Evaluating aggregation behavior of liposome-protein complexes using NTA

Aggregation of both biological and synthetic materials is a serious cause for concern, posing problems at various stages of the discovery and formulation processes. Liposomes have been used in drug discovery and drug delivery for some time, and the biophysical characterization of these systems and their payloads is critical to understanding their function. One such payload, which we focus on here, is the membrane-associated receptor tyrosine kinase (RTK) targets which continue to be the focus of many discovery campaigns. Our aim is to correlate previously published activity data with the changes in size and aggregation state of the liposome-RTK complex as measured by Nanoparticle Tracking Analysis (NTA).

Introduction

Aggregation of both biological and synthetic materials is a serious cause for concern, posing problems at various stages of the discovery and formulation processes.  The ability to identify and characterize aggregates is of broad utility, and the experiments described here demonstrate the unique ability of Nanoparticle Tacking Analysis (NTA) technique to understand dynamics of aggregation in a biological system through high resolution particle-by-particle analysis.

For this work, we used a model system that has been utilized in drug discovery and presents some unique challenges in reagent characterization. This system was generated to allow functional assembly of cloned/recombinant membrane receptors on liposomes, without the necessity of reconstitution of full length receptors. The aim of this study was to correlate previously published activity data1,2 with the changes in size and aggregation state of the liposome-RTK complex as measured by Nanoparticle Tracking Analysis (NTA).  It is expected that the experiments described here represent characterization methods which will be of broad utility to the nanoparticle field. Determination of size, assessment of polydispersity, and identification of components which promote aggregation are all of interest and can all be assessed in these simple experiments.

Liposome Background

Liposomes have been used in drug discovery and drug delivery for some time, and the biophysical characterization of these systems and their payloads is critical to understanding their function. One such payload, which we have focused on here, is the membrane-associated receptor tyrosine kinase (RTK) targets which continue to be the focus of many discovery campaigns. RTKs are typically single-pass transmembrane signaling proteins which are difficult to purify intact, and are important targets in many disease pathways. This model characterization system was chosen for this work because of the abundance of activity data that exists.

For this work, we first investigated the aggregation state of a representative RTK target (kinase domain of insulin receptor).  Next we analyzed the RTK on an engineered cell-like scaffold, specifically a liposome functionalized with nickel-chelated head groups (described in references 1 and 2).  Briefly, the nickel head groups facilitate template-directed self-assembly of his-tagged RTKs, such that the kinase domains (cytoplasmic fragments) are oriented as though within the cell (Figure 1). This analysis was performed using magnesium (Mg) or manganese (Mn) as the available counter-ion in the assay buffer, in order to understand why manganese might be increasing the activity level of kinases despite the understanding that manganese is not a physiologically relevant counter-ion. We hoped to gain insight into the effects of counter-ion using NTA, and to correlate this to previously obtained activity data.

Fig1CellvsSolvsTDA - Blue

Figure1. Liposome - Insulin receptor complexes

The NanoSight range from Malvern Instruments presents a unique capability to rapidly characterize this well-studied drug discovery system by directly visualizing nanoscale particles in suspension (between 10 to 2000 nm), with high-resolution, in real-time and with minimal sample preparation. The NTA technique delivers an unprecedented insight into size distributions through a particle-by-particle approach to particle sizing.  NanoSight provides visual validation and high resolution analysis of particles within the nanoscale range with both size and concentration measurements.  NTA offers a robust analysis of this liposome-protein system and sheds light on this method of kinase activation. 

Materials and Methods

Extruded liposomes and purified protein were obtained from Blue Sky BioServices. Samples were diluted in HEPES buffer prior to analysis by a NanoSight NS300 equipped with a high sensitivity Hamamatsu sCMOS camera, 20x objective lens, and a 50 mW green 532 nm laser.  Samples were analyzed using NTA 3.1 Build 46 software.  NanoSight technology observes the Brownian motion of particles in suspension and calculates their hydrodynamic size through the Stokes-Einstein equation.  It derives concentration by observing particles on a frame-by-frame basis through the use of the sCMOS camera (25 frames per second).  The software determines the number of particles per frame in a field of view and calculates a number-weighted concentration result.

Results and Discussion 

Nanoparticle Tracking Analysis afforded an appreciation of the rapid kinetics with high resolution analysis of aggregation on a real-time basis.  We observed a simultaneous decrease in concentration and increase in size with time in the presence of manganese buffer.  The liposomes clearly aggregated in the presence of Mn (Figures 2 and 4).  Analysis of the insulin receptor RTK domain in HEPES (or Tris) buffer suggested that they further aggregated in the presence of manganese (Figure 3 and 4). This analysis was challenging because the protein itself appeared aggregated to a degree in the absence of either counter ion when noting the initial time curve in both Figures 3 and 4, though there was clearly a notable increase in aggregate size in presence of manganese that was not observed on addition of magnesium. 

Size-distribution profiles of liposomes in manganese-containing buffer measured over time with Nanoparticle Tracking Analysis. At time zero the modal hydrodynamic diameter is approximately 220nm with most particles falling in the 100nm to 325nm size range. After 6 minutes incubation in the buffer this modal peak is lost and the overall measured concentration decreased dramatically with the measured particles in the range 150nm to 500nm. By the end of a 10 minute incubation the overall concentration had dropped further with particles as large as 600nm being measured. These data are indicative of the sample aggregating over time showing that this buffer formulation is not suitable for this liposome sample.

Figure2. Liposomes in Mn buffer show aggregation (increased size and decreased concentration). X axis shows hydrodynamic diameter (nm)

Size-distribution profiles of purified insulin receptors in manganese-containing buffer measured over time with Nanoparticle Tracking Analysis. At time zero the modal hydrodynamic diameter is approximately 200nm although larger particles were also present with a further peak around 350nm. After 6 minutes incubation in the buffer the overall measured concentration decreased and the modal peak occurred at 240nm with a second peak occurring around 425nm. By the end of a 10 minute incubation the overall concentration had dropped further with most of the particles being measured in the 300nm to 500nm size range. These data are indicative of the sample aggregating over time showing that this buffer formulation is not suitable for this insulin receptor sample.  

Figure3. Insulin receptor alone in Mn buffer shows aggregation (increased size and decreased concentration). X axis shows hydrodynamic diameter (nm)

  Size-distribution profiles of insulin receptor RTK domain and liposomes in manganese-containing buffer measured over time with Nanoparticle Tracking Analysis. At time zero the measured particles fall in the range of 85nm to 280nm approximately with major peaks occurring at 110nm, 150nm and 180nm. After 6 minutes incubation in the buffer the overall measured concentration decreased dramatically and the measured particles fell in the 100 to 310nm size range. By the end of a 10 minute incubation the overall concentration had dropped further with most of the particles being measured in the 120nm to 350nm size range. These data are indicative of the sample aggregating over time showing that this buffer formulation is not suitable for this insulin receptor-liposome sample.

Figure4. Insulin receptor and liposome in Mn buffer showing aggregation (increased size and decreased concentration). X axis shows hydrodynamic diameter (nm)

Addition of magnesium to RTK did not cause aggregation and was consistent with previously generated data which showed no appreciable activity on addition of Mg1,2,5 (Figure 5 and 6).

Size-distribution profiles of liposomes in magnesium-containing buffer measured over time with Nanoparticle Tracking Analysis. At zero, 6 and 10 minute incubation particles were measured in the range of 90nm to 225nm with no drop in concentration, indicating that the sample is stable in this buffer.  

Figure5. Liposomes in Mg buffer show stabilized size and concentration. X axis shows hydrodynamic diameter (nm)

Size-distribution profiles of insulin receptor and liposomes in magnesium-containing buffer measured over time with Nanoparticle Tracking Analysis. At zero, 6 and 10 minute incubation particles were measured in the range of 80nm to 230nm with small populations at sizes up to 325nm, approximately. In addition a minimal fall in concentration was observed, indicating that the sample is stable in this buffer.  

Figure6.  Insulin receptor and liposomes in Mg buffer show stabilized size and concentration.X axis shows hydrodynamic diameter (nm)

The idea that magnesium is a biologically relevant counter-ion but its addition does not lead to activity has been puzzling.  Adding Mg to RTK and liposome did not promote aggregation but led to high cell like activity1,2,5.  The RTK potentially assembles on the outside of the liposome in the same manner as it does inside the cell (Figure 1).  Mn causes aggregation and fortuitously increases activity in a cost-effective and simple manner with reasonable reproducibility and robustness.  When RTK is properly self-assembled on a liposome in the presence of magnesium, a biologically relevant counterion, the following benefits are reported1,2,5

  1. increase in autophosphorylation and substrate phosphorylation
  2. highest catalytic rates (except where autophosphorylation is self-inhibitory, Tie2)
  3. improved substrate selectivity 

It is expected that template-assembled enzymes are a better screening tool because the target appears to be in cell-like conformation, and allows unique opportunity for screening protein-protein interactions.  This work points to the need for better understanding of the difference between forced colocalization (or molecular crowding) vs. functional assembly of RTK complexes (for interesting colocalization discussion, see reference 4).  The work presented here is consistent with the theory that manganese is increasing the catalytic activity of some kinases by facilitating formation of aggregated complexes.  

Conclusions 

NTA is a useful technique for accurately characterizing the aggregation behavior of liposome preparations under a range of conditions. The high resolution data provides a unique insight into the aggregation kinetics of these systems. The results here call into question the relevance of compounds selected in high-throughput screening (HTS) assays using Mn as a counter-ion. 

References

(1) Esposito EA, Shrout AL, Weis RM.  J Biomol Screen 2008; 13 (8): 810-6

(2) Shrout AL, Esposito EA, Weirs RM. Chem Biol Drug Des 2008; 71 (3): 278–281

(3) Langmuir, 2007. 23(6): p. 3280-9  

(4) Curr Opin Struct Biol, 2006. 16(6): p. 702-9 

(5) Gridley S, Shrout AL, Esposito EA, Prog. Mol. Bio. Transl. Sci. 2010; 91:209-39

TDA technology used to prepare the liposomes is protected by patent and available via Blue Sky Bioservices for license:  US: 8,541,190 

Inicio de sesión

¿Olvidó su contraseña?
Not registered yet? Create an account