Proteomics

Dataset Information

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Three-in-one simultaneous extraction of proteins, metabolites and lipids for multi-omics


ABSTRACT: Elucidation of complex molecular networks requires integrative analysis of molecular features and changes at different levels of information flow and regulation. Accordingly, high throughput functional genomics tools such as transcriptomics, proteomics, metabolomics and lipidomics have emerged to provide system-wide investigations. Unfortunately, analysis of different types of biomolecules requires specific sample extraction procedures in combination with specific analytical instrumentation. The most efficient extraction protocols often only cover a restricted type of biomolecules due to their different physicochemical properties. Therefore, several sets/aliquots of samples are needed for extracting different molecules. Here we adapted a bi-phasic fractionation method to extract proteins, metabolites and lipids from the same sample (3-in-1) for liquid chromatography-tandem mass spectrometry (LC-MS/MS) multi-omics. To demonstrate utility of the improved method, we used bacteria-primed Arabidopsis leaves to generate multi-omics datasets from the same sample. In total, we were able to analyze 1849 proteins, 1967 metabolites and 424 lipid species in single samples. The molecules cover a wide range of biological and molecular processes. Our results have shown the clear advantages of the multi-omics method, including sample conservation, high reproducibility and tight correlation between different types of biomolecules.

INSTRUMENT(S): LTQ Orbitrap Elite

ORGANISM(S): Arabidopsis Thaliana (mouse-ear Cress)

SUBMITTER: Lisa David  

LAB HEAD: Sixue Chen

PROVIDER: PXD023094 | Pride | 2021-08-17

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
WS_mock_48h_1.raw Raw
WS_mock_48h_2.raw Raw
WS_mock_48h_3.raw Raw
WS_prime_48h_1.raw Raw
WS_prime_48h_2.raw Raw
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Publications

Three-in-One Simultaneous Extraction of Proteins, Metabolites and Lipids for Multi-Omics.

Kang Jianing J   David Lisa L   Li Yangyang Y   Cang Jing J   Chen Sixue S  

Frontiers in genetics 20210415


Elucidation of complex molecular networks requires integrative analysis of molecular features and changes at different levels of information flow and regulation. Accordingly, high throughput functional genomics tools such as transcriptomics, proteomics, metabolomics, and lipidomics have emerged to provide system-wide investigations. Unfortunately, analysis of different types of biomolecules requires specific sample extraction procedures in combination with specific analytical instrumentation. Th  ...[more]

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