anti idh1wt  (Cell Signaling Technology Inc)


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    Cell Signaling Technology Inc anti idh1wt
    Anti Idh1wt, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    anti idh1wt  (Cell Signaling Technology Inc)


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    Cell Signaling Technology Inc anti idh1wt
    Anti Idh1wt, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    anti idh1wt  (Cell Signaling Technology Inc)


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    Cell Signaling Technology Inc anti idh1wt
    Anti Idh1wt, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    rabbit igg anti idh1  (Cell Signaling Technology Inc)


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    Cell Signaling Technology Inc rabbit igg anti idh1
    <t>IDH1</t> catalyzes the conversion of isocitrate to αKG.
    Rabbit Igg Anti Idh1, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/rabbit igg anti idh1/product/Cell Signaling Technology Inc
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    1) Product Images from "A high-throughput SAMDI-mass spectrometry assay for isocitrate dehydrogenase 1"

    Article Title: A high-throughput SAMDI-mass spectrometry assay for isocitrate dehydrogenase 1

    Journal: The Analyst

    doi: 10.1039/d0an00174k

    IDH1 catalyzes the conversion of isocitrate to αKG.
    Figure Legend Snippet: IDH1 catalyzes the conversion of isocitrate to αKG.

    Techniques Used:

    (a) Scheme for the preparation and analysis of recombinant IDH1 samples. (b) αKG concentrations measured in the 384-sample biochemical screen (7 samples did not produce either 12C or 13C αKG capture).
    Figure Legend Snippet: (a) Scheme for the preparation and analysis of recombinant IDH1 samples. (b) αKG concentrations measured in the 384-sample biochemical screen (7 samples did not produce either 12C or 13C αKG capture).

    Techniques Used: Recombinant

    IDH1 expression level as determined with western blot and αKG concentration as measured with SAMDI-MS for untreated cells and cells treated with transfection agent, control sequence siRNA and IDH1-targeting siRNA. All data are expressed as mean ± standard deviation with n = 2 experimental replicates.
    Figure Legend Snippet: IDH1 expression level as determined with western blot and αKG concentration as measured with SAMDI-MS for untreated cells and cells treated with transfection agent, control sequence siRNA and IDH1-targeting siRNA. All data are expressed as mean ± standard deviation with n = 2 experimental replicates.

    Techniques Used: Expressing, Western Blot, Concentration Assay, Transfection, Sequencing, Standard Deviation

    rabbit igg anti idh1  (Cell Signaling Technology Inc)


    Bioz Verified Symbol Cell Signaling Technology Inc is a verified supplier
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    Cell Signaling Technology Inc rabbit igg anti idh1
    <t>IDH1</t> catalyzes the conversion of isocitrate to αKG.
    Rabbit Igg Anti Idh1, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/rabbit igg anti idh1/product/Cell Signaling Technology Inc
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    Price from $9.99 to $1999.99
    rabbit igg anti idh1 - by Bioz Stars, 2023-09
    92/100 stars

    Images

    1) Product Images from "A high-throughput SAMDI-mass spectrometry assay for isocitrate dehydrogenase 1 "

    Article Title: A high-throughput SAMDI-mass spectrometry assay for isocitrate dehydrogenase 1

    Journal: The Analyst

    doi: 10.1039/d0an00174k

    IDH1 catalyzes the conversion of isocitrate to αKG.
    Figure Legend Snippet: IDH1 catalyzes the conversion of isocitrate to αKG.

    Techniques Used:

    (a) Scheme for the preparation and analysis of recombinant IDH1 samples. (b) αKG concentrations measured in the 384-sample biochemical screen (7 samples did not produce either 12C or 13C αKG capture).
    Figure Legend Snippet: (a) Scheme for the preparation and analysis of recombinant IDH1 samples. (b) αKG concentrations measured in the 384-sample biochemical screen (7 samples did not produce either 12C or 13C αKG capture).

    Techniques Used: Recombinant

    IDH1 expression level as determined with western blot and αKG concentration as measured with SAMDI-MS for untreated cells and cells treated with transfection agent, control sequence siRNA and IDH1-targeting siRNA. All data are expressed as mean ± standard deviation with n = 2 experimental replicates.
    Figure Legend Snippet: IDH1 expression level as determined with western blot and αKG concentration as measured with SAMDI-MS for untreated cells and cells treated with transfection agent, control sequence siRNA and IDH1-targeting siRNA. All data are expressed as mean ± standard deviation with n = 2 experimental replicates.

