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pcmv6 il1ra overexpression plasmid  (OriGene)


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    Structured Review

    OriGene pcmv6 il1ra overexpression plasmid
    Pcmv6 Il1ra Overexpression Plasmid, supplied by OriGene, used in various techniques. Bioz Stars score: 94/100, based on 4 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/il1rn/IL1RA+(IL1RN)+(NM_173842)+Human+Tagged+ORF+Clone/pm41568202-238-3-7
    Average 94 stars, based on 4 article reviews
    pcmv6 il1ra overexpression plasmid - by Bioz Stars, 2026-09
    94/100 stars

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    Related Articles

    Plasmid Preparation:

    Article Title: A distinct cross-reactive autoimmune response in multisystem inflammatory syndrome in children (MIS-C)
    Article Snippet: For KDELR1, a plasmid containing Myc-DDK-tagged full length human KDELR1 under a T7 promoter was ordered from Origene (RC205880), and was sequence verified by Primordium Labs upon receipt. .. For IL1RN, a plasmid containing Myc-DDK-tagged full length human IL1RN under a T7 promoter was ordered from Origene (RC218518), and was sequence verified by Primordium Labs upon receipt. ..

    Sequencing:

    Article Title: A distinct cross-reactive autoimmune response in multisystem inflammatory syndrome in children (MIS-C)
    Article Snippet: For KDELR1, a plasmid containing Myc-DDK-tagged full length human KDELR1 under a T7 promoter was ordered from Origene (RC205880), and was sequence verified by Primordium Labs upon receipt. .. For IL1RN, a plasmid containing Myc-DDK-tagged full length human IL1RN under a T7 promoter was ordered from Origene (RC218518), and was sequence verified by Primordium Labs upon receipt. ..



