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Protein a sensor chip

Manufactured by GE Healthcare
Sourced in United States

The Protein A sensor chip is a laboratory equipment designed for use in affinity-based biosensor systems. It is a specialized chip that serves as a solid support for the immobilization of Protein A, a bacterial protein with high affinity for the Fc region of immunoglobulin molecules. This chip can be used to study and analyze the interactions between Protein A and various antibodies or other proteins of interest.

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19 protocols using protein a sensor chip

1

Surface Plasmon Resonance Analysis of Protein Interactions

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SPR analysis was performed with a Biacore T200 instrument (GE Healthcare). All experiments were performed in degassed and filtered PBS, pH 7.4, supplemented with 0.1% BSA (Sigma-Aldrich) and 0.05% Tween-20 (Merck Millipore) at 25 °C. Immobilization of hEGFR-Fc and hHER2-Fc (both R&D) was performed on a Protein A sensor chip (GE Healthcare) at a flow rate of 10 µL/min for 60 s at a concentration of 6.67 and 4 µg/mL, respectively, yielding a density of ~400 response units. Five different concentrations of the respective binder scaffold (depending on the expected Kd value) were injected at a flow rate of 30 µL/min for 15 s (for binders E11.4.1, E11.4.1-G25A, E11.4.1-G32A, and zHER2-AK-R10A) or 60 s (for zHER2-AK) in the single-cycle kinetic mode. Subsequently, a dissociation step was performed for 30 s (all E11.4.1-based binders), 60 s (zHER2-AK-R10A), or 180 s (zHER2-AK). Protein A sensor chips were regenerated by applying 10 mM Glycine-HCl, pH 1.5, at a flow rate of 30 µL/min for 30 s. The Kd value was either obtained by steady state binding analysis or by fitting the sensorgram to a 1:1 Langmuir model in the kinetic mode using the Biacore T200 Evaluation Software (GE Healthcare).
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2

Quantifying Antibody-Antigen Interactions

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Antibody affinities were measured at room temperature using a Biacore 8K equipped with Protein A sensor chips (GE Healthcare). Briefly, antibodies flowing in HBS-EP + buffer (GE Healthcare) were first captured by the protein A chips. Varying concentrations of recombinant EGFR or VEGF were then injected at a flow rate of 30 μl/min. Sensorgrams were generated for each concentration, and the binding kinetics were analyzed using Biacore 8K Evaluation Software with a 1:1 Langmuir-binding model.
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3

Quantifying Antibody-OX40 Antigen Affinity

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Surface plasmon resonance (SPR) analysis was carried out using Protein A sensor chips (GE Healthcare) for measuring affinity kinetics between antibodies and OX40 antigen. Antibodies were diluted with HBS EP+ running buffer to 5 µg/ml and were first immobilized onto the sample flow cell of Protein A sensor chip with a flow rate of 10 μl/min at 25°C, and the reference flow cell was left blank. OX40 antigens were serially diluted with HBS EP+ running buffer, then injected over the two flow cells at a range of eight concentrations using a single-cycle kinetics program. HBS EP+ running buffer was also injected using the same program for background subtraction. All data were fitted to a 1:1 binding model using Biacore T200 Evaluation Software 3.1.
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4

SARS-CoV-2 Spike Protein Binding Kinetics

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SPR experiments were performed in a running buffer composed of 0.01 M Hepes (pH 7.4), 0.15 M NaCl, 3 mM EDTA, and 0.005% v/v surfactant P20 at 25°C using the Biacore 8K (GE Healthcare), with a series S protein A sensor chip (GE Healthcare). The ACE2 receptor or SARS-CoV-2 spike-specific antibodies (CR3022 or S309) were immobilized on the protein A sensor chip (GE Healthcare) at a ligand capture level of ~100 RU. Serial dilutions of purified spike designs were injected, at concentrations ranging from 10 to 1.25 nM. The resulting data were fit to a 1:1 binding model using the Biacore Evaluation Software (GE Healthcare).
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5

Kinetic Characterization of Fab Binding

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Surface plasmon resonance (SPR) measurements were performed using a Biacore T200 equipped with a protein A sensor chip (GE Healthcare). The human ActRIIA and ActRIIB-Fc proteins (R&D Systems) were captured at a density of ∼100 resonance unit on the chip. Flow cell 1 served as a reference. The kinetic binding data were collected by subsequent injections of 1:2 dilution series of the Fabs (ranging from 0.2 to 50 nM). The surfaces were regenerated with 10 mM glycine-HCl, pH 1.5. The raw data were double referenced, i.e., response of the measuring flow cell was corrected for response of the reference flow cell, and in a second step, response of a blank injection was subtracted. The sensorgrams were fitted by applying a 1:1 binding model (global Rmax and local RI) to calculate kinetic rate and dissociation equilibrium constants. Three independent assays were performed.
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6

