Maryia Hrynashka

Ms. Maryia Hrynashka


Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 August 2026 in Cells
Verified
Journal Article
Open access
PDF file
BRBrigette Romero
Brigette Romero
JBJadira Fuentes Bautista
Jadira Fuentes Bautista
VBVictoria Lynn Beringer
Victoria Lynn Beringer
MHMaryia Hrynashka
Maryia Hrynashka
VPVijay Parashar
Vijay Parashar
Mona BatishMona Batish
Mona Batish
RNA-binding proteins (RBPs) are essential regulators of RNA metabolism and gene expression, influencing processes such as splicing, stability, localization, and translation. Despite their critical roles in health and disease, including cancer, identifying RNA–protein interactions remains challenging due to technical limitations and biases of existing methods. Here we review and compare experimental techniques—including in vitro affinity purification, in vivo crosslinking, and proximity labeling—and computational prediction tools for RBP identification. We assess their strengths, limitations, and applicability across biological contexts, emphasizing the benefits of integrating experimental and computational strategies. Our analysis provides practical guidelines for selecting appropriate methodologies tailored to different cell types and research goals. These insights aim to facilitate more accurate mapping of RNA–protein interactomes, thereby advancing understanding of RBP functions and supporting the development of novel therapeutic interventions targeting RNA–protein complexes.

17 July 2026 in Preprints.org
Verified
Preprint
Open access
PDF file
BRBrigette Romero
Brigette Romero
JBJadira Fuentes Bautista
Jadira Fuentes Bautista
VBVictoria Lynn Beringer
Victoria Lynn Beringer
MHMaryia Hrynashka
Maryia Hrynashka
VPVijay Parashar
Vijay Parashar
Mona BatishMona Batish
Mona Batish
RNA-binding proteins (RBPs) are essential regulators of RNA metabolism and gene expression, influencing processes such as splicing, stability, localization, and translation. Despite their critical roles in health and disease, including cancer, identifying RNA-protein interactions remains challenging due to technical limitations and biases of existing methods. Here we review and compare experimental techniques—including in vitro affinity purification, in vivo cross-linking, and proximity labeling—and computational prediction tools for RBP identification. We assess their strengths, limitations, and applicability across biological contexts, emphasizing the benefits of integrating experimental and computational strategies. Our analysis provides practical guidelines for selecting appropriate methodologies tailored to different cell types and research goals. These insights aim to facilitate more accurate mapping of RNA-protein interactomes, thereby advancing understanding of RBP functions and supporting the development of novel therapeutic interventions targeting RNA-protein complexes.