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Summary Cells receive time-varying signals from the environment and generate functional responses by secreting their own signaling molecules. Characterizing dynamic input-output relationships in single cells is crucial for understanding and modeling cellular systems. We developed an automated microfluidic system that delivers precisely defined dynamical inputs to individual living cells and simultaneously measures key immune parameters dynamically. Our system combines nanoliter immunoassays, microfluidic input generation, and time-lapse microscopy, enabling study of previously untestable aspects of immunity by measuring time-dependent cytokine secretion and transcription factor activity from single cells stimulated with dynamic inflammatory inputs. Employing this system to analyze macrophage signal processing under pathogen inputs, we found that the dynamics of TNF secretion are highly heterogeneous and surprisingly uncorrelated with the dynamics of NF-κB, the transcription factor controlling TNF production. Computational modeling of the LPS/TLR4 pathway shows that post-transcriptional regulation by TRIF is a key determinant of noisy and uncorrelated TNF secretion dynamics in single macrophages., Graphical Abstract, Highlights • Dynamic stimulation of single immune cells with a versatile microfluidic device • Coupled longitudinal measurements of NF-κB localization and TNF secretion on the same cell • Single-cell harvesting, staining, and mRNA quantification on the same device • High-content dataset, and modeling of TRIF-based noise in TNF secretion, Junkin et al. have developed a method to quantitatively probe single-cell input-output dynamics with an automated microfluidic system. They conduct coupled measurements of transcription factor and cytokine secretion dynamics from the same single cells to enable modeling, which uncovers dynamic and noise-based roles of TRIF in the NF-κB-TNF pathway.

Dynamical analysis of single-cells allows assessment of the extent and role of cell-to-cell variability, however traditional dish-and-pipette techniques have hindered single-cell analysis in quantitative biology. We developed an automated microfluidic cell culture system that generates stable diffusion-based chemokine gradients, where cells can be placed in predetermined positions, monitored via single-cell time-lapse microscopy, and subsequently be retrieved based on their migration speed and directionality for further off-chip gene expression analysis, constituting a powerful platform for multiparameter quantitative studies of single-cell chemotaxis. Using this system we studied CXCL12-directed migration of individual human primary T cells. Spatiotemporally deterministic retrieval of T cell subsets in relation to their migration speed, and subsequent analysis with microfluidic droplet digital-PCR showed that the expression level of CXCR4 – the receptor of CXCL12 – underlies enhanced human T cell chemotaxis.

We describe a new cell-free protein synthesis (CFPS) method for site-specific incorporation of non-natural amino acids (nnAAs) into proteins in which the orthogonal tRNA (o-tRNA) and the modified protein (i.e. the protein containing the nnAA) are produced simultaneously. Using this method, 0.9-1.7 mg/ml of modified soluble super-folder green fluorescent protein (sfGFP) containing either p-azido-l-phenylalanine (pAzF) or p-propargyloxy-l-phenylalanine (pPaF) accumulated in the CFPS solutions; these yields correspond to 50-88% suppression efficiency. The o-tRNA can be transcribed either from a linearized plasmid or from a crude PCR product. Comparison of two different o-tRNAs suggests that the new platform is not limited by Ef-Tu recognition of the acylated o-tRNA at sufficiently high o-tRNA template concentrations. Analysis of nnAA incorporation across 12 different sites in sfGFP suggests that modified protein yields and suppression efficiencies (i.e. the position effect) do not correlate with any of the reported trends. Sites that were ineffectively suppressed with the original o-tRNA were better suppressed with an optimized o-tRNA (o-tRNA(opt)) that was evolved to be better recognized by Ef-Tu. This new platform can also be used to screen scissile ribozymes for improved catalysis.

Even though the orthogonal tRNA and aminoacyl-tRNA synthetase pairs derived from the archaeon Methanocaldococcus jannaschii have been used for many years for site-specific incorporation of non-natural amino acids (nnAAs) in Escherichia coli, their kinetic parameters have not been evaluated. Here we use a cell-free protein synthesis (CFPS) system to control the concentrations of the orthogonal components in order to evaluate their performance while supporting synthesis of modified proteins (i.e. proteins with nnAAs). Titration experiments and estimates of turnover numbers suggest that the orthogonal synthetase is a very slow catalyst when compared to the native E. coli synthetases. The estimated kat for the orthogonal synthetase specific to the nnAA p-propargyloxyphenylalanine (pPaF) is 5.4 x 10(-5) s(-1). Thus, this catalyst may be the limiting factor for nnAA incorporation when using this approach. These titration experiments also resulted in the highest reported cell-free accumulation of two different modified proteins (450 +/- 20 mu g/ml CAT109pAzF and 428 +/- 2 mu g/ml sfGFP23pPaF) using the standard KC6 cell extract and either the PANOx SP or the inexpensive Glu NMP cell-free recipe. (C) 2012 Elsevier Inc. All rights reserved.

Absolute quantification of macromolecules in single cells is critical for understanding and modeling biological systems that feature cellular heterogeneity. Here we show extremely sensitive and absolute quantification of both proteins and mRNA in single mammalian cells by a very practical workflow that combines proximity ligation assay (PLA) and digital PCR. This digital PLA method has femtomolar sensitivity, which enables the quantification of very small protein concentration changes over its entire 3-log dynamic range, a quality necessary for accounting for single-cell heterogeneity. We counted both endogenous (CD147) and exogenously expressed (GFP-p65) proteins from hundreds of single cells and determined the correlation between CD147 mRNA and the protein it encodes. Using our data, a stochastic two-state model of the central dogma was constructed and verified using joint mRNA/protein distributions, allowing us to estimate transcription burst sizes and extrinsic noise strength and calculate the transcription and translation rate constants in single mammalian cells.

Immune cells mount their biological response and protect the host from pathogens by secreting bioactive molecules, communicating with other cells directly or via secreted agents, and migrating under flow or chemotactic gradients. This article summarizes recent advances in microfluidic technology and highlights examples of microtools used in studying the mentioned aspects of the immune response (i.e., secretion, migration, and intercellular communication) on a single-cell level. The article finally discusses the integration of microtools in medical applications and in studying immune signaling pathways.

The binding of protein transduction domain (PTD)-conjugated proteins to heparan sulfate is an important step in cellular internalization of macromolecules. Here, we studied the pluripotency transcription factor Sox2, with or without the nonaarginine (R9) PTD. Unexpectedly, we observed that Sox2 is strongly adsorbed by heparin and by the fibroblasts without the R9 PTD. However, only the R9Sox2 fusion protein is internalized by the cells. These results collectively show that binding to heparan sulfate is not sufficient for cellular uptake, thereby supporting a recent hypothesis that other proteins play a role in cell internalization of PTD-conjugated proteins. (C) 2012 Elsevier Inc. All rights reserved.