Author

Silvia Hnatova

University of CambridgeORCID 0000-0001-9987-5306Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:metabolomics· 1 Assay:scRNA-seq· 1 Organism:yeast· 1

Frequent Co-Authors

Alexandra Nunes· 1 shared Andrew KottickiD· 1 shared Araks MartirosyaniD· 1 shared Brian James GoodfellowiD· 1 shared Catherine MarneffeiD· 1 shared Daniel J. H. NightingaleiD· 1 shared Daniel M. BeaniD· 1 shared Dietmar Rudolf ThaliD· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperSystems Biology

Alexandra Nunes

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2 papers

Recent·Most cited

BioinformaticsMolecular NeurodegenerationPeer-reviewedJan 20, 2024

Unravelling cell type specific response to Parkinson's Disease at single cell resolution

Araks Martirosyan, Rizwan Ahmad Ansari, Francisco Pestana…·Matthew G. Holt

The paper analyzes single-cell transcriptomics data from Parkinson's Disease patients and controls to identify cell type-specific molecular responses and pathways involved in neurodegeneration.

128 citationstop 1%

humanscRNA-seq

𝕏 PostBluesky

Systems BiologybioRxivPreprintApr 26, 2019

A multi-omic analysis of optineurin proteinopathy in a yeast model suggests the involvement of lipid metabolism in Amyotrophic Lateral Sclerosis

Daniel M. Bean, Silvia Hnatova, Michael Mülleder…·Stephen G. Oliver

The paper uses a yeast model to analyze multi-omic data from OPTN overexpression, finding distinct genetic and metabolic responses to different ALS-linked genes.

1 citation

yeastmetabolomics

𝕏 PostBluesky