Review



hpv18 genomes  (InvivoGen)


Bioz Verified Symbol InvivoGen is a verified supplier
Bioz Manufacturer Symbol InvivoGen manufactures this product  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
  • 93

    Structured Review

    InvivoGen hpv18 genomes
    Both oncogenes are needed to impact cGAMP levels. (A) western blot analysis for functional markers p53 and PTPN14, N= 3 using TTL system (B) cGAMP ELISA following DNA stimulation, N=4. (C) p-values for cGAMP ELISA of each cell line relative to <t>HPV18</t> at specified time points. (D) Western blot showing function expression of E6 and/or E7 in overexpression cell lines. N=3 (E) cGAMP ELISA following DNA transfection, N=3 Statistics for (C and E) were calculated with two-way ANOVA, followed by Dunnett’s multiple comparison test. * p < 0.05; **p < 0.01; *** p < 0.001. Error bars indicate SEM.
    Hpv18 Genomes, supplied by InvivoGen, used in various techniques. Bioz Stars score: 93/100, based on 19 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/hpv18 genomes/product/InvivoGen
    Average 93 stars, based on 19 article reviews
    hpv18 genomes - by Bioz Stars, 2026-03
    93/100 stars

    Images

    1) Product Images from "Human Papillomavirus Infection Blunts STING Signaling and Alters Downstream Response"

    Article Title: Human Papillomavirus Infection Blunts STING Signaling and Alters Downstream Response

    Journal: bioRxiv

    doi: 10.1101/2025.11.06.686957

    Both oncogenes are needed to impact cGAMP levels. (A) western blot analysis for functional markers p53 and PTPN14, N= 3 using TTL system (B) cGAMP ELISA following DNA stimulation, N=4. (C) p-values for cGAMP ELISA of each cell line relative to HPV18 at specified time points. (D) Western blot showing function expression of E6 and/or E7 in overexpression cell lines. N=3 (E) cGAMP ELISA following DNA transfection, N=3 Statistics for (C and E) were calculated with two-way ANOVA, followed by Dunnett’s multiple comparison test. * p < 0.05; **p < 0.01; *** p < 0.001. Error bars indicate SEM.
    Figure Legend Snippet: Both oncogenes are needed to impact cGAMP levels. (A) western blot analysis for functional markers p53 and PTPN14, N= 3 using TTL system (B) cGAMP ELISA following DNA stimulation, N=4. (C) p-values for cGAMP ELISA of each cell line relative to HPV18 at specified time points. (D) Western blot showing function expression of E6 and/or E7 in overexpression cell lines. N=3 (E) cGAMP ELISA following DNA transfection, N=3 Statistics for (C and E) were calculated with two-way ANOVA, followed by Dunnett’s multiple comparison test. * p < 0.05; **p < 0.01; *** p < 0.001. Error bars indicate SEM.

    Techniques Used: Western Blot, Functional Assay, Enzyme-linked Immunosorbent Assay, Expressing, Over Expression, Transfection, Comparison

    HPV18(+) cells produce more cGAMP than parental control cells. Quantification of cGAMP by ELISA following DNA stimulation of HPV(-) cells (black) and HPV18(+) cells (red). N=3 donors, 3 reps in each donor, average of the 9 replicates, (A) replicates separated by donor (B). Statistics for (A) were calculated using a linear mixed-effects model with “HPV” and “Time” as fixed effects and donor as a random effect to account for inter-donor variability. Statistics for (B) were calculated with a two-way ANOVA followed by a Dunnett’s post hoc test. * p<0.05; ** p<0.01; *** p<0.001Error bars for represent SEM, calculated by first averaging technical replicates (n=3 per donor) with propagated error, and then computing SEM across biological replicates (n=3 donors).
    Figure Legend Snippet: HPV18(+) cells produce more cGAMP than parental control cells. Quantification of cGAMP by ELISA following DNA stimulation of HPV(-) cells (black) and HPV18(+) cells (red). N=3 donors, 3 reps in each donor, average of the 9 replicates, (A) replicates separated by donor (B). Statistics for (A) were calculated using a linear mixed-effects model with “HPV” and “Time” as fixed effects and donor as a random effect to account for inter-donor variability. Statistics for (B) were calculated with a two-way ANOVA followed by a Dunnett’s post hoc test. * p<0.05; ** p<0.01; *** p<0.001Error bars for represent SEM, calculated by first averaging technical replicates (n=3 per donor) with propagated error, and then computing SEM across biological replicates (n=3 donors).

    Techniques Used: Control, Enzyme-linked Immunosorbent Assay

    HPV decreases STING and IRF3 activation. (A) Western blot showing DNA-treated HPV18(+) and parental cells. Quantification of (B) pSTING, average of the 9 replicates (C) pSTING, separated by donor (D) pIRF3 western blots, average of the 9 replicates, (E) pIRF3, separated by donor. N=3 donors, 3 replicates in each. Statistics for the average of 9 (B and D) were calculated using a linear mixed-effects model with “HPV” and “Time” as fixed effects and donor as a random effect to account for inter-donor variability. Statistics for each cell line (C and E) were calculated with a two-way ANOVA followed by a Dunnett’s post hoc test. * p < 0.05; ** p<0.01; *** p<0.001. Error bars represent SEM, calculated by first averaging technical replicates (n=3 per donor) with propagated error, and then computing SEM across biological replicates (n=3 donors). Slope was calculated by fitting linear regressions within each time interval, and the values were subsequently analyzed using a linear mixed-effects model.
    Figure Legend Snippet: HPV decreases STING and IRF3 activation. (A) Western blot showing DNA-treated HPV18(+) and parental cells. Quantification of (B) pSTING, average of the 9 replicates (C) pSTING, separated by donor (D) pIRF3 western blots, average of the 9 replicates, (E) pIRF3, separated by donor. N=3 donors, 3 replicates in each. Statistics for the average of 9 (B and D) were calculated using a linear mixed-effects model with “HPV” and “Time” as fixed effects and donor as a random effect to account for inter-donor variability. Statistics for each cell line (C and E) were calculated with a two-way ANOVA followed by a Dunnett’s post hoc test. * p < 0.05; ** p<0.01; *** p<0.001. Error bars represent SEM, calculated by first averaging technical replicates (n=3 per donor) with propagated error, and then computing SEM across biological replicates (n=3 donors). Slope was calculated by fitting linear regressions within each time interval, and the values were subsequently analyzed using a linear mixed-effects model.

    Techniques Used: Activation Assay, Western Blot

    Both oncogenes are needed to impact STING activation. (A) Western blot for total STING, pSTING, and αTubulin for the TTL cell lines, N=3. (B) Densitometry of pSTING normalized to αTubulin and a loading control lysate run on all blots. (C) p-values for pSTING densitometry of each cell line relative to HPV18 cells at specified time points. (D) Western blot for total STING, pSTING, and αTubulin for the over expression cell lines, N=3. (E) Densitometry of pSTING normalized to αTubulin and a loading control lysate run on all blots. (F) p-values for pSTING densitometry of each cell line relative to E6/E7 expressing cells at specified time points. Statistics for (C and F) were calculated with two-way ANOVA, followed by Dunnett’s multiple comparison test. * p < 0.05; ** p < 0.01; *** p < 0.001. Error bars indicate SEM.
    Figure Legend Snippet: Both oncogenes are needed to impact STING activation. (A) Western blot for total STING, pSTING, and αTubulin for the TTL cell lines, N=3. (B) Densitometry of pSTING normalized to αTubulin and a loading control lysate run on all blots. (C) p-values for pSTING densitometry of each cell line relative to HPV18 cells at specified time points. (D) Western blot for total STING, pSTING, and αTubulin for the over expression cell lines, N=3. (E) Densitometry of pSTING normalized to αTubulin and a loading control lysate run on all blots. (F) p-values for pSTING densitometry of each cell line relative to E6/E7 expressing cells at specified time points. Statistics for (C and F) were calculated with two-way ANOVA, followed by Dunnett’s multiple comparison test. * p < 0.05; ** p < 0.01; *** p < 0.001. Error bars indicate SEM.

