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

被引:0
|
作者
Segovia, Cristopher [1 ,2 ]
Desrosiers, Vincent [3 ,4 ]
Khadangi, Fatemeh [1 ,2 ]
Robitaille, Karine [1 ,2 ,5 ,6 ]
Armero, Victoria Saavedra [7 ]
D'Astous, Myreille [8 ,9 ]
Khelifi, Gabriel [1 ,2 ]
Bergeron, Alain [1 ,2 ,10 ]
Hussein, Samer [1 ,2 ,11 ]
Richer, Maxime [8 ,9 ]
Bosse, Yohan [7 ,12 ]
Fradet, Yves [1 ,2 ,8 ,10 ]
Fradet, Vincent [1 ,2 ,5 ,6 ,8 ]
Bilodeau, Steve [1 ,2 ,11 ,13 ]
机构
[1] Univ Laval, Ctr Rech CHU Quebec, Axe Oncol, 1401,18e Rue, Quebec City, PQ G1J 1Z4, Canada
[2] Ctr Rech Canc Univ Laval, Quebec City, PQ G1R 3S3, Canada
[3] Univ Laval, Ctr Rech CHU Quebec, Axe Malad Infect & Immunitaires, Quebec City, PQ G1V 4G2, Canada
[4] Ctr Rech ARThrite Univ Laval, Quebec City, PQ G1V 4G2, Canada
[5] Univ Laval, Ctr Rech NUTRISS Nutr Sante & Soc, Quebec City, PQ G1V 4G2, Canada
[6] Inst Nutr & Aliments Fonct Univ Laval, Quebec City, PQ G1V 4G2, Canada
[7] Inst Univ Cardiol & Pneumol Quebec Univ Laval, Quebec City, PQ G1V 4G5, Canada
[8] Univ Laval, CHU Quebec, Quebec City, PQ G1R 2J6, Canada
[9] Univ Laval, Ctr Rech CHU Quebec, Axe Neurosci, Quebec City, PQ G1V 4G2, Canada
[10] Univ Laval, Fac Med, Dept Chirurg, Quebec City, PQ G1V 0A6, Canada
[11] Univ Laval, Fac Med, Dept Biol Mol Biochim Med & Pathol, Quebec City, PQ G1V 0A6, Canada
[12] Univ Laval, Fac Med, Dept Med Mol, Quebec City, PQ G1V 0A6, Canada
[13] Univ Laval, Ctr Rech Donnees Mass, Quebec City, PQ G1V 0A6, Canada
来源
SCIENTIFIC REPORTS | 2025年 / 15卷 / 01期
基金
加拿大自然科学与工程研究理事会; 加拿大健康研究院;
关键词
Nuclei isolation; Tissue heterogeneity; Transcriptomics; Cancer; Tissue homogenization; Nuclei sorting; CELL;
D O I
10.1038/s41598-025-90070-8
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:11
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