial likelihood deviance SE, and the number of genes (n = 10) corresponding to the lowest point of the curve is the most suitable for LASSO. (G). Accuracy graph and cross validation error graph of DFRGs screened with the SVM-RFE algorithm. (H). Venn diagram of the intersection of DFRGs (PTGS2, BECN1, SLC39A14, <t>QSOX1,</t> MLST8, TMSB4X and KDM4A) screened with the two machine learning methods.
Pentaerythritol Poly(Ethylene Glycol) Ether Tetra Sulfhydryl (Molecular Weight 10,000), supplied by Nektar 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


Fig. 2. Screening to DFRGs from HF dataset. (A). Volcano map of GSE5406. (B). The heatmap of 127 DFRGs in GSE5406. (C). Correlation between the expression of 127 DFRGs. (D-E). The main GO terms and KEGG pathways enriched by differentially expressed mRNAs. (F). The performance in of ten-time cross-verification for tuning parameter in selection LASSO. Each coefficient curve in the upper picture represents a single gene. The solid vertical lines in another picture represent the partial likelihood deviance SE, and the number of genes (n = 10) corresponding to the lowest point of the curve is the most suitable for LASSO. (G). Accuracy graph and cross validation error graph of DFRGs screened with the SVM-RFE algorithm. (H). Venn diagram of the intersection of DFRGs (PTGS2, BECN1, SLC39A14, QSOX1, MLST8, TMSB4X and KDM4A) screened with the two machine learning methods.

Journal: Cellular signalling

Article Title: Elucidating ferroptosis mechanisms in heart failure through transcriptomics, single-cell sequencing, and experimental validation.

doi: 10.1016/j.cellsig.2024.111416

Figure Lengend Snippet: Fig. 2. Screening to DFRGs from HF dataset. (A). Volcano map of GSE5406. (B). The heatmap of 127 DFRGs in GSE5406. (C). Correlation between the expression of 127 DFRGs. (D-E). The main GO terms and KEGG pathways enriched by differentially expressed mRNAs. (F). The performance in of ten-time cross-verification for tuning parameter in selection LASSO. Each coefficient curve in the upper picture represents a single gene. The solid vertical lines in another picture represent the partial likelihood deviance SE, and the number of genes (n = 10) corresponding to the lowest point of the curve is the most suitable for LASSO. (G). Accuracy graph and cross validation error graph of DFRGs screened with the SVM-RFE algorithm. (H). Venn diagram of the intersection of DFRGs (PTGS2, BECN1, SLC39A14, QSOX1, MLST8, TMSB4X and KDM4A) screened with the two machine learning methods.

Article Snippet: SLC39A14 (Cat No: 26540–1-AP) and QSOX1 (Cat No: 12713–1-AP) antibodies were purchased from Proteintech (Wuhan, China).

Techniques: Expressing, Selection, Biomarker Discovery

Fig. 5. Expression of 7 key DFRGs in the single-cell sequencing dataset. (A). 10 cell types were identified, including B cell, Cardiomyocyte, Dendritic cell, Endothelial cell, Fibroblast, Macrophage, Mast cell, Neutrophils, NK cell, T cell. (B). Compared with normal tissue, cardiomyocytes, neutrophils, and B cells accounted for a decreased percentage of total cells and macrophages, endothelial cells dendritic cells, NK cells, and T cells accounted for an increased percentage of total cells in heart failure tissue. (C–D). Expression of 7 DFRGs in 10 cell types. MSB4X was mainly expressed in immune cells such as T cells, NK cells, and macrophages, MLST8 was mainly expressed in mast cells and fibroblasts, QSOX1 was mainly expressed in T cells, mast cells, and fibroblasts, and SLC39A14 was mainly expressed in neu trophils, mast cells, and cardiomyocytes. (E). BECN1, TMSB4X, and KDM4A had no altered expression in control and HF cell models, whereas the expression of MLST8, PTG32 and QSXO1 and SLC39A14 differed between the two groups.

