विवरण
Principal component analysis of metabolomic data separates precocious from normally developing crabs based on their distinct metabolic profiles.
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Figure 6
Metabolomics profiling identifies significantly altered metabolites in precocious versus normal crabs, with enrichment in lipid and amino acid metabolic pathways.
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Figure 8
Volcano plot visualization highlights metabolites significantly enriched or depleted in precocious crabs compared to age-matched controls.
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Figure 9
Heatmap of top differentially abundant metabolites clusters precocious and normal crabs into distinct groups based on metabolic signatures.
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Figure 11
Lipid metabolite classes are quantified across crab groups, showing elevated steroid and fatty acid metabolites associated with the precocious phenotype.
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Figure 13
Integrated pathway visualization connects transcriptomic gene expression changes to metabolomic shifts in the phenylalanine metabolism pathway of precocious crabs.
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Figure 15
Quantitative PCR validation confirms the differential expression of selected genes identified in the transcriptomic analysis between precocious and normal crabs.
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Integrated Analysis of Transcriptomics and Metabolomics Unveil the Novel Insight of One-Year-Old Precocious Mechanism in the Chinese Mitten Crab, Eriocheir …Cite This Figure
 > Source: Lanmei Wang et al. "Integrated Analysis of Transcriptomics and Metabolomics Unveil the Novel Insight." *International journal of molecular sciences*, 2023. PMID: [37446357](https://pubmed.ncbi.nlm.nih.gov/37446357/)
<figure> <img src="https://pdfs.citedhealth.com/figures/37446357/104.png" alt="Principal component analysis of metabolomic data separates precocious from normally developing crabs based on their distinct metabolic profiles." /> <figcaption>Figure 7. Principal component analysis of metabolomic data separates precocious from normally developing crabs based on their distinct metabolic profiles.<br> Source: Lanmei Wang et al. "Integrated Analysis of Transcriptomics and Metabolomics Unveil the Novel Insight." <em>International journal of molecular sciences</em>, 2023. PMID: <a href="https://pubmed.ncbi.nlm.nih.gov/37446357/">37446357</a></figcaption> </figure>