Sandwich Assay Format
Sandwich Assay Format - Related Videos
14:22
ELISA Assays: Indirect, Sandwich, and Competitive
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2023
Source: Whitney Swanson1,2, Frances V. Sjaastad2,3, and Thomas S. Griffith1,2,3,4 1 Department of Urology, University of Minnesota, Minneapolis, MN 55455 2 Center for Immunology, University of Minnesota, Minneapolis, MN 55455 3 Microbiology, Immunology, and Cancer Biology Graduate Program, University of Minnesota, Minneapolis, MN 55455 4 Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455 Enzyme-linked immunosorbent assay (ELISA) is frequently used to measure the presence...
06:50
Sandwich-like Microenvironments to Harness Cell/Material Interactions
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Cited by 3 •
2015
The following protocol describes the procedure to assemble sandwich-like cultures to be used as an intermediate stage between bi-dimensional (2D) and three-dimensional (3D) cellular environments. The engineered systems can have applications in microscopy, biomechanics, biochemistry and cell biology assays.
10:12
Isolation and 3D Collagen Sandwich Culture of Primary Mouse Hepatocytes to Study the Role of Cytoskeleton in Bile Canalicular Formation In Vitro
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Cited by 15 •
2019
Presented here is a protocol for the isolation of mouse hepatocytes from adult mouse livers using a modified collagenase perfusion technique. Also described is the long-term culture of hepatocytes in a 3D collagen sandwich setting as well as immunolabeling of the cytoskeletal components to study bile canalicular formation and its response to treatment.
08:01
The Soft Agar Colony Formation Assay
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Cited by 543 •
2014
The soft agar colony formation assay is a method used to confirm cellular anchorage-independent growth in vitro. The goal of this protocol is to illustrate a stringent method for the detection of the tumorigenic potential of transformed cells and the tumor suppressive effects of proteins on transformed cells.
11:12
Assay Development for High Content Quantification of Sod1 Mutant Protein Aggregate Formation in Living Cells
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Cited by 1 •
2017
We describe a method to quantify the aggregation of misfolded proteins. Our protocol details lentiviral induced stable cell line generation, automated confocal imaging, and image analysis of protein aggregates. As an illustrative application, we studied the effect of small molecules in promoting SOD1 aggregation in a time- and dose-dependent manner.
FAQs
Specificity arises because the target must interact with two complementary recognition molecules at different sites. The capture antibody first retains the analyte, while the detection antibody recognizes another site before signal generation. This paired-recognition arrangement helps distinguish the intended protein, hormone, or biomarker from other components present in a complex sample.
The second antibody confirms that the captured material contains the intended analyte by attaching to a separate recognition site. It also carries or supports the label that produces the measurable signal. Because detection depends on both capture and recognition events, the second antibody connects molecular selectivity with quantitative readout.
After the labeled detection component binds, the generated signal corresponds to the amount of analyte retained in the assay. Under the format described, higher analyte concentrations produce proportionally stronger signals. Removing unbound components is essential because it leaves the measured response more closely associated with analyte-dependent binding rather than free assay reagents.
Washing removes components that did not bind to the capture antibody, analyte, or detection antibody. This separation reduces contributions from unbound labels and other free materials to the final measurement. In practice, effective removal supports a clearer relationship between the recorded signal and the quantity of analyte present in the sample.
A typical workflow begins by immobilizing the capture antibody, followed by exposure to the sample so the analyte can bind. The detection antibody is then added, unbound components are removed, and the label-generated signal is measured. Comparing that signal with analyte concentration enables quantitative analysis of the biological sample.
Bioengineering applications include measuring proteins, hormones, and biomarkers in diagnostics and research. The format also supports biosensor development, monitoring of bioprocesses, and investigation of engineered biological systems. Its value comes from combining selective molecular recognition with quantitative measurement in samples that may contain many other biological components.