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Transcriptome sequencing of seven deep marine invertebrates.

John A BurnsJoost DanielsKaitlyn P BeckerDavid CasagrandePaul RobertsEric OrensteinDaniel M VogtZhi Ern TeohRyan WoodAlexander H YinBaptiste GenotRobert J WoodKakani KatijaBrennan T PhillipsDavid F Gruber
Published in: Scientific data (2024)
We present 4k video and whole transcriptome data for seven deep-sea invertebrate animals collected in the Eastern Pacific Ocean during a research expedition onboard the Schmidt Ocean Institute's R/V Falkor in August of 2021. The animals include one jellyfish (Atolla sp.), three siphonophores (Apolemia sp., Praya sp., and Halistemma sp.), one larvacean (Bathochordaeus mcnutti), one tunicate (Pyrosomatidae sp.), and one ctenophore (Lampocteis sp.). Four of the animals were sequenced with long-read RNA sequencing technology, such that the reads themselves define a reference assembly for those animals. The larvacean tissues were successfully preserved in situ and has paired long-read reference data and short read quantitative transcriptomic data for within-specimen analyses of gene expression. Additionally, for three animals we provide quantitative image data, and a 3D model for one siphonophore. The paired image and transcriptomic data can be used for species identification, species description, and reference genetic data for these deep-sea animals.
Keyphrases
  • gene expression
  • electronic health record
  • single cell
  • big data
  • genome wide
  • dna methylation
  • high resolution
  • machine learning
  • data analysis
  • single molecule