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New England Biolabs linear rna
LNP-circRNA characterization. A) Cryo-TEM image of LNP-circRNA. B) hEpo expression 24 hours after transfection of 293 cells with equimolar quantities <t>of</t> <t>LNP-5moU-mRNA</t> or unmodified LNP-circRNA (left) and hEpo expression stability over 3 days (right; data presented as mean+SD, n=3). C) RIG-I and IFN-β1 transcript induction 24 hours after transfection of A549 cells with LNP-5moU-mRNA or unmodified LNP-circRNA. TR: transfection reagent plus 200ng <t>RNA</t> (MessengerMax); LNP(1x): 200ng LNP-RNA; LNP(2x): 400ng LNP-RNA; L: 5moU-mRNA; C: circRNA (data presented as mean+SD, n=3, ns=not significant, p<0.05). D) SEAP expression 48 hours after transfection of TLR reporter cells with the RNAs indicated in c), relative to null controls (data presented as mean+SD, n=3). E) Serum hEpo expression 6 hours after injection of 1.5 picomoles of LNP-5moU-mRNA or unmodified LNP-circRNA into visceral adipose (data presented as mean+SD, n=5 Linear 5moU, Circular; n=3 Mock). F) Relative hEpo expression in serum over 42 hours after injection with LNP-RNAs (data presented as mean+SD, n=5 Linear 5moU, Circular; n=3 Mock; see also Figure S6).
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LNP-circRNA characterization. A) Cryo-TEM image of LNP-circRNA. B) hEpo expression 24 hours after transfection of 293 cells with equimolar quantities <t>of</t> <t>LNP-5moU-mRNA</t> or unmodified LNP-circRNA (left) and hEpo expression stability over 3 days (right; data presented as mean+SD, n=3). C) RIG-I and IFN-β1 transcript induction 24 hours after transfection of A549 cells with LNP-5moU-mRNA or unmodified LNP-circRNA. TR: transfection reagent plus 200ng <t>RNA</t> (MessengerMax); LNP(1x): 200ng LNP-RNA; LNP(2x): 400ng LNP-RNA; L: 5moU-mRNA; C: circRNA (data presented as mean+SD, n=3, ns=not significant, p<0.05). D) SEAP expression 48 hours after transfection of TLR reporter cells with the RNAs indicated in c), relative to null controls (data presented as mean+SD, n=3). E) Serum hEpo expression 6 hours after injection of 1.5 picomoles of LNP-5moU-mRNA or unmodified LNP-circRNA into visceral adipose (data presented as mean+SD, n=5 Linear 5moU, Circular; n=3 Mock). F) Relative hEpo expression in serum over 42 hours after injection with LNP-RNAs (data presented as mean+SD, n=5 Linear 5moU, Circular; n=3 Mock; see also Figure S6).
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MACHEREY NAGEL hplc macherey-nagel nucleosil 100–5 c18
LNP-circRNA characterization. A) Cryo-TEM image of LNP-circRNA. B) hEpo expression 24 hours after transfection of 293 cells with equimolar quantities <t>of</t> <t>LNP-5moU-mRNA</t> or unmodified LNP-circRNA (left) and hEpo expression stability over 3 days (right; data presented as mean+SD, n=3). C) RIG-I and IFN-β1 transcript induction 24 hours after transfection of A549 cells with LNP-5moU-mRNA or unmodified LNP-circRNA. TR: transfection reagent plus 200ng <t>RNA</t> (MessengerMax); LNP(1x): 200ng LNP-RNA; LNP(2x): 400ng LNP-RNA; L: 5moU-mRNA; C: circRNA (data presented as mean+SD, n=3, ns=not significant, p<0.05). D) SEAP expression 48 hours after transfection of TLR reporter cells with the RNAs indicated in c), relative to null controls (data presented as mean+SD, n=3). E) Serum hEpo expression 6 hours after injection of 1.5 picomoles of LNP-5moU-mRNA or unmodified LNP-circRNA into visceral adipose (data presented as mean+SD, n=5 Linear 5moU, Circular; n=3 Mock). F) Relative hEpo expression in serum over 42 hours after injection with LNP-RNAs (data presented as mean+SD, n=5 Linear 5moU, Circular; n=3 Mock; see also Figure S6).
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GE Healthcare nonlinear percoll
LNP-circRNA characterization. A) Cryo-TEM image of LNP-circRNA. B) hEpo expression 24 hours after transfection of 293 cells with equimolar quantities <t>of</t> <t>LNP-5moU-mRNA</t> or unmodified LNP-circRNA (left) and hEpo expression stability over 3 days (right; data presented as mean+SD, n=3). C) RIG-I and IFN-β1 transcript induction 24 hours after transfection of A549 cells with LNP-5moU-mRNA or unmodified LNP-circRNA. TR: transfection reagent plus 200ng <t>RNA</t> (MessengerMax); LNP(1x): 200ng LNP-RNA; LNP(2x): 400ng LNP-RNA; L: 5moU-mRNA; C: circRNA (data presented as mean+SD, n=3, ns=not significant, p<0.05). D) SEAP expression 48 hours after transfection of TLR reporter cells with the RNAs indicated in c), relative to null controls (data presented as mean+SD, n=3). E) Serum hEpo expression 6 hours after injection of 1.5 picomoles of LNP-5moU-mRNA or unmodified LNP-circRNA into visceral adipose (data presented as mean+SD, n=5 Linear 5moU, Circular; n=3 Mock). F) Relative hEpo expression in serum over 42 hours after injection with LNP-RNAs (data presented as mean+SD, n=5 Linear 5moU, Circular; n=3 Mock; see also Figure S6).
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GE Healthcare immobiline drystrip gels
