Genome-wide Spatial Expression Profiling in Formalin-fixed Tissues
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="doi-10.1016/j.xgen.2021.100065")
coll.ordered_artifacts.df() # the 15 members, ordered
# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()]
# …or load each straight into memory as a SpatialData object:
sdatas = {a.key: sd.read_zarr(a.cache()) for a in coll.ordered_artifacts.all()} Genome-wide spatial expression profiling in formalin-fixed tissues.
Formalin-fixed paraffin embedding (FFPE) is the most widespread long-term tissue preservation approach. Here, we report a procedure to perform genome-wide spatial analysis of mRNA in FFPE-fixed tissue sections, using well-established, commercially available methods for imaging and spatial barcoding using slides spotted with barcoded oligo(dT) probes to capture the 3' end of mRNA molecules in tissue sections. We applied this method for expression profiling and cell type mapping in coronal sections from the mouse brain to demonstrate the method's capability to delineate anatomical regions from a molecular perspective. We also profiled the spatial composition of transcriptomic signatures in two ovarian carcinosarcoma samples, exemplifying the method's potential to elucidate molecular mechanisms in heterogeneous clinical samples. Finally, we demonstrate the applicability of the assay to characterize human lung and kidney organoids and a human lung biopsy specimen infected with SARS-CoV-2. We anticipate that genome-wide spatial gene expression profiling in FFPE biospecimens will be used for retrospective analysis of biobank samples, which will facilitate longitudinal studies of biological processes and biomarker discovery.
Cite this collection
doi.org/10.1016/j.xgen.2021.100065 ↗@article{Gracia_Villacampa_2021,
title = {Genome-wide spatial expression profiling in formalin-fixed tissues},
volume = {1},
ISSN = {2666-979X},
url = {http://dx.doi.org/10.1016/j.xgen.2021.100065},
DOI = {10.1016/j.xgen.2021.100065},
number = {3},
journal = {Cell Genomics},
publisher = {Elsevier BV},
author = {Gracia Villacampa, Eva and Larsson, Ludvig and Mirzazadeh, Reza and Kvastad, Linda and Andersson, Alma and Mollbrink, Annelie and Kokaraki, Georgia and Monteil, Vanessa and Schultz, Niklas and Appelberg, Karin Sofia and Montserrat, Nuria and Zhang, Haibo and Penninger, Josef M. and Miesbach, Wolfgang and Mirazimi, Ali and Carlson, Joseph and Lundeberg, Joakim},
year = {2021},
month = Dec,
pages = {100065}
}