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Extracellular vesicles: a potential source of biomarkers in neurodegenerative diseases

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985904%3A_____%2F20%3A00536530" target="_blank" >RIV/67985904:_____/20:00536530 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Extracellular vesicles: a potential source of biomarkers in neurodegenerative diseases

  • Original language description

    Extracellular vesicles (EVs) are mediators of intercellular communication, which can transfer protein, RNA or small molecules into recipient cells and change their phenotype. In the central nervous system, EVs play roles in various physiological functions, including development, synaptic transmission or neuronal protection and regeneration. In neurodegenerative diseases, EVs may participate in transfer of misfolded proteins into healthy cells but possess also diagnostic/prognostic and therapeutic potential. Research of neurodegenerative disease pathophysiology is limited to studies on cellular models, experimental animals or post-mortem tissues. EVs offer a valuable alternative to access the diseased nervous system with minimal invasiveness.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    10608 - Biochemistry and molecular biology

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Translational Research in Serious Human Diseases

  • ISBN

    978-80-200-3158-7

  • Number of pages of the result

    9

  • Pages from-to

    123-131

  • Number of pages of the book

    271

  • Publisher name

    Academia

  • Place of publication

    Praha

  • UT code for WoS chapter