Author

A. Sabirsh

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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Cell Biology· 2 Bioengineering· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:proteomics· 3 Research Focus:cell type annotation· 2 Approach:microscopy & imaging analysis· 2 Research Focus:cell-cell communication· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

L. Lindfors· 3 shared A. Hoijer· 2 shared M. Bickle· 2 shared M. Zerial· 2 shared P. Paramasivam· 2 shared S. Andersson· 2 shared S. Bartesaghi· 2 shared A. Bak· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersBiophysics

L. Lindfors

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Time evolution of PEG-shedding and serum protein coronation determines the cell uptake kinetics and delivery of lipid nanoparticle formulated mRNA

A. Gallud, M. J. Munson, K. Liu, A. Idstrom, H. M. Barriga, S. Tabaei, N. Aliakbarinodehi, M. Ojansivu, Q. Lubart, J. J. Doutch, M. N. Holme, L. Evenas, L. Lindfors, M. M. Stevens, A. Collen, , E. K. Esbjorner

This study models protein corona formation on LNPs and identifies time-dependent steps that affect their uptake and mRNA delivery, showing that pre-incubation in serum can eliminate a lag-time.

bioRxiv · Aug 20, 2021 · PreprintBiophysics

Quantitative intracellular retention of delivered RNAs through optimized cell fixation and immuno-staining

P. Paramasivam, M. Stoter, E. Corradi, I. D. Costa, A. Hoijer, S. Bartesaghi, A. Sabirsh, L. Lindfors, M. Y. Arteta, P. Nordberg, S. Andersson, M.-L. Baudet, M. Bickle, M. Zerial

The paper optimizes cell fixation and immuno-staining to quantitatively retain and visualize exogenously delivered and endogenous nucleic acids in sub-cellular compartments.

bioRxiv · Jul 6, 2021Cell Biology

Endosomal escape of delivered mRNA from endosomal recycling tubules visualized at the nanoscale

P. Paramasivam, C. Franke, M. Stoeter, A. Hoijer, S. Bartesaghi, A. Sabirsh, L. Lindfors, M. Yanez Arteta, A. Dahlen, A. Bak, S. Andersson, Y. Kalaidzidis, M. Bickle, M. Zerial

The paper visualizes mRNA escape from endosomal recycling tubules using super-resolution microscopy and identifies parameters affecting endosomal escape and cytotoxicity in human cells.

bioRxiv · Dec 18, 2020Bioengineering

Deep learning models for lipid-nanoparticle-based drug delivery

P. J. Harrison, H. Wieslander, A. Sabirsh, J. Karlsson, V. Malmsjö, A. Hellander, C. Wählby, O. Spjuth

The paper uses deep learning models to predict GFP expression in HepG2 cells exposed to lipid-nanoparticle-based mRNA therapeutics, showing improved performance with temporal dynamics modeling.

bioRxiv · Apr 6, 2020Cell Biology