    Techniques Used: Expressing, Western Blot, Concentration Assay, Transfection, Sequencing, Standard Deviation

    rabbit igg anti idh1  (Cell Signaling Technology Inc)


    Bioz Verified Symbol Cell Signaling Technology Inc is a verified supplier
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    Cell Signaling Technology Inc rabbit igg anti idh1
    Rabbit Igg Anti Idh1, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/rabbit igg anti idh1/product/Cell Signaling Technology Inc
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    rabbit igg anti idh1 - by Bioz Stars, 2023-09
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    rabbit igg anti idh1  (Cell Signaling Technology Inc)


    Bioz Verified Symbol Cell Signaling Technology Inc is a verified supplier
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    Cell Signaling Technology Inc rabbit igg anti idh1
    Rabbit Igg Anti Idh1, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/rabbit igg anti idh1/product/Cell Signaling Technology Inc
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    anti idh1  (Cell Signaling Technology Inc)


    Bioz Verified Symbol Cell Signaling Technology Inc is a verified supplier
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  • 92

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    Cell Signaling Technology Inc anti idh1

    Anti Idh1, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/anti idh1/product/Cell Signaling Technology Inc
    Average 92 stars, based on 1 article reviews
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    Images

    1) Product Images from "Polyamines and eIF5A Hypusination Modulate Mitochondrial Respiration and Macrophage Activation"

    Article Title: Polyamines and eIF5A Hypusination Modulate Mitochondrial Respiration and Macrophage Activation

    Journal: Cell Metabolism

    doi: 10.1016/j.cmet.2019.05.003


    Figure Legend Snippet:

    Techniques Used: Recombinant, Enzyme-linked Immunosorbent Assay, Construct, Plasmid Preparation, Sequencing, Clone Assay, Software

    phycoerythrin pe conjugated anti idh1  (Cell Signaling Technology Inc)


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    Cell Signaling Technology Inc phycoerythrin pe conjugated anti idh1
    Proteome-transcriptome correlation in human hematopoietic stem and progenitor cell subpopulations. ( A ) Nonsupervised hierarchical clustering (Euclidean distance) heatmap of the intensity for the transcripts identified in HSCs/MPPs (referred to as HSCs), CMPs, GMPs, and MEPs (shades of red) isolated from five different HSPC donors (shades of blue). The transcript intensities are centered and scaled and depicted in color shades from red to blue. The transcripts with missing transcript intensity values in all samples were removed because they could not be handled by the clustering algorithm. Remaining missing transcript intensity values are shown in white. Clustering was observed mostly according to cell type, not according to donor. ( B ) GO enrichment analysis showed good alignment of protein and mRNA data. GSEA was performed for ranked mRNA and protein lists using GO processes from the Gene Ontology Consortium database as gene sets. Shown are normalized enrichment scores for the individual gene sets. Significantly up-regulated gene sets are marked in blue color; significantly downregulated gene sets are marked in red color. Significance was defined as FDR < 0.25, specific cell subpopulations were compared with the average of the remaining three cell types, and log2(fold change) was used as ranking criterion. Empty fields mean that no enrichment could be calculated. Abbreviations: MEGA, megakaryocyte; MAPK, mitogen-activated protein kinase; PI3K, phosphoinositide-3-kinase; PLC, phospholipase C. ( C ) Correlation between proteomics and transcriptomics data for HSCs/MPPs (referred to as HSCs), CMPs, GMPs, and MEPs. Dots are depicted in red when the FDR was below 0.01 both for protein and RNA data, orange when FDR < 0.01 for protein data, purple when FDR < 0.01 for RNA data, and gray when FDR ≥ 0.01 for both protein and RNA data. ( D ) Network analysis of significantly up-regulated proteins with concomitant significantly downregulated mRNA in HSCs/MPPs. Two clusters were especially prominent, including the snoRNPs and telomerase complex proteins GAR1, DKC1, NOP10, NHP2, and the quiescence-inducing NAD(P)H-producing proteins <t>IDH1,</t> IDH3A, and IDH3B. HSCs/MPPs were compared with the average of the other three subpopulations; cutoffs were set at FDR < 0.01 for protein and RNA data. Colors depict GO terms found enriched in B .
    Phycoerythrin Pe Conjugated Anti Idh1, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/phycoerythrin pe conjugated anti idh1/product/Cell Signaling Technology Inc
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    Images

    1) Product Images from "Sensitive Quantitative Proteomics of Human Hematopoietic Stem and Progenitor Cells by Data-independent Acquisition Mass Spectrometry"

    Article Title: Sensitive Quantitative Proteomics of Human Hematopoietic Stem and Progenitor Cells by Data-independent Acquisition Mass Spectrometry

