Author

Russell A. Gould

Cornell UniversityORCID 0000-0002-1789-0631Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:statistical model· 2 Organism:Arabidopsis· 1 Assay:ATAC-seq· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alexandru M. PleşaiD· 1 shared Ali Doğa YüceliD· 1 shared Anirikh ChakrabartiiD· 1 shared David M. BasseniD· 1 shared George CaiiD· 1 shared George McDonald ChurchiD· 1 shared Harlan P. StevensiD· 1 shared Jeffrey D. VarneriD· 1 shared

Activity by Year

2016-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperGenomics

Alexandru M. PleşaORCID

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3 papers

Recent·Most cited

Architectural fragility of gene regulatory networks underlies hematopoietic stem cell aging

Harlan P. Stevens, Ali Doğa Yücel, Russell A. Gould, George Cai, Vadim N. Gladyshev, Alexandru M. Pleşa, George McDonald Church

The paper analyzes single-cell multiome data from human HSPCs to show aging-related rewiring of gene regulatory networks, leading to stress hyperactivation, myeloid bias, and identity loss.

bioRxiv · Jun 4, 2026 · PreprintGenomics

Accurate transcription start sites enable mining for the cis-regulatory determinants of tissue specific gene expression

Mitra Ansariola, Valerie N. Fraser, Sergei A. Filichkin, Maria G. Ivanchenko, Zachary A. Bright, Russell A. Gould, Olivia R. Ozguc, Shawn T. O’Neil, Molly S. Megraw

The paper identifies cis-regulatory determinants of tissue-specific gene expression in Arabidopsis thaliana by analyzing TSS-seq, OC-seq, and RNA-seq data, finding that TSS-proximal TF binding sites are more important than distal chromatin regions.

bioRxiv · Sep 1, 2020 · PreprintGenomics

Population heterogeneity in the epithelial to mesenchymal transition is controlled by NFAT and phosphorylated Sp1

Russell A. Gould, David M. Bassen, Anirikh Chakrabarti, Jeffrey D. Varner, Jonathan Talbot Butcher

The paper develops a mathematical model of EMT regulation, identifies NFAT and phosphorylated Sp1 as master regulators, and shows that dual TGF-{beta} and VEGF-A exposure leads to phenotypic heterogeneity.

PLoS Computational Biology · Dec 27, 2016Peer-reviewedSystems Biology