    Techniques Used: Activation Assay, Western Blot, Control, Over Expression, Expressing, Comparison



    Similar Products

    93
    ATCC hpv18 genome
    Hpv18 Genome, supplied by ATCC, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/hpv18 genome/product/ATCC
    Average 93 stars, based on 1 article reviews
    hpv18 genome - by Bioz Stars, 2026-03
    93/100 stars
      Buy from Supplier

    93
    InvivoGen hpv18 genomes
    Both oncogenes are needed to impact cGAMP levels. (A) western blot analysis for functional markers p53 and PTPN14, N= 3 using TTL system (B) cGAMP ELISA following DNA stimulation, N=4. (C) p-values for cGAMP ELISA of each cell line relative to <t>HPV18</t> at specified time points. (D) Western blot showing function expression of E6 and/or E7 in overexpression cell lines. N=3 (E) cGAMP ELISA following DNA transfection, N=3 Statistics for (C and E) were calculated with two-way ANOVA, followed by Dunnett’s multiple comparison test. * p < 0.05; **p < 0.01; *** p < 0.001. Error bars indicate SEM.
    Hpv18 Genomes, supplied by InvivoGen, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/hpv18 genomes/product/InvivoGen
    Average 93 stars, based on 1 article reviews
    hpv18 genomes - by Bioz Stars, 2026-03
    93/100 stars
      Buy from Supplier

    90
    Thermo Fisher hpv18 genome sequence-specific probe labelled with [α-32p]dctp
    Both oncogenes are needed to impact cGAMP levels. (A) western blot analysis for functional markers p53 and PTPN14, N= 3 using TTL system (B) cGAMP ELISA following DNA stimulation, N=4. (C) p-values for cGAMP ELISA of each cell line relative to <t>HPV18</t> at specified time points. (D) Western blot showing function expression of E6 and/or E7 in overexpression cell lines. N=3 (E) cGAMP ELISA following DNA transfection, N=3 Statistics for (C and E) were calculated with two-way ANOVA, followed by Dunnett’s multiple comparison test. * p < 0.05; **p < 0.01; *** p < 0.001. Error bars indicate SEM.
    Hpv18 Genome Sequence Specific Probe Labelled With [α 32p]Dctp, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/hpv18 genome sequence-specific probe labelled with [α-32p]dctp/product/Thermo Fisher
    Average 90 stars, based on 1 article reviews
    hpv18 genome sequence-specific probe labelled with [α-32p]dctp - by Bioz Stars, 2026-03
    90/100 stars
      Buy from Supplier

    99
    New England Biolabs hpv18 genome
    Both oncogenes are needed to impact cGAMP levels. (A) western blot analysis for functional markers p53 and PTPN14, N= 3 using TTL system (B) cGAMP ELISA following DNA stimulation, N=4. (C) p-values for cGAMP ELISA of each cell line relative to <t>HPV18</t> at specified time points. (D) Western blot showing function expression of E6 and/or E7 in overexpression cell lines. N=3 (E) cGAMP ELISA following DNA transfection, N=3 Statistics for (C and E) were calculated with two-way ANOVA, followed by Dunnett’s multiple comparison test. * p < 0.05; **p < 0.01; *** p < 0.001. Error bars indicate SEM.
    Hpv18 Genome, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/hpv18 genome/product/New England Biolabs
    Average 99 stars, based on 1 article reviews
    hpv18 genome - by Bioz Stars, 2026-03
    99/100 stars
      Buy from Supplier

    95
    ATCC plasmid transfection hpv18 genome positive cell lines
    Both oncogenes are needed to impact cGAMP levels. (A) western blot analysis for functional markers p53 and PTPN14, N= 3 using TTL system (B) cGAMP ELISA following DNA stimulation, N=4. (C) p-values for cGAMP ELISA of each cell line relative to <t>HPV18</t> at specified time points. (D) Western blot showing function expression of E6 and/or E7 in overexpression cell lines. N=3 (E) cGAMP ELISA following DNA transfection, N=3 Statistics for (C and E) were calculated with two-way ANOVA, followed by Dunnett’s multiple comparison test. * p < 0.05; **p < 0.01; *** p < 0.001. Error bars indicate SEM.
    Plasmid Transfection Hpv18 Genome Positive Cell Lines, supplied by ATCC, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/plasmid transfection hpv18 genome positive cell lines/product/ATCC
    Average 95 stars, based on 1 article reviews
    plasmid transfection hpv18 genome positive cell lines - by Bioz Stars, 2026-03
    95/100 stars
      Buy from Supplier

