bioRxiv Science⌕ Search

bioRxiv · 10.1101/2022.12.12.520108

Surfactant Proteins SP-B and SP-C in Pulmonary Surfactant Monolayers: Physical Properties Controlled by Specific Protein-Lipid Interactions

Abstract

The lining of the alveoli is covered by pulmonary surfactant, a complex mixture of surface-active lipids and proteins that enables efficient gas exchange between inhaled air and the circulation. Despite decades of advancements in the study of the pulmonary surfactant, the molecular scale behavior of the surfactant and the inherent role of the number of different lipids and proteins in surfactant behavior are not fully understood. The most important proteins in this complex system are the surfactant proteins SP-B and SP-C. Given this, in this work we performed non-equilibrium all-atom molecular dynamics simulations to study the interplay of SP-B and SP-C with multi-component lipid monolayers mimicking the pulmonary surfactant in composition. The simulations were complemented by z-scan fluorescence correlation spectroscopy and atomic force microscopy measurements. Our state-of-the-art simulation model reproduces experimental pressure-area isotherms and lateral diffusion coefficients. In agreement with previous research, the inclusion of either SP-B and SP-C increases surface pressure, and our simulations provide a molecular scale explanation for this effect: The proteins display preferential lipid interactions with phosphatidylglycerol, they reside predominantly in the lipid acyl chain region, and they partition into the liquid expanded phase or even induce it in an otherwise packed monolayer. The latter effect is also visible in our atomic force microscopy images. The research done contributes to a better understanding of the roles of specific lipids and proteins in surfactant function, thus helping to develop better synthetic products for surfactant replacement therapy used in the treatment of many fatal lung-related injuries and diseases.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Liekkinen, J., Olzynska, A., Cwiklik, L., Bernardino de la Serna, J., Vattulainen, I., Javanainen, M.. 2022-12-12. Surfactant Proteins SP-B and SP-C in Pulmonary Surfactant Monolayers: Physical Properties Controlled by Specific Protein-Lipid Interactions. https://doi.org/10.1101/2022.12.12.520108

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

A Deformulating Multi-Attribute SEC Method for Simultaneous Quantification of Total RNA, Conjugated Antibody, and Free Antibody in Targeted Lipid Nanoparticles

Targeted lipid nanoparticles (tLNPs) hold promise for improving cell- and tissue-selective delivery of therapeutic payloads but introduce analytical challenges associated with characterizing both encapsulated cargo and surface-associated targeting ligands within the same formulation. Conventional nucleic acid and protein assays can be affected by nanoparticle scattering, matrix interference, or a limited ability to distinguish conjugated antibody from free antibody. Here, we report an online deformulating size-exclusion high-performance liquid chromatography (SE-HPLC) method that enables simultaneous quantification of total RNA, conjugated antibody, and free antibody from 5 L of tLNP sample. Following injection, exposure to a mobile phase containing sodium dodecyl sulfate and isopropanol disrupts the nanoparticles, enabling chromatographic separation of RNA, conjugated antibody, and free (unconjugated) antibody while minimizing sample handling prior to analysis. RNA was quantified by UV260 detection, whereas antibody was quantified by UV280 or intrinsic fluorescence detection to maximize sensitivity. The method demonstrated linear response over the evaluated concentration ranges, spike recoveries of 88-122%, and precision below 5% relative standard deviation. Application to purified tLNP formulations demonstrated simultaneous assessment of total RNA and conjugated antibody content, while confirming the absence of detectable free antibody following purification. Together, these results establish online deformulating SE-HPLC as a practical multi-attribute analytical method for characterization of tLNPs, enabling concurrent assessment of total RNA concentration, conjugated antibody concentration, and free antibody concentration using standard HPLC instrumentation.

biophysics↗

Nanomechanical phenotyping uncovers a non-canonical smooth muscle-like hypercontractility program in lung squamous cell carcinoma myofibroblasts

Myofibroblast-like cancer-associated fibroblasts (myCAFs) drive the stiff, tumor-promoting microenvironment, yet their mechanical phenotype in non-small cell lung cancer (NSCLC) remains undefined. myCAFs from major NSCLC subtypes (lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC)) were examined combining atomic force microscopy and traction force microscopy with molecular and signaling analyses. LUAD-myCAFs displayed canonical myofibroblast features, including elevated stiffness, traction forces, ROCK-MYPT1 signaling, and -SMA-rich stress fibers. Unexpectedly, LUSC-myCAFs amplified these nanomechanical features despite reduced ROCK-MYPT1 signaling and comparable -SMA levels. Instead, they exhibited a smooth muscle cell (SMC)-like contractile program characterized by enhanced SM-MHC(MYH11) expression colocalized with -SMA, ERK1/2-RLC hyperactivation, and DNA methylation reprogramming including SMC-contractility regulators. LUSC-myCAF hypercontractility was linked with reduced proliferative capacity and smaller intratumoral vessel lumens, consistent with the low CAF density and enhanced hypoxia patterns reported in LUSC. SMC markers were enriched and associated with adverse outcomes selectively in LUSC, highlighting the relevance of SMC-like myCAFs in LUSC progression. These findings unveil subtype-specific myCAF programs in NSCLC, and identify -SMA/SM-MHC(MYH11) myCAFs as key determinants of tumor mechanics, providing a rationale for the survival benefits of antihypertensive drugs targeting SMC hypercontractility. Moreover, they demonstrate that nanomechanical phenotyping can uncover translationally relevant myCAF phenotypes invisible to molecular profiling.

biophysics↗

Engineering Nanobody Conformational Switches

Conformational signaling is widely used in biology, but remains difficult to engineer into proteins. Here, we explore ligand-induced folding of nanobodies as a general strategy to generate conformational receptors for a broad range of target ligands. More specifically, we have generated partially unfolded nanobody variants that fold exclusively upon binding to their target ligand. To do so, we have introduced destabilizing mutations in the framework region, carefully tuning their stability while preserving molecular recognition. Given the high conservation of the framework across different nanobodies, this approach is broadly applicable to many other target ligands, which has enabled us to engineer conformational switches for three different important biomarkers and drugs: the pregnancy hormone chorionic gonadotropin, the cytokine tumor necrosis factor alpha, and the chemotherapy and immunosuppressant drug methotrexate. Another useful property of conformational signaling is that it can directly gate signal transduction, which we have leveraged to build an optical sensor for the quantitative detection of the pregnancy hormone in urine. Finally, conformational signaling introduces new mechanisms for the allosteric modulation of binding, which we have explored to control the affinity and dynamic range of the sensor. Our work thus establishes a rational strategy for engineering conformational signaling receptors with customizable properties and generalizable for many different target ligands.

biophysics↗