Nicole Ludwig

This study identifies sex-dimorphic molecular responses to microglial depletion in aged mice, highlighting differences in transcriptional and proteomic changes between males and females.

The paper profiles PBMCs from PD patients and controls using single-cell RNA sequencing after ex vivo activation, finding sex-convergent CD8+ T cell exhaustion associated with disease.

The paper shows re-replication is a physiological mechanism in human stem cell differentiation, increasing gene copy numbers to meet protein demands during differentiation.

The paper identifies age-related miRNA deregulation patterns in aging rhesus macaques, highlighting tissue and sex-specific changes and cross-species conservation.

The paper shows human and bacterial cells use extracellular vesicles and RNA cargo for bidirectional communication, affecting each other's physiology and gene expression.

The paper identifies adenosine-specific gene programs in murine mast cells through bulk RNA-Seq, revealing novel mediators and pathways involved in adenosine-evoked inflammation.

The paper creates a spatio-temporal miRNA atlas in mice, identifying age-related miR-155-5p increase driven by microglia, independent of sex.

The paper uses single-cell spatial transcriptomics to analyze brain samples from neurodegenerative diseases and COVID-19, identifying disease-specific transcriptional patterns and microenvironmental changes.

This study uses spatial transcriptomics to compare aging and infection effects across multiple organs in mice, identifying shared gene expression patterns in immune pathways.

The paper develops a model to predict mRNA stability based on microRNA expression data and applies it to design microRNA-responsive constructs with specific activity patterns across cell types.

The paper analyzes single-nucleus transcriptomes from brain and choroid plexus tissues of COVID-19 and influenza patients, identifying broad transcriptional dysregulation in multiple cell types and linking these changes to neurological symptoms.

The paper identifies aging-associated differences in vesicle-bound and freely circulating small regulatory RNAs in mice, showing tRNA fragments and miRNAs strongly correlate with aging.

The paper assesses miRNA expression changes in blood samples from endurance-trained individuals and identifies miR-532-5p as a potential marker for training performance and metabolic response.

The paper uses machine learning to analyze circulating microRNAs and finds they can distinguish Alzheimer's patients from controls with 87.6% accuracy.