Author

G. Balazsi

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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Cancer Biology· 2 Biophysics· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Assay:scRNA-seq· 2 Organism:bacteria (other)· 1 Assay:bulk RNA-seq· 1 Organism:C. elegans· 1

Frequent Co-Authors

A. de Graff· 1 shared A. Nemajerova· 1 shared A. Valdespino· 1 shared C. Dann· 1 shared C. Weistuch· 1 shared D. Rubel· 1 shared D. Yang· 1 shared F. Luo· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperBiophysics

A. de Graff

Mutual co-authors in cluster

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4 papers

Recent·Most cited

Transcriptional drift in aging cells: A global de-controller

T. Matsuzaki, C. Weistuch, A. de Graff, K. A. Dill, G. Balazsi

The paper identifies transcriptional drift in aging C. elegans worms, showing upregulated sensory proteins and downregulated growth/metabolism genes, and proposes a mechanistic model involving ligand binding.

bioRxiv · Nov 21, 2023 · PreprintBiophysics

A luminal intermediate cell state maintains long-term prostate homeostasis and contributes to tumorigenesis

F. Luo, L. F. Tshering, K. Tutuska, M. Szenk, D. Rubel, J. G. Rail, S. Russ, J. Liu, A. Nemajerova, G. Balazsi, F. Talos

The paper identifies a luminal intermediate cell state in the prostate that maintains homeostasis and contributes to tumorigenesis in mouse models, with potential relevance to human prostate cancer.

bioRxiv · Feb 24, 2023 · PreprintCancer Biology

Analysis of gene expression heterogeneity reveals therapeutic targets and novel regulators of metastasis

D. Yang, C. Dann, A. Valdespino, L. Robinson-Mailman, M. Henn, M. Chen, G. Balazsi, M. R. Rosner

The paper identifies therapeutic targets and novel metastasis regulators by analyzing gene expression heterogeneity in triple-negative breast cancer using single-cell RNA sequencing.

bioRxiv · Dec 16, 2022 · PreprintCancer Biology

Optimality of the spontaneous prophage induction rate

M. G. Cortes, J. Krog, G. Balazsi

The paper models the evolutionary dynamics of lysogens and nonlysogens to show there is an optimal spontaneous prophage induction rate that benefits lysogens.

bioRxiv · Feb 11, 2019Evolutionary Biology