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Genechem proteomic analyses
CMKLR1 knockdown suppresses mitochondrial OXPHOS in OSCC cells. (A) Volcano plot of DEPs in CMKLR1-knockdown and control Cal-27 cells, depicting upregulated proteins (red), downregulated proteins (blue), and nonsignificant proteins (gray). (B) Heatmap of the top DEPs identified through <t>proteomic</t> analysis. (C) Subcellular localization pie chart of DEPs, revealing a large proportion localized to mitochondria. (D, E) GO and KEGG pathway enrichment analyses of DEPs, highlighting enrichment in OXPHOS-related processes. (F) Gene set enrichment analysis demonstrating the significant downregulation of OXPHOS in CMKLR1-silenced cells. (G) Seahorse XF analysis of mitochondrial respiration indicating a reduced OCR in CMKLR1-knockdown OSCC cells. (H) Quantification of basal respiration, ATP production, maximal respiration, and spare respiratory capacity in CMKLR1-knockdown cells. (I) Western blot analysis of representative OXPHOS complex subunits (CI-NDUFB8, CII-SDHB, CIII-UQCRC1, CIV-MTCO2, and CV-ATP5A1), with β-actin as loading control. (J) Representative MitoTracker images and quantification of fluorescence intensity (MitoTracker Red, scale bar = 20 μm). * P < .05; ** P < .01; *** P < .001.
Proteomic Analyses, supplied by Genechem, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/proteomic+analyses/pmc13011209-117-1-6?v=Genechem
Average 86 stars, based on 1 article reviews
proteomic analyses - by Bioz Stars, 2026-06
86/100 stars

Images

1) Product Images from "Chemokine-Like Receptor 1 Knockdown Suppresses Oral Squamous Cell Carcinoma Progression by Reducing Oxidative Phosphorylation"

Article Title: Chemokine-Like Receptor 1 Knockdown Suppresses Oral Squamous Cell Carcinoma Progression by Reducing Oxidative Phosphorylation

Journal: International Dental Journal

doi: 10.1016/j.identj.2026.109479

CMKLR1 knockdown suppresses mitochondrial OXPHOS in OSCC cells. (A) Volcano plot of DEPs in CMKLR1-knockdown and control Cal-27 cells, depicting upregulated proteins (red), downregulated proteins (blue), and nonsignificant proteins (gray). (B) Heatmap of the top DEPs identified through proteomic analysis. (C) Subcellular localization pie chart of DEPs, revealing a large proportion localized to mitochondria. (D, E) GO and KEGG pathway enrichment analyses of DEPs, highlighting enrichment in OXPHOS-related processes. (F) Gene set enrichment analysis demonstrating the significant downregulation of OXPHOS in CMKLR1-silenced cells. (G) Seahorse XF analysis of mitochondrial respiration indicating a reduced OCR in CMKLR1-knockdown OSCC cells. (H) Quantification of basal respiration, ATP production, maximal respiration, and spare respiratory capacity in CMKLR1-knockdown cells. (I) Western blot analysis of representative OXPHOS complex subunits (CI-NDUFB8, CII-SDHB, CIII-UQCRC1, CIV-MTCO2, and CV-ATP5A1), with β-actin as loading control. (J) Representative MitoTracker images and quantification of fluorescence intensity (MitoTracker Red, scale bar = 20 μm). * P < .05; ** P < .01; *** P < .001.
Figure Legend Snippet: CMKLR1 knockdown suppresses mitochondrial OXPHOS in OSCC cells. (A) Volcano plot of DEPs in CMKLR1-knockdown and control Cal-27 cells, depicting upregulated proteins (red), downregulated proteins (blue), and nonsignificant proteins (gray). (B) Heatmap of the top DEPs identified through proteomic analysis. (C) Subcellular localization pie chart of DEPs, revealing a large proportion localized to mitochondria. (D, E) GO and KEGG pathway enrichment analyses of DEPs, highlighting enrichment in OXPHOS-related processes. (F) Gene set enrichment analysis demonstrating the significant downregulation of OXPHOS in CMKLR1-silenced cells. (G) Seahorse XF analysis of mitochondrial respiration indicating a reduced OCR in CMKLR1-knockdown OSCC cells. (H) Quantification of basal respiration, ATP production, maximal respiration, and spare respiratory capacity in CMKLR1-knockdown cells. (I) Western blot analysis of representative OXPHOS complex subunits (CI-NDUFB8, CII-SDHB, CIII-UQCRC1, CIV-MTCO2, and CV-ATP5A1), with β-actin as loading control. (J) Representative MitoTracker images and quantification of fluorescence intensity (MitoTracker Red, scale bar = 20 μm). * P < .05; ** P < .01; *** P < .001.

