Gut mucosa dissociation protocols influence cell type proportions and single-cell gene expression levels

被引:23
作者
Venema, Werna T. C. Uniken [1 ,2 ]
Ramirez-Sanchez, Aaron D. [2 ]
Bigaeva, Emilia [1 ]
Withoff, Sebo [2 ]
Jonkers, Iris [2 ]
McIntyre, Rebecca E. [3 ]
Ghouraba, Mennatallah [3 ]
Raine, Tim [4 ]
Weersma, Rinse K. [1 ]
Franke, Lude [2 ]
Festen, Eleonora A. M. [1 ]
van der Wijst, Monique G. P. [2 ]
机构
[1] Univ Groningen, Univ Med Ctr Groningen, Dept Gastroenterol & Hepatol, Groningen, Netherlands
[2] Univ Groningen, Univ Med Ctr Groningen, Dept Genet, Groningen, Netherlands
[3] Wellcome Sanger Inst, Hinxton CB10 1SA, Cambs, England
[4] Cambridge Univ Hosp NHS Fdn Trust, Addenbrookes Hosp, Dept Gastroenterol, Cambridge, England
关键词
RNA-SEQ; TRANSCRIPTOME; TISSUE; COLON;
D O I
10.1038/s41598-022-13812-y
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
Single-cell RNA sequencing (scRNA-seq) has revolutionized the study of the cellular landscape of organs. Most single-cell protocols require fresh material, which limits sample size per experiment, and consequently, introduces batch effects. This is especially true for samples acquired through complex medical procedures, such as intestinal mucosal biopsies. Moreover, the tissue dissociation procedure required for obtaining single cells is a major source of noise; different dissociation procedures applied to different compartments of the tissue induce artificial gene expression differences between cell subsets. To overcome these challenges, we have developed a one-step dissociation protocol and demonstrated its use on cryopreserved gut mucosal biopsies. Using flow cytometry and scRNA-seq analysis, we compared this one-step dissociation protocol with the current gold standard, two-step collagenase digestion, and an adaptation of a recently published alternative, three-step cold-active Bacillus licheniformus protease digestion. Both cell viability and cell type composition were comparable between the one-step and two-step collagenase dissociation, with the former being more time-efficient. The cold protease digestion resulted in equal cell viability, but better preserves the epithelial cell types. Consequently, to analyze the rarer cell types, such as glial cells, larger total biopsy cell numbers are required as input material. The multi-step protocols affected cell types spanning multiple compartments differently. In summary, we show that cryopreserved gut mucosal biopsies can be used to overcome the logistical challenges and batch effects in large scRNA-seq studies. Furthermore, we demonstrate that using cryopreserved biopsies digested using a one-step collagenase protocol enables large-scale scRNA-seq, FACS, organoid generation and intraepithelial lymphocyte expansion.
引用
收藏
页数:14
相关论文
共 47 条
[1]   SINC-seq: correlation of transient gene expressions between nucleus and cytoplasm reflects single-cell physiology [J].
Abdelmoez, Mahmoud N. ;
Iida, Kei ;
Oguchi, Yusuke ;
Nishikii, Hidekazu ;
Yokokawa, Ryuji ;
Kotera, Hidetoshi ;
Uemura, Sotaro ;
Santiago, Juan G. ;
Shintaku, Hirofumi .
GENOME BIOLOGY, 2018, 19
[2]   High-throughput spatial mapping of single-cell RNA-seq data to tissue of origin [J].
Achim, Kaia ;
Pettit, Jean-Baptiste ;
Saraiva, Luis R. ;
Gavriouchkina, Daria ;
Larsson, Tomas ;
Arendt, Detlev ;
Marioni, John C. .
NATURE BIOTECHNOLOGY, 2015, 33 (05) :503-U215
[3]   Psychrophilic proteases dramatically reduce single-cell RNA-seq artifacts: a molecular atlas of kidney development [J].
Adam, Mike ;
Potter, Andrew S. ;
Potter, S. Steven .
DEVELOPMENT, 2017, 144 (19) :3625-3632
[4]   The Intestinal Epithelium: Central Coordinator of Mucosal Immunity [J].
Allaire, Joannie M. ;
Crowley, Shauna M. ;
Law, Hong T. ;
Chang, Sun-Young ;
Ko, Hyun-Jeong ;
Vallance, Bruce A. .
TRENDS IN IMMUNOLOGY, 2018, 39 (09) :677-696
[5]   scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data [J].
Alquicira-Hernandez, Jose ;
Sathe, Anuja ;
Ji, Hanlee P. ;
Quan Nguyen ;
Powell, Joseph E. .
GENOME BIOLOGY, 2019, 20 (01)
[6]   Single-cell transcriptomics from human pancreatic islets: sample preparation matters [J].
Bonnycastle, Lori L. ;
Gildea, Derek E. ;
Yan, Tingfen ;
Narisu, Narisu ;
Swift, Amy J. ;
Wolfsberg, Tyra G. ;
Erdos, Michael R. ;
Collins, Francis S. .
BIOLOGY METHODS & PROTOCOLS, 2019, 4 (01)
[7]   Comparison of lymphocyte isolation methods for endoscopic biopsy specimens from the colonic mucosa [J].
Carrasco, Anna ;
Mane, Josep ;
Santaolalla, Rebeca ;
Pedrosa, Elisabet ;
Mallolas, Josefina ;
Loren, Violeta ;
Fernandez, Marco ;
Fernandez-Banares, Fernando ;
Rosinach, Merce ;
Loras, Carme ;
Forne, Montserrat ;
Andujar, Xavier ;
Vidal, Judith ;
Maria Viver, Josep ;
Esteve, Maria .
JOURNAL OF IMMUNOLOGICAL METHODS, 2013, 389 (1-2) :29-37
[8]   Imaging Mass Cytometry [J].
Chang, Qing ;
Ornatsky, Olga I. ;
Siddiqui, Iram ;
Loboda, Alexander ;
Baranov, Vladimir I. ;
Hedley, David W. .
CYTOMETRY PART A, 2017, 91A (02) :160-169
[9]   Inflammatory Bowel Disease Through the Lens of Single-cell RNA-seq Technologies [J].
Corridoni, Daniele ;
Chapman, Thomas ;
Antanaviciute, Agne ;
Satsangi, Jack ;
Simmons, Alison .
INFLAMMATORY BOWEL DISEASES, 2020, 26 (11) :1658-1668
[10]   Systematic assessment of tissue dissociation and storage biases in single-cell and single-nucleus RNA-seq workflows [J].
Denisenko, Elena ;
Guo, Belinda B. ;
Jones, Matthew ;
Hou, Rui ;
de Kock, Leanne ;
Lassmann, Timo ;
Poppe, Daniel ;
Clement, Olivier ;
Simmons, Rebecca K. ;
Lister, Ryan ;
Forrest, Alistair R. R. .
GENOME BIOLOGY, 2020, 21 (01)