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Miranda, L.

Publications and source records attributed to Miranda, L..

2 recordsLinked to original sources

Automatically annotated motion tracking identifies a distinct social behavioral profile following chronic social defeat stress

Severe stress exposure is a global problem with long-lasting negative behavioral and physiological consequences, increasing the risk of stress-related disorders such as major depressive disorder (MDD). An essential characteristic of MDD is the impairment of social functioning and lack of social motivation. Chronic social defeat stress is an established animal model for MDD research, which induces a cascade of physiological and social behavioral changes. The current developments of markerless pose estimation tools allow for more complex and socially relevant behavioral tests, but the application of these tools to social behavior remains to be explored. Here, we introduce the open-source tool "DeepOF" to investigate the individual and social behavioral profile in mice by providing supervised and unsupervised pipelines using DeepLabCut annotated pose estimation data. The supervised pipeline relies on pre-trained classifiers to detect defined traits for both single and dyadic animal behavior. Subsequently, the unsupervised pipeline explores the behavioral repertoire of the animals without label priming, which has the potential of pointing towards previously unrecognized motion motifs that are systematically different across conditions. We here provide evidence that the DeepOF supervised and unsupervised pipelines detect a distinct stress-induced social behavioral pattern, which was particularly observed at the beginning of a novel social encounter. The stress-induced social behavior shows a state of arousal that fades with time due to habituation. In addition, while the classical social avoidance task does identify the stress-induced social behavioral differences, both DeepOF behavioral pipelines provide a clearer and more detailed profile. DeepOF aims to facilitate reproducibility and unification of behavioral classification of social behavior by providing an open-source tool, which can significantly advance the study of rodent individual and social behavior, thereby enabling novel biological insights as well as drug development for psychiatric disorders.

neuroscience↗

Unique role and vulnerability of EP300 KIX domain in small-cell lung cancer

EP300 (E1A binding protein p300) is a versatile transcription co-activator important in cell proliferation and differentiation. The gene EP300 is frequently mutated in diverse cancer types, including small-cell lung cancer (SCLC). While it is widely believed that these mutations result in loss of EP300 function, the impact on SCLC pathogenesis remains largely unknown. Here we demonstrate that mutant EP300 variants lacking histone acetyltransferase (HAT) domain accelerate tumor development in autochthonous mouse models of SCLC. However, unexpectedly, complete knockout of Ep300 suppresses tumor development and inhibits proliferation of both human and mouse SCLC cells. Genetic dissection of EP300 domains identifies kinase-inducible domain (KID)-interacting (KIX) domain, specifically its interaction with transcription factors such as CREB1 and MYB, as the determinant of pro-tumorigenic activity. Blockade of the KIX-mediated protein interactions using a small molecule and a recombinant peptide mimicking the KIX-binding sequences of EP300-interacting partners inhibits the growth of SCLC cells. These findings identify domain-specific roles of EP300 in SCLC and unique vulnerability of the EP300 KIX domain to potential therapeutics.

cancer biology↗