Single-cell transcriptional analysis of irradiated skin reveals changes in fibroblast subpopulations and variability in caveolin expression

被引:0
|
作者
Kameni, Lionel E. [1 ]
Griffin, Michelle [1 ]
Berry, Charlotte E. [1 ,2 ]
Shariatzadeh, Siavash [1 ]
Downer Jr, Mauricio A. [1 ]
Valencia, Caleb [1 ]
Fazilat, Alexander Z. [1 ]
Nazerali, Rahim [1 ]
Momeni, Arash [1 ]
Januszyk, Michael [1 ,4 ]
Longaker, Michael T. [1 ,3 ]
Wan, Derrick C. [1 ,4 ]
机构
[1] Stanford Univ, Sch Med, Hagey Lab Pediat Regenerat Med, Stanford, CA 94305 USA
[2] Geisel Sch Med Dartmouth, Hanover, NH USA
[3] Stanford Univ, Inst Stem Cell Biol & Regenerat Med, Stanford, CA USA
[4] Stanford Univ, Sch Med, Div Plast & Reconstruct Surg, 257 Campus Dr,GK 102, Stanford, CA 94305 USA
关键词
Radiation-induced fibrosis; Radiation therapy; Single-cell RNA sequencing; Caveolin; PLASMA-MEMBRANE; RADIATION; FIBROSIS; CANCER; SURVIVAL; MICE;
D O I
10.1186/s13014-024-02472-z
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundRadiation-induced fibrosis (RIF) is an important late complication of radiation therapy, and the resulting damaging effects of RIF can significantly impact reconstructive outcomes. There is currently a paucity of effective treatment options available, likely due to the continuing knowledge gap surrounding the cellular mechanisms involved. In this study, detailed analyses of irradiated and non-irradiated human skin samples were performed incorporating histological and single-cell transcriptional analysis to identify novel features guiding development of skin fibrosis following radiation injury.MethodsPaired irradiated and contralateral non-irradiated skin samples were obtained from six female patients undergoing post-oncologic breast reconstruction. Skin samples underwent histological evaluation, immunohistochemistry, and biomechanical testing. Single-cell RNA sequencing was performed using the 10X single cell platform. Cells were separated into clusters using Seurat in R. The SingleR classifier was applied to ascribe cell type identities to each cluster. Differentially expressed genes characteristic to each cluster were then determined using non-parametric testing.ResultsComparing irradiated and non-irradiated skin, epidermal atrophy, dermal thickening, and evidence of thick, disorganized collagen deposition within the extracellular matrix of irradiated skin were readily appreciated on histology. These histologic features were associated with stiffness that was higher in irradiated skin. Single-cell RNA sequencing revealed six predominant cell types. Focusing on fibroblasts/stromal lineage cells, five distinct transcriptional clusters (Clusters 0-4) were identified. Interestingly, while all clusters were noted to express Cav1, Cluster 2 was the only one to also express Cav2. Immunohistochemistry demonstrated increased expression of Cav2 in irradiated skin, whereas Cav1 was more readily identified in non-irradiated skin, suggesting Cav1 and Cav2 may act antagonistically to modulate fibrotic cellular responses.ConclusionIn response to radiation therapy, specific changes to fibroblast subpopulations and enhanced Cav2 expression may contribute to fibrosis. Altogether, this study introduces a novel pathway of caveolin involvement which may contribute to fibrotic development following radiation injury.
引用
收藏
页数:11
相关论文
共 50 条
  • [2] Comprehensive single-cell analysis reveals heterogeneity of fibroblast subpopulations in ovarian cancer tissue microenvironment
    Ding, Bo
    Ye, Zheng
    Yin, Han
    Hong, Xin-Yi
    Feng, Song-wei
    Xu, Jing-Yun
    Shen, Yang
    HELIYON, 2024, 10 (06)
  • [3] Single-cell analysis reveals prognostic fibroblast subpopulations linked to molecular and immunological subtypes of lung cancer
    Hanley, Christopher J.
    Waise, Sara
    Ellis, Matthew J.
