Publications by authors named "Amirhossein Zarezadeh"
The intensity and duration of biological signals encode information that allows a few pathways to regulate a wide array of cellular behaviors. Despite the central importance of signaling in biomedical research, our ability to quantify it in individual cells over time remains limited. Here, we introduce INSCRIBE, an approach for reconstructing signaling history in single cells using endpoint fluorescence images.
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- Small non-coding RNAs are secreted via various mechanisms, but the sorting and secretion processes are not fully understood.
- The study introduces ExoGRU, a machine learning model that predicts the probabilities of small RNA secretion based on their RNA sequences, validated through experimental methods.
- The research identifies RNA-binding proteins that influence small RNA secretion and develops a technique called exoCLIP to study RNA-protein interactions, highlighting the potential of machine learning in biological research and its applications in therapeutics.