ArticleScientific reports2024
Diversity analysis of sea anemone peptide toxins in different tissues of Heteractis crispa based on transcriptomics.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed, 14 citations in OpenAlex.
- Cnidarian Venoms in the Omics Era: Toxin Discovery and Bioactive Potential.Marine drugs · 2026Review
- Crude Venom from Sea AnemoneMarine drugs · 2026Article
- Review
- Transcriptomics-driven exploration of genetic variation and peptide discovery in the sea anemones Anthopleura midori and Actinia equina.Scientific reports · 2025Article
- Large-Scale AI-Based Structure and Activity Prediction Analysis of ShK Domain Peptides from Sea Anemones in the South China Sea.Marine drugs · 2025Article
- Revealing the Diversity of Sequences, Structures, and Targets of Peptides from South China SeaMarine drugs · 2024Article
- Voltage-Gated KMarine drugs · 2024Review
- Isolation and cDNA cloning of four peptide toxins from the sea anemoneThe journal of venomous animals and toxins including tropical diseases · 2024Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
Abstract
Peptide toxins found in sea anemones venom have diverse properties that make them important research subjects in the fields of pharmacology, neuroscience and biotechnology. This study used high-throughput sequencing technology to systematically analyze the venom components of the tentacles, column, and mesenterial filaments of sea anemone Heteractis crispa, revealing the diversity and complexity of sea anemone toxins in different tissues. A total of 1049 transcripts were identified and categorized into 60 families, of which 91.0% were proteins and 9.0% were peptides. Of those 1049 transcripts, 416, 291, and 307 putative proteins and peptide precursors were identified from tentacles, column, and mesenterial filaments respectively, while 428 were identified when the datasets were combined. Of these putative toxin sequences, 42 were detected in all three tissues, including 33 proteins and 9 peptides, with the majority of peptides being ShKT domain, β-defensin, and Kunitz-type. In addition, this study applied bioinformatics approaches to predict the family classification, 3D structures, and functional annotation of these representative peptides, as well as the evolutionary relationships between peptides, laying the foundation for the next step of peptide pharmacological activity research.
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Registered trials
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