Abstract
Phospholipid fatty acid (FA) composition influences the biophysical properties of the plasma membrane and plays an important role in cellular signaling. Our previous work has demonstrated that plasma membrane fatty acid composition is an important determinant of oncogenic Ras signaling and that dietary (exogenous) modulation of membrane composition may underlie the chemoprotective benefits of long chain n-3 polyunsaturated fatty acids (PUFA). In this chapter, we describe in vitro methods to modulate membrane phospholipid fatty acid composition of cultured cells using fatty acids complexed to bovine serum albumin (BSA). Furthermore, we describe a method to quantify the biophysical properties of plasma membranes in live cells using Di-4-ANEPPDHQ (Di4) and image-based flow cytometry.
Keywords: n-3 PUFA, DHA, Membrane order, Lipid rafts, Di-4-ANNEPDHQ, Imaging flow cytometry
1. Introduction
The plasma membrane (PM) is a dynamic cellular structure composed of a myriad of lipids and proteins [1]. The coalescence of these membrane components into structured domains regulates many cellular signals, including Ras [2]. Therefore, disruption of these structured domains may serve as a complementary strategy to inhibit aberrant Ras signaling [3]. Recently, we demonstrated that membrane enrichment with long-chain n-3 polyunsaturated fatty acids (n-3 PUFA), e.g., eicosapentaenoic acid (EPA, 20:5 Δ5,8,11,14,17) and docosahexaenoic acid (DHA, 22:6 Δ4,7,10,13,16,19), attenuates oncogenic signaling by altering KRas proteolipid composition [4].
The physiological delivery of fatty acids to mammalian cells occurs via non-esterified fatty acids bound to serum albumin or by their incorporation into circulating lipoproteins. Thus, the delivery of PUFA by bovine serum albumin (BSA) provides an efficient strategy to manipulate membrane composition.
The ability to assess the biophysical properties of the plasma membrane is of great interest since plasma membrane rigidity is linked to plasma membrane receptor function and downstream cellular signaling [5–7]. A commonly used method to assess membrane order involves confocal-based spectral ratiometric imaging of polarity-sensitive membrane dyes, e.g., Laurdan and Di-4-ANEPPDHQ [8, 9]. This technique has been recently extended to flow cytometry-based applications [10, 11]. Here, we describe methods that combine imaging and flow cytometry to assess membrane order [5, 12, 13]. This application has the advantage of rapid single cell analysis similar to flow cytometry while also providing images which can be masked and thresholded to determine organelle-specific mem brane order.
Dietary n-3 PUFA play an under-appreciated role in human health and disease as modulators of membrane structure and function [12–14]. To elucidate the interrelationships between long-chain fatty acids and membrane rigidification, we describe protocols to modulate membrane fatty acid composition via the delivery of albumin-complexed fatty acids to cells in culture. Furthermore, we describe a quantitative method (imaging flow cytometry) to determine the biophysical impact of fatty acid incorporation on plasma membrane order.
2. Materials
2.1. Delivery of Fatty Acids
Baked spatulas, 250 mL beaker, and 2 mL glass conical V-bottom vials.
Bovine Serum Albumin Fraction V, heat shock, fatty acid-free (Sigma, 3117057001), MW: 68,000 g/mol.
DHA [52.56 mg/mL in EtOH], (Nu-Chek Prep, U-84-A) MW: 328.57 g/mol.
0.05 M Na2CO3 buffer: 0.053 g Na2CO3 in 10 mL sterile H2O
15% BSA solution: Add 20 mL of RPMI 1640 medium into 50 mL beaker. Gently layer 3 g of FA-free BSA onto the surface of the medium. Do not stir, let the BSA powder slowly dissolve into the medium.
2.2. Determining Membrane Order
We are providing details of our set-up using an Amnis® FlowSight®. However, an equivalent image-based flow cytometer could be used as long as it has the following specifications: A 488 nm laser and capable of collecting emissions 480–560 nm (ordered) and 640–745 (disordered) to analyze Di-4-ANEPPDHQ (see Note 1).
