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Microfluidic system-based time-course tracking of physical proximity between cells and its effect on gene expression for elucidating live single cancer-immune cell interactions

Bianca C. T. Flores, Smriti Chawla, Ning Ma, Chad Sanada, Praveen Kumar Kujur, Ludmilla T. D. Chinen, Kyle Hukari, Mark Lynch, Naveen Ramalingam, Debarka Sengupta, View ORCID ProfileStefanie S. Jeffrey
doi: https://doi.org/10.1101/2021.11.13.468447
Bianca C. T. Flores
1Department of Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
2Circulating Tumor Cells Group, A.C.Camargo Cancer Center, São Paulo, SP, 01508-010, Brazil
3Cancer Biology and Epigenetics Group, IPO Porto Research Center (CI-IPOP), Portuguese Oncology Institute of Porto (IPO Porto), 4200-072, Portugal
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Smriti Chawla
4Department for Computational Biology, Indraprastha Institute of Information Technology, New Delhi 110020, India
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Ning Ma
1Department of Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
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Chad Sanada
5New Technologies Group, Fluidigm Corporation, South San Francisco, CA 94080, USA
6Systems Integration Group, Inscripta Inc, Pleasanton, CA 94588, USA
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Praveen Kumar Kujur
1Department of Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
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Ludmilla T. D. Chinen
2Circulating Tumor Cells Group, A.C.Camargo Cancer Center, São Paulo, SP, 01508-010, Brazil
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Kyle Hukari
5New Technologies Group, Fluidigm Corporation, South San Francisco, CA 94080, USA
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Mark Lynch
5New Technologies Group, Fluidigm Corporation, South San Francisco, CA 94080, USA
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Naveen Ramalingam
5New Technologies Group, Fluidigm Corporation, South San Francisco, CA 94080, USA
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  • For correspondence: ssj@stanford.edu debarka@iiitd.ac.in naveen.ramalingam@fluidigm.com
Debarka Sengupta
4Department for Computational Biology, Indraprastha Institute of Information Technology, New Delhi 110020, India
7Department of Computer Science and Engineering, Indraprastha Institute of Information Technology, New Delhi 110020, India
8Centre for Artificial Intelligence, Indraprastha Institute of Information Technology, New Delhi 110020, India
9Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane QLD 4001, Australia
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  • For correspondence: ssj@stanford.edu debarka@iiitd.ac.in naveen.ramalingam@fluidigm.com
Stefanie S. Jeffrey
1Department of Surgery, Stanford University School of Medicine, Stanford, CA 94305, USA
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  • ORCID record for Stefanie S. Jeffrey
  • For correspondence: ssj@stanford.edu debarka@iiitd.ac.in naveen.ramalingam@fluidigm.com
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Summary

Cell-cell communication and physical interactions play a vital role in cancer initiation, homeostasis, progression, and immune response. Here, we report a system that combines live capture of different cell types, co-incubation, time-lapse imaging, and gene expression profiling of doublets using a microfluidic integrated fluidic circuit (IFC) that enables measurement of physical distances between cells and the associated transcriptional profiles due to cell-cell interactions. The temporal variations in natural killer (NK) - triple-negative breast cancer (TNBC) cell distances were tracked and compared with terminally profiled cellular transcriptomes. The results showed the time-bound activities of regulatory modules and alluded to the existence of transcriptional memory. Our experimental and bioinformatic approaches serve as a proof of concept for interrogating live cell interactions at doublet resolution, which can be applied across different cancers and cell types.

Competing Interest Statement

K.H and N.R. are employees and stockholders of Fluidigm Corporation. M.L is a former employee and stockholder of Fluidigm Corporation. D.S. is a partner and equity holder at CareOnco Biotech Pvt. Ltd. S.S.J. serves as a scientific advisor for Quantumcyte and Ravel Biotechnology.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted November 14, 2021.
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Microfluidic system-based time-course tracking of physical proximity between cells and its effect on gene expression for elucidating live single cancer-immune cell interactions
Bianca C. T. Flores, Smriti Chawla, Ning Ma, Chad Sanada, Praveen Kumar Kujur, Ludmilla T. D. Chinen, Kyle Hukari, Mark Lynch, Naveen Ramalingam, Debarka Sengupta, Stefanie S. Jeffrey
bioRxiv 2021.11.13.468447; doi: https://doi.org/10.1101/2021.11.13.468447
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Microfluidic system-based time-course tracking of physical proximity between cells and its effect on gene expression for elucidating live single cancer-immune cell interactions
Bianca C. T. Flores, Smriti Chawla, Ning Ma, Chad Sanada, Praveen Kumar Kujur, Ludmilla T. D. Chinen, Kyle Hukari, Mark Lynch, Naveen Ramalingam, Debarka Sengupta, Stefanie S. Jeffrey
bioRxiv 2021.11.13.468447; doi: https://doi.org/10.1101/2021.11.13.468447

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