Author

Alexander O. Subtelny

Howard Hughes Medical Institute

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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Genomics· 2 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 3 Organism:mouse· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Organism:Drosophila· 1 Approach:experimental assay· 1 Assay:metagenomics· 1

Frequent Co-Authors

David P. BarteliD· 3 shared Stephen W. EichhorniD· 2 shared Timothy J. EiseniD· 2 shared Igor UlitskyiD· 1 shared Kathy S. LiniD· 1 shared Prathapan ThiruiD· 1 shared Sean E. McGearyiD· 1 shared Sumeet Gupta· 1 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 21 mutual co-author links

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3 shared papersGenomics

David P. BartelORCID

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3 papers

Recent·Most cited

The Dynamics of Cytoplasmic mRNA Metabolism

Timothy J. Eisen, Stephen W. Eichhorn, Alexander O. Subtelny, Kathy S. Lin, Sean E. McGeary, Sumeet Gupta, David P. Bartel

The paper examines mRNA metabolism dynamics in mouse fibroblasts, finding that deadenylation rates determine cytoplasmic mRNA stability and degradation.

Molecular Cell · Jan 2, 2020Peer-reviewedGenomics

MicroRNAs Cause Accelerated Decay of Short-Tailed Target mRNAs

Timothy J. Eisen, Stephen W. Eichhorn, Alexander O. Subtelny, David P. Bartel

The paper shows miRNAs accelerate decay of short-tailed target mRNAs, preventing their accumulation despite promoting deadenylation.

Molecular Cell · Jan 2, 2020Peer-reviewedGenomics

Predicting microRNA targeting efficacy in Drosophila

Vikram Agarwal, Alexander O. Subtelny, Prathapan Thiru, Igor Ulitsky, David P. Bartel

The paper develops a quantitative model to predict microRNA targeting efficacy in Drosophila, outperforming existing models and updating TargetScanFly.

Genome biology · Oct 4, 2018Peer-reviewedSystems Biology