Live Single-cell Analysis Research Articles

Uncoupling of mTORC1 from E2F activity maintains DNA damage and senescence

DNA damage is a primary trigger for cellular senescence, which in turn causes organismal aging and is a promising target of anti-aging therapies. Most DNA damage occurs when DNA is fragile during DNA replication in S phase, but senescent cells maintain DNA damage long-after DNA replication has stopped. How senescent cells induce DNA damage and why senescent cells fail to repair damaged DNA remain open questions. Here, we combine reversible expression of the senescence-inducing CDK4/6 inhibitory protein p16INK4 (p16) with live single-cell analysis and show that sustained mTORC1 signaling triggers senescence in non-proliferating cells by increasing transcriptional DNA damage and inflammation signaling that persists after p16 is degraded. Strikingly, we show that activation of E2F transcriptional program, which is regulated by CDK4/6 activity and promotes expression of DNA repair proteins, repairs transcriptionally damaged DNA without requiring DNA replication. Together, our study suggests that senescence can be maintained by ongoing mTORC1-induced transcriptional DNA damage that cannot be sufficiently repaired without induction of protective E2F target genes.

Analysis of Live Single Cells by Confocal Microscopy and High-Resolution Mass Spectrometry to Study Drug Uptake, Metabolism, and Drug-Induced Phospholipidosis.

The analysis of large numbers of cells from a population results in information that does not reflect differences in cell phenotypes. Individual variations in cellular drug uptake, metabolism, and response to drug treatment may have profound effects on cellular survival and lead to the development of certain disease states, drug persistence, and resistance. Herein, we present a method that combines live cell confocal microscopy imaging with high-resolution mass spectrometry to achieve absolute cell quantification of the drug amiodarone (AMIO) and its major metabolite, N-desethylamiodarone (NDEA), in single liver cells (HepG2 and HepaRG cells). The method uses a prototype system that integrates a confocal microscope with an XYZ stage robot to image and automatically sample selected cells from a sample compartment, which is kept under growth conditions, with nanospray tips. Besides obtaining the distributions of AMIO and NDEA cell concentrations across a population of individual cells, as well as variabilities in drug metabolism, the effect of these on phospholipidosis and cell morphology was studied. The method was suited to identify subpopulations of cells that metabolized less drug and to correlate cell drug concentrations with cell phospholipid content, cell volume, sphericity, and other cell phenotypic features. Using principal component analysis (PCA), the treated cells could be clearly distinguished from vehicle control cells (0 μM AMIO) and HepaRG cells from HepG2 cells. The potential of using multidimensional and multimodal information collected from single cells to build predictive models for cell classification is demonstrated.

Native State Single-Cell Printing System and Analysis for Matrix Effects.

Mass spectrometry is subject to matrix effects, which causes severe limitations on the analysis of live single cells in their native state. Here, we propose a three-phase droplet-based single-cell printing analysis system (TP-SCP), which can package, extract, separate, print, and analyze live single cells in saline matrixes (such as phosphate buffered saline) with matrix-assisted laser desorption/ionization mass spectrometry. This method can eliminate matrix effects to obtain information on a single cell in their native state. We report that a cell packaging percentage of 44% and single-cell packaging percentage of 88% can be achieved by TP-SCP. The system was capable of processing three to four single cells per second, which was 30 to 40 times higher than the traditional droplet-based microextraction (about 10 s/cell). Additionally, the MCF-7, A2780, 293, and 4T1 cells were screened in our system. The effect of cell viability and heterogeneity analysis was investigated, suggesting that the concentration of monounsaturated phosphatidylinositol and phosphatidylethanolamine both increase in cancer cells. Compared with conventional mass spectrometry, TP-SCP can ensure the accuracy of heterogeneity analysis of live single cells in their native state. Both a principal component analysis and a linear discriminant analysis were used to perform classification and identification of cells with an accuracy of 100%. This method provides an innovative framework for research on cell quality control, cell biology, cancer diagnosis, and prevention.

Live single cell analysis using synchrotron FTIR microspectroscopy: development of a simple dynamic flow system for prolonged sample viability.

Synchrotron radiation Fourier transform infrared microspectroscopy (SR-microFTIR) of live biological cells has the potential to provide far greater biochemical and morphological detail than equivalent studies using dehydrated, chemically-fixed single cells. Attempts to measure live cells using microFTIR are complicated by the aqueous environment required and corresponding strong infrared absorbance by water. There is also the additional problem of the limited lifetime of the cells outside of their preferred culture environment. In this work, we outline simple, cost-effective modifications to a commercially available liquid sample holder to perform single live cell analysis under an IR microscope and demonstrate cell viability up to at least 24 hours. A study using this system in which live cells have been measured at increasing temperature has shown spectral changes in protein bands attributed to α-β transition, consistent with other published work, and proves the ability to simultaneously induce and measure biochemical changes. An additional study of deuterated palmitic acid (D31-PA) uptake at different timepoints has made use of over 200 individual IR spectra collected over ∼4 hours, taking advantage of the ability to maintain viable cell samples for longer periods of time in the measurement environment, and therefore acquire greatly increased numbers of spectra without compromising on spectral quality. Further developments of this system are planned to widen the range of possible experiments, and incorporate more complex studies, including drug-cell interaction.

