Christian Conrad

This study uses single-cell transcriptomics to show that SARS-CoV-2 variants reshape pediatric upper-airway immunity differently from adults.

The paper constructs a healthy human pancreas reference atlas to contextualize disease states and benchmark models.

The paper constructs a single-cell multiomics atlas of the human pancreas across development, health, and T2D, identifying plastic cell states and lineage trajectories.

This study uses long-read single-cell RNA sequencing to identify cell-type specific alternative splicing changes in COVID-19 patients compared to healthy controls.

The paper investigates the role of Tbx1 in cardiopharyngeal mesoderm differentiation and morphogenesis, finding it stabilizes transcriptional profiles and regulates a conserved gene module.

This study shows that acute pancreatitis induces epigenetic changes in acinar cells, leading to long-term tumor predisposition through altered cell states and plasticity.

This study identifies ELF5 as a risk gene for severe COVID-19 using genetic and single-cell expression data, showing its specific expression in respiratory epithelial cells.

This study uses early-stage IPF patient-derived cells to identify proinflammatory and fibrotic states and assess drug responses in airway cells.

The paper introduces a hybrid model combining matrix factorization and variational autoencoders to infer gene sets from scRNA-seq data, correcting batch effects and identifying cell types.

The paper investigates SARS-CoV-2 entry into the CNS via the olfactory mucosa in COVID-19 patients and demonstrates neurotropism and cerebral thromboembolism.

The paper uses single nucleus and in situ RNA sequencing to create a comprehensive atlas of human pancreas cells, revealing cell topographies and differences between adult and neonatal pancreata.

Single-cell profiling of lung and bronchial cells places ACE2 mainly in a transient secretory cell state of cultured bronchial epithelium, between goblet and ciliated cells, co-expressing TMPRSS2.

This study benchmarks 13 scRNA-seq protocols to evaluate their effectiveness in characterizing cell types and states for cell atlas projects.

The paper introduces pheno-seq, a method that links morphological features to gene expression in 3D cell cultures, showing its ability to identify morphology-specific genes and regulatory states not captured by scRNA-seq.

This paper introduces 3D SPECS, a method to map spatial protein localization in 3D cell cultures and analyze mitotic protein networks, revealing novel insights into spindle fragility and chromatin stress.