Shedding light on membrane rafts structure and dynamics in living cells
| Autor: | Jon Ander Nieto-Garai, Maier Lorizate, F.-Xabier Contreras |
|---|---|
| Přispěvatelé: | Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Eusko Jaurlaritza |
| Rok vydání: | 2021 |
| Předmět: |
Sphingolipids
Ion Transport Membrane rafts Chemistry In silico Cell Membrane Biophysics Membrane Proteins Cell Biology Living cells Nanoscale membrane heterogeneity Biochemistry Lipid nanodomais Membrane Cholesterol Membrane Microdomains Membrane protein Fluorescence microscope Humans lipids (amino acids peptides and proteins) Protein activity |
| Zdroj: | Biochimica et biophysica acta. Biomembranes. 1864(1) |
| ISSN: | 1879-2642 |
| Popis: | Cellular membranes are fundamental building blocks regulating an extensive repertoire of biological functions. These structures contain lipids and membrane proteins that are known to laterally self-aggregate in the plane of the membrane, forming defined membrane nanoscale domains essential for protein activity. Membrane rafts are described as heterogeneous, dynamic, and short-lived cholesterol- and sphingolipid-enriched membrane nanodomains (10–200 nm) induced by lipid-protein and lipid-lipid interactions. Those membrane nanodomains have been extensively characterized using model membranes and in silico methods. However, despite the development of advanced fluorescence microscopy techniques, undoubted nanoscale visualization by imaging techniques of membrane rafts in the membrane of unperturbed living cells is still uncompleted, increasing the skepticism about their existence. Here, we broadly review recent biochemical and microscopy techniques used to investigate membrane rafts in living cells and we enumerate persistent open questions to answer before unlocking the mystery of membrane rafts in living cells. This work was supported by grants from the Spanish Ministry of Science Innovation and Universities (PID2020-117405GB-I00) and the Basque Government (IT1264-19) to FXC and ML. |
| Databáze: | OpenAIRE |
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