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Linking single-cell measurements of mass, growth rate, and gene expression.
Kimmerling, Robert J; Prakadan, Sanjay M; Gupta, Alejandro J; Calistri, Nicholas L; Stevens, Mark M; Olcum, Selim; Cermak, Nathan; Drake, Riley S; Pelton, Kristine; De Smet, Frederik; Ligon, Keith L; Shalek, Alex K; Manalis, Scott R.
Affiliation
  • Kimmerling RJ; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
  • Prakadan SM; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
  • Gupta AJ; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
  • Calistri NL; Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard, Cambridge, MA, 02139, USA.
  • Stevens MM; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
  • Olcum S; Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
  • Cermak N; Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
  • Drake RS; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
  • Pelton K; Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard, Cambridge, MA, 02139, USA.
  • De Smet F; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
  • Ligon KL; Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
  • Shalek AK; Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
  • Manalis SR; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Genome Biol ; 19(1): 207, 2018 11 27.
Article in En | MEDLINE | ID: mdl-30482222
ABSTRACT
Mass and growth rate are highly integrative measures of cell physiology not discernable via genomic measurements. Here, we introduce a microfluidic platform enabling direct measurement of single-cell mass and growth rate upstream of highly multiplexed single-cell profiling such as single-cell RNA sequencing. We resolve transcriptional signatures associated with single-cell mass and growth rate in L1210 and FL5.12 cell lines and activated CD8+ T cells. Further, we demonstrate a framework using these linked measurements to characterize biophysical heterogeneity in a patient-derived glioblastoma cell line with and without drug treatment. Our results highlight the value of coupled phenotypic metrics in guiding single-cell genomics.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genomics / Microfluidic Analytical Techniques / Cell Enlargement / Single-Cell Analysis Type of study: Evaluation_studies Limits: Animals / Humans Language: En Journal: Genome Biol Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2018 Document type: Article Affiliation country:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genomics / Microfluidic Analytical Techniques / Cell Enlargement / Single-Cell Analysis Type of study: Evaluation_studies Limits: Animals / Humans Language: En Journal: Genome Biol Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2018 Document type: Article Affiliation country: