利用空间转录组学解码细胞间通讯

IF 52 1区 生物学 Q1 GENETICS & HEREDITY Nature Reviews Genetics Pub Date : 2025-02-21 DOI:10.1038/s41576-025-00824-3
Ankit Agrawal
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引用次数: 0

摘要

在这篇贸易工具文章中,Ankit Agrawal介绍了NiCo(生态位共变)计算框架,该框架将空间转录组学与单细胞rna测序数据相结合,以研究细胞间的通讯。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Decoding cell–cell communication using spatial transcriptomics
In this Tools of the Trade article, Ankit Agrawal introduces the computational framework NiCo (Niche Covariation), which integrates spatial transcriptomics with single-cell RNA-sequencing data to study cell–cell communication.
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来源期刊
Nature Reviews Genetics
Nature Reviews Genetics 生物-遗传学
CiteScore
57.40
自引率
0.50%
发文量
113
审稿时长
6-12 weeks
期刊介绍: At Nature Reviews Genetics, our goal is to be the leading source of reviews and commentaries for the scientific communities we serve. We are dedicated to publishing authoritative articles that are easily accessible to our readers. We believe in enhancing our articles with clear and understandable figures, tables, and other display items. Our aim is to provide an unparalleled service to authors, referees, and readers, and we are committed to maximizing the usefulness and impact of each article we publish. Within our journal, we publish a range of content including Research Highlights, Comments, Reviews, and Perspectives that are relevant to geneticists and genomicists. With our broad scope, we ensure that the articles we publish reach the widest possible audience. As part of the Nature Reviews portfolio of journals, we strive to uphold the high standards and reputation associated with this esteemed collection of publications.
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