Kun Qu

The paper constructs a lifespan single-cell atlas of immune cells, identifies an early-childhood immunometabolic transition around age 6, and develops an age-referenced framework for immune-state analysis.

This study shows that unwinding RNA G-quadruplexes with FC3 induces and maintains totipotency in mouse and human cells, recapitulating 2-cell-stage features and enabling differentiation into embryonic and extraembryonic lineages.

The paper introduces Hip-seq, a method to reduce contamination in single-cell capture, and finds that axon regeneration failure is linked to translation and circadian clock abnormalities.

This study compares 7 analysis pipelines and 7 experimental methods for detecting extrachromosomal circular DNA, identifying the most effective approaches for short-read and long-read sequencing data.

WEDGE imputes gene expression values in single-cell RNA-seq datasets using biased matrix decomposition, improving clustering and correlation recovery in sparse data.

This study uses single-cell RNA sequencing to analyze immune responses in COVID-19 patients, identifying key immune cell changes and molecular pathways linked to disease severity.

The paper identifies two transcription factor clusters regulating NK cell differentiation and highlights FOSL2 and EGR2 as essential for NK cell maturation and function.

The paper uses single-cell analysis to show that Tocilizumab reduces monocyte-driven inflammation in severe COVID-19 but does not fully suppress immune responses.

APEC improves single-cell chromatin accessibility analysis by clustering cells based on accessible regions and integrates with other tools to enhance clustering accuracy and predict gene expression and regulatory elements.

The paper identifies lnc-NR2F1 as a pro-neurogenic lncRNA mutated in neurodevelopmental disorders through genetic and functional studies.