    Journal: Molecular & Cellular Proteomics : MCP

    doi: 10.1074/mcp.TIR119.001431

    Proteome-transcriptome correlation in human hematopoietic stem and progenitor cell subpopulations. ( A ) Nonsupervised hierarchical clustering (Euclidean distance) heatmap of the intensity for the transcripts identified in HSCs/MPPs (referred to as HSCs), CMPs, GMPs, and MEPs (shades of red) isolated from five different HSPC donors (shades of blue). The transcript intensities are centered and scaled and depicted in color shades from red to blue. The transcripts with missing transcript intensity values in all samples were removed because they could not be handled by the clustering algorithm. Remaining missing transcript intensity values are shown in white. Clustering was observed mostly according to cell type, not according to donor. ( B ) GO enrichment analysis showed good alignment of protein and mRNA data. GSEA was performed for ranked mRNA and protein lists using GO processes from the Gene Ontology Consortium database as gene sets. Shown are normalized enrichment scores for the individual gene sets. Significantly up-regulated gene sets are marked in blue color; significantly downregulated gene sets are marked in red color. Significance was defined as FDR < 0.25, specific cell subpopulations were compared with the average of the remaining three cell types, and log2(fold change) was used as ranking criterion. Empty fields mean that no enrichment could be calculated. Abbreviations: MEGA, megakaryocyte; MAPK, mitogen-activated protein kinase; PI3K, phosphoinositide-3-kinase; PLC, phospholipase C. ( C ) Correlation between proteomics and transcriptomics data for HSCs/MPPs (referred to as HSCs), CMPs, GMPs, and MEPs. Dots are depicted in red when the FDR was below 0.01 both for protein and RNA data, orange when FDR < 0.01 for protein data, purple when FDR < 0.01 for RNA data, and gray when FDR ≥ 0.01 for both protein and RNA data. ( D ) Network analysis of significantly up-regulated proteins with concomitant significantly downregulated mRNA in HSCs/MPPs. Two clusters were especially prominent, including the snoRNPs and telomerase complex proteins GAR1, DKC1, NOP10, NHP2, and the quiescence-inducing NAD(P)H-producing proteins IDH1, IDH3A, and IDH3B. HSCs/MPPs were compared with the average of the other three subpopulations; cutoffs were set at FDR < 0.01 for protein and RNA data. Colors depict GO terms found enriched in B .
    Figure Legend Snippet: Proteome-transcriptome correlation in human hematopoietic stem and progenitor cell subpopulations. ( A ) Nonsupervised hierarchical clustering (Euclidean distance) heatmap of the intensity for the transcripts identified in HSCs/MPPs (referred to as HSCs), CMPs, GMPs, and MEPs (shades of red) isolated from five different HSPC donors (shades of blue). The transcript intensities are centered and scaled and depicted in color shades from red to blue. The transcripts with missing transcript intensity values in all samples were removed because they could not be handled by the clustering algorithm. Remaining missing transcript intensity values are shown in white. Clustering was observed mostly according to cell type, not according to donor. ( B ) GO enrichment analysis showed good alignment of protein and mRNA data. GSEA was performed for ranked mRNA and protein lists using GO processes from the Gene Ontology Consortium database as gene sets. Shown are normalized enrichment scores for the individual gene sets. Significantly up-regulated gene sets are marked in blue color; significantly downregulated gene sets are marked in red color. Significance was defined as FDR < 0.25, specific cell subpopulations were compared with the average of the remaining three cell types, and log2(fold change) was used as ranking criterion. Empty fields mean that no enrichment could be calculated. Abbreviations: MEGA, megakaryocyte; MAPK, mitogen-activated protein kinase; PI3K, phosphoinositide-3-kinase; PLC, phospholipase C. ( C ) Correlation between proteomics and transcriptomics data for HSCs/MPPs (referred to as HSCs), CMPs, GMPs, and MEPs. Dots are depicted in red when the FDR was below 0.01 both for protein and RNA data, orange when FDR < 0.01 for protein data, purple when FDR < 0.01 for RNA data, and gray when FDR ≥ 0.01 for both protein and RNA data. ( D ) Network analysis of significantly up-regulated proteins with concomitant significantly downregulated mRNA in HSCs/MPPs. Two clusters were especially prominent, including the snoRNPs and telomerase complex proteins GAR1, DKC1, NOP10, NHP2, and the quiescence-inducing NAD(P)H-producing proteins IDH1, IDH3A, and IDH3B. HSCs/MPPs were compared with the average of the other three subpopulations; cutoffs were set at FDR < 0.01 for protein and RNA data. Colors depict GO terms found enriched in B .

    Techniques Used: Isolation

    d2h1  (Cell Signaling Technology Inc)


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    Cell Signaling Technology Inc d2h1
    D2h1, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    idh1 d2h1 antibodies  (Cell Signaling Technology Inc)


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    Cell Signaling Technology Inc idh1 d2h1 antibodies
    Marker expression in microvesicles obtained from GBM8. (A) Images of MV-like vesicles labeled for generic EV markers (CD81, TSG101, CD63, Alix, integrin beta 1, CD9, CD40, Arf6, VAMP-3) and glioblastoma markers (EGFR, EGFRvIII, EpCAM, <t>IDH1-R132H)</t> were quantified per single vesicle. Heat map of data is organized by high expression to low expression. Note the heterogeneity profile of each individual MV-like vesicle. (B) Waterfall plot displaying the percent of the total MV-like vesicles that are positive for a given marker. IDH1-R132H was not detected in any of the vesicles.
    Idh1 D2h1 Antibodies, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/idh1 d2h1 antibodies/product/Cell Signaling Technology Inc
    Average 92 stars, based on 1 article reviews
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    Images

    1) Product Images from "Characterization of single microvesicles in plasma from glioblastoma patients"

    Article Title: Characterization of single microvesicles in plasma from glioblastoma patients