Live Cell Imaging Solution (Thermo Fisher, A14291DJ).
Di-4-ANEPPDHQ (Thermo Fisher, D36802).
10 mM MβCD cholesterol depletion buffer: 0.066 g MβCD (Sigma, C4555) into 5 ml. RPMI 1640.
3. Methods
3.1. Preparation of BSA-FA
Dissolve the fatty acids in 100% ethanol (see Note 2).
Add 5 mg of FA into a 2 mL glass vial.
Carefully dry down the FA under a stream of N2.
After drying down the FA, add I mL of 0.05 M Na2CO3 to the vial. Flush the vial with N2 gas. Vortex for 30 s. Let the vials sit at room temperature (RT) for 1 h. During the 1 h incubation, vortex the vials every 10 min to aid the dissolution of the FA.
-
Calculate the materials needed to generate a 2.5 mM FA-BSA complex at the FA:BSA (3:1) molar ratio (2.5 mM refer to FA concentration).
Example: DHA (MW: 328.57 g/mol): 5 mg in 1 mL 0.05 M Na2CO3
BSA (MW: 68,000 g/mol): 15% solution
-
Calculate the volume of 15% BSA solution needed for 5 mg DHA to obtain FA:BSA 3:1 molar ratio.
Example: -
Calculate the total volume of solution needed for 5 mg DHA to make 2.5 mM DHA-BSA complex.
Example: -
Calculate the volume of basal medium needed for making the 2.5 mM DHA-BSA complex.
Example:
6.09 mL (total volume) − 1 mL (FA in 0.05 M Na2CO3) − 2.3 ml. (15% BSA) 2.79 ml.DHA 15% BSA Medium 2.5 mM DHA-BSA 1 mL 2.3 mL 2.79 mL 6.09 mL (total volume) -
It is difficult to completely retrieve the 1 mL FA-Na2CO3 from the glass vial. Therefore, take only 95% of the solution to make the DHA-BSA complex.
Example: 0.95 mL of DHA + 2.19 mL of 15% BSA + 2.65 mL of medium.
- Add the following mL of FA-Na2CO3, 15% BSA, and medium to 15 mL conical tube for respective FA.
Ex: FA-Na2CO3 15% BSA Medium (FA-BSA) 0.95 mL 2.19 mL 2.65 mL (5.79) mL Flush the tubes with N2. Shake the tubes on a belly dancer shaker for at least 0.5 h.
Filter sterilize using a 0.2μm low protein binding syringe filter and aliquot the FA-BSA complex under a sterile hood (see Note 3).
Store at −20 °C for up to a month.
3.2. Treatment of Cells
3.3. Trypsinization and Labeling with Di-4-ANEPPDHQ
To deplete cholesterol, remove media and replace with RPMI media containing 10 mM methyl-β-cyclodextrin (MβCD) for 30 min at 33 °C (see Note 6).
For a 24-well plate, aspirate media and rinse with 1 mL DPBS. Add 250μL of 0.05% trypsin-EDTA for 3–5 min.
After 3–5 min, add 1 mL of media to stop the trypsinization. Transfer the cell suspension into a 2 mL tube. Centrifuge cells at 200 × g for 5 min to pellet cells.
After centrifugation, aspirate media and resuspend cells in 50μL of live cell imaging solution (LCIS) or other imaging media. Keep cells on ice.
When ready to image, add 4μL of 10μM Di4 in LCIS media to an aliquot of 36μL of cells in LCIS (Final Di4 concentration: 1 μM). Pipette up and down gently, to mix and avoid generating bubbles.
Immediately run sample on the FlowSight (see Note 7).
3.4. Imaging
Perform the startup and calibration of the FlowSight according to manufacturer’s recommendation. Takes ~30 min.
Set a gate to collect whole cells as in Fig. 1 (see Note 8).
Adjust the power of the 488 nm laser to minimize saturated max pixels.
