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Series GSE253378 Query DataSets for GSE253378
Status Public on May 01, 2024
Title A spatial transcriptomics based Label-free Method for Assessment of Human Stem Cell Distribution and Effects in a Mouse Model of Lung Fibrosis
Organisms Homo sapiens; Mus musculus
Experiment type Other
Summary 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.
 
Overall design We administered human mesenchymal stem cells (hMSC) in a mouse model of lung fibrosis and presented a method for evaluating both the tissue-level distribution of the administered stem cells and their effect on treated tissue by using Visium Spatial Transcriptomics.
Web link https://doi.org/10.1002/adtp.202300283
 
Contributor(s) Park J, Lee D, Lee JE, Lee D, Song IH, Park HS, Choi H, Im H
Citation J Park, D Lee, J E Lee, D Lee, I H Song, H S Park, H Choi, and H-J Im. A Spatial Transcriptomics Based Label-Free Method for Assessment of Human Stem Cell Distribution and Effects in a Mouse Model of Lung Fibrosis. Adv Therap 2024, 7, 2300283. doi:10.1002/adtp.202300283
Submission date Jan 16, 2024
Last update date Aug 01, 2024
Contact name Jeongbin Park
E-mail(s) jeongbin.park@portrai.io
Phone 010-4071-6003
Organization name Seoul National University
Department Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea
Lab Translational Molecular Imaging and Theranostics Laboratory
Street address 23, Sinhyeon-ro 38beon-gil, Siheung-si, Gyeonggi-do, 14957, Rep. of KOREA
City Seoul
State/province Not US or Canada
ZIP/Postal code B14230324
Country South Korea
 
Platforms (2)
GPL21103 Illumina HiSeq 4000 (Mus musculus)
GPL25431 Illumina HiSeq 4000 (Homo sapiens; Mus musculus)
Samples (5)
GSM8019441 Nor
GSM8019442 Con
GSM8019443 Exp
Relations
BioProject PRJNA1065433

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE253378_RAW.tar 2.9 Gb (http)(custom) TAR (of TAR)
SRA Run SelectorHelp
Raw data are available in SRA

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