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Biology subjects

Korner, T.

Publications and source records attributed to Korner, T..

2 recordsLinked to original sources

Potent Neutralization by Antibodies Targeting the Mpox A28 Protein

Mpox is the most pathogenic Poxvirus in circulation. While several antigens have been identified as targets for neutralizing antibodies, many proteins remain unexplored. We isolated and characterized four monoclonal antibodies (mAbs) targeting the Mpox A28 (OPG153), a virulence factor present on mature Mpox virions. The antibodies were isolated from convalescent individuals, alongside 14 additional mAbs targeting the A35 and H3 proteins. Anti-A28 mAbs potently neutralized Mpox and Vaccinia virus (VACV) through complement-dependent mechanisms involving C1q and C3 deposition. High resolution crystal structures of Anti-A28 mAbs 10M2146 and 8M2110 in complex with VACV A26 revealed two proximal epitopes within the N-terminal domain. Passive transfer of 8M2110 attenuated disease in infected mice. Moreover, immunization with A28 elicited antigen-specific B cells and robust neutralizing antibody responses and provided complete protection against lethal VACV challenge. These findings support Mpox A28 as a promising target for the induction of neutralizing antibodies and antiviral interventions.

immunology↗

HiCMC: High-Efficiency Contact Matrix Compressor

Chromosome organization plays an important role in biological processes such as replication, regulation, and transcription. One way to study the relationship between chromosome structure and its biological functions is through Hi-C studies, a genome-wide method for capturing chromosome conformations. Such studies generate vast amounts of data. The problem is exacerbated by the fact that chromosome organization is dynamic, requiring snapshots at different points in time, further increasing the amount of data to be stored. We present a novel approach called the High-Efficiency Contact Matrix Compressor (HiCMC) for efficient compression of Hi-C data. By modeling the underlying structures found in the contact matrix, such as compartments and domains, HiCMC outperforms CMC by approximately 8% and more than 50% against cooler, LZMA, and bzip2 over the state of the art across multiple cell lines and resolutions. In addition, the domain information that is embedded in the data can be used to speed up downstream analysis. HiCMC is available at https://github.com/sXperfect/hicmc.

bioinformatics↗