Your browser doesn't support javascript.
loading
Optofluidic real-time cell sorter for longitudinal CTC studies in mouse models of cancer.
Hamza, Bashar; Ng, Sheng Rong; Prakadan, Sanjay M; Delgado, Francisco Feijó; Chin, Christopher R; King, Emily M; Yang, Lucy F; Davidson, Shawn M; DeGouveia, Kelsey L; Cermak, Nathan; Navia, Andrew W; Winter, Peter S; Drake, Riley S; Tammela, Tuomas; Li, Carman Man-Chung; Papagiannakopoulos, Thales; Gupta, Alejandro J; Shaw Bagnall, Josephine; Knudsen, Scott M; Vander Heiden, Matthew G; Wasserman, Steven C; Jacks, Tyler; Shalek, Alex K; Manalis, Scott R.
Affiliation
  • Hamza B; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139.
  • Ng SR; David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
  • Prakadan SM; David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
  • Delgado FF; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139.
  • Chin CR; David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
  • King EM; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139.
  • Yang LF; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139.
  • Davidson SM; Broad Institute of MIT and Harvard, Cambridge, MA 02142.
  • DeGouveia KL; Ragon Institute of MGH, MIT and Harvard University, Cambridge, MA 02139.
  • Cermak N; David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
  • Navia AW; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139.
  • Winter PS; David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
  • Drake RS; David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
  • Tammela T; David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
  • Li CM; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139.
  • Papagiannakopoulos T; David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
  • Gupta AJ; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139.
  • Shaw Bagnall J; David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
  • Knudsen SM; Department of Biomedical Engineering, Wentworth Institute of Technology, Boston, MA 02115.
  • Vander Heiden MG; David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
  • Wasserman SC; Program in Computational and Systems Biology, Massachusetts Institute of Technology, Cambridge, MA 02139.
  • Jacks T; David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142.
  • Shalek AK; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139.
  • Manalis SR; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139.
Proc Natl Acad Sci U S A ; 116(6): 2232-2236, 2019 02 05.
Article in En | MEDLINE | ID: mdl-30674677
ABSTRACT
Circulating tumor cells (CTCs) play a fundamental role in cancer progression. However, in mice, limited blood volume and the rarity of CTCs in the bloodstream preclude longitudinal, in-depth studies of these cells using existing liquid biopsy techniques. Here, we present an optofluidic system that continuously collects fluorescently labeled CTCs from a genetically engineered mouse model (GEMM) for several hours per day over multiple days or weeks. The system is based on a microfluidic cell sorting chip connected serially to an unanesthetized mouse via an implanted arteriovenous shunt. Pneumatically controlled microfluidic valves capture CTCs as they flow through the device, and CTC-depleted blood is returned back to the mouse via the shunt. To demonstrate the utility of our system, we profile CTCs isolated longitudinally from animals over 4 days of treatment with the BET inhibitor JQ1 using single-cell RNA sequencing (scRNA-Seq) and show that our approach eliminates potential biases driven by intermouse heterogeneity that can occur when CTCs are collected across different mice. The CTC isolation and sorting technology presented here provides a research tool to help reveal details of how CTCs evolve over time, allowing studies to credential changes in CTCs as biomarkers of drug response and facilitating future studies to understand the role of CTCs in metastasis.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Microfluidics / Microfluidic Analytical Techniques / Flow Cytometry / Neoplastic Cells, Circulating / Neoplasms Type of study: Prognostic_studies Limits: Animals Language: En Journal: Proc Natl Acad Sci U S A Year: 2019 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Microfluidics / Microfluidic Analytical Techniques / Flow Cytometry / Neoplastic Cells, Circulating / Neoplasms Type of study: Prognostic_studies Limits: Animals Language: En Journal: Proc Natl Acad Sci U S A Year: 2019 Document type: Article