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grp94 antibody h 10 sc 393402  (Santa Cruz Biotechnology)


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    Santa Cruz Biotechnology grp94 antibody h 10 sc 393402
    Characterisation and mass spectrometry analysis of patient ascites EV. (A) Schematics of EV collection from ascites samples. (B) EVs were recovered from the ascites samples of 10 patients with ovarian cancer and five patients without cancer by size exclusion (SEC). Size distribution obtained by NTAs for isolated EVs derived from representative samples of ascites samples. (C) Transmission electron microscopy analysis of isolated cancer and non‐cancer ascites EVs. Scale bar = 100 nm. (D) Immunoblot analyses for CD9, CD81 and <t>GRP94</t> of EV samples of cancer and non‐cancer ascites samples. Uncropped Western blotting data are shown in Figure . (E) Schematics of mass spectrometry analysis of patient ascites EV with human reference. (F) MS data with human reference was obtained for cancer and non‐cancer ascites EV. According to protein content–based EV characterisation from MISEV2023, EV‐associated proteins were categorised into 1a to 5b. Each protein is identified by its gene symbol. The data were converted to a log10 scale. (G) The heat map shows the protein expression obtained from the same MS data as in Figure (total = 2284 proteins). The data were converted to log2 fold change (log2FC). The details of the protein names are given in the Supplementary Information. (H) PCA of the MS data obtained in Figure . (I) Volcano plot analysis between Cancer and non‐cancer samples of MS data obtained in Figure . The p values for each protein were calculated using the Wald test in Limma.
    Grp94 Antibody H 10 Sc 393402, supplied by Santa Cruz Biotechnology, used in various techniques. Bioz Stars score: 94/100, based on 255 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/grp94+antibody+h+10+sc+393402/GRP+94+Antibody/pmc12508252-100-44-48
    Average 94 stars, based on 255 article reviews
    grp94 antibody h 10 sc 393402 - by Bioz Stars, 2026-10
    94/100 stars

    Images

    1) Product Images from "Proteomic Profiling of Bacterial Extracellular Vesicles for Exploring Ovarian Cancer Biomarkers"

    Article Title: Proteomic Profiling of Bacterial Extracellular Vesicles for Exploring Ovarian Cancer Biomarkers

    Journal: Journal of Extracellular Biology

    doi: 10.1002/jex2.70073

    Characterisation and mass spectrometry analysis of patient ascites EV. (A) Schematics of EV collection from ascites samples. (B) EVs were recovered from the ascites samples of 10 patients with ovarian cancer and five patients without cancer by size exclusion (SEC). Size distribution obtained by NTAs for isolated EVs derived from representative samples of ascites samples. (C) Transmission electron microscopy analysis of isolated cancer and non‐cancer ascites EVs. Scale bar = 100 nm. (D) Immunoblot analyses for CD9, CD81 and GRP94 of EV samples of cancer and non‐cancer ascites samples. Uncropped Western blotting data are shown in Figure . (E) Schematics of mass spectrometry analysis of patient ascites EV with human reference. (F) MS data with human reference was obtained for cancer and non‐cancer ascites EV. According to protein content–based EV characterisation from MISEV2023, EV‐associated proteins were categorised into 1a to 5b. Each protein is identified by its gene symbol. The data were converted to a log10 scale. (G) The heat map shows the protein expression obtained from the same MS data as in Figure (total = 2284 proteins). The data were converted to log2 fold change (log2FC). The details of the protein names are given in the Supplementary Information. (H) PCA of the MS data obtained in Figure . (I) Volcano plot analysis between Cancer and non‐cancer samples of MS data obtained in Figure . The p values for each protein were calculated using the Wald test in Limma.
    Figure Legend Snippet: Characterisation and mass spectrometry analysis of patient ascites EV. (A) Schematics of EV collection from ascites samples. (B) EVs were recovered from the ascites samples of 10 patients with ovarian cancer and five patients without cancer by size exclusion (SEC). Size distribution obtained by NTAs for isolated EVs derived from representative samples of ascites samples. (C) Transmission electron microscopy analysis of isolated cancer and non‐cancer ascites EVs. Scale bar = 100 nm. (D) Immunoblot analyses for CD9, CD81 and GRP94 of EV samples of cancer and non‐cancer ascites samples. Uncropped Western blotting data are shown in Figure . (E) Schematics of mass spectrometry analysis of patient ascites EV with human reference. (F) MS data with human reference was obtained for cancer and non‐cancer ascites EV. According to protein content–based EV characterisation from MISEV2023, EV‐associated proteins were categorised into 1a to 5b. Each protein is identified by its gene symbol. The data were converted to a log10 scale. (G) The heat map shows the protein expression obtained from the same MS data as in Figure (total = 2284 proteins). The data were converted to log2 fold change (log2FC). The details of the protein names are given in the Supplementary Information. (H) PCA of the MS data obtained in Figure . (I) Volcano plot analysis between Cancer and non‐cancer samples of MS data obtained in Figure . The p values for each protein were calculated using the Wald test in Limma.

