AI Article Synopsis

  • - The research explores the differences in neurons and circuits at a single-cell level, using advanced techniques like single-cell multiomics and transomics to analyze gene expression and cellular functions.
  • - It emphasizes the importance of understanding the diversity and organization of neurons in translating these findings into clinical practices, potentially leading to new therapies for neurological diseases.
  • - The integration of various biological data, including metabolomics and epigenetic modifications, aims to provide deeper insights into how cells function, ultimately improving diagnosis and treatment of brain disorders.

Article Abstract

The spatiotemporal heterogeneity of neurons, circuits and regulators is being uncovered at a single-cell level, from single-cell gene expression to functional regulations. The classifications, architectonics and functional communications amongst neural cells and circuits within the brain can be clearly delineated using single-cell multiomics and transomics. This Editorial highlights the spatiotemporal heterogeneity of neurons and circuits as well as regulators, initiates the translation of neuronal diversity and spatial organisation at single-cell levels into clinical considerations, and enables the discovery and development of new therapies for neurological diseases. It is predicted that single-cell and spatial multiomics will be integrated with metabolomic profiles and corresponding gene epigenetic modifications. The interactions amongst DNAs, RNAs and proteins in a cell provide details of intracellular functional regulations and new opportunities for the translation of temporospatial diversity of neural cell subtypes/states into clinical practice. The application of single-cell multiomics with four-dimensional genome to the human pathological brain will lead us to a new milestone of the diagnosis and treatment.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11136700PMC
http://dx.doi.org/10.1002/ctm2.1696DOI Listing

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