Protein microarray spots are modulated by patterning method, surface chemistry and processing conditions.

The uniformity of the protein patterns, their shape, and the contrast between the fluorescence signal of the pattern and the background, critically modulate the quantitative accuracy of the microarray-derived data. While significant research focused of the identification of the factors that impact the protein microarray patterns, these studies usually have focused on the optimization of one set of these factors, e.g., how the spot uniformity is affected by different additives, or by different surfaces. However, the complex interaction between proteins, carrier fluids, surfaces, and patterning methodologies used would suggest a systematic and more comprehensive study that considers all these parameters, as well as their inter-relationship. The present work compared the patterning of two fluorescently-tagged proteins, i.e., IgG, BSA, on surfaces with different hydrophobicity and chemistry, and printed by inkjet, pin, and microcontact printing (µCP). The quantification of the spot size regularity, its morphology, the signal intensity and its distribution within spots were used to assess the quality of a specific printing method, on a specific surface, with a specific solute of the printed protein. It was found that the optimal uniformity for both droplet-based methods depend on surface chemistry, with glass slides modified with 3-Glycidoxypropyl-dimethoxymethyl silane (GPS) and 3-(Aminopropyl)-triethoxy silane (APTES) exhibiting the greatest uniformity, while uniformity of the µCP patterns was relatively independent of the surface chemistry. For the inkjet and pin printing, the largest fluorescence signal and contrast with the background was found on APTES modified glass slides, whereas for the µCP the fluorescence signal increased with increasing hydrophilicity.

Brainhack: a collaborative workshop for the open neuroscience community.

Brainhack events offer a novel workshop format with participant-generated content that caters to the rapidly growing open neuroscience community. Including components from hackathons and unconferences, as well as parallel educational sessions, Brainhack fosters novel collaborations around the interests of its attendees. Here we provide an overview of its structure, past events, and example projects. Additionally, we outline current innovations such as regional events and post-conference publications. Through introducing Brainhack to the wider neuroscience community, we hope to provide a unique conference format that promotes the features of collaborative, open science.