Serine Analysis Service

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Overview

Serine (Ser) is an amino acid used in protein biosynthesis. It contains an a-amino group, a carboxyl group, and a hydroxymethyl group that is considered as a side chain. It is one of the naturally occurring proteinogenic amino acids that are indispensable for metabolism with its role in the biosynthesis of purines and pyrimidines. In plants, the existence of different pathways of Ser biosynthesis has given its fundamental role in plant metabolism and development, such as the photorespiratory glycolate pathway. Further research is still needed to determine the exact contribution of each Ser metabolism pathway in different plants under different environmental conditions.

Figure 1. (S)-Serine (left) and (R)-serine (right) in zwitterionic form at neutral pH

To detect serine in plant cells, certain methods can be used. High-performance liquid chromatography (HPLC) and gas chromatography(GC) can separate serine from other amino acids in the cell, based on its physicochemical properties. Mass spectrometry can then be used to arrange amino acids with different molecular masses in order. Finally, after comparing the molecular mass, the concentration of serine can be accurately determined. In short, serine in plants can be analyzed quickly using our serine analysis platform.

Applications of Serine Analysis

Assess the growth conditions of plants
Regulate the metabolism in plant cells
Reduce plant diseases from environmental persecution
Detect plant life activities

Advantages of Our Serine Analysis Service

Rich experimental experience in plant serine analysis
Advanced mass spectrometry related equipment
Complete after-sales data analysis
Get results quickly and accurately
High repeatability and low cost

Service Workflow

After sample harvesting and preparation, the first crucial steps in metabolomics, our analysis platform equipped with GC-MS and LC-MS can provide a deep understanding of metabolic regulation occurring in plant cells. Once the samples have been analyzed, automatic data processing tools are required for peak picking and mass peak alignment.

Figure 2. Serine analysis service workflow.

Quantification methods: external reference method or isotope-labeled internal standard method

Mode: MRM, capable of simultaneously detecting more than 1000 MRM ion pairs

Precision: ≤10^-9 g

Positive/Negative polarity switching time: ≤20 ms, allowing for the acquisition of Q1/Q3 MRM transition mass spectra in both ionization modes from a single LC-MS/MS run.

Analysis content:

Standard curve creation
Raw data preprocessing
Absolute quantification of serine
Differential metabolites screening
Optimal analyses such as KEGG pathway analysis and hierarchical clustering

Sample Requirements

1. Fresh plant tissues from leaf, flower, stem, root, or fruit: >1 g. Provide young plant tissues to yield the best results. Samples should be frozen in liquid nitrogen immediately after collection, and then transferred to -80°C for storage.

2. Plant seeds.

At least 3 biological replicates.

Deliverables

Experimental procedure
Parameters of liquid chromatography and MS
Extracted mitochondria and purified protein sample
Purity analysis report
MS raw data files and MS data quality checks
Metabolites quantification data
Custom analysis report

Our technology platform uses mass spectrometry to detect serine content in plants, and it is fast, efficient, and low-cost. The protocols can be adapted when handling a large number of plant samples. The flexible statistical analysis and bioinformatics analysis will produce reliable data for plant cell analysis.

References

Ros R, Muñoz-Bertomeu J, Krueger S: Serine in plants: biosynthesis, metabolism, and functions. TRENDS PLANT SCI 2014, 19(9):564-569.
Igamberdiev AU, Kleczkowski LA: The Glycerate and Phosphorylated Pathways of Serine Synthesis in Plants: The Branches of Plant Glycolysis Linking Carbon and Nitrogen Metabolism. FRONT PLANT SCI 2018, 9.