    Journal: Neuro-Oncology

    doi: 10.1093/neuonc/noy187

    Marker expression in microvesicles obtained from GBM8. (A) Images of MV-like vesicles labeled for generic EV markers (CD81, TSG101, CD63, Alix, integrin beta 1, CD9, CD40, Arf6, VAMP-3) and glioblastoma markers (EGFR, EGFRvIII, EpCAM, IDH1-R132H) were quantified per single vesicle. Heat map of data is organized by high expression to low expression. Note the heterogeneity profile of each individual MV-like vesicle. (B) Waterfall plot displaying the percent of the total MV-like vesicles that are positive for a given marker. IDH1-R132H was not detected in any of the vesicles.
    Figure Legend Snippet: Marker expression in microvesicles obtained from GBM8. (A) Images of MV-like vesicles labeled for generic EV markers (CD81, TSG101, CD63, Alix, integrin beta 1, CD9, CD40, Arf6, VAMP-3) and glioblastoma markers (EGFR, EGFRvIII, EpCAM, IDH1-R132H) were quantified per single vesicle. Heat map of data is organized by high expression to low expression. Note the heterogeneity profile of each individual MV-like vesicle. (B) Waterfall plot displaying the percent of the total MV-like vesicles that are positive for a given marker. IDH1-R132H was not detected in any of the vesicles.

    Techniques Used: Marker, Expressing, Labeling

    Summary of marker expression in MV-like fractions obtained from different specimens
    Figure Legend Snippet: Summary of marker expression in MV-like fractions obtained from different specimens

    Techniques Used: Marker, Expressing

    Global marker expression in human GB plasma samples. (A) Total MV-like vesicle numbers in the plasma from each patient were determined via nanoparticle tracking analysis (NTA). (B) The amount of TMV was determined by first accounting for host cell MV (using a cocktail of CD31, CD41, CD42β, CD45, and CD235a) then staining remaining vesicles for tumor markers (EGFR, EGFRvIII, EpCAM, and IDH1-R132H). TMV were present and detectable in all GB patients analyzed. (C) The relative contribution of TMV to the total MV-like vesicle pool was variable among GB patients. (D) The heterogeneity of EGFR, EGFRvIII, and EpCAM expression (IDH1-R132H was not detected in any of the EV observed) among the subpopulation of TMV for each patient was assessed.
    Figure Legend Snippet: Global marker expression in human GB plasma samples. (A) Total MV-like vesicle numbers in the plasma from each patient were determined via nanoparticle tracking analysis (NTA). (B) The amount of TMV was determined by first accounting for host cell MV (using a cocktail of CD31, CD41, CD42β, CD45, and CD235a) then staining remaining vesicles for tumor markers (EGFR, EGFRvIII, EpCAM, and IDH1-R132H). TMV were present and detectable in all GB patients analyzed. (C) The relative contribution of TMV to the total MV-like vesicle pool was variable among GB patients. (D) The heterogeneity of EGFR, EGFRvIII, and EpCAM expression (IDH1-R132H was not detected in any of the EV observed) among the subpopulation of TMV for each patient was assessed.

    Techniques Used: Marker, Expressing, Staining

    Patient demographics and clinical characteristics
    Figure Legend Snippet: Patient demographics and clinical characteristics

    Techniques Used:

