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. We assembled an inflammatory panel of 191 targets that were multiplexed without cross-reactivity or impact on performance vs 1-plex signals, with sensitivities as low as 0.1pg/mL and measurements spanning 7 orders of magnitude. We then performed a large-scale secretome perturbation screen of peripheral blood mononuclear cells (PBMCs), with cytokines as both perturbagens and read-outs, measuring 7,392 samples and generating ~1.5M protein datapoints in under a week, a significant advance in throughput compared to other highly multiplexed immunoassays. We uncovered 447 significant cytokine responses, including multiple putatively novel ones, that were conserved across donors and stimulation conditions. We also validated the nELISA's use in phenotypic screening, and propose its application to drug discovery.

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. Droplets of a dextran solution containing antibodies were prespotted on a slide and snapped onto a preprocessed formalin-fixed, paraffin-embedded (FFPE) tissue section soaked in a polyethylene glycol solution. The antibodies are confined within the dextran droplets and locally stain the tissue below with a contrast similar to the one obtained by conventional IHC. The microarray of antibody droplets can be prespotted on a slide and stored, thus neither the preparation of the antibody solutions nor a sophisticated microarray spotter is needed. Sampling considerations with IHCµA were evaluated by taking three tissues with varying levels of cancer cells. A multiplex IHCµA with 180 spots targeting 8 cancer proteins was performed on a breast cancer tissue section to illustrate the potential of this method. This work opens the avenue of applying microarray technologies for conducting IHC on intact tissue slices and has great potential to be used in the discovery and validation of tissue biomarkers in human tumors.

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. A new nanocontact printing process was developed that circumvented the use of plasma activation that was found to alter the mechanical properties of the substrate. A dissolvable poly(vinyl alcohol) film was first patterned by lift-off nanocontact printing, and in turn printed onto the soft substrate, followed by dissolution of the film in water. An array of 100 unique digital nanodot gradients (DNGs), consisting of millions of 200 × 200 nm2 protein nanodots, was patterned in less than 5 min with with <5% average deviation from the original gradient design. DNGs of netrin-1, a known protein guidance cue, were patterned, and the unpatterned surface was backfilled with a reference surface consisting of 75% polyethylene glycol grafted with polylysine and 25% poly-d-lysine. Haptotaxis of C2C12 myoblasts demonstrated the functionality of the DNGs patterned on soft substrates. In addition, high densities of netrin-1 were observed to induce cell spreading, while live imaging of sinusoidal control gradients highlighted cell migration and navigation by "inching". The nanopatterning technique developed here paves the way for studying haptotactic responses to diverse digital nanodot patterns on surfaces covering the full range of physiological elasticity, and is expected to be applicable to the study of both culture and primary cells, such as neutrophils and neurons.

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. The algorithms generate continuous DNGs, with dot spacing changing in two dimensions along the gradient direction according to arbitrary mathematical functions, with densities ranging from 0.02% to 44.44%. The random gradient algorithm compensates for random nanodot overlap, and the randomness and spatial homogeneity of the DNGs were confirmed with Ripley's K function. An array of 100 DNGs, each 400×400 µm2, comprising a total of 57 million 200×200 nm2 dots was designed and patterned into silicon using electron-beam lithography, then patterned as fluorescently labeled IgGs on glass using lift-off nanocontact printing. DNGs will facilitate the study of the effects of noise and randomness at the micro- and nanoscales on cell migration and growth.