The relationship between host and pathogen is inherently dynamic at the genetic level. A plethora of host defensive systems have evolved to counteract and/or eliminate invading pathogens. These strategies exert selection pressure upon the pathogen, leading to the emergence of mechanisms to combat the host including immune evasion and resistance. Consequently, effective control of rapidly evolving diseases is contingent on the ability to predict pathogen evolution prior to the emergence of resistant phenotypes. Highlighted in this article is a bacteriophage-based technology capable of screening hundreds of millions of binding events simultaneously at single molecule resolution, thus providing an in vitro mimetic of protein evolution. This technology, termed phage escape, can be utilized to model the evolution of proteins in the presence of antibodies or other selective pressure, providing a predictive solution to the coevolution of antigens and the immune system. Foresight into the evolutionary path of an antigen and subsequent neutralization strategies can facilitate more efficacious vaccination formulation and have important implications in the treatment of a range of evolving diseases, including viral infections and cancer.
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http://dx.doi.org/10.1039/b814768j | DOI Listing |
Acta Cir Bras
January 2025
Universidade Federal de Mato Grosso do Sul - Postgraduate Program in Health and Development in the Midwest Region - Campo Grande (MS) - Brazil.
Purpose: To evaluate the molecular evolution of endoplasmic reticulum (ER) stress during colorectal cancer carcinogenesis.
Methods: Fifty-six hairless mice were divided into two groups: control (no intervention); and carcinogenesis (treated with two doses of azoxymethane at 10 mg/kg during the third and the fourth week and dextran sodium sulfate at 2.5% for seven days in the second, fifth, and eighth week).
Sci Adv
January 2025
MRC Laboratory of Medical Sciences (LMS), Du Cane Road, London W12 0NN, UK.
Induction of senescence by chemotherapeutic agents arrests cancer cells and activates immune surveillance responses to contribute to therapy outcomes. In this investigation, we searched for ways to enhance the NK-mediated elimination of senescent cells. We used a staggered screen approach, first identifying siRNAs potentiating the secretion of immunomodulatory cytokines to later test for their ability to enhance NK-mediated killing of senescent cells.
View Article and Find Full Text PDFSci Adv
January 2025
Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China.
Bacterial social interactions play crucial roles in various ecological, medical, and biotechnological contexts. However, predicting these interactions from genome sequences is notoriously difficult. Here, we developed bioinformatic tools to predict whether secreted iron-scavenging siderophores stimulate or inhibit the growth of community members.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Key Laboratory of Evolution & Marine Biodiversity (Ministry of Education) and Institute of Evolution & Marine Biodiversity, Ocean University of China, Qingdao 266003, China.
Stable inheritance of DNA N-methyladenine (6mA) is crucial for its biological functions in eukaryotes. Here, we identify two distinct methyltransferase (MTase) complexes, both sharing the catalytic subunit AMT1, but featuring AMT6 and AMT7 as their unique components, respectively. While the two complexes are jointly responsible for 6mA maintenance methylation, they exhibit distinct enzymology, DNA/chromatin affinity, genomic distribution, and knockout phenotypes.
View Article and Find Full Text PDFPLoS One
January 2025
School of Chemical Engineering, National Technical University of Athens, Zografou, Athens, Greece.
The aim of this study is to demonstrate the enhanced efficiency of combined therapeutic strategies for the treatment of growing tumors, based on computational experiments of a continuous-level modeling framework. In particular, the tumor growth is simulated within a host tissue and treated as a multiphase fluid, with each cellular species considered as a distinct fluid phase. Our model integrates the impact of chemical species on tumor dynamics, and we model -through reaction-diffusion equations- the spatio-temporal evolution of oxygen, vascular endothelial growth factor (VEGF) and chemotherapeutic agents.
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