    Lopez, Maria A.
    Pun, Wai Y.
    Taylor, Julian
    Parker, Rachel
    Kimbley, Lucy M.
    Chee, Serena J.
    Shaw, Emily C.
    West, Jonathan
    Alzetani, Aiman
    Woo, Edwin
    Ottensmeier, Christian H.
    Rose-Zerilli, Matthew J. J.
    Thomas, Gareth J.
    NATURE COMMUNICATIONS, 2023, 14 (01)
  • [4] Single-cell analysis reveals prognostic fibroblast subpopulations linked to molecular and immunological subtypes of lung cancer
    Christopher J. Hanley
    Sara Waise
    Matthew J. Ellis
    Maria A. Lopez
    Wai Y. Pun
    Julian Taylor
    Rachel Parker
    Lucy M. Kimbley
    Serena J. Chee
    Emily C. Shaw
    Jonathan West
    Aiman Alzetani
    Edwin Woo
    Christian H. Ottensmeier
    Matthew J. J. Rose-Zerilli
    Gareth J. Thomas
    Nature Communications, 14
  • [5] Integrative Single-Cell Analysis of Cardiomyopathy Identifies Differences in Cell Stemness and Transcriptional Regulatory Networks among Fibroblast Subpopulations
    Nie, Wenyang
    Zhao, Zhijie
    Liu, Yuhang
    Wang, Youcao
    Zhang, Jingwen
    Hu, Ying
    Liu, Yang
    Wang, Yong
    Wang, Zhen
    CARDIOLOGY RESEARCH AND PRACTICE, 2024, 2024
  • [6] Spatial and single-cell transcriptional profiling identifies functionally distinct human dermal fibroblast subpopulations
    Philippeos, C.
    Telerman, S.
    Oules, B.
    Pisco, A.
    Shaw, T.
    Elgueta, R.
    Lombardi, G.
    Driskell, R.
    Soldin, M.
    Lynch, M.
    Watt, F.
    BRITISH JOURNAL OF DERMATOLOGY, 2018, 178 (06) : E405 - E405
  • [7] Spatial and Single-Cell Transcriptional Profiling Identifies Functionally Distinct Human Dermal Fibroblast Subpopulations
    Philippeos, Christina
    Telerman, Stephanie B.
    Oules, Benedicte
    Pisco, Angela O.
    Shawl, Tanya J.
    Elgueta, Raul
    Lombardi, Giovanna
    Driskell, Ryan R.
    Soldin, Mark
    Lynch, Magnus D.
    Watt, Fiona M.
    JOURNAL OF INVESTIGATIVE DERMATOLOGY, 2018, 138 (04) : 811 - 825
  • [8] Spatial and single-cell transcriptional profiling identifies functionally distinct human dermal fibroblast subpopulations
    Philippeos, C.
    Telerman, S. B.
    Oules, B.
    Pisco, A. O.
    Shaw, T. J.
    Elgueta, R. A.
    Lombardi, G.
    Driskell, R. R.
    Soldin, M.
    Lynch, M. D.
    Watt, F. M.
    JOURNAL OF INVESTIGATIVE DERMATOLOGY, 2018, 138 (05) : S230 - S230
  • [9] Single-cell Gene Expression Analysis Uncovered Fibroblast Subpopulations in Early-stage Pulmonary Fibrosis
    Sugihara, J.
    Okamoto, T.
    Aoki, H.
    Takasawa, S.
    Honda, T.
    Asakawa, A.
    Ishibashi, H.
    Okubo, K.
    Miyazaki, Y.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2024, 209
  • [10] Single-cell gene expression analysis reveals regulators of distinct cell subpopulations among developing human neurons
    Wang, Jiaxu
    Jenjaroenpun, Piroon
    Bhinge, Akshay
    Angarica, Vladimir Espinosa
    Del Sol, Antonio
    Nookaew, Intawat
    Kuznetsov, Vladimir A.
    Stanton, Lawrence W.
    GENOME RESEARCH, 2017, 27 (11) : 1783 - 1794