Skip to main content
Physiological Research logoLink to Physiological Research
. 2022 Jun 30;71(4):517–526. doi: 10.33549/physiolres.934855

Cell-Tak Coating Interferes With DNA-Based Normalization of Metabolic Flux Data

Michal SIMA 1,#, Stanislava MARTINKOVA 2,3,#, Anezka KAFKOVA 2,3, Jan PALA 4,5, Jan TRNKA 2,3,✉
PMCID: PMC9616583  PMID: 35770473

Summary

Metabolic flux investigations of cells and tissue samples are a rapidly advancing tool in diverse research areas. Reliable methods of data normalization are crucial for an adequate interpretation of results and to avoid a misinterpretation of experiments and incorrect conclusions. The most common methods for metabolic flux data normalization are to cell number, DNA and protein. Data normalization may be affected by a variety of factors, such as density, healthy state, adherence efficiency, or proportional seeding of cells. The mussel-derived adhesive Cell–Tak is often used to immobilize poorly adherent cells. Here we demonstrate that this coating strongly affects the fluorescent detection of DNA leading to an incorrect and highly variable normalization of metabolic flux data. Protein assays are much less affected and cell counting can virtually completely remove the effect of the coating. Cell-Tak coating also affects cell shape in a cell line-specific manner and may change cellular metabolism. Based on these observations we recommend cell counting as a gold standard normalization method for Seahorse metabolic flux measurements with protein content as a reasonable alternative.

Keywords: Metabolic flux analysis, Normalization, Cell-Tak

Introduction

The measurement of cellular metabolism is a widely used research approach in a variety of disciplines. Any interventions that lead to a change in the physiological functioning of cells e.g. mutations, chemical treatments, environmental conditions and others can affect cellular metabolism. The extracellular flux (XF) measurement technology developed by Seahorse (Agilent) is an elegant method of measuring oxygen consumption and extracellular acidification rates in relatively small amounts of live biological material. We have previously used the Seahorse analyzer to study the effect of lipophilic cations on mitochondrial metabolism [1] inhibitory effect of the lipophilic positively charged moiety of methyltriphenylphosphonium (TPMP) on 2–oxoglutarate dehydrogenase [2] and the effect of Cu(II)–phenanthroline complexes on cellular metabolism [3] and in other studies. This method also allows measurement of mitochondrial ATP production rates and ATP glycolytic rates which was for example performed with C2C12 myoblasts [4] or the platelets [5].

The XF data usually requires a normalization due to the varying number of cells in each tested well – this requirement is most needed for ex vivo samples or when different cell lines are used in one experiment or to compare experiments from various times. A range of normalization strategies for XF metabolic assays are available such as normalization to total cellular protein [6], to nuclear DNA [7], to cell number calculated by microscope image analysis [8,9] or to the number of cell nuclei using fluorescent microscopy [10]. DNA and protein concentration are often preferable due to the low cost and wide availability of the required instrumentation and reagents.

Extracellular flux measurements usually include a degree of liquid agitation and mixing and many cell types tend to detach from the surface of the microplate wells, which can lead to unusable measurement data. It is thus common practice to coat the surface with agents that enhance the adhesion to the plastic [11]. Cells prefer to adhere to hydrophilic surfaces or surfaces that contain functional –NH2/–COOH groups [12,13].

One highly adhesive and a widely used coating material is Cell-Tak. Its main components are polyphenolic proteins extracted from the marine mussel Mytilus edulis, which has a remarkable ability to adhere to underwater surfaces [14–16]. Observations showed that these proteins rich in lysine, hydroxylated amino acids, and 3,4-dihydroxyphenylalanine have strong adhesive properties in vitro and contributes to byssal adhesion [14,17]. Multiple polyphenolic proteins were extracted from M. edulis and used as base of Cell-Tak [14,15]. Cell-Tak has been used for cell attachment to microscope slides in order to stabilize them for observation [18].

