Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Spatial Transcriptomics-based Identification of Molecular Markers for Nanomedicine Distribution in Tumor Tissue

ABSTRACT: To elucidate the factors that determine nanomedicine tumor uptake, we developed a molecular marker identification platform by integrating microscopic fluorescence images of nanomedicine distribution with spatial transcriptomics (ST) information. When this approach is applied to PEGylated liposomes, molecular markers related to hypoxia, glucose metabolism and apoptosis can be identified as being related to the intratumoral distribution of the nanomedicine. We expect that our method can be applied to explain the distribution of a wide range of nanomedicines, and furthermore, the data obtained from this analysis can be used in precise utilization of the nanomedicine.

ORGANISM(S): Mus musculus

PROVIDER: GSE196506 | GEO | 2024/08/04

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Phosphoproteomics of PDT treated SK-ChA-1 cells

Project description:(Phospho)proteomic study of the cell survival pathways induced by ZnPC-encapsulating PEGylated cationic liposomes (ZPCLs) in SK-ChA-1 cells.

2018-10-27 | PXD004320 | Pride

Spatial Transcriptomics-based Identification of Molecular Markers for Nanomedicine Distribution in Tumor Tissue

Project description:Spatial Transcriptomics-based Identification of Molecular Markers for Nanomedicine Distribution in Tumor Tissue

| PRJNA805228 | ENA

Mass spectrometry-based top-down proteomics in nanomedicine: proteoform-specific measurement of protein corona

Project description:Conventional mass spectrometry (MS)-based bottom-up proteomics (BUP) analysis of protein corona [i.e., an evolving layer of biomolecules, mostly proteins, formed on the surface of nanoparticles (NPs) during their interactions with biomolecular fluids] enabled nanomedicine community to partly identify the biological identity of NPs. Such an approach, however, fails pinpoint the specific proteoforms—distinct molecular variants of proteins, which is essential for prediction of the biological fate and pharmacokinetics of nanomedicines. Recognizing this limitation, this study pioneers a robust and reproducible MS-based top-down proteomics (TDP) technique for precisely characterizing proteoforms in the protein corona. Our TDP approach has successfully identified hundreds of proteoforms in the protein corona of polystyrene NPs, ranging from 3-70 kDa, revealing over 20 protein biomarkers with combinations of post-translational modifications, signal peptide cleavages, and/or truncations—details that BUP could not fully discern. This advancement in MS-based TDP offers a more comprehensive and exact characterization of NP protein coronas, deepening our understanding of NPs' biological identities and potentially revolutionizing the field of nanomedicine.

2024-10-15 | PXD050779 | Pride

Kinixys lobatsiana distribution

Project description:Kinixys lobatsiana distribution

| PRJEB36321 | ENA

Kinixys spekii distribution

Project description:Kinixys spekii distribution

| PRJEB34616 | ENA

Distribution center

Project description:Distribution center Targeted loci environmental

| PRJNA841648 | ENA

A spatial transcriptomics based Label-free Method for Assessment of Human Stem Cell Distribution and Effects in a Mouse Model of Lung Fibrosis

Project description:Recently, cell therapy has emerged as a promising treatment option for various disorders. Given the intricate mechanisms of action (MOA) and heterogenous distribution in target tissues inherent to cell therapy, it is necessary to develop more sophisticated, unbiased approaches to evaluate the distribution of administered cells and the molecular changes at a microscopic level. This study introduces a label-free approach for assessing the tissue distribution of administered human mesenchymal stem cells (hMSCs) and their MOA, leveraging spatially resolved transcriptomics (ST) analysis. The hMSCs were introduced into a mouse model with lung fibrosis, followed by the manipulation of ST to visualize the spatial distribution of hMSCs within the tissue. This was achieved by capitalizing on interspecies transcript differences between human and mouse. Furthermore, the method allowed for the examination of molecular changes associated with the spatial distribution of hMSCs. Therefore, our method has the potential to serve as an effective tool for various cell-based therapeutic agents.

2024-05-01 | GSE253378 | GEO

Cyclodextrin-derived Nano-medicine Suppresses the Progression of Colorectal Cancer

Project description:The malignancy of colorectal cancer is connected with inflammation, which poses great therapeutic challenges. To integratetherapeutic targets with anti-inflammation strategy, wedeveloped a biocompatible, non-covalent channel-type nanoparticles that was fabricated through host-guest complexation and multiple assemble of mannose-modified ?-cyclodextrin (M-?-CD) with Regorafenib (RG), denoted as RG@M-?-CD. For in vivo application, the channel-type formulation optimized the pharmacokinetics and bio-distribution of RG. In colitis-associated cancer (CAC) and CT26 models, RG@M-?-CD was proven to be a targeted, safe and effective anti-tumor nanomedicine that suppressed tumor cells proliferation, lesioned neovascularization, and attanuated inflammation. To investigate the therapeutic mechanism of RG@M-?-CD nanomedicine, small pieces of colon tissue with tumors from control group and treatment group were used to perform the microarray for gene expression anaylsis. The RGnanomedicine is constructed through the host-guest assemble between mannose-modified ?-cyclodextrin (M-?-CD) and TKI Regorafenib (RG). With multiple assemble, the host-guest system is transformed into nanoparticle, denoted as RG@M-?-CD (or RG nanomedicine).

2020-09-24 | GSE157993 | GEO

Chloraminated water distribution system

Project description:Chloraminated water distribution system Metagenome

| PRJNA607678 | ENA

Recycled water distribution system

Project description:Recycled water distribution system Metagenome

| PRJNA550289 | ENA