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    ( A-B ): Analysis of microarray data (TCGA-381-tpm-gencode36) of ovarian cancer patients using R2 Genomics Analysis and Visualization Platform tools showed that IL1β and IL1R1 mRNA overexpression predicts poor survival. ( C ): Schema of testing the role of Il1β, Il1r1 and <t>Il1rn</t> (Il1r1 antagonist) in ovarian cancer burden both at the needle injury and omental sites. ( D-E ): HGS-3 murine high-grade serous EOC cells (4.5 million/per mice) were implanted intraperitoneally using 21 sterile gauge needle in C57BL/6 WT and C57BL/6 Il1r1 KO mice. Mice were observed for 45-50 days and euthanized. Tumors formed on needle injury site both protruding at the skin, and, in the peritoneum, and on the omentum, shown by red arrows, were isolated, weighed and frozen in liquid nitrogen. Lavages via washing with sterile PBS(5mL) were also collected. The studies were repeated thrice. A representative experiment is shown. ( F ): Weights of the omental did not differ between C57BL/6 wt and Il1r1 KO mice. ( G ): Weights of the peritoneal/skin tumors differed significantly between C57BL/6 wt and Il1r1 KO mice groups. * indicates <0.05. ( H-K ): Tumors formed at the needle injury site in C57BL/6 wt and Il1rn KO mice are pointed with the red arrows. ( I -upper vs I -lower): Images of the omental and peritoneal /skin tumors harvested from the euthanized Il1r1 KO mice are shown. ( J ): Omental tumor weights in C57BL/6 wt did not differ between Il1rn k ° mice groups. ( L -upper vs L -lower): Images of the omental and peritoneal /skin tumors harvested from the euthanized Il1rn KO mice are shown. ( M ): Weights of the tumors formed on the needle injury site in C57BL/6 WT mice did not differ for Il1rn KO mice groups. This experiment was repeated twice. Tumor sizes were analyzed via non-parametric T-test using Graph-Prism version -7 or higher. * indicates <0.05. ( N ): Il1r1 KO does not significantly impact myeloid percentages in the peritoneal lavage and tumor. A) Peritoneal lavage and tumor percentages and cell numbers of CD11b+Ly6G+ neutrophils from flow cytometry data of wild type and IL1R1KO mice injected with HGS3 tumors. B) Peritoneal lavage percentages and cell numbers of F4/80loMHCIIhi and F4/80hiMHCIILow macrophages from the peritoneal lavage and percentage of MHCII hi and MHCII Low macrophages from tumors from flow cytometry data of wild type and IL1R1 KO mice injected with HGS3 tumors. N = 15-20 mice per group from 3 independent experiments. Statistical significance was determined using Mann-Whitney test, *p < 0.033, **p < 0.002, ***p < 0.001. ( O ): Table shows that none of the IL1β, IL1R1 and myd88/TLR targeted agents has been approved for treatment of a malignancy yet. ( P ): Schema of IL1β/IRAK4 signaling pathway. Scheme shows that inhibiting IRAK4 can centrally block IL1/TLR driven signaling in ovarian malignancies. ( Q ): Table summarizes the status of 3 IRAK4 inhibitors undergoing clinical trials. ( R ): Using GENT2 database we observed that compared to normal ovaries, malignant ovaries overexpress IRAK4 mRNA. ( S ): GENT2 database also showed that higher stages of EOC disease significantly increased IRAK4 mRNA expression. Analysis of the EOC patient’s microarray data using GENT2 tools showed that IRAK4 mRNA expression was altered in various stages of disease. Two-sample T-test showed statistical differentiations: IA vs I (p=0.004); IA vs II (p=0.007); IA vs III (p<0.001); IC vs IIA (p=0.002); IC vs III (p<0.001); IIA vs I (p<0.001); IIA vs II (p<0.001); IIA vs III (p<0.001); IIA vs IIC (p=0.006); IIA vs IIIC (p=0.001); IIC vs III (p<0.001); III vs IIB (p=0.004); IIIA vs I (p=0.001); IIIA vs II (p=0.004); IIIA vs III (p<0.001); IIB vs I (p=0.008); IIIB vs III (p=<0.001); IV vs I (p=0.004); IV vs IIA (p=0.005); IV vs III (p=<0.001). ( http://gent2.appex.kr/gent2/ , date accessed 10/2/2023). ( T-U ): Analysis of microarray data (TCGA-381-tpm-gencode36) of ovarian cancer patients using R2 Genomics Analysis and Visualization Platform tools showed that IRAK4 and IRAK1 mRNA overexpression predicts poor survival in EOC patients.