Some of our previous experiments using Cell-Tak for enhancing cellular adhesion showed inconsistent results of measured DNA concentrations used to normalize XF data. We measured oxygen consumption rate of ovarian cumulus cells, which do not spontaneously attach to cell culture plastic. We therefore coated the surface of the wells with the Cell-Tak adhesive. When we tried to normalize the metabolic measurements of these cells to DNA content using fluorescent dyes in wells coated with Cell-Tak we observed large data variability and encountered insurmountable problems when comparing different treatments (data not shown). We hypothesised that Cell-Tak coating may interfere with metabolic flux measurements and/or with the DNA-based normalization method.

In this study we tested these hypotheses by measuring the effects of Cell-Tak coating on metabolic flux data normalized using a range of methods (protein, DNA, cell number) in two commonly used cell lines, HepG2 and C2C12. We chose these cell lines as opposed to more exotic biological material to be better able to dissect the various components of the observed interference. Our findings provide clear evidence for the abandonment of DNA-based normalization in metabolic flux analyses using cell culture surfaces coated with Cell-Tak, which is a valuable practical result for all researchers using this analytical method.

Methods

Cell lines, culture, and standards

Immortalized mammalian cell lines HepG2 (human liver cell line) and the C2C12 (mouse myoblast cell line) were kindly provided by Dr. Julien Prudent (MRC Mitochondrial Biology Unit, Cambridge, UK) and grown in Dulbecco’s Modified Eagle’s Medium (Life Technologies, cat. n. 31885023) supplemented with 10 % FBS (Life Technologies, cat. n. A3160402) and 1 % penicillin/streptomycin (Sigma-Aldrich, cat. n. P4333) at 37 °C in 5 % CO2. Cells were harvested using trypsin/EDTA (Life Technologies, cat. n. 15400054) and centrifuged at 150 × g for 5 minutes. Pellets were resuspended in complete Seahorse XF DMEM medium, pH 7.4 or in DMEM without phenol red (Life Technologies, cat. n. A1443001) and cells were counted under a Motic inverted microscope/AE20 microscope using a Bürker counting chamber.

As a DNA standard, the Lambda DNA in TE from Quant-iT ™ PicoGreen® dsDNA Assay Kit (ThermoFisher Scientific, cat. n. P11496) was used. Bovine serum albumin (Sigma-Aldrich, cat. n. P0914-10AMP) was utilized as a protein standard.

The various treatments and assays are summarized in Table 1 and described below. The first series of experiments was done on 96 well plate with a DNA or protein standard with four plate coating protocols followed by analogous experimental settings but with two cell lines. After seeding and attachment cells were lysed and their DNA or protein content analyzed.

Table 1.

An overview of experimental setups for the comparison of total cellular protein and total cellular DNA assays. Below are the protocols for each experiment including plating volume, centrifugation, cell counting, lysis process, and DNA/protein content analysis. Fluo and OD indicate subsequent measurement of fluorescence and optical density, respectively. The larger volumes in “Aspiration 1” denoted by asterisks are due to added inhibitors during the XF measurements.

Method 96 well plate Seahorse plate


cells - Fluo cells – OD DNA standard BSA standard cells – Fluo cells – OD
Plate coating types 4 4 4 4 2 2
Plating - volume (μl) 100 50 100 50 180 180
Incubation no no no no yes yes
Seahorse experiment no no no no yes yes
Centrifugation 1 no no 2200 × g for 30 min 2200 × g for 30 min 150 × g for 5 min 150 × g for 5 min
Aspiration 1 (μl) no no no no 210* 245*
Cell counting no no no no automatically/manually manually


Lysis Centrifugation 2 350 × g for 5 min 350 × g for 5 min no no no no
Aspiration 2 (μl) 70 35 no no no no
Lysis buffer (μl) 70 35 no no 70 35
Vortex yes yes yes yes yes yes
−80 °C overnight overnight no no overnight overnight


DNA fluo reagent (μl) 100 no 100 no 100 no
Protein OD reagent (μl) no 205 no 205 no 205

In the second type of experiments cells were seeded on XFp Seahorse plates with two types of coating. After the XF measurement sequence cells were counted and used for DNA content detection or counted and used for protein content analysis.

