Author

J. A. Torreno-Pina

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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Biophysics· 3

Signature Assays, Organisms & Methods

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Assay:fluorescence / live-cell microscopy· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell-cell communication· 1 Approach:machine learning (classical)· 1 Approach:microscopy & imaging analysis· 1

Frequent Co-Authors

N. Mateos· 3 shared G. Munoz-Gil· 2 shared M. Beato· 2 shared M. Garcia-Parajo· 2 shared M. Lewenstein· 2 shared C. Romero· 1 shared C. Romero-Aristizabal· 1 shared E. Gutierrez-Martinez· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersBiophysics

N. Mateos

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Author profile →

3 papers

Recent·Most cited

BiophysicsbioRxivPreprintSep 29, 2023

Early steps of multi-receptor viral interactions dissected by high-density, multi-color single molecule mapping in living cells

N. Mateos, E. Gutierrez-Martinez, J. Angulo-Capel…·J. A. Torreno-Pina

The paper develops a high-density, multi-color single-molecule mapping method to study viral-receptor interactions in living cells and finds coordinated receptor diffusion affects viral residence time and infectivity.

DOI 10.1101/2023.09.29.560105

humanfluorescence / live-cell microscopy

𝕏 PostBluesky

BiophysicsbioRxivPreprintJan 11, 2022

Particle flow modulates growth dynamics and nanoscale-arrested growth of transcription factor condensates in living cells

G. Munoz-Gil, C. Romero-Aristizabal, N. Mateos…·J. A. Torreno-Pina

The paper investigates the biophysical properties of transcription factor condensates using single molecule imaging and modeling, revealing that growth dynamics are regulated by particle flow and molecular escaping.

DOI 10.1101/2022.01.11.475940

humanfluorescence / live-cell microscopy

𝕏 PostBluesky

BiophysicsbioRxivPreprintSep 9, 2020

Phase separation of tunable biomolecular condensates predicted by an interacting particle model

G. Munoz-Gil, C. Romero, N. Mateos…·J. A. Torreno-Pina

The paper develops a theoretical model of phase separation using interaction probabilities and validates it with single-molecule experiments on transcription factor condensates.

DOI 10.1101/2020.09.09.289876

statistical model

𝕏 PostBluesky