Author

Raheleh Sheibani‐Tezerji

Ludwig Boltzmann Institute Applied DiagnosticsORCID 0000-0002-1025-646XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:cancer & tumor microenvironment· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Organism:human· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Carlos Uziel Pérez MallaiD· 3 shared Gerda EggeriD· 3 shared Anna MalzeriD· 2 shared Jessica KallaiD· 2 shared Katarina MišuraiD· 2 shared Kristina DraganićiD· 2 shared Loan Tran· 2 shared Ana‐Iris SchieferiD· 1 shared

Activity by Year

2023-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersCancer Biology

Carlos Uziel Pérez MallaORCID

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3 papers

Recent·Most cited

Cancer BiologyLeukemiaPeer-reviewedApr 2, 2025

HDAC1 acts as tumor suppressor in ALK-positive anaplastic large-cell lymphoma: Implications for HDAC inhibitor therapy

Maša Zrimšek, Kristina Draganić, Anna Malzer…·Gerda Egger

This study shows HDAC1 suppresses ALK-positive lymphoma growth, but systemic HDAC inhibition can still be therapeutic.

8 citations

mouseexperimental assay

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Cancer BiologyMolecular OncologyPeer-reviewedMar 11, 2025

Aggressive KRAS mutations direct TGF-β response towards partial EMT in patient-derived colorectal cancer tumoroids

Theresia Mair, Philip König, Milena Mijović…·Gerda Egger

This study investigates how TGF-β affects colorectal cancer tumoroids, finding that aggressive KRAS mutations lead to partial EMT and increased invasiveness.

2 citations

humanbulk RNA-seq

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BioinformaticsbioRxivPreprintMar 2, 2023

Identification of Biomarkers and Trajectories of Prostate Cancer Progression: A Bioinformatics Fusion of Weighted Correlation Network Analysis and Machine Learning

Raheleh Sheibani‐Tezerji, Carlos Uziel Pérez Malla, Gabriel Wasinger…·Gerda Egger

This study identifies biomarkers and trajectories of prostate cancer progression using bioinformatics fusion of weighted correlation network analysis and machine learning, finding the EZH2-TROAP axis as a key trajectory and 58 validated biomarkers.

1 citation

humanbulk RNA-seq

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