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SMORE:空间基序揭示复杂组织细胞结构中的模式。

SMORE: spatial motifs reveal patterns in cellular architecture of complex tissues.

作者信息

Samadi Zainalabedin, Hao Kai, Askary Amjad

机构信息

Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, 90095, CA, USA.

出版信息

Genome Biol. 2025 Jan 3;26(1):3. doi: 10.1186/s13059-024-03467-5.

Abstract

Deciphering the link between tissue architecture and function requires methods to identify and interpret patterns in spatial arrangement of cells. We present SMORE, an approach to detect patterns in sequential arrangements of cells and examine their associated gene expression specializations. Applied to retina, brain, and embryonic tissue maps, SMORE identifies novel spatial motifs, including one that offers a new mechanism of action for type 1b bipolar cells. Structural signatures detected by SMORE also form a basis for classifying tissues. Together, our method provides a new framework for uncovering spatial complexity in tissue organization and offers novel insights into tissue function.

摘要

解读组织结构与功能之间的联系需要能够识别和解释细胞空间排列模式的方法。我们提出了SMORE,这是一种用于检测细胞顺序排列中的模式并研究其相关基因表达特化的方法。将SMORE应用于视网膜、大脑和胚胎组织图谱时,它能识别出新的空间基序,其中一个基序为1b型双极细胞提供了一种新的作用机制。SMORE检测到的结构特征也构成了组织分类的基础。总之,我们的方法为揭示组织组织中的空间复杂性提供了一个新框架,并为组织功能提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da15/11697875/85ca08787e52/13059_2024_3467_Fig1_HTML.jpg

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