    Techniques Used: Mass Spectrometry, Isolation, Derivative Assay, Transmission Assay, Electron Microscopy, Western Blot, Expressing

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    Article Title: Proteomic Profiling of Bacterial Extracellular Vesicles for Exploring Ovarian Cancer Biomarkers
    Article Snippet: .. After blocking with Blocking One (Nacalai tesque) for 1 h at room temperature, the membranes were incubated overnight at 4°C with the following primary antibodies: anti‐CD9 Antibody, clone MM2/57 CBL162 (Merck, Darmstadt, Germany), CD81 Antibody (B‐11) sc‐166029 (Santa Cruz Biotechnology, Dallas, TX, USA) and GRP94 Antibody (H‐10) sc‐393402 (Santa Cruz Biotechnology), which were diluted 1:100 in 10 % Blocking One/Tris‐buffered saline with 0.1% Tween 20 (TBST). .. The following day, the membranes were washed three times for 5 min in TBST, then incubated for 4 h at room temperature with the following secondary antibodies: anti‐Mouse IgG, HRP‐Linked Whole Ab Sheep NA931 (Cytiva, Tokyo, Japan) were diluted 1:2000 and used for CD9, CD81 and GRP94.

    Incubation:

    Article Title: Uterine leiomyosarcoma cell-derived extracellular vesicles induce the formation of cancer-associated fibroblasts.
    Article Snippet: Objective: Uterine leiomyosarcoma (ULMS) is a rare malignant tumor, which is aggressive, and has a poor prognosis even during its early stages.. Extracellular vesicles (EVs) carry cargo, such as microRNAs (miRNAs), which are involved in intercellular communication in the tumor microenvironment and other processes.. Because there are no studies on EV-related miRNAs in ULMS, we identified EV-related miRNAs in ULMS and examined

    Article Title: Proteomic Profiling of Bacterial Extracellular Vesicles for Exploring Ovarian Cancer Biomarkers
    Article Snippet: .. After blocking with Blocking One (Nacalai tesque) for 1 h at room temperature, the membranes were incubated overnight at 4°C with the following primary antibodies: anti‐CD9 Antibody, clone MM2/57 CBL162 (Merck, Darmstadt, Germany), CD81 Antibody (B‐11) sc‐166029 (Santa Cruz Biotechnology, Dallas, TX, USA) and GRP94 Antibody (H‐10) sc‐393402 (Santa Cruz Biotechnology), which were diluted 1:100 in 10 % Blocking One/Tris‐buffered saline with 0.1% Tween 20 (TBST). .. The following day, the membranes were washed three times for 5 min in TBST, then incubated for 4 h at room temperature with the following secondary antibodies: anti‐Mouse IgG, HRP‐Linked Whole Ab Sheep NA931 (Cytiva, Tokyo, Japan) were diluted 1:2000 and used for CD9, CD81 and GRP94.

