DOI:
10.1039/D5SM00327J
(Paper)
Soft Matter, 2025, Advance Article
Home is where the lipids are: a comparison of MSP and DDDG nanodiscs for membrane protein research
Received
29th March 2025
, Accepted 15th July 2025
First published on 28th July 2025
Abstract
Nanodiscs have emerged as a powerful tool for studying membrane proteins in a lipid bilayer, with the standard approach relying on MSP-based nanodiscs that use detergent-mediated lipid exchange and encapsulation by MSP rings. However, this method may introduce artefacts from MSP interactions with the target protein and the nanodiscs constrained size. Here, we compare MSP-based nanodiscs with an alternative system using the amphiphile dodecyl-diglucoside (DDDG), which directly extracts membrane proteins along with their surrounding lipids from the cell membrane. Using a glutamate transporter homolog (GltTk) from Thermococcus kodakarensis as a model, we assessed the efficiency of extraction and purification, thermal stability, and substrate binding capacity of GltTk in each of the two nanodisc systems. Our findings demonstrate that DDDG-based nanodiscs are comparable to MSP-based nanodiscs but may provide greater conformational flexibility and avoid possible artefacts due to MSP-GltTk interactions. Consequently, they provide a competent alternative to MSP-based nanodiscs through direct extraction, thereby preserving the proteins native lipid environment. Both approaches support structural and functional studies, but their suitability depends on the specific application. MSP-based nanodiscs remain advantageous for studies requiring well-defined lipid compositions, while DDDG nanodiscs offer distinct advantages for investigating proteins where native lipids and conformational freedom are critical.
Introduction
Membrane proteins are essential for a broad spectrum of physiological functions. Representing approximately 30% of all proteins encoded by the human genome, they mediate essential intra- and transcellular molecular interactions.2 Their surfaces exhibit hydrophobic properties, resulting in their instability when exposed to water. Consequently, in their purified state, they are incompatible with numerous tools employed in in vitro biochemical studies. To address this challenge, detergents with a range of properties have been developed and used for decades. More recently, a variety of nanodiscs have emerged as a novel tool for studying these fascinating proteins. These soluble discoidal lipid bilayer patches enable diverse experimental applications.
Membrane scaffold proteins (MSPs) were first introduced in the early 2000 s as a versatile platform for stabilising membrane proteins in a native-like lipid bilayer environment.3 In an MSP-based nanodisc, a pair of alpha helical proteins derived from a human apolipoprotein A1 form and retain certain sizes of a discoidal patch of lipids in solution. Although alternative protein-based nanodisc systems have been developed since then – such as salipro4 and constructs based on short amphipathic peptides5–8 MSPs remain the most widely used, especially in structural biology, where they have greatly contributed to developments in cryo-electron microscopy.9 Nanodiscs have opened possibilities to study lipid- protein interactions in addition to aiding in overcoming issues related to the poor stability of membrane proteins. Extensive protein engineering and open science initiatives have resulted in a range of MSP constructs with different molecular weights.10–12 This diversity allows researchers to select an MSP variant tailored to the size and conformational flexibility of their protein of interest, providing sufficient space for dynamic structural rearrangements. However, despite their widespread application and success, MSP nanodiscs have certain limitations. Their defined lipid composition and the size dictated by the scaffold protein may restrict flexibility when it comes to mimicking the complex lipid environments of native membranes. Moreover, interactions between the MSP rings and the reconstituted membrane protein may limit the activity or conformational transitions of the target protein.13 Additionally, the standard workflow for generating MSP-based nanodiscs requires detergent extraction of the target protein and subsequent reconstitution. This long process could lead to problems such as the denaturation or aggregation of the protein of interest.
To overcome some of these limitations, alternative membrane-mimetic systems have been developed. In particular, lipid-solubilising polymers have emerged as promising alternatives due to their ability to directly extract membrane proteins from native membranes.14 Commonly used copolymers such as styrene-maleic acid (SMA),15 diisobutylene/maleic acid (DIBMA)16 have been widely applied to directly extract membrane proteins from native membranes while maintaining their surrounding lipid environment. Similarly, small amphiphilic molecules offer an alternative approach by directly extracting membrane proteins from biological membranes while simultaneously forming nanodiscs.17,18
For our experiments, we chose the glyco-amphiphile DDDG, as it has proven to be a promising tool for the direct extraction and purification of membrane proteins17,18 (Fig. 1). As an amphiphilic detergent, DDDG exhibits a critical micelle concentration (CMC) that must be maintained in all buffers to ensure effective extraction and nanodisc formation. The suitability of DDDG for extracting membrane proteins into lipid-bilayer nanodiscs has been demonstrated in several instances.17–19 For example, DDDG enabled the extraction of the bacterial ABC transporter BmrA from E. coli and the human G protein-coupled receptor (GPCR) A2AR from Sf9 insect cells, achieving higher solubilization efficiencies than the commonly used detergent DDM.17 In a subsequent study, DDDG was shown to solubilize reconstituted proteoliposomes containing outer membrane phospholipase A (OmpLA) and to form nanodiscs directly from native membranes.18 Due to the direct extraction from native membranes, DDDG nanodiscs often incorporate a larger amount of lipids than classic detergents, resulting in generally larger and more variable nanodisc sizes. In contrast, MSP nanodiscs offer a well-defined and uniform size. DDDG nanodiscs incorporate native lipid compositions directly extracted from target-protein expressing E. coli membranes, in contrast to the defined, synthetic lipid mixtures typically used for reconstitution in MSP nanodiscs. This inherent heterogeneity creates a more native-like lipid environment that can allow for greater conformational freedom of membrane proteins and their associated lipids. Moreover, solubilising target proteins with a variety of lipid species may help preserve the functional and structural integrity of these proteins.
 |
| Fig. 1 DDDG- and MSP-based nanodiscs in this study (A) DDDG-based nanodiscs are formed by direct extraction of membrane proteins and native lipids from membranes. (B) MSP nanodiscs are assembled by reconstituting purified membrane proteins into a defined lipid bilayer stabilized by MSPs. Figures were generated based on PDB ID: 6CLZ.1 | |
To investigate how different lipid environments affect membrane protein purification and function, we compared DDDG and MSP1E3D110 nanodiscs as two distinct “homes” for a membrane transporter. As a model protein, we used GltTk, a glutamate transporter homolog from Thermococcus kodakarensis.20 GltTk forms trimers that are fully embedded in the lipid bilayer and operates via an elevator mechanism, in which one domain slides relative to the other.21 Our study shows how different nanodisc compositions influence the purification efficiency, sample heterogeneity, ligand binding, and thermal stability of this transporter.
Results and discussion
DDDG forms larger nanodiscs compared to MSP1E3D1
To assess differences arising from the nanodisc formation methods, we first compared extraction efficiencies and subsequent protein yields. GltTk was successfully extracted with both dodecyl-β-D-maltopyranoside (DDM) and DDDG (Fig. S1). However, the subsequent reconstitution of the DDM-solubilized sample into MSP1E3D1 nanodiscs resulted in a noticeable loss of protein, likely due to the multiple processing steps required. In contrast, direct extraction with DDDG enabled the formation of nanodiscs without reconstitution, resulting in substantially increased yields (approximately 30-fold) compared to MSP nanodiscs (Fig. S2). In the subsequent size-exclusion chromatography (SEC), the main peak eluted earlier than expected from the molecular weight of GltTk trimer (Fig. S3). This earlier elution suggests an increased hydrodynamic radius, which may result from additional lipids incorporated into the nanodiscs or from nanodiscs associating with each other.18 This effect was particularly noticeable in the DDDG preparation, reflecting its ability to extract membrane proteins together with a substantial portion of their native lipid environment. Using fluorescent universal lipid labeling (FULL-MDS),19 we confirmed the presence of lipids in DDDG nanodiscs (Fig. S4). Further lipidomic analysis by mass spectrometry (MS) identified typical E. coli lipids, including phosphatidylglycerol (PG), phosphatidylethanolamine (PE), cardiolipin (CL), and acyl phosphatidylglycerol (AcylPG)(Fig. 2).