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    Cell Signaling Technology Inc anti idh1wt
    Anti Idh1wt, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Proteome-transcriptome correlation in human hematopoietic stem and progenitor cell subpopulations. ( A ) Nonsupervised hierarchical clustering (Euclidean distance) heatmap of the intensity for the transcripts identified in HSCs/MPPs (referred to as HSCs), CMPs, GMPs, and MEPs (shades of red) isolated from five different HSPC donors (shades of blue). The transcript intensities are centered and scaled and depicted in color shades from red to blue. The transcripts with missing transcript intensity values in all samples were removed because they could not be handled by the clustering algorithm. Remaining missing transcript intensity values are shown in white. Clustering was observed mostly according to cell type, not according to donor. ( B ) GO enrichment analysis showed good alignment of protein and mRNA data. GSEA was performed for ranked mRNA and protein lists using GO processes from the Gene Ontology Consortium database as gene sets. Shown are normalized enrichment scores for the individual gene sets. Significantly up-regulated gene sets are marked in blue color; significantly downregulated gene sets are marked in red color. Significance was defined as FDR < 0.25, specific cell subpopulations were compared with the average of the remaining three cell types, and log2(fold change) was used as ranking criterion. Empty fields mean that no enrichment could be calculated. Abbreviations: MEGA, megakaryocyte; MAPK, mitogen-activated protein kinase; PI3K, phosphoinositide-3-kinase; PLC, phospholipase C. ( C ) Correlation between proteomics and transcriptomics data for HSCs/MPPs (referred to as HSCs), CMPs, GMPs, and MEPs. Dots are depicted in red when the FDR was below 0.01 both for protein and RNA data, orange when FDR < 0.01 for protein data, purple when FDR < 0.01 for RNA data, and gray when FDR ≥ 0.01 for both protein and RNA data. ( D ) Network analysis of significantly up-regulated proteins with concomitant significantly downregulated mRNA in HSCs/MPPs. Two clusters were especially prominent, including the snoRNPs and telomerase complex proteins GAR1, DKC1, NOP10, NHP2, and the quiescence-inducing NAD(P)H-producing proteins <t>IDH1,</t> IDH3A, and IDH3B. HSCs/MPPs were compared with the average of the other three subpopulations; cutoffs were set at FDR < 0.01 for protein and RNA data. Colors depict GO terms found enriched in B .
    Phycoerythrin Pe Conjugated Anti Idh1, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Cell Signaling Technology Inc d2h1
    Proteome-transcriptome correlation in human hematopoietic stem and progenitor cell subpopulations. ( A ) Nonsupervised hierarchical clustering (Euclidean distance) heatmap of the intensity for the transcripts identified in HSCs/MPPs (referred to as HSCs), CMPs, GMPs, and MEPs (shades of red) isolated from five different HSPC donors (shades of blue). The transcript intensities are centered and scaled and depicted in color shades from red to blue. The transcripts with missing transcript intensity values in all samples were removed because they could not be handled by the clustering algorithm. Remaining missing transcript intensity values are shown in white. Clustering was observed mostly according to cell type, not according to donor. ( B ) GO enrichment analysis showed good alignment of protein and mRNA data. GSEA was performed for ranked mRNA and protein lists using GO processes from the Gene Ontology Consortium database as gene sets. Shown are normalized enrichment scores for the individual gene sets. Significantly up-regulated gene sets are marked in blue color; significantly downregulated gene sets are marked in red color. Significance was defined as FDR < 0.25, specific cell subpopulations were compared with the average of the remaining three cell types, and log2(fold change) was used as ranking criterion. Empty fields mean that no enrichment could be calculated. Abbreviations: MEGA, megakaryocyte; MAPK, mitogen-activated protein kinase; PI3K, phosphoinositide-3-kinase; PLC, phospholipase C. ( C ) Correlation between proteomics and transcriptomics data for HSCs/MPPs (referred to as HSCs), CMPs, GMPs, and MEPs. Dots are depicted in red when the FDR was below 0.01 both for protein and RNA data, orange when FDR < 0.01 for protein data, purple when FDR < 0.01 for RNA data, and gray when FDR ≥ 0.01 for both protein and RNA data. ( D ) Network analysis of significantly up-regulated proteins with concomitant significantly downregulated mRNA in HSCs/MPPs. Two clusters were especially prominent, including the snoRNPs and telomerase complex proteins GAR1, DKC1, NOP10, NHP2, and the quiescence-inducing NAD(P)H-producing proteins <t>IDH1,</t> IDH3A, and IDH3B. HSCs/MPPs were compared with the average of the other three subpopulations; cutoffs were set at FDR < 0.01 for protein and RNA data. Colors depict GO terms found enriched in B .
    D2h1, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/d2h1/product/Cell Signaling Technology Inc
    Average 92 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    d2h1 - by Bioz Stars, 2023-09
    92/100 stars
      Buy from Supplier

    92
    Cell Signaling Technology Inc idh1 d2h1 antibodies
    Marker expression in microvesicles obtained from GBM8. (A) Images of MV-like vesicles labeled for generic EV markers (CD81, TSG101, CD63, Alix, integrin beta 1, CD9, CD40, Arf6, VAMP-3) and glioblastoma markers (EGFR, EGFRvIII, EpCAM, <t>IDH1-R132H)</t> were quantified per single vesicle. Heat map of data is organized by high expression to low expression. Note the heterogeneity profile of each individual MV-like vesicle. (B) Waterfall plot displaying the percent of the total MV-like vesicles that are positive for a given marker. IDH1-R132H was not detected in any of the vesicles.
    Idh1 D2h1 Antibodies, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/idh1 d2h1 antibodies/product/Cell Signaling Technology Inc
    Average 92 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    idh1 d2h1 antibodies - by Bioz Stars, 2023-09
    92/100 stars
      Buy from Supplier

    Image Search Results


    IDH1 catalyzes the conversion of isocitrate to αKG.

    Journal: The Analyst

    Article Title: A high-throughput SAMDI-mass spectrometry assay for isocitrate dehydrogenase 1

    doi: 10.1039/d0an00174k

    Figure Lengend Snippet: IDH1 catalyzes the conversion of isocitrate to αKG.

    Article Snippet: The membrane was then blocked using Odyssey® TBS blocking buffer (LI-COR, Lincoln, NE) at room temperature for 1 hour and incubated overnight with rabbit IgG anti-IDH1 (Cell Signaling Technology, Danvers, MA) at a 1 : 1000 dilution and mouse IgG1 anti-HSP70 (BD Biosciences, Franklin Lanes, NJ) at a 1 : 2000 dilution at 4 °C.

    Techniques:

    (a) Scheme for the preparation and analysis of recombinant IDH1 samples. (b) αKG concentrations measured in the 384-sample biochemical screen (7 samples did not produce either 12C or 13C αKG capture).

    Journal: The Analyst

    Article Title: A high-throughput SAMDI-mass spectrometry assay for isocitrate dehydrogenase 1

    doi: 10.1039/d0an00174k

    Figure Lengend Snippet: (a) Scheme for the preparation and analysis of recombinant IDH1 samples. (b) αKG concentrations measured in the 384-sample biochemical screen (7 samples did not produce either 12C or 13C αKG capture).

    Article Snippet: The membrane was then blocked using Odyssey® TBS blocking buffer (LI-COR, Lincoln, NE) at room temperature for 1 hour and incubated overnight with rabbit IgG anti-IDH1 (Cell Signaling Technology, Danvers, MA) at a 1 : 1000 dilution and mouse IgG1 anti-HSP70 (BD Biosciences, Franklin Lanes, NJ) at a 1 : 2000 dilution at 4 °C.

