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Identification, characterization, and engineering of glycosylation in thrombolyticsa

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00209805%3A_____%2F23%3A00079265" target="_blank" >RIV/00209805:_____/23:00079265 - isvavai.cz</a>

  • Result on the web

    <a href="https://www-sciencedirect-com.ezproxy.muni.cz/science/article/pii/S0734975023000812" target="_blank" >https://www-sciencedirect-com.ezproxy.muni.cz/science/article/pii/S0734975023000812</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.biotechadv.2023.108174" target="_blank" >10.1016/j.biotechadv.2023.108174</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Identification, characterization, and engineering of glycosylation in thrombolyticsa

  • Original language description

    Cardiovascular diseases, such as myocardial infarction, ischemic stroke, and pulmonary embolism, are the most common causes of disability and death worldwide. Blood clot hydrolysis by thrombolytic enzymes and thrombectomy are key clinical interventions. The most widely used thrombolytic enzyme is alteplase, which has been used in clinical practice since 1986. Another clinically used thrombolytic protein is tenecteplase, which has modified epitopes and engineered glycosylation sites, suggesting that carbohydrate modification in thrombolytic enzymes is a viable strategy for their improvement. This comprehensive review summarizes current knowledge on computational and experimental identification of glycosylation sites and glycan identity, together with methods used for their reengineering. Practical examples from previous studies focus on modification of glycosylations in thrombolytics, e.g., alteplase, tenecteplase, reteplase, urokinase, saruplase, and desmoteplase. Collected clinical data on these glycoproteins demonstrate the great potential of this engineering strategy. Outstanding combinatorics originating from multiple glycosylation sites and the vast variety of covalently attached glycan species can be addressed by directed evolution or rational design. Directed evolution pipelines would benefit from more efficient cell-free expression and high-throughput screening assays, while rational design must employ structure prediction by machine learning and in silico characterization by supercomputing. Perspectives on challenges and opportunities for improvement of thrombolytic enzymes by engineering and evolution of protein glycosylation are provided.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10608 - Biochemistry and molecular biology

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Biotechnology advances

  • ISSN

    0734-9750

  • e-ISSN

    1873-1899

  • Volume of the periodical

    66

  • Issue of the periodical within the volume

    September 2023

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    23

  • Pages from-to

    108174

  • UT code for WoS article

    001009152300001

  • EID of the result in the Scopus database

    2-s2.0-85160427281