Gene Regulation at the Single-Cell Level

By N. Rosenfeld, Jonathan W. Young, Uri Alon, Peter S. Swain, Michael B. Elowitz. Science, 2005

1,143 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/14e0a2e491bdffee8972ba6d378a838b1e88ef65

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Citations in the corpus

Genetic circuit design automation (2016, positive): “Third, circuitsaredefinedbymanystates(theirresponsetodifferentinputsorhowtheychangeovertime), andthiscanbecumbersometocharacterize( 15 , 47 – 49 ).”
MicroRNA-mediated feedback and feedforward loops are recurrent network motifs in mammals. (2007, background): “Importantly, such fluctuations can propagate through the network, e.g., fluctuations in the level of an upstream transcription factor can contribute significantly to expression fluctuations of downstream genes (Pedraza and van Oudenaarden, 2005; Rosenfeld et al., 2005).”
Neuronal homeostasis: time for a change? (2011, background): “Therefore, an important line of investigation – and one which has progressed recently in systems biology (Pedraza & van Oudenaarden, 2005; Rosenfeld et al. 2005) – consists of assessing the levels of noise that regulatory signals are subjected to.”
Stochastic gene expression and its consequences (2008, background): “They did this using multiple fluorescent reporters to quantify the relative contributions of variability in the upstream gene, global noise due to effects such as cell size, and also noise intrinsic to the expression of the downstream gene (Pedraza and van Oudenaarden, 2005; Rosenfeld et al., 2005).”
Engineering BioBrick vectors from BioBrick parts (2008, background): “For example, individual parts or combinations of parts that encode defined functions (devices) can be independently tested and characterized in order to improve the likelihood that higher-order systems constructed from such devices work as intended (Canton, Labno, and Endy, submitted) [2,3].”
The second wave of synthetic biology: from modules to systems (2009, background): “Given the extent of genetic noise in biological systems, is it reasonable to expect that we can construct reliable, robust and predictable systems? Noise originates from many sources, including extrinsic environmental variations, fluctuations in gene expression, cell cycle variations, differences in”
Phenotypic consequences of promoter-mediated transcriptional noise. (2006, background): “…2005), the remodeling of chromatin (Blake et al., 2003; Raser and O'Shea, 2004; Sato et al., 2004), the partitioning of proteins at cell division (Rosenfeld et al., 2005; Golding et al., 2005), and other, more general, factors affecting such processes across many genes within a single cell…”
Robust multicellular computing using genetically encoded NOR gates and chemical ‘wires’ (2010, background): “The use of chemical signals and population averaging could represent a common design rule for achieving computational operations robust enough to overcome the stochastic limitations of layered circuits in individual cells 24,25 .”
The Standard European Vector Architecture (SEVA): a coherent platform for the analysis and deployment of complex prokaryotic phenotypes (2012, background): “Because fluorescence is not diffusible, these reporters provide extraordinary detail, such as stochasticity, phenotypic variation and transcriptional noise, on gene expression at the single-cell level (68,69).”
Multilayer Analysis and Visualization of Networks (2014, background): “This has led to signiﬁcant improvements in scientiﬁc understanding of numerous phenomena — including genetic and metabolic processes [7–9, 11, 22–26], neuronal connectivity of living beings [27–36], and more.”