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Olga Šamajová

Researcher at Palacký University, Olomouc

Publications -  58
Citations -  1732

Olga Šamajová is an academic researcher from Palacký University, Olomouc. The author has contributed to research in topics: Arabidopsis & Arabidopsis thaliana. The author has an hindex of 21, co-authored 54 publications receiving 1345 citations. Previous affiliations of Olga Šamajová include University of Bonn & Slovak Academy of Sciences.

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Transient plant transformation mediated by Agrobacterium tumefaciens: Principles, methods and applications.

TL;DR: The applications of Agrobacterium based transient plant transformation technology in biotech industry are presented in thorough detail and involve production of recombinant proteins (plantibodies, vaccines and therapeutics) and effectoromics-assisted breeding of late blight resistance in potato.
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Improvement of stress tolerance in plants by genetic manipulation of mitogen-activated protein kinases.

TL;DR: The main focus of this review is devoted to the MAPK-related signaling components which show the most promising biotechnological potential and are involved both in plant development as well as in stress responses, suggesting that these processes are tightly linked in plants.
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Involvement of YODA and mitogen activated protein kinase 6 in Arabidopsis post-embryogenic root development through auxin up-regulation and cell division plane orientation

TL;DR: The findings that MPK6 localized to preprophase bands (PPBs) and phragmoplasts while the mpk6-4 mutant transformed with MPK 6AEF showed a root phenotype similar to that of yda1 demonstrated thatMPK6 is an important player downstream of YODA.
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Super-resolution Microscopy in Plant Cell Imaging

TL;DR: The basic principles of existing super-resolution methods are summarized and examples of applications in plant science are provided and the potential for future Applications in plant cell imaging is highlighted.
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Multiscale imaging of plant development by light-sheet fluorescence microscopy.

TL;DR: The most important, recent biological applications of LSFM methods in developmental studies of established and emerging plant model species are reviewed, together with up-to-date methods of data editing and evaluation for modelling of complex biological processes.