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Structural insights into hybridoma-derived neutralizing monoclonal antibodies against Omicron BA.5 and XBB.1.16 variants of SARS-CoV-2.
J Virol
January 2025
State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Science, Wuhan, China.
Unlabelled: The emergence of novel variants of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) continues to pose an ongoing challenge for global public health services, highlighting the urgent need for effective therapeutic interventions. Neutralizing monoclonal antibodies (mAbs) are a major therapeutic strategy for the treatment of COVID-19 and other viral diseases. In this study, we employed hybridoma technology to generate mAbs that target the BA.
View Article and Find Full Text PDFDevelopment of a recombinant human IgG1 monoclonal antibody against the TRBV5-1 segment of the T cell receptor for the treatment of mature T cell neoplasms.
Front Immunol
January 2025
Dipartimento di Biomedicina e Prevenzione, Università di Roma Tor Vergata, Rome, Italy.
Background: Mature T-cell neoplasms arise from the neoplastic transformation of a single T lymphocyte, and all cells in a neoplastic clone share the same V segment in the beta chain of the T-cell receptor (TCR). These segments may represent an innovative target for the development of targeted therapies.
Methods: A specific V segment of the TCR beta chain (TRBV5-1) was analyzed using bioinformatic tools, identifying three potential antigenic peptides.
High-throughput specificity profiling of antibody libraries using ribosome display and microfluidics.
Cell Rep Methods
December 2024
GigaGen, Inc. (a Grifols company), San Carlos, CA, USA. Electronic address:
In this work, we developed PolyMap (polyclonal mapping), a high-throughput method for mapping protein-protein interactions. We demonstrated the mapping of thousands of antigen-antibody interactions between diverse antibody libraries isolated from convalescent and vaccinated COVID-19 donors and a set of clinically relevant SARS-CoV-2 spike variants. We identified over 150 antibodies with a variety of distinctive binding patterns toward the antigen variants and found a broader binding profile, including targeting of the Omicron variant, in the antibody repertoires of more recent donors.
View Article and Find Full Text PDFNegative binomial mixture model for identification of noise in antibody-antigen specificity predictions from single-cell data.
Bioinform Adv
December 2024
Program in Chemical and Physical Biology, Vanderbilt University Medical Center, Nashville, TN, 37232, United States.
Motivation: LIBRA-seq (linking B cell receptor to antigen specificity by sequencing) provides a powerful tool for interrogating the antigen-specific B cell compartment and identifying antibodies against antigen targets of interest. Identification of noise in single-cell B cell receptor sequencing data, such as LIBRA-seq, is critical for improving antigen binding predictions for downstream applications including antibody discovery and machine learning technologies.
Results: In this study, we present a method for denoising LIBRA-seq data by clustering antigen counts into signal and noise components with a negative binomial mixture model.
Transdermal Minimally Invasive Optical Multiplex Detection of Protein Biomarkers by Nanopillars Array-Embedded Microneedles.
ACS Nano
November 2024
Department of Materials Science and Engineering, The Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University, Tel Aviv 69978, Israel.
Biomarkers detection has become essential in medical diagnostics and early detection of life-threatening diseases. Modern-day medicine relies heavily on painful and invasive tests, with the extraction of large volumes of venous blood being the most common tool of biomarker detection. These tests are time-consuming, complex, expensive and require multiple sample manipulations and trained staff.
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