Unknown

Dataset Information

0

Label-Free Metabolic Classification of Single Cells in Droplets Using the Phasor Approach to Fluorescence Lifetime Imaging Microscopy.


ABSTRACT: Characterization of single cell metabolism is imperative for understanding subcellular functional and biochemical changes associated with healthy tissue development and the progression of numerous diseases. However, single-cell analysis often requires the use of fluorescent tags and cell lysis followed by genomic profiling to identify the cellular heterogeneity. Identifying individual cells in a noninvasive and label-free manner is crucial for the detection of energy metabolism which will discriminate cell types and most importantly critical for maintaining cell viability for further analysis. Here, we have developed a robust assay using the droplet microfluidic technology together with the phasor approach to fluorescence lifetime imaging microscopy to study cell heterogeneity within and among the leukemia cell lines (K-562 and Jurkat). We have extended these techniques to characterize metabolic differences between proliferating and quiescent cells-a critical step toward label-free single cancer cell dormancy research. The result suggests a droplet-based noninvasive and label-free method to distinguish individual cells based on their metabolic states, which could be used as an upstream phenotypic platform to correlate with genomic statistics. © 2018 International Society for Advancement of Cytometry.

SUBMITTER: Ma N 

PROVIDER: S-EPMC6613543 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

Label-Free Metabolic Classification of Single Cells in Droplets Using the Phasor Approach to Fluorescence Lifetime Imaging Microscopy.

Ma Ning N   Kamalakshakurup Gopakumar G   Aghaamoo Mohammad M   Lee Abraham P AP   Digman Michelle A MA  

Cytometry. Part A : the journal of the International Society for Analytical Cytology 20181211 1


Characterization of single cell metabolism is imperative for understanding subcellular functional and biochemical changes associated with healthy tissue development and the progression of numerous diseases. However, single-cell analysis often requires the use of fluorescent tags and cell lysis followed by genomic profiling to identify the cellular heterogeneity. Identifying individual cells in a noninvasive and label-free manner is crucial for the detection of energy metabolism which will discri  ...[more]

Similar Datasets

| S-EPMC6744410 | biostudies-literature
| S-EPMC8668934 | biostudies-literature
| S-EPMC6887798 | biostudies-literature
| S-EPMC3416911 | biostudies-literature
| S-EPMC8892511 | biostudies-literature
| S-EPMC3523109 | biostudies-literature
| S-EPMC8181388 | biostudies-literature
| S-EPMC5473825 | biostudies-literature
| S-EPMC5473685 | biostudies-literature
| S-EPMC3158156 | biostudies-literature