Comparison of 2-DE patterns between untreated and treated HuCCA-1 cells with apigenin. (A and B) Illustrate the 2-DE patterns of untreated and treated cells with 200 µM apigenin. NL pH 3–10 <t>Immobiline</t> <t>DryStrip</t> gels were used. Gels were stained with Coomassie Brilliant Blue R-250. Proteins with different expressions are marked by arrows with numbers. Data presented are the representative of three totally different experiments. 2-DE, two-dimensional gel electrophoresis; NL, non-linear.
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STATA Corporation non linear regression analysis
Comparison of 2-DE patterns between untreated and treated HuCCA-1 cells with apigenin. (A and B) Illustrate the 2-DE patterns of untreated and treated cells with 200 µM apigenin. NL pH 3–10 <t>Immobiline</t> <t>DryStrip</t> gels were used. Gels were stained with Coomassie Brilliant Blue R-250. Proteins with different expressions are marked by arrows with numbers. Data presented are the representative of three totally different experiments. 2-DE, two-dimensional gel electrophoresis; NL, non-linear.
Non Linear Regression Analysis, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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STATA Corporation stata v.17.0 software
Prediction of the level of anti-RBD IgG tested against the ancestral strain and the percentage of blocking between RBD and ACE-2 interaction against omicron based on the FRNT50 assay against SARS-CoV-2 omicron BA.1 and BA.2 variants using non-linear regression analysis. Sera samples from individuals with booster vaccination were tested with anti-RBD IgG against wild-type, sVNT against omicron, and FRNT50 against omicron BA.1 and BA.2. Predicted anti-RBD IgG level ( n = 310) was based on the FRNT50 titer against BA.1 (Panel ( a )) and BA.2 (Panel ( b )). Predicted sVNT level ( n = 218) was based on the FRNT50 against BA.1 (Panel ( c )) and BA.2 (Panel ( d )). The y axis represents log10 scale of anti-RBD IgG (BAU/mL). The x axis represents the log10 of FRNT50 titers. Dotted lines indicate 1.3 (the cut-off value of FRNT50 titer = 20) and 1.6 (the cut-off value of FRNT50 titer = 40). The arrows indicate the predicted level of anti-RBD IgG and percentage of inhibition from sVNT. Colored circles indicate the vaccine regimens for primary vaccine series+ booster vaccine. The r-square was calculated according to the non-linear equation using STATA <t>v.17.0</t> software. SV = CoronaVac (Sinovac, Beijing, China), AZ = AZD1222 (AstraZeneca, Oxford, UK), PF = BNT162b2 (Pfizer-BioNTech, Mainz, Germany), Mo = full dose mRNA-1273 (100 µg) (Moderna, Massachusetts, MA, USA), HM = half dose mRNA-1273 (50 µg).
Stata V.17.0 Software, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Nonlinear Dynamics kantz algorithm
Prediction of the level of anti-RBD IgG tested against the ancestral strain and the percentage of blocking between RBD and ACE-2 interaction against omicron based on the FRNT50 assay against SARS-CoV-2 omicron BA.1 and BA.2 variants using non-linear regression analysis. Sera samples from individuals with booster vaccination were tested with anti-RBD IgG against wild-type, sVNT against omicron, and FRNT50 against omicron BA.1 and BA.2. Predicted anti-RBD IgG level ( n = 310) was based on the FRNT50 titer against BA.1 (Panel ( a )) and BA.2 (Panel ( b )). Predicted sVNT level ( n = 218) was based on the FRNT50 against BA.1 (Panel ( c )) and BA.2 (Panel ( d )). The y axis represents log10 scale of anti-RBD IgG (BAU/mL). The x axis represents the log10 of FRNT50 titers. Dotted lines indicate 1.3 (the cut-off value of FRNT50 titer = 20) and 1.6 (the cut-off value of FRNT50 titer = 40). The arrows indicate the predicted level of anti-RBD IgG and percentage of inhibition from sVNT. Colored circles indicate the vaccine regimens for primary vaccine series+ booster vaccine. The r-square was calculated according to the non-linear equation using STATA <t>v.17.0</t> software. SV = CoronaVac (Sinovac, Beijing, China), AZ = AZD1222 (AstraZeneca, Oxford, UK), PF = BNT162b2 (Pfizer-BioNTech, Mainz, Germany), Mo = full dose mRNA-1273 (100 µg) (Moderna, Massachusetts, MA, USA), HM = half dose mRNA-1273 (50 µg).
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Bio-Rad readystrip ipg strips
Prediction of the level of anti-RBD IgG tested against the ancestral strain and the percentage of blocking between RBD and ACE-2 interaction against omicron based on the FRNT50 assay against SARS-CoV-2 omicron BA.1 and BA.2 variants using non-linear regression analysis. Sera samples from individuals with booster vaccination were tested with anti-RBD IgG against wild-type, sVNT against omicron, and FRNT50 against omicron BA.1 and BA.2. Predicted anti-RBD IgG level ( n = 310) was based on the FRNT50 titer against BA.1 (Panel ( a )) and BA.2 (Panel ( b )). Predicted sVNT level ( n = 218) was based on the FRNT50 against BA.1 (Panel ( c )) and BA.2 (Panel ( d )). The y axis represents log10 scale of anti-RBD IgG (BAU/mL). The x axis represents the log10 of FRNT50 titers. Dotted lines indicate 1.3 (the cut-off value of FRNT50 titer = 20) and 1.6 (the cut-off value of FRNT50 titer = 40). The arrows indicate the predicted level of anti-RBD IgG and percentage of inhibition from sVNT. Colored circles indicate the vaccine regimens for primary vaccine series+ booster vaccine. The r-square was calculated according to the non-linear equation using STATA <t>v.17.0</t> software. SV = CoronaVac (Sinovac, Beijing, China), AZ = AZD1222 (AstraZeneca, Oxford, UK), PF = BNT162b2 (Pfizer-BioNTech, Mainz, Germany), Mo = full dose mRNA-1273 (100 µg) (Moderna, Massachusetts, MA, USA), HM = half dose mRNA-1273 (50 µg).