Techniques Used: Knockdown, Control, Western Blot, Fluorescence



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CMKLR1 knockdown suppresses mitochondrial OXPHOS in OSCC cells. (A) Volcano plot of DEPs in CMKLR1-knockdown and control Cal-27 cells, depicting upregulated proteins (red), downregulated proteins (blue), and nonsignificant proteins (gray). (B) Heatmap of the top DEPs identified through <t>proteomic</t> analysis. (C) Subcellular localization pie chart of DEPs, revealing a large proportion localized to mitochondria. (D, E) GO and KEGG pathway enrichment analyses of DEPs, highlighting enrichment in OXPHOS-related processes. (F) Gene set enrichment analysis demonstrating the significant downregulation of OXPHOS in CMKLR1-silenced cells. (G) Seahorse XF analysis of mitochondrial respiration indicating a reduced OCR in CMKLR1-knockdown OSCC cells. (H) Quantification of basal respiration, ATP production, maximal respiration, and spare respiratory capacity in CMKLR1-knockdown cells. (I) Western blot analysis of representative OXPHOS complex subunits (CI-NDUFB8, CII-SDHB, CIII-UQCRC1, CIV-MTCO2, and CV-ATP5A1), with β-actin as loading control. (J) Representative MitoTracker images and quantification of fluorescence intensity (MitoTracker Red, scale bar = 20 μm). * P < .05; ** P < .01; *** P < .001.
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Study design and global multi-omics profiling of patients with VP and VAPA. (A) Schematic overview of the study design and patient grouping. (B) Principal component analysis (PCA) of plasma <t>proteomic</t> datasets. Each dot represents an individual plasma sample and different colors denote different patient groups. (C) Volcano plots of differentially expressed proteins between the VP and VAPA groups. Red points indicate significantly increased features, blue points indicate significantly decreased features, and gray points represent features with no significant differences. (D) Principal component analysis (PCA) of plasma metabolomic datasets. Each dot represents an individual plasma sample and different colors denote different patient groups. (E) Volcano plots of differentially expressed metabolites between the VP and VAPA groups. Red points indicate significantly increased features, blue points indicate significantly decreased features, and gray points represent features with no significant differences.
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Study design and global multi-omics profiling of patients with VP and VAPA. (A) Schematic overview of the study design and patient grouping. (B) Principal component analysis (PCA) of plasma <t>proteomic</t> datasets. Each dot represents an individual plasma sample and different colors denote different patient groups. (C) Volcano plots of differentially expressed proteins between the VP and VAPA groups. Red points indicate significantly increased features, blue points indicate significantly decreased features, and gray points represent features with no significant differences. (D) Principal component analysis (PCA) of plasma metabolomic datasets. Each dot represents an individual plasma sample and different colors denote different patient groups. (E) Volcano plots of differentially expressed metabolites between the VP and VAPA groups. Red points indicate significantly increased features, blue points indicate significantly decreased features, and gray points represent features with no significant differences.
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Study design and global multi-omics profiling of patients with VP and VAPA. (A) Schematic overview of the study design and patient grouping. (B) Principal component analysis (PCA) of plasma <t>proteomic</t> datasets. Each dot represents an individual plasma sample and different colors denote different patient groups. (C) Volcano plots of differentially expressed proteins between the VP and VAPA groups. Red points indicate significantly increased features, blue points indicate significantly decreased features, and gray points represent features with no significant differences. (D) Principal component analysis (PCA) of plasma metabolomic datasets. Each dot represents an individual plasma sample and different colors denote different patient groups. (E) Volcano plots of differentially expressed metabolites between the VP and VAPA groups. Red points indicate significantly increased features, blue points indicate significantly decreased features, and gray points represent features with no significant differences.
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Study design and global multi-omics profiling of patients with VP and VAPA. (A) Schematic overview of the study design and patient grouping. (B) Principal component analysis (PCA) of plasma <t>proteomic</t> datasets. Each dot represents an individual plasma sample and different colors denote different patient groups. (C) Volcano plots of differentially expressed proteins between the VP and VAPA groups. Red points indicate significantly increased features, blue points indicate significantly decreased features, and gray points represent features with no significant differences. (D) Principal component analysis (PCA) of plasma metabolomic datasets. Each dot represents an individual plasma sample and different colors denote different patient groups. (E) Volcano plots of differentially expressed metabolites between the VP and VAPA groups. Red points indicate significantly increased features, blue points indicate significantly decreased features, and gray points represent features with no significant differences.
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Study design and global multi-omics profiling of patients with VP and VAPA. (A) Schematic overview of the study design and patient grouping. (B) Principal component analysis (PCA) of plasma <t>proteomic</t> datasets. Each dot represents an individual plasma sample and different colors denote different patient groups. (C) Volcano plots of differentially expressed proteins between the VP and VAPA groups. Red points indicate significantly increased features, blue points indicate significantly decreased features, and gray points represent features with no significant differences. (D) Principal component analysis (PCA) of plasma metabolomic datasets. Each dot represents an individual plasma sample and different colors denote different patient groups. (E) Volcano plots of differentially expressed metabolites between the VP and VAPA groups. Red points indicate significantly increased features, blue points indicate significantly decreased features, and gray points represent features with no significant differences.
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Study design and global multi-omics profiling of patients with VP and VAPA. (A) Schematic overview of the study design and patient grouping. (B) Principal component analysis (PCA) of plasma <t>proteomic</t> datasets. Each dot represents an individual plasma sample and different colors denote different patient groups. (C) Volcano plots of differentially expressed proteins between the VP and VAPA groups. Red points indicate significantly increased features, blue points indicate significantly decreased features, and gray points represent features with no significant differences. (D) Principal component analysis (PCA) of plasma metabolomic datasets. Each dot represents an individual plasma sample and different colors denote different patient groups. (E) Volcano plots of differentially expressed metabolites between the VP and VAPA groups. Red points indicate significantly increased features, blue points indicate significantly decreased features, and gray points represent features with no significant differences.
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Study design and global multi-omics profiling of patients with VP and VAPA. (A) Schematic overview of the study design and patient grouping. (B) Principal component analysis (PCA) of plasma <t>proteomic</t> datasets. Each dot represents an individual plasma sample and different colors denote different patient groups. (C) Volcano plots of differentially expressed proteins between the VP and VAPA groups. Red points indicate significantly increased features, blue points indicate significantly decreased features, and gray points represent features with no significant differences. (D) Principal component analysis (PCA) of plasma metabolomic datasets. Each dot represents an individual plasma sample and different colors denote different patient groups. (E) Volcano plots of differentially expressed metabolites between the VP and VAPA groups. Red points indicate significantly increased features, blue points indicate significantly decreased features, and gray points represent features with no significant differences.
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Image Search Results


