Author

Daniela Contreras

Columbia University Irving Medical Center

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Cell Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Research Focus:cell type annotation· 2 Organism:human· 2 Organism:mouse· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Approach:benchmark study· 1

Frequent Co-Authors

Xizhe Wang· 3 shared Yousin SuhiD· 3 shared Adam D. HudginsiD· 2 shared Jin CheniD· 2 shared Jiping YangiD· 2 shared Amir Gamliel· 1 shared Cagdas Tazearslan· 1 shared Jan H.J. HoeijmakersiD· 1 shared

Activity by Year

2022-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersBioinformatics

Xizhe Wang

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3 papers

Recent·Most cited

Transcriptomic signatures of mouse ovarian aging and estropausal transition at single cell resolution

Xifan Wang, Jiping Yang, Jin Chen, Xizhe Wang, Daniela Contreras, Melody Devos, Yousin Suh

This study uses single-cell transcriptomics to analyze mouse ovarian aging and identifies molecular changes associated with the estropausal transition.

bioRxiv · Aug 12, 2024 · PreprintBioinformatics

In vitro heterochronic parabiosis identifies pigment epithelium-derived factor as a systemic mediator of rejuvenation by young blood

Xizhe Wang, Cagdas Tazearslan, Seungsoo Kim, Qinghua Guo, Daniela Contreras, Jiping Yang, Adam D. Hudgins, Yousin Suh

This study identifies PEDF as a systemic factor in young blood that rejuvenates cells and tissues, using an in vitro heterochronic parabiosis system.

bioRxiv · May 2, 2024 · PreprintCell Biology

The regulatory landscapes of human ovarian ageing

Jin Chen, Xizhe Wang, Adam D. Hudgins, Amir Gamliel, Mingzhuo Pei, Seung-Soo Kim, Daniela Contreras, Jan H.J. Hoeijmakers, Judith Campisi, Rogerio A. Løbo, Zev Williams, Michael G. Rosenfeld, Yousin Suh

This study uses single-nuclei multi-omics analysis to identify molecular and cellular changes in human ovarian ageing and links genetic variants to age at natural menopause.

bioRxiv · May 18, 2022 · PreprintGenomics