Multi-omics Combined Analysis

With the emergence of new technologies in recent years, the development of multi-omics research towards quantification and high throughput has been accelerated, especially genome, transcriptome, proteome, interactome, epigenome, metabolome, liposome, and microbiome, which have become new directions for researchers to discover the basis of vital chemical substances and gain insight into their molecular mechanisms. With the use of high-throughput omics methods in the analysis of biological samples, trillion to gigabyte-sized data files are generated every day. It is also an inevitable trend to gradually move from level of study to perfection and from part to whole. Integrated multi-omics data analysis is the stitching of data and the in-depth study of biological interpretation, providing new ideas for basic biology and plant disease research.

Figure 1. Integration of polar metabolites, lipids and transcript responses with common light regimes. (Treves H., et al., 2020)

What We Offer

Lifeasible correlates gene and protein expression with metabolism and phenotype by combining transcriptomic, proteomic and metabolomic, and lipidomic data, which helps to rapidly target key genes and metabolic pathways. The batch data from transcriptome and metabolome are normalized and statistically analyzed to establish data relationships among molecules at different levels to reveal the characteristics and correlations of different histologies at multiple levels, to comprehensively explore the mechanisms of plant life activities and pathogenesis, and to precisely study the expression patterns and regulatory processes of important genes.

We Do Better

Lifeasible combines gene and protein functional analysis, metabolic pathway enrichment, molecular interactions, and other biological analyses to systematically and comprehensively resolve biomolecular functions and regulatory mechanisms, ultimately achieving a comprehensive understanding of the general trends and directions of internal and external changes in plants, further proposing molecular biological change mechanisms, and screening key metabolic pathways or genes, proteins, metabolites, etc. for The results will be used to further propose molecular biology change mechanisms, and to select key metabolic pathways or genes, proteins, and metabolites for subsequent in-depth experimental analysis and application.

Reference

Treves H., et al., "Multi-omics reveals mechanisms of total resistance to extreme illumination of a desert alga." Nature Plants, 2020, 6: 1031-1043.

The services provided by Lifeasible cover all aspects of plant research, please contact us to find out how we can help you achieve the next research breakthrough.

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