Author

Gözde Ertürk Zararsız

Erciyes UniversityORCID 0000-0002-5495-7540Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 2 Organism:human· 2 Assay:metabolomics· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Ahu CepheiD· 1 shared Alexander CeciliD· 1 shared Ali YılmaziD· 1 shared Alice LimoncieliD· 1 shared Alparslan DemirayiD· 1 shared Daisuke SaigusaiD· 1 shared David Scott WishartiD· 1 shared Enrico GlaabiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Ahu CepheORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Multi-Omics Integration Reveals Lipid Metabolic Reprogramming as a Driver of Cystogenesis in Autosomal Dominant Polycystic Kidney Disease (ADPKD)

Gökmen Zararsız, Leila Kianmehr, Alparslan Demiray, Ahu Cephe, Halef Okan Doğan, Vahap Eldem, Salih Güntuğ Özaytürk, Kadir Demirkutlu, Serpil Taheri, Gözde Ertürk Zararsız, Necla Koçhan, Onur Şenol, İsmail Koçyiğit, Enrico Glaab

The paper integrates metabolomic and transcriptomic data from ADPKD patients to identify metabolic reprogramming linked to cystogenesis and disease progression.

bioRxiv · Dec 25, 2025 · PreprintBioinformatics

Interlaboratory comparison of standardised metabolomics and lipidomics analyses in human and rodent blood using the MxP(R) Quant 500 kit

Gözde Ertürk Zararsız, Jutta Lintelmann, Alexander Cecil, Jennifer Kirwan, Gernot Poschet, Hagen M. Gegner, Sven Schuchardt, Xue Li Guan, Daisuke Saigusa, David Scott Wishart, Jiamin Zheng, Rupasri Mandal, Kendra J. Adams, J. Will Thompson, Michael P. Snyder, , Gabi Kastenmüller

This study evaluates the interlaboratory reproducibility of the MxP(R) Quant 500 metabolomics/lipidomics kit across human and rodent blood samples, showing high consistency and reliability.

bioRxiv · Nov 13, 2024 · PreprintBiochemistry