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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.

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.