Alejandro A. Schäffer

TL;DR: In this paper, the authors mined single cell transcriptomics datasets of solid tumors and surveyed many existing CAR targets, aiming to new solid tumor types in which these targets are differentially expressed in tumor cells and not on non-tumor cells within the tumor microenvironment, thus providing new repurposing opportunities.

TL;DR: The viRNAtrap pipeline as discussed by the authors uses a deep learning model trained to discriminate viral RNAseq reads to explore viral expression in cancers and apply it to 14 cancer types from The Cancer Genome Atlas (TCGA).

TL;DR: Analysis of country-specific, tissue-matched cancer-AID incidence rate sex bias data pairs finds that the sex biases observed in the incidence of AIDs and cancers that occur in the same tissue are positively correlated across human tissues.

TL;DR: In this paper , the long-term health risks associated with Glucose-6-phosphate dehydrogenase (G6PD) deficiency had not been studied in a large population.

TL;DR: Ribovore as mentioned in this paper is a software package for sequence analysis of rRNA sequences that combines single-sequence and profile-based methods to improve GenBank processing and analysis of RRNA sequences.