Michael Hagemann-Jensen

The paper uses single-cell proteomics and transcriptomics to reveal cell-type-specific functional coordination in PBMCs, showing protein covariation that reflects protein-protein interactions and pathway rewiring.

This study compares lipid-conjugated ASO delivery in mice, showing differential tissue and CNS targeting based on lipid type and administration route.

This study identifies surface markers for isolating sensory neurons and develops a FACS panel for their enrichment without transgenic mice, validated by microscopy and scRNA-seq.

The paper investigates immediate transcriptional changes in T cells upon direct contact with cancer cells using single-cell transcriptomics and identifies distinct T cell subsets associated with reduced TCR diversity.

RNA BaseCode is a synthetic long-read RNA sequencing method that achieves short-read accuracy and improves full-length transcript reconstruction compared to existing long-read methods.

This study shows that Plasmodium falciparum uses extracellular vesicles to deliver miR-451a to neutrophils, impairing their antimicrobial function and increasing susceptibility to bacterial superinfections.

The paper creates a cell atlas of the adult mouse oesophagus, revealing regionalized cell and gene signatures that govern epithelial homeostasis and disease susceptibility.

This paper introduces a synthetic thermostable RNase inhibitor that improves single-cell RNA-seq library quality, reproducibility, and workflow flexibility compared to protein-based inhibitors.

The paper identifies a class of spontaneously regenerative corticospinal neurons in mice that project ipsilaterally and share molecular features with embryonic-like regenerating neurons.

The paper examines dosage compensation mechanisms on the avian Z chromosome in female, male, and intersex chickens, revealing transcriptional and translational strategies similar to mammalian X-chromosome compensation.

The paper identifies heritable transcriptional diversity within cell types by studying clonal human lymphocytes and mouse brain cells, showing clone-specific chromatin accessibility leads to distinct gene expression.

The paper introduces molecular spikes as a gold standard to evaluate RNA counting accuracy in single-cell RNA-sequencing methods.

STORM-seq improves single-cell RNA sequencing by enhancing detection of non-coding transcripts and transcript-level complexity, revealing new cell states in human fallopian tube epithelium.

This study investigates the transcriptional dynamics and functions of long non-coding RNAs using single-cell RNA-seq, revealing distinct burst kinetics and cell-state specific roles.

The paper introduces a scalable, cost-effective single-cell RNA sequencing method that generates a detailed human blood cell atlas with high sensitivity and throughput.

The paper profiles small non-coding RNAs in multiple compartments of MS patients and controls, identifying distinct sncRNA expression patterns in CSF and PBMCs that suggest organ-specific regulatory mechanisms.

This study shows transcriptional bursts explain autosomal monoallelic expression and influence allelic imbalance in scRNA-seq data.

PhylEx reconstructs clonal structure by integrating bulk DNA-seq and scRNA-seq data, outperforming existing methods in clonal-tree reconstruction and mutation clustering.

This paper introduces Smart-seq3, a single-cell RNA sequencing method that enables allele- and isoform-resolution RNA counting, showing improved sensitivity and isoform regulation detection in mouse and human samples.

The paper investigates the relationship between T-cell activation, HLA regulation, and smoking in the airways of multiple sclerosis patients.