Nikolaus Rajewsky

The paper reveals that cells move in a circular trajectory in transcriptome space during the cell cycle, minimizing transcriptional changes.

The paper predicts cellular positions in the Drosophila embryo using scRNA-seq data by benchmarking methods against spatially annotated genes.

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 introduces FLAM-seq, a method for full-length mRNA sequencing including poly(A) tails, and finds correlations between 3' UTR length, polyadenylation sites, and tail composition.

This paper introduces PAGA, a method that reconciles clustering with trajectory inference by creating a topology-preserving graph map of single-cell data, demonstrating its effectiveness across multiple datasets.

The paper maps RNA expression in C. elegans germline using cryo-cutting, identifies miRNAs and differential 3 UTR usage, and proposes regulatory mechanisms for spatial gene expression.

The paper introduces a method to reconstruct spatial positions of cells from single-cell transcriptomes without reference imaging data, leveraging expression space distances.

The paper uses single-cell RNA-seq to characterize cell types in the adult mouse subventricular zone and identifies molecular defects in LRP2-deficient mice affecting neurogenesis.

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.

The paper identifies and characterizes conserved small ORFs in multiple animal species, finding novel micropeptides with evidence of translation and functional potential.