High-throughput and high-efficiency sample preparation for single-cell proteomics using a nested nanowell chip (vol 12, 6246, 2021)

被引:4
|
作者
Woo, Jongmin
Williams, Sarah M.
Markillie, Lye Meng
Feng, Song
Tsai, Chia-Feng
Aguilera-Vazquez, Victor
Sontag, Ryan L.
Moore, Ronald J.
Hu, Dehong
Mehta, Hardeep S.
Cantlon-Bruce, Joshua
Liu, Tao
Adkins, Joshua N.
Smith, Richard D.
Clair, Geremy C.
Pasa-Tolic, Ljiljana
Zhu, Ying
机构
[1] Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, 99354, WA
[2] Biological Sciences Division, Pacific Northwest National Laboratory, Richland, 99354, WA
[3] Scienion AG, Volmerstraße 7, Berlin
[4] Cellenion SASU, 60 Avenue Rockefeller, Bâtiment BioSerra2, Lyon
关键词
D O I
10.1038/s41467-021-27110-0
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
Global quantification of protein abundances in single cells could provide direct information on cellular phenotypes and complement transcriptomics measurements. However, single-cell proteomics is still immature and confronts many technical challenges. Herein we describe a nested nanoPOTS (N2) chip to improve protein recovery, operation robustness, and processing throughput for isobaric-labeling-based scProteomics workflow. The N2 chip reduces reaction volume to <30 nL and increases capacity to >240 single cells on a single microchip. The tandem mass tag (TMT) pooling step is simplified by adding a microliter droplet on the nested nanowells to combine labeled single-cell samples. In the analysis of ~100 individual cells from three different cell lines, we demonstrate that the N2 chip-based scProteomics platform can robustly quantify ~1500 proteins and reveal membrane protein markers. Our analyses also reveal low protein abundance variations, suggesting the single-cell proteome profiles are highly stable for the cells cultured under identical conditions. © 2021, This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.
引用
收藏
页数:1
相关论文
共 50 条
  • [21] Simplified, High-throughput Analysis of Single-cell Contractility using Micropatterned Elastomers
    Hairapetian, Lara
    Cortes, Enrico
    Zhao, Junyi
    Wang, Yao
    Huang, Ricky
    Damoiseaux, Robert
    Pushkarsky, Ivan
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2022, (182):
  • [22] Polarization of Macrophages in Tumor Microenvironment Using High-Throughput Single-Cell Metabolomics
    Hu, Xuesen
    Liu, Xinlin
    Feng, Disheng
    Xu, Tianrun
    Li, Hang
    Hu, Chunxiu
    Wang, Zhizhou
    Liu, Xinyu
    Yin, Peiyuan
    Shi, Xianzhe
    Shang, Dong
    Xu, Guowang
    ANALYTICAL CHEMISTRY, 2024, 96 (37) : 14935 - 14943
  • [23] Multifunctional High-Throughput Single-Cell Analysis using Reconfigurable Amplifier Array
    White, Kevin A.
    Mulberry, Geoffrey
    Kim, Brian N.
    BIOPHYSICAL JOURNAL, 2017, 112 (03) : 461A - 461A
  • [24] A high-throughput sample preparation method for cellular proteomics using 96-well filter plates
    Switzar, Linda
    van Angeren, Jordy
    Pinkse, Martijn
    Kool, Jeroen
    Niessen, Wilfried M. A.
    PROTEOMICS, 2013, 13 (20) : 2980 - 2983
  • [26] High-throughput production of single-cell microparticles using an inkjet printing technology
    Xu, Tao
    Kincaid, Helen
    Atala, Anthony
    Yoo, James J.
    JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2008, 130 (02): : 0210171 - 0210175
  • [27] High-throughput single-cell ChIP-seq identifies heterogeneity of chromatin states in breast cancer
    Grosselin, Kevin
    Durand, Adeline
    Marsolier, Justine
    Poitou, Adeline
    Marangoni, Elisabetta
    Nemati, Fariba
    Dahmani, Ahmed
    Lameiras, Sonia
    Reyal, Fabien
    Frenoy, Olivia
    Pousse, Yannick
    Reichen, Marcel
    Woolfe, Adam
    Brenan, Colin
    Griffiths, Andrew D.
    Vallot, Celine
    Gerard, Annabelle
    NATURE GENETICS, 2019, 51 (06) : 1060 - +
  • [28] High-throughput single-cell ChIP-seq identifies heterogeneity of chromatin states in breast cancer
    Kevin Grosselin
    Adeline Durand
    Justine Marsolier
    Adeline Poitou
    Elisabetta Marangoni
    Fariba Nemati
    Ahmed Dahmani
    Sonia Lameiras
    Fabien Reyal
    Olivia Frenoy
    Yannick Pousse
    Marcel Reichen
    Adam Woolfe
    Colin Brenan
    Andrew D. Griffiths
    Céline Vallot
    Annabelle Gérard
    Nature Genetics, 2019, 51 : 1060 - 1066
  • [29] TIMING 2.0: high-throughput single-cell profiling of dynamic cell-cell interactions by time-lapse imaging microscopy in nanowell grids
    Lu, Hengyang
    Li, Jiabing
    Martinez-Paniagua, Melisa A.
    Bandey, Irfan N.
    Amritkar, Amit
    Singh, Harjeet
    Mayerich, David
    Varadarajan, Navin
    Roysam, Badrinath
    BIOINFORMATICS, 2019, 35 (04) : 706 - 708
  • [30] Protocol for high-throughput single-cell patterning using a reusable ultrathin metal microstencil
    Tian, Qingqing
    Xing, Kunming
    Liu, Yongshu
    Wang, Qian
    Sun, Haonan
    Sun, Ying-Nan
    Zhang, Shusheng
    STAR PROTOCOLS, 2023, 4 (01):