Plating of standards and seeding of cells

For the standards/cells set of experiments we used the Nunc™ MicroWell™ 96-Well Microplates (ThermoFisher Scientific, cat. n. 269620) with Nunc™ Microplate Lids (ThermoFisher Scientific, cat. n. 263339). Four different variants of coating solutions were applied to these plates: 1) dH2O as a control, 2) 0.1 M NaHCO3 as another control, 3) Cell-Tak – Corning® Cell-Tak™ Cell and Tissue Adhesive (Baria, cat. n. 354240) (3.5 μg/cm2) diluted in dH2O, and 4) Cell-Tak (3.5 μg/cm2) diluted in 0.1 M NaHCO3.

DNA and BSA standards were diluted in dH2O and added to the wells in concentrations 250 ng/ml and 500 ng/ml for DNA and 50 μg/ml and 100 μg/ml for BSA in volumes indicated in Table 1. Cells in DMEM without phenol red were added to the plates in two amounts: 10 000 and 20 000/well. Plates with standards were centrifuged at 2200 × g for 30 minutes and then vortexed briefly before the addition of DNA/protein analysis reagents (see below). Wells with dH2O only were used as a blank for standard analysis and wells with medium only served as a blank for cell analysis. All experiments were set up in triplicate and repeated three times.

The second set of experiments was performed on Seahorse XFp Cell Culture Miniplates (Agilent, cat. n. 103022-100) with eight wells. Cells were seeded on these plates as described above but only two versions of coating solutions were applied to these plates: four wells were coated with dH2O as a no-coating control, and the remaining four were coated with Cell-Tak (3.5 μg/cm2) diluted in 0.1 M NaHCO3 as per manufacturer’s instructions. Cells were seeded at 6000/well in Seahorse XF DMEM medium, pH 7.4 (Agilent, cat. n. 103575-100). The assay medium only was used as a blank in one well coated with dH2O and one well with Cell-Tak.

Both types of plates used in this study are made of hydrophobic untreated polystyrene with a flat bottom shape. All experiments were performed three times on separate days.

XF measurements

Directly after seeding, cells were allowed to settle down for 20 minutes on the bench to promote an even distribution, and then transferred for 40 minutes to a 37 °C/5 % CO2 incubator. We used this relatively short attachment period in order to avoid variation caused by cellular proliferation. After that time preheated 37 °C Seahorse XF DMEM assay medium, pH 7.4 was added to each well for a final volume of 180 μl/well. Medium was supplemented with 5.55 mM Glucose, 1 mM Sodium Pyruvate (Sigma-Aldrich, cat. n. S8636), and 4 mM L-Glutamine (Sigma-Aldrich, cat. n. G7513). Plates were placed in a non-CO2 incubator at 37 °C (according to manufacturer’s instructions) prior to the assay. Cellular mitochondrial respiration (OCR – oxygen consumption rate) was determined using the XFp analyzer (Agilent Technologies, CA, USA). Mitochondrial stress assay was performed with the consecutive 20 μl injections/each of reagents (final concentration): oligomycin (1 μM), carbonyl cyanide-4-(trifluoromethoxy)phenylhydrazone (FCCP)(1 μM – HepG2; 2 μM – C2C12), and antimycin A/rotenone (1 μM each). The last injection added 0.2 μg/ml Hoechst (Life Technologies, cat. n. 33342-Invitrogen™) used for cell counting. A total of 12 OCR measurements were taken - three for the basal respiration and three after each inhibitor injection.

Cell counting

After the Seahorse experiment the plates were centrifuged (5 minutes with 150 × g) to sediment detached cells and a part of the medium was aspirated from the wells (Table 1). Samples in Seahorse XFp Cell Culture Miniplates were thereafter scanned in the bright field mode by a monochrome fluorescence CCD camera Leica DFC 350FX mounted on camera port of inverted fully motorized microscope stand Leica DMI 6000. A Leica HC PL FLUOTAR 10x/0, 30 DRY objective was used to acquire tile scans with 4×5 fields with a corresponding pixel size 921×921 nm.

We then used the Fiji software [19] to count cells manually. During cell counting, cells were divided into two groups based on their shape - a round form, with defined and visible edges and not round form, without defined edges or with protrusions.

