Abstract: Provided herein are compositions comprising T cells expressing a recombinant virus-specific T cell receptor (rTCR-V) specific for a viral antigen restricted by a predetermined HLA type, rTCR-Vs, methods for preparing them, their use for treatment, and libraries containing such rTCR-V or T cells comprising them.

Abstract: Provided herein are compositions comprising isolated T cells specific for one or more viral antigens derived from viruses such as adenovirus (ADV), cytomegalovirus (CMV), BK virus (BKV), Epstein-Barr virus (EBV), human herpes virus 6 (HHV6), John Cunningham virus (JC), or human immunodeficiency virus (HIV), methods for obtaining them, libraries including them, and uses thereof in treating viral infections.

Abstract: Gene expression analysis is generally performed on heterogeneous tissue samples consisting of multiple cell types. Current methods developed to separate heterogeneous gene expression rely on prior knowledge of the cell-type composition and/or signatures—these are not available in most public datasets. We present a novel method to identify the cell-type composition, signatures and proportions per sample without need for a priori information. The method was successfully tested on controlled and semi-controlled datasets and performed as accurately as current methods that do require additional information. As such, this method enables the analysis of cell-type specific gene expression using existing large pools of publically available microarray datasets.

Abstract: Gene expression analysis is generally performed on heterogeneous tissue samples consisting of multiple cell types. Current methods developed to separate heterogeneous gene expression rely on prior knowledge of the cell-type composition and/or signatures—these are not available in most public datasets. We present a novel method to identify the cell-type composition, signatures and proportions per sample without need for a priori information. The method was successfully tested on controlled and semi-controlled datasets and performed as accurately as current methods that do require additional information. As such, this method enables the analysis of cell-type specific gene expression using existing large pools of publically available microarray datasets.