Phasor approaches simplify the analysis of tryptophan fluorescence data in protein denaturation studies

Introducing the multi-dimensional spectral phasors: a tool for the analysis of fluorescence excitation-emission matrices

The use of phasors to analyze fluorescence data was first introduced for time-resolved studies for a simpler mathematical analysis of the fluorescence-decay curves. Recently, this approach was extended to steady-state experiments with the introduction of the spectral phasors (SP), derived from the Fourier transform of the fluorescence emission spectrum. In this work, we revise key mathematical aspects that lead to an interpretation of SP as the characteristic function of a probability distribution. This formalism allows us to introduce a new tool, called multi-dimensional spectral phasor (MdSP) that seize, not only the information from the emission spectrum, but from the full excitation-emission matrix (EEM). In addition, we developed a homemade open-source Java software to facilitate the MdSP data processing. Due to this mathematical conceptualization, we settled a mechanism for the use of MdSP as a tool to tackle spectral signal unmixing problems in a more accurate way than SP. As a proof of principle, with the use of MdSP we approach two important biophysical questions: protein conformational changes and protein-ligand interactions. Specifically, we experimentally measure the EEM changes upon denaturation of human serum albumin (HSA) or during its association with the fluorescence dye 1,8-anilinonaphtalene sulphate (ANS) detected via tryptophan-ANS Förster Resonance Energy Transfer (FRET). In this sense, MdSP allows us to obtain information of the system in a simpler and finer way than the traditional SP. Specifically, understanding a protein's EEM as a molecular fingerprint opens new doors for the use of MdSP as a tool to analyze and comprehend protein conformational changes and interactions.

The influence of myristoylation, liposome surface charge and nucleic acid interaction in the partition properties of HIV-1 Gag-N-terminal peptides to membranes

The group-specific antigen (GAG) polyprotein of HIV-1 is the main coordinator of the virus assembly process at the plasma membrane (PM) and is directed by its N-terminal matrix domain (MA). MA is myristoylated and possess a highly basic region (HBR) responsible for the interaction with the negative lipids of the PM, especially with PIP₂. In addition, MA binds RNA molecules proposed as a regulatory step of the assembly process. Here we study the interaction of a synthetic peptide (N-terminal 21 amino acids of MA) and liposomes of different compositions using a variety of biophysical techniques. Particularly, we use the fluorescence properties of the single tryptophan of the peptide to analyze its partition to membranes, where we harness for first time the analytical ability of spectral phasors method to study this interaction. We found that electrostatic interactions play an important role for peptide partition to membranes and myristoylation reduces the free energy of the process. Interestingly, we observe that while the presence of PIP₂ does not cause measurable changes on the peptide-membrane interaction, the interaction is favored by cholesterol. Additionally, we found that the partition process goes through a transition state involving peptide disaggregation and changes in the peptide secondary structure. On the other hand, we found that the presence of oligonucleotides competes with the interaction with lipids by increasing peptide solubility. In summary, we think that our results, in context of the current knowledge of the role of HIV-1 MA, contribute to a better molecular understanding of the membrane association process.

Multi-component quantitative magnetic resonance imaging by phasor representation

Quantitative magnetic resonance imaging (qMRI) is a versatile, non-destructive and non-invasive tool in life, material, and medical sciences. When multiple components contribute to the signal in a single pixel, however, it is difficult to quantify their individual contributions and characteristic parameters. Here we introduce the concept of phasor representation to qMRI to disentangle the signals from multiple components in imaging data. Plotting the phasors allowed for decomposition, unmixing, segmentation and quantification of our in vivo data from a plant stem, a human and mouse brain and a human prostate. In human brain images, we could identify 3 main T₂ components and 3 apparent diffusion coefficients; in human prostate 5 main contributing spectral shapes were distinguished. The presented phasor analysis is model-free, fast and accurate. Moreover, we also show that it works for undersampled data.

Model-free methods to study membrane environmental probes: a comparison of the spectral phasor and generalized polarization approaches

In this note, we present a discussion of the advantages and scope of model-free analysis methods applied to the popular solvatochromic probe LAURDAN, which is widely used as an environmental probe to study dynamics and structure in membranes. In particular, we compare and contrast the generalized polarization approach with the spectral phasor approach. To illustrate our points we utilize several model membrane systems containing pure lipid phases and, in some cases, cholesterol or surfactants. We demonstrate that the spectral phasor method offers definitive advantages in the case of complex systems.