Whole-animal multiplexed single-cell RNA-seq reveals transcriptional shifts across Clytia medusa cell types
Autor: | Chari, Tara, Weissbourd, Brandon, Gehring, Jase, Ferraioli, Anna, Leclère, Lucas, Herl, Makenna, Gao, Fan, Chevalier, Sandra, Copley, Richard R., Houliston, Evelyn, Anderson, David J., Pachter, Lior |
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Přispěvatelé: | California Institute of Technology (CALTECH), University of Washington [Seattle], Laboratoire de Biologie du Développement de Villefranche sur mer (LBDV), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), University of New Hampshire (UNH) |
Rok vydání: | 2021 |
Předmět: |
0303 health sciences
Cell type Multidisciplinary [SDV.BA]Life Sciences [q-bio]/Animal biology Systems Biology Cell SciAdv r-articles RNA-Seq Computational biology Biology Transcriptome 03 medical and health sciences 0302 clinical medicine medicine.anatomical_structure Clytia hemisphaerica [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN] Genetics medicine Biomedicine and Life Sciences WHOLE ANIMAL ComputingMilieux_MISCELLANEOUS 030217 neurology & neurosurgery Research Article 030304 developmental biology |
Zdroj: | Science Advances Science Advances, American Association for the Advancement of Science (AAAS), 2021, 7 (48), ⟨10.1126/sciadv.abh1683⟩ SCIENCE ADVANCES |
ISSN: | 2375-2548 |
Popis: | Description Whole-organism perturbations reveal single-cell responses across the Clytia medusa. We present an organism-wide, transcriptomic cell atlas of the hydrozoan medusa Clytia hemisphaerica and describe how its component cell types respond to perturbation. Using multiplexed single-cell RNA sequencing, in which individual animals were indexed and pooled from control and perturbation conditions into a single sequencing run, we avoid artifacts from batch effects and are able to discern shifts in cell state in response to organismal perturbations. This work serves as a foundation for future studies of development, function, and regeneration in a genetically tractable jellyfish species. Moreover, we introduce a powerful workflow for high-resolution, whole-animal, multiplexed single-cell genomics that is readily adaptable to other traditional or nontraditional model organisms. |
Databáze: | OpenAIRE |
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