Adhesion-based high-throughput label-free cell sorting using ridged microfluidic channels

被引:1
|
作者
Chrit, Fatima Ezahra [1 ]
Li, Peiru [1 ]
Sulchek, Todd [1 ]
Alexeev, Alexander [1 ]
机构
[1] Georgia Inst Technol, George W Woodruff Sch Mech Engn, Atlanta, GA 30332 USA
基金
美国国家科学基金会;
关键词
SELECTIVELY ENTRAP; SHEAR-FLOW; MICROCAPSULES; DEFORMATION; SIMULATIONS; SEPARATION; STRENGTH; SURFACES; CAPTURE; PSGL-1;
D O I
10.1039/d3sm01117h
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Numerous applications in medical diagnostics, cell engineering therapy, and biotechnology require the identification and sorting of cells that express desired molecular surface markers. We developed a microfluidic method for high-throughput and label-free sorting of biological cells by their affinity of molecular surface markers to target ligands. Our approach consists of a microfluidic channel decorated with periodic skewed ridges and coated with adhesive molecules. The periodic ridges form gaps with the opposing channel wall that are smaller than the cell diameter, thereby ensuring cell contact with the adhesive surfaces. Using three-dimensional computer simulations, we examine trajectories of adhesive cells in the ridged microchannels. The simulations reveal that cell trajectories are sensitive to the cell adhesion strength. Thus, the differential cell trajectories can be leveraged for adhesion-based cell separation. We probe the effect of cell elasticity on the adhesion-based sorting and show that cell elasticity can be utilized to enhance the resolution of the sorting. Furthermore, we investigate how the microchannel ridge angle can be tuned to achieve an efficient adhesion-based sorting of cells with different compliance. Numerous applications in medical diagnostics, cell engineering therapy, and biotechnology require the identification and sorting of cells that express desired molecular surface markers.
引用
收藏
页码:1913 / 1921
页数:9
相关论文
共 50 条
  • [31] Label-free microfluidic cell sorting and detection for rapid blood analysis
    Lu, Nan
    Tay, Hui Min
    Petchakup, Chayakorn
    He, Linwei
    Gong, Lingyan
    Maw, Kay Khine
    Leong, Sheng Yuan
    Lok, Wan Wei
    Ong, Hong Boon
    Guo, Ruya
    Li, King Ho Holden
    Hou, Han Wei
    LAB ON A CHIP, 2023, 23 (05) : 1226 - 1257
  • [32] High-throughput label-free molecular fingerprinting flow cytometry
    Hiramatsu, Kotaro
    Ideguchi, Takuro
    Yonamine, Yusuke
    Lee, SangWook
    Luo, Yizhi
    Hashimoto, Kazuki
    Ito, Takuro
    Hase, Misa
    Park, Jee-Woong
    Kasai, Yusuke
    Sakuma, Shinya
    Hayakawa, Takeshi
    Arai, Fumihito
    Hoshino, Yu
    Goda, Keisuke
    SCIENCE ADVANCES, 2019, 5 (01):
  • [33] Label-free, high-throughput, electrical detection of cells in droplets
    Kemna, Evelien W. M.
    Segerink, Loes I.
    Wolbers, Floor
    Vermes, Istvan
    van den Berg, Albert
    ANALYST, 2013, 138 (16) : 4585 - 4592
  • [34] Label-Free High-Throughput Leukemia Detection by Holographic Microscopy
    Ugele, Matthias
    Weniger, Markus
    Stanzel, Manfred
    Bassler, Michael
    Krause, Stefan W.
    Friedrich, Oliver
    Hayden, Oliver
    Richter, Lukas
    ADVANCED SCIENCE, 2018, 5 (12)
  • [35] Use of Microarrays as a High-Throughput Platform for Label-Free Biosensing
    Sun, Yung-Shin
    JALA, 2015, 20 (04): : 334 - 353
  • [36] An Automated Pipeline for High-Throughput Label-Free Quantitative Proteomics
    Weisser, Hendrik
    Nahnsen, Sven
    Grossmann, Jonas
    Nilse, Lars
    Quandt, Andreas
    Brauer, Hendrik
    Sturm, Marc
    Kenar, Erhan
    Kohlbacher, Oliver
    Aebersold, Ruedi
    Malinstroemt, Lars
    JOURNAL OF PROTEOME RESEARCH, 2013, 12 (04) : 1628 - 1644
  • [37] Label-free Cell Sorting Using Inertial Microfluidics
    Warkiani, Majid Ebrahimi
    2019 13TH IEEE INTERNATIONAL CONFERENCE ON NANO/MOLECULAR MEDICINE & ENGINEERING (IEEE-NANOMED 2019), 2019, : 52 - 53
  • [38] Label-free and high-throughput removal of residual undifferentiated iPSCs from their differentiated progenitor cells by inertial microfluidic cell sorter
    Tan Dai Nguyen
    Chooi, Wai Hon
    Chen, Jiahui
    Roxby, Daniel Ninio
    Yao, Jerome Tan Zu
    Jeon, Hyungkook
    Ng, Shi Yan
    Chew, Sing Yian
    Han, Jongyoon
    TISSUE ENGINEERING PART A, 2022, 28 : 168 - 168
  • [39] Computer vision meets microfluidics: a label-free method for high-throughput cell analysis
    Zhou, Shizheng
    Chen, Bingbing
    Fu, Edgar S.
    Yan, Hong
    MICROSYSTEMS & NANOENGINEERING, 2023, 9 (01)
  • [40] Computer vision meets microfluidics: a label-free method for high-throughput cell analysis
    Shizheng Zhou
    Bingbing Chen
    Edgar S. Fu
    Hong Yan
    Microsystems & Nanoengineering, 9