    Image Search Results


    Both oncogenes are needed to impact cGAMP levels. (A) western blot analysis for functional markers p53 and PTPN14, N= 3 using TTL system (B) cGAMP ELISA following DNA stimulation, N=4. (C) p-values for cGAMP ELISA of each cell line relative to HPV18 at specified time points. (D) Western blot showing function expression of E6 and/or E7 in overexpression cell lines. N=3 (E) cGAMP ELISA following DNA transfection, N=3 Statistics for (C and E) were calculated with two-way ANOVA, followed by Dunnett’s multiple comparison test. * p < 0.05; **p < 0.01; *** p < 0.001. Error bars indicate SEM.

    Journal: bioRxiv

    Article Title: Human Papillomavirus Infection Blunts STING Signaling and Alters Downstream Response

    doi: 10.1101/2025.11.06.686957

    Figure Lengend Snippet: Both oncogenes are needed to impact cGAMP levels. (A) western blot analysis for functional markers p53 and PTPN14, N= 3 using TTL system (B) cGAMP ELISA following DNA stimulation, N=4. (C) p-values for cGAMP ELISA of each cell line relative to HPV18 at specified time points. (D) Western blot showing function expression of E6 and/or E7 in overexpression cell lines. N=3 (E) cGAMP ELISA following DNA transfection, N=3 Statistics for (C and E) were calculated with two-way ANOVA, followed by Dunnett’s multiple comparison test. * p < 0.05; **p < 0.01; *** p < 0.001. Error bars indicate SEM.

    Article Snippet: Primary human foreskin keratinocytes (HFKs) with or without HPV18 genomes were treated with 25 μg/mL 2′3′-cGAMP (InvivoGen tlrl-nacga23) to directly activate STING.

    Techniques: Western Blot, Functional Assay, Enzyme-linked Immunosorbent Assay, Expressing, Over Expression, Transfection, Comparison

    HPV18(+) cells produce more cGAMP than parental control cells. Quantification of cGAMP by ELISA following DNA stimulation of HPV(-) cells (black) and HPV18(+) cells (red). N=3 donors, 3 reps in each donor, average of the 9 replicates, (A) replicates separated by donor (B). Statistics for (A) were calculated using a linear mixed-effects model with “HPV” and “Time” as fixed effects and donor as a random effect to account for inter-donor variability. Statistics for (B) were calculated with a two-way ANOVA followed by a Dunnett’s post hoc test. * p<0.05; ** p<0.01; *** p<0.001Error bars for represent SEM, calculated by first averaging technical replicates (n=3 per donor) with propagated error, and then computing SEM across biological replicates (n=3 donors).

    Journal: bioRxiv

    Article Title: Human Papillomavirus Infection Blunts STING Signaling and Alters Downstream Response

    doi: 10.1101/2025.11.06.686957

    Figure Lengend Snippet: HPV18(+) cells produce more cGAMP than parental control cells. Quantification of cGAMP by ELISA following DNA stimulation of HPV(-) cells (black) and HPV18(+) cells (red). N=3 donors, 3 reps in each donor, average of the 9 replicates, (A) replicates separated by donor (B). Statistics for (A) were calculated using a linear mixed-effects model with “HPV” and “Time” as fixed effects and donor as a random effect to account for inter-donor variability. Statistics for (B) were calculated with a two-way ANOVA followed by a Dunnett’s post hoc test. * p<0.05; ** p<0.01; *** p<0.001Error bars for represent SEM, calculated by first averaging technical replicates (n=3 per donor) with propagated error, and then computing SEM across biological replicates (n=3 donors).

    Article Snippet: Primary human foreskin keratinocytes (HFKs) with or without HPV18 genomes were treated with 25 μg/mL 2′3′-cGAMP (InvivoGen tlrl-nacga23) to directly activate STING.

