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The utilization of strain gauges as transducers for converting mechanical strain into electrical signals is a common practice in various engineering applications. These strain gauges are frequently integrated into Wheatstone bridge circuits to accurately measure parameters such as force or pressure. Within this context, each element within the circuit exhibits a resistance that undergoes subtle variations when subjected to mechanical strain. The primary objective is to convert minuscule...
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Multicellular organisms employ a variety of ways for cells to communicate with each other. Gap junctions are specialized proteins that form pores between neighboring cells in animals, connecting the cytoplasm between the two, and allowing for the exchange of molecules and ions. They are found in a wide range of invertebrate and vertebrate species, mediate numerous functions including cell differentiation and development, and are associated with numerous human diseases, including cardiac and...
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Bridging the Gap between Connectome and Transcriptome.

Alex Fornito1, Aurina Arnatkevičiūtė2, Ben D Fulcher3

  • 1Brain and Mental Health Research Hub, Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Victoria, Australia; Monash Biomedical Imaging, Monash University, Victoria, Australia.

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Summary
This summary is machine-generated.

Brain gene atlases reveal that gene expression patterns closely mirror neuronal connectivity. This link between molecular function and brain structure is conserved across species and scales, aiding understanding of brain health and disease.

Keywords:
DNAcomplex networkgraph analysishubmagnetic resonance imagingmicroarray

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Area of Science:

  • Neuroscience
  • Genomics
  • Computational Biology

Background:

  • Brain-wide gene expression atlases provide unprecedented spatial transcriptional data.
  • Understanding the relationship between gene expression and brain connectivity is crucial for neuroscience.

Purpose of the Study:

  • To investigate the link between spatial gene expression patterns and connectome organization.
  • To explore how gene expression relates to microcircuitry, inter-regional connectivity, and functional specialization.

Main Methods:

  • Analysis of brain-wide gene expression atlases.
  • Correlation of gene expression data with connectome structure and function.
  • Examination of conserved patterns across species and scales.

Main Results:

  • Spatial patterns of gene expression are strongly linked to neuronal connectivity.
  • Gene expression gradients correlate with regional variations in microcircuitry and functional specialization.
  • Specific gene expression-connectome associations are conserved across species and resolutions.

Conclusions:

  • Brain-wide gene expression atlases are valuable tools for linking molecular function to large-scale brain organization.
  • These findings provide insights into brain organization in both health and disease.
  • The study highlights conserved principles governing gene expression and neural connectivity.