Jun Lü

The paper presents a single-cell atlas of noncoding RNAs during mouse organogenesis, revealing their cell-type-specific and lineage-regulated expression patterns.

ASTRO is an automated pipeline for spatial transcriptomics analysis, optimized for FFPE samples and capable of detecting coding and non-coding RNAs.

This study identifies pro-regenerative features in TSP2-deficient fibroblasts through single-cell analysis and functional assays, showing enhanced migration, proliferation, and neurogenesis.

The paper quantifies miRNA regulatory effects on 3' UTRs using a high-throughput reporter assay and develops a score to predict miRNA inhibition based on seed and seedless sites.

This paper introduces Patho-DBiT, a method for spatial transcriptomics in FFPE tissues, enabling RNA biology analysis including splicing, variants, and regulatory networks in clinical samples.

This paper introduces VirusSi, a computational pipeline for designing siRNAs against existing and future respiratory viruses, showing pre-design feasibility for SARS-CoV-2 and other viruses.

FLARE is a framework for fast and automatic detection of rare cell populations in flow cytometry data using hierarchical Bayesian models and parallel computation.

The paper shows that post-transcriptional regulation, not transcription, mainly drives variation in mature miRNA expression across tissues and cancers.

The paper shows that seedless miRNA binding sites reduce the effectiveness of seed site-mediated target repression in 3' UTRs, affecting miRNA-mediated gene regulation.

The paper co-sequences microRNAs and mRNAs in single cells to show miRNA variability contributes to non-genetic cell-to-cell heterogeneity and identifies new regulatory relationships.