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antibodies against echs1  (Proteintech)


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    Structured Review

    Proteintech antibodies against echs1
    Bioinformatic analysis of transcriptome DEGs and mitochondria-related genes, and validation of MR-DEG hub genes using the GEO database. (A) Venn diagram showing the intersection of transcriptome DEGs and mitochondria-related genes. (B) KEGG enrichment analysis of MR-DEGs. (C) GO functional annotation of MR-DEGs. (D) PPI network analysis for screening hub genes. (E, F) RNA expression of hub genes <t>ECHS1,</t> HADH, ACADM, ACACA, FASN, and ACLY in the public GEO dataset ( GSE40611 ). P-values: Healthy control vs. SS group: ECHS1 ( P < 0.01), HADH ( P < 0.01), ACADM ( P = 0.4579), ACACA ( P = 0.2790), FASN ( P = 0.7094), ACLY ( P = 0.2003); SS group vs. non-SS control group: ECHS1 ( P < 0.0001), HADH ( P < 0.0001), ACADM ( P < 0.05), ACACA ( P < 0.0001), FASN ( P = 0.0688), ACLY ( P < 0.01). Only ECHS1 and HADH showed significant differences in both comparison sets.
    Antibodies Against Echs1, supplied by Proteintech, used in various techniques. Bioz Stars score: 93/100, based on 44 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/antibodies against echs1/product/Proteintech
    Average 93 stars, based on 44 article reviews
    antibodies against echs1 - by Bioz Stars, 2026-06
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    Images

    1) Product Images from "Downregulated ECHS1 and HADH-mediated fatty acid β-oxidation contributes to mitochondrial dysfunction in salivary glands of Sjögren's syndrome"

    Article Title: Downregulated ECHS1 and HADH-mediated fatty acid β-oxidation contributes to mitochondrial dysfunction in salivary glands of Sjögren's syndrome

    Journal: Journal of Translational Autoimmunity

    doi: 10.1016/j.jtauto.2026.100350

    Bioinformatic analysis of transcriptome DEGs and mitochondria-related genes, and validation of MR-DEG hub genes using the GEO database. (A) Venn diagram showing the intersection of transcriptome DEGs and mitochondria-related genes. (B) KEGG enrichment analysis of MR-DEGs. (C) GO functional annotation of MR-DEGs. (D) PPI network analysis for screening hub genes. (E, F) RNA expression of hub genes ECHS1, HADH, ACADM, ACACA, FASN, and ACLY in the public GEO dataset ( GSE40611 ). P-values: Healthy control vs. SS group: ECHS1 ( P < 0.01), HADH ( P < 0.01), ACADM ( P = 0.4579), ACACA ( P = 0.2790), FASN ( P = 0.7094), ACLY ( P = 0.2003); SS group vs. non-SS control group: ECHS1 ( P < 0.0001), HADH ( P < 0.0001), ACADM ( P < 0.05), ACACA ( P < 0.0001), FASN ( P = 0.0688), ACLY ( P < 0.01). Only ECHS1 and HADH showed significant differences in both comparison sets.
    Figure Legend Snippet: Bioinformatic analysis of transcriptome DEGs and mitochondria-related genes, and validation of MR-DEG hub genes using the GEO database. (A) Venn diagram showing the intersection of transcriptome DEGs and mitochondria-related genes. (B) KEGG enrichment analysis of MR-DEGs. (C) GO functional annotation of MR-DEGs. (D) PPI network analysis for screening hub genes. (E, F) RNA expression of hub genes ECHS1, HADH, ACADM, ACACA, FASN, and ACLY in the public GEO dataset ( GSE40611 ). P-values: Healthy control vs. SS group: ECHS1 ( P < 0.01), HADH ( P < 0.01), ACADM ( P = 0.4579), ACACA ( P = 0.2790), FASN ( P = 0.7094), ACLY ( P = 0.2003); SS group vs. non-SS control group: ECHS1 ( P < 0.0001), HADH ( P < 0.0001), ACADM ( P < 0.05), ACACA ( P < 0.0001), FASN ( P = 0.0688), ACLY ( P < 0.01). Only ECHS1 and HADH showed significant differences in both comparison sets.

