Metabolomics Analysis_Synbio Technologies

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General Introduction of Metabolomics Analysis

In synthetic biology and systems biology research, metabolomics serves as a critical bridge between genotype and phenotype, while proteomics provides complementary molecular insights at the functional execution level.

Synbio Technologies now offers a comprehensive multi-omics analysis platform, integrating untargeted metabolomics, targeted metabolomics, and proteomics analysis into a one-stop solution. Our services help researchers efficiently identify differential metabolites and key proteins, validate biological targets, and accelerate the rational design and optimization of engineered cell factories.

Highlights

Established Omics Platform

Standardized workflows and proven analytical methodologies
Flexible Customization

Tailored service solutions covering the entire workflow
Competitive Pricing

Cost-effective pricing
Expert Technical Support

Comprehensive technical support throughout every stage of your project

Service Details

	Product Name	Description	Turnaround Time
Untargeted Metabolomics	Untargeted Metabolomics		20BD (up to 50 samples)
	Plant Untargeted Metabolomics		35BD (up to 50 samples)
	Untargeted Lipidomics		35BD (up to 50 samples)
	Flavoromics		35BD (up to 20 samples)
Targeted Metabolomics	Short Chain Fatty Acid (SCFA) Quantification	Quantification of 7 SCFAs	7BD (up to 50 samples)
	Bile Acid Quantification	Quantification of 51 bile acid species	35BD (up to 50 samples)
	Free Fatty Acid Quantification	Quantification of 51 free fatty acid species	30BD (up to 50 samples)
	Tryptophan Quantification	Quantification of 30 tryptophan related metabolites	30BD (up to 50 samples)
	Amino Acid Quantification	Quantification of 22 amino acids	30BD (up to 50 samples)
	Neurotransmitter Quantification	Quantification of 23 neurotransmitters	30BD (up to 50 samples)
Proteomics	Conventional Proteomics – 8 min gradient	Astral platform, DIA mode; 8 min LC MS run time per sample; no DDA library construction	30BD (for ≤100 samples)
	Conventional Proteomics – 24 min gradient	Astral platform, DIA mode; 24 min run time per sample; no DDA library construction	30BD (for ≤100 samples)
	Deep Blood Proteomics – 8 min gradient	Astral platform; 8 min run time per sample; bead based enrichment (default); high abundance protein depletion not performed (standard protocol)	30BD (for ≤100 samples)
	Deep Blood Proteomics – 16 min gradient	Astral platform; 16 min run time per sample; bead based enrichment (default); high abundance protein depletion not performed (standard protocol)	30BD (for ≤100 samples)
Modification Proteomics	Phosphoproteomics – 24 min gradient	Astral platform detection	30BD (for ≤100 samples)
	Lactylproteomics – 24 min gradient	Astral platform detection	60BD (for ≤100 samples)
	Acetylproteomics – 24 min gradient	Astral platform detection	45BD (for ≤100 samples)
	Ubiquitinomics – 24 min gradient	Astral platform detection	45BD (for ≤100 samples)
Spatiotemporal Omics	Single cell transcriptomics	-	45BD (for ≤100 samples)
	Spatial transcriptomics	-	45BD (for ≤100 samples)
	Spatial proteomics	LCM dissection	45BD (for ≤100 samples)
Specialized Targeted Analysis	Quantitative analysis of perfluorinated compounds	-	30BD (for ≤100 samples)
	Quantitative analysis of plasticizers (16 congeners)	-	30BD (for ≤100 samples)
	Quantitative analysis of plasticizer metabolites (16 congeners)	-	30BD (for ≤100 samples)
	Quantitative analysis of bisphenols and phenols (11 congeners)	-	30BD (for ≤100 samples)
	Nicotine and Cotinine Quantification	-	30BD (for ≤100 samples)
	Quantification of Phenylalanine Metabolism Pathway Metabolites (14 congeners)	-	30BD (for ≤100 samples)
	Phytohormone Quantification (30 congeners)	-	30BD (for ≤100 samples)
	Endogenous Hormone Quantification (20 congeners)	-	30BD (for ≤100 samples)
	Flavonoid Quantification (35 congeners)	-	30BD (for ≤100 samples)
	Choline Related Metabolite (TMAO) Quantification (11 congeners)	-	30BD (for ≤100 samples)
	Fat Soluble Vitamin Quantification (7 congeners)	-	30BD (for ≤100 samples)
	Water Soluble Vitamin Quantification (9 congeners)	-	30BD (for ≤100 samples)
	Homocysteine Metabolism Pathway Quantification (10 congeners)	-	30BD (for ≤100 samples)
Customized Targeted Assays	Quote upon Evaluation of Specific Analytes	-	Quote

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FAQs

What is the difference between untargeted and targeted metabolomics, and how do you choose between them?

Untargeted metabolomics uses a global, unbiased approach (e.g., high-resolution LC-MS) to detect hundreds of metabolites, enabling broad discovery of differential metabolites and biomarkers. Targeted metabolomics, in contrast, employs authenticated standards to quantify specific metabolites with high sensitivity and accuracy, ideal for absolute quantification and validation. The two are complementary: untargeted for discovery, targeted for verification—the gold-standard strategy in metabolomics research.

What is the standard workflow in metabolomics research?

A high-quality metabolomics study typically follows a four-step, closed-loop strategy that progresses from global screening to mechanistic validation:

1. Phenotypic screening: Select samples with clearly contrasting phenotypes (e.g., high‑yield vs. Low-yield, tolerant vs. sensitive).

2. Global discovery: Apply untargeted metabolomics to generate comprehensive metabolic profiles and identify candidate differential metabolites.

3. Precise verification: Use targeted metabolomics to perform absolute quantification of the candidate metabolites, confirming genuine differences.

4. Mechanism retrospection: Integrate molecular biology assays (e.g., enzyme activity measurements, gene knockout/overexpression) to elucidate the underlying regulatory mechanisms.