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\"A usable method for learning from failure Everyone is talking about failure these days. It's ok to fail-it's how you learn. But how exactly do you take failure's lessons and roll them into future success? Until now, there was no repeatable method for doing so. In this book, Anjali Sastry (MIT) and Kara Penn (Mission Spark) provide the missing link: a feedback loop that teaches us how to learn from our mistakes. The step-by-step process they suggest is easy, usable, and repeatable. The authors teach us how to adopt the process and guide us to putting it in place. The book is filled with stories of organizations and teams that have used the method, and includes a practically-oriented \"how to\" section to help teams move on from failure, as well as key findings drawn from relevant literature on learning, innovation, and psychology that underpin this approach. For anyone-innovators, engineers, managers, change-makers, and executives-who isn't afraid to fail, this book will help you pick up the pieces and apply them to future successes. \"-- Provided by publisher.

New poetry by Kara Penn.# Leda's Daughter# Becoming Tree# Starfish# Into the Hands of a God# Shoveling the Drive# From the Frontage Road

At least 120 non-olfactory G-protein-coupled receptors in the human genome are ‘orphans’ for which endogenous ligands are unknown, and many have no selective ligands, hindering the determination of their biological functions and clinical relevance. Among these is GPR68, a proton receptor that lacks small molecule modulators for probing its biology. Using yeast-based screens against GPR68, here we identify the benzodiazepine drug lorazepam as a non-selective GPR68 positive allosteric modulator. More than 3,000 GPR68 homology models were refined to recognize lorazepam in a putative allosteric site. Docking 3.1 million molecules predicted new GPR68 modulators, many of which were confirmed in functional assays. One potent GPR68 modulator, ogerin, suppressed recall in fear conditioning in wild-type but not in GPR68-knockout mice. The same approach led to the discovery of allosteric agonists and negative allosteric modulators for GPR65. Combining physical and structure-based screening may be broadly useful for ligand discovery for understudied and orphan GPCRs. Yeast-based screening identifies the benzodiazepine drug lorazepam as a non-selective positive allosteric modulator of the G-protein-coupled receptor (GPCR) GPR68; homology modelling and molecular docking of 3.1 million molecules found a new compound, ‘ogerin’, as a potent GPR68 modulator, which suppressed recall in fear conditioning in wild-type mice, and the general method of combining physical and structure-based screening may lead to the discovery of selective ligands for other GPCRs. Finding ligands for GPCR orphans At least 120 non-olfactory G-protein-coupled receptors (GPCRs) in the human genome are 'orphans', meaning that their endogenous ligands are not known. Bryan Roth and colleagues use yeast-based screening to identify the benzodiazepine drug lorazepam as a non-selective positive allosteric modulator of GPR68, a proton receptor with no known small-molecule modulators. Homology modelling and molecular docking of 3.1 million molecules identified a new compound 'ogerin', as a potent GPR68 modulator. Ogerin suppressed recall in fear conditioning in wild-type mice. The procedures used in this work, combining physical and structure-based screening, may serve as a general method for identifying selective ligands for other GPCRs.

In vitro models of the human central nervous system (CNS), particularly those derived from induced pluripotent stem cells (iPSCs), are becoming increasingly recognized as useful complements to animal models for studying neurological diseases and developing therapeutic strategies. However, current 3D CNS models suffer from deficits that limit their research utility. Notably, it remains difficult to drive iPSC-derived neurons to a mature and synaptically connected state. Moreover, the most common extracellular matrices (ECMs) used to fabricate 3D CNS models are either difficult to pattern into complex structures due to their mechanical properties or lack appropriate bioinstructive cues. Here, we describe the functionalization of gelatin methacrylate (GelMA) with an N-cadherin extracellular peptide epitope to create a biomaterial termed GelMA-Cad. After photopolymerization, GelMA-Cad forms soft hydrogels that can maintain patterned architectures. The N-cadherin functionality promotes survival and maturation of iPSC-derived glutamatergic neurons into synaptically connected networks as determined by viral tracing and electrophysiology. Immunostaining reveals a pronounced increase in presynaptic and postsynaptic marker expression in GelMA-Cad relative to Matrigel, as well as extensive co-localization of these markers, thus highlighting the biological activity of the N-cadherin peptide. Overall, given its ability to enhance iPSC-derived neuron maturity and connectivity, GelMA-Cad should be broadly useful for in vitro studies of neural circuitry in health and disease.

Neurons are frequently classified into distinct groups or cell types on the basis of structural, physiological, or genetic attributes. To better constrain the definition of neuronal cell types, we characterized the transcriptomes and intrinsic physiological properties of over 3,700 GABAergic mouse visual cortical neurons and reconstructed the local morphologies of 350 of those neurons. We found that most transcriptomic types (t-types) occupy specific laminar positions within mouse visual cortex, and many of those t-types exhibit consistent electrophysiological and morphological features. We observed that these properties could vary continuously between t-types, which limited the ability to predict specific t-types from other data modalities. Despite that, the data support the presence of at least 20 interneuron met-types that have congruent morphological, electrophysiological, and transcriptomic properties.