Collect at least 5000 events (see Note 9).
Fig. 1.

Representative FlowSight gating strategy
3.5. Analysis
Analysis is performed using commercial software associated with the flow cytometer. On our machine, we use Amnis IDEAS® (Version 6.2).
- For every cell, the mean intensity of CH02 (ordered, O) and CH05 (disordered, D) is used to generate a generalized polarization (GP) value by applying the equation below [9].
where IO and ID are the intensities of ordered channel and disordered channel, respectively. The GP value ranges from +1 to −l, where higher values indicate increased membrane order. The analysis template used is available upon request. Cholesterol depletion by MβCD can be used as a control to reduce membrane order (see Note 5). An example of representative data is shown in Fig. 2.
Fig. 2.

DHA enrichment and cholesterol depletion by MβCD reduce membrane order. (a) Representative bright field (BF), ordered (O) and disordered (D) channel images of YAMC cells. Plasma membrane, whole cell, or intracellular membrane masks overlaid in blue highlight. When images are acquired quickly (<10 min), most of the fluorescence signal is localized to the plasma membrane. Under these conditions, the whole cell mask is sufficient for plasma membrane GP analysis. Quantitative (b) raw and (c) normalized data from YAMC cells untreated or incubated with DHA-BSA (50μM) for 24 h or MβCD (10 mM) for 30 min prior to determination of membrane order with Di-4-ANEPPDHQ by image-based flow cytometry. Data represents mean GP ± s.d. from whole individual cell mask: untreated (3382 cells), DHA (2617 cells), and MβCD (2625 cells). Statistical significance between treatments as indicated by uncommon letters (p < 0.0001) was examined using one-way ANOVA and uncorrected Fisher LSD tests
Acknowledgments
This work was supported by the Allen Endowed Chair in Nutrition and Chronic Disease Prevention and the National Institutes of Health (R35-CA197707 and P30-ES029067). Natividad R. Fuentes is supported by the Texas A&M University Regulatory Science in Environmental Health and Toxicology Training Grant (T32-ES026568) and former recipient of a Predoctoral Fellowship in Pharmacology/Toxicology from the PhRMA Foundation. Michael L. Salinas is a recipient of the National Science Foundation Texas A&M University System Louis Stokes Alliance for Minority Participation (TAMUS LSAMP) Bridge to the Doctorate Fellowship (HRD-1612776).
Footnotes
The choice of wavelengths collected for ordered and disordered channels are somewhat arbitrary for Di-4-ANEPPDHQ as its emission spectra in not bimodal [15]. The choice of filters described here provides high GP sensitivity; however a combination of CH02 (480–560) and CH04 (595–642) can also be used. We recommend using cholesterol depletion as a positive control to reduce GP values, in order to validate alternative filter choices.
DHA is used as an example; however this protocol can be similarly applied to any fatty acid.
Prepare small one time use aliquots to avoid freeze-thawing.
This method is applicable to most cell types irrespective of attachment or suspension as uptake of BSA-FA is believed to be receptor independent [16].
Typically, cells are incubated with 50μM FA for 24–72 h [17]. Replacing the media every 24 h reduces the likelihood of lipid oxidation. Physiological levels of DHA in human serum range from ~100 to for phospholipids and ~1 to 15μM for non-esterified fatty acid [18].
Addition of 10 mM MβCD to the culture media for 30 min removes ~50% of cholesterol in the plasma membrane of YAMC cells resulting in a large reduction of membrane order [5, 12]. The concentration and timing of MβCD treatment may need to be optimized for other cell types.
Analyze the sample immediately after the addition of Di-4-ANEPPDHQ. This ensures that most of the signal is localized to the plasma membrane, as internalization takes approximately 15 min [15].
It is best to collect images and subsequently filter out detritus and cell doublets during the analysis. For YAMC cells, an MOI aspect ratio >05 and area > 100 are used. However, this may need to be optimized for other cell types.
