Kirsten Obernier

The paper generates a CRISPRi perturbation cell atlas in human induced pluripotent stem cells, identifies novel regulators of pluripotency and metabolism, and proposes a machine learning framework for predicting perturbation recipes.

This study identifies B2 cells as the primary neural stem cells in the adult mouse V-SVZ, replacing B1 cells postnatally to sustain neurogenesis.

The paper predicts the mechanistic impacts of human protein missense variants on stability, protein-protein interactions, and small-molecule binding using AlphaFold2 structures.

The paper introduces the CM4AI project, which aims to create AI-ready datasets of human cell architecture using multimodal data from cell lines.

The paper constructs a PPI network of 100 high-confidence ASD genes, identifies novel interactions, and uses AlphaFold-Multimer to prioritize variants for functional validation in organoids.

The paper systematically analyzes proteomic and genomic data of SARS-CoV-2 variants to identify how mutations affect viral gene expression, host interactions, and immune evasion.

The paper uses single-cell and single nucleus sequencing to identify two distinct adult neurogenic lineages in the mouse V-SVZ, marked by specific gene expression patterns.

Affinity-purification mass spectrometry of 26 SARS-CoV-2 proteins in HEK293T cells yields 332 high-confidence host interactions and 67 druggable human proteins with known compounds.