Journal: Cellular signalling

Article Title: Elucidating ferroptosis mechanisms in heart failure through transcriptomics, single-cell sequencing, and experimental validation.

doi: 10.1016/j.cellsig.2024.111416

Figure Lengend Snippet: Fig. 5. Expression of 7 key DFRGs in the single-cell sequencing dataset. (A). 10 cell types were identified, including B cell, Cardiomyocyte, Dendritic cell, Endothelial cell, Fibroblast, Macrophage, Mast cell, Neutrophils, NK cell, T cell. (B). Compared with normal tissue, cardiomyocytes, neutrophils, and B cells accounted for a decreased percentage of total cells and macrophages, endothelial cells dendritic cells, NK cells, and T cells accounted for an increased percentage of total cells in heart failure tissue. (C–D). Expression of 7 DFRGs in 10 cell types. MSB4X was mainly expressed in immune cells such as T cells, NK cells, and macrophages, MLST8 was mainly expressed in mast cells and fibroblasts, QSOX1 was mainly expressed in T cells, mast cells, and fibroblasts, and SLC39A14 was mainly expressed in neu trophils, mast cells, and cardiomyocytes. (E). BECN1, TMSB4X, and KDM4A had no altered expression in control and HF cell models, whereas the expression of MLST8, PTG32 and QSXO1 and SLC39A14 differed between the two groups.

Article Snippet: SLC39A14 (Cat No: 26540–1-AP) and QSOX1 (Cat No: 12713–1-AP) antibodies were purchased from Proteintech (Wuhan, China).

Techniques: Expressing, Sequencing, Control

Fig. 6. Differential expression of QSXO1 and SLC39A14 was verified in the vivo. (A). Body weight levels of mice in each group during HFpEF modeling. (B). Changes in blood pressure in each group. (C). There were no statistically significant differences in left ventricular ejection fraction and left ventricular shortening fraction in the HFpEF group of mice compared to the control group. (D). The E/A ratio was significantly higher in the HFpEF group than in the control group. (E-F). MASSON staining of the HFpEF and control groups. (G). Western blot results showed that the protein expression of QSOX1 was higher than that of the control group, and the protein expression of SLC39A14 was lower than that of the control group. (H). The expression of QSOX1 was found to be higher in the HFpEF group than in the control group with the use of immunohistochemical staining. (I). The expression of SLC39A14 was found to be higher in the HFpEF group than in the control group with the use of immunohistochemical staining.

Journal: Cellular signalling

Article Title: Elucidating ferroptosis mechanisms in heart failure through transcriptomics, single-cell sequencing, and experimental validation.

doi: 10.1016/j.cellsig.2024.111416

Figure Lengend Snippet: Fig. 6. Differential expression of QSXO1 and SLC39A14 was verified in the vivo. (A). Body weight levels of mice in each group during HFpEF modeling. (B). Changes in blood pressure in each group. (C). There were no statistically significant differences in left ventricular ejection fraction and left ventricular shortening fraction in the HFpEF group of mice compared to the control group. (D). The E/A ratio was significantly higher in the HFpEF group than in the control group. (E-F). MASSON staining of the HFpEF and control groups. (G). Western blot results showed that the protein expression of QSOX1 was higher than that of the control group, and the protein expression of SLC39A14 was lower than that of the control group. (H). The expression of QSOX1 was found to be higher in the HFpEF group than in the control group with the use of immunohistochemical staining. (I). The expression of SLC39A14 was found to be higher in the HFpEF group than in the control group with the use of immunohistochemical staining.

Article Snippet: SLC39A14 (Cat No: 26540–1-AP) and QSOX1 (Cat No: 12713–1-AP) antibodies were purchased from Proteintech (Wuhan, China).

Techniques: Quantitative Proteomics, Control, Staining, Western Blot, Expressing, Immunohistochemical staining