The number of cells collected is dependent on the concentration of the sample. Typically, collection times are limited to no more than 10 min to avoid internalization of the dye.
References
- 1.Barrera NP, Zhou M, Robinson CV (2013) The role of lipids in defining membrane protein interactions: insights from mass spectrometry. Trends Cell Biol 23:1–8 [DOI] [PubMed] [Google Scholar]
- 2.Zhou Y, Hancock JF (2014) Ras nanoclusters: versatile lipid-based signaling platforms. Biochim Biophys Acta 1853:841–849 [DOI] [PubMed] [Google Scholar]
- 3.Cho K, Hancock JF (2013) Ras nanoclusters: a new drug target? Small GTPases 4:57–60 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Fuentes NR, Mlih M, Barhoumi Ret al (2018) Long-chain n-3 fatty acids attenuate oncogenic KRas-driven proliferation by altering plasma membrane nanoscale proteolipid composition. Cancer Res 78:3899–3912 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Salinas ML, Fuentes NR, Choate R et al. (2019) AdipoRon attenuates Wnt signaling by reducing cholesterol-dependent plasma membrane rigidity. Biophys J. 10.1016/j.bpj.2019.09.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Sezgin E, Levental I, Mayor S, Eggeling C (2017) The mystery of membrane organization: composition, regulation and roles of lipid rafts. Nat Rev Mol Cell Biol 18:361–374 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Sezgin E, Azbazdar Y, Ng XW, Teh C et al. (2017) Binding of canonical Wnt ligands to their receptor complexes occurs in ordered plasma membrane environments. FEBS J 284:2513–2526 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Ashdown GW, Owen DM (2015) Imaging membrane order using environmentally sensitive fluorophores. Methods Mol Biol 1232:115–122 [DOI] [PubMed] [Google Scholar]
- 9.Owen DM, Rentero C, Magenau A et al. (2012) Quantitative imaging of membrane lipid order in cells and organisms. Nat Protoc 7:24–35 [DOI] [PubMed] [Google Scholar]
- 10.Miguel L, Owen DM, Lim C et al. (2011) Primary human CD4+ T cells have diverse levels of membrane lipid order that correlate with their function. J Immunol 186:3505–3516 [DOI] [PubMed] [Google Scholar]
- 11.Waddington KE, Pineda-Torra I, Jury EC (2019) Analyzing T-cell plasma membrane lipids by flow cytometry. Methods Mol Biol 1951:209–216 [DOI] [PubMed] [Google Scholar]
- 12.Fuentes NR, Kim E, Fan W et al. (2018) Omega-3 fatty acids, membrane remodeling and cancer prevention. Mol Asp Med 64:79–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Fuentes NR, Salinas ML, Kim E et al. (2017) Emerging role of chemoprotective agents in the dynamic shaping of plasma membrane organization. Biochim Biophys Acta 1859:1668–1678 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Erazo-Oliveras A, Fuentes NR, Wright RC et al. (2018) Functional link between plasma membrane spatiotemporal dynamics, cancer biology, and dietary membrane-altering agents. Cancer Metastasis Rev 37:519–544 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Sezgin E, Sadowski T, Simons K (2014) Measuring lipid packing of model and cellular membranes with environment sensitive probes. Langmuir 30:8160–8166 [DOI] [PubMed] [Google Scholar]
- 16.Alsabeeh N, Chausse B, Kakimoto PA et al. (2018) Cell culture models of fatty acid overload: problems and solutions. Biochim Biophys Acta Mol Cell Biol Lipids 1863:143–151 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Kim W, McMurray DN, Chapkin RS (2010) n-3 polyunsaturated fatty acids—physiological relevance of dose. Prostaglandins Leukot Essent Fat Acids 82:155–158 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Conquer JA, Holub BJ (1998) Effect of supplementation with different doses of DHA on the levels of circulating DHA as non-esterified fatty acid in subjects of Asian Indian background. J Lipid Res 39:286–292 [PubMed] [Google Scholar]