    Techniques: Recombinant

    IDH1 expression level as determined with western blot and αKG concentration as measured with SAMDI-MS for untreated cells and cells treated with transfection agent, control sequence siRNA and IDH1-targeting siRNA. All data are expressed as mean ± standard deviation with n = 2 experimental replicates.

    Journal: The Analyst

    Article Title: A high-throughput SAMDI-mass spectrometry assay for isocitrate dehydrogenase 1

    doi: 10.1039/d0an00174k

    Figure Lengend Snippet: IDH1 expression level as determined with western blot and αKG concentration as measured with SAMDI-MS for untreated cells and cells treated with transfection agent, control sequence siRNA and IDH1-targeting siRNA. All data are expressed as mean ± standard deviation with n = 2 experimental replicates.

    Article Snippet: The membrane was then blocked using Odyssey® TBS blocking buffer (LI-COR, Lincoln, NE) at room temperature for 1 hour and incubated overnight with rabbit IgG anti-IDH1 (Cell Signaling Technology, Danvers, MA) at a 1 : 1000 dilution and mouse IgG1 anti-HSP70 (BD Biosciences, Franklin Lanes, NJ) at a 1 : 2000 dilution at 4 °C.

    Techniques: Expressing, Western Blot, Concentration Assay, Transfection, Sequencing, Standard Deviation

    Journal: Cell Metabolism

    Article Title: Polyamines and eIF5A Hypusination Modulate Mitochondrial Respiration and Macrophage Activation

    doi: 10.1016/j.cmet.2019.05.003

    Figure Lengend Snippet:

    Article Snippet: Anti-IDH1 , Cell signalling , D2H1.

    Techniques: Recombinant, Enzyme-linked Immunosorbent Assay, Construct, Plasmid Preparation, Sequencing, Clone Assay, Software

    Proteome-transcriptome correlation in human hematopoietic stem and progenitor cell subpopulations. ( A ) Nonsupervised hierarchical clustering (Euclidean distance) heatmap of the intensity for the transcripts identified in HSCs/MPPs (referred to as HSCs), CMPs, GMPs, and MEPs (shades of red) isolated from five different HSPC donors (shades of blue). The transcript intensities are centered and scaled and depicted in color shades from red to blue. The transcripts with missing transcript intensity values in all samples were removed because they could not be handled by the clustering algorithm. Remaining missing transcript intensity values are shown in white. Clustering was observed mostly according to cell type, not according to donor. ( B ) GO enrichment analysis showed good alignment of protein and mRNA data. GSEA was performed for ranked mRNA and protein lists using GO processes from the Gene Ontology Consortium database as gene sets. Shown are normalized enrichment scores for the individual gene sets. Significantly up-regulated gene sets are marked in blue color; significantly downregulated gene sets are marked in red color. Significance was defined as FDR < 0.25, specific cell subpopulations were compared with the average of the remaining three cell types, and log2(fold change) was used as ranking criterion. Empty fields mean that no enrichment could be calculated. Abbreviations: MEGA, megakaryocyte; MAPK, mitogen-activated protein kinase; PI3K, phosphoinositide-3-kinase; PLC, phospholipase C. ( C ) Correlation between proteomics and transcriptomics data for HSCs/MPPs (referred to as HSCs), CMPs, GMPs, and MEPs. Dots are depicted in red when the FDR was below 0.01 both for protein and RNA data, orange when FDR < 0.01 for protein data, purple when FDR < 0.01 for RNA data, and gray when FDR ≥ 0.01 for both protein and RNA data. ( D ) Network analysis of significantly up-regulated proteins with concomitant significantly downregulated mRNA in HSCs/MPPs. Two clusters were especially prominent, including the snoRNPs and telomerase complex proteins GAR1, DKC1, NOP10, NHP2, and the quiescence-inducing NAD(P)H-producing proteins IDH1, IDH3A, and IDH3B. HSCs/MPPs were compared with the average of the other three subpopulations; cutoffs were set at FDR < 0.01 for protein and RNA data. Colors depict GO terms found enriched in B .

    Journal: Molecular & Cellular Proteomics : MCP

    Article Title: Sensitive Quantitative Proteomics of Human Hematopoietic Stem and Progenitor Cells by Data-independent Acquisition Mass Spectrometry

