Review



rabbit anti-human chga  (Agilent technologies)


Bioz Verified Symbol Agilent technologies is a verified supplier
Bioz Manufacturer Symbol Agilent technologies manufactures this product  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
    • 90
      Buy from Supplier

    Structured Review

    Agilent technologies rabbit anti-human chga
    Rabbit Anti Human Chga, supplied by Agilent technologies, 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/rabbit anti-human chga/product/Agilent technologies
    Average 90 stars, based on 1 article reviews
    rabbit anti-human chga - by Bioz Stars, 2026-02
    90/100 stars

    Images



    Similar Products

    chga monoclonal rabbit anti-human igg cm10c  (Biocare Medical)
    90
    Biocare Medical chga monoclonal rabbit anti-human igg cm10c
    Schematic flow chart of the present study for early diagnosis of colon adenocarcinoma. The starting materials were derived from the RNA seq data in the TCGA and GTEx databases. Differential expressed analysis (DEA) between the colon cancer patients and normal controls was conducted. The differential expressed (DE) genes were then mapped to the Human PPI network (from String) to construct a colon cancer-specific PPI network, and machine learning was used to predict new potential biomarkers based on the network features of the confirmed biomarkers from our CBD database. The diagnostic test (ROC test) of the predicted biomarkers were further verified in GEO microarray data. The candidate biomarker <t>(CHGA)</t> was finally confirmed by immunohistochemistry tissue microarrays.
    Chga Monoclonal Rabbit Anti Human Igg Cm10c, supplied by Biocare Medical, 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/chga monoclonal rabbit anti-human igg cm10c/product/Biocare Medical
    Average 90 stars, based on 1 article reviews
    chga monoclonal rabbit anti-human igg cm10c - by Bioz Stars, 2026-02
    90/100 stars
    		  Buy from Supplier
    chga monoclonal rabbit anti-human igg  (Biocare Medical)
    90
    Biocare Medical chga monoclonal rabbit anti-human igg
    Schematic flow chart of the present study for early diagnosis of colon adenocarcinoma. The starting materials were derived from the RNA seq data in the TCGA and GTEx databases. Differential expressed analysis (DEA) between the colon cancer patients and normal controls was conducted. The differential expressed (DE) genes were then mapped to the Human PPI network (from String) to construct a colon cancer-specific PPI network, and machine learning was used to predict new potential biomarkers based on the network features of the confirmed biomarkers from our CBD database. The diagnostic test (ROC test) of the predicted biomarkers were further verified in GEO microarray data. The candidate biomarker <t>(CHGA)</t> was finally confirmed by immunohistochemistry tissue microarrays.
    Chga Monoclonal Rabbit Anti Human Igg, supplied by Biocare Medical, 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/chga monoclonal rabbit anti-human igg/product/Biocare Medical
    Average 90 stars, based on 1 article reviews
    chga monoclonal rabbit anti-human igg - by Bioz Stars, 2026-02
    90/100 stars
    		  Buy from Supplier
    polyclonal rabbit anti-human chga  (Proteintech)
    90
    Proteintech polyclonal rabbit anti-human chga
    ( A ) The human MEN1 is located on chromosome 11q13, from base pair 64,803,514 to 64,811,294, and harbors ten exons. More than 1,000 inactivating and disease-associated mutations, detectable in all coding regions, have been reported. The sequence overviewing exon 2, without exon/intro boundaries, is shown. CRISPR target regions are marked as Men1.1, Men1.2 and Men1.3 with genomic location chr11(64,809,842), chr11(64,809,853) and chr11(64,809,732), respectively. ( B ) Cropped western blot image showing menin protein expression in MEN1-KO-BON1 and BON1 (duplicate experiments). ( C ) Representative (n = 3) cropped western blot images showing chromogranin A <t>(CHGA),</t> ectonucleotide pyrophosphatase/phosphodiesterase 1 (ENPP1), neurotensin (NTS), neuroendocrine regulatory peptide (VGF), sphingosine-1-phosphate lyase 1 (SGPL1) and phosphoserine aminotransferase (PSAT1) protein expression in MEN1-KO-BON1 and BON1. The full-length blots are presented in the Supplementary Figure . The relative protein expression levels were quantified as mean for three repeated experiments.
    Polyclonal Rabbit Anti Human Chga, supplied by Proteintech, 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/polyclonal rabbit anti-human chga/product/Proteintech
    Average 90 stars, based on 1 article reviews
    polyclonal rabbit anti-human chga - by Bioz Stars, 2026-02
    90/100 stars
    		  Buy from Supplier
    rabbit anti-human chga  (Agilent technologies)
    90
    Agilent technologies rabbit anti-human chga
    ( A ) The human MEN1 is located on chromosome 11q13, from base pair 64,803,514 to 64,811,294, and harbors ten exons. More than 1,000 inactivating and disease-associated mutations, detectable in all coding regions, have been reported. The sequence overviewing exon 2, without exon/intro boundaries, is shown. CRISPR target regions are marked as Men1.1, Men1.2 and Men1.3 with genomic location chr11(64,809,842), chr11(64,809,853) and chr11(64,809,732), respectively. ( B ) Cropped western blot image showing menin protein expression in MEN1-KO-BON1 and BON1 (duplicate experiments). ( C ) Representative (n = 3) cropped western blot images showing chromogranin A <t>(CHGA),</t> ectonucleotide pyrophosphatase/phosphodiesterase 1 (ENPP1), neurotensin (NTS), neuroendocrine regulatory peptide (VGF), sphingosine-1-phosphate lyase 1 (SGPL1) and phosphoserine aminotransferase (PSAT1) protein expression in MEN1-KO-BON1 and BON1. The full-length blots are presented in the Supplementary Figure . The relative protein expression levels were quantified as mean for three repeated experiments.
    Rabbit Anti Human Chga, supplied by Agilent technologies, 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/rabbit anti-human chga/product/Agilent technologies
    Average 90 stars, based on 1 article reviews
    rabbit anti-human chga - by Bioz Stars, 2026-02
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Schematic flow chart of the present study for early diagnosis of colon adenocarcinoma. The starting materials were derived from the RNA seq data in the TCGA and GTEx databases. Differential expressed analysis (DEA) between the colon cancer patients and normal controls was conducted. The differential expressed (DE) genes were then mapped to the Human PPI network (from String) to construct a colon cancer-specific PPI network, and machine learning was used to predict new potential biomarkers based on the network features of the confirmed biomarkers from our CBD database. The diagnostic test (ROC test) of the predicted biomarkers were further verified in GEO microarray data. The candidate biomarker (CHGA) was finally confirmed by immunohistochemistry tissue microarrays.

