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一种从低输入量冷冻保存组织中分离细胞核用于单核转录组学的通用且高效的方法。

A versatile and efficient method to isolate nuclei from low-input cryopreserved tissues for single-nuclei transcriptomics.

作者信息

Segovia Cristopher, Desrosiers Vincent, Khadangi Fatemeh, Robitaille Karine, Armero Victoria Saavedra, D'Astous Myreille, Khelifi Gabriel, Bergeron Alain, Hussein Samer, Richer Maxime, Bossé Yohan, Fradet Yves, Fradet Vincent, Bilodeau Steve

机构信息

Centre de recherche du CHU de Québec - Université Laval, Axe Oncologie, 1401, 18e rue, Québec, Québec, G1J 1Z4, Canada.

Centre de recherche sur le cancer de l'Université Laval, Québec, Québec, G1R 3S3, Canada.

出版信息

Sci Rep. 2025 Feb 15;15(1):5581. doi: 10.1038/s41598-025-90070-8.

Abstract

Clinical samples are vital for understanding diseases, but their scarcity requires refined research methods. Emerging single-cell technologies offer detailed views of tissue heterogeneity but need sufficient fully characterized tissues. We developed an optimized single-nuclei RNA sequencing (snRNA-seq) protocol to extract nuclei from just 15 mg of cryopreserved human tissue. Applied to four cancer tissues (brain, bladder, lung, prostate), it profiled 1550-7468 nuclei per tissue, revealing heterogeneity comparable to public single-cell atlases. This method enhances the use and sharing of rare, cryopreserved biospecimens, supporting research where sample quantity is limited and full tissue characterization is needed.

摘要

临床样本对于了解疾病至关重要,但其稀缺性需要精细的研究方法。新兴的单细胞技术提供了组织异质性的详细视图,但需要足够的特征充分的组织。我们开发了一种优化的单核RNA测序(snRNA-seq)方案,以从仅15毫克冷冻保存的人体组织中提取细胞核。应用于四种癌组织(脑、膀胱、肺、前列腺),每个组织分析了1550-7468个细胞核,揭示了与公开的单细胞图谱相当的异质性。这种方法增强了对稀有冷冻保存生物样本的利用和共享,支持了样本数量有限且需要完整组织特征描述的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8f7/11829965/c6a451aeaed1/41598_2025_90070_Fig1_HTML.jpg

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