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Human IFN-Beta TCM ELISA, High Sensitivity

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Product Info

Matrix Compatibility Tissue Culture Media (TCM) only
Assay Range 2.34 - 150 pg/ml
LLOQ

2.34 pg/ml

Need more sensitivity? Check out our Sample Testing Services

Assay Length 3 hours
Specificity Human IFN-β

 

The VeriKine-HS Human IFN-Beta TCM ELISA Kit is designed for accurate quantification of low-level human interferon beta in buffers or tissue culture media (TCM) by sandwich ELISA. The LLOQ of this kit is 2.34 pg/ml.

 

Note: This kit is not intended for use with human serum or plasma samples due to a significantly elevated risk of false-positive results.

 

*For complex biological matrices such as plasma, healthy sera, and disease sera, we recommend our Human IFN-Beta Serum ELISA Kit, High Sensitivity (Cat. No. 41415-1).

 

Specifications

 
CVs Inter-Assay < 8%

Intra-Assay < 10%

Cross-reactivity

No cross-reactivity detected with:

  • Human IFN-α, IFN-γ, IFN-ω, IL-6
  • Mouse IFN-α, IFN-β
  • Rat IFN-β
Synonyms Human Beta Interferon, Human Fibroblast IFN, Human Type I Interferon Beta, Human IFNb
Storage 2-8ºC
Expiration Date 12 months from the date of manufacture
Shipping Condition Wet Ice

 

 

Materials Provided

  • Pre-coated microtiter plate
  • Plate Sealers
  • Wash Solution Concentrate
  • Human IFN Beta 1a Standard, 100,000 pg/ml
  • Standard Diluent
  • Sample Buffer
  • Antibody Concentrate
  • HRP Conjugate Concentrate
  • Assay Diluent
  • TMB Substrate
  • Stop Solution

 

Additional Materials Required (Not Provided) 

  • Microplate reader capable of reading an OD at a wavelength of 450 nm
  • Variable volume microtiter pipettes
  • Adjustable multichannel pipette (50-300 μl)
  • Reagent reservoirs
  • Wash bottle or plate washing system
  • Distilled or deionized water
  • Serological pipettes (1, 5, 10 or 25 ml)
  • Disposable pipette tips (polypropylene)
  • Plate shaker

 

Tech Info & Data

 

Representative Human IFN-Beta Standard Curves in Various Matrices

41435 Representative Standard Curves
Human IFN-Beta standard curves were prepared in Tissue Culture Media (TCM) and Standard Diluent (SD). Three different TCM were used: RPMI, DMEM and MEM. TCM were supplemented with 10% FBS. This figure shows the mean of two runs and error bars indicate the standard deviation.

 

Intra and Inter-Assay CVs to measure Precision

Matrix Standard Diluent TCM
n 7 18
Intra-Assay CV (%) 4.10 4.06
Inter-Assay CV (%) 2.33 3.16

 

Spike Recovery

TC Media Spike Sample 1 2 3
Target Conc. (pg/ml) 100 25 5
Mean Recovery (%) 101.1 95.7 91.4
Range (%) 97-106 90-102 85-96

 

 

Matrix Compliance for Standard Diluent and Three Different TCM

41435 Fig 2
Human IFN-Beta standard curves were prepared in Tissue Culture Media (TCM) and Standard Diluent (SD). Three different TCM were used: RPMI, DMEM and MEM, each supplemented with 10% FBS. The figure below shows the recovery of Human IFN-Beta Standard at the different concentrations for the various matrices. The SD curve was used as reference for calculating the percent recovery of IFN-Beta in TCM from the expected value. The figure shows the means of two runs, and error bars indicate the standard deviation.

 

Parallelism of Five Endogenous Samples

41435 Parallelism of Endogenous Samples
Five endogenous samples were tested and assayed in duplicate. Samples were serially diluted in TCM to the 32-fold dilution, which still lies within standard curve range. Percent recoveries are 100 ± 20% of neat value except for the 32nd dilution of Sample 5 (S5) which falls just beneath the bottom standard curve point of 2.34 pg/ml. Error bars indicate the standard deviation.

 

Sensitivity in Stimulated PBMC Samples

41435 Induction by TLR 7-8
PBMCs were isolated from a healthy individual’s buffy coat and stimulated with 10 ug/ml of the TLR-7/8 agonist, R-848, to induce detectable levels of IFN-Beta in RPMI. Four densities of PBMCs were used (1E6, 2E6, 3E6 and 4E6 cells per ml), and supernatants were collected 24 and 48 hr post stimulation. The 1E6 PBMC samples fall below the LLOQ (Lower Limit of Quantitation) of 2.34 pg/ml.

 

Endogenous Levels of IFN-Beta Quantified in Sendai Virus-Induced HEK293 Cells

Endogenous Levels of IFN-Beta Quantified in Sendai Virus-Induced HEK293 Cells
HEK293 cells were infected with 1.5, 15 and 100 HA units of Sendai Virus (SeV). Supernatants were collected at four time points post-infection (6, 24, 48 and 72 hr). The 6 hr time point is not shown. Due to high expected IFN-Beta levels, samples were diluted 1:100 in TCM. Each uninfected control was assayed and added neat on the plate. All uninfected samples (negative controls) yielded OD values similar to the plate blank of 0.05 indicating no quantifiable IFN-Beta (data not shown). The standard curves and samples were run in duplicate. Sample concentrations were interpolated from the assay calibrator. Error bars indicate standard deviation.