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    ( A-B ): Analysis of microarray data (TCGA-381-tpm-gencode36) of ovarian cancer patients using R2 Genomics Analysis and Visualization Platform tools showed that IL1β and IL1R1 mRNA overexpression predicts poor survival. ( C ): Schema of testing the role of Il1β, Il1r1 and <t>Il1rn</t> (Il1r1 antagonist) in ovarian cancer burden both at the needle injury and omental sites. ( D-E ): HGS-3 murine high-grade serous EOC cells (4.5 million/per mice) were implanted intraperitoneally using 21 sterile gauge needle in C57BL/6 WT and C57BL/6 Il1r1 KO mice. Mice were observed for 45-50 days and euthanized. Tumors formed on needle injury site both protruding at the skin, and, in the peritoneum, and on the omentum, shown by red arrows, were isolated, weighed and frozen in liquid nitrogen. Lavages via washing with sterile PBS(5mL) were also collected. The studies were repeated thrice. A representative experiment is shown. ( F ): Weights of the omental did not differ between C57BL/6 wt and Il1r1 KO mice. ( G ): Weights of the peritoneal/skin tumors differed significantly between C57BL/6 wt and Il1r1 KO mice groups. * indicates <0.05. ( H-K ): Tumors formed at the needle injury site in C57BL/6 wt and Il1rn KO mice are pointed with the red arrows. ( I -upper vs I -lower): Images of the omental and peritoneal /skin tumors harvested from the euthanized Il1r1 KO mice are shown. ( J ): Omental tumor weights in C57BL/6 wt did not differ between Il1rn k ° mice groups. ( L -upper vs L -lower): Images of the omental and peritoneal /skin tumors harvested from the euthanized Il1rn KO mice are shown. ( M ): Weights of the tumors formed on the needle injury site in C57BL/6 WT mice did not differ for Il1rn KO mice groups. This experiment was repeated twice. Tumor sizes were analyzed via non-parametric T-test using Graph-Prism version -7 or higher. * indicates <0.05. ( N ): Il1r1 KO does not significantly impact myeloid percentages in the peritoneal lavage and tumor. A) Peritoneal lavage and tumor percentages and cell numbers of CD11b+Ly6G+ neutrophils from flow cytometry data of wild type and IL1R1KO mice injected with HGS3 tumors. B) Peritoneal lavage percentages and cell numbers of F4/80loMHCIIhi and F4/80hiMHCIILow macrophages from the peritoneal lavage and percentage of MHCII hi and MHCII Low macrophages from tumors from flow cytometry data of wild type and IL1R1 KO mice injected with HGS3 tumors. N = 15-20 mice per group from 3 independent experiments. Statistical significance was determined using Mann-Whitney test, *p < 0.033, **p < 0.002, ***p < 0.001. ( O ): Table shows that none of the IL1β, IL1R1 and myd88/TLR targeted agents has been approved for treatment of a malignancy yet. ( P ): Schema of IL1β/IRAK4 signaling pathway. Scheme shows that inhibiting IRAK4 can centrally block IL1/TLR driven signaling in ovarian malignancies. ( Q ): Table summarizes the status of 3 IRAK4 inhibitors undergoing clinical trials. ( R ): Using GENT2 database we observed that compared to normal ovaries, malignant ovaries overexpress IRAK4 mRNA. ( S ): GENT2 database also showed that higher stages of EOC disease significantly increased IRAK4 mRNA expression. Analysis of the EOC patient’s microarray data using GENT2 tools showed that IRAK4 mRNA expression