Cristiana Lungu

🌟 Innovation, Collaboration, and Networking in Biomedicine! 🌟 @3R_BioMedicUS has the pleasure of hosting a truly inspiring #workshop on Novel #Biotherapeutics and Drug Testing Platforms at the @Uni_Stuttgart.

Lipid-directed covalent fluorescent labeling of plasma membranes for long-term imaging, barcoding and manipulation of cells Fluorescent probes for cell plasma membrane (PM) are generally based on amphiphilic anchors that incorporate non-covalently into biomembranes. Therefore, they are not compatible with fixation and permeabilization, presence of serum, or cell co-culture because of their exchange with the medium. Here, we report a concept of lipid-directed covalent labeling of PM, which exploits transient binding to lipid membrane surface generating high local dye concentration, thus favoring covalent ligation to random proximal membrane proteins. This concept yielded a class of fluorescent probes for PM (MemGraft), where a cyanine dye (Cy3 and Cy5) bears at its two ends low-affinity membrane anchor and reactive group: an activated ester or a maleimide. We found that MemGraft probes with these reactive groups provide efficient PM labelling, in contrast to a series of control compounds, including commercial Cy3-based labels of amino and thiol groups, revealing the crucial role of the membrane anchor combined with high reactivity of activated ester and a maleimide groups. In contrast to conventional PM probes, based on non-covalent interactions, MemGraft labelling approach is compatible with cell fixation, permeabilization, trypsinization and presence of serum. The latter allows long-term cell tracking and video imaging of cell PM dynamics without signs of phototoxicity. The covalent strategy also enables staining and long-term tracking of co-cultured cells labelled in different colors without probes exchange. Moreover, combination of different ratios of MemGraft-Cy3 and MemGraft-Cy5 probes enabled long-term cell barcoding in at least 5 color codes, important for tracking and visualizing multiple cells populations. Ultimately, we found that MemGraft strategy enables efficient biotinylation of cell surface, opening the path to cell surface engineering and cell manipulation. ### Competing Interest Statement The authors have declared no competing interest.

Interesting ChemRxiv preprint by the group of Andrey Klymchenko. They develop fluorescent probes that enrich in the membrane and then covalently label proteins. This leads to plasma membrane labeling, which is resistant to cell permeabilization. #ChemBio www.biorxiv.org/cont...

Learning Collective Cell Migratory Dynamics from a Static Snapshot with Graph Neural Networks Using a geometric deep learning model, this study demonstrates prediction of collective cell dynamics from static images using both experimental and synthetic datasets, and identifies key features inf...

2️⃣ Learning Collective Cell Migratory Dynamics with Graph Neural Networks

In collaboration with our partners from the #MIT, we demonstrate how we can infer multicellular migratory dynamics from a single snapshot of cell positions using graph neural networks.

Check it out: doi.org/10.1103/PRXL...

1️⃣ DLC Proteins: Key Players in Development and Cancer
📚 A deep dive into how the family of DLC RhoGAP proteins influence development, cancer progression, and metastasis.

Check it out: doi.org/10.1016/j.ce...

🎉 Celebrating my debut on Bluesky with some exciting news! Thrilled to share that I contributed to two manuscripts published this month ->