Clump sequencing exposes the spatial expression programs of intestinal secretory cells.
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IF: 17.694
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Cited by: 33
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Datasets
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Abstract

Single-cell RNA sequencing combined with spatial information on landmark genes enables reconstruction of spatially-resolved tissue cell atlases. However, such approaches are challenging for rare cell types, since their mRNA contents are diluted in the spatial transcriptomics bulk measurements used for landmark gene detection. In the small intestine, enterocytes, the most common cell type, exhibit zonated expression programs along the crypt-villus axis, but zonation patterns of rare cell types such as goblet and tuft cells remain uncharacterized. Here, we present ClumpSeq, an approach for sequencing small clumps of attached cells. By inferring the crypt-villus location of each clump from enterocyte landmark genes, we establish spatial atlases for all epithelial cell types in the small intestine. We identify elevated expression of immune-modulatory genes in villus tip goblet and tuft cells and heterogeneous migration patterns of enteroendocrine cells. ClumpSeq can be applied for reconstructing spatial atlases of rare cell types in other tissues and tumors.

Keywords

Spatial Transcriptomics

MeSH terms

Animals
Biological Transport
Cell Differentiation
Computational Biology
Enterocytes
Enteroendocrine Cells
Epithelial Cells
Epithelium
Gene Expression
Intestinal Mucosa
Intestine, Small
Intestines
Mice
Mice, Inbred C57BL
RNA, Messenger
Sequence Analysis, RNA

Authors

Manco, Rita
Averbukh, Inna
Porat, Ziv
Bahar Halpern, Keren
Amit, Ido
Itzkovitz, Shalev

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