CMKLR1 knockdown suppresses mitochondrial OXPHOS in OSCC cells. (A) Volcano plot of DEPs in CMKLR1-knockdown and control Cal-27 cells, depicting upregulated proteins (red), downregulated proteins (blue), and nonsignificant proteins (gray). (B) Heatmap of the top DEPs identified through proteomic analysis. (C) Subcellular localization pie chart of DEPs, revealing a large proportion localized to mitochondria. (D, E) GO and KEGG pathway enrichment analyses of DEPs, highlighting enrichment in OXPHOS-related processes. (F) Gene set enrichment analysis demonstrating the significant downregulation of OXPHOS in CMKLR1-silenced cells. (G) Seahorse XF analysis of mitochondrial respiration indicating a reduced OCR in CMKLR1-knockdown OSCC cells. (H) Quantification of basal respiration, ATP production, maximal respiration, and spare respiratory capacity in CMKLR1-knockdown cells. (I) Western blot analysis of representative OXPHOS complex subunits (CI-NDUFB8, CII-SDHB, CIII-UQCRC1, CIV-MTCO2, and CV-ATP5A1), with β-actin as loading control. (J) Representative MitoTracker images and quantification of fluorescence intensity (MitoTracker Red, scale bar = 20 μm). * P < .05; ** P < .01; *** P < .001.

