2014
DOI: 10.1371/journal.pone.0106541
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Ordered, Random, Monotonic and Non-Monotonic Digital Nanodot Gradients

Abstract: Cell navigation is directed by inhomogeneous distributions of extracellular cues. It is well known that noise plays a key role in biology and is present in naturally occurring gradients at the micro- and nanoscale, yet it has not been studied with gradients in vitro. Here, we introduce novel algorithms to produce ordered and random gradients of discrete nanodots – called digital nanodot gradients (DNGs) – according to monotonic and non-monotonic density functions. The algorithms generate continuous DNGs, with … Show more

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Cited by 4 publications
(9 citation statements)
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“…A variation of this printing process was used to pattern digital nanodot gradients (DNGs) of surface bound proteins. DNGs are gradients made up of discrete 200 × 200 nm 2 protein dots, spaced according to algorithmically generated density functions that can mimic biological noise by superimposing sinusoidal waves, as well as randomizing the position of individual nanodots . DNGs were previously used to investigate C2C12 myoblast migration on gradients of netrin-1 …”
Section: Introductionmentioning
confidence: 99%
“…A variation of this printing process was used to pattern digital nanodot gradients (DNGs) of surface bound proteins. DNGs are gradients made up of discrete 200 × 200 nm 2 protein dots, spaced according to algorithmically generated density functions that can mimic biological noise by superimposing sinusoidal waves, as well as randomizing the position of individual nanodots . DNGs were previously used to investigate C2C12 myoblast migration on gradients of netrin-1 …”
Section: Introductionmentioning
confidence: 99%
“…We conclude that for the range studied, cell haptotaxis decisions are dictated by the overall protein surface concentrations experienced by the entire cell. The ultimate limit for nanodot size is single-protein nanodots, and further experiments are needed to determine whether for a fixed protein density, there is a threshold for cell response based on a minimal size, or whether nanodot order and distribution could have an effect 28 , 29 . Quantitative molecular data from nanodot arrays could be obtained using live cell microscopy, which could be used to quantify focal adhesion size across the different nanodot sizes along with cell migration velocities and thus contribute to unraveling the relationship between nanodot size and focal adhesion formation.…”
Section: Discussionmentioning
confidence: 99%
“…Our group introduced low-cost digital nanodot gradients (DNGs) to study cell migration 27 and designed a set of 100 DNGs formed of 200 × 200 nm 2 nanodots. DNGs with ordered and random nanodot distributions, with different ranges of linear and exponential slopes, and with different noise patterns were designed with a large dynamic range of up to 3.86 orders of magnitude 27 , 28 . These DNGs reflect the noncontinuity and large dynamic range characteristic of in vivo gradients 11 and were used in cell migration studies 29 .…”
Section: Introductionmentioning
confidence: 99%
“…Using these new designs, the gradients reached an unprecedented dynamic range of 3.85 OM (Ongo et al, 2014 ), which could more accurately represent the expected dynamic range of gradients in vivo . More complex algorithms were also developed to introduce noise into the gradients at the nanoscale by pseudo-randomly distributing dots within a row of constant density and compensating for dot overlap based on the probability of overlap at the given density.…”
Section: Methods To Create Substrate-bound Protein Gradientsmentioning
confidence: 99%