Minghao Chia

This paper introduces HOMES-seq, a spatial transcriptomics workflow for detecting microbes and host transcripts in colorectal tumours, improving sensitivity and reducing costs.

The paper develops a skin metatranscriptomics workflow to analyze microbial gene activity across five skin sites in 27 healthy adults, revealing discrepancies between transcriptomic and genomic abundances and identifying key microbial pathways and antimicrobial genes.

The paper identifies prevalent skin microbiome configurations (dermotypes) across body sites and links them to host factors and disease risk.

The paper uses long-read and Hi-C technologies to analyze gut microbiomes from Southeast Asians, revealing novel species, improved references, and uncharacterized biosynthetic gene clusters.

The paper identifies LUTI candidates during meiotic prophase and shows that LUTI-based repression integrates translational and transcriptional mechanisms.

This study shows how the transcription factor Rap1 represses divergent noncoding transcription in yeast by preventing transcription initiation at cryptic promoters.