 |
| Fig. 2 Lipid species identified in crude E. coli membrane (outer circle) and GltTk-DDDG nanodiscs (inner circle). (A) phosphatidylglycerol (PG), (B) phosphatidylethanolamine (PE), (C) cardiolipin (CL), and (D) acyl phosphatidylglycerol (AcylPG) The numeric values following the lipid abbreviations indicate the total number of carbon atoms and double bonds in the fatty acyl chains. | |
Notably, DDDG preserved the native lipid environment around GltTk, as the lipid composition in the nanodiscs closely resembled that of the original membrane vesicles from which they were extracted. Moreover, negative-stain electron microscopy revealed that GltTk-containing DDDG nanodiscs exhibit a significantly larger average diameter ((25.0 ± 5) nm) compared to MSP1E3D1 nanodiscs ((13.5 ± 1) nm) (Fig. 3). In addition to the increased mean diameter, the DDDG nanodiscs also displayed a broader size distribution, as expected from the self-assembly properties of a small-molecule amphiphile. Similar size heterogeneity has been reported for lipid-solubilizing polymers such as SMA or DIBMA, which also extract membrane proteins directly with their native lipid environment.14–16 Consequently, this native extraction approach leads to greater variability in nanodisc size compared to the more uniform assemblies formed with MSPs.
 |
| Fig. 3 Size distributions of nanodiscs determined by negative-stain electron microscopy. (A) Comparison of nanodisc diameters measured from negative-stain electron microscopy images. GltTk-DDDG nanodiscs were found to have a mean diameter of 25.0 (± SD 5) nm, whereas MSP1E3D1 nanodiscs were found to have a mean diameter of 13.5 (± SD 1) nm. Measurements of the diameters for 59 particles in micrograph (B), 155 in (C) were performed in ImageJ. (B) and (C): example of negative-stain electron microscopy images for GltTk in (B) DDDG nanodiscs and (C) MSP1E3D1 nanodiscs. The scale bars represent 100 nm. | |
MSP1E3D1 nanodiscs containing GltTk exhibit a higher thermal stability
We performed a thermostability assay (Fig. 4), where GltTk was characterized in DDDG and MSP1E3D1 nanodiscs. GltTk remained more heat-stable in MSP compared to DDDG. The results revealed a clearly higher stability in the MSP1E3D1 nanodiscs. After incubation at 75 °C for 30 min, no detectable band intensity remained in the DDDG sample, whereas approximately 60% of the initial band intensity was still present in the MSP1E3D1 sample. The absence of a band at the expected molecular weight after incubation at 75 °C indicates that GltTk purified in DDDG undergoes thermal denaturation and aggregation, resulting in the loss of detectable protein. In contrast, GltTk reconstituted in MSP1E3D1 nanodiscs exhibits increased thermal stability, as the protein remains detectable at 75 °C, indicating better preservation of its structural integrity under heat stress. The increased stability of GltTk in MSP1E3D1 nanodiscs is likely due to the enhanced structural support and protection they provide, compared to the less stabilizing environment of DDDG.
 |
| Fig. 4 GltTk remains thermally more stable in MSP1E3D1 compared to DDDG. (A) Purified protein in MSP1E3D1 (top) and DDDG (bottom) was diluted to 120 ng μL−1 and incubated at temperatures between 30 °C and 85 °C for 30 min. (B) Band intensity plotted as a function of temperature. Quantification was performed using ImageJ. | |
Substrate binding affinity of GltTk is higher in DDDG than in MSP1E3D1
In order to compare functional aspects of GltTk in both, DDDG and MSP1E3D1 nanodiscs, we probed its substrate-binding capacity in both nanodisc environments. The binding of GltTk to its substrate, aspartate, was measured using a scintillation proximity assay (Fig. 5).22 Here, radiolabelled substrates are detected on the surface of scintillant-containing beads, when they bind via immobilised protein. In DDDG nanodiscs, GltTk appears to bind to aspartate tighter (with a higher affinity, i.e., lower measured dissociation constant at KD 54.2 nM, Fig. 5, top panel) than in MSP nanodiscs (KD 205 nM, (Fig. 5, bottom panel)). Interestingly, these affinity values are significantly different from those measured in detergent (KD 6.58 nM), suggesting that the lipid environment may play a pivotal role in modulating substrate binding. The lipid composition derived from recombinant cells in DDDG nanodiscs likely promotes favourable lipid-protein interactions with GltTk, enhancing its function and potentially stabilising active states. These findings underscore the critical importance of selecting an appropriate membrane-mimetic system when characterising membrane proteins in vitro, as even subtle variations in lipid-protein interactions can lead to significant differences in functional outcomes.
 |
| Fig. 5 Binding of GltTk to aspartate measured with a scintillation proximity assay. GltTk exhibits binding in the presence of sodium ions in both types of nanodiscs, in agreement with its previously reported activity as sodium ion symporter. Error bars are from biological duplicates, each with technical triplicates. | |
Experimental methods
GltTk production
Recombinant GltTk with a single amino acid mutation from histidine 334 to cysteine was expressed in E. coli MC1061 in LB medium containing 100 μg mL−1 ampicillin (Foremedium) at 37, as described previously.23 Briefly, once optical density at 600 nm (OD600) reached 0.8, protein expression was induced with 0.05% L-arabinose (Sigma Aldrich) and the culture was continued shaken for 3 h. Cells were collected by centrifugation at 6000 × g at 4 for 20 min and resuspended in 50 mM Tris–HCl pH 8.0, 300 mM KCl. After breaking cells under the presence of DNase A, 1 mM MgSO4, 200 μM phenylmethylsulphonyl fluoride (PMSF) at 25 kPsi, cell lysate was centrifuged to remove cell debris at 17
418 × g for 30 min, then the membrane fraction was collected by ultracentrifugation (Beckmann Coulter) at 186
000 × g, 4 °C for 150 min.
GltTk extraction and purification by DDDG
The synthesis of DDDG was carried out as described in ref. 17 10.1 mM DDDG and 200 μM PMSF were added to crude membrane vesicles in buffer A (50 mM Tris–HCl pH 8.0, 300 mM KCl, 1 mM dithiothreitol (DTT)) and the mixture was incubated overnight on a rotary wheel. After ultracentrifugation (Beckmann Coulter) for 35 min at 80
000 rpm, the supernatant was incubated with Nickel resin equilibrated with 50 mM Tris–HCl pH 8.0, 300 mM KCl for 2.5 h under nutation. The sample was applied to an Nickel immobilised metal-ion affinity chromatography (Ni-IMAC), washed with buffer A supplemented with 200 μM PMSF, 0.1 mM DDDG, and 50 mM imidazole pH 8.0, then eluted in one with 0.1 mM DDDG and 400 mM imidazole pH 8.0. After Ni-IMAC, the sample was desalted using PD10 column (Cytiva). Fractions were pooled and concentrated before being applied to a Superose 6 column (Cytiva).
Production and purification of MSP1E3D1
MSP was prepared following the protocol introduced, substituting NaCl with KCl.24 The gene encoding MSP1E3D1 with the N-terminal polyhistidine-tag in pET28a plasmid (Addgene) was transformed into E. coli BL21 (DE3) cells. Cells were grown in TB medium under high oxygenation and the presence of 10 μg mL−1 of kanamycin at 37. Once OD600 reached 2, expression was induced with 1 mM isopropyl β-d-1-thiogalactopyranoside (IPTG). Cells were collected after 3 h by centrifugation and resuspended in 50 mM Tris–HCl, pH 7.5, 300 mM KCl and stored at −70. For purification cells were allowed to thaw and supplemented with 100 μg mL−1 DNase A, 1 mM MgSO4, 200 μM PMSF and 1% of Triton X-100. Cells were disrupted with sonication (72 cycles, each 5 s pulse at 70% amplitude, separated by 5 s cooling intervals on ice). After centrifugation at 30
000 × g for 30 min at 4, the supernatant was supplemented with 20 mM imidazole, pH 8.0, and MSP1E3D1 was purified with Ni-IMAC. The resin was washed three times with 40 mM Tris–HCl, pH 8.0, 300 mM KCl, supplemented first with 1% Triton X-100, then 50 mM sodium cholate and 20 mM imidazole and finally 50 mM imidazole, pH 8.0. MSP was eluted in 40 mM Tris–HCl, pH 8.0, 300 mM KCl, 500 mM imidazole. Fractions were pooled, supplemented with 5 mM ethylenediaminetetraacetic acid potassium salt (K-EDTA) and 1
:
40 w/w tobacco etch virus protease with a point mutation (TEV-S219V,25 for tag cleavage for 90 min. The mixture was transferred to a 3.5 kDa MWCO membrane tube (Spectrum) and dialysed against 20 mM Tris–HCl, pH 8.0, 100 mM KCl, 0.5 mM K-EDTA, 0.5 mM DTT overnight at 4. The sample was added to Ni-IMAC resin and collected in the flow-through fraction with 20 mM Tris–HCl, pH 8.0, 100 mM KCl.
GltTk extraction and purification with a detergent and reconstitution into MSP1E3D1
1% w/v DDM (Glycon) and 200 μM PMSF was added to crude membrane vesicles in buffer A (50 mM Tris–HCl pH 8.0, 300 mM KCl, 1 mM DTT) and the mixture was incubated on ice for 1 h. Purification with Ni-IMAC was performed in a similar way as in DDDG substituting DDDG with 0.05% DDM, except incubation with the resin was on ice for 45 min. Fractions containing high concentration of the target were applied to NAP10 desalting column (Cytiva) equilibrated with the buffer B (50 mM Tris–HCl pH 7.5, 150 mM KCl, 1 mM DTT) with 0.05% DDM. E. coli polar lipids and Egg PC (3
:
1, Avanti Polar Lipids) were sonicated and incubated with 30 mM DDM to solubilise. The amounts of protein monomer, solubilised lipids, MSP were calculated so the molar ratio is to be 3
:
5
:
250. GltTk and lipids were mixed and incubated on ice for 30 min, MSP was added to be nutated together for another 30 min, and finally hydrolysed Biobeads (Biorad) were added to the mixture and incubated overnight to remove detergents. After removing Biobeads and spinning down to remove precipitants, the reconstitution mixture was applied to a Superdex 200 column (Cytiva) in buffer B.
Mass spectrometry
To identify differences of lipid composition between DDDG nanodiscs and E. coli membrane vesicles, we used an untargeted lipidomics approach using a reversed-phase UHPLC-QToF system (Infinity II, 6560B, Agilent, Waldbronn, Germany). The following samples were analysed: Sample 1 – DDDG nanodiscs (0.3 mg mL−1), Sample 2 – E. coli membrane vesicles (0.3 mg mL−1), and as controls (SI), Sample 3: −50 mM Tris, 150 mM KCl, pH 8 + 0.1 mM DDDG, and Sample 4: −50 mM Tris, 150 mM KCl, pH 8. These samples were extracted using an adapted version of the lipid extraction protocol.26 The mobile phase consisted of a gradient of solvent A (water) and solvent B (isopropanol), both containing 1% formic acid, 10 mM ammonium formate, and 7.7 μM phosphoric acid to achieve effective separation of the lipid species. Data acquisition was performed in a data-dependent manner, allowing for the identification of lipids based on their mass-to-charge ratios (m/z) and fragmentation patterns. The mass spectrometer was operated in negative ionization mode to capture a comprehensive phospholipid profile. Lipid annotation was conducted using MS-Dial27 software for database comparison and Skyline28 for integration. Further data transformation was performed using R/RStudio and tidyversel.29
Negative-stain electron microscopy
Grids coated with a carbon film were glow discharged. Protein solution was loaded onto the grid and blotted after 1 minute to remove the excess of liquid with filter paper. The sample was stained with 1–2% uranyl acetate, pH 3.5. After 20 s, the grid was blotted again and left to dry in air. Micrographs were acquired in a Talos L120c, (Thermo Scientific) operated at 120 keV. Diameters of nanodiscs were measured in ImageJ.
Thermostability assay
GltTk in both, MSP1E3D1 and DDDG nanodiscs was diluted to a concentration of 120 ng μL−1 in 50 mM Tris (pH 8), 150 mM KCl (supplemented with 0.1 mM DDDG for DDDG samples), and incubated for 30 min at temperatures from 30 to 85 in a thermal cycler (Eppendorf). Following this, the samples were centrifuged at 20
000 × g for 40 min to remove aggregates. Thereafter, a total of 900 ng of each sample was loaded onto an SDS-PAGE. Protein band quantification was performed using ImageJ. The error bars represent the standard deviation from triplicates.
Scintillation proximity assays (SPA)
GltTk in DDDG or MSP1E3D1 were both prepared in 50 mM Tris–HCl pH 7.5, 150 mM KCl, 100 μM tris(2-carboxyethyl)phosphine (TCEP), supplemented with 0.1 mM DDDG for DDDG samples. Final 50 nM protein, 300 mM NaCl, serial concentrations of cold asp and 500 pM [3H] labelled L-Asp were added to YSi copper His tag SPA beads suspension (revvity). After 1 h of incubation, scintillation was counted in a 96 well plate.
Conclusions
Our results show clear differences between MSP and DDDG nanodiscs in terms of extraction efficiency, size, thermal stability, and substrate-binding affinity. DDDG enables the direct extraction of transmembrane proteins from native environments while simultaneously forming nanodiscs, offering physiologically relevant lipid composition as well as a facilitated process compared to MSP-based systems. For GltTk, extraction into DDDG nanodiscs resulted in higher yields too. However, these advantages do not mean that DDDG is the best option in every situation. The heterogeneity observed in our negative-stain electron microscopy data may complicate initial image analysis. In that sense, the homogeneity in the size distribution provided by MSP would be a better starting point for electron microscopy-based structural work. MSP opens possibilities to systematic investigations of lipid-dependent effects by allowing the use of specific lipid mixtures for reconstitution.
The enhanced thermal stability observed in GltTk in MSP1E3D1 nanodiscs could be influenced by an increased conformational stability of the protein, in addition to potential detergent-related artefacts. Variations in lipid composition between the two nanodisc systems are also likely to play a role. Here, the dynamic nature of DDDG nanodiscs—which manifests in fast lipid exchange18 and may also mimic the fluidity of lipid bilayer—enables interaction studies within a “home” environment. Overall, these findings highlight DDDG nanodiscs as versatile tools for studying diverse membrane proteins in physiologically relevant lipid environments. It should be noted, however, that our findings are based on a single membrane protein, GltTk, and thus their applicability to proteins with distinct structures or biophysical characteristics remains to be validated.
Author contributions
KT, KN, and SK designed the experiments. KN and AS performed the experimental work. GD and MS synthesized DDDG. GR and TZ performed the mass spectrometry measurements.
Conflicts of interest
DDDG is available at Eurofins CALIXAR under the trade name Xtract-DDDG.
Data availability
The data supporting this article have been included as part of the SI. Raw data have been deposited in Figshare and are available under DOI: https://doi.org/10.6084/m9.figshare.29434493.
Data on protein yields in DDDG, DDM, and MSP, results from Western blots and size exclusion chromatography, as well as lipid detection analyses performed using FULL-MDS and mass spectrometry. See DOI: https://doi.org/10.1039/d5sm00327j.
Acknowledgements
We thank M. C. A Stuart (University of Groningen) for negative-stain electron microscopy imaging, M. van den Noort (University of Groningen) for MSP nanodisc preparations. We are also grateful to L. Bauernhofer (University of Graz) for scientific discussions and valuable input. KT is supported by an NWO grant (Solve90, grant agreement number OCENW. M.22.092) and a Gravitation grant (FLOW, grant agreement number 024.006.036).
References
- T. C. Marcink, J. A. Simoncic, B. An, A. M. Knapinska, Y. G. Fulcher, N. Akkaladevi, G. B. Fields and S. R. Van Doren, Structure, 2019, 27, 281–292 CrossRef CAS PubMed.
- E. Wallin and G. V. Heijne, Protein Sci., 1998, 7, 1029–1038 CrossRef CAS.
- T. H. Bayburt, Y. V. Grinkova and S. G. Sligar, Nano Lett., 2002, 2, 853–856 CrossRef CAS.
- J. Frauenfeld, R. Löving, J.-P. Armache, A. F.-P. Sonnen, F. Guettou, P. Moberg, L. Zhu, C. Jegerschöld, A. Flayhan, J. A. G. Briggs, H. Garoff, C. Löw, Y. Cheng and P. Nordlund, Nat. Methods, 2016, 13, 345–351 CrossRef CAS PubMed.
- M. L. Carlson, J. W. Young, Z. Zhao, L. Fabre, D. Jun, J. Li, J. Li, H. S. Dhupar, I. Wason and A. T. Mills, et al., eLife, 2018, 7, e34085 CrossRef.
- T. Ravula, D. Ishikuro, N. Kodera, T. Ando, G. M. Anantharamaiah and A. Ramamoorthy, Chem. Mater., 2018, 30, 3204–3207 CrossRef CAS.
- B. R. Sahoo, T. Genjo, S. J. Cox, A. K. Stoddard, G. Anantharamaiah, C. Fierke and A. Ramamoorthy, J. Mol. Biol., 2018, 430, 4230–4244 CrossRef CAS.
- B. Krishnarjuna, G. Sharma, S.-C. Im, R. Auchus, G. M. Anantharamaiah and A. Ramamoorthy, J. Colloid Interface Sci., 2024, 653, 1402–1414 CrossRef CAS.
- S. G. Sligar and I. G. Denisov, Protein Sci., 2020, 30, 297–315 CrossRef.
- I. G. Denisov, Y. V. Grinkova, A. A. Lazarides and S. G. Sligar, J. Am. Chem. Soc., 2004, 126, 3477–3487 CrossRef CAS PubMed.
- T. H. Bayburt and S. G. Sligar, FEBS Lett., 2009, 584, 1721–1727 CrossRef.
- Y. V. Grinkova, I. G. Denisov and S. G. Sligar, Protein Eng., Des. Sel., 2010, 23, 843–848 CrossRef CAS PubMed.
- V. Dalal, M. J. Arcario, J. T. Petroff, B. K. Tan, N. M. Dietzen, M. J. Rau, J. A. Fitzpatrick, G. Brannigan and W. W. Cheng, Nat. Commun., 2024, 15, 25 CrossRef CAS.
- J. F. Bada Juarez, A. J. Harper, P. J. Judge, S. R. Tonge and A. Watts, Chem. Phys. Lipids, 2019, 221, 167–175 CrossRef CAS.
- T. J. Knowles, R. Finka, C. Smith, Y.-P. Lin, T. Dafforn and M. Overduin, J. Am. Chem. Soc., 2009, 131, 7484–7485 CrossRef CAS PubMed.
- A. O. Oluwole, J. Klingler, B. Danielczak, J. O. Babalola, C. Vargas, G. Pabst and S. Keller, Langmuir, 2017, 33, 14378–14388 CrossRef CAS.
- P. Guillet, F. Mahler, K. Garnier, G. Nyame Mendendy Boussambe, S. Igonet, C. Vargas, C. Ebel, M. Soulié, S. Keller, A. Jawhari and G. Durand, Langmuir, 2019, 35, 4287–4295 CrossRef CAS PubMed.
- F. Mahler, A. Meister, C. Vargas, G. Durand and S. Keller, Small, 2021, 17, 2103603 CrossRef CAS PubMed.
- J. Baron, L. Bauernhofer, S. R. A. Devenish, S. Fiedler, A. Ilsley, S. Riedl, D. Zweytick, D. Glueck, A. Pessentheiner, G. Durand and S. Keller, Anal. Chem., 2022, 95(2), 587–593 Search PubMed.
- D. J. Slotboom, W. N. Konings and J. S. Lolkema, Microbiol. Mol. Biol. Rev., 1999, 63, 293–307 CrossRef CAS.
- A. A. Garaeva and D. J. Slotboom, Biochem. Soc. Trans., 2020, 48, 1227–1241 CrossRef CAS PubMed.
- D. S. Auld, M. W. Farmen, S. D. Kahl, A. Kriauciunas, K. L. McKnight, C. Montrose and J. R. Weidner, Assay Guidance Manual [Internet], 2018.
- V. Arkhipova, A. Guskov and D. J. Slotboom, Nat. Commun., 2020, 11, 998 CrossRef CAS.
- T. Ritchie, Y. Grinkova, T. Bayburt, I. Denisov, J. Zolnerciks, W. Atkins and S. Sligar, Reconstitution of Membrane Proteins in Phospholipid Bilayer Nanodiscs, Elsevier, 2009, pp. 211–231 Search PubMed.
- S. C. Joseph E. Tropea and D. S. Waugh, High Throughput Protein Expression and Purification: Methods and Protocols, Humana Press, 2009 Search PubMed.
- V. Matyash, G. Liebisch, T. V. Kurzchalia, A. Shevchenko and D. Schwudke, J. Lipid Res., 2008, 49, 1137–1146 CrossRef CAS.
- H. Tsugawa, K. Ikeda, M. Takahashi, A. Satoh, Y. Mori, H. Uchino, N. Okahashi, Y. Yamada, I. Tada, P. Bonini, Y. Higashi, Y. Okazaki, Z. Zhou, Z.-J. Zhu, J. Koelmel, T. Cajka, O. Fiehn, K. Saito and M. Arita, Nat. Biotechnol., 2020, 38, 1159–1163 CrossRef CAS PubMed.
- B. MacLean, D. M. Tomazela, N. Shulman, M. Chambers, G. L. Finney, B. Frewen, R. Kern, D. L. Tabb, D. C. Liebler and M. J. MacCoss, Bioinformatics, 2010, 26, 966–968 CrossRef CAS PubMed.
- H. Wickham, M. Averick, J. Bryan, W. Chang, L. D. McGowan, R. François, G. Grolemund, A. Hayes, L. Henry, J. Hester, M. Kuhn, T. L. Pedersen, E. Miller, S. Bache, K. Müller, J. Ooms, D. Robinson, D. Seidel, V. Spinu and H. Yutani, J. Open Source Softw., 2019, 4, 1686 CrossRef.
Footnote |
† These authors contributed equally to this work. |
|
This journal is © The Royal Society of Chemistry 2025 |
Click here to see how this site uses Cookies. View our privacy policy here.