Collections / Spatial Total RNA-Sequencing of regenerating mouse hindlimb muscle and Type 1-Lang reovirus-infected mouse heart

Spatial Total RNA-Sequencing of regenerating mouse hindlimb muscle and Type 1-Lang reovirus-infected mouse heart

Datasets7
Size~3.3 GB
AssayVisium
Samplemouse · skeletal muscle tissue
KindComparison
10.1038/s41587-022-01517-6 ↗
Python · lamindb
import lamindb as ln
import spatialdata as sd

coll = ln.Collection.get(key="doi-10.1038/s41587-022-01517-6")
coll.ordered_artifacts.df()                 # the 7 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()}

Spatial mapping of the total transcriptome by in situ polyadenylation.

Spatial transcriptomics reveals the spatial context of gene expression, but current methods are limited to assaying polyadenylated (A-tailed) RNA transcripts. Here we demonstrate that enzymatic in situ polyadenylation of RNA enables detection of the full spectrum of RNAs, expanding the scope of sequencing-based spatial transcriptomics to the total transcriptome. We demonstrate that our spatial total RNA-sequencing (STRS) approach captures coding RNAs, noncoding RNAs and viral RNAs. We apply STRS to study skeletal muscle regeneration and viral-induced myocarditis. Our analyses reveal the spatial patterns of noncoding RNA expression with near-cellular resolution, identify spatially defined expression of noncoding transcripts in skeletal muscle regeneration and highlight host transcriptional responses associated with local viral RNA abundance. STRS requires adding only one step to the widely used Visium spatial total RNA-sequencing protocol from 10x Genomics, and thus could be easily adopted to enable new insights into spatial gene regulation and biology.

Open in Vitessce
Visium
Mouse skeletal muscle tissue
NCBI646
mouse skeletal muscle tissue 487 MB 4,992 obs bronze H&E
TechnologyVisium
Organismmouse
Tissueskeletal muscle tissue
Size487 MB
Obs4,992
Magnification20x · 0.565 µm/px
bronze H&E Open in Vitessce
Open in Vitessce
Visium
Mouse skeletal muscle tissue
NCBI652
mouse skeletal muscle tissue 463 MB 4,992 obs bronze H&E
TechnologyVisium
Organismmouse
Tissueskeletal muscle tissue
Size463 MB
Obs4,992
Magnification20x · 0.562 µm/px
bronze H&E Open in Vitessce
Open in Vitessce
Visium
Mouse skeletal muscle tissue
NCBI648
mouse skeletal muscle tissue 523 MB 4,992 obs bronze H&E
TechnologyVisium
Organismmouse
Tissueskeletal muscle tissue
Size523 MB
Obs4,992
Magnification20x · 0.563 µm/px
bronze H&E Open in Vitessce
Open in Vitessce
Visium
Mouse skeletal muscle tissue
NCBI647
mouse skeletal muscle tissue 488 MB 4,992 obs bronze H&E
TechnologyVisium
Organismmouse
Tissueskeletal muscle tissue
Size488 MB
Obs4,992
Magnification20x · 0.564 µm/px
bronze H&E Open in Vitessce
Open in Vitessce
Visium
Mouse skeletal muscle tissue
NCBI651
mouse skeletal muscle tissue 469 MB 4,992 obs bronze H&E
TechnologyVisium
Organismmouse
Tissueskeletal muscle tissue
Size469 MB
Obs4,992
Magnification20x · 0.562 µm/px
bronze H&E Open in Vitessce
Open in Vitessce
Visium
Mouse skeletal muscle tissue
NCBI650
mouse skeletal muscle tissue 485 MB 4,992 obs bronze H&E
TechnologyVisium
Organismmouse
Tissueskeletal muscle tissue
Size485 MB
Obs4,992
Magnification20x · 0.563 µm/px
bronze H&E Open in Vitessce
Open in Vitessce
Visium
Mouse skeletal muscle tissue
NCBI649
mouse skeletal muscle tissue 511 MB 4,992 obs bronze H&E
TechnologyVisium
Organismmouse
Tissueskeletal muscle tissue
Size511 MB
Obs4,992
Magnification20x · 0.563 µm/px
bronze H&E Open in Vitessce

Cite this collection

doi.org/10.1038/s41587-022-01517-6 ↗
BibTeX
@article{McKellar_2022,
  title = {Spatial mapping of the total transcriptome by in situ polyadenylation},
  volume = {41},
  ISSN = {1546-1696},
  url = {http://dx.doi.org/10.1038/s41587-022-01517-6},
  DOI = {10.1038/s41587-022-01517-6},
  number = {4},
  journal = {Nature Biotechnology},
  publisher = {Springer Science and Business Media LLC},
  author = {McKellar, David W. and Mantri, Madhav and Hinchman, Meleana M. and Parker, John S. L. and Sethupathy, Praveen and Cosgrove, Benjamin D. and De Vlaminck, Iwijn},
  year = {2022},
  month = Nov,
  pages = {513–520}
}