Author

S. Aparicio

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 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 5 Organism:human· 5 Approach:statistical model· 5 Research Focus:differential expression· 4 Assay:whole-genome sequencing· 4 Research Focus:cell type annotation· 3 Research Focus:cancer & tumor microenvironment· 2 Approach:deep learning· 2

Frequent Co-Authors

S. P. Shah· 5 shared A. McPherson· 4 shared N. Rusk· 4 shared A. C. Weiner· 3 shared B. Wang· 3 shared D. Lai· 3 shared F. Kabeer· 3 shared H. Lee· 3 shared

Activity by Year

2020-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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5 shared papersCancer Biology

S. P. Shah

Mutual co-authors in cluster

Author profile →

7 papers

Recent·Most cited

Single-cell DNA replication dynamics in genomically unstable cancers

A. C. Weiner, M. J. Williams, H. Shi, I. Vazquez-Garcia, S. Salehi, N. Rusk, S. Aparicio, S. P. Shah, A. McPherson

The paper develops a method to infer DNA replication states from single-cell sequencing and analyzes replication dynamics in aneuploid cancers, finding correlations between replication timing and copy number changes.

bioRxiv · Apr 10, 2023Cancer Biology

A Multifunctional Anchor for Multimodal Expansion Microscopy

Y. Cui, G. Yang, D. R. Goodwin, C. H. O'Flanagan, A. Sinha, C. Zhang, K. E. Kitko, D. Park, S. Aparicio, IMAXT Consortium, E. S. Boyden

This paper introduces a multifunctional anchor for expansion microscopy, enabling simultaneous imaging of multiple biomolecules with reduced cost and complexity.

bioRxiv · Jun 19, 2022 · PreprintBioengineering

Toxicology assessment of manganese oxide nanomaterials with enhanced electrochemical properties using human in vitro models representing different exposure routes

N. Fernandez-Pampin, J. J. Gonzalez Plaza, A. Garcia, E. Pena, C. Rumbo, R. Barros Garcia, S. Martel, S. Aparicio, J. A. Tamayo-Ramos

This study compares the toxicity of Mn3O4 nanoparticles and their precursor material across different in vitro models representing alveolar, oral, and dermal exposure routes.

bioRxiv · Apr 30, 2022Cell Biology

The Imaging and Molecular Annotation of Xenografts and Tumours (IMAXT) High Throughput Data and Analysis Infrastructure

E. A. Gonzalez-Solares, A. Dariush, C. Gonzalez-Fernandez, A. Küpcü Yoldas, M. Al Sa'd, N. Millar, T. Whitmarsh, N. Chornay, I. Falciatori, A. Fatemi, D. Goodwin, L. Kuett, C. M. Mulvey, M. Paez Ribes, F. Qosaj, , N. A. Walton

The paper presents an infrastructure for high-throughput data and analysis of tumour and xenograft samples using multimodal imaging and molecular annotation.

bioRxiv · Jun 22, 2021Cancer Biology

Evolutionary tracking of cancer haplotypes at single-cell resolution

M. J. Williams, T. Funnell, C. O'Flanagan, A. McPherson, S. Salehi, I. Vazquez-Garcia, F. Kabeer, H. Lee, T. Masud, P. Eirew, D. Yap, B. Wang, J. Brimhall, J. Biele, J. Ting, , S. P. Shah

The paper tracks cancer haplotypes at single-cell resolution, revealing allele-specific alterations and their role in structural variation evolution in human tumors.

bioRxiv · Jun 4, 2021 · PreprintCancer Biology

The impact of mutational processes on structural genomic plasticity in cancer cells

T. Funnell, C. H. O'Flanagan, M. J. Williams, A. McPherson, S. McKinney, F. Kabeer, H. Lee, T. Masud, P. Eirew, D. Yap, A. W. Zhang, J. L. P. Lim, B. Wang, J. Brimhall, J. Biele, , S. Aparicio

The paper analyzes structural genomic variations in cancer cells to understand how mutational processes influence cell-to-cell genomic diversity and tumor evolution.

bioRxiv · Jun 3, 2021 · PreprintCancer Biology

Single cell fitness landscapes induced by genetic and pharmacologic perturbations in cancer

S. Salehi, F. Kabeer, N. Ceglia, M. Andronescu, M. Williams, K. R. Campbell, T. Masud, B. Wang, J. Biele, J. Brimhall, J. Ting, A. W. Zhang, C. H. OFlanagan, F. Dorri, N. Rusk, , S. P. Shah

This study develops a quantitative fitness model to analyze clonal dynamics in cancer under genetic and pharmacologic perturbations, revealing how mutations and drug resistance shape tumor evolution.

bioRxiv · May 8, 2020Cancer Biology