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  1. Artikel ; Online: Correction to: Identification and Localization of Cell Types in the Mouse Olfactory Bulb Using Slide-SeqV2.

    Fang, Ai / Petentler, Kaitlyn / Price, Andrew / Malloy, Seth / Peterson, Michael / Maddera, Lucinda / Russell, Jonathon / Treese, McKenzie / Li, Hua / Wang, Yongfu / McKinney, Sean / Perera, Anoja / Yu, C Ron

    Methods in molecular biology (Clifton, N.J.)

    2023  Band 2710, Seite(n) C1

    Sprache Englisch
    Erscheinungsdatum 2023-10-11
    Erscheinungsland United States
    Dokumenttyp Published Erratum
    ISSN 1940-6029
    ISSN (online) 1940-6029
    DOI 10.1007/978-1-0716-3425-7_17
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: Identification and Localization of Cell Types in the Mouse Olfactory Bulb Using Slide-SeqV2.

    Fang, Ai / Petentler, Kaitlyn / Price, Andrew / Malloy, Seth / Peterson, Michael / Maddera, Lucinda / Russell, Jonathon / Treese, McKenzie / Li, Hua / Wang, Yongfu / McKinney, Sean / Perera, Anoja / Yu, C Ron

    Methods in molecular biology (Clifton, N.J.)

    2023  Band 2710, Seite(n) 171–183

    Abstract: Spatial transcriptomics maps RNA molecules to the location in a tissue where they are expressed. Here we document the use of Slide-SeqV2 to visualize gene expression in the mouse olfactory bulb (OB). This approach relies on spatially identified beads to ... ...

    Abstract Spatial transcriptomics maps RNA molecules to the location in a tissue where they are expressed. Here we document the use of Slide-SeqV2 to visualize gene expression in the mouse olfactory bulb (OB). This approach relies on spatially identified beads to locate and quantify individual transcripts. The expression profiles associated with the beads are used to identify and localize individual cell types in an unbiased manner. We demonstrate the various cell types and subtypes with distinct spatial locations in the olfactory bulb that are identified using Slide-SeqV2.
    Mesh-Begriff(e) Animals ; Mice ; Olfactory Bulb ; Gene Expression Profiling
    Sprache Englisch
    Erscheinungsdatum 2023-09-08
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
    ISSN 1940-6029
    ISSN (online) 1940-6029
    DOI 10.1007/978-1-0716-3425-7_13
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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