The ELISA is the most worldwide method for immunoassay. However, the ELISA is losing ground due to low reproducibility of manual experimental processes in both R&D and IVD areas. An automated platform is a good solution, but there are still limitations owning to extremely high cost and requiring large space to set up especially for a small size laboratory. Here, we present a novel all-in-one platform called "VEUS" settable on the laboratory table that offers comprehensive automation of the entire multiplex immunoassay process by exploiting antibody conjugated magnetic particles, quality control and then immunoanalytical reaction, thereby enhancing detection sensitivity and high reproducibility. As a proof of concept, the system exhibits a sensitive LOD of 0.6 and 3.1 pg mL within 1 h run, comparable precision that of molecular diagnostic systems based on PCR method, enabling rapid multiplex diagnosis of Influenza A, Influenza B, and COVID-19 viruses with similar symptoms. Through automation by the all-in-one system, it can be used by novice users, something innovative for immunoassays, relying heavily on user experience. Furthermore, it can contribute to streamline entire immunoassay processes of diverse biomarkers with high reproducibility and convenience in laboratories.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1002/biot.202400074 | DOI Listing |
Nat Commun
December 2024
The SKI Stem Cell Research Facility, The Center for Stem Cell Biology and Developmental Biology Program, Sloan-Kettering Institute for Cancer Research, 1275 York Avenue, New York, NY, USA.
Prime editing (PE) allows for precise genome editing in human pluripotent stem cells (hPSCs), such as introducing single nucleotide modifications, small insertions or deletions at a specific genomic locus. Here, we systematically compare a panel of prime editing conditions in hPSCs and generate a potent prime editor, "PE-Plus", through co-inhibition of mismatch repair and p53-mediated cellular stress responses. We further establish an inducible prime editing platform in hPSCs by incorporating the PE-Plus into a safe-harbor locus and demonstrated temporal control of precise editing in both hPSCs and differentiated cells.
View Article and Find Full Text PDFMicrob Cell Fact
December 2024
Department of Chemical Engineering, University of Waterloo, Waterloo, Canada.
Background: Pseudomonas putida KT2440, a non-pathogenic soil bacterium, is a key platform strain in synthetic biology and industrial applications due to its robustness and metabolic versatility. Various systems have been developed for genome editing in P. putida, including transposon modules, integrative plasmids, recombineering systems, and CRISPR/Cas systems.
View Article and Find Full Text PDFBiosens Bioelectron
March 2025
Laboratory of Advanced Biotechnologies for Health Assessments (Lab-HA), Lassonde School of Engineering, York University, Toronto, ON, M3J 1P3 Canada; Department of Electrical Engineering and Computer Science (EECS), Lassonde School of Engineering, York University, Toronto, ON, M3J 1P3, Canada. Electronic address:
Rapid, point-of-care tests are critical for early diagnosis of disease and detection of biological threats. Lateral flow immunoassays (LFIAs) are well-suited for point-of-care testing due to their ease of use and straightforward readout. However, limitations in sensitivity, quantification, and integration into sample-to-result systems indicate the need for further advancements.
View Article and Find Full Text PDFJ Colloid Interface Sci
December 2024
State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, China. Electronic address:
Triple-negative breast cancer (TNBC) with highly malignant and aggressive, still faces challenges in treatment due to the single treatment and side effects. It is urgent to develop an advanced theranostic platform against TNBC. Herein, an "all-in-one" nano-system Au/Cu nanodots/doxorubicin@nanospheres (Au/CuNDs/DOX@NS) with dual-responsive properties was designed for dual-mode imaging-guided combination treatment of TNBC.
View Article and Find Full Text PDFbioRxiv
December 2024
Institute for Informatics, Data Science and Biostatistics (I2DB), Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO, USA.
Artificial intelligence (AI) is revolutionizing scientific discovery because of its super capability, following the neural scaling laws, to integrate and analyze large-scale datasets to mine knowledge. Foundation models, large language models (LLMs) and large vision models (LVMs), are among the most important foundations paving the way for general AI by pre-training on massive domain-specific datasets. Different from the well annotated, formatted and integrated large textual and image datasets for LLMs and LVMs, biomedical knowledge and datasets are fragmented with data scattered across publications and inconsistent databases that often use diverse nomenclature systems in the field of AI for Precision Health and Medicine (AI4PHM).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!