Journal: International Dental Journal

Article Title: Chemokine-Like Receptor 1 Knockdown Suppresses Oral Squamous Cell Carcinoma Progression by Reducing Oxidative Phosphorylation

doi: 10.1016/j.identj.2026.109479

Figure Lengend Snippet: CMKLR1 knockdown suppresses mitochondrial OXPHOS in OSCC cells. (A) Volcano plot of DEPs in CMKLR1-knockdown and control Cal-27 cells, depicting upregulated proteins (red), downregulated proteins (blue), and nonsignificant proteins (gray). (B) Heatmap of the top DEPs identified through proteomic analysis. (C) Subcellular localization pie chart of DEPs, revealing a large proportion localized to mitochondria. (D, E) GO and KEGG pathway enrichment analyses of DEPs, highlighting enrichment in OXPHOS-related processes. (F) Gene set enrichment analysis demonstrating the significant downregulation of OXPHOS in CMKLR1-silenced cells. (G) Seahorse XF analysis of mitochondrial respiration indicating a reduced OCR in CMKLR1-knockdown OSCC cells. (H) Quantification of basal respiration, ATP production, maximal respiration, and spare respiratory capacity in CMKLR1-knockdown cells. (I) Western blot analysis of representative OXPHOS complex subunits (CI-NDUFB8, CII-SDHB, CIII-UQCRC1, CIV-MTCO2, and CV-ATP5A1), with β-actin as loading control. (J) Representative MitoTracker images and quantification of fluorescence intensity (MitoTracker Red, scale bar = 20 μm). * P < .05; ** P < .01; *** P < .001.

Article Snippet: All proteomic analyses were conducted by GeneChem (Shanghai, China).

Techniques: Knockdown, Control, Western Blot, Fluorescence

Study design and global multi-omics profiling of patients with VP and VAPA. (A) Schematic overview of the study design and patient grouping. (B) Principal component analysis (PCA) of plasma proteomic datasets. Each dot represents an individual plasma sample and different colors denote different patient groups. (C) Volcano plots of differentially expressed proteins between the VP and VAPA groups. Red points indicate significantly increased features, blue points indicate significantly decreased features, and gray points represent features with no significant differences. (D) Principal component analysis (PCA) of plasma metabolomic datasets. Each dot represents an individual plasma sample and different colors denote different patient groups. (E) Volcano plots of differentially expressed metabolites between the VP and VAPA groups. Red points indicate significantly increased features, blue points indicate significantly decreased features, and gray points represent features with no significant differences.

Journal: Frontiers in Cellular and Infection Microbiology

Article Title: Amplified inflammatory and immune responses in viral-associated pulmonary aspergillosis

doi: 10.3389/fcimb.2026.1850127

Figure Lengend Snippet: Study design and global multi-omics profiling of patients with VP and VAPA. (A) Schematic overview of the study design and patient grouping. (B) Principal component analysis (PCA) of plasma proteomic datasets. Each dot represents an individual plasma sample and different colors denote different patient groups. (C) Volcano plots of differentially expressed proteins between the VP and VAPA groups. Red points indicate significantly increased features, blue points indicate significantly decreased features, and gray points represent features with no significant differences. (D) Principal component analysis (PCA) of plasma metabolomic datasets. Each dot represents an individual plasma sample and different colors denote different patient groups. (E) Volcano plots of differentially expressed metabolites between the VP and VAPA groups. Red points indicate significantly increased features, blue points indicate significantly decreased features, and gray points represent features with no significant differences.

Article Snippet: All proteomic analyses were performed by Novogene Co., Ltd. (Beijing, China).

Techniques: Biomarker Discovery, Clinical Proteomics, Metabolomic

Plasma proteomic profiles of patients with VP and VAPA. (A) Bar chart showing functional classification of all identified plasma proteins. (B) Hierarchical clustering heatmap of proteins that are differentially expressed between patients with VP and VAPA. Columns represent individual plasma samples, and rows represent differentially expressed proteins. Color intensity from blue to red indicates relative protein abundance ranging from low to high.

Journal: Frontiers in Cellular and Infection Microbiology

Article Title: Amplified inflammatory and immune responses in viral-associated pulmonary aspergillosis

doi: 10.3389/fcimb.2026.1850127

Figure Lengend Snippet: Plasma proteomic profiles of patients with VP and VAPA. (A) Bar chart showing functional classification of all identified plasma proteins. (B) Hierarchical clustering heatmap of proteins that are differentially expressed between patients with VP and VAPA. Columns represent individual plasma samples, and rows represent differentially expressed proteins. Color intensity from blue to red indicates relative protein abundance ranging from low to high.

Article Snippet: All proteomic analyses were performed by Novogene Co., Ltd. (Beijing, China).

Techniques: Clinical Proteomics, Functional Assay, Quantitative Proteomics