Cell lysis

Prior to DNA/protein content assay 96 well plates with cells were centrifuged for 5 minutes with 350 × g. Part of the medium from these plates was aspirated from the wells. Analogous steps were performed with Seahorse plates before cell counting (Table 1). Appropriate volumes of lysis buffer (Sigma-Aldrich, cat. n. C3228-500ML) were added to both plate types (Table 1). Plates were vortexed briefly and put for ten minutes at 37 °C (three times repeated). To complete the lysis they were then placed into a −80 °C freezer overnight.

DNA and protein content assays

All measurements were performed in the original plates with standards/cells. For the determination of DNA content 100 μl of PicoGreen were added to 100 μl of DNA standard/thawed cell lysates. Fluorescence intensity was measured using TECAN Infinite M200Pro microplate reader (Schoeller instruments) with gain set manually to 80.

For the measurement of the total protein content 205 μl of Bradford Reagent (Sigma-Aldrich, cat. n. B6916) was pipetted to the 50 μl of BSA standard/thawed cell lysates. The absorbance was measured at wavelength 595 nm using TECAN Infinite M200Pro microplate reader.

Data analysis

Three replicates in each experiment/treatment were averaged (fluorescence/optical density/cell number) and the appropriate blank averages (fluorescence/optical density) were subtracted from these values. We used wells “coated” with dH2O as the negative control in our experiment and all the values obtained from other coating options were normalized to this negative control them to prevent day-to-day signal variation. The resulting ratios of fluorescence/optical density/number of cells therefore indicate the effect of the coatings with respect to no coating (dH2O). These ratios from three independent experiments were then statistically analyzed.

The analysis of Seahorse data was performed as follows: for each measurement time-point, three measurement replicates were averaged to give the value for each experiment. Averages and standard deviations were then calculated from three independent experiments. These data were then normalized to the corresponding DNA/protein/cell number in the Wave data analysis software (Agilent) and exported to Microsoft Excel.

The measured values of fluorescence/absorbance/respiration for different experimental conditions taken from three independent experiments were compared using Student’s t-test and the respective p-values are denoted in figures and tables. The counts of cell shapes from three independent experiments were compared between treatments using Fisher’s exact test. We used GraphPad Prism 8 for the statistical analysis.

Results

Coating effects on normalized metabolic flux data

In order to investigate the effect of coating in the intended context of metabolic flux measurements we used the standard mitochondrial stress test methodology consisting of measurements of basal cellular respiration, followed by measurements after the sequential additions of the ATP synthase inhibitor oligomycin, the uncoupler FCCP and a combination of mitochondrial complex I and III inhibitors rotenone and antimycin A. Prior to the experiments the appropriate concentration of FCCP to be used was established by titration for both cell lines. Only two types of coating were compared in these experiments: no coating (dH2O) or the commonly used Cell-Tak/NaHCO3.

We compared three normalization methods (total cellular protein, total cellular DNA, cell number), which should in theory show identical normalized values between uncoated and coated wells (Fig. 1). Data normalization to cell number showed the smallest differences between plates coated and uncoated wells, with the normalization to total cellular protein as a close second. On the contrary, the normalization to DNA content showed a visible systematic discrepancy between coated and uncoated wells, where the normalized oxygen consumption rate (OCR) was overestimated in coated wells.

Fig. 1.

Fig. 1

Normalized oxygen consumption rates (OCR) of C2C12 and HepG2 cell lines differ due to coatings. Data shown as averages from three independent experiments +/− SEM. Additions: A 1 μg/ml oligomycin, B 1 μM FCCP, C 1 μM rotenone + antimycin A.

Coating effects on cellular phenotype

Since the coating of cell culture surfaces is used to improve the attachment of cells or tissue samples we performed a microscopic analysis of cell attachment under our experimental conditions to see whether different rates of cell attachment could explain the observed differences in normalized OCR values. In our samples we observed two distinct cell shapes. A portion of cells retains a round form with defined and visible edges and the rest are considerably flatter without defined edges or with protrusions, presumably better attached to the plastic surface (Fig. 2).

Fig. 2.

