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Implementation and validation of single-cell genomics experiments in neuroscience.

Nature neuroscience

Authors: Marco Colonna, Genevieve Konopka, Shane A Liddelow, Tomasz Nowakowski, Rajeshwar Awatramani, Helen S Bateup, Cathryn R Cadwell, Emre Caglayan, Jerry L Chen, Jesse Gillis, Martin Kampmann, Fenna Krienen, Samuel E Marsh, Michelle Monje, Michael R O'Dea, Rickie Patani, Alex A Pollen, Francisco J Quintana, Marissa Scavuzzo, Matthew Schmitz, Steven A Sloan, Paul J Tesar, Jessica Tollkuhn, Maria Antonietta Tosches, Madeleine E Urbanek, Jonathan M Werner, Omer A Bayraktar, Ozgun Gokce, Naomi Habib

Single-cell or single-nucleus transcriptomics is a powerful tool for identifying cell types and cell states. However, hypotheses derived from these assays, including gene expression information, require validation, and their functional relevance needs to be established. The choice of validation depends on numerous factors. Here, we present types of orthogonal and functional validation experiment to strengthen preliminary findings obtained using single-cell and single-nucleus transcriptomics as well as the challenges and limitations of these approaches.

© 2024. Springer Nature America, Inc.

PMID: 39627589

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