    Saline:

    Article Title: Uterine leiomyosarcoma cell-derived extracellular vesicles induce the formation of cancer-associated fibroblasts.
    Article Snippet: Objective: Uterine leiomyosarcoma (ULMS) is a rare malignant tumor, which is aggressive, and has a poor prognosis even during its early stages.. Extracellular vesicles (EVs) carry cargo, such as microRNAs (miRNAs), which are involved in intercellular communication in the tumor microenvironment and other processes.. Because there are no studies on EV-related miRNAs in ULMS, we identified EV-related miRNAs in ULMS and examined

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    Santa Cruz Biotechnology grp94 antibody h 10 sc 393402
    Characterisation and mass spectrometry analysis of patient ascites EV. (A) Schematics of EV collection from ascites samples. (B) EVs were recovered from the ascites samples of 10 patients with ovarian cancer and five patients without cancer by size exclusion (SEC). Size distribution obtained by NTAs for isolated EVs derived from representative samples of ascites samples. (C) Transmission electron microscopy analysis of isolated cancer and non‐cancer ascites EVs. Scale bar = 100 nm. (D) Immunoblot analyses for CD9, CD81 and <t>GRP94</t> of EV samples of cancer and non‐cancer ascites samples. Uncropped Western blotting data are shown in Figure . (E) Schematics of mass spectrometry analysis of patient ascites EV with human reference. (F) MS data with human reference was obtained for cancer and non‐cancer ascites EV. According to protein content–based EV characterisation from MISEV2023, EV‐associated proteins were categorised into 1a to 5b. Each protein is identified by its gene symbol. The data were converted to a log10 scale. (G) The heat map shows the protein expression obtained from the same MS data as in Figure (total = 2284 proteins). The data were converted to log2 fold change (log2FC). The details of the protein names are given in the Supplementary Information. (H) PCA of the MS data obtained in Figure . (I) Volcano plot analysis between Cancer and non‐cancer samples of MS data obtained in Figure . The p values for each protein were calculated using the Wald test in Limma.
    Grp94 Antibody H 10 Sc 393402, supplied by Santa Cruz Biotechnology, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/grp94+antibody+h+10+sc+393402/GRP+94+Antibody/pmc12508252-100-44-48
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    Santa Cruz Biotechnology sc 376768 rrid ab 2819145 grp94 h 10 santa cruz biotechnology
    Figure 3. EDEM1 overexpression increases insulin mRNA and consequently leads to an increased level of properly processed and matured proinsulin (A) INS-1E-pLPCX and cells stably expressing EDEM1, EDEM2 and EDEM3 were grown in RPMI-1640 medium with 11.2mM glucose for 72h and insulin mRNA level was determined by RT PCR. (B) As in (A), but INS-1E-pLPCX cells, heterogeneous bulk cultures (EDEM1B) and two cell clones (EDEM1C1 and EDEM1C2) expressing different amount of EDEM1 protein were analyzed. (C) As in (A), but INS-1E-shCtrl and INS-1E-shEDEM1 were used. (D) INS-1E-pLPCX and INS-1E-EDEM1 cells were seeded for 72h, starved in glucose-free medium for 1h and then incubated in medium with 1.7mM and 16.7 mM glucose for 1h and insulin mRNA level was analyzed by RT-PCR. (E) INS-1E-pLPCX and INS-1E-EDEM1 cells were grown in RPMI 1640 medium with 11.2mM glucose for 72h before being subjected to the subcellular fractionation by differential centrifugation and PNS, cytosol and ISG fractions were analyzed by Western blot with anti-insulin and anti-calnexin antibodies. (F) ISGs were separated by ultracentrifugation and analyzed on a discontinuous Nycodenz gradient composed of six layers (4.4%, 6%, 8.8%,11,7%,18% and 23,4%). Fractions were separated by SDS-PAGE and characterized with markers for ER (GRP78, <t>GRP94),</t> ER-Golgi intermediate compartment (ERGIC) (ERGIC53), clathrin vesicles (clathrin), secretory granules (syntaxin 8, VAMP1/2, VAMP2, PC2). (G) Proteins bands from Western Blot were analyzed and quantified with ImageJ analysis software. Data are represented as mean G SEM.
