Embryo-scale Visual Cell Sorting reveals a conserved transcriptomic signature of nucleolar size linked to proteostasis.

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Bibliographic Details
Title: Embryo-scale Visual Cell Sorting reveals a conserved transcriptomic signature of nucleolar size linked to proteostasis.
Authors: Kim HJ; Department of Genome Sciences, University of Washington, Seattle, WA, USA., Pendyala S; Department of Genome Sciences, University of Washington, Seattle, WA, USA.; Medical Scientist Training Program, University of Washington, Seattle, WA, USA., Lin J; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA., Cooke T; Life Sciences Division, Yokogawa Corporation of America, Denver, CO, USA., Li G; Department of Genome Sciences, University of Washington, Seattle, WA, USA.; eScience Institute, University of Washington, Seattle, WA, USA., Noble WS; Department of Genome Sciences, University of Washington, Seattle, WA, USA.; Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA., Deng X; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA., Disteche CM; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.; Department of Medicine, University of Washington, Seattle, WA, USA., Trapnell C; Department of Genome Sciences, University of Washington, Seattle, WA, USA.; Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA, USA.; Seattle Hub for Synthetic Biology, Seattle, WA, USA., Fowler DM; Department of Genome Sciences, University of Washington, Seattle, WA, USA.; Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA, USA.; Department of Bioengineering, University of Washington, Seattle, WA, USA.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2026 May 26. Date of Electronic Publication: 2026 May 26.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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