Application Note

Quantify TNFα secretion by THP-1-derived macrophages with an AlphaLISA assay

  • Biomarker detection at picogram levels
  • Homogeneous assay for rapid screening
  • Automated curve fitting and calculation of concentrations

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Cathy Olsen, PhD | Sr. Application Scientist | Molecular Devices

Introduction

Macrophages are a type of white blood cell that plays a role in detecting and destroying infectious microorganisms, removing dead cells and debris, and in wound healing. A major cellular component of the tumor microenvironment, tumor-associated macrophages are often associated with poor prognosis and are under investigation as potential targets for anticancer therapy.1

Derived from the blood of an acute monocytic leukemia patient, the human monocytic cell line THP-1 is widely used to study the function of monocytes and macrophages, as well as to conduct research in cancer and immunology. THP-1 cells normally grow in suspension, but when treated with phorbol 12-myristate 13-acetate (PMA) and lipopolysaccharide (LPS), they can be induced to differentiate into adherent macrophage-like cells that secrete IL-8, TNFα, and other markers, and can thus serve as a model for the biology of human macrophages, including their interaction with cancer cells.2,3 By using methods that can sensitively quantify levels of markers like TNFα, one can explore the cell signaling pathways involved and identify compounds that reduce TNFα secretion.4

In this application note, effects of several anti-inflammatory compounds on TNFα secretion by THP-1-derived macrophages were measured using the AlphaLISA High Performance (HP) Human Tumor Necrosis Factor alpha (TNFα) Detection Kit. Using the SpectraMax i3x MultiMode Microplate Reader and this homogeneous assay, picogram levels of TNFα were detected in culture medium removed from THP-1 cells activated with PMA and LPS, and further treated with the compounds SB202190, stattic, and resveratrol.

Materials

Cell differentiation and treatment

Day 1–2: THP-1 cells were plated at 20,000 cells per well in a 96-well cell culture microplate and treated with 20 ng/mL PMA to induce differentiation for 48 hours. Cells were imaged at day 1 and day 2 on the MiniMax Imaging Cytometer to monitor changes in morphology.

Day 3: Cells were imaged on the MiniMax cytometer prior to washing to visually assess differentiation. Cells were washed with and then incubated in PMA-free medium for 24 hours.

Day 4–6: The compounds SB202190, stattic, and resveratrol were added to cells at concentrations starting at 100 μM, with 1:3 dilutions in medium down to 0.002 μM (11 concentrations total). Two hours after compound addition, LPS was added to cells at a final concentration of 1 μg/mL to induce inflammatory responses for 48 hours. Several wells of PMA-treated control cells received no LPS and no compound treatment.

On day 6, aliquots of the culture medium from treated and control cell wells were removed from the wells and assayed for TNFα with the AlphaLISA High Performance Human TNFα Detection Kit.

TNFα AlphaLISA assay

Please also refer to the assay’s Technical Data Sheet for details on how the reagents are prepared and standard curve and samples for analysis are set up. Here, the High Concentration Protocol (two incubation steps) outlined in the Technical Data Sheet was used in order to obtain higher assay sensitivity compared to the alternative Standard Protocol.

A 12-point standard curve consisting of TNFα standards from 0.3 pg/mL to 100 ng/mL, four replicates per concentration, was set up in a solid white, low-volume 384-well assay microplate. An additional 22 replicate wells containing no standard were included so that the lower limit of detection (LLD) for TNFα could be calculated. From each treated cell well, four aliquots of 5 μL each were transferred to four replicate wells of the 384-well assay microplate.

5 μL of a 10X mix of anti-hTNFα acceptor beads (100 μg/mL) and biotinylated anti-hTNFα antibody (10 nM) were added to each assay well, and the plate was incubated at room temperature for 60 minutes. Then 40 μL of 1.25X SA-donor beads were added to each well, and the plate was incubated at room temperature for 30 minutes. The plate was then read on the SpectraMax i3x reader with an AlphaScreen Detection Cartridge (384 HTS), using the settings shown in Table 1.

Optical Configuration
Alpha-384 HTS Detection Cartridge
Read Mode
Screen
Read Type
Endpoint
Wavelengths

Excitation: 680 nm

Emission: 570 nm

PMT and Optics

Excitation Time: 40 ms

Integration Time: 80 ms

More Settings

Show Pre-Read Optimization Options: ☑

Normalization: [as needed] Interlaced Reading: [as needed]

Table 1. Instrument settings for SpectraMax i3x reader with AlphaScreen 384 HTS Detection Cartridge. Selecting Pre-Read Optimization Options will enable Microplate Optimization and Read Height Optimization after the plate read is initiated. Each new lot of microplates should be optimized to ensure the center of each well is read. Read Height may be performed for each assay setup. Select the Normalization check box to normalize raw data to counts per second. Select Interlaced Reading to read wells in a checkerboard pattern that minimizes crosstalk.

Results and conclusion

THP-1 cells normally grow in suspension, and they had a spherical appearance when initially seeded in the 96-well plate. However, with incubation in 20 ng/mL PMA, they began to attach to the bottom of the wells and take on a more elongated, flatter appearance. By three days of treatment, many cells had adopted this macrophage-like morphology (Figure 1).

