Single-cell transcriptome conservation in a comparative analysis of fresh and cryopreserved human skin tissue: pilot in localized scleroderma

被引:23
|
作者
Mirizio, Emily [1 ]
Tabib, Tracy [2 ]
Wang, Xiao [3 ]
Chen, Wei [3 ]
Liu, Christopher [1 ]
Lafyatis, Robert [2 ]
Jacobe, Heidi [4 ]
Torok, Kathryn S. [1 ,2 ,5 ]
机构
[1] Univ Pittsburgh, Childrens Hosp Pittsburgh, Dept Pediat, Div Rheumatol, Pittsburgh, PA 15237 USA
[2] Univ Pittsburgh, Dept Med, Div Rheumatol, Pittsburgh, PA 15237 USA
[3] Univ Pittsburgh, UPMC Childrens Hosp Pittsburgh, Div Pediat Pulm Med, Pittsburgh, PA 15237 USA
[4] Univ Texas Southwestern Med Ctr Dallas, Dept Dermatol, Dallas, TX USA
[5] Univ Pittsburgh, Med Ctr, Childrens Hosp Pittsburgh, Fac Pavil,3rd Floor,Off 3117 4401 Penn Ave, Pittsburgh, PA 15237 USA
基金
美国国家卫生研究院;
关键词
Localized scleroderma; Morphea; Single-cell RNA sequencing; Pediatric rheumatology; Cryopreservation; Transcriptome expression; MORPHEA; HETEROGENEITY; TECHNOLOGY; ADULTS; BLOOD; RNA;
D O I
10.1186/s13075-020-02343-4
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background The purpose of this study was to assess variability in cell composition and cell-specific gene expression in the skin of patients with localized scleroderma (LS) utilizing CryoStor (R) CS10 in comparison to RPMI to produce adequate preservation of tissue samples and cell types of interest for use in large-scale multi-institutional collaborations studying localized scleroderma and other skin disorders. Methods We performed single-cell RNA sequencing on paired skin biopsy specimens from 3 patients with LS. Each patient with one sample cryopreserved in CryoStor (R) CS10 and one fresh in RPMI media using 10x Genomics sequencing. Results Levels of cell viability and yield were comparable between CryoStor (R) CS10 (frozen) and RPMI (fresh) preserved cells. Furthermore, gene expression between preservation methods was collectively significantly correlated and conserved across all 18 identified cell cluster populations. Conclusion Comparable cell population and transcript expression yields between CryoStor (R) CS10 and RPMI preserved cells support the utilization of cryopreserved skin tissue in single-cell analysis. This suggests that employing standardized cryopreservation protocols for the skin tissue will help facilitate multi-site collaborations looking to identify mechanisms of disease in disorders characterized by cutaneous pathology.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Single-cell transcriptome conservation in a comparative analysis of fresh and cryopreserved human skin tissue: pilot in localized scleroderma
    Emily Mirizio
    Tracy Tabib
    Xinjun Wang
    Wei Chen
    Christopher Liu
    Robert Lafyatis
    Heidi Jacobe
    Kathryn S. Torok
    Arthritis Research & Therapy, 22
  • [2] Correction to: Single-cell transcriptome conservation in a comparative analysis of fresh and cryopreserved human skin tissue: pilot in localized scleroderma
    Emily Mirizio
    Tracy Tabib
    Xinjun Wang
    Wei Chen
    Christopher Liu
    Robert Lafyatis
    Heidi Jacobe
    Kathryn S. Torok
    Arthritis Research & Therapy, 23
  • [3] Single-cell transcriptome conservation in a comparative analysis of fresh and cryopreserved human skin tissue: pilot in localized scleroderma (vol 22, 263, 2020)
    Mirizio, Emily
    Tabib, Tracy
    Wang, Xinjun
    Chen, Wei
    Liu, Christopher
    Lafyatis, Robert
    Jacobe, Heidi
    Torok, Kathryn S.
    ARTHRITIS RESEARCH & THERAPY, 2021, 23 (01)
  • [4] Single-cell transcriptome conservation in cryopreserved cells and tissues
    Amy Guillaumet-Adkins
    Gustavo Rodríguez-Esteban
    Elisabetta Mereu
    Maria Mendez-Lago
    Diego A. Jaitin
    Alberto Villanueva
    August Vidal
    Alex Martinez-Marti
    Enriqueta Felip
    Ana Vivancos
    Hadas Keren-Shaul
    Simon Heath
    Marta Gut
    Ido Amit
    Ivo Gut
    Holger Heyn
    Genome Biology, 18
  • [5] Single-cell transcriptome conservation in cryopreserved cells and tissues
    Guillaumet-Adkins, Amy
    Rodriguez-Esteban, Gustavo
    Mereu, Elisabetta
    Mendez-Lago, Maria
    Jaitin, Diego A.
    Villanueva, Alberto
    Vidal, August
    Martinez-Marti, Alex
    Felip, Enriqueta
    Vivancos, Ana
    Keren-Shaul, Hadas
    Heath, Simon
    Gut, Marta
    Amit, Ido
    Gut, Ivo
    Heyn, Holger
    GENOME BIOLOGY, 2017, 18
  • [6] Single-Cell Transcriptome Analysis Identifies Subclusters with Inflammatory Fibroblast Responses in Localized Scleroderma
    Werner, Giffin
    Sanyal, Anwesha
    Mirizio, Emily
    Hutchins, Theresa
    Tabib, Tracy
    Lafyatis, Robert
    Jacobe, Heidi
    Torok, Kathryn S.
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2023, 24 (12)
  • [7] Single-cell transcriptome analysis of endometrial tissue
    Krjutskov, K.
    Katayama, S.
    Saare, M.
    Vera-Rodriguez, M.
    Lubenets, D.
    Samuel, K.
    Laisk-Podar, T.
    Teder, H.
    Einarsdottir, E.
    Salumets, A.
    Kere, J.
    HUMAN REPRODUCTION, 2016, 31 : 248 - 249
  • [8] Single-cell transcriptome analysis of endometrial tissue
    Krjutskov, K.
    Katayama, S.
    Saare, M.
    Vera-Rodriguez, M.
    Lubenets, D.
    Samuel, K.
    Laisk-Podar, T.
    Teder, H.
    Einarsdottir, E.
    Salumets, A.
    Kere, J.
    HUMAN REPRODUCTION, 2016, 31 (04) : 844 - 853
  • [9] An Optimized Tissue Dissociation Protocol for Single-Cell RNA Sequencing Analysis of Fresh and Cultured Human Skin Biopsies
    Burja, Blaz
    Paul, Dominique
    Tastanova, Aizhan
    Edalat, Sam G.
    Gerber, Reto
    Houtman, Miranda
    Elhai, Muriel
    Burki, Kristina
    Staeger, Ramon
    Restivo, Gaetana
    Lang, Ramon
    Sodin-Semrl, Snezna
    Lakota, Katja
    Tomsic, Matija
    Levesque, Mitchell P.
    Distler, Oliver
    Rotar, Ziga
    Robinson, Mark D.
    Frank-Bertoncelj, Mojca
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2022, 10
  • [10] Single-Cell Transcriptome Analysis Profile of Meniscal Tissue Macrophages in Human Osteoarthritis
    Zhou, Jingbin
    Zhao, Zhihong
    He, Chen
    Gao, Feng
    Guo, Yu
    Qu, Feng
    Liu, Yujie
    JOURNAL OF IMMUNOLOGY RESEARCH, 2020, 2020