    Journal: Cancers

    Article Title: Loss of CHGA Protein as a Potential Biomarker for Colon Cancer Diagnosis: A Study on Biomarker Discovery by Machine Learning and Confirmation by Immunohistochemistry in Colorectal Cancer Tissue Microarrays

    doi: 10.3390/cancers14112664

    Figure Lengend Snippet: Schematic flow chart of the present study for early diagnosis of colon adenocarcinoma. The starting materials were derived from the RNA seq data in the TCGA and GTEx databases. Differential expressed analysis (DEA) between the colon cancer patients and normal controls was conducted. The differential expressed (DE) genes were then mapped to the Human PPI network (from String) to construct a colon cancer-specific PPI network, and machine learning was used to predict new potential biomarkers based on the network features of the confirmed biomarkers from our CBD database. The diagnostic test (ROC test) of the predicted biomarkers were further verified in GEO microarray data. The candidate biomarker (CHGA) was finally confirmed by immunohistochemistry tissue microarrays.

    Article Snippet: Then, after blocking the activity of endogenous peroxidase, the sections were incubated with the CHGA monoclonal rabbit anti-human IgG (CM10C, BIOCARE MEDICAL) in a 1:100 dilution with antibody dilution buffer overnight.

    Techniques: Biomarker Discovery, Derivative Assay, RNA Sequencing, Construct, Diagnostic Assay, Microarray, Immunohistochemistry

    PPI network and biological function analysis of the predicted biomarkers. ( A ) PPI relationships and enriched pathways (table) for the 12 predicted biomarkers. A total of seven predicted biomarkers related to each other. In addition, nine predicted biomarkers were mapped on the response to stress pathway. The candidate biomarkers that had a strong relationship were mapped in the same pathway. ( B ) PPI network for predicted and confirmed biomarkers. The color of lines represented the confidence of connected evidence: the closer to red, the higher evidence. Generally, the predicted and confirmed biomarkers had strong relationships with each other; specifically, not as the other ten predicted, which are connected closely, CHGA and SDC2 were separated from them and were hubs in their belonged small networks. ( C ) KEGG pathway enrichment analysis results for predicted and confirmed biomarkers. Big circles represent enriched pathways, and small circles/diamonds represent confirmed/predicted biomarkers. Pathways and biomarkers were connected if the biomarkers were mapped on the pathways. There were some overlapping pathways among the confirmed and predicted biomarkers, and five of them were mapped on the Dopaminergic synapse pathway. ( D ) Dopaminergic synapse pathway. ( E ) Diagnostic ROC curve for multiple biomarkers combined by the 12 predicted biomarkers, which showed an AUC of 0.964.

