Hierarchical Dendritic Photonic Crystal Beads for Efficient Isolation and Proteomic Analysis of Multiple Cell Types.
Wenya ChangYu LiYuhan CaiShu WangXiaorong SongJie SunDawei DengZhongze GuZhuoying XiePublished in: Advanced healthcare materials (2024)
Cell types with different morphology, and function collaborate to maintain organ function. As such, analyzing proteomic differences and connections between different types of cells forms the foundation for establishing functional connectomes and developing in vitro organoid simulation experiments. However, the efficiency of cell type isolation from organs is limited by time, equipment, and cost. Here, hierarchical dendritic photonic crystal beads (HDPCBs) featuring high-density functional groups via the self-assembly of dendritic mesoporous structure SiO 2 nanoparticles (DM-SiO 2 ) and grafting dendrimers onto the surface of dendritic mesoporous photonic crystal beads (DMPCBs) is developed. This platform integrates multitype cell separation with in situ protein cleavage processes. Efficient simultaneous isolation of Kupffer cells and Liver Sinusoidal Endothelial cells (LSECs) from liver, with high specificity and convenient operation in a short separation time are demonstrated. The results reveal 2832 and 3442 unique proteins identified in Kupffer cells and LSECs using only 50 HDPCBs, respectively. 764 and 629 over-expressed proteins associated with the function of Kupffer cells and LSECs are found, respectively. The work offers a new method for efficiently isolating multiple cell types from tissues and downstream proteomic analysis, ultimately facilitating the identification of primary cell compositions and functions.
Keyphrases
- induced apoptosis
- single cell
- cell therapy
- cell cycle arrest
- endothelial cells
- gene expression
- adipose tissue
- type diabetes
- signaling pathway
- metabolic syndrome
- mesenchymal stem cells
- mass spectrometry
- high throughput
- skeletal muscle
- transcription factor
- solid state
- insulin resistance
- pi k akt
- metal organic framework
- dna binding
- glycemic control