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Extracting new insights from bulk transcriptomics

Nature Neuroscience volume 21, pages 1142–1144 (2018)Cite this article

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The surge in single-cell and single-nucleus RNA-sequencing has raised the question of the value of bulk tissue transcriptomics. Kelley et al. describe an analysis framework by which existing bulk transcriptomic data can be reanalyzed using cell-type-specific data to yield insights into cell-type variation across brain regions and diseases.

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Fig. 1: Mixtures of cell types in bulk tissue can be deconvolved to yield insights into transcriptional identities.

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  1. Center for Translational and Computational Neuroimmunology, Columbia University Medical Center, New York, NY, USA

    Vilas Menon

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  1. Vilas Menon
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Correspondence to Vilas Menon.

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The author declares no competing interests.

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Menon, V. Extracting new insights from bulk transcriptomics. Nat Neurosci 21, 1142–1144 (2018). https://doi.org/10.1038/s41593-018-0218-x

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