Quantifying FZD-LRP5 Interactions

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All measurements were done on a Biacore S200 instrument (GE Healthcare) with 10 mM Hepes pH7.2, 150 mM NaCl and 0.001% P20 as running buffer. Fc-tagged FZD target proteins (R&D Systems) were immobilized on sensor spots of a Protein A Sensor chip (GE Healthcare). A concentration series (3-fold dilution) across 6-dilutions of the indicated peptides were injected for single cycle kinetics. For Fab measurements, studies were performed with a CM5 chip and 50 mM Tris pH 8.0, 300 mM NaCl, 5% Glycerol and 0.05% Triton X as running buffer. Fabs were immobilized on chips using the Amine coupling kit (GE Healthcare, #BR100050) according to the manufacturer’s instructions. A dilution series of the extracellular domain of recombinant mouse LRP5 (R&D Systems, #7344-LR) was injected. All data were double-referenced by subtracting the signal from a blank sensor spot and the signal from a buffer injection. Referenced data sets were fitted using the instrument’s software. Peptides showing high specificity to either FZD5 and/or FZD8 were synthesized as disulfide bridged dimers (CSBio).
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7

Characterizing ACE2-RBD Binding Kinetics

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The 25 ACE2-mFC fusion proteins were transferred into HBST buffer (20 mM HEPES (pH 7.4), 150 mM NaCl, and 0.005% (v/v) Tween 20) and immobilized on the CM 5 chip (Table S2). Then, serially diluted wild-type or mutated RaTG13 RBD proteins flowed over the chip in HBST buffer. PD-L1 protein was used as negative control. Binding affinities were measured using a BIAcore 8K (GE Healthcare) at 25°C in the single-cycle mode. Binding kinetics were analyzed with Biacore™ Insight software (GE healthcare) using a 1:1 Langmuir binding model.
The seven recombinant antibodies (2 μg/mL) were first captured on flow cell 2 of the protein A sensor chip (GE Healthcare) at more than 500 response units (Table S4). Flow cell 1 was used as the negative control. Then, serially diluted SARS-CoV-2 RBD or RaTG13 RBD proteins flowed over the chip in PBST buffer. Response Units (RU) were measured with a BIAcore 8K (GE Healthcare) at 25°C in single-cycle mode. The antibodies were regenerated with 10 mM glycine-HCl (pH 1.5). The equilibrium dissociation constants (KD) of each pair of interactions were calculated using BIAcore® 8K Evaluation Software (GE Healthcare) by fitting to a 1:1 Langmuir binding model.
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8

Kinetic Analysis of Antibody-Antigen Interactions

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Surface plasmon resonance (SPR) kinetic analysis was conducted using a BIAcore 3000 instrument with Protein A sensor chip (GE Healthcare, USA). All experiments were performed at 25°C at a flow rate of 40 μL/min. The running buffer was degassed PBS with 0.005% Tween-20. Channel 1 was loaded with a reference antibody without specific binding to the antigens used, and channel 2, 3, and 4 were loaded with the antibody candidates. Typically, 2 μg/mL of antibody and a quick injection for 20–30 s yielded ∼150–250 response units (RU) of antibody coupling with high reproducibility. Antigen (S1 or RBD protein) was then injected over all the channel surfaces for 5 min for an association phase followed by a 10-minute dissociation phase by buffer rinse. Multiple association/dissociation cycles were performed using antigen dilution series in the range of 1.2–100 nM, as well as a blank buffer. At the end of each cycle, regeneration was performed by a 30-second injection of glycine buffer (pH 2.0, 10 mM) and antibodies were loaded in each channel again. The kinetic curves were double reference subtracted and analyzed to calculate association rate constant, dissociation rate constant, and affinity constants using BIA evaluation 3.2 and 1:1 Langmuir model.
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9

Measuring Anti-FOLR1 mAb Binding Kinetics

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Example 7

The interaction of the chimeric anti-FOLR1 mAbs and FOLR1 was measured by Surface Plasmon Resonance (SPR) (Biacore 8k, GE Healthcare). Briefly, an anti-FOLR1 mAb was immobilized to a protein A sensor chip (GE Healthcare, Cat #: 29-1275-56) in HBS-P buffer (0.01 M HEPES pH 7.4, 0.15 M NaCl, 0.05% v/v Surfactant P20) with an injection flow rate at 10 μL/ml. The recombinant FOLR1 (Novoprotein, Cat #: C784) at variant concentrations was loaded with the flow rate of 30 μL/min in HBS-P buffer. Following antigen loading, the surface was regenerated with 10 mM glycine-HCl (pH 1.5). Sensor grams were fit with a 1:1 binding model using Biacore 8k evaluation software (GE Healthcare). The results of the binding affinity for the anti-FOLR1 mAbs are shown in Table 7.

TABLE 7
KD values for the anti-FOLR1 mAbs from a Biacore assay
Chimeric mAbKD (nM)
F40.547
F50.352
F72.33
F80.721
F100.704
F170.265
F1911.8
F201.00

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10

Quantifying gB Peptide-NRP1 Binding Kinetics

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Surface plasmon resonance (SPR) was used to ascertain affinity to PRV gB peptides and NRP1. Briefly, biotin gB peptides were pre-incubated with streptavidin for 2 h at 4 °C. NRP1-hFc protein was linked to a protein A sensor chip (GE Healthcare). Then, serially diluted samples of the peptide-streptavidin complex (200, 100, 50, 25, 12.5, 6.25, 3.125, 1.5625, and 0.78125 nM) was flowed through the sensor surface at a flow rate of 30 μL/min in PBS-P + buffer (0.2 M phosphate buffer with 27 mM KCl, 1.37 M NaCl, and 0.5% Surfactant P20 (Tween 20)). The flow durations were 120 s for the association stage and 200 s for dissociation. Finally, association rates (ka), dissociation rates (kd), and affinity constants (KD) were calculated using evaluation software equipped for the Biacore 8K instrument (GE Healthcare).
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