Heidi Yahan Liang

The paper uses hybrid crosses to analyze regulatory variation in mouse tissues, finding cell-type-specific trans-acting effects and highlighting the limitations of bulk tissue analysis.

The paper investigates how early-life adversity affects reward behaviors through peptide signaling in the paraventricular thalamus and identifies CRHR1 as a molecular target for intervention.

The paper characterizes transcriptomes across 8 tissues in 8 mouse strains to identify expression variation linked to genetic differences and phenotypic traits.

The paper develops lr-kallisto, a tool for accurate long-read transcriptome quantification using ONT data, showing improved results with exome capture.

The paper identifies regulatory programs in postnatal mouse development using single-nucleus data, revealing cell-type-specific and common regulatory topics across multiple tissues.

The paper introduces Topyfic, a reproducible LDA method, to identify cellular programs in single-cell data and shows sex-specific differences in microglial activation in Alzheimer's disease mouse models.

Pharmacologic inhibition of C5aR1 suppresses disease-enhancing processes and promotes disease mitigating pathways in an aggressive model of Alzheimer's disease.

Long-read sequencing of 81 human and mouse samples yields 200,000 full-length transcripts plus a triplet framework that separates promoter choice, splicing and 3' end use across tissues.

The paper shows that C5aR1 antagonism reduces amyloid load and dystrophic neurites in a mouse model of Alzheimer's disease, shifting microglial polarization toward a neuroprotective phenotype.

This study shows that modulating C5a-C5aR1 signaling in Alzheimer's disease models affects cognitive decline and gene expression related to inflammation and astrocyte activation.

This study uses multi-omics data to identify signaling pathways and transposable elements involved in Hydra head regeneration.

The paper introduces LR-Split-seq, a long-read single-cell RNA-seq method, to study differential RNA isoform expression and validates it using mouse myoblast differentiation data.

The paper uses single-cell and nucleus RNA-seq to analyze glial subpopulations in AD mouse models, finding differences in astrocyte activation and microglia subtypes between 3xTg-AD and 5xFAD models.