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Volume 18 Issue 1, January 2021

Method of the Year: spatially resolved transcriptomics

Our choice for the 2020 Method of the Year is spatially resolved transcriptomics. The cover depicts an example of data generated by spatially resolved transcriptomics technology. Middle layer: H&E-stained small intestine section. Bottom layer: mRNA capture platform (for example, barcoded microarray or beads). Top layer: RNA-seq data from the small intestine section.

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Image: Ludvig Larsson, Natalie Stakenborg, Joakim Lundeberg and Guy Boeckxstaens Cover Design: Thomas Phillips

Volume 18 Issue 1

Editorial

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This Month

  • Creativity, passion, inclusion and a targeted way to study circular RNAs.

    • Vivien Marx
    This Month
  • “We demand rigidly defined areas of doubt and uncertainty!” —D. Adams

    • Bernhard Voelkl
    • Hanno Würbel
    • Naomi Altman
    This Month
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Technology Feature

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Comment

  • As single-cell omics continue to advance, the field of spatially resolved transcriptomics has emerged with a set of experimental and computational methods to map out the positions of cells and their gene expression profiles in space. Here we summarize current transcriptome-wide and sequencing-based methodologies and their applications in genomics research.

    • Ludvig Larsson
    • Jonas Frisén
    • Joakim Lundeberg
    Comment
  • The recent advent of genome-scale imaging has enabled single-cell omics analysis in a spatially resolved manner in intact cells and tissues. These advances allow gene expression profiling of individual cells, and hence in situ identification and spatial mapping of cell types, in complex tissues. The high spatial resolution of these approaches further allows determination of the spatial organizations of the genome and transcriptome inside cells, both of which are key regulatory mechanisms for gene expression.

    • Xiaowei Zhuang
    Comment
  • One major challenge in neuroscience is to gain a systematic understanding of the extraordinary diversity of brain cell types and how they contribute to brain function. Spatially resolved transcriptomics holds unmatched promise in unraveling the organization of brain cell types and their relationship with connectivity, circuit dynamics, behavior and disease. Here we discuss neuroscience applications of various spatially resolved transcriptomics methods, as well as technical challenges that need to be overcome to realize their full potentials.

    • Jennie L. Close
    • Brian R. Long
    • Hongkui Zeng
    Comment
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Methods to Watch

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Research Highlights

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Matters Arising

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Brief Communications

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Articles

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Amendments & Corrections

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