Using Dicationic Ion-Pairing Compounds To Enhance the Single Cell Mass Spectrometry Analysis Using the Single-Probe: A Microscale Sampling and Ionization Device.

A unique mass spectrometry (MS) method has been developed to determine the negatively charged species in live single cells using the positive ionization mode. The method utilizes dicationic ion-pairing compounds through the miniaturized multifunctional device, the single-probe, for reactive MS analysis of live single cells under ambient conditions. In this study, two dicationic reagents, 1,5-pentanediyl-bis(1-butylpyrrolidinium) difluoride (C5(bpyr)2F2) and 1,3-propanediyl-bis(tripropylphosphonium) difluoride (C3(triprp)2F2), were added in the solvent and introduced into single cells to extract cellular contents for real-time MS analysis. The negatively charged (1- charged) cell metabolites, which form stable ion-pairs (1+ charged) with dicationic compounds (2+ charged), were detected in positive ionization mode with a greatly improved sensitivity. We have tentatively assigned 192 and 70 negatively charged common metabolites as adducts with (C5(bpyr)2F2) and (C3(triprp)2F2), respectively, in three separate SCMS experiments in the positive ion mode. The total number of tentatively assigned metabolites is 285 for C5(bpyr)2F2 and 143 for C3(triprp)2F2. In addition, the selectivity of dicationic compounds in the complex formation allows for the discrimination of overlapped ion peaks with low abundances. Tandem (MS/MS) analyses at the single cell level were conducted for selected adduct ions for molecular identification. The utilization of the dicationic compounds in the single-probe MS technique provides an effective approach to the detection of a broad range of metabolites at the single cell level.

In situ metabolic analysis of single plant cells by capillary microsampling and electrospray ionization mass spectrometry with ion mobility separation.

Advances in single cell analysis techniques have demonstrated cell-to-cell variability in both homogeneous and heterogeneous cell populations strengthening our understanding of multicellular organisms and individual cell behaviour. However, additional tools are needed for non-targeted metabolic analysis of live single cells in their native environment. Here, we combine capillary microsampling with electrospray ionization (ESI) mass spectrometry (MS) and ion mobility separation (IMS) for the analysis of various single A. thaliana epidermal cell types, including pavement and basal cells, and trichomes. To achieve microsampling of different cell types with distinct morphology, custom-tailored microcapillaries were used to extract the cell contents. To eliminate the isobaric interferences and enhance the ion coverage in single cell analysis, a rapid separation technique, IMS, was introduced that retained ions based on their collision cross sections. For each cell type, the extracted cell material was directly electrosprayed resulting in ∼200 peaks in ESI-MS and ∼400 different ions in ESI-IMS-MS, the latter representing a significantly enhanced coverage. Based on their accurate masses and tandem MS, 23 metabolites and lipids were tentatively identified. Our results indicated that profound metabolic differences existed between the trichome and the other two cell types but differences between pavement and basal cells were hard to discern. The spectra indicated that in all three A. thaliana cell types the phenylpropanoid metabolism pathway had high coverage. In addition, metabolites from the subpathway, sinapic acid ester biosynthesis, were more abundant in single pavement and basal cells, whereas compounds from the kaempferol glycoside biosynthesis pathway were present at significantly higher level in trichomes. Our results demonstrate that capillary microsampling coupled with ESI-IMS-MS captures metabolic differences between A. thaliana epidermal cell types, paving the way for the non-targeted analysis of single plant cells and subcellular compartments.

A convenient, optimized pipeline for isolation, fluorescence microscopy and molecular analysis of live single cells.

BackgroundHeterogeneity within cell populations is relevant to the onset and progression of disease, as well as development and maintenance of homeostasis. Analysis and understanding of the roles of heterogeneity in biological systems require methods and technologies that are capable of single cell resolution. Single cell gene expression analysis by RT-qPCR is an established technique for identifying transcriptomic heterogeneity in cellular populations, but it generally requires specialized equipment or tedious manipulations for cell isolation.ResultsWe describe the optimization of a simple, inexpensive and rapid pipeline which includes isolation and culture of live single cells as well as fluorescence microscopy and gene expression analysis of the same single cells by RT-qPCR. We characterize the efficiency of single cell isolation and demonstrate our method by identifying single GFP-expressing cells from a mixed population of GFP-positive and negative cells by correlating fluorescence microscopy and RT-qPCR.ConclusionsSingle cell gene expression analysis by RT-qPCR is a convenient means for investigating cellular heterogeneity, but is most useful when correlating observations with additional measurements. We demonstrate a convenient and simple pipeline for multiplexing single cell RT-qPCR with fluorescence microscopy which is adaptable to other molecular analyses.