Author

I. Barozzi

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· 5 Bioengineering· 1

Signature Assays, Organisms & Methods

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Organism:human· 6 Research Focus:gene regulatory network inference· 4 Approach:statistical model· 4 Research Focus:cell type annotation· 3 Approach:experimental assay· 3 Assay:scRNA-seq· 3 Assay:bulk RNA-seq· 2 Research Focus:cancer & tumor microenvironment· 2

Frequent Co-Authors

L. Magnani· 4 shared A. Sottoriva· 2 shared D. Nichol· 2 shared G. D. Cresswell· 2 shared G. Pruneri· 2 shared I. Spiteri· 2 shared S. P. Hong· 2 shared A. Acar· 1 shared

Activity by Year

2018-2024 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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4 shared papersCancer Biology

L. Magnani

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

Coexisting morpho-biotypes unveil the regulatory bases of phenotypic plasticity in pancreatic ductal adenocarcinoma

P. Di Chiaro, L. Nacci, S. Brandini, S. Polletti, B. Donati, F. Gualdrini, G. Frige', L. Mazzarella, A. Ciarrocchi, A. Zerbi, P. Spaggiari, I. Barozzi, G. R. Diaferia, G. Natoli

This study identifies three morpho-biotypes in PDAC and their associated gene regulatory networks, aiming to improve patient stratification and therapy.

Cancer Cell · Apr 1, 2024Peer-reviewedCancer Biology

Logical design of synthetic cis-regulatory DNA for genetic tracing of cell identities and state changes

C. Company, M. J. Schmitt, Y. Dramaretska, S. Kertalli, B. Jiang, M. Serresi, I. Barozzi, G. Gargiulo

The paper introduces LSD, a computational framework for designing synthetic cis-regulatory DNA to mark cellular states, and demonstrates its effectiveness in identifying cell-state drivers.

bioRxiv · Nov 4, 2022Bioengineering

The co-evolution of the genome and epigenome in colorectal cancer

T. Heide, J. Househam, I. Spiteri, C. Lynn, G. D. Cresswell, M. Mossner, C. Kimberley, J. Fernandez-Mateos, B. Chen, L. Zapata, C. James, I. Barozzi, K. Chkhaidze, D. Nichol, A. Berner, , A. Sottoriva

This study examines the co-evolution of genome and epigenome in colorectal cancer using single-clone spatial multi-omic profiling, revealing epigenetic changes and their impact on mutation accumulation.

Nature · Oct 26, 2022Peer-reviewedCancer Biology

Genetic and epigenetic driven variation in regulatory regions activitycontribute to adaptation and evolution under endocrine treatment

N. Slaven, R. Lopes, E. Canale, D. Ivanoiu, C. Pacini, I. A. Monteiro Barbosa, M. Bleu, S. Bravaccini, S. Ravaioli, M. V. Dieci, G. Pruneri, G. Galli, I. Barozzi, L. Magnani

This study identifies non-coding DNA alterations in hormone-dependent breast cancer that contribute to endocrine therapy resistance and disease progression.

bioRxiv · Feb 15, 2022 · PreprintCancer Biology

Exploiting evolutionary herding to control drug resistance in cancer

A. Acar, D. Nichol, J. Fernandez, G. D. Cresswell, I. Barozzi, S. P. Hong, I. Spiteri, M. Stubbs, R. Burke, A. Stewart, G. Vlachogiannis, C. C. Maley, L. Magnani, N. Valeri, U. Banerji, A. Sottoriva

This paper demonstrates evolutionary herding in non-small cell lung cancer to control drug resistance by shifting clonal composition and inducing collateral sensitivity.

bioRxiv · Mar 4, 2019 · PreprintCancer Biology

Single-cell Transcriptomics reveals multi-step adaptations to endocrine therapy

S. P. Hong, T. E. Chan, Y. Lombardo, G. Corleone, N. Rotmensz, G. Pruneri, K. R. McEwen, C. R. Coombes, I. Barozzi, L. Magnani

This study uses single-cell transcriptomics to identify pre-adapted cells that undergo reprogramming to develop resistance to endocrine therapy in breast cancer.

bioRxiv · Dec 2, 2018Cancer Biology