Fabio Zanini

The paper identifies cell-state-specific mechanisms of 5-azacytidine response in myelodysplastic neoplasms, showing distinct differentiation and transcriptional changes in cycling progenitors and quiescent stem cells.

The paper generates single-cell transcriptomic atlases of Zootermopsis termites to investigate if caste switching creates new cellular identities, finding that while some cell types are caste-specific, key physiological pathways remain largely unchanged.

This study uses single-cell multiomics to show that AZA response in MDS involves hematopoietic regeneration from mutated HSPCs and that AZA-refractive sub-populations contribute to disease progression.

This study shows that postnatal VEGFR2 abrogation blocks Cap2 differentiation by preventing the transition from Cap1 to CapINT, impairing alveolarization and activating fibroblasts.

RMC-113 inhibits PIP4K2C and PIKfyve, reversing SARS-CoV-2-induced autophagic flux impairment and showing antiviral effects.

The paper creates a transcriptional map of endothelial cell zonation in the pulmonary vascular tree using scRNA-seq and identifies vessel size and arterio-venous polarity gradients.

The paper develops a computational strategy to compare cell atlases across species, trains a universal model for cell type annotation, and generates synthetic cell atlases for extinct species.

The paper shows that TNBC cells compensate for loss of ASCT2 glutamine uptake by increasing macropinocytosis, suggesting resistance to targeting glutamine transport alone.

This paper introduces Ukiyo-e-Seq, a method to simultaneously capture optical and transcriptomic data from individual eukaryotic plankton, enabling the integration of morphology and genetics for improved classification and functional analysis.

HyperSeq integrates hyperspectral imaging and transcriptomics on the same cell to link optical spectra with molecular states in MCF-7 breast cancer cells.

The paper shows that mesoderm-derived PDGFRA+ stromal cells in the AGM region support endothelial-to-hematopoietic transition and LT-HSC generation.

This paper introduces scPSD, a pre-processing method that improves cell subtype separation in single-cell omics data by reducing complexity and enhancing cell-type discrimination.

The paper uses single-cell transcriptomics and in-situ imaging to study lung mesenchymal cell diversity during development and hyperoxia, finding delayed diversity and emergence of Acta1+ cells under hyperoxic conditions.

The paper profiles the transcriptional development and injury sensitivity of lung endothelial subtypes during postnatal growth, revealing distinct transcriptomic changes and differential responses to hyperoxia.

Northstar automatically classifies known and novel cell types from tumor samples with high accuracy and robustness.

This study uses single-cell transcriptomics to reveal diverse immune cell roles in the developing mouse lung, showing dynamic changes in macrophage subtypes and their functions during lung development.