Implementation and validation of single-cell genomics experiments in neuroscience

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 SchmitzSteven A. Sloan, Paul J. Tesar, Jessica Tollkuhn, Maria Antonietta Tosches, Madeleine E. Urbanek, Jonathan M. Werner, Omer A. Bayraktar*, Ozgun Gokce*, Naomi Habib*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Article numbere8746
Pages (from-to)2310-2325
Number of pages16
JournalNature Neuroscience
Volume27
Issue number12
DOIs
StatePublished - Dec 2024

Bibliographical note

Publisher Copyright:
© Springer Nature America, Inc. 2024.

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