ArticleJournal of experimental botany2015
Identification of regulatory network hubs that control lipid metabolism in Chlamydomonas reinhardtii.
Article in Journal of experimental botany, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
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Who cites it
50 citing papers in PubMed, 115 citations in OpenAlex.
- Regulatory network rewiring drives strain-specific lipid accumulation response in Chlorella sorokiniana under nutrient starvation.The Plant journal : for cell and molecular biology · 2026Article
- Integrating co-expression network analysis and machine learning to reveal the regulatory landscape ofPeerJ · 2026Article
- Engineering Fatty Acid Biosynthesis in Microalgae: Recent Progress and Perspectives.Marine drugs · 2024Review
- Deciphering the regulatory networks involved in mild and severe salt stress responses in the roots of wild grapevine Vitis vinifera spp. sylvestris.Protoplasma · 2024Article
- Harnessing genetic engineering to drive economic bioproduct production in algae.Frontiers in bioengineering and biotechnology · 2024Review
- Metabolomic response to high light from pgrl1 and pgr5 mutants of Chlamydomonas reinhardtii.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2023Article
- A phase-separated CO2-fixing pyrenoid proteome determined by TurboID in Chlamydomonas reinhardtii.The Plant cell · 2023Article
- From Feasting to Fasting: The Arginine Pathway as a Metabolic Switch in Nitrogen-DeprivedCells · 2023Review
- Widening the landscape of transcriptional regulation of green algal photoprotection.Nature communications · 2023Article
- RegEnrich gene regulator enrichment analysis reveals a key role of the ETS transcription factor family in interferon signaling.Communications biology · 2022Article
- Transcription Factor-Based Genetic Engineering in Microalgae.Plants (Basel, Switzerland) · 2021Review
- Large fluxes of fatty acids from membranes to triacylglycerol and back during N-deprivation and recovery in Chlamydomonas.Plant physiology · 2021Article
- AP2/ERF and R2R3-MYB family transcription factors: potential associations between temperature stress and lipid metabolism in Auxenochlorella protothecoides.Biotechnology for biofuels · 2021Article
- HB-PLS: A statistical method for identifying biological process or pathway regulators by integrating Huber loss and Berhu penalty with partial least squares regression.Forestry research · 2021Article
- Transcriptional and Morpho-Physiological Responses ofInternational journal of molecular sciences · 2020Article
- Article
- Photosynthetic Metabolism and Nitrogen Reshuffling Are Regulated by Reversible Cysteine Thiol Oxidation Following Nitrogen Deprivation in Chlamydomonas.Plants (Basel, Switzerland) · 2020Article
- Intrinsic limitations in mainstream methods of identifying network motifs in biology.BMC bioinformatics · 2020Article
- CrABCA2 Facilitates Triacylglycerol Accumulation inMolecules and cells · 2020Article
- Palm seed and fruit lipid composition: phylogenetic and ecological perspectives.Annals of botany · 2020Article
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microalgae-based biofuels are promising sources of alternative energy, but improvements throughout the production process are required to establish them as economically feasible. One of the most influential improvements would be a significant increase in lipid yields, which could be achieved by altering the regulation of lipid biosynthesis and accumulation. Chlamydomonas reinhardtii accumulates oil (triacylglycerols, TAG) in response to nitrogen (N) deprivation. Although a few important regulatory genes have been identified that are involved in controlling this process, a global understanding of the larger regulatory network has not been developed. In order to uncover this network in this species, a combined omics (transcriptomic, proteomic and metabolomic) analysis was applied to cells grown in a time course experiment after a shift from N-replete to N-depleted conditions. Changes in transcript and protein levels of 414 predicted transcription factors (TFs) and transcriptional regulators (TRs) were monitored relative to other genes. The TF and TR genes were thus classified by two separate measures: up-regulated versus down-regulated and early response versus late response relative to two phases of polar lipid synthesis (before and after TAG biosynthesis initiation). Lipidomic and primary metabolite profiling generated compound accumulation levels that were integrated with the transcript dataset and TF profiling to produce a transcriptional regulatory network. Evaluation of this proposed regulatory network led to the identification of several regulatory hubs that control many aspects of cellular metabolism, from N assimilation and metabolism, to central metabolism, photosynthesis and lipid metabolism.
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