Linking single-cell measurements of mass, growth rate, and gene expression
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 se...
मुख्य लेखकों: | , , , , , , , , , , , , |
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अन्य लेखक: | |
स्वरूप: | लेख |
भाषा: | English |
प्रकाशित: |
BioMed Central
2018
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ऑनलाइन पहुंच: | http://hdl.handle.net/1721.1/119409 https://orcid.org/0000-0001-9939-764X https://orcid.org/0000-0002-5621-8768 https://orcid.org/0000-0002-8541-0919 https://orcid.org/0000-0002-5702-8667 https://orcid.org/0000-0002-6417-1007 https://orcid.org/0000-0001-5277-6060 https://orcid.org/0000-0001-5670-8778 https://orcid.org/0000-0001-5223-9433 |
सारांश: | 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. Keywords: Single-cell RNA-Seq, Mass, Growth, Serial suspended microchannel resonator, Multi-omics, Single cell, T cell activation, Glioblastoma, GBM, Drug response, Microfluidics, Biophysical properties |
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