Fig. 2

Cell shape variants identified during manual cell counting. Cut-outs of the phase-contrast micrographs used to detect and count the two cell shapes in coated wells. R, round (unattached), F, flat (attached).

The proportions of these cell shapes differed in coated vs. uncoated wells. In uncoated cells (dH2O), 88 % of HepG2 cells were found in the round form, in wells coated with Cell-Tak/NaHCO3 the majority of cells were flat (62 %). With C2C12 cells this difference was much less pronounced (Fig. 3). This clear difference in attachment behavior of the two cell lines appears not to support the hypothesis that the different rate of attachment could be the main determinant of the effect of Cell-Tak on normalized OCR data.

Fig. 3.

Fig. 3

Differences in cell shapes influenced by plate coating type. The proportion of round cells in uncoated wells (dH2O) and wells coated with Cell-Tak/NaHCO3. Data shown as averages from three independent experiments +/− SD. Statistical significance was tested using unpaired, two tailed Student’s t-test. NS, not significant, **, p<0.01

Effect of coating on DNA and protein assays of standards

The preceding experiments have shown a varying discrepancy between normalized OCR data from uncoated and coated cells with the largest difference observed for DNA-normalized data. We therefore hypothesized that the likely cause could be an interference of the coated surface with the fluorescent DNA assay. In order to test this hypothesis we designed a set of experiments using protein and DNA standards in coated and uncoated cells and total cellular protein a DNA detection in the cell lines used in the flux analysis experiments (Table 1).

The first set of experiments was performed in 96 well plates with four different coating options: 1) dH2O, 2) 0.1 M NaHCO3, 3) Cell-Tak diluted in dH2O and 4) Cell-Tak diluted in 0.1 M NaHCO3, and with two standards in two concentrations: a) lambda DNA (250 and 500 ng/ml) and b) albumin (BSA, 50 and 100 μg/ml). The usual coating procedure uses Cell-Tak in an alkaline solution (bicarbonate), which activates the binding of the glue. We also included a version in a neutral solution (dH2O) to see if the interference is really due to the sticky surface produced by the appropriate coating process or whether it may arise through an independent chemical interference reaction.

Compared to the negative control (dH2O “coating”) there was no significant change in the detected absorbance for both BSA concentrations and the data exhibited low standard deviations in all cases (Table 2). When DNA was used as a standard no significant fluorescence change was measured in wells coated with NaHCO3 compared to dH2O coating but an approximately 25 % decrease of fluorescence was detected in wells coated with Cell-Tak diluted in dH2O and more than 50 % decrease in wells coated with Cell-Tak diluted in NaHCO3 even if the amount of DNA was the same in all compared wells. The coated wells (Cell-Tak in NaHCO3) caused very large variability (SD) in the DNA data (Table 2). These results suggest the possibility of a significant binding of the DNA standard to the coated surface causing a large decrease in the measured value and its high variability.

Table 2.

Mean change in DNA fluorescence and protein absorbance due to coatings vs control. Changes in DNA fluorescence (FLUO) and protein absorbance (OD) between the various coatings compared to dH2O control. Experiments with DNA and protein standards and with the two cells lines are shown here. The last column indicates the p-values from Student’s t-test comparing the mean change in wells “coated” with NaHCO3 vs Cell-Tak in NaHCO3. Data from three independent experiments.

Standards/cells NaHCO3 Cell-Tak in dH2O Cell-Tak in NaHCO3 Cell-Tak in NaHCO3 vs NaHCO3

Mean change vs uncoated (SD) Mean change vs uncoated (SD) Mean change vs uncoated (SD) p-value
standards FLUO DNA (ng/ml) 250 1.053 (0.056) 0.759 (0.180) 0.443 (0.243) 0.043
500 1.063 (0.071) 0.765 (0.218) 0.488 (0.229) 0.039

OD BSA (μg/ml) 50 1.028 (0.017) 1.016 (0.011) 1.003 (0.025) 0.247
100 0.994 (0.010) 0.992 (0.023) 0.958 (0.023) 0.101

cells FLUO HepG2/well 10000 1.341 (0.073) 1.327 (0.077) 1.097 (0.133) 0.066
20000 1.389 (0.159) 1.365 (0.138) 1.180 (0.216) 0.254
C2C12/well 10000 1.133 (0.063) 1.115 (0.112) 0.655 (0.040) 0.001
20000 1.081 (0.031) 1.064 (0.046) 0.915 (0.106) 0.105

OD HepG2/well 10000 1.186 (0.189) 1.028 (0.047) 0.890 (0.063) 0.102
20000 1.065 (0.040) 1.023 (0.017) 0.898 (0.044) 0.008
C2C12/well 10000 1.055 (0.001) 1.063 (0.027) 0.846 (0.023) 0.004
20000 1.017 (0.331) 0.990 (0.383) 0.875 (0.369) 0.647

Effect of coating on DNA and protein assays using cells

Having observed the large interference of Cell-Tak with the fluorescent DNA assay using a standard we set out to confirm this result in cells. We performed an analogous set of experiments with the four coating options as above and with two cell lines: 1) HepG2 and 2) C2C12, at two densities: 10 000 and 20 000 cells/well. After cell lysis we measured DNA fluorescence or protein absorbance as before.

When assayed for protein content no significant differences were found in cells growing in wells coated with NaHCO3 and Cell-Tak/dH2O compared to dH2O (Table 2). In wells coated with Cell-Tak/NaHCO3 we observed a 10–15 % decrease of absorbance (Table 2). When assayed for DNA content there we observed an increase in wells with HepG2 cells when coated with NaHCO3 and Cell-Tak/dH2O (approximately 35 %) and a similar but smaller increase in C2C12 cells (6–10 %, Table 2). In wells coated with Cell-Tak/NaHCO3 a small increase of fluorescence was detected in HepG2 cells but fluorescence decreased in C2C12 cells (Table 2).

Since metabolic flux measurements are performed on specialized plastic labware we then performed a similar set of experiments in the multi-well plates used for the metabolic flux measurements in the Seahorse machine and used cell counting in wells as an independent normalization method. There was a similar decrease of the DNA fluorescence for both cell lines (Table 3) in wells coated with Cell-Tak/NaHCO3 compared to dH2O (by approximately 15 %). Protein content analysis showed virtually no differences between coating variants (Table 3).

Table 3.

Mean change of detected of total cellular DNA or protein content or cell count on Seahorse plates with cell lines caused by Cell-Tak coating. The values show the ratio in fluorescence/absorbance/cell number between wells coated with Cell-Tak in NaHCO3 and wells coated only with dH2O. Cell counting was performed separately for plates later analyzed for DNA or protein. The last column indicates the p-values from Student’s t-test comparing mean change in cell counts and DNA/protein assay in coated wells. Data from three independent experiments.

Cell line Assay Cell-Tak in NaHCO3 t-test

Mean change vs uncoated (SD) p-value
HepG2 Cell count 1.085 (0.069) 0.048
DNA 0.881 (0.098)
Cell count 1.027 (0.034) 0.871
protein 1.033 (0.041)

C2C12 Cell count 1.026 (0.024) 0.004
DNA 0.853 (0.037)
Cell count 1.005 (0.056) 0.600
protein 0.968 (0.096)

Discussion

Our results show that Cell-Tak coating affects fluorescent DNA assays and will therefore interfere with cell normalization based on the total DNA content. Wells coated with Cell-Tak/NaHCO3 had significantly decreased values of fluorescence compared to uncoated wells. A similar pattern was observed in cell lines cultured on coated vs. uncoated plastic but the effects appeared to be more cell line-specific and perhaps even specific to the type of plastic used as a different pattern was observed in normal tissue culture plates vs. Seahorse plates. In addition to differences in fluorescence values we also tended to observe much higher signal variability expressed in the standard deviation of measurements.

Total protein detection appears to be less affected by Cell-Tak coating. We observed virtually no difference when using a BSA standard, and an average 15 % decrease in the measured protein content in both cell lines suggesting that things may be more complicated with total cellular protein content in a cell lysate. This difference in coating effects between DNA and protein assays could be due to the attachment of a portion of DNA molecules to the sticky coating, which may hinder the binding of the fluorescent reagent.

