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  • 94
    Millipore analytes
    Theoretical simulation of the potential shifts of parameters in the qualitative analysis caused by the EOF change, (A ) Using migration times obtained for four different compounds (1–4) exhibiting different migration velocity. (B ) Using migration time and relative migration times obtained for one compound (4) and considering three different internal standards (IS, 1–3). The shifts were calculated as a relative change of the parameter upon the given EOF alteration. The inset graphics present schematic electropherogram and adding of vectors for the particular <t>analytes</t> (the initial electroosmotic mobility equals 100 and it varies +/− 10; electrophoretic mobilities are constant and they equal +20, 0, −20, −40 for the given analytes; the values were chosen arbitrarily to visualize the discussed phenomenon)
    Analytes, supplied by Millipore, used in various techniques. Bioz Stars score: 94/100, based on 686 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/analytes/product/Millipore
    Average 94 stars, based on 686 article reviews
    Price from $9.99 to $1999.99
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    93
    Becton Dickinson analyte
    Theoretical simulation of the potential shifts of parameters in the qualitative analysis caused by the EOF change, (A ) Using migration times obtained for four different compounds (1–4) exhibiting different migration velocity. (B ) Using migration time and relative migration times obtained for one compound (4) and considering three different internal standards (IS, 1–3). The shifts were calculated as a relative change of the parameter upon the given EOF alteration. The inset graphics present schematic electropherogram and adding of vectors for the particular <t>analytes</t> (the initial electroosmotic mobility equals 100 and it varies +/− 10; electrophoretic mobilities are constant and they equal +20, 0, −20, −40 for the given analytes; the values were chosen arbitrarily to visualize the discussed phenomenon)
    Analyte, supplied by Becton Dickinson, used in various techniques. Bioz Stars score: 93/100, based on 125 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/analyte/product/Becton Dickinson
    Average 93 stars, based on 125 article reviews
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    93
    Bio-Rad analytes
    Statistical model for analyte expression. ( a ) Two linear mixed-effects models in R-notation. Main fixed effects are Cytokine, 37 levels, Tissue, 4 levels, and Condition with 8 levels. ( b ) Gives the results of a statistical comparison of the reduced model against the global model. AIC Akaike’s Information Criterion, BIC Bayesian Information Criterion, and the smaller they are the better the model fit. Comparisons between reduced, ( c ), and global mixed-effects models ( d ) for selected <t>analytes</t> using regression conditional plots. Conditional plots show the relationship between the outcome and explanatory/conditional variables to be viewed as other effects are held constant. Note for the global model, ( d ), the cluster of points (residuals) around each conditional mean response (dark horizontal line) is tighter than that seen in the reduced model, ( c ). Both models contain the same number of samples per tissue. For brevity, only results for 9 of the 37 analytes are given, however, the same comparison but for all 37 analytes are given in Supplementary Fig. S2 . Since the conditional residuals are reasonably scattered above and below their respective means, implies that either model is a reasonable fit to the data.
    Analytes, supplied by Bio-Rad, used in various techniques. Bioz Stars score: 93/100, based on 257 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Average 93 stars, based on 257 article reviews
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    92
    Brains On-Line analytes
    Statistical model for analyte expression. ( a ) Two linear mixed-effects models in R-notation. Main fixed effects are Cytokine, 37 levels, Tissue, 4 levels, and Condition with 8 levels. ( b ) Gives the results of a statistical comparison of the reduced model against the global model. AIC Akaike’s Information Criterion, BIC Bayesian Information Criterion, and the smaller they are the better the model fit. Comparisons between reduced, ( c ), and global mixed-effects models ( d ) for selected <t>analytes</t> using regression conditional plots. Conditional plots show the relationship between the outcome and explanatory/conditional variables to be viewed as other effects are held constant. Note for the global model, ( d ), the cluster of points (residuals) around each conditional mean response (dark horizontal line) is tighter than that seen in the reduced model, ( c ). Both models contain the same number of samples per tissue. For brevity, only results for 9 of the 37 analytes are given, however, the same comparison but for all 37 analytes are given in Supplementary Fig. S2 . Since the conditional residuals are reasonably scattered above and below their respective means, implies that either model is a reasonable fit to the data.
    Analytes, supplied by Brains On-Line, used in various techniques. Bioz Stars score: 92/100, based on 4 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/analytes/product/Brains On-Line
    Average 92 stars, based on 4 article reviews
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    93
    Biopure Corporation analyte