was altered in various stages of disease. Two-sample T-test showed statistical differentiations: IA vs I (p=0.004); IA vs II (p=0.007); IA vs III (p<0.001); IC vs IIA (p=0.002); IC vs III (p<0.001); IIA vs I (p<0.001); IIA vs II (p<0.001); IIA vs III (p<0.001); IIA vs IIC (p=0.006); IIA vs IIIC (p=0.001); IIC vs III (p<0.001); III vs IIB (p=0.004); IIIA vs I (p=0.001); IIIA vs II (p=0.004); IIIA vs III (p<0.001); IIB vs I (p=0.008); IIIB vs III (p=<0.001); IV vs I (p=0.004); IV vs IIA (p=0.005); IV vs III (p=<0.001). ( http://gent2.appex.kr/gent2/ , date accessed 10/2/2023). ( T-U ): Analysis of microarray data (TCGA-381-tpm-gencode36) of ovarian cancer patients using R2 Genomics Analysis and Visualization Platform tools showed that IRAK4 and IRAK1 mRNA overexpression predicts poor survival in EOC patients.
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    <t>CBX3:IL1RN</t> determines the CMS classification and clinical outcome of OSCC. (A) Graph displays gene pairs selected via Switchbox by utilizing the pooled TCGA + CPTAC data. (B) Kaplan–Meier curve illustrates the survival outcomes of CMS1 and CMS2 patients, identified through gene pair classification, utilizing data from TCGA and CPTAC. (C) Summary table of Univariate Cox Regression Analysis for Gene Pairs in TCGA + CPTAC Dataset. (D) Kaplan–Meier survival curves validate the survival rates of patients with high CBX3:IL1RN ratio and low CBX3:IL1RN ratio in the GSE65858 . (E, F) Boxplots show the varied predicted chemosensitivity values to cisplatin and docetaxel among CBX3 high patients and IL1RN high patients (cutoff = 1). The y‐axis indicates predicted IC50 by OncoPredict R package.
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    <t>CBX3:IL1RN</t> determines the CMS classification and clinical outcome of OSCC. (A) Graph displays gene pairs selected via Switchbox by utilizing the pooled TCGA + CPTAC data. (B) Kaplan–Meier curve illustrates the survival outcomes of CMS1 and CMS2 patients, identified through gene pair classification, utilizing data from TCGA and CPTAC. (C) Summary table of Univariate Cox Regression Analysis for Gene Pairs in TCGA + CPTAC Dataset. (D) Kaplan–Meier survival curves validate the survival rates of patients with high CBX3:IL1RN ratio and low CBX3:IL1RN ratio in the GSE65858 . (E, F) Boxplots show the varied predicted chemosensitivity values to cisplatin and docetaxel among CBX3 high patients and IL1RN high patients (cutoff = 1). The y‐axis indicates predicted IC50 by OncoPredict R package.
    Pcmv6 Il1ra Overexpression Plasmid, supplied by OriGene, 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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    Average 94 stars, based on 1 article reviews
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    Thermo Fisher gene exp il1rn mm00446186 m1
    <t>CBX3:IL1RN</t> determines the CMS classification and clinical outcome of OSCC. (A) Graph displays gene pairs selected via Switchbox by utilizing the pooled TCGA + CPTAC data. (B) Kaplan–Meier curve illustrates the survival outcomes of CMS1 and CMS2 patients, identified through gene pair classification, utilizing data from TCGA and CPTAC. (C) Summary table of Univariate Cox Regression Analysis for Gene Pairs in TCGA + CPTAC Dataset. (D) Kaplan–Meier survival curves validate the survival rates of patients with high CBX3:IL1RN ratio and low CBX3:IL1RN ratio in the GSE65858 . (E, F) Boxplots show the varied predicted chemosensitivity values to cisplatin and docetaxel among CBX3 high patients and IL1RN high patients (cutoff = 1). The y‐axis indicates predicted IC50 by OncoPredict R package.
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    Image Search Results


