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Effects of JX granules on differentially expressed proteins in HF rats. The volcano plots ( A ) and <t>Heatmaps</t> ( B ) of differentially expressed proteins.Their expression is calculated by log2 method and displayed in the volcano plots and heatmaps in different colors, where red represents significantly up-regulated proteins, blue represents significantly down-regulated proteins, and gray part represents no quantitative information of proteins. DEPs differentially expressed proteins, M model group, J JX granules, Z control group
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Effects of JX granules on differentially expressed proteins in HF rats. The volcano plots ( A ) and <t>Heatmaps</t> ( B ) of differentially expressed proteins.Their expression is calculated by log2 method and displayed in the volcano plots and heatmaps in different colors, where red represents significantly up-regulated proteins, blue represents significantly down-regulated proteins, and gray part represents no quantitative information of proteins. DEPs differentially expressed proteins, M model group, J JX granules, Z control group
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Effects of JX granules on differentially expressed proteins in HF rats. The volcano plots ( A ) and <t>Heatmaps</t> ( B ) of differentially expressed proteins.Their expression is calculated by log2 method and displayed in the volcano plots and heatmaps in different colors, where red represents significantly up-regulated proteins, blue represents significantly down-regulated proteins, and gray part represents no quantitative information of proteins. DEPs differentially expressed proteins, M model group, J JX granules, Z control group
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Effects of JX granules on differentially expressed proteins in HF rats. The volcano plots ( A ) and Heatmaps ( B ) of differentially expressed proteins.Their expression is calculated by log2 method and displayed in the volcano plots and heatmaps in different colors, where red represents significantly up-regulated proteins, blue represents significantly down-regulated proteins, and gray part represents no quantitative information of proteins. DEPs differentially expressed proteins, M model group, J JX granules, Z control group

Journal: Chinese Medicine

Article Title: Mechanism of jianxin granules in the treatment of heart failure based on proteomics and metabolomics

doi: 10.1186/s13020-024-01009-6

Figure Lengend Snippet: Effects of JX granules on differentially expressed proteins in HF rats. The volcano plots ( A ) and Heatmaps ( B ) of differentially expressed proteins.Their expression is calculated by log2 method and displayed in the volcano plots and heatmaps in different colors, where red represents significantly up-regulated proteins, blue represents significantly down-regulated proteins, and gray part represents no quantitative information of proteins. DEPs differentially expressed proteins, M model group, J JX granules, Z control group

Article Snippet: Multivariate analyses, including 2D Hierarchical Cluster Analysis (HCA) Heatmaps and Principal Component Analysis (PCA) plots, were performed using Qlucore Omics Explorer (Qlucore, Lund Sweden).

Techniques: Expressing, Control

Biomarker identification. A Heatmap and hierarchical clustering of potential biomarkers was generated using top ranked genes in biomarker analysis using Partek. B qPCR was carried out to to validate potential biomarker genes (Mean ± SEM. N = 8). C Linearity between RNA-Seq and qPCR reseults were analyzed using Pearson correlation coefficient

Journal: BMC Genomics

Article Title: Exploring the Sublethal Impacts of Cu and Zn on Daphnia magna : a transcriptomic perspective

doi: 10.1186/s12864-024-10701-8

Figure Lengend Snippet: Biomarker identification. A Heatmap and hierarchical clustering of potential biomarkers was generated using top ranked genes in biomarker analysis using Partek. B qPCR was carried out to to validate potential biomarker genes (Mean ± SEM. N = 8). C Linearity between RNA-Seq and qPCR reseults were analyzed using Pearson correlation coefficient

Article Snippet: A Heatmap and hierarchical clustering of potential biomarkers was generated using top ranked genes in biomarker analysis using Partek.

Techniques: Biomarker Discovery, Generated, RNA Sequencing