    Statistical model for analyte expression. ( a ) Two linear mixed-effects models in R-notation. Main fixed effects are Cytokine, 37 levels, Tissue, 4 levels, and Condition with 8 levels. ( b ) Gives the results of a statistical comparison of the reduced model against the global model. AIC Akaike’s Information Criterion, BIC Bayesian Information Criterion, and the smaller they are the better the model fit. Comparisons between reduced, ( c ), and global mixed-effects models ( d ) for selected <t>analytes</t> using regression conditional plots. Conditional plots show the relationship between the outcome and explanatory/conditional variables to be viewed as other effects are held constant. Note for the global model, ( d ), the cluster of points (residuals) around each conditional mean response (dark horizontal line) is tighter than that seen in the reduced model, ( c ). Both models contain the same number of samples per tissue. For brevity, only results for 9 of the 37 analytes are given, however, the same comparison but for all 37 analytes are given in Supplementary Fig. S2 . Since the conditional residuals are reasonably scattered above and below their respective means, implies that either model is a reasonable fit to the data.
    Analyte, supplied by Biopure Corporation, used in various techniques. Bioz Stars score: 93/100, based on 2 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/analyte/product/Biopure Corporation
    Average 93 stars, based on 2 article reviews
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    92
    LINCO analytes
    Statistical model for analyte expression. ( a ) Two linear mixed-effects models in R-notation. Main fixed effects are Cytokine, 37 levels, Tissue, 4 levels, and Condition with 8 levels. ( b ) Gives the results of a statistical comparison of the reduced model against the global model. AIC Akaike’s Information Criterion, BIC Bayesian Information Criterion, and the smaller they are the better the model fit. Comparisons between reduced, ( c ), and global mixed-effects models ( d ) for selected <t>analytes</t> using regression conditional plots. Conditional plots show the relationship between the outcome and explanatory/conditional variables to be viewed as other effects are held constant. Note for the global model, ( d ), the cluster of points (residuals) around each conditional mean response (dark horizontal line) is tighter than that seen in the reduced model, ( c ). Both models contain the same number of samples per tissue. For brevity, only results for 9 of the 37 analytes are given, however, the same comparison but for all 37 analytes are given in Supplementary Fig. S2 . Since the conditional residuals are reasonably scattered above and below their respective means, implies that either model is a reasonable fit to the data.
    Analytes, supplied by LINCO, used in various techniques. Bioz Stars score: 92/100, based on 12 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/analytes/product/LINCO
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    93
    Meso Scale Diagnostics LLC analytes
    Statistical model for analyte expression. ( a ) Two linear mixed-effects models in R-notation. Main fixed effects are Cytokine, 37 levels, Tissue, 4 levels, and Condition with 8 levels. ( b ) Gives the results of a statistical comparison of the reduced model against the global model. AIC Akaike’s Information Criterion, BIC Bayesian Information Criterion, and the smaller they are the better the model fit. Comparisons between reduced, ( c ), and global mixed-effects models ( d ) for selected <t>analytes</t> using regression conditional plots. Conditional plots show the relationship between the outcome and explanatory/conditional variables to be viewed as other effects are held constant. Note for the global model, ( d ), the cluster of points (residuals) around each conditional mean response (dark horizontal line) is tighter than that seen in the reduced model, ( c ). Both models contain the same number of samples per tissue. For brevity, only results for 9 of the 37 analytes are given, however, the same comparison but for all 37 analytes are given in Supplementary Fig. S2 . Since the conditional residuals are reasonably scattered above and below their respective means, implies that either model is a reasonable fit to the data.
    Analytes, supplied by Meso Scale Diagnostics LLC, used in various techniques. Bioz Stars score: 93/100, based on 87 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/analytes/product/Meso Scale Diagnostics LLC
    Average 93 stars, based on 87 article reviews
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    92
    Toronto Research Chemicals analytes
    Statistical model for analyte expression. ( a ) Two linear mixed-effects models in R-notation. Main fixed effects are Cytokine, 37 levels, Tissue, 4 levels, and Condition with 8 levels. ( b ) Gives the results of a statistical comparison of the reduced model against the global model. AIC Akaike’s Information Criterion, BIC Bayesian Information Criterion, and the smaller they are the better the model fit. Comparisons between reduced, ( c ), and global mixed-effects models ( d ) for selected <t>analytes</t> using regression conditional plots. Conditional plots show the relationship between the outcome and explanatory/conditional variables to be viewed as other effects are held constant. Note for the global model, ( d ), the cluster of points (residuals) around each conditional mean response (dark horizontal line) is tighter than that seen in the reduced model, ( c ). Both models contain the same number of samples per tissue. For brevity, only results for 9 of the 37 analytes are given, however, the same comparison but for all 37 analytes are given in Supplementary Fig. S2 . Since the conditional residuals are reasonably scattered above and below their respective means, implies that either model is a reasonable fit to the data.
    Analytes, supplied by Toronto Research Chemicals, used in various techniques. Bioz Stars score: 92/100, based on 8 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/analytes/product/Toronto Research Chemicals
    Average 92 stars, based on 8 article reviews
    Price from $9.99 to $1999.99
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    92
    GE Healthcare analyte
    Statistical model for analyte expression. ( a ) Two linear mixed-effects models in R-notation. Main fixed effects are Cytokine, 37 levels, Tissue, 4 levels, and Condition with 8 levels. ( b ) Gives the results of a statistical comparison of the reduced model against the global model. AIC Akaike’s Information Criterion, BIC Bayesian Information Criterion, and the smaller they are the better the model fit. Comparisons between reduced, ( c ), and global mixed-effects models ( d ) for selected <t>analytes</t> using regression conditional plots. Conditional plots show the relationship between the outcome and explanatory/conditional variables to be viewed as other effects are held constant. Note for the global model, ( d ), the cluster of points (residuals) around each conditional mean response (dark horizontal line) is tighter than that seen in the reduced model, ( c ). Both models contain the same number of samples per tissue. For brevity, only results for 9 of the 37 analytes are given, however, the same comparison but for all 37 analytes are given in Supplementary Fig. S2 . Since the conditional residuals are reasonably scattered above and below their respective means, implies that either model is a reasonable fit to the data.
    Analyte, supplied by GE Healthcare, used in various techniques. Bioz Stars score: 92/100, based on 135 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/analyte/product/GE Healthcare
    Average 92 stars, based on 135 article reviews
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    92
    R&D Systems analyte
    Differential correlation analysis. The figure shows log 2 concentration (pg/ml) of IL-1β (left panel) and MIP1α (middle panel) as a function of gestational age at amniocentesis in patients with microbial-associated intra-amniotic inflammation (red) and those without intra-amniotic inflammation (black). A linear model was fit to the log 2 concentration of each <t>analyte</t> as a function of gestational age in each group and residuals were used to compute partial correlations between analytes (right panel). The partial correlation of residuals was positive and significant in the microbial-associated intra-amniotic inflammation group but negative and significant in patients without intra-amniotic inflammation, resulting in a significant differential correlation between groups.
    Analyte, supplied by R&D Systems, used in various techniques. Bioz Stars score: 92/100, based on 57 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/analyte/product/R&D Systems
    Average 92 stars, based on 57 article reviews
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    93
    Merck KGaA analytes
    Differential correlation analysis. The figure shows log 2 concentration (pg/ml) of IL-1β (left panel) and MIP1α (middle panel) as a function of gestational age at amniocentesis in patients with microbial-associated intra-amniotic inflammation (red) and those without intra-amniotic inflammation (black). A linear model was fit to the log 2 concentration of each <t>analyte</t> as a function of gestational age in each group and residuals were used to compute partial correlations between analytes (right panel). The partial correlation of residuals was positive and significant in the microbial-associated intra-amniotic inflammation group but negative and significant in patients without intra-amniotic inflammation, resulting in a significant differential correlation between groups.
    Analytes, supplied by Merck KGaA, used in various techniques. Bioz Stars score: 93/100, based on 102 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/analytes/product/Merck KGaA
    Average 93 stars, based on 102 article reviews
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    92
    SCIEX analytes
    Differential correlation analysis. The figure shows log 2 concentration (pg/ml) of IL-1β (left panel) and MIP1α (middle panel) as a function of gestational age at amniocentesis in patients with microbial-associated intra-amniotic inflammation (red) and those without intra-amniotic inflammation (black). A linear model was fit to the log 2 concentration of each <t>analyte</t> as a function of gestational age in each group and residuals were used to compute partial correlations between analytes (right panel). The partial correlation of residuals was positive and significant in the microbial-associated intra-amniotic inflammation group but negative and significant in patients without intra-amniotic inflammation, resulting in a significant differential correlation between groups.
    Analytes, supplied by SCIEX, used in various techniques. Bioz Stars score: 92/100, based on 746 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/analytes/product/SCIEX
    Average 92 stars, based on 746 article reviews
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    93
    Biacore analyte
    Differential correlation analysis. The figure shows log 2 concentration (pg/ml) of IL-1β (left panel) and MIP1α (middle panel) as a function of gestational age at amniocentesis in patients with microbial-associated intra-amniotic inflammation (red) and those without intra-amniotic inflammation (black). A linear model was fit to the log 2 concentration of each <t>analyte</t> as a function of gestational age in each group and residuals were used to compute partial correlations between analytes (right panel). The partial correlation of residuals was positive and significant in the microbial-associated intra-amniotic inflammation group but negative and significant in patients without intra-amniotic inflammation, resulting in a significant differential correlation between groups.
    Analyte, supplied by Biacore, used in various techniques. Bioz Stars score: 93/100, based on 399 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/analyte/product/Biacore
    Average 93 stars, based on 399 article reviews
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    90
    Cayman Chemical analytes
    Chemical structures of selected <t>analytes</t> and selected precursor and product m/z values with appropriate retention times, fragment voltages, and collision voltages used to identify and quantify analytes, using MRM with LC–MS/MS.
    Analytes, supplied by Cayman Chemical, used in various techniques. Bioz Stars score: 90/100, based on 42 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Average 90 stars, based on 42 article reviews
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    92
    Avanti Polar analytes
    Chemical structures of selected <t>analytes</t> and selected precursor and product m/z values with appropriate retention times, fragment voltages, and collision voltages used to identify and quantify analytes, using MRM with LC–MS/MS.
    Analytes, supplied by Avanti Polar, used in various techniques. Bioz Stars score: 92/100, based on 3 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    92
    BioTek Instruments analyte
    Chemical structures of selected <t>analytes</t> and selected precursor and product m/z values with appropriate retention times, fragment voltages, and collision voltages used to identify and quantify analytes, using MRM with LC–MS/MS.
    Analyte, supplied by BioTek Instruments, used in various techniques. Bioz Stars score: 92/100, based on 8 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/analyte/product/BioTek Instruments
    Average 92 stars, based on 8 article reviews
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    93
    Matreya LLC analyte
    Chemical structures of selected <t>analytes</t> and selected precursor and product m/z values with appropriate retention times, fragment voltages, and collision voltages used to identify and quantify analytes, using MRM with LC–MS/MS.
    Analyte, supplied by Matreya LLC, used in various techniques. Bioz Stars score: 93/100, based on 60 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/analyte/product/Matreya LLC
    Average 93 stars, based on 60 article reviews
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    analyte - by Bioz Stars, 2020-08
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    92
    CN Bio Innovations analytes
    Chemical structures of selected <t>analytes</t> and selected precursor and product m/z values with appropriate retention times, fragment voltages, and collision voltages used to identify and quantify analytes, using MRM with LC–MS/MS.
    Analytes, supplied by CN Bio Innovations, used in various techniques. Bioz Stars score: 92/100, based on 4 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/analytes/product/CN Bio Innovations
    Average 92 stars, based on 4 article reviews
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    92
    FUJIFILM analytes
    Chemical structures of selected <t>analytes</t> and selected precursor and product m/z values with appropriate retention times, fragment voltages, and collision voltages used to identify and quantify analytes, using MRM with LC–MS/MS.
    Analytes, supplied by FUJIFILM, used in various techniques. Bioz Stars score: 92/100, based on 17 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/analytes/product/FUJIFILM
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    92
    MZ Analysentechnik analytes
    Chemical structures of selected <t>analytes</t> and selected precursor and product m/z values with appropriate retention times, fragment voltages, and collision voltages used to identify and quantify analytes, using MRM with LC–MS/MS.
    Analytes, supplied by MZ Analysentechnik, used in various techniques. Bioz Stars score: 92/100, based on 5 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/analytes/product/MZ Analysentechnik
    Average 92 stars, based on 5 article reviews
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    92
    Restek Corporation analyte
    Chemical structures of selected <t>analytes</t> and selected precursor and product m/z values with appropriate retention times, fragment voltages, and collision voltages used to identify and quantify analytes, using MRM with LC–MS/MS.
    Analyte, supplied by Restek Corporation, used in various techniques. Bioz Stars score: 92/100, based on 14 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/analyte/product/Restek Corporation
    Average 92 stars, based on 14 article reviews
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    92
    Shimadzu Corporation analyte
    Chemical structures of selected <t>analytes</t> and selected precursor and product m/z values with appropriate retention times, fragment voltages, and collision voltages used to identify and quantify analytes, using MRM with LC–MS/MS.
    Analyte, supplied by Shimadzu Corporation, used in various techniques. Bioz Stars score: 92/100, based on 45 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    90
    Chromsystems Instruments analytes
    Chemical structures of selected <t>analytes</t> and selected precursor and product m/z values with appropriate retention times, fragment voltages, and collision voltages used to identify and quantify analytes, using MRM with LC–MS/MS.
    Analytes, supplied by Chromsystems Instruments, used in various techniques. Bioz Stars score: 90/100, based on 12 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    92
    Myriad RBM analytes
    Chemical structures of selected <t>analytes</t> and selected precursor and product m/z values with appropriate retention times, fragment voltages, and collision voltages used to identify and quantify analytes, using MRM with LC–MS/MS.
    Analytes, supplied by Myriad RBM, used in various techniques. Bioz Stars score: 92/100, based on 59 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Image Search Results


    Theoretical simulation of the potential shifts of parameters in the qualitative analysis caused by the EOF change, (A ) Using migration times obtained for four different compounds (1–4) exhibiting different migration velocity. (B ) Using migration time and relative migration times obtained for one compound (4) and considering three different internal standards (IS, 1–3). The shifts were calculated as a relative change of the parameter upon the given EOF alteration. The inset graphics present schematic electropherogram and adding of vectors for the particular analytes (the initial electroosmotic mobility equals 100 and it varies +/− 10; electrophoretic mobilities are constant and they equal +20, 0, −20, −40 for the given analytes; the values were chosen arbitrarily to visualize the discussed phenomenon)

    Journal: Analytical and Bioanalytical Chemistry

    Article Title: Improving repeatability of capillary electrophoresis—a critical comparison of ten different capillary inner surfaces and three criteria of peak identification

    doi: 10.1007/s00216-017-0382-y

    Figure Lengend Snippet: Theoretical simulation of the potential shifts of parameters in the qualitative analysis caused by the EOF change, (A ) Using migration times obtained for four different compounds (1–4) exhibiting different migration velocity. (B ) Using migration time and relative migration times obtained for one compound (4) and considering three different internal standards (IS, 1–3). The shifts were calculated as a relative change of the parameter upon the given EOF alteration. The inset graphics present schematic electropherogram and adding of vectors for the particular analytes (the initial electroosmotic mobility equals 100 and it varies +/− 10; electrophoretic mobilities are constant and they equal +20, 0, −20, −40 for the given analytes; the values were chosen arbitrarily to visualize the discussed phenomenon)

    Article Snippet: All analytes were supplied by Sigma-Aldrich (St. Louis, MO, USA).

    Techniques: Migration

    The average values of electroosmotic mobility obtained for various capillaries, using the sample containing all analytes on the highest analyte concentration level (500 μg × mL −1 )

    Journal: Analytical and Bioanalytical Chemistry

    Article Title: Improving repeatability of capillary electrophoresis—a critical comparison of ten different capillary inner surfaces and three criteria of peak identification

    doi: 10.1007/s00216-017-0382-y

    Figure Lengend Snippet: The average values of electroosmotic mobility obtained for various capillaries, using the sample containing all analytes on the highest analyte concentration level (500 μg × mL −1 )

    Article Snippet: All analytes were supplied by Sigma-Aldrich (St. Louis, MO, USA).

    Techniques: Concentration Assay

    Statistical model for analyte expression. ( a ) Two linear mixed-effects models in R-notation. Main fixed effects are Cytokine, 37 levels, Tissue, 4 levels, and Condition with 8 levels. ( b ) Gives the results of a statistical comparison of the reduced model against the global model. AIC Akaike’s Information Criterion, BIC Bayesian Information Criterion, and the smaller they are the better the model fit. Comparisons between reduced, ( c ), and global mixed-effects models ( d ) for selected analytes using regression conditional plots. Conditional plots show the relationship between the outcome and explanatory/conditional variables to be viewed as other effects are held constant. Note for the global model, ( d ), the cluster of points (residuals) around each conditional mean response (dark horizontal line) is tighter than that seen in the reduced model, ( c ). Both models contain the same number of samples per tissue. For brevity, only results for 9 of the 37 analytes are given, however, the same comparison but for all 37 analytes are given in Supplementary Fig. S2 . Since the conditional residuals are reasonably scattered above and below their respective means, implies that either model is a reasonable fit to the data.

    Journal: Scientific Reports

    Article Title: The Statistical Value of Raw Fluorescence Signal in Luminex xMAP Based Multiplex Immunoassays

    doi: 10.1038/srep26996

    Figure Lengend Snippet: Statistical model for analyte expression. ( a ) Two linear mixed-effects models in R-notation. Main fixed effects are Cytokine, 37 levels, Tissue, 4 levels, and Condition with 8 levels. ( b ) Gives the results of a statistical comparison of the reduced model against the global model. AIC Akaike’s Information Criterion, BIC Bayesian Information Criterion, and the smaller they are the better the model fit. Comparisons between reduced, ( c ), and global mixed-effects models ( d ) for selected analytes using regression conditional plots. Conditional plots show the relationship between the outcome and explanatory/conditional variables to be viewed as other effects are held constant. Note for the global model, ( d ), the cluster of points (residuals) around each conditional mean response (dark horizontal line) is tighter than that seen in the reduced model, ( c ). Both models contain the same number of samples per tissue. For brevity, only results for 9 of the 37 analytes are given, however, the same comparison but for all 37 analytes are given in Supplementary Fig. S2 . Since the conditional residuals are reasonably scattered above and below their respective means, implies that either model is a reasonable fit to the data.

    Article Snippet: The fluorescence responses and concentrations of analytes were obtained using a Bio-Plex Pro™ Human Inflammation Panel 37-Plex assay kit with magnetic beads (171AL1001M, Bio-Rad, Hercules, California, USA) and analysed with a Luminex100 system and the accompanying Bio-Plex ManagerTM Software 6.1(Bio-Rad, Hercules, California, USA).

    Techniques: Expressing

    Fluorescence LOD analysis. ( a ) Tissue test sample analyte fluorescence distributions against the associated standards (S1, …, S8) and blanks (B). Standards represent the fluorescence responses obtained from a set of standards of known concentrations for each analyte under investigation. The blank represents the test kits fluorescence response when its target analyte is missing. The background matrix used for the standards and blanks is typically, and as here is, the assay’s diluent. ( b ) Tissue fluorescence scatterplots for 4 analytes. The dashed horizontal line in each plot in ( b ) is the threshold (censor) determined by Bio-Rad’s Manager Software as the lower limit of detection. ( c ) Box plot Log2 distributions for the fluorescence response coefficient of variation (CV) above (A) and below (B) the associated LOD. The log of the values is used because there are two large outliers in the above (A) distribution. ( d ) The log2 of the rank differences as a function of rank; that is: rank . diff ( r ) = Fl ( r + 1) − Fl ( r ); where r is a rank , an integer value, from the set: r ∈{1,…, n−1 }, and where n is the number of ranks in the set 1:n . Rank assigns to each unique fluorescence response an ordering from lowest to highest response such that Fl ( rank )

    Journal: Scientific Reports

    Article Title: The Statistical Value of Raw Fluorescence Signal in Luminex xMAP Based Multiplex Immunoassays

    doi: 10.1038/srep26996

    Figure Lengend Snippet: Fluorescence LOD analysis. ( a ) Tissue test sample analyte fluorescence distributions against the associated standards (S1, …, S8) and blanks (B). Standards represent the fluorescence responses obtained from a set of standards of known concentrations for each analyte under investigation. The blank represents the test kits fluorescence response when its target analyte is missing. The background matrix used for the standards and blanks is typically, and as here is, the assay’s diluent. ( b ) Tissue fluorescence scatterplots for 4 analytes. The dashed horizontal line in each plot in ( b ) is the threshold (censor) determined by Bio-Rad’s Manager Software as the lower limit of detection. ( c ) Box plot Log2 distributions for the fluorescence response coefficient of variation (CV) above (A) and below (B) the associated LOD. The log of the values is used because there are two large outliers in the above (A) distribution. ( d ) The log2 of the rank differences as a function of rank; that is: rank . diff ( r ) = Fl ( r + 1) − Fl ( r ); where r is a rank , an integer value, from the set: r ∈{1,…, n−1 }, and where n is the number of ranks in the set 1:n . Rank assigns to each unique fluorescence response an ordering from lowest to highest response such that Fl ( rank )

    Article Snippet: The fluorescence responses and concentrations of analytes were obtained using a Bio-Plex Pro™ Human Inflammation Panel 37-Plex assay kit with magnetic beads (171AL1001M, Bio-Rad, Hercules, California, USA) and analysed with a Luminex100 system and the accompanying Bio-Plex ManagerTM Software 6.1(Bio-Rad, Hercules, California, USA).

    Techniques: Fluorescence, Software

    Comparison of analyte expression fluorescence and concentration levels. Adjusted means obtained for selected analytes from the global mixed-effects models. ( a ) Analyte means adjusted for condition, plate and patient differences across tissue. ( b ) Analyte means adjusted for tissue, plate and patient differences across conditions: Normal and T2D (Type 2 Diabetes). Error bars represent 95% confidence.

    Journal: Scientific Reports

    Article Title: The Statistical Value of Raw Fluorescence Signal in Luminex xMAP Based Multiplex Immunoassays

    doi: 10.1038/srep26996

    Figure Lengend Snippet: Comparison of analyte expression fluorescence and concentration levels. Adjusted means obtained for selected analytes from the global mixed-effects models. ( a ) Analyte means adjusted for condition, plate and patient differences across tissue. ( b ) Analyte means adjusted for tissue, plate and patient differences across conditions: Normal and T2D (Type 2 Diabetes). Error bars represent 95% confidence.