Readystrip Ipg Strips, supplied by Bio-Rad, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Nonlinear Dynamics dynamics of molecules
Prediction of the level of anti-RBD IgG tested against the ancestral strain and the percentage of blocking between RBD and ACE-2 interaction against omicron based on the FRNT50 assay against SARS-CoV-2 omicron BA.1 and BA.2 variants using non-linear regression analysis. Sera samples from individuals with booster vaccination were tested with anti-RBD IgG against wild-type, sVNT against omicron, and FRNT50 against omicron BA.1 and BA.2. Predicted anti-RBD IgG level ( n = 310) was based on the FRNT50 titer against BA.1 (Panel ( a )) and BA.2 (Panel ( b )). Predicted sVNT level ( n = 218) was based on the FRNT50 against BA.1 (Panel ( c )) and BA.2 (Panel ( d )). The y axis represents log10 scale of anti-RBD IgG (BAU/mL). The x axis represents the log10 of FRNT50 titers. Dotted lines indicate 1.3 (the cut-off value of FRNT50 titer = 20) and 1.6 (the cut-off value of FRNT50 titer = 40). The arrows indicate the predicted level of anti-RBD IgG and percentage of inhibition from sVNT. Colored circles indicate the vaccine regimens for primary vaccine series+ booster vaccine. The r-square was calculated according to the non-linear equation using STATA <t>v.17.0</t> software. SV = CoronaVac (Sinovac, Beijing, China), AZ = AZD1222 (AstraZeneca, Oxford, UK), PF = BNT162b2 (Pfizer-BioNTech, Mainz, Germany), Mo = full dose mRNA-1273 (100 µg) (Moderna, Massachusetts, MA, USA), HM = half dose mRNA-1273 (50 µg).
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Prediction of the level of anti-RBD IgG tested against the ancestral strain and the percentage of blocking between RBD and ACE-2 interaction against omicron based on the FRNT50 assay against SARS-CoV-2 omicron BA.1 and BA.2 variants using non-linear regression analysis. Sera samples from individuals with booster vaccination were tested with anti-RBD IgG against wild-type, sVNT against omicron, and FRNT50 against omicron BA.1 and BA.2. Predicted anti-RBD IgG level ( n = 310) was based on the FRNT50 titer against BA.1 (Panel ( a )) and BA.2 (Panel ( b )). Predicted sVNT level ( n = 218) was based on the FRNT50 against BA.1 (Panel ( c )) and BA.2 (Panel ( d )). The y axis represents log10 scale of anti-RBD IgG (BAU/mL). The x axis represents the log10 of FRNT50 titers. Dotted lines indicate 1.3 (the cut-off value of FRNT50 titer = 20) and 1.6 (the cut-off value of FRNT50 titer = 40). The arrows indicate the predicted level of anti-RBD IgG and percentage of inhibition from sVNT. Colored circles indicate the vaccine regimens for primary vaccine series+ booster vaccine. The r-square was calculated according to the non-linear equation using STATA <t>v.17.0</t> software. SV = CoronaVac (Sinovac, Beijing, China), AZ = AZD1222 (AstraZeneca, Oxford, UK), PF = BNT162b2 (Pfizer-BioNTech, Mainz, Germany), Mo = full dose mRNA-1273 (100 µg) (Moderna, Massachusetts, MA, USA), HM = half dose mRNA-1273 (50 µg).
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Genovis Inc adaptive convergence operator
Prediction of the level of anti-RBD IgG tested against the ancestral strain and the percentage of blocking between RBD and ACE-2 interaction against omicron based on the FRNT50 assay against SARS-CoV-2 omicron BA.1 and BA.2 variants using non-linear regression analysis. Sera samples from individuals with booster vaccination were tested with anti-RBD IgG against wild-type, sVNT against omicron, and FRNT50 against omicron BA.1 and BA.2. Predicted anti-RBD IgG level ( n = 310) was based on the FRNT50 titer against BA.1 (Panel ( a )) and BA.2 (Panel ( b )). Predicted sVNT level ( n = 218) was based on the FRNT50 against BA.1 (Panel ( c )) and BA.2 (Panel ( d )). The y axis represents log10 scale of anti-RBD IgG (BAU/mL). The x axis represents the log10 of FRNT50 titers. Dotted lines indicate 1.3 (the cut-off value of FRNT50 titer = 20) and 1.6 (the cut-off value of FRNT50 titer = 40). The arrows indicate the predicted level of anti-RBD IgG and percentage of inhibition from sVNT. Colored circles indicate the vaccine regimens for primary vaccine series+ booster vaccine. The r-square was calculated according to the non-linear equation using STATA <t>v.17.0</t> software. SV = CoronaVac (Sinovac, Beijing, China), AZ = AZD1222 (AstraZeneca, Oxford, UK), PF = BNT162b2 (Pfizer-BioNTech, Mainz, Germany), Mo = full dose mRNA-1273 (100 µg) (Moderna, Massachusetts, MA, USA), HM = half dose mRNA-1273 (50 µg).
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Image Search Results


LNP-circRNA characterization. A) Cryo-TEM image of LNP-circRNA. B) hEpo expression 24 hours after transfection of 293 cells with equimolar quantities of LNP-5moU-mRNA or unmodified LNP-circRNA (left) and hEpo expression stability over 3 days (right; data presented as mean+SD, n=3). C) RIG-I and IFN-β1 transcript induction 24 hours after transfection of A549 cells with LNP-5moU-mRNA or unmodified LNP-circRNA. TR: transfection reagent plus 200ng RNA (MessengerMax); LNP(1x): 200ng LNP-RNA; LNP(2x): 400ng LNP-RNA; L: 5moU-mRNA; C: circRNA (data presented as mean+SD, n=3, ns=not significant, p<0.05). D) SEAP expression 48 hours after transfection of TLR reporter cells with the RNAs indicated in c), relative to null controls (data presented as mean+SD, n=3). E) Serum hEpo expression 6 hours after injection of 1.5 picomoles of LNP-5moU-mRNA or unmodified LNP-circRNA into visceral adipose (data presented as mean+SD, n=5 Linear 5moU, Circular; n=3 Mock). F) Relative hEpo expression in serum over 42 hours after injection with LNP-RNAs (data presented as mean+SD, n=5 Linear 5moU, Circular; n=3 Mock; see also Figure S6).

Journal: Molecular cell

Article Title: RNA circularization diminishes immunogenicity and can extend translation duration in vivo

doi: 10.1016/j.molcel.2019.02.015

Figure Lengend Snippet: LNP-circRNA characterization. A) Cryo-TEM image of LNP-circRNA. B) hEpo expression 24 hours after transfection of 293 cells with equimolar quantities of LNP-5moU-mRNA or unmodified LNP-circRNA (left) and hEpo expression stability over 3 days (right; data presented as mean+SD, n=3). C) RIG-I and IFN-β1 transcript induction 24 hours after transfection of A549 cells with LNP-5moU-mRNA or unmodified LNP-circRNA. TR: transfection reagent plus 200ng RNA (MessengerMax); LNP(1x): 200ng LNP-RNA; LNP(2x): 400ng LNP-RNA; L: 5moU-mRNA; C: circRNA (data presented as mean+SD, n=3, ns=not significant, p<0.05). D) SEAP expression 48 hours after transfection of TLR reporter cells with the RNAs indicated in c), relative to null controls (data presented as mean+SD, n=3). E) Serum hEpo expression 6 hours after injection of 1.5 picomoles of LNP-5moU-mRNA or unmodified LNP-circRNA into visceral adipose (data presented as mean+SD, n=5 Linear 5moU, Circular; n=3 Mock). F) Relative hEpo expression in serum over 42 hours after injection with LNP-RNAs (data presented as mean+SD, n=5 Linear 5moU, Circular; n=3 Mock; see also Figure S6).

Article Snippet: RNA was then heated to 70°C for 3 minutes and immediately placed on ice for 2 minutes, after which linear RNA was capped using mRNA cap-2’-O-methyltransferase (NEB) and Vaccinia capping enzyme (NEB) according to the manufacturer’s instructions.

Techniques: Expressing, Transfection, Injection

Comparison of 2-DE patterns between untreated and treated HuCCA-1 cells with apigenin. (A and B) Illustrate the 2-DE patterns of untreated and treated cells with 200 µM apigenin. NL pH 3–10 Immobiline DryStrip gels were used. Gels were stained with Coomassie Brilliant Blue R-250. Proteins with different expressions are marked by arrows with numbers. Data presented are the representative of three totally different experiments. 2-DE, two-dimensional gel electrophoresis; NL, non-linear.

Journal: Oncology Letters

Article Title: Apigenin inhibits growth and induces apoptosis in human cholangiocarcinoma cells

doi: 10.3892/ol.2017.6705

Figure Lengend Snippet: Comparison of 2-DE patterns between untreated and treated HuCCA-1 cells with apigenin. (A and B) Illustrate the 2-DE patterns of untreated and treated cells with 200 µM apigenin. NL pH 3–10 Immobiline DryStrip gels were used. Gels were stained with Coomassie Brilliant Blue R-250. Proteins with different expressions are marked by arrows with numbers. Data presented are the representative of three totally different experiments. 2-DE, two-dimensional gel electrophoresis; NL, non-linear.