    Techniques Used: Biomarker Discovery, Functional Assay, RNA Expression, Control, Comparison

    Validation of ECHS1 and HADH expression in human and mouse salivary glands. (A) Representative immunofluorescence images of ECHS1 and HADH in salivary glands of non-SS controls (40x). (B) Representative immunofluorescence images of ECHS1 and HADH in salivary glands of SS patients (40x). (C) PCR statistical results for ECHS1 in ICR-control vs. NOD mouse salivary glands ( n = 5 , P < 0.01). (D) PCR statistical results for HADH in ICR-control vs. NOD mouse salivary glands ( n = 5 , P < 0.01). (E) Statistical results of mean fluorescence intensity for ECHS1 in non-SS controls vs. SS patients ( n = 6 , P < 0.001). (F) Statistical results of mean fluorescence intensity for HADH in non-SS controls vs. SS patients ( n = 6 , P < 0.0001).
    Figure Legend Snippet: Validation of ECHS1 and HADH expression in human and mouse salivary glands. (A) Representative immunofluorescence images of ECHS1 and HADH in salivary glands of non-SS controls (40x). (B) Representative immunofluorescence images of ECHS1 and HADH in salivary glands of SS patients (40x). (C) PCR statistical results for ECHS1 in ICR-control vs. NOD mouse salivary glands ( n = 5 , P < 0.01). (D) PCR statistical results for HADH in ICR-control vs. NOD mouse salivary glands ( n = 5 , P < 0.01). (E) Statistical results of mean fluorescence intensity for ECHS1 in non-SS controls vs. SS patients ( n = 6 , P < 0.001). (F) Statistical results of mean fluorescence intensity for HADH in non-SS controls vs. SS patients ( n = 6 , P < 0.0001).

    Techniques Used: Biomarker Discovery, Expressing, Immunofluorescence, Control, Fluorescence



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    Image Search Results


    Bioinformatic analysis of transcriptome DEGs and mitochondria-related genes, and validation of MR-DEG hub genes using the GEO database. (A) Venn diagram showing the intersection of transcriptome DEGs and mitochondria-related genes. (B) KEGG enrichment analysis of MR-DEGs. (C) GO functional annotation of MR-DEGs. (D) PPI network analysis for screening hub genes. (E, F) RNA expression of hub genes ECHS1, HADH, ACADM, ACACA, FASN, and ACLY in the public GEO dataset ( GSE40611 ). P-values: Healthy control vs. SS group: ECHS1 ( P < 0.01), HADH ( P < 0.01), ACADM ( P = 0.4579), ACACA ( P = 0.2790), FASN ( P = 0.7094), ACLY ( P = 0.2003); SS group vs. non-SS control group: ECHS1 ( P < 0.0001), HADH ( P < 0.0001), ACADM ( P < 0.05), ACACA ( P < 0.0001), FASN ( P = 0.0688), ACLY ( P < 0.01). Only ECHS1 and HADH showed significant differences in both comparison sets.

    Journal: Journal of Translational Autoimmunity

    Article Title: Downregulated ECHS1 and HADH-mediated fatty acid β-oxidation contributes to mitochondrial dysfunction in salivary glands of Sjögren's syndrome

    doi: 10.1016/j.jtauto.2026.100350

    Figure Lengend Snippet: Bioinformatic analysis of transcriptome DEGs and mitochondria-related genes, and validation of MR-DEG hub genes using the GEO database. (A) Venn diagram showing the intersection of transcriptome DEGs and mitochondria-related genes. (B) KEGG enrichment analysis of MR-DEGs. (C) GO functional annotation of MR-DEGs. (D) PPI network analysis for screening hub genes. (E, F) RNA expression of hub genes ECHS1, HADH, ACADM, ACACA, FASN, and ACLY in the public GEO dataset ( GSE40611 ). P-values: Healthy control vs. SS group: ECHS1 ( P < 0.01), HADH ( P < 0.01), ACADM ( P = 0.4579), ACACA ( P = 0.2790), FASN ( P = 0.7094), ACLY ( P = 0.2003); SS group vs. non-SS control group: ECHS1 ( P < 0.0001), HADH ( P < 0.0001), ACADM ( P < 0.05), ACACA ( P < 0.0001), FASN ( P = 0.0688), ACLY ( P < 0.01). Only ECHS1 and HADH showed significant differences in both comparison sets.

