Live briefing
Everything about Spatial transcriptomics
Range of methods designed for assigning cell types
Spatial transcriptomics, or spatially resolved transcriptomics, is a method that captures positional context of transcriptional activity within intact tissue. The historical precursor to spatial transcriptomics is in situ hybridization, where the modernized omics terminology refers to the measurement of all the mRNA in a cell rather than select RNA targets. It comprises an important part of spatial biology. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Spatial transcriptomicsA 5-minute orientation
- Skim a recent paper: Cell2location maps fine-grained cell types in spatial transcriptomicsInfluential work since 2022
- Pick up a classic book: Stem cell transcriptional networksThe most-reprinted book on the subject
- Read the landmark paper: Visualization and analysis of gene expression in tissue sections by spatial transcriptomicsCited 4,084 times
- Go sideways: Deterministic Barcoding in Tissue for Spatial Omics SequencingA closely related topic
- Go sideways: ATAC-seqA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Visualization and analysis of gene expression in tissue sections by spatial transcriptomics
Exploring tissue architecture using spatial transcriptomics
Museum of spatial transcriptomics
The expanding vistas of spatial transcriptomics
Spatial transcriptomics coming of age
Spatial transcriptomics in health and disease
Dissecting mammalian spermatogenesis using spatial transcriptomics
Computational solutions for spatial transcriptomics
🆕 Influential since 2022
Cell2location maps fine-grained cell types in spatial transcriptomics
A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain
An introduction to spatial transcriptomics for biomedical research
Deciphering spatial domains from spatially resolved transcriptomics with an adaptive graph attention auto-encoder
Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST
📚 Books worth reading
- 📕Stem cell transcriptional networksBenjamin L. Kidder · 2014
- 📕Cutting Edge Artificial Intelligence, Spatial Transcriptomics and Proteomics Approaches to Analyze CancerKenneth D. Tew, Paul B. Fisher · 2024
Organelle proteomicsDelphine Pflieger, Jean Rossier · 2008- 📕YersiniaElisabeth Carniel, Bernard Joseph Hinnebusch · 2012
Mycorrhizas · 2009- 📕MycorrhizasConcepción Azcón-Aguilar, Silvio Gianinazzi · 2009
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Deterministic Barcoding in Tissue for Spatial Omics Sequencing Deterministic Barcoding in Tissue for Spatial Omics Sequencing (DBiT-seq) was developed at Yale University by Rong Fan and colleagues in 2020 to create…
- ATAC-seq ATAC-seq (Assay for Transposase-Accessible Chromatin using sequencing) is a laboratory technique used in molecular biology to assess genome-wide chromatin…
- Spatial DNA methylation profiling Spatial DNA methylation profiling refers to technologies that combine the measurements of DNA methylation and the spatial information of cells. These experiment…
- Single-cell sequencing Single-cell sequencing examines the nucleic acid sequence information from individual cells with optimized next-generation sequencing technologies, providing…
- Transcriptomics technologies Transcriptomics technologies are the techniques used to study an organism's transcriptome, the sum of all of its RNA transcripts. The information content…
- Drop-Seq Drop-Seq is a high-throughput, single-cell RNA sequencing (scRNA-seq) technology used to analyze the mRNA expression of thousands of individual cells by…
- Spatial biology Spatial biology is the field of biology that visualizes the spatial organization of biomolecules in tissues.The term "spatial biology" is mostly used in…
- CITE-Seq CITE-Seq (Cellular Indexing of Transcriptomes and Epitopes by Sequencing) is a method for performing RNA sequencing along with gaining quantitative and…