    ( A-B ): Analysis of microarray data (TCGA-381-tpm-gencode36) of ovarian cancer patients using R2 Genomics Analysis and Visualization Platform tools showed that IL1β and IL1R1 mRNA overexpression predicts poor survival. ( C ): Schema of testing the role of Il1β, Il1r1 and Il1rn (Il1r1 antagonist) in ovarian cancer burden both at the needle injury and omental sites. ( D-E ): HGS-3 murine high-grade serous EOC cells (4.5 million/per mice) were implanted intraperitoneally using 21 sterile gauge needle in C57BL/6 WT and C57BL/6 Il1r1 KO mice. Mice were observed for 45-50 days and euthanized. Tumors formed on needle injury site both protruding at the skin, and, in the peritoneum, and on the omentum, shown by red arrows, were isolated, weighed and frozen in liquid nitrogen. Lavages via washing with sterile PBS(5mL) were also collected. The studies were repeated thrice. A representative experiment is shown. ( F ): Weights of the omental did not differ between C57BL/6 wt and Il1r1 KO mice. ( G ): Weights of the peritoneal/skin tumors differed significantly between C57BL/6 wt and Il1r1 KO mice groups. * indicates <0.05. ( H-K ): Tumors formed at the needle injury site in C57BL/6 wt and Il1rn KO mice are pointed with the red arrows. ( I -upper vs I -lower): Images of the omental and peritoneal /skin tumors harvested from the euthanized Il1r1 KO mice are shown. ( J ): Omental tumor weights in C57BL/6 wt did not differ between Il1rn k ° mice groups. ( L -upper vs L -lower): Images of the omental and peritoneal /skin tumors harvested from the euthanized Il1rn KO mice are shown. ( M ): Weights of the tumors formed on the needle injury site in C57BL/6 WT mice did not differ for Il1rn KO mice groups. This experiment was repeated twice. Tumor sizes were analyzed via non-parametric T-test using Graph-Prism version -7 or higher. * indicates <0.05. ( N ): Il1r1 KO does not significantly impact myeloid percentages in the peritoneal lavage and tumor. A) Peritoneal lavage and tumor percentages and cell numbers of CD11b+Ly6G+ neutrophils from flow cytometry data of wild type and IL1R1KO mice injected with HGS3 tumors. B) Peritoneal lavage percentages and cell numbers of F4/80loMHCIIhi and F4/80hiMHCIILow macrophages from the peritoneal lavage and percentage of MHCII hi and MHCII Low macrophages from tumors from flow cytometry data of wild type and IL1R1 KO mice injected with HGS3 tumors. N = 15-20 mice per group from 3 independent experiments. Statistical significance was determined using Mann-Whitney test, *p < 0.033, **p < 0.002, ***p < 0.001. ( O ): Table shows that none of the IL1β, IL1R1 and myd88/TLR targeted agents has been approved for treatment of a malignancy yet. ( P ): Schema of IL1β/IRAK4 signaling pathway. Scheme shows that inhibiting IRAK4 can centrally block IL1/TLR driven signaling in ovarian malignancies. ( Q ): Table summarizes the status of 3 IRAK4 inhibitors undergoing clinical trials. ( R ): Using GENT2 database we observed that compared to normal ovaries, malignant ovaries overexpress IRAK4 mRNA. ( S ): GENT2 database also showed that higher stages of EOC disease significantly increased IRAK4 mRNA expression. Analysis of the EOC patient’s microarray data using GENT2 tools showed that IRAK4 mRNA expression was altered in various stages of disease. Two-sample T-test showed statistical differentiations: IA vs I (p=0.004); IA vs II (p=0.007); IA vs III (p<0.001); IC vs IIA (p=0.002); IC vs III (p<0.001); IIA vs I (p<0.001); IIA vs II (p<0.001); IIA vs III (p<0.001); IIA vs IIC (p=0.006); IIA vs IIIC (p=0.001); IIC vs III (p<0.001); III vs IIB (p=0.004); IIIA vs I (p=0.001); IIIA vs II (p=0.004); IIIA vs III (p<0.001); IIB vs I (p=0.008); IIIB vs III (p=<0.001); IV vs I (p=0.004); IV vs IIA (p=0.005); IV vs III (p=<0.001). ( http://gent2.appex.kr/gent2/ , date accessed 10/2/2023). ( T-U ): Analysis of microarray data (TCGA-381-tpm-gencode36) of ovarian cancer patients using R2 Genomics Analysis and Visualization Platform tools showed that IRAK4 and IRAK1 mRNA overexpression predicts poor survival in EOC patients.

