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Series GSE250346 Query DataSets for GSE250346
Status Public on Jun 04, 2024
Title Image-based spatial transcriptomics identifies molecular niche dysregulation associated with distal lung remodeling in pulmonary fibrosis [Xenium]
Organism Homo sapiens
Experiment type Other
Summary Pulmonary fibrosis (PF) is a chronic, progressive condition that represents the end-stage of many interstitial lung diseases (ILDs). Single-cell transcriptomic studies have revealed disease-emergent epithelial, fibroblast, and macrophage cell types/states in PF lungs, but the spatial contexts wherein these cells contribute to disease pathogenesis has remained uncertain. Using image-based spatial transcriptomics to profile gene expression changes in-situ across 28 lung samples from control and PF lungs, we characterized the expression of 343 genes in over 1 million nuclei at subcellular resolution. Using both cell-based and cell-agnostic approaches, we observed a diversity of distinct molecularly-defined spatial niches in control and PF lungs. Overlaying these computationally-defined niches with disease-associated histopathologic features, we identified novel patterns of dysregulation in alveoli informed by spatial context. We computationally segmented individual air spaces and using cell composition, we ordered airspaces from homeostatic to most dysregulated. Using this ordering we identified a series of stepwise molecular changes associated with progressive distal lung remodeling. Together, these results advance our understanding of the molecular programs underlying progressive PF.
 
Overall design To characterize the cellular and molecular architecture of the lung across health and disease, we generated a spatial transcriptomics dataset measuring the expression of 343 genes across 28 3-5 mm lung tissue cores from 6 unaffected (31.6%) and 13 PF (68.42%) donors using the 10X Genomics Xenium platform. To capture the regional heterogeneity of PF, we sampled paired sets of cores from more (MF) and less (LF) fibrotic regions of 9 individuals and larger biopsies encompassing a diversity of architectures of 3 individuals. Of the 13 PF patients, most were diagnosed with IPF (n = 7, 53.8%). The majority of donors self-reported European ancestry (78.9%), and 8 (42.1%) reported current or prior tobacco use.
 
Contributor(s) Vannan A, Lyu R, Williams AL, Negretti NM, Mee ED, Hirsh J, Hirsh S, Nichols DS, Taylor CJ, Polosukhin VV, McCall AS, Gokey JJ, Shim H, Ware LB, Bacchetta MJ, Shaver CM, Blackwell TS, Sucre JM, Kropski JA, McCarthy DJ, Banovich NE
Citation(s) 38168317, 39901013
Submission date Dec 15, 2023
Last update date Feb 18, 2025
Contact name Nicholas Banovich
E-mail(s) nbanovich@tgen.org
Phone 602-343-8432
Organization name TGen - Translational Genomics Research Institute
Department Integrated Cancer Genomics
Lab Banovich Lab
Street address 445 North Fifth Street
City Phoenix
State/province AZ
ZIP/Postal code 85004
Country USA
 
Platforms (1)
GPL33762 Xenium In Situ Analyzer: Human
Samples (45)
GSM7990532 THD0008_Control_TMA3-Run2_5mm
GSM7990533 THD0011_Control_TMA4-Run2_3mm
GSM7990534 TILD117_More-affected_TMA4-Run2_3mm
This SubSeries is part of SuperSeries:
GSE276945 Image-based spatial transcriptomics identifies molecular niche dysregulation associated with distal lung remodeling in pulmonary fibrosis
Relations
BioProject PRJNA1056041

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
GSE250346_20230317_Xen_IPFTMA1_0003817.svs.tif.gz 70.6 Mb (ftp)(http) TIFF
GSE250346_20230317_Xen_IPFTMA2_0003789.svs.tif.gz 50.0 Mb (ftp)(http) TIFF
GSE250346_20230317_Xen_IPFTMA3_0003392.svs.tif.gz 81.5 Mb (ftp)(http) TIFF
GSE250346_20230317_Xen_IPFTMA4_0003400.svs.tif.gz 61.7 Mb (ftp)(http) TIFF
GSE250346_20240522_Xen0024909_IPFTMA5.svs.tiff.gz 210.9 Mb (ftp)(http) TIFF
GSE250346_HE_TMA_sample_placements.txt.gz 319 b (ftp)(http) TXT
GSE250346_HE_annotations.tar.gz 27.0 Mb (ftp)(http) TAR
GSE250346_RAW.tar 120.3 Gb (http)(custom) TAR (of CSV, NPY, TAR, TIFF)
GSE250346_RDS_README.txt 1.8 Kb (ftp)(http) TXT
GSE250346_README.txt 1.9 Kb (ftp)(http) TXT
GSE250346_Seurat_GSE250346_CORRECTED_SEE_RDS_README_082024.rds 955.8 Mb (ftp)(http) RDS
GSE250346_output-XETG00048__0003789__VUILD104MAVUILD48LA1VUILD105MA1__20230308__003731.tar.gz 6.1 Gb (ftp)(http) TAR

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