Project description:The continuous evolution of SARS-CoV-2 poses global health challenges. A safe, rapid, and versatile method for assessing functions of Spike protein mutations in ACE2 receptor binding and immune evasion would be highly valuable. To address this, we engineered a transcription- and replication-competent virus-like particle (trVLP) derived from the Sindbis virus, pseudotyped with the SARS-CoV-2 receptor binding domain (RBD). This trVLP exclusively propagates in BHK-21 cell engineered to express both RNA replicase and human ACE2, providing a controllable, safe model of SARS-CoV-2 RBD-ACE2 interaction mediated virus entry. The system enables characterization of RBD interactions with ACE2 from various mammalian hosts, demonstrating its utility for studying host-virus interactions. By leveraging the evolutionary capability of trVLP mediated by error-prone RNA replication, we screened for RBD variants that evade the antibody-mediated inhibition of cell entry. Together, these findings underscore the utility of the trVLP as a safe, rapid, and flexible platform for dissecting SARS-CoV-2 RBD evolution and identifying key adaptive mutations with implications for surveillance and countermeasure development.
Project description:Background
Cancer is one of the leading causes for the morbidity and mortality worldwide. Although substantial studies have been conducted theoretically and experimentally in recent years, it is still a challenge to explore the mechanisms of cancer initiation and progression. The investigation for these problems is very important for the diagnosis of cancer diseases and development of treatment schemes.
Results
To accurately describe the process of cancer initiation, we propose a new concept of gene initial mutation rate based on our recently designed mathematical model using the non-constant mutation rate. Unlike the widely-used average gene mutation rate that depends on the number of mutations, the gene initial mutation rate can be used to describe the initiation process of a single patient. In addition, we propose the instantaneous tumour doubling time that is a continuous function of time based on the non-constant mutation rate. Our proposed concepts are supported by the clinic data of seven patients with advanced pancreatic cancer. The regression results suggest that, compared with the average mutation rate, the estimated initial mutation rate has a larger value of correlation coefficient with the patient survival time. We also provide the estimated tumour size of these seven patients over time.
Conclusions
The proposed concepts can be used to describe the cancer initiation and progression for different patients more accurately. Since a quantitative understanding of cancer progression is important for clinical treatment, our proposed model and calculated results may provide insights into the development of treatment schemes and also have other clinic implications.