    Journal: bioRxiv

    Article Title: IL1β/IL1R1/IRAK4 Drives Inflammatory Ovarian Cancer Seeding at the inflamed sites and Is Reversed by an IRAK4 inhibitor UR241-2

    doi: 10.64898/2026.04.30.722105

    Figure Lengend Snippet: ( A-B ): Analysis of microarray data (TCGA-381-tpm-gencode36) of ovarian cancer patients using R2 Genomics Analysis and Visualization Platform tools showed that IL1β and IL1R1 mRNA overexpression predicts poor survival. ( C ): Schema of testing the role of Il1β, Il1r1 and Il1rn (Il1r1 antagonist) in ovarian cancer burden both at the needle injury and omental sites. ( D-E ): HGS-3 murine high-grade serous EOC cells (4.5 million/per mice) were implanted intraperitoneally using 21 sterile gauge needle in C57BL/6 WT and C57BL/6 Il1r1 KO mice. Mice were observed for 45-50 days and euthanized. Tumors formed on needle injury site both protruding at the skin, and, in the peritoneum, and on the omentum, shown by red arrows, were isolated, weighed and frozen in liquid nitrogen. Lavages via washing with sterile PBS(5mL) were also collected. The studies were repeated thrice. A representative experiment is shown. ( F ): Weights of the omental did not differ between C57BL/6 wt and Il1r1 KO mice. ( G ): Weights of the peritoneal/skin tumors differed significantly between C57BL/6 wt and Il1r1 KO mice groups. * indicates <0.05. ( H-K ): Tumors formed at the needle injury site in C57BL/6 wt and Il1rn KO mice are pointed with the red arrows. ( I -upper vs I -lower): Images of the omental and peritoneal /skin tumors harvested from the euthanized Il1r1 KO mice are shown. ( J ): Omental tumor weights in C57BL/6 wt did not differ between Il1rn k ° mice groups. ( L -upper vs L -lower): Images of the omental and peritoneal /skin tumors harvested from the euthanized Il1rn KO mice are shown. ( M ): Weights of the tumors formed on the needle injury site in C57BL/6 WT mice did not differ for Il1rn KO mice groups. This experiment was repeated twice. Tumor sizes were analyzed via non-parametric T-test using Graph-Prism version -7 or higher. * indicates <0.05. ( N ): Il1r1 KO does not significantly impact myeloid percentages in the peritoneal lavage and tumor. A) Peritoneal lavage and tumor percentages and cell numbers of CD11b+Ly6G+ neutrophils from flow cytometry data of wild type and IL1R1KO mice injected with HGS3 tumors. B) Peritoneal lavage percentages and cell numbers of F4/80loMHCIIhi and F4/80hiMHCIILow macrophages from the peritoneal lavage and percentage of MHCII hi and MHCII Low macrophages from tumors from flow cytometry data of wild type and IL1R1 KO mice injected with HGS3 tumors. N = 15-20 mice per group from 3 independent experiments. Statistical significance was determined using Mann-Whitney test, *p < 0.033, **p < 0.002, ***p < 0.001. ( O ): Table shows that none of the IL1β, IL1R1 and myd88/TLR targeted agents has been approved for treatment of a malignancy yet. ( P ): Schema of IL1β/IRAK4 signaling pathway. Scheme shows that inhibiting IRAK4 can centrally block IL1/TLR driven signaling in ovarian malignancies. ( Q ): Table summarizes the status of 3 IRAK4 inhibitors undergoing clinical trials. ( R ): Using GENT2 database we observed that compared to normal ovaries, malignant ovaries overexpress IRAK4 mRNA. ( S ): GENT2 database also showed that higher stages of EOC disease significantly increased IRAK4 mRNA expression. Analysis of the EOC patient’s microarray data using GENT2 tools showed that IRAK4 mRNA expression was altered in various stages of disease. Two-sample T-test showed statistical differentiations: IA vs I (p=0.004); IA vs II (p=0.007); IA vs III (p<0.001); IC vs IIA (p=0.002); IC vs III (p<0.001); IIA vs I (p<0.001); IIA vs II (p<0.001); IIA vs III (p<0.001); IIA vs IIC (p=0.006); IIA vs IIIC (p=0.001); IIC vs III (p<0.001); III vs IIB (p=0.004); IIIA vs I (p=0.001); IIIA vs II (p=0.004); IIIA vs III (p<0.001); IIB vs I (p=0.008); IIIB vs III (p=<0.001); IV vs I (p=0.004); IV vs IIA (p=0.005); IV vs III (p=<0.001). ( http://gent2.appex.kr/gent2/ , date accessed 10/2/2023). ( T-U ): Analysis of microarray data (TCGA-381-tpm-gencode36) of ovarian cancer patients using R2 Genomics Analysis and Visualization Platform tools showed that IRAK4 and IRAK1 mRNA overexpression predicts poor survival in EOC patients.