Culture medium removed from wells containing compound-treated THP-1 macrophages, and assayed for TNFα with AlphaLISA, revealed that each of the compounds SB202190, stattic, and resveratrol inhibited TNFα expression in a concentration-dependent manner. Results were plotted using 4-parameter curve fitting in SoftMax Pro Software, with EC50 values calculated automatically (Figure 2). Curve fit settings include the option to calculate statistics, including an independence parameter that aids in assessing the suitability of a given curve fit for the data set.5

THP-1 cells imaged using MiniMax Imaging Cytometer

Figure 1. THP-1 cells imaged using MiniMax Imaging Cytometer. On day 1, cells exhibited a rounded morphology. After 24 hours of treatment with PMA (day 2), elongated and flattened cells were observed, with more such cells seen on day 3 (yellow arrow)

TNFα inhibition observed in THP-1-derived macrophages

Figure 2. TNFα inhibition observed in THP-1-derived macrophages treated with SB202190 (red), stattic (green), and resveratrol (blue). Details for the 4-parameter curve fit are shown, along with the Curve Fit Results table showing the independence parameter, which is translated into bars, where the number of bars indicates the degree of independence. EC50 values for each compound are also displayed.

A TNFα standard curve (Figure 3) enabled calculation of actual TNFα levels in assay samples. The curve shown had an assay window from 61.7 pg/mL to 100 ng/mL. This range of AlphaLISA signal fully encompassed the signals observed for samples from treated cells, whose TNFα levels ranged from 0.47 ng/mL to 7.70 ng/mL (Table 2).

range of AlphaLISA signal

Average AlphaLISA signal
[TNFα], M
[Compound], μM
SB202190
Stattic
Resveratrol
SB202190
Stattic
Resveratrol
100.000
21875.318
17905.568
101068.068
5.55E-10
4.72E-10
2.04E-09
33.333
116073.32
12663.068
231673.318
2.31E-09
3.59E-10
4.56E-09
11.111
266996.32
9187.568
330201.818
5.33E-09
2.79E-10
6.83E-09
3.704
301719.82
18618.568
353620.318
6.13E-09
4.87E-10
7.45E-09
1.235
313392.57
129115.57
358557.068
6.42E-09
2.55E-09
7.58E-09
0.412
301426.82
218040.32
341897.318
6.13E-09
4.28E-09
7.14E-09
0.137
327780.07
283315.32
384501.818
6.77E-09
5.70E-09
8.31E-09
0.046
304814.57
286359.32
370525.318
6.21E-09
5.77E-09
7.91E-09
0.015
321763.32
314774.82
362926.318
6.62E-09
6.45E-09
7.70E-09
Average AlphaLISA signal
[TNFα], M
PMA-only control
39725.50
9.07E-10

Table 2. AlphaLISA signal and calculated TNFα concentrations for samples from cells treated with the compounds SB202190, stattic, and resveratrol. PMA-only control cells received no LPS or compound. TNFα concentrations for each sample were calculated by interpolation from the TNFα standard curve.

These results demonstrate the utility of the AlphaLISA assay on the SpectraMax i3x reader. TNFα was quantifiable in media samples taken from macrophages stimulated with LPS and treated with compounds shown to have anti-inflammatory and antioxidant effects, compared to non-stimulated cells. All AlphaLISA signal for the assay fell within the range covered by a TNFα standard curve, thus TNFα concentrations could be calculated accurately and readily compared via analysis in SoftMax Pro Software.

The highest tested concentrations of SB202190, stattic, and resveratrol reduced the secretion of TNFα to even lower levels than were observed in non-LPS-stimulated cells. Calculation of curve fit parameter independence in SoftMax Pro Software was used to assess goodness of fit for the 4-parameter curve fit applied to these data sets, and EC50 values were calculated automatically

References

  1. Malfitano AM, Pisanti S, Napolitano F, Di Somma S, Martinelli R, Portella G. Tumor-Associated Macrophage Status in Cancer Treatment. Cancers (Basel). 2020 Jul 21;12(7):1987. doi: 10.3390/cancers12071987. PMID: 32708142; PMCID: PMC7409350.
  2. Starr T, Bauler TJ, Malik-Kale P, SteeleMortimer O (2018) The phorbol 12-myristate-13- acetate differentiation protocol is critical to the interaction of THP-1 macrophages with Salmonella Typhimurium. PLoS ONE 13(3): e0193601.
    https://doi.org/10.1371/journal.pone.0193601
  3. Smith MP, Young H, Hurlstone A, Wellbrock C. Differentiation of THP1 Cells into Macrophages for Transwell Co-culture Assay with Melanoma Cells. Bio Protoc. 2015 May 11;5(21):e1638. doi: 10.21769/bioprotoc.1638. PMID: 27034969; PMCID: PMC4811304.
  4. Parameswaran N, Patial S. Tumor necrosis factor-α signaling in macrophages. Crit Rev Eukaryot Gene Expr. 2010;20(2):87-103. oi: 10.1615/critreveukargeneexpr.v20.i2.10. PMID: 21133840; PMCID: PMC3066460.
  5. Selecting the best curve fit in SoftMax Pro 7 Software. Molecular Devices Application Note, 7/22 1969C. https://www.moleculardevices.com/en/assets/app-note/br/selecting-best-curve-fit-in-softmax-pro-7-software

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