Alison O’Neil

Generalized nucleus segmentation techniques can contribute greatly to reducing the time to develop and validate visual biomarkers for new digital pathology datasets. We summarize the results of MoNuSeg 2018 Challenge whose objective was to develop generalizable nuclei segmentation techniques in digital pathology. The challenge was an official satellite event of the MICCAI 2018 conference in which 32 teams with more than 80 participants from geographically diverse institutes participated. Contestants were given a training set with 30 images from seven organs with annotations of 21,623 individual nuclei. A test dataset with 14 images taken from seven organs, including two organs that did not appear in the training set was released without annotations. Entries were evaluated based on average aggregated Jaccard index (AJI) on the test set to prioritize accurate instance segmentation as opposed to mere semantic segmentation. More than half the teams that completed the challenge outperformed a previous baseline. Among the trends observed that contributed to increased accuracy were the use of color normalization as well as heavy data augmentation. Additionally, fully convolutional networks inspired by variants of U-Net, FCN, and Mask-RCNN were popularly used, typically based on ResNet or VGG base architectures. Watershed segmentation on predicted semantic segmentation maps was a popular post-processing strategy. Several of the top techniques compared favorably to an individual human annotator and can be used with confidence for nuclear morphometrics.

Packed and ready to go: A scaffold protein (SP) aids the assembly of Salmonella typhimuriam bacteriophage P22 into a capsid, with encapsulation of the SP. This natural process was exploited by using an engineered molecular system to fuse a fluorescent protein cargo (green in the picture) to a portion of the SP (yellow), which templated accurate spontaneous assembly. Heating of the capsids and treatment with thrombin released the SP but not the cargo.

Variations in a multitude of material microenvironmental properties have been observed across tissues in vivo, and these have profound effects on cell phenotype. Phenomenological experiments have suggested that certain of these features of the physical microenvironment, such as stiffness, could sensitize cells to other features; meanwhile, mechanistic studies have detailed a number of biophysical mechanisms for this sensing. However, the broad molecular consequences of these potentially complex and nonlinear interactions bridging from biophysical sensing to phenotype have not been systematically characterized, limiting the overall understanding and rational deployment of these biophysical cues. Here, we explore these interactions by employing a 3D cell culture system that allows for the independent control of culture substrate stiffness, stress relaxation, and adhesion ligand density to systematically explore the transcriptional programs affected by distinct combinations of biophysical parameters using RNA-seq. In mouse mesenchymal stem cells and human cortical neuron progenitors, we find dramatic coupling among these substrate properties, and that the relative contribution of each property to changes in gene expression varies with cell type. Motivated by the bioinformatic analysis, the stiffness of hydrogels encapsulating mouse mesenchymal stem cells was found to regulate the secretion of a wide range of cytokines, and to accordingly influence hematopoietic stem cell differentiation in a Transwell coculture model. These results give insights into how biophysical features are integrated by cells across distinct tissues and offer strategies to synthetic biologists and bioengineers for designing responses to a cell's biophysical environment.

Viral capsids are dynamic macromolecular machines which self-assemble and undergo concerted conformational changes during their life cycle. We have taken advantage of the inherent structural flexibility of viral capsids and generated two morphologically different types of viral nanoplatforms from the bacteriophage P22 capsids. Their interior surfaces were genetically manipulated for site-specific attachment of a biotin linker. The extent of internal modifications in each capsid form was characterized by high-resolution mass spectrometry and the analyses revealed that the reactivity of the genetically introduced residues located on the internal surface changes according to the structural transformation of the capsid. Internally modified capsids having 10 nm diameter pores at the 12 icosahedral vertices, so-called wiffle-balls (WB), exhibited the capability to entrap the large tetrameric protein complex streptavidin via the biotin linker anchored onto the interior surface of the WB.