Opportunities and challenges of single-cell and spatially resolved genomics methods for neuroscience discovery

IF 21.2 1区 医学 Q1 NEUROSCIENCES
Boyan Bonev, Castelo-Branco Gonçalo, Fei Chen, Simone Codeluppi, M. Ryan Corces, Jean Fan, Myriam Heiman, Kenneth Harris, Fumitaka Inoue, Manolis Kellis, Ariel Levine, Mo Lotfollahi, Chongyuan Luo, Kristen R. Maynard, Mor Nitzan, Vijay Ramani, Rahul Satijia, Lucas Schirmer, Yin Shen, Na Sun, Gilad S. Green, Fabian Theis, Xiao Wang, Joshua D. Welch, Ozgun Gokce, Genevieve Konopka, Shane Liddelow, Evan Macosko, Omer Bayraktar, Naomi Habib, Tomasz J. Nowakowski
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引用次数: 0

Abstract

Over the past decade, single-cell genomics technologies have allowed scalable profiling of cell-type-specific features, which has substantially increased our ability to study cellular diversity and transcriptional programs in heterogeneous tissues. Yet our understanding of mechanisms of gene regulation or the rules that govern interactions between cell types is still limited. The advent of new computational pipelines and technologies, such as single-cell epigenomics and spatially resolved transcriptomics, has created opportunities to explore two new axes of biological variation: cell-intrinsic regulation of cell states and expression programs and interactions between cells. Here, we summarize the most promising and robust technologies in these areas, discuss their strengths and limitations and discuss key computational approaches for analysis of these complex datasets. We highlight how data sharing and integration, documentation, visualization and benchmarking of results contribute to transparency, reproducibility, collaboration and democratization in neuroscience, and discuss needs and opportunities for future technology development and analysis. This review provides an overview of analysis and experimental design of single-cell omics in the brain, emphasizing epigenomics and spatial omics. The authors discuss how the computational and experimental designs are interlinked, with both being guided by the biological questions.

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来源期刊
Nature neuroscience
Nature neuroscience 医学-神经科学
CiteScore
38.60
自引率
1.20%
发文量
212
审稿时长
1 months
期刊介绍: Nature Neuroscience, a multidisciplinary journal, publishes papers of the utmost quality and significance across all realms of neuroscience. The editors welcome contributions spanning molecular, cellular, systems, and cognitive neuroscience, along with psychophysics, computational modeling, and nervous system disorders. While no area is off-limits, studies offering fundamental insights into nervous system function receive priority. The journal offers high visibility to both readers and authors, fostering interdisciplinary communication and accessibility to a broad audience. It maintains high standards of copy editing and production, rigorous peer review, rapid publication, and operates independently from academic societies and other vested interests. In addition to primary research, Nature Neuroscience features news and views, reviews, editorials, commentaries, perspectives, book reviews, and correspondence, aiming to serve as the voice of the global neuroscience community.
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