Microscopy-based single-cell proteomic profiling reveals heterogeneity in DNA damage response dynamics

被引:12
|
作者
Su, Pin-Rui [1 ,2 ,5 ]
You, Li [1 ,2 ]
Beerens, Cecile [1 ,2 ]
Bezstarosti, Karel [3 ]
Demmers, Jeroen [3 ]
Pabst, Martin [4 ]
Kanaar, Roland [1 ,2 ,6 ]
Hsu, Cheng-Chih [5 ]
Chien, Miao-Ping [1 ,2 ,6 ]
机构
[1] Erasmus MC, Dept Mol Genet, Rotterdam, Netherlands
[2] Erasmus MC Canc Inst, Rotterdam, Netherlands
[3] Erasmus MC, Prote Core Facil, Rotterdam, Netherlands
[4] Delft Univ Technol, Dept Biotechnol, Delft, Netherlands
[5] Natl Taiwan Univ, Dept Chem, Taipei, Taiwan
[6] Oncode Inst, Utrecht, Netherlands
来源
CELL REPORTS METHODS | 2022年 / 2卷 / 06期
关键词
PLATFORM; REPAIR;
D O I
10.1016/j.crmeth.2022.100237
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Single-cell proteomics has the potential to decipher tumor heterogeneity, and a method like single-cell proteomics by mass spectrometry (SCoPE-MS) allows profiling several tens of single cells for >1,000 proteins per cell. This method, however, cannot link the proteome of individual cells with phenotypes of interest. Here, we developed a microscopy-based functional single-cell proteomic-profiling technology, called FUNpro, to address this. FUNpro enables screening, identification, and isolation of single cells of interest in a realtime fashion, even if the phenotypes are dynamic or the cells of interest are rare. We applied FUNpro to proteomically profile a newly identified small subpopulation of U2OS osteosarcoma cells displaying an abnormal, prolonged DNA damage response (DDR) after ionizing radiation (IR). With this, we identified the PDS5A protein contributing to the abnormal DDR dynamics and helping the cells survive after IR.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] Single-cell transcriptome profiling reveals intra-tumoral heterogeneity in human chordomas
    Wanru Duan
    Boyan Zhang
    Xinqiang Li
    Wei Chen
    Shanhang Jia
    Zong Xin
    Qiang Jian
    Fengzeng Jian
    Dean Chou
    Zan Chen
    Cancer Immunology, Immunotherapy, 2022, 71 : 2185 - 2195
  • [32] Single-cell profiling reveals heterogeneity and functional patterning of GPCR expression in the vascular system
    Kaur, H.
    Carvalho, J.
    Looso, M.
    Singh, P.
    Chennupati, R.
    Preussner, J.
    Guenther, S.
    Albarran-Juarez, J.
    Tischner, D.
    Classen, S.
    Offermanns, S.
    Wettschureck, N.
    NATURE COMMUNICATIONS, 2017, 8
  • [33] Harnessing atomic force microscopy-based single-cell analysis to advance physical oncology
    Li, Mi
    MICROSCOPY RESEARCH AND TECHNIQUE, 2024, 87 (04) : 631 - 659
  • [34] Atomic Force Microscopy-Based Single-Cell Indentation: Experimentation and Finite Element Simulation
    Ladjal, Hamid
    Hanus, Jean-Luc
    Pillarisetti, Anand
    Keefer, Carol
    Ferreira, Antoine
    Desai, Jaydev P.
    2009 IEEE-RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, 2009, : 1326 - 1332
  • [35] Single-cell DNA and RNA sequencing reveals the dynamics of intra-tumor heterogeneity in a colorectal cancer model
    Ono, Hanako
    Arai, Yasuhito
    Furukawa, Eisaku
    Narushima, Daichi
    Matsuura, Tetsuya
    Nakamura, Hiromi
    Shiokawa, Daisuke
    Nagai, Momoko
    Imai, Toshio
    Mimori, Koshi
    Okamoto, Koji
    Hippo, Yoshitaka
    Shibata, Tatsuhiro
    Kato, Mamoru
    BMC BIOLOGY, 2021, 19 (01)
  • [36] Single-cell DNA and RNA sequencing reveals the dynamics of intra-tumor heterogeneity in a colorectal cancer model
    Hanako Ono
    Yasuhito Arai
    Eisaku Furukawa
    Daichi Narushima
    Tetsuya Matsuura
    Hiromi Nakamura
    Daisuke Shiokawa
    Momoko Nagai
    Toshio Imai
    Koshi Mimori
    Koji Okamoto
    Yoshitaka Hippo
    Tatsuhiro Shibata
    Mamoru Kato
    BMC Biology, 19
  • [37] Unravelling single-cell DNA replication timing dynamics using machine learning reveals heterogeneity in cancer progression
    Josephides, Joseph M.
    Chen, Chun-Long
    NATURE COMMUNICATIONS, 2025, 16 (01)
  • [38] Single-cell profiling reveals transcriptome dynamics during bovine oocyte growth
    Latorraca, Lais Barbosa
    Galvao, Antonio
    Rabaglino, Maria Belen
    D'Augero, Julieta Maria
    Kelsey, Gavin
    Fair, Trudee
    BMC GENOMICS, 2024, 25 (01)
  • [39] Chromatin Velocity reveals epigenetic dynamics by single-cell profiling of heterochromatin and euchromatin
    Martina Tedesco
    Francesca Giannese
    Dejan Lazarević
    Valentina Giansanti
    Dalia Rosano
    Silvia Monzani
    Irene Catalano
    Elena Grassi
    Eugenia R. Zanella
    Oronza A. Botrugno
    Leonardo Morelli
    Paola Panina Bordignon
    Giulio Caravagna
    Andrea Bertotti
    Gianvito Martino
    Luca Aldrighetti
    Sebastiano Pasqualato
    Livio Trusolino
    Davide Cittaro
    Giovanni Tonon
    Nature Biotechnology, 2022, 40 : 235 - 244
  • [40] Chromatin Velocity reveals epigenetic dynamics by single-cell profiling of heterochromatin and euchromatin
    Tedesco, Martina
    Giannese, Francesca
    Lazarevic, Dejan
    Giansanti, Valentina
    Rosano, Dalia
    Monzanis, Silvia
    Catalano, Irene
    Grassi, Elena
    Zanella, Eugenia R.
    Botrugno, Oronza A.
    Morelli, Leonardo
    Bordignon, Paola Panina
    Caravagna, Giulio
    Bertotti, Andrea
    Martino, Gianvito
    Aldrighetti, Luca
    Pasqualato, Sebastiano
    Trusolino, Livio
    Cittaro, Davide
    Tonon, Giovanni
    NATURE BIOTECHNOLOGY, 2022, 40 (02) : 235 - +