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Related Experiment Video

Updated: Dec 13, 2025

Analysis of Fatty Acid Content and Composition in Microalgae

Analysis of Fatty Acid Content and Composition in Microalgae

Published on: October 1, 2013

Methods for Algal Protein Isolation and Proteome Analysis.

Eric P Knoshaug¹, Alida T Gerritsen², Calvin A Henard²

¹National Renewable Energy Laboratory, Golden, CO, USA. eric.knoshaug@nrel.gov.

Methods in Molecular Biology (Clifton, N.J.)

|July 29, 2020

Summary

This summary is machine-generated.

Microalgae efficiently convert carbon into storage compounds when nutrients are scarce. This study details methods to analyze algal proteins, aiding the development of better biofuel-producing strains.

Keywords:

Biofuels Chlorella vulgaris Microalgae Proteomics

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Last Updated: Dec 13, 2025

Analysis of Fatty Acid Content and Composition in Microalgae

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Published on: October 1, 2013

2 in 1: One-step Affinity Purification for the Parallel Analysis of Protein-Protein and Protein-Metabolite Complexes

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A Multi-Omics Extraction Method for the In-Depth Analysis of Synchronized Cultures of the Green Alga Chlamydomonas reinhardtii

A Multi-Omics Extraction Method for the In-Depth Analysis of Synchronized Cultures of the Green Alga Chlamydomonas reinhardtii

Published on: August 8, 2019

Area of Science:

Biotechnology
Biochemistry
Algal research

Background:

Microalgae are key feedstocks for renewable fuels and chemicals.
Nutrient deprivation triggers carbon partitioning to storage compounds like triacylglycerides.
Understanding these mechanisms is crucial for engineering efficient algal biocatalysts.

Purpose of the Study:

To elucidate the mechanisms of nutrient deprivation-mediated carbon partitioning in microalgae.
To present methods for proteomic and post-translational analyses in microalgae.
To enable targeted strain engineering for enhanced biofuel production.

Main Methods:

Isolation of total protein from microalgae.
Proteomic analysis to identify protein expression changes.
Phosphoproteomic and nitrosoproteomic analyses to evaluate post-translational modifications.
Focus on the model oleaginous alga Chlorella vulgaris.

Main Results:

Established protocols for comprehensive proteomic and post-translational analyses in microalgae.
Provided a foundation for understanding algal responses to nutrient deprivation at the protein level.
Highlighted the importance of post-transcriptional regulation in carbon flux.

Conclusions:

Proteomic and post-translational analyses are essential for fully understanding microalgal responses to nutrient deprivation.
These methods facilitate targeted engineering of microalgal strains for biofuel and chemical production.
The described methods are applicable to Chlorella vulgaris and other microalgal systems.