Using adjusted local assortativity with Molecular Pixelation unveils colocalization of membrane proteins with immunological significance.

ABSTRACT: Advances in spatial proteomics and protein colocalization are a driving force in the understanding of cellular mechanisms and their influence on biological processes. New methods in the field of spatial proteomics call for the development of algorithms and open up new avenues of research. The newly introduced Molecular Pixelation (MPX) provides spatial information on surface proteins and their relationship with each other in single cells. This allows for in silico representation of neighborhoods of membrane proteins as graphs. In order to analyze this new data modality, we adapted local assortativity in networks of MPX single-cell graphs and created a method that is able to capture detailed information on the spatial relationships of proteins. The introduced method can evaluate the

SUBMITTER: Rhomberg-Kauert J 

PROVIDER: S-EPMC11231075 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature