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Diagnosticum Inc custom microarray services
Simultaneous titration of antigen density and serum antibody. Steps of the technology, starting with <t>microarray</t> fabrication and measurement, through image analysis to curve fitting and visualization of results are shown. Serum dilution is indicated by red drops, antigen density differences are represented by shades of blue circles. Several binding curves are transformed into one by fitting data with generalized logistic curves, yielding two parameters, x i and d, which characterize thermodynamic activity distribution of serum antibodies. Affinity is related to x i , the point of inflection; antibody heterogeneity is related to d, the asymmetry parameter. The slope at infinity “s” of the curve in the lower left corner is given by the equation shown.
Custom Microarray Services, supplied by Diagnosticum Inc, 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/custom microarray services/product/Diagnosticum Inc
Average 90 stars, based on 1 article reviews
custom microarray services - by Bioz Stars, 2026-06
90/100 stars

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1) Product Images from "Absolute Quantitation of Serum Antibody Reactivity Using the Richards Growth Model for Antigen Microspot Titration"

Article Title: Absolute Quantitation of Serum Antibody Reactivity Using the Richards Growth Model for Antigen Microspot Titration

Journal: Sensors (Basel, Switzerland)

doi: 10.3390/s22103962

Simultaneous titration of antigen density and serum antibody. Steps of the technology, starting with microarray fabrication and measurement, through image analysis to curve fitting and visualization of results are shown. Serum dilution is indicated by red drops, antigen density differences are represented by shades of blue circles. Several binding curves are transformed into one by fitting data with generalized logistic curves, yielding two parameters, x i and d, which characterize thermodynamic activity distribution of serum antibodies. Affinity is related to x i , the point of inflection; antibody heterogeneity is related to d, the asymmetry parameter. The slope at infinity “s” of the curve in the lower left corner is given by the equation shown.
Figure Legend Snippet: Simultaneous titration of antigen density and serum antibody. Steps of the technology, starting with microarray fabrication and measurement, through image analysis to curve fitting and visualization of results are shown. Serum dilution is indicated by red drops, antigen density differences are represented by shades of blue circles. Several binding curves are transformed into one by fitting data with generalized logistic curves, yielding two parameters, x i and d, which characterize thermodynamic activity distribution of serum antibodies. Affinity is related to x i , the point of inflection; antibody heterogeneity is related to d, the asymmetry parameter. The slope at infinity “s” of the curve in the lower left corner is given by the equation shown.

Techniques Used: Titration, Microarray, Binding Assay, Transformation Assay, Activity Assay



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A) Schematic representation of the daily distribution of metabolic processes resulting from the transcriptional signature of several differentially expressed genes throughout the 24-hour cycle. The different metabolic processes are indicated by gradiently colored arrows showing the time of the day corresponding to the higher expression levels of gene groups. The lengths of the arrows and darker colors indicate, respectively, intervals and peaks of expression. Local times are indicated at the bottom of the figure where an indicative representation of light intensity is also shown. The breakdown of energy-yielding nutrients (glycolysis, the Krebs cycle and the electron transport chain) and energy storage pathways (glycogen synthesis and fatty acid synthesis) are specifically activated in the early morning, while glycogen mobilization, gluconeogenesis and fatty acids catabolism are used as a stored energy source in the evening and throughout the night. B) Gene expression profiles of transcripts involved in energetic and metabolic processes are represented. The color of each gene corresponds to the metabolic process in which it is involved. Dashed lines indicate differentially expressed genes identified by a one-way ANOVA test, while solid lines represent differentially expressed genes characterized by a sinusoidal expression patterns detected by CircWaveBatch analysis. <t>Microarray</t> expression values are represented as log 2 mean ± standard deviation. Genes are represented with the following abbreviations: fructose 1,6-bisphosphatase ( FB ), glyceraldehyde-3-phosphate dehydrogenase ( GPD ), pyruvate kinase ( PK ), 6-phosphofructokinase ( 6P ), citrate synthase ( CS ), ATP synthase b ( ATP ), succinate dehydrogenase type C ( SD ), isocitrate dehydrogenase [NAD] subunit beta mitochondrial ( ID ), Acetyl-CoA acetyltransferase ( ACA ), short-chain specific acyl-CoA dehydrogenase ( ACD ), Acetyl-CoA carboxylase ( ACC ), ATP citrate lyase subunit beta ( ACL ), glycogen debranching enzyme-like ( GDE ), glycogen synthase ( GS ), and Glycogenin-1 ( G ).
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Simultaneous titration of antigen density and serum antibody. Steps of the technology, starting with <t>microarray</t> fabrication and measurement, through image analysis to curve fitting and visualization of results are shown. Serum dilution is indicated by red drops, antigen density differences are represented by shades of blue circles. Several binding curves are transformed into one by fitting data with generalized logistic curves, yielding two parameters, x i and d, which characterize thermodynamic activity distribution of serum antibodies. Affinity is related to x i , the point of inflection; antibody heterogeneity is related to d, the asymmetry parameter. The slope at infinity “s” of the curve in the lower left corner is given by the equation shown.
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Characteristics of serum-extracted EVs. A) Comparison of the sizes of EVs extracted from young murine serum by the ExoQuick reagent pretreated with and without using 0.2-μm filters. B) Morphology of EVs from young murine serum used in this project for rejuvenation of inflammaging, photographed by atomic force microscopy (AFM). C, D) Different <t>miRNA</t> expression profiles in heatmap (C) and quantified summary (D) of EVs from young vs. old murine serum, analyzed by murine miRNA <t>microarray</t> with Mus musculus miRBase version-21 arrays that contained 1900 unique mature miRNA probes (miRNA microarray service via LC Sciences).
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Characteristics of serum-extracted EVs. A) Comparison of the sizes of EVs extracted from young murine serum by the ExoQuick reagent pretreated with and without using 0.2-μm filters. B) Morphology of EVs from young murine serum used in this project for rejuvenation of inflammaging, photographed by atomic force microscopy (AFM). C, D) Different <t>miRNA</t> expression profiles in heatmap (C) and quantified summary (D) of EVs from young vs. old murine serum, analyzed by murine miRNA <t>microarray</t> with Mus musculus miRBase version-21 arrays that contained 1900 unique mature miRNA probes (miRNA microarray service via LC Sciences).
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Image Search Results


A) Schematic representation of the daily distribution of metabolic processes resulting from the transcriptional signature of several differentially expressed genes throughout the 24-hour cycle. The different metabolic processes are indicated by gradiently colored arrows showing the time of the day corresponding to the higher expression levels of gene groups. The lengths of the arrows and darker colors indicate, respectively, intervals and peaks of expression. Local times are indicated at the bottom of the figure where an indicative representation of light intensity is also shown. The breakdown of energy-yielding nutrients (glycolysis, the Krebs cycle and the electron transport chain) and energy storage pathways (glycogen synthesis and fatty acid synthesis) are specifically activated in the early morning, while glycogen mobilization, gluconeogenesis and fatty acids catabolism are used as a stored energy source in the evening and throughout the night. B) Gene expression profiles of transcripts involved in energetic and metabolic processes are represented. The color of each gene corresponds to the metabolic process in which it is involved. Dashed lines indicate differentially expressed genes identified by a one-way ANOVA test, while solid lines represent differentially expressed genes characterized by a sinusoidal expression patterns detected by CircWaveBatch analysis. Microarray expression values are represented as log 2 mean ± standard deviation. Genes are represented with the following abbreviations: fructose 1,6-bisphosphatase ( FB ), glyceraldehyde-3-phosphate dehydrogenase ( GPD ), pyruvate kinase ( PK ), 6-phosphofructokinase ( 6P ), citrate synthase ( CS ), ATP synthase b ( ATP ), succinate dehydrogenase type C ( SD ), isocitrate dehydrogenase [NAD] subunit beta mitochondrial ( ID ), Acetyl-CoA acetyltransferase ( ACA ), short-chain specific acyl-CoA dehydrogenase ( ACD ), Acetyl-CoA carboxylase ( ACC ), ATP citrate lyase subunit beta ( ACL ), glycogen debranching enzyme-like ( GDE ), glycogen synthase ( GS ), and Glycogenin-1 ( G ).

Journal: PLoS ONE

Article Title: The Antarctic Krill Euphausia superba Shows Diurnal Cycles of Transcription under Natural Conditions

doi: 10.1371/journal.pone.0068652

Figure Lengend Snippet: A) Schematic representation of the daily distribution of metabolic processes resulting from the transcriptional signature of several differentially expressed genes throughout the 24-hour cycle. The different metabolic processes are indicated by gradiently colored arrows showing the time of the day corresponding to the higher expression levels of gene groups. The lengths of the arrows and darker colors indicate, respectively, intervals and peaks of expression. Local times are indicated at the bottom of the figure where an indicative representation of light intensity is also shown. The breakdown of energy-yielding nutrients (glycolysis, the Krebs cycle and the electron transport chain) and energy storage pathways (glycogen synthesis and fatty acid synthesis) are specifically activated in the early morning, while glycogen mobilization, gluconeogenesis and fatty acids catabolism are used as a stored energy source in the evening and throughout the night. B) Gene expression profiles of transcripts involved in energetic and metabolic processes are represented. The color of each gene corresponds to the metabolic process in which it is involved. Dashed lines indicate differentially expressed genes identified by a one-way ANOVA test, while solid lines represent differentially expressed genes characterized by a sinusoidal expression patterns detected by CircWaveBatch analysis. Microarray expression values are represented as log 2 mean ± standard deviation. Genes are represented with the following abbreviations: fructose 1,6-bisphosphatase ( FB ), glyceraldehyde-3-phosphate dehydrogenase ( GPD ), pyruvate kinase ( PK ), 6-phosphofructokinase ( 6P ), citrate synthase ( CS ), ATP synthase b ( ATP ), succinate dehydrogenase type C ( SD ), isocitrate dehydrogenase [NAD] subunit beta mitochondrial ( ID ), Acetyl-CoA acetyltransferase ( ACA ), short-chain specific acyl-CoA dehydrogenase ( ACD ), Acetyl-CoA carboxylase ( ACC ), ATP citrate lyase subunit beta ( ACL ), glycogen debranching enzyme-like ( GDE ), glycogen synthase ( GS ), and Glycogenin-1 ( G ).

Article Snippet: Probes were designed using the Agilent eArray Custom Microarray Design Service ( https://earray.chem.agilent.com/earray/index.jsp ), which applies proprietary prediction algorithms to design 60 mer oligo-probes.

Techniques: Expressing, Microarray, Standard Deviation

Simultaneous titration of antigen density and serum antibody. Steps of the technology, starting with microarray fabrication and measurement, through image analysis to curve fitting and visualization of results are shown. Serum dilution is indicated by red drops, antigen density differences are represented by shades of blue circles. Several binding curves are transformed into one by fitting data with generalized logistic curves, yielding two parameters, x i and d, which characterize thermodynamic activity distribution of serum antibodies. Affinity is related to x i , the point of inflection; antibody heterogeneity is related to d, the asymmetry parameter. The slope at infinity “s” of the curve in the lower left corner is given by the equation shown.

Journal: Sensors (Basel, Switzerland)

Article Title: Absolute Quantitation of Serum Antibody Reactivity Using the Richards Growth Model for Antigen Microspot Titration

doi: 10.3390/s22103962

Figure Lengend Snippet: Simultaneous titration of antigen density and serum antibody. Steps of the technology, starting with microarray fabrication and measurement, through image analysis to curve fitting and visualization of results are shown. Serum dilution is indicated by red drops, antigen density differences are represented by shades of blue circles. Several binding curves are transformed into one by fitting data with generalized logistic curves, yielding two parameters, x i and d, which characterize thermodynamic activity distribution of serum antibodies. Affinity is related to x i , the point of inflection; antibody heterogeneity is related to d, the asymmetry parameter. The slope at infinity “s” of the curve in the lower left corner is given by the equation shown.

Article Snippet: K.P., Z.H. and J.P. are employed by Diagnosticum Zrt, a company that provides custom microarray services.

Techniques: Titration, Microarray, Binding Assay, Transformation Assay, Activity Assay

Characteristics of serum-extracted EVs. A) Comparison of the sizes of EVs extracted from young murine serum by the ExoQuick reagent pretreated with and without using 0.2-μm filters. B) Morphology of EVs from young murine serum used in this project for rejuvenation of inflammaging, photographed by atomic force microscopy (AFM). C, D) Different miRNA expression profiles in heatmap (C) and quantified summary (D) of EVs from young vs. old murine serum, analyzed by murine miRNA microarray with Mus musculus miRBase version-21 arrays that contained 1900 unique mature miRNA probes (miRNA microarray service via LC Sciences).

Journal: The FASEB Journal

Article Title: Extracellular vesicles extracted from young donor serum attenuate inflammaging via partially rejuvenating aged T-cell immunotolerance

doi: 10.1096/fj.201800059R

Figure Lengend Snippet: Characteristics of serum-extracted EVs. A) Comparison of the sizes of EVs extracted from young murine serum by the ExoQuick reagent pretreated with and without using 0.2-μm filters. B) Morphology of EVs from young murine serum used in this project for rejuvenation of inflammaging, photographed by atomic force microscopy (AFM). C, D) Different miRNA expression profiles in heatmap (C) and quantified summary (D) of EVs from young vs. old murine serum, analyzed by murine miRNA microarray with Mus musculus miRBase version-21 arrays that contained 1900 unique mature miRNA probes (miRNA microarray service via LC Sciences).

Article Snippet: Then, 1–3 μg of total RNAs for each sample were used for customized miRNA microarray service from LC Sciences (Houston, TX, USA).

Techniques: Comparison, Microscopy, Expressing, Microarray