空间转录组学：生物技术、计算工具和神经科学应用（Small Methods 5/2025）

IF 10.7 2区材料科学 Q1 CHEMISTRY, PHYSICAL

Small Methods Pub Date : 2025-05-24 DOI:10.1002/smtd.202570033

Qianwen Wang, Hongyuan Zhu, Lin Deng, Shuangbin Xu, Wenqin Xie, Ming Li, Rui Wang, Liang Tie, Li Zhan, Guangchuang Yu

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引用次数: 0

摘要

计算工具该图像以空间转录组学为特征，在数字背景下显示大脑部分。这项技术精确地绘制了脑组织中的基因表达，推动了从细胞图谱到疾病诊断等多个领域的进步，彻底改变了大脑分子研究。详见余光创及其同事的2401107号文章。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Spatial Transcriptomics: Biotechnologies, Computational Tools, and Neuroscience Applications (Small Methods 5/2025)

Computational Tools

The image features spatial transcriptomics, displaying a brain section against a digital backdrop. This technology precisely maps gene expression in brain tissue, driving advances across multiple fields, from cell atlas to disease diagnostics, revolutionizing brain molecular research. More in article number 2401107 by Guangchuang Yu and co-workers.

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来源期刊

Small Methods Materials Science-General Materials Science

CiteScore

17.40

自引率

1.60%

发文量

347

期刊介绍： Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.