Molecular Biology

Lipid nanoparticles (LNPs) are powerful carriers for nucleic acid delivery, but plasmid DNA-loaded LNPs (pDNA-LNPs) have been limited by inflammation and toxicity. We showed that standard pDNA-LNPs activate the cGAS–STING pathway, leading to severe immune responses and mortality in mice. To overcome this, we co-loaded nitro-oleic acid (NOA), an endogenous STING inhibitor, into pDNA-LNPs. NOA-pDNA-LNPs mitigated inflammation, enabled safe in vivo delivery, and supported sustained gene expression for months. Here, we present a detailed protocol for producing and characterizing NOA-pDNA-LNPs to facilitate safer, long-term gene delivery applications.

This protocol describes a standardized and economically accessible method for synthesizing mRNA-encapsulated lipid nanoparticles using routine laboratory equipment, including precision syringe pumps, Y-shaped glass microfluidic chips, and silicone tubing. Designed to address the cost and accessibility limitations of commercial microfluidic platforms, the system achieves performance metrics comparable to high-end devices while reducing equipment costs by 90%. By systematically optimizing hydrodynamic parameters (total flow rate: 12 mL/min; lipid-to-aqueous phase ratio: 3:1), the protocol enables consistent production of lipid nanoparticles with key quality attributes: high mRNA encapsulation efficiency (≥ 80%), narrow particle size distribution (100–120 nm, polydispersity index ≤ 0.2), and excellent storage performance (≥ 7 days at 4 °C ).

It has been discovered that many phytopathogenic fungi can absorb exogenous double-stranded RNAs (dsRNAs) to silence target genes, inhibiting fungal growth and pathogenicity for plant protection. In our recent report, the beneficial arbuscular mycorrhizal (AM) fungi are capable of acquiring external naked dsRNAs; however, whether the dsRNAs can be delivered into AM fungi through nanocarriers remains to be investigated. Here, we introduce a simple and advanced method for in vitro synthesizing chitosan (CS)/dsRNA polyplex nanoparticles (PNs) to silence the target gene in the AM fungus Rhizophagus irregularis. This method is straightforward, requiring minimal modifications, and is both efficient and eco-friendly, offering potential for rapid application in elucidating gene functions in AM fungi.

Efficient and nontoxic delivery of foreign cargo into cells is a critical step in many biological studies and cell engineering workflows with applications in areas such as biomanufacturing and cell-based therapeutics. However, effective molecular delivery into cells involves optimizing several experimental parameters. In the case of electroporation-based intracellular delivery, there is a need to optimize parameters like pulse voltage, duration, buffer type, and cargo concentration for each unique application. Here, we present the protocol for fabricating and utilizing a high-throughput multi-well localized electroporation device (LEPD) assisted by deep learning–based image analysis to enable rapid optimization of experimental parameters for efficient and nontoxic molecular delivery into cells. The LEPD and the optimization workflow presented herein are relevant to both adherent and suspended cell types and different molecular cargo (DNA, RNA, and proteins). The workflow enables multiplexed combinatorial experiments and can be adapted to cell engineering applications requiring in vitro delivery.

Lipid nanoparticle (LNP)-based drug delivery systems (DDSs) are widely recognized for their ability to enhance efficient and precise delivery of therapeutic agents, including nucleic acids like DNA and mRNA. Despite this acknowledgment, there is a notable knowledge gap regarding the systemic biodistribution and organ accumulation of these nanoparticles. The ability to track LNPs in vivo is crucial for understanding their fate within biological systems. Fluorescent labeling of LNPs facilitates real-time tracking, quantification, and visualization of their behavior within biological systems, providing valuable insights into biodistribution, cellular uptake, and the optimization of drug delivery strategies. Our prior research established reversely engineered LNPs as an exceptional mRNA delivery platform for treating ulcerative colitis. This study presents a detailed protocol for labeling interleukin-22 (IL-22) mRNA-loaded LNPs, their oral administration to mice, and visualization of DiR-labeled LNPs biodistribution in the gastrointestinal tract using IVIS spectrum. This fluorescence-based approach will assist researchers in gaining a dynamic understanding of nanoparticle fate in other models of interest.

Interleukin-22 (IL-22) has been demonstrated as a critical regulator of epithelial homeostasis and repair; it showed an anti-inflammatory effect against ulcerative colitis. Local microinjection of IL-22 cDNA vector has been shown to be effective in treating ulcerative colitis in mouse models. However, microinjection comes with multiple technical challenges for routine colon-targeted drug delivery. In contrast, oral administration can get around these challenges and provide comparable efficacy. We showed in previous studies that oral administration of new lipid nanoparticles (nLNP)-encapsulated IL-22 mRNA targets the colon region and efficiently ameliorates colitis. This protocol describes the details of preparing and characterizing the nLNP-encapsulated IL-22 mRNA using three major lipids that mimic the natural ginger-derived nanoparticles. It provides an nLNP platform that can be used to orally deliver other types of nucleic acids to the colon.

In this study, we introduce a detailed protocol for the preparation of DNA-assembled GRS-DNA-copper sulfide (CuS) nanodandelion, a multifunctional theranostics nanoparticle. Using transmission electron microscope (TEM) and dynamic light scattering techniques, we characterize the physicochemical property of DNA-assembled GRS-DNA-CuS nanodandelions and their dissociation property after the first near-infrared (NIR) light irradiation. In addition, we systematically monitor the processes of tumor accumulation and uniform intratumoral distribution (UITD) of ultrasmall CuS photothermal agents (PAs), which are dissociated from GRS-DNA-CuS nanodandelions, by Raman imaging and photoacoustic imaging, respectively. The UITD of the dissociated ultrasmall CuS PAs can enhance the therapeutic efficiency of photothermal treatment under the second NIR light irradiation. Overall, this protocol provides a powerful tool to achieve UITD of PAs by explosively breaking the hydrogen bonds of DNA in GRS-DNA-CuS nanodandelions under NIR light irradiation. We expect DNA-assembled nanotheranostics to serve as a robust platform for a variety of biomedical applications related to photothermal therapy in the oncology field. This protocol can increase experimental reproducibility and contribute to efficient theranostics nanomedicine.

Plant nanobiotechnology is a flourishing field that uses nanomaterials to study and engineer plant function. Applications of nanotechnology in plants have great potential as tools for improving crop yield, tolerance to disease and environmental stress, agrochemical delivery of pesticides and fertilizers, and genetic modification and transformation of crop plants. Previous studies have used nanomaterials functionalized with chemicals, including biocompatible polymers with charged, neutral, or hydrophobic functional groups, to improve nanomaterial uptake and localization in plant cells. Recently, the use of biorecognition motifs such as peptides has been demonstrated to enable the targeted delivery of nanoparticles in plants (Santana et al., 2020). Herein, we describe a bio-protocol to target nanoparticles with chemical cargoes to chloroplasts in plant leaves and assess targeting efficiency using advanced analytical tools, including confocal microscopy and elemental analysis. We also describe the use of isothermal titration calorimetry to determine the affinity of nanomaterials for their chemical cargoes. Nanotechnology-based methods for targeted delivery guided by conserved plant molecular recognition mechanisms will provide more robust plant bioengineering tools across diverse plant species.

Graphic abstract:

Targeted delivery of nanomaterials with chemical cargoes to chloroplasts enabled by plant biorecognition

The design of effective nanoformulations that target metastatic breast cancers is challenging due to a lack of competent imaging and image analysis protocols that can capture the interactions between the injected nanoparticles and metastatic lesions. Here, we describe the integration of in vivo whole-body PET-CT with high temporal resolution, ex vivo whole-organ optical imaging and high spatial resolution confocal microscopy to deconstruct the trafficking of injectable nanoparticle generators encapsulated with polymeric doxorubicin (iNPG-pDox) in pulmonary metastases of triple-negative breast cancer. We describe the details of image acquisition and analysis in a step-wise manner along with the development of a mouse model for metastatic breast cancer. The methods described herein can be easily adapted to any nanoparticle or disease model, allowing a standardized pipeline for in vivo preclinical studies that focus on delineating nanoparticle kinetics and interactions within metastases.

During swarming, high density flagella-driven bacteria migrate collectively in a swirling pattern on wet agar surfaces, immersed in a thin viscous fluid layer called “swarm fluid”. Though the fluid environment has essential role in the emergence of swarming behavior, the microscopic mechanisms of it in mediating the cooperation of bacteria populations are not fully understood. Here, instead of micro-sized tracers used in previous research, we use gold nanorods as single particle tracers to probe the dynamics of the swarm fluid. This protocol includes five major parts: (1) the culture of swarming bacterial colony; (2) the preparations of gold nanorod tracers and the micro-spraying technique which are used to put the nanotracers into the upper fluid of bacterial swarms; (3) imaging and tracking; (4) other necessary control experiments; (5) data analysis and fitting of physical models. With this method, the nano-sized tracers could move long distances above motile cells without direct collisions with the bacteria bodies. In this way, the microscopic dynamics of the swarm fluid could be tracked with high spatiotemporal resolution. Moreover, the comprehensive analysis of multi-particle trajectories provides systematic visualization of the fluid dynamics. The method is promising to probe the fluid dynamics of other natural or artificial active matter systems.