Synapse formation analyses can be performed by imaging and quantifying fluorescent signals of synaptic markers. Traditionally, these analyses are done using simple or multiple thresholding and segmentation approaches or by labor-intensive manual analysis by a human observer. Here, we describe Intellicount, a high-throughput, fully-automated synapse quantification program which applies a novel machine learning (ML)-based image processing algorithm to systematically improve region of interest (ROI) identification over simple thresholding techniques. Through processing large datasets from both human and mouse neurons, we demonstrate that this approach allows image processing to proceed independently of carefully set thresholds, thus reducing the need for human intervention. As a result, this method can efficiently and accurately process large image datasets with minimal interaction by the experimenter, making it less prone to bias and less liable to human error. Furthermore, Intellicount is integrated into an intuitive graphical user interface (GUI) that provides a set of valuable features, including automated and multifunctional figure generation, routine statistical analyses, and the ability to run full datasets through nested folders, greatly expediting the data analysis process.

Non-coding RNA, including microRNA (miRNA) serves critical regulatory functions in the developing brain. The let-7 family of miRNAs has been shown to regulate neuronal differentiation, neural subtype specification, and synapse formation in animal models. However, the regulatory role of human let-7c (hsa-let-7c) in human neuronal development has yet to be examined. Let-7c is encoded on chromosome 21 in humans and therefore may be overexpressed in human brains in Trisomy 21 (T21), a complex neurodevelopmental disorder. Here, we employ recent developments in stem cell biology to show that hsa-let-7c mediates important regulatory epigenetic functions that control the development and functional activity of human induced neuronal cells (iNs). We show that overexpression of hsa-let-7c in human iNs derived from induced pluripotent stem (iPS), as well as embryonic stem (ES), cells leads to morphological as well as functional deficits including impaired neuronal morphologic development, synapse formation and synaptic strength, as well as a marked reduction of neuronal excitability. Importantly, we have assessed these findings over three independent genetic backgrounds, showing that some of these effects are subject to influence by background genetic variability with the most robust and reproducible effect being a striking reduction in spontaneous neural firing. Collectively, these results suggest an important function for let-7 family miRNAs in regulation of human neuronal development and raise implications for understanding the complex molecular etiology of neurodevelopmental disorders, such as T21, where let-7c gene dosage is increased.

The OPRM1 A118G single nucleotide polymorphism (SNP rs1799971) gene variant encoding the N40D ¼-opioid receptor (MOR) has been associated with dependence on opiates and other drugs of abuse but its mechanism is unknown. The frequency of G-allele carriers is ~40% in Asians, ~16% in Europeans, and ~3% in African-Americans. With opioid abuse-related deaths rising at unprecedented rates, understanding these mechanisms may provide a path to therapy. Here we generated homozygous N40D subject-specific induced inhibitory neuronal cells (iNs) from seven human induced pluripotent stem (iPS) cell lines from subjects of European descent (both male and female) and probed the impact of N40D MOR regulation on synaptic transmission. We found that D40 iNs exhibit consistently stronger suppression (versus N40) of spontaneous inhibitory postsynaptic currents (sIPSCs) across multiple subjects. To mitigate the confounding effects of background genetic variation on neuronal function, the regulatory effects of MORs on synaptic transmission were recapitulated in two sets of independently engineered isogenic N40D iNs. In addition, we employed biochemical analysis and observed differential N-linked glycosylation of human MOR N40D. This study identifies neurophysiological and molecular differences between human MOR variants that may predict altered opioid responsivity and/or dependence in this subset of individuals.Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:

Number of words in the abstract: 249Number of words in the main text: 3454 Number of figures: 4Supplementary information: 1 Abstract Background: The OPRM1 A118G gene variant (N40D) encoding the µ-opioid receptor (MOR) has been associated with dependence on opiates and other abused drugs but its mechanism is unknown. With opioid abuse-related deaths rising at unprecedented rates, understanding these mechanisms may provide a path to therapy.Methods: Seven human induced pluripotent stem (iPS) cell lines from homozygous N40D subjects (4 with N40 and 3 with D40 variants) were generated and human induced neuronal cells (iNs) were derived from these iPS cell lines. Morphological, gene expression as well as synaptic physiology analyses were conducted in human iN cells carrying N40D MOR variants; Two pairs of isogenic pluripotent stem cells carrying N40D were generated using CRISPR/Cas9 genome-editing and iN cells derived from them were analyzed.Results: Inhibitory human neurons generated from subjects carrying N40D MOR gene variants show mature properties in morphological and functional analyses. Gene expression revealed that they express mature neuronal marker and MORs. Activation of MORs suppressed inhibitory synaptic transmission in human neurons carrying both N40 or D40 MOR variants but D40 show stronger effects. To mitigate the confounding effects of background genetic variation on neuronal function, the regulatory effects of MORs on synaptic transmission were validated in two sets of independently generated isogenic N40D iNs. Conclusions: Activations of N40D MOR variants show different regulatory effects onsynaptic transmission in inhibitory human neurons. This study identifies neurophysiological differences between human MOR variants that may predict altered opioid responsivity and/or dependence in this subset of individuals.