Article Snippet: Two-dimensional gel electrophoresis The samples were prepared by leaving them overnight in gel rehydration of nonlinear pH 3–10, 70-mm Immobiline DryStrip gels (IPG; GE Healthcare, Chalfont, UK).

Techniques: Staining, Two-Dimensional Gel Electrophoresis, Electrophoresis

Prediction of the level of anti-RBD IgG tested against the ancestral strain and the percentage of blocking between RBD and ACE-2 interaction against omicron based on the FRNT50 assay against SARS-CoV-2 omicron BA.1 and BA.2 variants using non-linear regression analysis. Sera samples from individuals with booster vaccination were tested with anti-RBD IgG against wild-type, sVNT against omicron, and FRNT50 against omicron BA.1 and BA.2. Predicted anti-RBD IgG level ( n = 310) was based on the FRNT50 titer against BA.1 (Panel ( a )) and BA.2 (Panel ( b )). Predicted sVNT level ( n = 218) was based on the FRNT50 against BA.1 (Panel ( c )) and BA.2 (Panel ( d )). The y axis represents log10 scale of anti-RBD IgG (BAU/mL). The x axis represents the log10 of FRNT50 titers. Dotted lines indicate 1.3 (the cut-off value of FRNT50 titer = 20) and 1.6 (the cut-off value of FRNT50 titer = 40). The arrows indicate the predicted level of anti-RBD IgG and percentage of inhibition from sVNT. Colored circles indicate the vaccine regimens for primary vaccine series+ booster vaccine. The r-square was calculated according to the non-linear equation using STATA v.17.0 software. SV = CoronaVac (Sinovac, Beijing, China), AZ = AZD1222 (AstraZeneca, Oxford, UK), PF = BNT162b2 (Pfizer-BioNTech, Mainz, Germany), Mo = full dose mRNA-1273 (100 µg) (Moderna, Massachusetts, MA, USA), HM = half dose mRNA-1273 (50 µg).

Journal: Diagnostics

Article Title: Strong Correlations between the Binding Antibodies against Wild-Type and Neutralizing Antibodies against Omicron BA.1 and BA.2 Variants of SARS-CoV-2 in Individuals Following Booster (Third-Dose) Vaccination

doi: 10.3390/diagnostics12081781

Figure Lengend Snippet: Prediction of the level of anti-RBD IgG tested against the ancestral strain and the percentage of blocking between RBD and ACE-2 interaction against omicron based on the FRNT50 assay against SARS-CoV-2 omicron BA.1 and BA.2 variants using non-linear regression analysis. Sera samples from individuals with booster vaccination were tested with anti-RBD IgG against wild-type, sVNT against omicron, and FRNT50 against omicron BA.1 and BA.2. Predicted anti-RBD IgG level ( n = 310) was based on the FRNT50 titer against BA.1 (Panel ( a )) and BA.2 (Panel ( b )). Predicted sVNT level ( n = 218) was based on the FRNT50 against BA.1 (Panel ( c )) and BA.2 (Panel ( d )). The y axis represents log10 scale of anti-RBD IgG (BAU/mL). The x axis represents the log10 of FRNT50 titers. Dotted lines indicate 1.3 (the cut-off value of FRNT50 titer = 20) and 1.6 (the cut-off value of FRNT50 titer = 40). The arrows indicate the predicted level of anti-RBD IgG and percentage of inhibition from sVNT. Colored circles indicate the vaccine regimens for primary vaccine series+ booster vaccine. The r-square was calculated according to the non-linear equation using STATA v.17.0 software. SV = CoronaVac (Sinovac, Beijing, China), AZ = AZD1222 (AstraZeneca, Oxford, UK), PF = BNT162b2 (Pfizer-BioNTech, Mainz, Germany), Mo = full dose mRNA-1273 (100 µg) (Moderna, Massachusetts, MA, USA), HM = half dose mRNA-1273 (50 µg).

Article Snippet: The r-square was calculated according to the non-linear equation using STATA v.17.0 software.

Techniques: Blocking Assay, Inhibition, Software