Integrated multi-omics analyses provide an unprecedented opportunity to better understand the structural and functional properties of microbial communities.
In this review, we provide a broad introduction to advanced high-throughput and long-read single-cell transcriptome analysis using next-generation sequencing and third-generation sequencing platforms.
Increasing application of omics approaches contributes to a mechanistic understanding of nanomaterial ecotoxicity and risk assessment.
Sample types, multi-omics techniques, data analysis application and experimental validation in multi-omics studies.
Sample normalization methods were evaluated for MS-based multi-omics (proteomics, lipidomics, and metabolomics) from the same tissue samples to minimize variation and achieve reliable biological comparison in a neurodegenerative mouse model.