Data from: Psilocin fosters neuroplasticity in iPSC-derived human cortical neurons

Abstract

<p>This dataset comprises a collection of structured Excel files containing quantitative measurements used to generate the graphs of the associated study on psilocin-induced neuronal plasticity. The data originate from experiments performed on human cortical neurons differentiated from induced pluripotent stem cells (iPSCs) derived from independent donors (cell lines).</p> <p>Each dataset is organized in tabular format and includes standardized variables describing experimental conditions and outcomes. Core variables include <em>State</em> (health status), <em>State_Nr</em> (cell line identifier), <em>State_State_Nr_combined</em> (combined identifier), <em>Batch</em> (independent differentiation rounds), <em>Treatment</em> (encoded experimental conditions), and one or more dependent variables representing measured outcomes. These outcomes include morphological and functional readouts such as BDNF particle density per neurite length, protein levels (e.g., Akt, pAkt), neurite complexity metrics, synaptic protein distribution, and electrophysiological properties (e.g., action potentials, synaptic currents).</p> <p>Treatment conditions are numerically encoded and correspond to defined experimental paradigms, including psilocin exposure, pharmacological co-treatments (e.g., ketanserin, dynasore and chelerythrine), and control conditions, as described in accompanying README file. The dataset captures measurements across multiple time points and experimental replicates, including biological replicates (distinct donors) and technical replicates. </p> <p>The data enable reproducibility of published figures and support statistical re-evaluation. Due to the use of human-derived cell lines, the dataset is de-identified, does not contain personal or sensitive information, and does not allow any conclusions to be drawn about individual donors.</p>

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