Spatially resolved transcriptomics adds a new dimension to genomics
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Spatially resolved transcriptomics adds a new dimension to genomics
Authors
Keywords
-
Journal
NATURE METHODS
Volume 18, Issue 1, Pages 15-18
Publisher
Springer Science and Business Media LLC
Online
2021-01-07
DOI
10.1038/s41592-020-01038-7
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Integrating microarray-based spatial transcriptomics and single-cell RNA-seq reveals tissue architecture in pancreatic ductal adenocarcinomas
- (2020) Reuben Moncada et al. NATURE BIOTECHNOLOGY
- CellPhoneDB: inferring cell–cell communication from combined expression of multi-subunit ligand–receptor complexes
- (2020) Mirjana Efremova et al. Nature Protocols
- Seamless integration of image and molecular analysis for spatial transcriptomics workflows
- (2020) Joseph Bergenstråhle et al. BMC GENOMICS
- Spatial Transcriptomics and In Situ Sequencing to Study Alzheimer’s Disease
- (2020) Wei-Ting Chen et al. CELL
- High throughput error corrected Nanopore single cell transcriptome sequencing
- (2020) Kevin Lebrigand et al. Nature Communications
- Molecular atlas of the adult mouse brain
- (2020) Cantin Ortiz et al. Science Advances
- Integrating spatial gene expression and breast tumour morphology via deep learning
- (2020) Bryan He et al. Nature Biomedical Engineering
- Multimodal Analysis of Composition and Spatial Architecture in Human Squamous Cell Carcinoma
- (2020) Andrew L. Ji et al. CELL
- Single-cell and spatial transcriptomics enables probabilistic inference of cell type topography
- (2020) Alma Andersson et al. Communications Biology
- High-Spatial-Resolution Multi-Omics Sequencing via Deterministic Barcoding in Tissue
- (2020) Yang Liu et al. CELL
- Highly sensitive spatial transcriptomics at near-cellular resolution with Slide-seqV2
- (2020) Robert R. Stickels et al. NATURE BIOTECHNOLOGY
- Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution
- (2019) Samuel G. Rodriques et al. SCIENCE
- Spatiotemporal dynamics of molecular pathology in amyotrophic lateral sclerosis
- (2019) Silas Maniatis et al. SCIENCE
- Comprehensive Integration of Single-Cell Data
- (2019) Tim Stuart et al. CELL
- High-definition spatial transcriptomics for in situ tissue profiling
- (2019) Sanja Vickovic et al. NATURE METHODS
- Toward a Common Coordinate Framework for the Human Body
- (2019) Jennifer E. Rood et al. CELL
- A Spatiotemporal Organ-Wide Gene Expression and Cell Atlas of the Developing Human Heart
- (2019) Michaela Asp et al. CELL
- NicheNet: modeling intercellular communication by linking ligands to target genes
- (2019) Robin Browaeys et al. NATURE METHODS
- Spatial maps of prostate cancer transcriptomes reveal an unexplored landscape of heterogeneity
- (2018) Emelie Berglund et al. Nature Communications
- Visualization and analysis of gene expression in tissue sections by spatial transcriptomics
- (2016) P. L. Stahl et al. SCIENCE
- In situ sequencing for RNA analysis in preserved tissue and cells
- (2013) Rongqin Ke et al. NATURE METHODS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now