Anastasiya Boltengagen

Open-ST provides a high-resolution, 3D spatial transcriptomics method to study tissue molecular organization, revealing spatially contiguous structures and biomarkers in tumors and lymph nodes.

This paper presents a 3D spatial atlas of a human lung carcinoma, revealing tumor microenvironment niches and their associated immune interactions and survival outcomes.

This study uses urinary single-cell RNA sequencing to analyze injury and repair processes in acute kidney injury, identifying distinct cellular and molecular dynamics.

This study uses single-nuclei transcriptomics to analyze human kidney injury responses, identifying four injury-associated cell states and showing similar gene expression changes between AKI patients with and without COVID-19.

This study identifies IL-12 as the main driver of neuroinflammation in Alzheimer's disease by affecting oligodendrocyte survival and neuronal homeostasis in a mouse model.

The paper uses single-cell RNA-sequencing to study HSV-1 infection in human fibroblasts, identifying NRF2 activation as an antiviral response that reduces virus production.

The paper generates a single-cell transcriptomic map of Drosophila embryos, identifies spatial gene expression patterns, and discovers patterned long non-coding RNAs.

This paper introduces a method for fixing and preserving cells for single-cell transcriptomics, demonstrating its effectiveness across species and tissue types.