The transcriptome is a collection of complete transcriptional information in cells under specific developmental stages or physiological conditions, representing the intermediate state of gene expression, and is an important method to obtain gene expression in organisms, which can help to obtain a large number of differentially expressed genes and regulated metabolic pathways. The transcriptome is a collection of complete transcriptional information in cells under specific developmental stages or physiological conditions, representing the intermediate state of gene expression, and is an important method to obtain gene expression in organisms, which can help to obtain a large number of differentially expressed genes and regulated metabolic pathways. Metabolites are the result of gene transcription in an organism under internal and external regulation and are the material basis of the organism's phenotype.

What We Offer

Transcriptome sequencing services based on high-throughput sequencing, capable of detecting the overall transcript levels of any plant species at the single nucleotide level. Metabolomic analysis services based on GC-MS, LC-MS, NMR, and other technical tools, enabling targeted and untargeted metabolomic analysis of a wide range of samples. Lifeasible integrates existing transcriptomic and metabolomic platforms to integrate transcriptomics and metabolomics analysis, normalize and statistically analyze batch data from transcriptome and metabolome, and establish data relationships between different levels of molecules. We also further integrate customizable bioinformatics analysis methods to provide one-stop integrated transcriptomics and metabolomics analysis services from experimental design, sample detection, and data analysis, which can meet the various analysis needs such as functional analysis, metabolic pathway enrichment, and molecular interactions.

We Do Better

Lifeasible integrating transcriptomics and metabolomics analysis of plant samples to analyze the intrinsic changes of organisms from both cause-and-effect levels can help to quickly target key genes and metabolic pathways, which can more systematically and comprehensively analyze biomolecular functions and regulatory mechanisms, and screen key metabolic pathways or genes and metabolites for subsequent in-depth research and application.

Reference

1. Hu M., et al., "Transcriptomic and metabolomic joint analysis reveals distinct flavonoid biosynthesis regulation for variegated testa color development in peanut (Arachis hypogaea L.)." Scientific Reports, 2021, 10721.

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