    Article Snippet: After blocking, the sections were incubated with primary antibodies against ECHS1 (11305-1-AP, Proteintech, China, 1:100 dilution) and HADH (HA601203-50, HuaAn Biotechnology, China, 1:200 dilution) at 4 °C overnight.

    Techniques: Biomarker Discovery, Functional Assay, RNA Expression, Control, Comparison

    Validation of ECHS1 and HADH expression in human and mouse salivary glands. (A) Representative immunofluorescence images of ECHS1 and HADH in salivary glands of non-SS controls (40x). (B) Representative immunofluorescence images of ECHS1 and HADH in salivary glands of SS patients (40x). (C) PCR statistical results for ECHS1 in ICR-control vs. NOD mouse salivary glands ( n = 5 , P < 0.01). (D) PCR statistical results for HADH in ICR-control vs. NOD mouse salivary glands ( n = 5 , P < 0.01). (E) Statistical results of mean fluorescence intensity for ECHS1 in non-SS controls vs. SS patients ( n = 6 , P < 0.001). (F) Statistical results of mean fluorescence intensity for HADH in non-SS controls vs. SS patients ( n = 6 , P < 0.0001).

    Journal: Journal of Translational Autoimmunity

    Article Title: Downregulated ECHS1 and HADH-mediated fatty acid β-oxidation contributes to mitochondrial dysfunction in salivary glands of Sjögren's syndrome

    doi: 10.1016/j.jtauto.2026.100350

    Figure Lengend Snippet: Validation of ECHS1 and HADH expression in human and mouse salivary glands. (A) Representative immunofluorescence images of ECHS1 and HADH in salivary glands of non-SS controls (40x). (B) Representative immunofluorescence images of ECHS1 and HADH in salivary glands of SS patients (40x). (C) PCR statistical results for ECHS1 in ICR-control vs. NOD mouse salivary glands ( n = 5 , P < 0.01). (D) PCR statistical results for HADH in ICR-control vs. NOD mouse salivary glands ( n = 5 , P < 0.01). (E) Statistical results of mean fluorescence intensity for ECHS1 in non-SS controls vs. SS patients ( n = 6 , P < 0.001). (F) Statistical results of mean fluorescence intensity for HADH in non-SS controls vs. SS patients ( n = 6 , P < 0.0001).

    Article Snippet: After blocking, the sections were incubated with primary antibodies against ECHS1 (11305-1-AP, Proteintech, China, 1:100 dilution) and HADH (HA601203-50, HuaAn Biotechnology, China, 1:200 dilution) at 4 °C overnight.

    Techniques: Biomarker Discovery, Expressing, Immunofluorescence, Control, Fluorescence

    ALDOA expression in human BC tissues. ( A ) ALDOA expression in tumor and normal tissues in TIMER database. ( B – D ) ALDOA expression in BC tumor and normal tissues in bc‐GenExMiner v5.1 ( B ), UALCAN ( C ) and GEPIA ( D ) databases. ( E ) Representative IHC staining of ALDOA in human BC tissues and normal tissues. ( F ) Analysis of ALDOA IHC scores in human BC tissues and normal tissues. *** P < 0.001.

    Journal: OncoTargets and Therapy

    Article Title: The Expression and Clinical Significance of ALDOA in Breast Cancer

    doi: 10.2147/OTT.S518473

    Figure Lengend Snippet: ALDOA expression in human BC tissues. ( A ) ALDOA expression in tumor and normal tissues in TIMER database. ( B – D ) ALDOA expression in BC tumor and normal tissues in bc‐GenExMiner v5.1 ( B ), UALCAN ( C ) and GEPIA ( D ) databases. ( E ) Representative IHC staining of ALDOA in human BC tissues and normal tissues. ( F ) Analysis of ALDOA IHC scores in human BC tissues and normal tissues. *** P < 0.001.

    Article Snippet: Following defined procedures, the paraffin-embedded tissues were sectioned to a thickness of 5 μm, incubated at 4°C overnight with a monoclonal human ALDOA antibody (dilution 1:100; #11305-1-AP, Proteintech), stained using a staining kit (Zhongshan Biotechnology, Bei-jing, China), followed by visualization.

    Techniques: Expressing, Immunohistochemistry