    Journal: Cancers

    Article Title: Loss of CHGA Protein as a Potential Biomarker for Colon Cancer Diagnosis: A Study on Biomarker Discovery by Machine Learning and Confirmation by Immunohistochemistry in Colorectal Cancer Tissue Microarrays

    doi: 10.3390/cancers14112664

    Figure Lengend Snippet: PPI network and biological function analysis of the predicted biomarkers. ( A ) PPI relationships and enriched pathways (table) for the 12 predicted biomarkers. A total of seven predicted biomarkers related to each other. In addition, nine predicted biomarkers were mapped on the response to stress pathway. The candidate biomarkers that had a strong relationship were mapped in the same pathway. ( B ) PPI network for predicted and confirmed biomarkers. The color of lines represented the confidence of connected evidence: the closer to red, the higher evidence. Generally, the predicted and confirmed biomarkers had strong relationships with each other; specifically, not as the other ten predicted, which are connected closely, CHGA and SDC2 were separated from them and were hubs in their belonged small networks. ( C ) KEGG pathway enrichment analysis results for predicted and confirmed biomarkers. Big circles represent enriched pathways, and small circles/diamonds represent confirmed/predicted biomarkers. Pathways and biomarkers were connected if the biomarkers were mapped on the pathways. There were some overlapping pathways among the confirmed and predicted biomarkers, and five of them were mapped on the Dopaminergic synapse pathway. ( D ) Dopaminergic synapse pathway. ( E ) Diagnostic ROC curve for multiple biomarkers combined by the 12 predicted biomarkers, which showed an AUC of 0.964.

    Article Snippet: Then, after blocking the activity of endogenous peroxidase, the sections were incubated with the CHGA monoclonal rabbit anti-human IgG (CM10C, BIOCARE MEDICAL) in a 1:100 dilution with antibody dilution buffer overnight.

    Techniques: Diagnostic Assay

    Protein expression of CHGA in normal mucosa, normal adjacent mucosa, and tumor from the same patient with colon cancer. The CHGA protein was positively expressed in the normal, and adjacent mucosa (the brown colour) and absolutely lost the CHGA expression in the tumor regardless of well-, moderately-, or poorly-differentiated cancers. Magnifications 10× and 40×.

    Journal: Cancers

    Article Title: Loss of CHGA Protein as a Potential Biomarker for Colon Cancer Diagnosis: A Study on Biomarker Discovery by Machine Learning and Confirmation by Immunohistochemistry in Colorectal Cancer Tissue Microarrays

    doi: 10.3390/cancers14112664

    Figure Lengend Snippet: Protein expression of CHGA in normal mucosa, normal adjacent mucosa, and tumor from the same patient with colon cancer. The CHGA protein was positively expressed in the normal, and adjacent mucosa (the brown colour) and absolutely lost the CHGA expression in the tumor regardless of well-, moderately-, or poorly-differentiated cancers. Magnifications 10× and 40×.

    Article Snippet: Then, after blocking the activity of endogenous peroxidase, the sections were incubated with the CHGA monoclonal rabbit anti-human IgG (CM10C, BIOCARE MEDICAL) in a 1:100 dilution with antibody dilution buffer overnight.

    Techniques: Expressing

    CHGA expression distribution of colon cancer ( A ), rectal cancer ( D ) and CRC ( G ) compared with normal controls. CHGA had a significant difference in cancers with normal controls. Diagnostic ROC test for CHGA in colon cancer ( B ), rectal cancer ( E ), and CRC ( H ). With AUCs of 0.995, GHGA showed a high potential of being a good diagnostic biomarker in CRC. Survival curves of CHGA in colon cancer patients ( C ), rectal cancer patients ( F ), and CRC patients ( I ). CHGA performed poorly in the prognosis of CRC ( p value = 0.24, 0.38, and 0.13, respectively).

