Tumor-derived extracellular vesicle (tEV)-associated RNAs are promising diagnostic biomarkers, but their clinical use is limited by the rarity of tEVs. EV-CLIP, a sensitive droplet-based digital method, addresses this by profiling EV RNA through fusion with charged liposomes (CLIPs) on a microfluidic chip. This method offers high sensitivity and selectivity for EV-derived miRNAs and mRNAs using minimal plasma volume (20 µL), without prior EV isolation or RNA preparation. In a study of 83 patient samples, EV-CLIP detected EGFR mutations with high accuracy, and its effectiveness in serial monitoring during chemotherapy underscores its potential for precise quantification of rare EV subpopulations, aiding in the exploration of single EV RNA content and understanding diverse EV populations in various diseases.

Current in vitro models of 3D tumor spheroids lack functional vasculature, limiting their utility in studying tumor progression and drug responses. This study introduces the ODSEI chip, a novel open 3D-microarray platform that arrays over 1,000 tumor spheroids atop vasculature, enabling single-spheroid-level drug resistance analysis and extraction for further study. Using this platform, the crosstalk between breast cancer spheroids and vasculature revealed that endothelial cells contribute to acquired tamoxifen resistance. Single-cell RNA sequencing and protein arrays identified key pathways (TNF-α via NF-κB and mTOR) and cytokines (IL-8, TIMP1) driving resistance. Targeting these cytokines successfully reversed tamoxifen resistance, highlighting the ODSEI chip’s potential to advance tumor biology research and therapeutic development.

Raman spectroscopy provides sensitive, non-destructive molecular insights into bacteria but faces challenges with accuracy and reproducibility. This study presents a novel diagnostic tool, the plasmonic fidget spinner (P-FS), combining a nanoplasmonic-enhanced membrane substrate with a customized fidget spinner for simultaneous bacterial filtration and detection. Using photolithography, a plasmonic microarray is patterned on a nitrocellulose membrane integrated into the P-FS. Tests with various bacterial species demonstrated enhanced sensitivity through nanoplasmonic hotspots, enabling precise identification via unique Raman fingerprints. Machine learning transforms SERS intensity mappings into digital signals for bacterial identification and quantification. This scalable technology offers a promising platform for ultrasensitive bacterial detection and broader analyte analysis.

Extracellular vesicles (EVs) are lipid vesicles involved in cell-to-cell communication and hold significant potential as biomarkers for liquid biopsies in disease screening and monitoring. However, plasma lipoproteins (LPs), which share similar characteristics and outnumber EVs, hinder accurate EV analysis. This study introduces a two-step EV isolation method using a lab-on-a-chip device. The process begins with size-based filtration via a lab-on-a-disc system to collect EVs and LPs, followed by dielectrophoretic (DEP) purification using slanted interdigitated microelectrodes. At 10 kHz, DEP forces separate EVs from LPs efficiently, directing EVs to the collection outlet while removing LPs as waste. This integrated approach significantly improves the purity and reliability of EV-based liquid biopsies.

The vascular system is crucial for organ health through oxygen and nutrient delivery, as well as facilitating communication via signaling molecules and drug transport. Engineers work to recreate these systems, focusing on cellular interactions and environmental conditions. Extracellular vesicles (EVs) are emerging as important carriers of proteins and genetic material between cells, and vascularized platforms provide ideal systems to study how EVs interact with blood vessels. This research advances our understanding of EV-mediated processes and supports the development of EV-based treatments.

Prostate cancer (PCa) is a growing public health concern among elderly men, with current treatments often failing to provide long-lasting responses, especially in advanced cases. Extracellular vesicles (EVs), which carry various biomolecules, have shown significant potential in diagnostics and therapeutics over the past decade. EV-based liquid biopsies offer non-invasive biomarkers for guiding treatment decisions and staging patients. They also play critical roles in tumor progression processes like proliferation, metastasis, and drug resistance. Furthermore, EVs are promising drug carriers, with both natural and engineered EVs facilitating new treatment modalities. This review highlights recent advancements in EV therapies and their potential as innovative interventions for PCa.

Anti-PD-L1 antibody therapies are effective for metastatic urothelial cancer with high PD-L1 expression. Urinary exosomes are promising biomarkers, but urine variability requires normalization for accurate analysis. This study proposes using the PD-L1/Alix ratio for normalization, as Alix is less affected by heterogeneity. EVs were isolated with ExoDisc and analyzed using ExoView and on-disc ELISA. In 15 urothelial cancer patients, the Alix signal was consistent, while tetraspanin intensity varied. On-disc ELISA outperformed standard plate ELISA in detecting exosomal PD-L1. Normalizing PD-L1 with Alix offers a reliable method for monitoring patient status and detecting exosomal PD-L1 in urine samples.

... Today, Lab on a Chip has transformed into a unique forum for multidisciplinary work where miniaturization, automation and integration demonstrate a profound impact across diverse fields and has become the journal to publish work in this area relating to biology, medicine, materials science, environmental monitoring, energy, and so much more. Microfluidic, nanofluidic and miniaturized systems now span a long list of disciplines, and our community encompasses more researchers than ever before, including engineers, chemists, biologists, biomedical scientists, physicists, materials scientists, and many others across academia, industry, and clinical practices....

Extracellular vesicles (EVs), through their complex cargo, can reflect the state of their cell of origin and change the functions and phenotypes of other cells. These features indicate strong biomarker and therapeutic potential and have generated broad interest, as evidenced by the steady year‐on‐year increase in the numbers of scientific publications about EVs. Important advances have been made in EV metrology and in understanding and applying EV biology. However, hurdles remain to realising the potential of EVs in domains ranging from basic biology to clinical applications due to challenges in EV nomenclature, separation from non‐vesicular extracellular particles, characterisation and functional studies. To address the challenges and opportunities in this rapidly evolving field, the International Society for Extracellular Vesicles (ISEV) updates its ‘Minimal Information for Studies of Extracellular Vesicles’,...

A key challenge in using extracellular vesicles (EVs) for drug delivery is controlling membrane permeability without compromising their integrity. A new method, utilizing tonicity control (TC) on a lab-on-a-disc platform, addresses this by using a hypotonic solution to temporarily permeabilize the EV membrane for cargo loading, followed by isotonic washing to reseal it. This technique effectively loads various cargos, such as doxorubicin, ssDNA, and miRNA, with significantly higher yields than traditional methods like sonication or extrusion. Intracellular assessments of miRNA-497 and doxorubicin-loaded EVs confirmed the superior performance of TC-prepared EVs, highlighting their potential for developing novel exosome-based therapeutic systems for clinical applications.

Here, we present EV precipitation by ionic strength modulation (ExoPRISM), a simple, low-cost, user-friendly, and readily adaptable approach for separating EVs in high yields without compromising their biological functions. Adding an electrolyte solution to blood plasma in small increments generates the sequential precipitation of proteins and EVs, allowing for fractional separation of EVs using low-speed centrifugation. The coprecipitated electrolytes are easily washed away, and the entire EV separation and washing process takes less than an hour. This approach successfully separates EVs from a broad range of volumes and types of biological fluids, including culture medium, urine, plasma, and serum, showing promise as a robust tool for next-generation liquid biopsies and regenerative medicine.

"bind and kill" strategy utilizing a biologically interfaced nanoreactor with platelet membrane-coated surfaces is introduced for synthesizing an antimicrobial drug through biorthogonal chemistry. The nanoreactor exploits the diverse functional proteins found in human platelets, enabling selective binding to a broad range of bacteria and effectively eliminate pathogenic biofilms formed on human teeth while maintaining excellent biocompatibility.

Chemotherapy resistance is a major factor contributing to cancer-related deaths. While researchers have studied the molecular mechanisms of resistance, less is known about the cell biology of cancer cells surviving chemotherapy. Here, we focus on prostate cancer cells treated with cisplatin and found that surviving cells grew larger, had larger nuclei, and employed efficient DNA damage repair. These cells also exhibited distinct nucleolar features and increased ribosomal RNA levels. This suggests that after chemotherapy, most cells with severe DNA damage die, while a minority adapt to a pro-survival state known as the polyaneuploid cancer cell (PACC) state. Understanding these characteristics is crucial for combating cancer resistance and recurrence.

Dendritic cells (DCs) are responsible for initiating and controlling immune responses and exhibit a heterogeneous and dynamic migratory behavior that is important for their function. We used unsupervised machine learning to analyze long-term cell migration trajectories and identified three distinct migratory modes: slow-diffusive, slow-persistent, and fast-persistent. We found that the distribution and dynamic transitions of these modes are related to the maturation status of the DCs, with immature DCs exhibiting more frequent mode changes than mature DCs. Additionally, we observed that immature DCs follow a unicyclic transition from diffusive to persistent motility, while mature DCs show no directionality in their transitions. The study highlights the complexity of biological motility and the potential of machine learning to provide new insights into this process.

EVs have a high loading capacity, bio-compatibility, and stability, making them ideal for producing effective drugs and diagnostics. The unique properties of fused EVs and the crucial design and development procedures that are necessary to realize their potential as drug carriers and diagnostic tools are examined. The promise of EVs in various stages of disease management highlights their potential role in future healthcare.