    Article Snippet: Il1r1 KO (B6.129S7-Il1r1tm1Imx/J), Il1rn KO ( ) (B6.129S-Il1rn tm1Dih/J) ( ) and Nlrp3 KO (Strain #:021302 - B6.129S6-Nlrp3tm1Bhk/J) mice were bred in-house from the breeders obtained from Jax laboratories.

    Techniques: Microarray, Over Expression, Sterility, Isolation, Flow Cytometry, Injection, MANN-WHITNEY, Blocking Assay, Clinical Proteomics, Expressing

    CBX3:IL1RN determines the CMS classification and clinical outcome of OSCC. (A) Graph displays gene pairs selected via Switchbox by utilizing the pooled TCGA + CPTAC data. (B) Kaplan–Meier curve illustrates the survival outcomes of CMS1 and CMS2 patients, identified through gene pair classification, utilizing data from TCGA and CPTAC. (C) Summary table of Univariate Cox Regression Analysis for Gene Pairs in TCGA + CPTAC Dataset. (D) Kaplan–Meier survival curves validate the survival rates of patients with high CBX3:IL1RN ratio and low CBX3:IL1RN ratio in the GSE65858 . (E, F) Boxplots show the varied predicted chemosensitivity values to cisplatin and docetaxel among CBX3 high patients and IL1RN high patients (cutoff = 1). The y‐axis indicates predicted IC50 by OncoPredict R package.

    Journal: Cancer Medicine

    Article Title: CBX3:IL1RN Reflects Distinct Cellular States That Defines the Clinical Outcome of Oral Squamous Cell Carcinoma

    doi: 10.1002/cam4.71705

    Figure Lengend Snippet: CBX3:IL1RN determines the CMS classification and clinical outcome of OSCC. (A) Graph displays gene pairs selected via Switchbox by utilizing the pooled TCGA + CPTAC data. (B) Kaplan–Meier curve illustrates the survival outcomes of CMS1 and CMS2 patients, identified through gene pair classification, utilizing data from TCGA and CPTAC. (C) Summary table of Univariate Cox Regression Analysis for Gene Pairs in TCGA + CPTAC Dataset. (D) Kaplan–Meier survival curves validate the survival rates of patients with high CBX3:IL1RN ratio and low CBX3:IL1RN ratio in the GSE65858 . (E, F) Boxplots show the varied predicted chemosensitivity values to cisplatin and docetaxel among CBX3 high patients and IL1RN high patients (cutoff = 1). The y‐axis indicates predicted IC50 by OncoPredict R package.

    Article Snippet: Primary antibody CBX3 (abcam, ab213167, dilute 1:100), and IL1RN (proteintech, 10844‐1‐AP, 1:100) were incubated overnight at 4°C, HRP oat anti‐Rabbit IgG (Servicebio, GB23303, 1:500), HRP Goat anti‐Mouse IgG (Servicebio, GB23301, 1:500) incubated for 60 min at 37°C.

    Techniques:

    CBX3 and IL1RN determine varied TME and cellular pathways. (A) Scatter plot illustrates the ranking of patients from the GSE103322 dataset (17 tumors), based on their CBX3:IL1RN ratio. Each dot signifies an individual patient. (B, C) Scatter plot shows the expression levels of CBX3 and IL1RN in the major cell types. Patients are ranked from the lowest to the highest CBX3:IL1RN ratio. Spearman's rank correlation is used and indicated with a red line. (D) Heatmap displays the correlation of genes with the CBX3:IL1RN ratio across various cell types. Genes that are significantly correlated ( p < 0.05, log2FoldChange > 0.5) with CBX3 are indicated in red, while those correlated with IL1RN are indicated in blue. (E) Heatmap of enriched hallmarks of these correlated genes in different cell types. Pathways that are significantly correlated with CBX3 and IL1RN are presented.