    Journal: Cancers

    Article Title: Loss of CHGA Protein as a Potential Biomarker for Colon Cancer Diagnosis: A Study on Biomarker Discovery by Machine Learning and Confirmation by Immunohistochemistry in Colorectal Cancer Tissue Microarrays

    doi: 10.3390/cancers14112664

    Figure Lengend Snippet: CHGA expression distribution of colon cancer ( A ), rectal cancer ( D ) and CRC ( G ) compared with normal controls. CHGA had a significant difference in cancers with normal controls. Diagnostic ROC test for CHGA in colon cancer ( B ), rectal cancer ( E ), and CRC ( H ). With AUCs of 0.995, GHGA showed a high potential of being a good diagnostic biomarker in CRC. Survival curves of CHGA in colon cancer patients ( C ), rectal cancer patients ( F ), and CRC patients ( I ). CHGA performed poorly in the prognosis of CRC ( p value = 0.24, 0.38, and 0.13, respectively).

    Article Snippet: Then, after blocking the activity of endogenous peroxidase, the sections were incubated with the CHGA monoclonal rabbit anti-human IgG (CM10C, BIOCARE MEDICAL) in a 1:100 dilution with antibody dilution buffer overnight.

    Techniques: Expressing, Diagnostic Assay, Biomarker Discovery

    ( A ) The human MEN1 is located on chromosome 11q13, from base pair 64,803,514 to 64,811,294, and harbors ten exons. More than 1,000 inactivating and disease-associated mutations, detectable in all coding regions, have been reported. The sequence overviewing exon 2, without exon/intro boundaries, is shown. CRISPR target regions are marked as Men1.1, Men1.2 and Men1.3 with genomic location chr11(64,809,842), chr11(64,809,853) and chr11(64,809,732), respectively. ( B ) Cropped western blot image showing menin protein expression in MEN1-KO-BON1 and BON1 (duplicate experiments). ( C ) Representative (n = 3) cropped western blot images showing chromogranin A (CHGA), ectonucleotide pyrophosphatase/phosphodiesterase 1 (ENPP1), neurotensin (NTS), neuroendocrine regulatory peptide (VGF), sphingosine-1-phosphate lyase 1 (SGPL1) and phosphoserine aminotransferase (PSAT1) protein expression in MEN1-KO-BON1 and BON1. The full-length blots are presented in the Supplementary Figure . The relative protein expression levels were quantified as mean for three repeated experiments.

    Journal: Scientific Reports

    Article Title: Generation and characterization of CRISPR/Cas9-mediated MEN1 knockout BON1 cells: a human pancreatic neuroendocrine cell line

    doi: 10.1038/s41598-020-71516-7

    Figure Lengend Snippet: ( A ) The human MEN1 is located on chromosome 11q13, from base pair 64,803,514 to 64,811,294, and harbors ten exons. More than 1,000 inactivating and disease-associated mutations, detectable in all coding regions, have been reported. The sequence overviewing exon 2, without exon/intro boundaries, is shown. CRISPR target regions are marked as Men1.1, Men1.2 and Men1.3 with genomic location chr11(64,809,842), chr11(64,809,853) and chr11(64,809,732), respectively. ( B ) Cropped western blot image showing menin protein expression in MEN1-KO-BON1 and BON1 (duplicate experiments). ( C ) Representative (n = 3) cropped western blot images showing chromogranin A (CHGA), ectonucleotide pyrophosphatase/phosphodiesterase 1 (ENPP1), neurotensin (NTS), neuroendocrine regulatory peptide (VGF), sphingosine-1-phosphate lyase 1 (SGPL1) and phosphoserine aminotransferase (PSAT1) protein expression in MEN1-KO-BON1 and BON1. The full-length blots are presented in the Supplementary Figure . The relative protein expression levels were quantified as mean for three repeated experiments.

    Article Snippet: Monoclonal mouse anti-human β-actin, ENPP1, NTS and VGF Santa Cruz Biotechnology, Santa Cruz, CA, USA), polyclonal rabbit anti-human CHGA (Proteintech, Rosemont, Illinois), MEN1(Cell Signaling Technology, Danvers, Massachusetts, USA) and PSAT1 (Bio-Techne, Minneapolis, Minnesota, USA), HRP donkey anti-goat (Santa Cruz Biotechnology) and HRP anti-mouse and anti-rabbit antibodies (GE Healthcare) were used to detect target proteins.

    Techniques: Sequencing, CRISPR, Western Blot, Expressing