Bioactive Polymeric Metallosomes Self-Assembled through Block Copolymer–Metal Complexation

Spontaneous formation of polymeric metallosomes with uniform size (∼100 nm) was found to occur in aqueous medium through the reaction of an anticancer agent, (1,2-diaminocyclohexane)­platinum­(II) (DACHPt), with a Y-shaped block copolymer of ω-cholesteroyl-poly­(l-glutamic acid) and two-armed poly­(ethylene glycol) (PEGasus-PLGA-Chole). Circular dichroism spectrum measurements revealed that the PLGA segment forms an α-helix structure within the metallosomes, suggesting that secondary-structure formation of metallocomplexed PLGA segment may drive the self-assembly of the system into vesicular structure. These metallosomes can encapsulate water-soluble fluorescent macromolecules into their inner aqueous phase and eventually deliver them selectively into tumor tissues in mice, owing to the prolonged blood circulation. Accordingly, fluorescent imaging of the tumor was successfully demonstrated along with an appreciable antitumor activity by DACHPt moieties retained in the vesicular wall of the metallosomes, indicating the potential of metallosomes as multifunctional drug carriers

Single-cell DNA and RNA sequencing reveals the dynamics of intra-tumor heterogeneity in a colorectal cancer model

Single Cell Transcripts Bulk T3Data List:https://figshare.com/articles/dataset/Single_Cell/14518056</div

Single-cell DNA and RNA sequencing reveals the dynamics of intra-tumor heterogeneity in a colorectal cancer model

Single Cell Transcripts Bulk T2Data List:https://figshare.com/articles/dataset/Single_Cell/14518056</div

Additional file 1 of Single-cell DNA and RNA sequencing reveals the dynamics of intra-tumor heterogeneity in a colorectal cancer model

Additional file 1: Figure S1. Aberrations in known cancer-related genes. Figure S2. Quality control check of single-cell transcriptome sequencing data. Figure S3. cCV and highly variable genes. Figure S4. Determination of gene and cell groups in single-cell RNA sequencing. Figure S5. Violin plots of the expression levels of the marker genes. Figure S6. Quality control check of single-cell exome sequencing data. Figure S7. Association with hypermutation type based on human cancer counterpart to our mouse model. Figure S8. Associations with histological type and microsatellite instability based on human cancer counterpart to our mouse model. Figure S9. Schematic representation of the culture experiment. Figure S10. Procedure for calculating expression levels and for calling SNVs in single-cell sequencing

Single-cell DNA and RNA sequencing reveals the dynamics of intra-tumor heterogeneity in a colorectal cancer model

Single Cell Transcripts T3Data List:https://figshare.com/articles/dataset/Single_Cell/14518056</div

Single-cell DNA and RNA sequencing reveals the dynamics of intra-tumor heterogeneity in a colorectal cancer model

Single Cell Exome Bulk NormalData List:https://figshare.com/articles/dataset/Single_Cell/14518056</div

Single-cell DNA and RNA sequencing reveals the dynamics of intra-tumor heterogeneity in a colorectal cancer model

Single Cell Exome Bulk T3Data List:https://figshare.com/articles/dataset/Single_Cell/14518056</div

Single-cell DNA and RNA sequencing reveals the dynamics of intra-tumor heterogeneity in a colorectal cancer model

Single Cell Exome Bulk T1Data List:https://figshare.com/articles/dataset/Single_Cell/14518056</div

Single-cell DNA and RNA sequencing reveals the dynamics of intra-tumor heterogeneity in a colorectal cancer model

Single Cell Exome T1Data List:https://figshare.com/articles/dataset/Single_Cell/14518056</div

Single-cell DNA and RNA sequencing reveals the dynamics of intra-tumor heterogeneity in a colorectal cancer model

Single Cell Transcripts Bulk Normal2Data List:https://figshare.com/articles/dataset/Single_Cell/14518056</div