Frontiers in Cell and Developmental BiologyGenomicsPeer-reviewed journal article
Robust Acquisition of High Resolution Spatial Transcriptomes from Preserved Tissues with Immunofluorescence Based Laser Capture Microdissection
Xiaodan ZhangiD, Chuansheng HuiD, Chen HuangiD, Ying WeiiD, Xiaowei LiiD, Miaomiao HuiD, Hua LiiD, Ji WuiD, Daniel Mark CzajkowskyiD, Yan GuoiD, Zhifeng ShaoiD
Abstract
The functioning of tissues is fundamentally dependent upon not only the phenotypes of the constituent cells but also their spatial organization in the tissue. However, acquisition of comprehensive transcriptomes of spatially- and phenotypically-defined cells in situ remains challenging. Here we present a general and robust method based on immunofluorescence-guided laser capture microdissection (immuno-LCM-RNAseq) to acquire finely resolved spatial transcriptomes including isoforms with as few as tens of cells from snap-frozen or RNAlater-treated clinical tissues, circumventing the problem of significant RNA degradation during this time-consuming process. The efficacy of this approach is exemplified by the characterization of differences at the transcript isoform level between the mouse small intestine lacteal cells at the tip versus the main capillary body. With the extensive repertoire of specific antibodies that are presently available, our method provides a powerful means by which spatially resolved cellular states can now be delineated in situ with preserved tissues. Moreover, such high quality spatial transcriptomes defined by immunomarkers can be used to compare with the phenotypes derived from single-cell RNAseq of dissociated cells as well as applied to bead-based spatial transcriptomic approaches that require such information a priori for cell identification.
- organism: mouse
- assay: spatial transcriptomics
- research focus: cell type annotation
- research focus: benchmarking
- approach: experimental assay
- Citations
- 18
- FWCI
- 1.31
- Field percentile
- top 21%
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