Chuanyu Liu

This study uses single-cell multi-omics to analyze transcript isoform and immune repertoire changes in aging human immune cells, identifying age-related molecular features in T cells and B cells.

This study uses complete genomes to model gut microbiome metabolic interactions, revealing ecological group dynamics linked to inflammatory bowel disease and improving disease diagnosis.

This study identifies NAT10 as a regulator of TFH cell differentiation through the acC-TOX2 axis, showing that targeting NAT10 suppresses allergic asthma in mice.

This study uses single-cell multi-omics to analyze immune reconstitution failure in HIV patients, identifying genetic and epigenetic factors and developing a predictive model.

The paper presents a comprehensive compendium of fully circularized human gut bacterial genomes and reveals how mobile genetic elements drive functional diversity with therapeutic implications.

This study creates a single-cell transcriptomic atlas of mouse oocyte development from growth to ovulation using a new platform and integrates transcriptomic and morphological data to identify temporal shifts in gene expression.

This study identifies molecular and cellular signatures of regular physical activity in human peripheral blood using multi-omics profiling, revealing enhanced metabolic and immune functions.

This study uses single-cell multi-omics data from the CIMA cohort to identify BMI-associated immune cell features and molecular mechanisms linked to immune-related diseases.

The paper introduces CIMA, a multi-omics atlas of human immune cells, identifying regulatory mechanisms and genetic associations across sex, age, and genetic factors.

This paper introduces a dual-channel FRET-based droplet sorting system to enhance terminator polymerase engineering, achieving 30-fold enrichment of active variants in a single round.

SpaSEG is a convolutional neural network model for analyzing spatially resolved transcriptomics data, showing superior reliability and efficiency in detecting spatial patterns and intercellular interactions.

The paper uses single-cell multiomics to study gene regulatory programs in mouse embryonic skin, identifying cis-regulatory elements and transcription factors involved in development.

This study creates spatiotemporal transcriptomic maps of mouse brain after ICH to understand cellular responses and identify therapeutic targets.

The paper evaluates CycloneSEQ long-read sequencing for improving bacterial genome assemblies, showing it can produce complete circular genomes when combined with short-read data.

The paper constructs a multimodal brain cell atlas of adult macaques across their lifespan, revealing aging-related molecular changes and identifying aging hotspots and regulatory loci.

This study introduces Stereo-XCR-seq, a method for in situ single-cell T and B cell repertoire sequencing, revealing spatial heterogeneity in lymphoid aggregates in immune disorders.

This study uses multi-omics data to analyze immune and metabolic changes in mountain climbers during acclimatization and extreme altitude exposure.

The paper generates a single-cell chromatin accessibility atlas in nine rat organs, identifies 77 cell types, and analyzes transcription factor dynamics and gene expression conservation across species.

The paper uses single-cell long-read transcriptome sequencing to study transcript diversity and alternative splicing in zebrafish embryos, identifying cell populations with distinct splicing regulations during early development.

The paper constructs a 3D spatiotemporal multi-omics atlas of Drosophila development, revealing gene regulatory networks and cell type dynamics across embryogenesis to metamorphosis.

The paper creates a high-resolution spatial transcriptomic atlas of the mouse brain using snRNA-seq and Stereo-seq, identifying new cell clusters, region-specific genes, and transcription factor regulons.

The paper uses single-cell transcriptomics to analyze cellular and molecular differences across maternal-fetal sections of the placenta, identifying key cell types and regulatory factors involved in placental development and preeclampsia.

The paper uses Stereo-seq to map single-cell transcriptomes of axolotl telencephalon during development and regeneration, identifying a key radial glial cell subtype involved in early wound healing.

The paper integrates single-cell ATAC and transcriptomic data with spatial transcriptomics to map regulatory features and disease vulnerabilities in macaque cortex.

The DNBelab C4 portable, negative-pressure microfluidic device performs high-throughput single-cell transcriptome profiling, resolving species-specific cells and tissue heterogeneity in murine lung and cerebral cortex comparably to existing platforms.

The paper creates an ATAC-seq atlas of chromatin accessibility in adult mouse tissues, identifying tissue-specific accessible elements and transcription factor motifs.

The paper introduces scCAT-seq, a method to simultaneously assay chromatin accessibility and transcriptome in single cells, and demonstrates its application in human pre-implantation embryos to reveal regulatory heterogeneity.

This study uses single-cell RNA-seq to analyze transcriptome dynamics during human early neural differentiation, identifying novel transcription factors and regulatory elements involved in the process.