 

Representative Standard Curves

 

Representative Standard Curves
Competitor A’s immunoassay standard curve showcases less sensitivity than PBL’s 41435.

 

sIFNAR2 Receptor Interference in Competitor A’s ELISA

sIFNAR2 Receptor Interference in Competitor A’s ELISA
To test whether soluble Interferon Alpha/Beta Receptor 2 (sIFNAR2) interferes with the detection of IFN-Beta in Competitor A’s ELISA, various concentrations of IFN-Beta standard were pre-incubated with and without 10 ug/ml of active sIFNAR2 in Calibrator Diluent (CD). Standards were assayed in duplicate. 0.1% BSA was added as a carrier protein to the Calibrator Diluent with and without sIFNAR2. Data was generated from three runs.

 

sIFNAR2 Receptor Interference in Competitor A’s ELISA

sIFNAR2 Receptor Interference in Competitor A’s ELISA
The recovery of Human IFN-Beta Standard is shown at different concentrations in Calibrator Diluent (CD) both with and without sIFNAR2. The CD+BSA curve was used as reference for calculating the percent recovery of IFN-Beta in CD+BSA+sIFNAR2 vs the expected value. Data was generated from three runs. Error bars indicate the standard deviation. Incubation with 10 ug/ml of active sIFNAR2 elicited 80% suppression of the detection of IFN-Beta in Competitor A’s ELISA.

 

sIFNAR2 Receptor Effect in PBL’s 41435 ELISA

. sIFNAR2 Receptor Effect in PBL’s 41435 ELISA
To test whether sIFNAR2 interferes with the detection of IFN-Beta in the 41435 ELISA, various concentrations of IFN-Beta standard were pre-incubated with and without 10 ug/ml of active sIFNAR2. Standards were assayed in duplicate, without 0.1% BSA, in Standard Diluent (SD). 0.1% BSA was added as a carrier protein to the Standard Diluent with and without sIFNAR2. Data was generated from a single run and demonstrates a lack of sIFNAR2 receptor interference.

 

Quantitation of Total IFN-Beta in the presence of sIFNAR2

Quantitation of Total IFN-Beta in the presence of sIFNAR2
The recovery of Human IFN-Beta Standard is shown at different concentrations in Standard Diluent (SD) both with and without sIFNAR2, and without 0.1% BSA. The SD curve was used as reference for calculating the percent recovery of IFN-Beta in SD+BSA+sIFNAR2 and SD+BSA vs the expected value. Recoveries of the SD+BSA+ sIFNAR2 curve based on the backfit of SD+BSA curve were similar to recoveries in SD without BSA. Detection of IFN-Beta was neither enhanced nor inhibited by sIFNAR2 at 10 ug/ml. The 41435 ELISA detects free IFN-Beta as well as IFN-Beta bound to soluble IFNAR2 receptors and therefore quantifies a measure of total IFN-Beta. Data was generated from a single run. Error bars indicate the standard deviation.

 

Background

 

Interferon Beta (IFN-Beta, IFNb) is synthesized and secreted by fibroblasts and many other cell types in response to varied stimuli in Toll-like receptor (TLR) dependent and independent mechanisms. Pathogen exposure can result in the activation of transcription factors interferon regulatory factor 3 (IRF3) and NF-kB resulting in IFN-Beta production in a stimuli and cell-dependent manner. Conversely, IFN-Beta aberrant expression may be associated with inflammation and autoimmunity.

 

Citations

4 Citations:

 

  1. Luganini, A., et al., (2023), "Mechanisms of antiviral activity of the new hDHODH inhibitor MEDS433 against respiratory syncytial virus replication", Antiviral Res., 105734, PMID: 37852322, DOI: 10.1016/j.antiviral.2023.105734 (link)

  2. Barnard, T.R. et al., (2023), "Zika virus NS3 and NS5 proteins determine strain-dependent differences in dsRNA accumulation in a host cell type-dependent manner", J Gen Virol., 104(6):001855, PMID: 37289497, DOI: 10.1099/jgv.0.001855 (link)

  3. Gori Savellini, G. et al., (2023), "SARS-COV-2 omicron sub-lineages differentially modulate interferon response in human lung epithelial cells", Virus Res., 332:199134, PMID: 37192725, DOI: 10.1016/j.virusres.2023.199134 (link)

  4. Kwart, D. et al., (2022), "Cancer cell-derived type I interferons instruct tumor monocyte polarization", Cell Rep., 41(10):111769, PMID: 36476866, DOI:10.1016/j.celrep.2022.111769 (link)

Documentation

Certificate of Analysis (CoA), Protocol, Technical Data Sheet (TDS), and Safety Data Sheet (SDS)
41435 CoA and Protocol

41435 Certificate of Analysis and Protocol

41435 Technical Data Sheet

41435 TDS

41435 SDS

41435 Safety Data Sheet

41435 Product Flyer

41435 Product Flyer