Prlic, Martin

MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data

Finak, G., McDavid, A., Yajima, M., Deng, J., Gersuk, V., Shalek, A. K., Slichter, C. K., Miller, H. W., McElrath, M. J., Prlic, M., et al. (2015) · Genome Biology

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 3,159

CXCR3 enables recruitment and site-specific bystander activation of memory CD8(+) T cells

Maurice, N. J., McElrath, M. J., Andersen-Nissen, E., Frahm, N., & Prlic, M. (2019) · Nature Communications

T-cell and B-cell ImmunologyChemokine receptors and signaling

Cited by 117

A targeted multi-omic analysis approach measures protein expression and low abundance transcripts on the single cell level

Mair, F., Erickson, J. R., Voillet, V., Simoni, Y., Bi, T., Tyznik, A. J., Martin, J., Gottardo, R., Newell, E. W., & Prlic, M. (2019) · Cell Reports

Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies

Cited by 111

Memory T cells possess an innate-like function in local protection from mucosal infection

Arkatkar, T., Davé, V., Cruz Talavera, I., Graham, J. B., Swarts, J. L., Hughes, S. M., Bell, T. A., Hock, P., Farrington, J., Shaw, G. D., et al. (2023) · Journal of Clinical Investigation

T-cell and B-cell ImmunologyHerpesvirus Infections and Treatments

Cited by 25