    doi: 10.1074/mcp.TIR119.001431

    Figure Lengend Snippet: Proteome-transcriptome correlation in human hematopoietic stem and progenitor cell subpopulations. ( A ) Nonsupervised hierarchical clustering (Euclidean distance) heatmap of the intensity for the transcripts identified in HSCs/MPPs (referred to as HSCs), CMPs, GMPs, and MEPs (shades of red) isolated from five different HSPC donors (shades of blue). The transcript intensities are centered and scaled and depicted in color shades from red to blue. The transcripts with missing transcript intensity values in all samples were removed because they could not be handled by the clustering algorithm. Remaining missing transcript intensity values are shown in white. Clustering was observed mostly according to cell type, not according to donor. ( B ) GO enrichment analysis showed good alignment of protein and mRNA data. GSEA was performed for ranked mRNA and protein lists using GO processes from the Gene Ontology Consortium database as gene sets. Shown are normalized enrichment scores for the individual gene sets. Significantly up-regulated gene sets are marked in blue color; significantly downregulated gene sets are marked in red color. Significance was defined as FDR < 0.25, specific cell subpopulations were compared with the average of the remaining three cell types, and log2(fold change) was used as ranking criterion. Empty fields mean that no enrichment could be calculated. Abbreviations: MEGA, megakaryocyte; MAPK, mitogen-activated protein kinase; PI3K, phosphoinositide-3-kinase; PLC, phospholipase C. ( C ) Correlation between proteomics and transcriptomics data for HSCs/MPPs (referred to as HSCs), CMPs, GMPs, and MEPs. Dots are depicted in red when the FDR was below 0.01 both for protein and RNA data, orange when FDR < 0.01 for protein data, purple when FDR < 0.01 for RNA data, and gray when FDR ≥ 0.01 for both protein and RNA data. ( D ) Network analysis of significantly up-regulated proteins with concomitant significantly downregulated mRNA in HSCs/MPPs. Two clusters were especially prominent, including the snoRNPs and telomerase complex proteins GAR1, DKC1, NOP10, NHP2, and the quiescence-inducing NAD(P)H-producing proteins IDH1, IDH3A, and IDH3B. HSCs/MPPs were compared with the average of the other three subpopulations; cutoffs were set at FDR < 0.01 for protein and RNA data. Colors depict GO terms found enriched in B .

    Article Snippet: For FACS analysis of intracellular isocitrate dehydrogenase 1 (IDH1) expression, the IntraPrep Leukocytic Permeabilization Reagent Kit (Beckman Coulter, Brea, CA) was used together with phycoerythrin (PE)-conjugated anti-IDH1, D2H1 (Cell Signaling Technology, Danvers, MA) and PE-conjugated isotype control, DA1E (Cell Signaling Technology).

    Techniques: Isolation

    Marker expression in microvesicles obtained from GBM8. (A) Images of MV-like vesicles labeled for generic EV markers (CD81, TSG101, CD63, Alix, integrin beta 1, CD9, CD40, Arf6, VAMP-3) and glioblastoma markers (EGFR, EGFRvIII, EpCAM, IDH1-R132H) were quantified per single vesicle. Heat map of data is organized by high expression to low expression. Note the heterogeneity profile of each individual MV-like vesicle. (B) Waterfall plot displaying the percent of the total MV-like vesicles that are positive for a given marker. IDH1-R132H was not detected in any of the vesicles.

    Journal: Neuro-Oncology

    Article Title: Characterization of single microvesicles in plasma from glioblastoma patients

    doi: 10.1093/neuonc/noy187

    Figure Lengend Snippet: Marker expression in microvesicles obtained from GBM8. (A) Images of MV-like vesicles labeled for generic EV markers (CD81, TSG101, CD63, Alix, integrin beta 1, CD9, CD40, Arf6, VAMP-3) and glioblastoma markers (EGFR, EGFRvIII, EpCAM, IDH1-R132H) were quantified per single vesicle. Heat map of data is organized by high expression to low expression. Note the heterogeneity profile of each individual MV-like vesicle. (B) Waterfall plot displaying the percent of the total MV-like vesicles that are positive for a given marker. IDH1-R132H was not detected in any of the vesicles.

    Article Snippet: 31 CD9(VJ1)-CD405M, TSG101, integrin beta 1 (12G10), epidermal growth factor receptor (EGFR)-AF594, CD31-AF647 CD45, epithelial cell adhesion molecule (EpCAM) (AUA1), and Arf6 (poly) antibodies were purchased from Abcam; CD41, CD42b-AF647, CD40 (5C3), CD40 (3/23), CD9 (MZ3), and isocitrate dehydrogenase 1 (IDH1) (O92H9) antibodies were purchased from Biolegend; CD63 (AHN16.1/16-4-5) antibody was purchased from Ancell; Alix, CD81, and VAMP-3 antibodies were purchased from Santa Cruz; IDH1-R132H, Arf6 (EPR8357), and integrin beta 1 (poly) antibodies were purchased from EMD Millipore; CD235a-AF647 antibody was acquired from BioRad; EGFR variant III (EGFRvIII) and IDH1 (D2H1) antibodies were acquired from Cell Signaling Technologies; CD63 (poly) was acquired from R&D Systems; and EpCAM (G8.8) was acquired from eBioscience.

