Author

A. Garcia Garcia

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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Bioengineering· 2 Evolutionary Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

D. Zacharaki· 2 shared E. Ryabova· 2 shared O. Kuzenkov· 2 shared P. E. Bourgine· 2 shared S. Prithiviraj· 2 shared A. Balhuizen· 1 shared A. Degtyarev· 1 shared A. Grigoryan· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioengineering

D. Zacharaki

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Compositional editing of extracellular matrices by CRISPR/Cas9 engineering of human mesenchymal stem cell lines

S. Prithiviraj, A. Garcia Garcia, K. Linderfalk, B. Yiguang, S. Ferveur, L. N. Falck, A. Subramaniam, S. Mohlin, D. H. Gil, S. J. Dupard, D. Zacharaki, D. B. Raina, P. E. Bourgine

This study uses CRISPR/Cas9 to edit human mesenchymal stem cells to produce engineered extracellular matrices with modified VEGF and RUNX2 expression, showing altered osteogenic properties.

bioRxiv · Jul 28, 2023Bioengineering

Engineering of human mini-bones for the standardized modeling of healthy hematopoiesis, leukemia and solid tumor metastasis

A. Grigoryan, D. Zacharaki, A. Balhuizen, C. R. Come, A.-K. Frank, A. Garcia Garcia, K. Aaltonen, A. Manas, J. Esfandyari, N. Kalantari, P. Kjellman, S. Prithiviraj, E. Englund, C. D. Madsen, B. Porse, , P. E. Bourgine

This study develops standardized humanized mini-bones to model hematopoiesis, leukemia, and solid tumor metastasis by engrafting human blood and cancer samples.

bioRxiv · Sep 11, 2021Bioengineering

Modeling Vertical Migrations of Zooplankton Based on Maximizing Fitness

O. Kuzenkov, E. Ryabova, A. Garcia Garcia, A. Degtyarev

The paper models zooplankton vertical migrations by maximizing fitness using neural networks and optimal control, creating tools for analyzing aquatic ecosystem behavior.

bioRxiv · Jan 29, 2021 · PreprintEvolutionary Biology

Mathematical modelling evolutionarily stablebehavior of zooplankton with state constraints

O. Kuzenkov, E. Ryabova, A. Garcia Garcia, O. Kostromina

This paper develops a mathematical model and software to find evolutionarily stable strategies for zooplankton diel vertical migration, incorporating state constraints and fitness functions.

bioRxiv · Sep 29, 2020 · PreprintEvolutionary Biology