Imaging and Manipulation of Plasma Membrane Fatty Acid Clusters Using TOF-SIMS Combined Optogenetics

Author:

Zhang Chi,Kikushima KenjiORCID,Endo MizukiORCID,Kahyo Tomoaki,Horikawa Makoto,Matsudaira Takaomi,Tanaka Tatsuya,Takanashi YusukeORCID,Sato Tomohito,Takahashi YutakaORCID,Xu LiliORCID,Takayama NaokiORCID,Islam ArifulORCID,Mamun Md. AlORCID,Ozawa TakeakiORCID,Setou MitsutoshiORCID

Abstract

The plasma membrane (PM) serves multiple functions to support cell activities with its heterogeneous molecular distribution. Fatty acids (FAs) are hydrophobic components of the PM whose saturation and length determine the membrane’s physical properties. The FA distribution contributes to the PM’s lateral heterogeneity. However, the distribution of PM FAs is poorly understood. Here, we proposed the FA cluster hypothesis, which suggested that FAs on the PM exist as clusters. By the optogenetic tool translocating the endoplasmic reticulum (ER), we were able to manipulate the distribution of PM FAs. We used time-of-flight combined secondary ion mass spectrometry (TOF-SIMS) to image PM FAs and discovered that PM FAs were presented and distributed as clusters and are also manipulated as clusters. We also found the existence of multi-FA clusters formed by the colocalization of more than one FA. Our optogenetic tool also decreased the clustering degree of FA clusters and the formation probability of multi-FA clusters. This research opens up new avenues and perspectives to study PM heterogeneity from an FA perspective. This research also suggests a possible treatment for diseases caused by PM lipid aggregation and furnished a convenient tool for therapeutic development.

Funder

ministry of education, culture, sports, science and technology project for promoting public utilization of advanced research infrastructure

Japan Agency for Medical Research and Development

Japan Society for the Promotion of Science

Japan Science and Technology Agency

Foundation for Promotion of Material Science and Technology of Japan

Publisher

MDPI AG

Subject

General Medicine

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