nELISA: A high-throughput, high-plex platform enables quantitative profiling of the secretome.

We present the nELISA, a high-throughput, high-fidelity, and high-plex protein profiling platform. DNA oligonucleotides are used to pre-assemble antibody pairs on spectrally encoded microparticles and perform displacement-mediated detection. Spatial separation between non-cognate antibodies prevents the rise of reagent-driven cross-reactivity, while read-out is performed cost-efficiently and at high-throughput using flow cytometry.

Immunohistochemistry Microarrays.

Immunohistochemistry (IHC) on tissue sections is widely used for quantifying the expression patterns of proteins and is part of the standard of care for cancer diagnosis and prognosis, but is limited to staining a single protein per tissue. Tissue microarray and microfluidics staining methods have emerged as powerful high throughput techniques, but they either only permit the analysis of a single protein per slide or require complex instrumentation and expertise while only staining isolated areas. Here, we introduce IHC microarrays (IHCμA) for multiplexed staining of intact tissues with preserved histological and spatial information.

Nanocontact Printing of Proteins on Physiologically Soft Substrates to Study Cell Haptotaxis.

Surface bound guidance cues and gradients are vital for directing cellular processes during development and repair. In vivo, these cues are often presented within a soft extracellular matrix with elastic moduli E < 10 kPa, but in vitro haptotaxis experiments have been conducted primarily on hard substrates with elastic moduli in the MPa to GPa range. Here, a technique is presented for patterning haptotactic proteins with nanometer resolution on soft substrates with physiological elasticity.

Ordered, random, monotonic and non-monotonic digital nanodot gradients.

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.