    Sc 376768 Rrid Ab 2819145 Grp94 H 10 Santa Cruz Biotechnology, supplied by Santa Cruz Biotechnology, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Santa Cruz Biotechnology grp94 h 10
    EDEM1 overexpression increases insulin mRNA and consequently leads to an increased level of properly processed and matured proinsulin (A) INS-1E-pLPCX and cells stably expressing EDEM1, EDEM2 and EDEM3 were grown in RPMI-1640 medium with 11.2mM glucose for 72h and insulin mRNA level was determined by RT PCR. (B) As in (A), but INS-1E-pLPCX cells, heterogeneous bulk cultures (EDEM1B) and two cell clones (EDEM1C1 and EDEM1C2) expressing different amount of EDEM1 protein were analyzed. (C) As in (A), but INS-1E-shCtrl and INS-1E-shEDEM1 were used. (D) INS-1E-pLPCX and INS-1E-EDEM1 cells were seeded for 72h, starved in glucose-free medium for 1h and then incubated in medium with 1.7mM and 16.7 mM glucose for 1h and insulin mRNA level was analyzed by RT-PCR. (E) INS-1E-pLPCX and INS-1E-EDEM1 cells were grown in RPMI 1640 medium with 11.2mM glucose for 72h before being subjected to the subcellular fractionation by differential centrifugation and PNS, cytosol and ISG fractions were analyzed by Western blot with anti-insulin and anti-calnexin antibodies. (F) ISGs were separated by ultracentrifugation and analyzed on a discontinuous Nycodenz gradient composed of six layers (4.4%, 6%, 8.8%,11,7%,18% and 23,4%). Fractions were separated by SDS-PAGE and characterized with markers for ER (GRP78, <t>GRP94),</t> ER-Golgi intermediate compartment (ERGIC) (ERGIC53), clathrin vesicles (clathrin), secretory granules (syntaxin 8, VAMP1/2, VAMP2, PC2). (G) Proteins bands from Western Blot were analyzed and quantified with ImageJ analysis software. Data are represented as mean ± SEM.
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    Characterisation and mass spectrometry analysis of patient ascites EV. (A) Schematics of EV collection from ascites samples. (B) EVs were recovered from the ascites samples of 10 patients with ovarian cancer and five patients without cancer by size exclusion (SEC). Size distribution obtained by NTAs for isolated EVs derived from representative samples of ascites samples. (C) Transmission electron microscopy analysis of isolated cancer and non‐cancer ascites EVs. Scale bar = 100 nm. (D) Immunoblot analyses for CD9, CD81 and GRP94 of EV samples of cancer and non‐cancer ascites samples. Uncropped Western blotting data are shown in Figure . (E) Schematics of mass spectrometry analysis of patient ascites EV with human reference. (F) MS data with human reference was obtained for cancer and non‐cancer ascites EV. According to protein content–based EV characterisation from MISEV2023, EV‐associated proteins were categorised into 1a to 5b. Each protein is identified by its gene symbol. The data were converted to a log10 scale. (G) The heat map shows the protein expression obtained from the same MS data as in Figure (total = 2284 proteins). The data were converted to log2 fold change (log2FC). The details of the protein names are given in the Supplementary Information. (H) PCA of the MS data obtained in Figure . (I) Volcano plot analysis between Cancer and non‐cancer samples of MS data obtained in Figure . The p values for each protein were calculated using the Wald test in Limma.