    Techniques: Control, Enzyme-linked Immunosorbent Assay

    HPV decreases STING and IRF3 activation. (A) Western blot showing DNA-treated HPV18(+) and parental cells. Quantification of (B) pSTING, average of the 9 replicates (C) pSTING, separated by donor (D) pIRF3 western blots, average of the 9 replicates, (E) pIRF3, separated by donor. N=3 donors, 3 replicates in each. Statistics for the average of 9 (B and D) were calculated using a linear mixed-effects model with “HPV” and “Time” as fixed effects and donor as a random effect to account for inter-donor variability. Statistics for each cell line (C and E) were calculated with a two-way ANOVA followed by a Dunnett’s post hoc test. * p < 0.05; ** p<0.01; *** p<0.001. Error bars represent SEM, calculated by first averaging technical replicates (n=3 per donor) with propagated error, and then computing SEM across biological replicates (n=3 donors). Slope was calculated by fitting linear regressions within each time interval, and the values were subsequently analyzed using a linear mixed-effects model.

    Journal: bioRxiv

    Article Title: Human Papillomavirus Infection Blunts STING Signaling and Alters Downstream Response

    doi: 10.1101/2025.11.06.686957

    Figure Lengend Snippet: HPV decreases STING and IRF3 activation. (A) Western blot showing DNA-treated HPV18(+) and parental cells. Quantification of (B) pSTING, average of the 9 replicates (C) pSTING, separated by donor (D) pIRF3 western blots, average of the 9 replicates, (E) pIRF3, separated by donor. N=3 donors, 3 replicates in each. Statistics for the average of 9 (B and D) were calculated using a linear mixed-effects model with “HPV” and “Time” as fixed effects and donor as a random effect to account for inter-donor variability. Statistics for each cell line (C and E) were calculated with a two-way ANOVA followed by a Dunnett’s post hoc test. * p < 0.05; ** p<0.01; *** p<0.001. Error bars represent SEM, calculated by first averaging technical replicates (n=3 per donor) with propagated error, and then computing SEM across biological replicates (n=3 donors). Slope was calculated by fitting linear regressions within each time interval, and the values were subsequently analyzed using a linear mixed-effects model.

    Article Snippet: Primary human foreskin keratinocytes (HFKs) with or without HPV18 genomes were treated with 25 μg/mL 2′3′-cGAMP (InvivoGen tlrl-nacga23) to directly activate STING.

    Techniques: Activation Assay, Western Blot

    Both oncogenes are needed to impact STING activation. (A) Western blot for total STING, pSTING, and αTubulin for the TTL cell lines, N=3. (B) Densitometry of pSTING normalized to αTubulin and a loading control lysate run on all blots. (C) p-values for pSTING densitometry of each cell line relative to HPV18 cells at specified time points. (D) Western blot for total STING, pSTING, and αTubulin for the over expression cell lines, N=3. (E) Densitometry of pSTING normalized to αTubulin and a loading control lysate run on all blots. (F) p-values for pSTING densitometry of each cell line relative to E6/E7 expressing cells at specified time points. Statistics for (C and F) were calculated with two-way ANOVA, followed by Dunnett’s multiple comparison test. * p < 0.05; ** p < 0.01; *** p < 0.001. Error bars indicate SEM.

    Journal: bioRxiv

    Article Title: Human Papillomavirus Infection Blunts STING Signaling and Alters Downstream Response

    doi: 10.1101/2025.11.06.686957

    Figure Lengend Snippet: Both oncogenes are needed to impact STING activation. (A) Western blot for total STING, pSTING, and αTubulin for the TTL cell lines, N=3. (B) Densitometry of pSTING normalized to αTubulin and a loading control lysate run on all blots. (C) p-values for pSTING densitometry of each cell line relative to HPV18 cells at specified time points. (D) Western blot for total STING, pSTING, and αTubulin for the over expression cell lines, N=3. (E) Densitometry of pSTING normalized to αTubulin and a loading control lysate run on all blots. (F) p-values for pSTING densitometry of each cell line relative to E6/E7 expressing cells at specified time points. Statistics for (C and F) were calculated with two-way ANOVA, followed by Dunnett’s multiple comparison test. * p < 0.05; ** p < 0.01; *** p < 0.001. Error bars indicate SEM.

    Article Snippet: Primary human foreskin keratinocytes (HFKs) with or without HPV18 genomes were treated with 25 μg/mL 2′3′-cGAMP (InvivoGen tlrl-nacga23) to directly activate STING.

    Techniques: Activation Assay, Western Blot, Control, Over Expression, Expressing, Comparison