Anna C. Belkina

The paper shows that male and female mice achieve similar protection against a different SARS-CoV-2 strain through distinct immune mechanisms, with sex-specific roles for T-cells and inflammation.

This paper generates functional CD4+ T cells from human iPSC by modulating Notch signaling, showing cytokine diversity and transcriptional similarity to blood CD4+ T cells.

This paper introduces a 50-marker mass cytometry panel to comprehensively profile functional diversity in human immune cells, detecting cytokines and chemokines beyond traditional panels.

This study compares CyTOF with fluorescent cytometry for detecting intracellular markers, finding CyTOF provides superior resolution for phosphoproteins, transcription factors, and cytokines, enabling better immune cell clustering and discovery of unique populations.

This study identifies dysfunctional type 1 immunity in SSc patients through altered T cell subsets and reduced IFN-γ production.

The paper develops a mouse model that exhibits severe SARS-CoV-2 infection and post-acute systemic diseases, revealing molecular mechanisms of PASC.

This study identifies pathogen-specific neutrophil surface protein phenotypes in bacterial pneumonia, revealing tissue- and infection-type dependent immune responses.

This study identifies lung CD4+ resident memory T cells and their interaction with airway secretory cells as key regulators of neutrophilic allergic airways disease in mice and humans.

EpiFlow enables multiparametric analysis of histone PTMs in whole cells using spectral flow cytometry, revealing chromatin state variations in neural progenitor cells.

The paper establishes a resource of iPSCs from centenarians and their offspring to study human longevity and resilience.

The paper shows that fetal lung contains hemogenic endothelial cells capable of undergoing endothelial to hematopoietic transition to generate de-novo hematopoietic stem and progenitor cells.

The paper introduces opt-SNE, an automated t-SNE parameter selection tool that improves visualization and analysis of large single-cell datasets by optimizing early exaggeration and gradient descent settings.