空间转录组学实用指南：来自1000多个样本的经验教训。

IF 14.9 1区工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Trends in biotechnology Pub Date : 2025-09-19 DOI:10.1016/j.tibtech.2025.08.020

Daniela Grases, Eduard Porta-Pardo

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引用次数: 0

摘要

空间转录组学（ST）使 基因表达原位定位成为可能，彻底改变了我们研究组织组织和细胞相互作用的能力。然而，许多团队在实现过程中遇到了实际障碍，包括平台选择、样本质量和实验可扩展性。我们通过处理和分析多个ST平台上的1000多个空间样本，为ST提供实用指南。我们概述了实验设计，组织处理，测序和计算分析的最佳实践，特别注意临床样本。我们的目标是将实践经验转化为支持健壮的、可重复的空间工作流程的建议。本指南旨在帮助各个层次的研究人员：从设计第一次空间实验的人员到旨在将ST整合到大规模研究中的小组。

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A practical guide to spatial transcriptomics: lessons from over 1000 samples.

Spatial transcriptomics (ST) enables the  in situ mapping of gene expression, revolutionizing our ability to study tissue organization and cellular interactions. However, many groups struggle with practical barriers to implementation, including platform selection, sample quality, and experimental scalability. We provide a practical guide to ST, informed by the processing and analysis of over 1000 spatial samples across multiple ST platforms. We outline best practices for experimental design, tissue handling, sequencing, and computational analysis, with special attention to clinical samples. Our goal is to translate hands-on experience into recommendations that support robust, reproducible spatial workflows. This guide is designed to assist researchers at all levels: from those designing their first spatial experiment to groups aiming to integrate ST into large-scale studies.

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来源期刊

Trends in biotechnology 工程技术-生物工程与应用微生物

CiteScore

28.60

自引率

1.20%

发文量

198

审稿时长

1 months

期刊介绍： Trends in Biotechnology publishes reviews and perspectives on the applied biological sciences, focusing on useful science applied to, derived from, or inspired by living systems. The major themes that TIBTECH is interested in include: Bioprocessing (biochemical engineering, applied enzymology, industrial biotechnology, biofuels, metabolic engineering) Omics (genome editing, single-cell technologies, bioinformatics, synthetic biology) Materials and devices (bionanotechnology, biomaterials, diagnostics/imaging/detection, soft robotics, biosensors/bioelectronics) Therapeutics (biofabrication, stem cells, tissue engineering and regenerative medicine, antibodies and other protein drugs, drug delivery) Agroenvironment (environmental engineering, bioremediation, genetically modified crops, sustainable development).