    Article Snippet: The fluorescence responses and concentrations of analytes were obtained using a Bio-Plex Pro™ Human Inflammation Panel 37-Plex assay kit with magnetic beads (171AL1001M, Bio-Rad, Hercules, California, USA) and analysed with a Luminex100 system and the accompanying Bio-Plex ManagerTM Software 6.1(Bio-Rad, Hercules, California, USA).

    Techniques: Expressing, Fluorescence, Concentration Assay

    Differential correlation analysis. The figure shows log 2 concentration (pg/ml) of IL-1β (left panel) and MIP1α (middle panel) as a function of gestational age at amniocentesis in patients with microbial-associated intra-amniotic inflammation (red) and those without intra-amniotic inflammation (black). A linear model was fit to the log 2 concentration of each analyte as a function of gestational age in each group and residuals were used to compute partial correlations between analytes (right panel). The partial correlation of residuals was positive and significant in the microbial-associated intra-amniotic inflammation group but negative and significant in patients without intra-amniotic inflammation, resulting in a significant differential correlation between groups.

    Journal: American journal of obstetrics and gynecology

    Article Title: Evidence of Perturbations of the Cytokine Network in Preterm Labor

    doi: 10.1016/j.ajog.2015.07.037

    Figure Lengend Snippet: Differential correlation analysis. The figure shows log 2 concentration (pg/ml) of IL-1β (left panel) and MIP1α (middle panel) as a function of gestational age at amniocentesis in patients with microbial-associated intra-amniotic inflammation (red) and those without intra-amniotic inflammation (black). A linear model was fit to the log 2 concentration of each analyte as a function of gestational age in each group and residuals were used to compute partial correlations between analytes (right panel). The partial correlation of residuals was positive and significant in the microbial-associated intra-amniotic inflammation group but negative and significant in patients without intra-amniotic inflammation, resulting in a significant differential correlation between groups.

    Article Snippet: The standards for each analyte were purchased from R & D systems [with the exception of Calgranulin A (USBiological, Massachusetts), HGMB-1 and Lactoferrin (Abcam, Massachusetts)], and resuspended at concentrations ranging from 50 μg/ml to 8 ng/ml and diluted serially 1:3 to generate standard curves.

    Techniques: Concentration Assay

    Chemical structures of selected analytes and selected precursor and product m/z values with appropriate retention times, fragment voltages, and collision voltages used to identify and quantify analytes, using MRM with LC–MS/MS.

    Journal: Analytical biochemistry

    Article Title: Quantitative LC-MS/MS analysis of arachidonoyl amino acids in mouse brain with treatment of FAAH inhibitor

    doi: 10.1016/j.ab.2012.09.031

    Figure Lengend Snippet: Chemical structures of selected analytes and selected precursor and product m/z values with appropriate retention times, fragment voltages, and collision voltages used to identify and quantify analytes, using MRM with LC–MS/MS.

    Article Snippet: All the standards of the analytes were obtained from Cayman Chemical (Ann Arbor, MI, USA).

    Techniques: Liquid Chromatography with Mass Spectroscopy, Mass Spectrometry

    Representative MRM chromatograms of the analytes detected in mouse brain and corresponding synthetic standards. (A) All analyte standards, 12 pg of each arachidonoyl amino acid, 20 pg of AEA-d 0 /d 8 , 300 pg of 2-AG, and 50 pg of NAGly-d 8 on column. (B)

    Journal: Analytical biochemistry

    Article Title: Quantitative LC-MS/MS analysis of arachidonoyl amino acids in mouse brain with treatment of FAAH inhibitor

    doi: 10.1016/j.ab.2012.09.031

    Figure Lengend Snippet: Representative MRM chromatograms of the analytes detected in mouse brain and corresponding synthetic standards. (A) All analyte standards, 12 pg of each arachidonoyl amino acid, 20 pg of AEA-d 0 /d 8 , 300 pg of 2-AG, and 50 pg of NAGly-d 8 on column. (B)

    Article Snippet: All the standards of the analytes were obtained from Cayman Chemical (Ann Arbor, MI, USA).

    Techniques: