Protein Biomarker Quantification
Protein Biomarker Quantification - Related Videos
07:32
A Capillary Electrophoresis Immunoassay for Protein Biomarker Detection
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2025
This video demonstrates a capillary electrophoresis immunoassay protocol for detecting a protein biomarker associated with amyotrophic lateral sclerosis (ALS) from human blood platelets. Confirmation of the presence of the ALS biomarker protein is achieved through size-based separation of the platelet proteins followed by chemiluminescent detection.
08:29
Biomarkers in an Animal Model for Revealing Neural, Hematologic, and Behavioral Correlates of PTSD
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Cited by 29 •
2012
We describe a rat model of post traumatic stress disorder (PTSD) that reveals the persistent alterations in neuroendocrine function and the delayed long-term, exaggerated fear response, characteristic of PTSD patients. The animal model and methods described here are useful for correlating biomarkers in brain nuclei, which are mechanistic but cannot be measured in patients, with biomarkers in peripheral white blood cells, which can.
12:52
Iridium(III) Luminescent Probe for Detection of the Malarial Protein Biomarker Histidine Rich Protein-II
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Cited by 4 •
2015
Robust detection reagents are of increasing necessity for developing new malaria diagnostic tools. An iridium(III) probe was designed that emits long-lasting luminescent signal in the presence of a histidine-rich malarial protein biomarker. Detection of the protein either in solution or immobilized on a magnetic particle affords flexibility in application.
08:57
Peptide and Protein Quantification Using Automated Immuno-MALDI (iMALDI)
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Cited by 13 •
2017
A protocol for the protein quantification in complex biological fluids using automated immuno-MALDI (iMALDI) technology is presented.
13:00
Low Molecular Weight Protein Enrichment on Mesoporous Silica Thin Films for Biomarker Discovery
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Cited by 11 •
2012
We developed a technology based on mesoporous silica thin film for the selective recovery of low molecular weight proteins and peptides from human serum. The physico-chemical properties of our mesoporous chips were finely tuned to provide substantial control in peptide enrichment and consequently profile the serum proteome for diagnostic purposes.
FAQs
Calibration standards provide known reference amounts that allow signal intensity to be converted into protein concentration. In mass spectrometry, internal standards help relate the target signal to a controlled reference during measurement. These references make results interpretable across samples and help distinguish genuine differences in protein abundance from changes caused by measurement conditions.
Specificity helps ensure that the measured signal represents the intended target protein rather than other components in the sample. Sensitivity determines whether the method can detect relevant protein amounts. Both properties affect confidence in comparisons among blood, tissue, or cell lysate samples, especially when biological differences may be small.
Controls help identify technical variation that could otherwise be mistaken for a biological change. Including appropriate controls supports evaluation of assay performance, sample preparation, and measurement consistency. This is important when comparing groups, tracking disease progression, or assessing treatment response because reproducible results are needed to support biological interpretation.
A typical workflow begins with collecting and preparing the biological sample, followed by detecting the target protein with an antibody-based immunoassay or mass spectrometry. The resulting signal is interpreted using calibration standards or internal standards, then evaluated with controls. Careful preparation and consistent measurement conditions improve the reliability of the final concentration estimates.
Researchers may use it to validate candidate biomarkers, classify disease, monitor disease progression, or evaluate therapeutic effects. The choice depends on the biological question and the available sample, which may include blood, tissue, or cell lysates. Quantitative results can connect changes in protein abundance with physiological state, disease status, or response to treatment.
Researchers compare measured protein abundance using standardized references, appropriate controls, and consistent sample preparation. If a signal changes across samples, these practices help determine whether the difference reflects altered biology or an assay-related effect. This distinction strengthens conclusions about normal physiology, disease-related changes, and treatment effects while improving reproducibility across studies.