R. Gottardo

Tumor Microenvironment Cellular Crosstalk Predicts Response to Adoptive TIL Therapy in Melanoma

This study identifies CD8+ TIL-myeloid cell networks as predictors of response to adoptive TIL therapy in melanoma using single-cell RNA-seq and spatial proteomic analyses.

Single-cell profiling uncovers a Muc4-expressing metaplastic gastric cell type sustained by Helicobacter pylori-specific inflammation

The paper identifies a Muc4-expressing metaplastic gastric cell type in mice driven by H. pylori inflammation and shows its association with proliferation in human gastric cancer.

Transcriptional atlas of the human immune response to 13 vaccines reveals a common predictor of vaccine-induced antibody responses

The paper integrates transcriptional data from 13 vaccines to identify a time-adjusted signature predicting antibody responses across different vaccines.

Defining cellular population dynamics at single cell resolution during prostate cancer progression

This study examines prostate cancer progression at single-cell resolution, identifying castration-resistant luminal cells and their role in treatment resistance and tumor heterogeneity.

Global and context-specific transcriptional consequences of oncogenic Fbw7 mutations

This study examines the transcriptional effects of Fbw7 mutations in colorectal cancer cells and identifies context-specific regulatory changes and co-regulated genes like CIITA.

A faithful in vivo model of human macrophages in metastatic melanoma

The paper develops a humanized mouse model of metastatic melanoma that supports tumor spread and recapitulates patient macrophage transcriptomes, linking them to poor survival.

T helper 2 transcriptional profile predicts single-cell HIV envelope-specific polyfunctional CD4+ T cells correlated with reduced risk of infection in RV144 trial

Multiomic Immunophenotyping of COVID-19 Patients Reveals Early Infection Trajectories

This study integrates multi-omic data from COVID-19 patients to identify immune response patterns linked to disease severity.

Infinity Flow: High-throughput single-cell quantification of 100s of proteins using conventional flow cytometry and machine learning

Infinity Flow uses flow cytometry and machine learning to analyze hundreds of proteins across millions of cells, revealing novel lung cellular heterogeneity in melanoma metastasis models.

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

The paper introduces a targeted multi-omic approach that measures protein and low abundance transcript expression on single cells, requiring less sequencing depth than whole transcriptome methods.

CD32+ and PD-1+ Lymph Node CD4 T Cells Support Persistent HIV-1 Transcription in Treated Aviremic Individuals

This study identifies CD32+ CD4 T cells in lymph nodes as a population with persistent HIV-1 transcription, with CD32+PD-1+ cells showing the highest levels in both viremic and treated individuals.