    Journal: Cancer Medicine

    Article Title: CBX3:IL1RN Reflects Distinct Cellular States That Defines the Clinical Outcome of Oral Squamous Cell Carcinoma

    doi: 10.1002/cam4.71705

    Figure Lengend Snippet: CBX3 and IL1RN determine varied TME and cellular pathways. (A) Scatter plot illustrates the ranking of patients from the GSE103322 dataset (17 tumors), based on their CBX3:IL1RN ratio. Each dot signifies an individual patient. (B, C) Scatter plot shows the expression levels of CBX3 and IL1RN in the major cell types. Patients are ranked from the lowest to the highest CBX3:IL1RN ratio. Spearman's rank correlation is used and indicated with a red line. (D) Heatmap displays the correlation of genes with the CBX3:IL1RN ratio across various cell types. Genes that are significantly correlated ( p < 0.05, log2FoldChange > 0.5) with CBX3 are indicated in red, while those correlated with IL1RN are indicated in blue. (E) Heatmap of enriched hallmarks of these correlated genes in different cell types. Pathways that are significantly correlated with CBX3 and IL1RN are presented.

    Article Snippet: Primary antibody CBX3 (abcam, ab213167, dilute 1:100), and IL1RN (proteintech, 10844‐1‐AP, 1:100) were incubated overnight at 4°C, HRP oat anti‐Rabbit IgG (Servicebio, GB23303, 1:500), HRP Goat anti‐Mouse IgG (Servicebio, GB23301, 1:500) incubated for 60 min at 37°C.

    Techniques: Expressing

    CBX3 and IL1RN are distributed in a patient‐specific and spatially distinct manner. (A) UMAP plots visualize OSCC malignant cells in GSE215403 . Patients ID, CBX3, IL1RN, SNAI2, and CBX3:IL1RN ratio are denoted. (B, C) UMAP plots and spatial plots of spatial transcriptome GSE208253 show (sample 1) the expression of CBX3, IL1RN, KRT14, COL1A1 and SNAI2. (D) Multiple immunofluorescence images show the distribution of CBX3 (red) and IL1RN (yellow) in patients label with D9 and B4. D9 represents (CBX3 > IL1RN) and B4 represents (IL1RN < CBX3). (E) Plots exhibit the correlation of CBX3 and IL1RN in Multiple immunofluorescences. Each plot represents a tissue sample.

    Journal: Cancer Medicine

    Article Title: CBX3:IL1RN Reflects Distinct Cellular States That Defines the Clinical Outcome of Oral Squamous Cell Carcinoma

    doi: 10.1002/cam4.71705

    Figure Lengend Snippet: CBX3 and IL1RN are distributed in a patient‐specific and spatially distinct manner. (A) UMAP plots visualize OSCC malignant cells in GSE215403 . Patients ID, CBX3, IL1RN, SNAI2, and CBX3:IL1RN ratio are denoted. (B, C) UMAP plots and spatial plots of spatial transcriptome GSE208253 show (sample 1) the expression of CBX3, IL1RN, KRT14, COL1A1 and SNAI2. (D) Multiple immunofluorescence images show the distribution of CBX3 (red) and IL1RN (yellow) in patients label with D9 and B4. D9 represents (CBX3 > IL1RN) and B4 represents (IL1RN < CBX3). (E) Plots exhibit the correlation of CBX3 and IL1RN in Multiple immunofluorescences. Each plot represents a tissue sample.

    Article Snippet: Primary antibody CBX3 (abcam, ab213167, dilute 1:100), and IL1RN (proteintech, 10844‐1‐AP, 1:100) were incubated overnight at 4°C, HRP oat anti‐Rabbit IgG (Servicebio, GB23303, 1:500), HRP Goat anti‐Mouse IgG (Servicebio, GB23301, 1:500) incubated for 60 min at 37°C.

    Techniques: Expressing, Immunofluorescence