    Journal: Journal of Extracellular Biology

    Article Title: Proteomic Profiling of Bacterial Extracellular Vesicles for Exploring Ovarian Cancer Biomarkers

    doi: 10.1002/jex2.70073

    Figure Lengend Snippet: Characterisation and mass spectrometry analysis of patient ascites EV. (A) Schematics of EV collection from ascites samples. (B) EVs were recovered from the ascites samples of 10 patients with ovarian cancer and five patients without cancer by size exclusion (SEC). Size distribution obtained by NTAs for isolated EVs derived from representative samples of ascites samples. (C) Transmission electron microscopy analysis of isolated cancer and non‐cancer ascites EVs. Scale bar = 100 nm. (D) Immunoblot analyses for CD9, CD81 and GRP94 of EV samples of cancer and non‐cancer ascites samples. Uncropped Western blotting data are shown in Figure . (E) Schematics of mass spectrometry analysis of patient ascites EV with human reference. (F) MS data with human reference was obtained for cancer and non‐cancer ascites EV. According to protein content–based EV characterisation from MISEV2023, EV‐associated proteins were categorised into 1a to 5b. Each protein is identified by its gene symbol. The data were converted to a log10 scale. (G) The heat map shows the protein expression obtained from the same MS data as in Figure (total = 2284 proteins). The data were converted to log2 fold change (log2FC). The details of the protein names are given in the Supplementary Information. (H) PCA of the MS data obtained in Figure . (I) Volcano plot analysis between Cancer and non‐cancer samples of MS data obtained in Figure . The p values for each protein were calculated using the Wald test in Limma.

    Article Snippet: After blocking with Blocking One (Nacalai tesque) for 1 h at room temperature, the membranes were incubated overnight at 4°C with the following primary antibodies: anti‐CD9 Antibody, clone MM2/57 CBL162 (Merck, Darmstadt, Germany), CD81 Antibody (B‐11) sc‐166029 (Santa Cruz Biotechnology, Dallas, TX, USA) and GRP94 Antibody (H‐10) sc‐393402 (Santa Cruz Biotechnology), which were diluted 1:100 in 10 % Blocking One/Tris‐buffered saline with 0.1% Tween 20 (TBST).

    Techniques: Mass Spectrometry, Isolation, Derivative Assay, Transmission Assay, Electron Microscopy, Western Blot, Expressing

    Figure 3. EDEM1 overexpression increases insulin mRNA and consequently leads to an increased level of properly processed and matured proinsulin (A) INS-1E-pLPCX and cells stably expressing EDEM1, EDEM2 and EDEM3 were grown in RPMI-1640 medium with 11.2mM glucose for 72h and insulin mRNA level was determined by RT PCR. (B) As in (A), but INS-1E-pLPCX cells, heterogeneous bulk cultures (EDEM1B) and two cell clones (EDEM1C1 and EDEM1C2) expressing different amount of EDEM1 protein were analyzed. (C) As in (A), but INS-1E-shCtrl and INS-1E-shEDEM1 were used. (D) INS-1E-pLPCX and INS-1E-EDEM1 cells were seeded for 72h, starved in glucose-free medium for 1h and then incubated in medium with 1.7mM and 16.7 mM glucose for 1h and insulin mRNA level was analyzed by RT-PCR. (E) INS-1E-pLPCX and INS-1E-EDEM1 cells were grown in RPMI 1640 medium with 11.2mM glucose for 72h before being subjected to the subcellular fractionation by differential centrifugation and PNS, cytosol and ISG fractions were analyzed by Western blot with anti-insulin and anti-calnexin antibodies. (F) ISGs were separated by ultracentrifugation and analyzed on a discontinuous Nycodenz gradient composed of six layers (4.4%, 6%, 8.8%,11,7%,18% and 23,4%). Fractions were separated by SDS-PAGE and characterized with markers for ER (GRP78, GRP94), ER-Golgi intermediate compartment (ERGIC) (ERGIC53), clathrin vesicles (clathrin), secretory granules (syntaxin 8, VAMP1/2, VAMP2, PC2). (G) Proteins bands from Western Blot were analyzed and quantified with ImageJ analysis software. Data are represented as mean G SEM.

    Journal: iScience

    Article Title: EDEM1 regulates the insulin mRNA level by inhibiting the endoplasmic reticulum stress-induced IRE1/JNK/c-Jun pathway.

    doi: 10.1016/j.isci.2023.107956

    Figure Lengend Snippet: Figure 3. EDEM1 overexpression increases insulin mRNA and consequently leads to an increased level of properly processed and matured proinsulin (A) INS-1E-pLPCX and cells stably expressing EDEM1, EDEM2 and EDEM3 were grown in RPMI-1640 medium with 11.2mM glucose for 72h and insulin mRNA level was determined by RT PCR. (B) As in (A), but INS-1E-pLPCX cells, heterogeneous bulk cultures (EDEM1B) and two cell clones (EDEM1C1 and EDEM1C2) expressing different amount of EDEM1 protein were analyzed. (C) As in (A), but INS-1E-shCtrl and INS-1E-shEDEM1 were used. (D) INS-1E-pLPCX and INS-1E-EDEM1 cells were seeded for 72h, starved in glucose-free medium for 1h and then incubated in medium with 1.7mM and 16.7 mM glucose for 1h and insulin mRNA level was analyzed by RT-PCR. (E) INS-1E-pLPCX and INS-1E-EDEM1 cells were grown in RPMI 1640 medium with 11.2mM glucose for 72h before being subjected to the subcellular fractionation by differential centrifugation and PNS, cytosol and ISG fractions were analyzed by Western blot with anti-insulin and anti-calnexin antibodies. (F) ISGs were separated by ultracentrifugation and analyzed on a discontinuous Nycodenz gradient composed of six layers (4.4%, 6%, 8.8%,11,7%,18% and 23,4%). Fractions were separated by SDS-PAGE and characterized with markers for ER (GRP78, GRP94), ER-Golgi intermediate compartment (ERGIC) (ERGIC53), clathrin vesicles (clathrin), secretory granules (syntaxin 8, VAMP1/2, VAMP2, PC2). (G) Proteins bands from Western Blot were analyzed and quantified with ImageJ analysis software. Data are represented as mean G SEM.

    Article Snippet: Antibodies Insulin B (C-12) Santa Cruz Biotechnology Cat# sc-377071, RRID:AB_2800506 Insulin (H-86) Santa Cruz Biotechnology Cat# sc-9168, RRID:AB_2126540 C-peptide [1H8] Abcam Cat# ab8297, RRID:AB_306447 EDEM1 SIGMA-ALDRICH Cat# E8406, RRID:AB_1078720 Beta-Actin Abcam Cat# ab8226, RRID:AB_306371 Glut2 (C-19) Santa Cruz Biotechnology Cat# sc-7580, RRID:AB_641066 PC2 (H-20) Santa Cruz Biotechnology Cat#sc-22891, RRID:AB_2251901 Vamp2 (3E5) Santa Cruz Biotechnology Cat# sc-69706, RRID:AB_2212614 Vamp 1/2 (3H3117) Santa Cruz Biotechnology Cat# sc-73249, RRID:AB_1129807 GRP78 (A-10) Santa Cruz Biotechnology Cat# sc-376768, RRID:AB_2819145 GRP94 (H-10) Santa Cruz Biotechnology Cat# sc-393402, RRID:AB_2892568

    Techniques: Over Expression, Stable Transfection, Expressing, Reverse Transcription Polymerase Chain Reaction, Clone Assay, Incubation, Fractionation, Centrifugation, Western Blot, SDS Page, Software

    EDEM1 overexpression increases insulin mRNA and consequently leads to an increased level of properly processed and matured proinsulin (A) INS-1E-pLPCX and cells stably expressing EDEM1, EDEM2 and EDEM3 were grown in RPMI-1640 medium with 11.2mM glucose for 72h and insulin mRNA level was determined by RT PCR. (B) As in (A), but INS-1E-pLPCX cells, heterogeneous bulk cultures (EDEM1B) and two cell clones (EDEM1C1 and EDEM1C2) expressing different amount of EDEM1 protein were analyzed. (C) As in (A), but INS-1E-shCtrl and INS-1E-shEDEM1 were used. (D) INS-1E-pLPCX and INS-1E-EDEM1 cells were seeded for 72h, starved in glucose-free medium for 1h and then incubated in medium with 1.7mM and 16.7 mM glucose for 1h and insulin mRNA level was analyzed by RT-PCR. (E) INS-1E-pLPCX and INS-1E-EDEM1 cells were grown in RPMI 1640 medium with 11.2mM glucose for 72h before being subjected to the subcellular fractionation by differential centrifugation and PNS, cytosol and ISG fractions were analyzed by Western blot with anti-insulin and anti-calnexin antibodies. (F) ISGs were separated by ultracentrifugation and analyzed on a discontinuous Nycodenz gradient composed of six layers (4.4%, 6%, 8.8%,11,7%,18% and 23,4%). Fractions were separated by SDS-PAGE and characterized with markers for ER (GRP78, GRP94), ER-Golgi intermediate compartment (ERGIC) (ERGIC53), clathrin vesicles (clathrin), secretory granules (syntaxin 8, VAMP1/2, VAMP2, PC2). (G) Proteins bands from Western Blot were analyzed and quantified with ImageJ analysis software. Data are represented as mean ± SEM.

    Journal: iScience

    Article Title: EDEM1 regulates the insulin mRNA level by inhibiting the endoplasmic reticulum stress-induced IRE1/JNK/c-Jun pathway

    doi: 10.1016/j.isci.2023.107956

    Figure Lengend Snippet: EDEM1 overexpression increases insulin mRNA and consequently leads to an increased level of properly processed and matured proinsulin (A) INS-1E-pLPCX and cells stably expressing EDEM1, EDEM2 and EDEM3 were grown in RPMI-1640 medium with 11.2mM glucose for 72h and insulin mRNA level was determined by RT PCR. (B) As in (A), but INS-1E-pLPCX cells, heterogeneous bulk cultures (EDEM1B) and two cell clones (EDEM1C1 and EDEM1C2) expressing different amount of EDEM1 protein were analyzed. (C) As in (A), but INS-1E-shCtrl and INS-1E-shEDEM1 were used. (D) INS-1E-pLPCX and INS-1E-EDEM1 cells were seeded for 72h, starved in glucose-free medium for 1h and then incubated in medium with 1.7mM and 16.7 mM glucose for 1h and insulin mRNA level was analyzed by RT-PCR. (E) INS-1E-pLPCX and INS-1E-EDEM1 cells were grown in RPMI 1640 medium with 11.2mM glucose for 72h before being subjected to the subcellular fractionation by differential centrifugation and PNS, cytosol and ISG fractions were analyzed by Western blot with anti-insulin and anti-calnexin antibodies. (F) ISGs were separated by ultracentrifugation and analyzed on a discontinuous Nycodenz gradient composed of six layers (4.4%, 6%, 8.8%,11,7%,18% and 23,4%). Fractions were separated by SDS-PAGE and characterized with markers for ER (GRP78, GRP94), ER-Golgi intermediate compartment (ERGIC) (ERGIC53), clathrin vesicles (clathrin), secretory granules (syntaxin 8, VAMP1/2, VAMP2, PC2). (G) Proteins bands from Western Blot were analyzed and quantified with ImageJ analysis software. Data are represented as mean ± SEM.

    Article Snippet: GRP94 (H-10) , Santa Cruz Biotechnology , , Cat# sc-393402, RRID: AB_2892568.

    Techniques: Over Expression, Stable Transfection, Expressing, Reverse Transcription Polymerase Chain Reaction, Clone Assay, Incubation, Fractionation, Centrifugation, Western Blot, SDS Page, Software

    Journal: iScience

    Article Title: EDEM1 regulates the insulin mRNA level by inhibiting the endoplasmic reticulum stress-induced IRE1/JNK/c-Jun pathway

    doi: 10.1016/j.isci.2023.107956

    Figure Lengend Snippet:

    Article Snippet: GRP94 (H-10) , Santa Cruz Biotechnology , , Cat# sc-393402, RRID: AB_2892568.

    Techniques: Transduction, Recombinant, Enzyme-linked Immunosorbent Assay, Western Blot, shRNA, Software