    Techniques: Marker, Expressing, Labeling

    Summary of marker expression in MV-like fractions obtained from different specimens

    Journal: Neuro-Oncology

    Article Title: Characterization of single microvesicles in plasma from glioblastoma patients

    doi: 10.1093/neuonc/noy187

    Figure Lengend Snippet: Summary of marker expression in MV-like fractions obtained from different specimens

    Article Snippet: 31 CD9(VJ1)-CD405M, TSG101, integrin beta 1 (12G10), epidermal growth factor receptor (EGFR)-AF594, CD31-AF647 CD45, epithelial cell adhesion molecule (EpCAM) (AUA1), and Arf6 (poly) antibodies were purchased from Abcam; CD41, CD42b-AF647, CD40 (5C3), CD40 (3/23), CD9 (MZ3), and isocitrate dehydrogenase 1 (IDH1) (O92H9) antibodies were purchased from Biolegend; CD63 (AHN16.1/16-4-5) antibody was purchased from Ancell; Alix, CD81, and VAMP-3 antibodies were purchased from Santa Cruz; IDH1-R132H, Arf6 (EPR8357), and integrin beta 1 (poly) antibodies were purchased from EMD Millipore; CD235a-AF647 antibody was acquired from BioRad; EGFR variant III (EGFRvIII) and IDH1 (D2H1) antibodies were acquired from Cell Signaling Technologies; CD63 (poly) was acquired from R&D Systems; and EpCAM (G8.8) was acquired from eBioscience.

    Techniques: Marker, Expressing

    Global marker expression in human GB plasma samples. (A) Total MV-like vesicle numbers in the plasma from each patient were determined via nanoparticle tracking analysis (NTA). (B) The amount of TMV was determined by first accounting for host cell MV (using a cocktail of CD31, CD41, CD42β, CD45, and CD235a) then staining remaining vesicles for tumor markers (EGFR, EGFRvIII, EpCAM, and IDH1-R132H). TMV were present and detectable in all GB patients analyzed. (C) The relative contribution of TMV to the total MV-like vesicle pool was variable among GB patients. (D) The heterogeneity of EGFR, EGFRvIII, and EpCAM expression (IDH1-R132H was not detected in any of the EV observed) among the subpopulation of TMV for each patient was assessed.

    Journal: Neuro-Oncology

    Article Title: Characterization of single microvesicles in plasma from glioblastoma patients

    doi: 10.1093/neuonc/noy187

    Figure Lengend Snippet: Global marker expression in human GB plasma samples. (A) Total MV-like vesicle numbers in the plasma from each patient were determined via nanoparticle tracking analysis (NTA). (B) The amount of TMV was determined by first accounting for host cell MV (using a cocktail of CD31, CD41, CD42β, CD45, and CD235a) then staining remaining vesicles for tumor markers (EGFR, EGFRvIII, EpCAM, and IDH1-R132H). TMV were present and detectable in all GB patients analyzed. (C) The relative contribution of TMV to the total MV-like vesicle pool was variable among GB patients. (D) The heterogeneity of EGFR, EGFRvIII, and EpCAM expression (IDH1-R132H was not detected in any of the EV observed) among the subpopulation of TMV for each patient was assessed.

    Article Snippet: 31 CD9(VJ1)-CD405M, TSG101, integrin beta 1 (12G10), epidermal growth factor receptor (EGFR)-AF594, CD31-AF647 CD45, epithelial cell adhesion molecule (EpCAM) (AUA1), and Arf6 (poly) antibodies were purchased from Abcam; CD41, CD42b-AF647, CD40 (5C3), CD40 (3/23), CD9 (MZ3), and isocitrate dehydrogenase 1 (IDH1) (O92H9) antibodies were purchased from Biolegend; CD63 (AHN16.1/16-4-5) antibody was purchased from Ancell; Alix, CD81, and VAMP-3 antibodies were purchased from Santa Cruz; IDH1-R132H, Arf6 (EPR8357), and integrin beta 1 (poly) antibodies were purchased from EMD Millipore; CD235a-AF647 antibody was acquired from BioRad; EGFR variant III (EGFRvIII) and IDH1 (D2H1) antibodies were acquired from Cell Signaling Technologies; CD63 (poly) was acquired from R&D Systems; and EpCAM (G8.8) was acquired from eBioscience.

    Techniques: Marker, Expressing, Staining

    Patient demographics and clinical characteristics

    Journal: Neuro-Oncology

    Article Title: Characterization of single microvesicles in plasma from glioblastoma patients

    doi: 10.1093/neuonc/noy187

    Figure Lengend Snippet: Patient demographics and clinical characteristics

    Article Snippet: 31 CD9(VJ1)-CD405M, TSG101, integrin beta 1 (12G10), epidermal growth factor receptor (EGFR)-AF594, CD31-AF647 CD45, epithelial cell adhesion molecule (EpCAM) (AUA1), and Arf6 (poly) antibodies were purchased from Abcam; CD41, CD42b-AF647, CD40 (5C3), CD40 (3/23), CD9 (MZ3), and isocitrate dehydrogenase 1 (IDH1) (O92H9) antibodies were purchased from Biolegend; CD63 (AHN16.1/16-4-5) antibody was purchased from Ancell; Alix, CD81, and VAMP-3 antibodies were purchased from Santa Cruz; IDH1-R132H, Arf6 (EPR8357), and integrin beta 1 (poly) antibodies were purchased from EMD Millipore; CD235a-AF647 antibody was acquired from BioRad; EGFR variant III (EGFRvIII) and IDH1 (D2H1) antibodies were acquired from Cell Signaling Technologies; CD63 (poly) was acquired from R&D Systems; and EpCAM (G8.8) was acquired from eBioscience.

    Techniques: