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Biology subjects

Saravanan, N.

Publications and source records attributed to Saravanan, N..

2 recordsLinked to original sources

A differentiated and durable allogeneic strategy applicable to cell therapies

Autologous T cell therapies have shown profound clinical responses; however, their widespread use has been limited primarily due to their individualized manufacturing requirements. To develop a persistent "off-the-shelf" allogeneic (Allo) approach, a multiplex Nme2Cas9-based cytosine base editor was deployed to knockout select HLA Class I and II alleles (HLA-A, HLA-B, and the class II transactivator (CIITA)), while retaining HLA-C to protect from NK cell rejection. Matching the residual HLA-C allele from homozygous donors to the host prevented rejection of the donor T cells by allogeneic host T and NK cells. Site-specific integration of a tumor-specific CAR or TCR into the TRAC locus using SpyCas9 nuclease and an adeno-associated virus (AAV) template allowed for high localized insertion rate while simultaneously removing the endogenous TCR and preventing GvHD. Using a lipid nanoparticle (LNP)-based delivery system of the editing components enabled a robust cell engineering process, achieving high editing rates and cell expansion. These allogeneic T cells demonstrated comparable functional activity to their autologous counterparts in preclinical assays. Moreover, this gene editing approach generated cells with minimal chromosomal aberrations. The Allo strategy has also been applied to induced pluripotent stem cells (iPSCs), suggesting potential applications in regenerative medicine applications.

bioengineering↗

hipFG: High-throughput harmonization and integration pipeline for functional genomics data

SummaryPreparing functional genomic (FG) data with diverse assay types and file formats for integration into analysis workflows that interpret genome-wide association and other studies is a significant and time-consuming challenge. Here we introduce hipFG, an automatically customized pipeline for efficient and scalable normalization of heterogenous FG data collections into standardized, indexed, rapidly searchable analysis-ready datasets while accounting for FG datatypes (e.g., chromatin interactions, genomic intervals, quantitative trait loci). Availability and ImplementationhipFG is freely available at https://bitbucket.org/wanglab-upenn/hipFG. Docker container is available at https://hub.docker.com/r/wanglab/hipfg. Contactlswang@pennmedicine.upenn.edu Supplementary informationSupplementary data are available as BioRxiv supplemental files.

bioinformatics↗