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...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों: Pelton, Kristine, De Smet, Frederik, Ligon, Keith L., Kimmerling, Robert John, Prakadan, Sanjay, Gupta, Alejandro J., Calistri, Nicholas L, Stevens, Mark M., Olcum, Selim A., Cermak, Nathan, Drake, Riley, Shalek, Alexander K, Manalis, Scott R
अन्य लेखक: Massachusetts Institute of Technology. Institute for Medical Engineering & Science
स्वरूप: लेख
भाषा:English
प्रकाशित: BioMed Central 2018
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
विवरण
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