Ruidong Guo

This paper introduces a precision culturomics method using single-cell morphology and Raman spectra to sort and analyze microbial cells, revealing antibiotic-driven resistance and mutations in gut commensals.

The paper reports a method using LIFT technology to obtain high-quality microbial single-cell genomes or transcriptomes from complex samples and demonstrates its application to study cell-fate commitment in sporulation.

This paper introduces a sequencing-based spatial transcriptomics system with sub-cellular resolution and significantly improved capture efficiency compared to existing methods.

The paper constructs a high-resolution haplotype-resolved reference panel from the China Kadoorie Biobank study and demonstrates its superior performance in imputing microarray data compared to existing panels.

This paper performs M-GWAS on a Chinese cohort to identify genetic contributions to the gut microbiome and its associations with complex diseases.