Mark M. Painter

Persistently activated virus-specific CD8 T cells indicate antigen-driven immune aberrations in long COVID

The paper identifies persistently activated virus-specific CD8 T cells in long COVID patients, suggesting chronic antigen stimulation by SARS-CoV-2 or herpesvirus.

Vaccine imprinting drives increased SARS-CoV-2 variant infection in children

The paper shows that vaccine imprinting influences susceptibility to SARS-CoV-2 variants in children by linking immune history, antibody neutralization, and infection risk.

Deep learning representations of human Immune Health for precision immunology

The paper develops MAESTRO, a self-supervised deep learning framework to transform immune profiles into embeddings capturing immune health, enabling clinical prediction and precision immunotherapy.

Ready-to-load MHC-I Nanoparticles for High-throughput T cell Screening Studies

The paper introduces VLP-Open HLA nanoparticles for high-throughput T cell screening, enabling efficient peptide exchange and antigen-specific T cell activation.

Therapeutic scheduling of WEE1 inhibition preserves T cell function and promotes immune control of HPV+ tumors

This study shows that intermittent WEE1 inhibition preserves T cell function and enhances immune control of HPV+ tumors through non-cell-autonomous immune activation mechanisms.

Mechanisms of HIV Latency in Hematopoietic Progenitors: GFI1 as a Key Regulator

This study identifies GFI1 as a key regulator of HIV latency in hematopoietic progenitors through transcriptomic analysis and functional assays.

Cleanet: robust doublet detection in cytometry data based on protein expression patterns

Cleanet detects and classifies doublets in cytometry data using protein expression patterns, improving accuracy over traditional bivariate gating methods.

Divergent ontogeny of Tissue Resident Memory and Tissue Resident Exhausted CD8+ T cells underlies distinct functional potential

The paper identifies TR-TEX cells as distinct from TRM cells, showing they have unique transcriptional regulation and respond differently to PD-1 inhibition.

Automated Cytometric Gating with Human-Level Performance Using Bivariate Segmentation

This paper introduces UNITO, a deep learning framework for automated cytometric gating that matches human performance and provides interpretable results without requiring manual input.

Cytometry Masked Autoencoder: An Accurate and Interpretable Automated Immunophenotyper

The paper introduces cyMAE, a masked autoencoder for automated immunophenotyping, showing it improves accuracy and interpretability over manual methods in cytometry data analysis.