A platform for high-throughput bioenergy production phenotype characterization in single cells

被引:0
|
作者
Laimonas Kelbauskas
Honor Glenn
Clifford Anderson
Jacob Messner
Kristen B. Lee
Ganquan Song
Jeff Houkal
Fengyu Su
Liqiang Zhang
Yanqing Tian
Hong Wang
Kimberly Bussey
Roger H. Johnson
Deirdre R. Meldrum
机构
[1] Center for Biosignatures Discovery Automation,
[2] The Biodesign Institute,undefined
[3] Arizona State University,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Driven by an increasing number of studies demonstrating its relevance to a broad variety of disease states, the bioenergy production phenotype has been widely characterized at the bulk sample level. Its cell-to-cell variability, a key player associated with cancer cell survival and recurrence, however, remains poorly understood due to ensemble averaging of the current approaches. We present a technology platform for performing oxygen consumption and extracellular acidification measurements of several hundreds to 1,000 individual cells per assay, while offering simultaneous analysis of cellular communication effects on the energy production phenotype. The platform comprises two major components: a tandem optical sensor for combined oxygen and pH detection, and a microwell device for isolation and analysis of single and few cells in hermetically sealed sub-nanoliter chambers. Our approach revealed subpopulations of cells with aberrant energy production profiles and enables determination of cellular response variability to electron transfer chain inhibitors and ion uncouplers.
引用
收藏
相关论文
共 50 条
  • [21] A high-throughput expression screening platform to optimize the production of antimicrobial peptides
    Schreiber, Christine
    Mueller, Hagen
    Birrenbach, Oliver
    Klein, Moritz
    Heerd, Doreen
    Weidner, Tobias
    Salzig, Denise
    Czermak, Peter
    MICROBIAL CELL FACTORIES, 2017, 16
  • [22] High-throughput mechanical phenotyping and transcriptomics of single cells
    Shiomi, Akifumi
    Kaneko, Taikopaul
    Nishikawa, Kaori
    Tsuchida, Arata
    Isoshima, Takashi
    Sato, Mayuko
    Toyooka, Kiminori
    Doi, Kentaro
    Nishikii, Hidekazu
    Shintaku, Hirofumi
    NATURE COMMUNICATIONS, 2024, 15 (01)
  • [23] A Microarray Platform for High-Throughput Single-Cell Capture and Culture
    Luo, Tao
    Hou, Jundi
    Chow, Yu Ting
    Sun, Dong
    2016 IEEE 10TH INTERNATIONAL CONFERENCE ON NANO/MOLECULAR MEDICINE AND ENGINEERING (NANOMED), 2016, : 69 - 72
  • [24] Developments of Conventional and Microfluidic Flow Cytometry Enabling High-Throughput Characterization of Single Cells
    Wang, Minruihong
    Liang, Hongyan
    Chen, Xiao
    Chen, Deyong
    Wang, Junbo
    Zhang, Yuan
    Chen, Jian
    BIOSENSORS-BASEL, 2022, 12 (07):
  • [25] Flow cytometric platform for high-throughput single nucleotide polymorphism analysis
    Taylor, JD
    Briley, D
    Nguyen, Q
    Long, K
    Iannone, MA
    Li, MS
    Ye, F
    Afshari, A
    Lai, E
    Wagner, M
    Chen, J
    Weiner, MP
    BIOTECHNIQUES, 2001, 30 (03) : 661 - +
  • [26] A Microfluidic Platform for High-throughput Single-cell Isolation and Culture
    Lin, Ching-Hui
    Chang, Hao-Chen
    Hsu, Chia-Hsien
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2016, (112):
  • [27] Highly multiplexed and high-throughput analysis of single cells
    Chiu, Daniel
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2018, 256
  • [28] Development of a Microfluidic Platform for High-Throughput Characterization of Multiple Biophysical Properties of Single-Cell Membranes
    Yu, Hongfei
    Chen, Xiao
    Zhang, Yi
    Yang, Shuhao
    Gui, Lili
    Chen, Deyong
    Wang, Junbo
    Chen, Jian
    Wang, Ke
    2023 IEEE SENSORS, 2023,
  • [29] High-throughput viscoelastic characterization of cells in hyperbolic microchannels
    Reichel, Felix
    Goswami, Ruchi
    Girardo, Salvatore
    Guck, Jochen
    LAB ON A CHIP, 2024, 24 (09) : 2440 - 2453
  • [30] High-throughput Interbacterial Competition Platform
    Lin, Hsiao-Han
    Lai, Erh-Min
    BIO-PROTOCOL, 2020, 10 (17):