Simoes, C. C. | bioRxiv Science

bioRxiv2022

Repurposing Live Attenuated Trivalent MMR Vaccine as Cost-effective Cancer Immunotherapy

Despite its rising promise, cancer immunotherapy remains out of reach for many patients because of the extensive cost of manufacturing immunotherapy products. In this study, we show that intratumoral injections of the trivalent measles, mumps, and rubella (MMR) live attenuated viral vaccine (LAVs) modulates a potent cytotoxic T-cell antitumor immune response, resulting in tumor growth inhibition and improved survival in syngeneic mouse models of hepatocellular carcinoma and colorectal cancer. Using an integrated transcriptomic and proteomic approach, we demonstrated that mechanistically, MMR exerts its antitumor activity by priming innate and adaptive antitumor immune responses, leading to immunologically coordinated cancer cells death. Our findings highlight a promising potential for LAVs, such as MMR, to be repurposed as cost-effective cancer immunotherapy.

immunology↗

bioRxiv2020

Making WAVES in Breedbase: An Integrated Spectral Data Storage and Analysis Pipeline for Plant Breeding Programs

Visible and near-infrared (vis-NIRS) spectroscopy is a promising tool for increasing phenotyping throughput in plant breeding programs, but existing analysis software packages are not optimized for a breeding context. Additionally, commercial software options are often outside of budget constraints for some breeding and research programs. To that end, we developed an open-source R package, waves, for the streamlined analysis of spectral data with several cross-validation schemes to assess prediction accuracy. Waves is compatible with a wide range of spectrometer models and performs visualization, filtering, aggregation, cross-validation set formation, model training, and prediction functions for the association of vis-NIRS spectra with reference measurements. Furthermore, we have integrated this package into the Breedbase family of open-source databases, expanding the analysis capabilities of this growing digital ecosystem to a number of crop species. Taken together, the standalone and Breedbase versions of waves enhance the accessibility of tools for the analysis of spectral data during the plant breeding process. Core ideasO_LIwaves is an open-source R package for spectral data analysis in plant breeding C_LIO_LIBreeding relevant cross-validation schemes to evaluate predictive accuracy of models C_LIO_LIExtension of Breedbase--an open-source database--to support spectral data storage C_LIO_LIGraphical user interface developed for implementation of waves in Breedbase C_LI

bioinformatics↗