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
  • [31] Spatiotemporal Microbial Single-Cell Analysis Using a High-Throughput Microfluidics Cultivation Platform
    Gruenberger, Alexander
    Probst, Christopher
    Helfrich, Stefan
    Nanda, Arun
    Stute, Birgit
    Wiechert, Wolfgang
    von Lieres, Eric
    Noeh, Katharina
    Frunzke, Julia
    Kohlheyer, Dietrich
    CYTOMETRY PART A, 2015, 87A (12) : 1101 - 1115
  • [32] High-Throughput, Living Single-Cell, Multiple Secreted Biomarker Profiling Using Microfluidic Chip and Machine Learning for Tumor Cell Classification
    Wang, Chao
    Wang, Chunhua
    Wu, Yu
    Gao, Jianwei
    Han, Yingkuan
    Chu, Yujin
    Qiang, Le
    Qiu, Jiaoyan
    Gao, Yakun
    Wang, Yanhao
    Song, Fangteng
    Wang, Yihe
    Shao, Xiaowei
    Zhang, Yu
    Han, Lin
    ADVANCED HEALTHCARE MATERIALS, 2022, 11 (13)
  • [33] High-Throughput Single-Cell, Single-Mitochondrial DNA Assay Using Hydrogel Droplet Microfluidics
    Park, Juhwan
    Kadam, Parnika S.
    Atiyas, Yasemin
    Chhay, Bonirath
    Tsourkas, Andrew
    Eberwine, James H.
    Issadore, David A.
    ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2024, 63 (18)
  • [34] Intelligent microscopic imaging system based on microwell array chip for high-throughput analysis of single-cell heterogeneity☆
    Ye, Lingzhi
    Deng, Rui
    Zhi, Aiping
    Sun, Duo
    Ye, Wei
    Hu, Shi
    Zhan, Tingting
    Hao, Rui
    Chen, Xi
    Sun, Bin
    Liu, Chunyan
    Dang, Lin
    Li, Meng
    Chen, Zebin
    Zeng, Lin
    Shen, Jienan
    Qu, Xiangmeng
    Yang, Hui
    MICROCHEMICAL JOURNAL, 2025, 211
  • [35] High-throughput and single-cell imaging of NF-κB oscillations using monoclonal cell lines
    Bartfeld, Sina
    Hess, Simone
    Bauer, Bianca
    Machuy, Nikolaus
    Ogilvie, Lesley A.
    Schuchhardt, Johannes
    Meyer, Thomas F.
    BMC CELL BIOLOGY, 2010, 11
  • [36] High-throughput and single-cell imaging of NF-κB oscillations using monoclonal cell lines
    Sina Bartfeld
    Simone Hess
    Bianca Bauer
    Nikolaus Machuy
    Lesley A Ogilvie
    Johannes Schuchhardt
    Thomas F Meyer
    BMC Cell Biology, 11
  • [37] Rapid preparation and single-cell analysis of concentrated blood smears using a high-throughput blood cell separator and a microfabricated grid film
    You, Dongwon
    Oh, Sein
    Kim, Byeongyeon
    Hahn, Young Ki
    Choi, Sungyoung
    JOURNAL OF CHROMATOGRAPHY A, 2017, 1507 : 141 - 148
  • [38] Dynamic analysis of MAPK signaling using a high-throughput microfluidic single-cell imaging platform
    Taylor, R. J.
    Falconnet, D.
    Niemistoe, A.
    Ramsey, S. A.
    Prinz, S.
    Shmulevich, I.
    Galitski, T.
    Hansen, C. L.
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2009, 106 (10) : 3758 - 3763
  • [39] High-throughput quantitation of inorganic nanoparticle biodistribution at the single-cell level using mass cytometry
    Yu-Sang Sabrina Yang
    Prabhani U. Atukorale
    Kelly D. Moynihan
    Ahmet Bekdemir
    Kavya Rakhra
    Li Tang
    Francesco Stellacci
    Darrell J. Irvine
    Nature Communications, 8
  • [40] Identification of lipolytic enzymes using high-throughput single-cell screening and sorting of a metagenomic library
    Alma'abadi, Amani
    Behzad, Hayedeh
    Alarawi, Mohammed
    Conchouso, David
    Saito, Yoshimoto
    Hosokawa, Masahito
    Nishikawa, Yohei
    Kogawa, Masato
    Takeyama, Haruko
    Mineta, Katsuhiko
    Gojobori, Takashi
    NEW BIOTECHNOLOGY, 2022, 70 : 102 - 108