When we used all three normalization methods (protein, DNA, cell count) on real Seahorse extracellular flux data we saw a similar pattern as above but with some more cell line-specific observations. In the case of the murine myoblast cell line C2C12 normalizing to cell count or protein content produces virtually no difference between the normalized OCR curves in uncoated vs. coated wells. Values normalized to DNA are, on the other hand, substantially higher in wells coated by Cell-Tak, which corresponds well with our observation of lower measured DNA content in coated wells. Similar results we observed in the case of the other cell line used, namely HepG2.

In our modified experimental setting we observed a strong effect of Cell-Tak coating on cell shape. This effect on cell shape after attachment to the coated surface agrees with the previously published data about neuroblastoma cells [20] or hamster kidney cells and human histiocytic lymphoma cells [17]. Whether or not this change in cellular shape may also affect OCR values remains to be investigated.

Our findings that the coating of cell culture or assay plastic with Cell-Tak may strongly influence DNA content measurements using PicoGreen fluorescence has important implications for the normalization of data from Seahorse extracellular flux analyses. One possible explanation for the observed interference could a physico-chemical interaction between the coated surface and DNA/PicoGReen reagent leading to a significantly lower fluorescent signal when detected using PicoGreen. If a physical interaction with the long DNA molecules were the proximal process it can be expected to be stochastic and in addition to lower measured DNA fluorescence it could give rise to the observed large variation in the data including differences between different plastic surfaces – this hypothesis requires further study. Based on these results we suggest to avoid normalizing extracellular flux data to total cellular DNA and use cell count as the first-choice method and the total protein content as the second-choice technique for the normalization of Seahorse data whenever Cell-Tak coating is used (which is also suggested of the manufacturer of the Seahorse machine). Researchers should work with caution when DNA fluorescence-based normalization strategies are utilized.

Acknowledgements

Authors thank Dr. Julien Prudent and the Mitochondrial Biology Unit, University of Cambridge for the gift of the cell lines. This research was funded by the CHARLES UNIVERSITY institutional grant PROGRES Q36.

Footnotes

Conflict of Interest

There is no conflict of interest.

References

  • 1.Trnka J, Elkalaf M, Anděl M. Lipophilic triphenylphosphonium cations inhibit mitochondrial electron transport chain and induce mitochondrial proton leak. PLoS One. 2015;10(4):e0121837. doi: 10.1371/journal.pone.0121837. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Elkalaf M, Tuma P, Weiszenstein M, Polák J, Trnka J. Mitochondrial Probe Methyltriphenylphosphonium (TPMP) Inhibits the Krebs Cycle Enzyme 2-Oxoglutarate Dehydrogenase. PLoS One. 2016;11(8):e0161413. doi: 10.1371/journal.pone.0161413. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Moráň L, Pivetta T, Masuri S, Vašíčková K, Walter F, Prehn J, Elkalaf M, Trnka J, Havel J, Vaňhara P. Mixed copper(ii)-phenanthroline complexes induce cell death of ovarian cancer cells by evoking the unfolded protein response. Metallomics. 2019;11(9):1481–1489. doi: 10.1039/C9MT00055K. [DOI] [PubMed] [Google Scholar]
  • 4.Mookerjee SA, Gerencser AA, Nicholls DG, Brand MD. Quantifying intracellular rates of glycolytic and oxidative ATP production and consumption using extracellular flux measurements. J Biol Chem. 2017;292(17):7189–7207. doi: 10.1074/jbc.M116.774471. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Jedlička J, Kunc R, Kuncová J. Mitochondrial respiration of human platelets in young adult and advanced age – seahorse or O2k ? Physiol Res. 2021;70(S3):S369–S379. doi: 10.33549/physiolres.934812. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Labuschagne CF, Cheung EC, Blagih J, Domart MC, Vousden KH. Cell clustering promotes a metabolic switch that supports metastatic colonization. Cell Metab. 2019;30(4):720–734.e5. doi: 10.1016/j.cmet.2019.07.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Ratter JM, Rooijackers HMM, Hooiveld GJ, Hijmans AGM, de Galan BE, Tack CJ, Stienstra R. In vitro and in vivo effects of lactate on metabolism and cytokine production of human primary PBMCs and monocytes. Front Immunol. 2018;9(November):2564. doi: 10.3389/fimmu.2018.02564. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Dar S, Chhina J, Mert I, Chitale D, Buekers T, Kaur H, Giri S, Munkarah A, Rattan R. Bioenergetic Adaptations in Chemoresistant Ovarian Cancer Cells. Sci Rep. 2017;7(1):1–17. doi: 10.1038/s41598-017-09206-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Panina SB, Baran N, Brasil da Costa FH, Konopleva M, Kirienko NV. A mechanism for increased sensitivity of acute myeloid leukemia to mitotoxic drugs. Cell Death Dis. 2019;10(8):617. doi: 10.1038/s41419-019-1851-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Little AC, Kovalenko I, Goo LE, Hong HS, Kerk SA, Yates JA, Purohit V, Lombard DB, Merajver SD, Lyssiotis CA. High-content fluorescence imaging with the metabolic flux assay reveals insights into mitochondrial properties and functions. Commun Biol. 2020;3(1):1–10. doi: 10.1038/s42003-020-0988-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Rainaldi G, Calcabrini A, Santini MT. Positively charged polymer polylysine-induced cell adhesion molecule redistribution in K562 cells. J Mater Sci Mater Med. 1998;9(12):755–760. doi: 10.1023/a:1008915305681. [DOI] [PubMed] [Google Scholar]
  • 12.Arima Y, Iwata H. Effect of wettability and surface functional groups on protein adsorption and cell adhesion using well-defined mixed self-assembled monolayers. Biomaterials. 2007;28(20):3074–3082. doi: 10.1038/s41419-019-1851-3. [DOI] [PubMed] [Google Scholar]
  • 13.Madhurakkat Perikamana SK, Lee J, Lee YB, Shin YM, Lee EJ, Mikos AG, Shin H. Materials from Mussel-Inspired Chemistry for Cell and Tissue Engineering Applications. Biomacromolecules. 2015;16(9):2541–2555. doi: 10.1021/acs.biomac.5b00852. [DOI] [PubMed] [Google Scholar]
  • 14.Waite JH, Tanzer ML. Polyphenolic substance of Mytilus edulis: Novel adhesive containing L-dopa and hydroxyproline. Science. 1981;212(4498):1038–1040. doi: 10.1126/science.212.4498.1038. [DOI] [PubMed] [Google Scholar]
  • 15.Silverman HG, Roberto FF. Understanding marine mussel adhesion. Mar Biotechnol. 2007;9(6):661–681. doi: 10.1007/s10126-007-9053-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Bandara N, Zeng H, Wu J. Marine mussel adhesion: Biochemistry, mechanisms, and biomimetics. J Adhes Sci Technol. 2013;27:2139–2162. doi: 10.1080/01694243.2012.697703. [DOI] [Google Scholar]
  • 17.Benedict CV, Picciano PT. (ACS Symposium Series).Adhesives from Marine Mussels. 1989;385(33):465–483. doi: 10.1021/bk-1989-0385.ch033. [DOI] [Google Scholar]
  • 18.Hwang DS, Yoo HJ, Jun JH, Moon WK, Cha HJ. Expression of functional recombinant mussel adhesive protein Mgfp-5 in Escherichia coli. Appl Environ Microbiol. 2004;70(6):3352–3359. doi: 10.1128/AEM.70.6.3352-3359.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, Preibisch S, Rueden C, Saalfeld S, Schmid B, Tinevez JY, White DJ, Hartenstein V, Eliceiri K, Tomancak P, Cardona A. Fiji: An open-source platform for biological-image analysis. Nat Methods. 2012;9(7):676–682. doi: 10.1038/nmeth.2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Notter MFD. Selective attachment of neural cells to specific substrates including Cell-Tak, a new cellular adhesive. Exp Cell Res. 1988;177(2):237–246. doi: 10.1016/0014-4827(88)90458-2. [DOI] [PubMed] [Google Scholar]

Articles from Physiological Research are provided here courtesy of Institute of Physiology, Czech Academy of Sciences

RESOURCES