.png){kind=icon}
Return
Spatial Transcriptomics: Emerging Technologies in Tissue Gene Expression Profiling
.png){kind=icon}
OA
AI
DOI：10.1021/acs.analchem.3c02029.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In this Perspective, we discuss the current status and advances in spatial transcriptomics technologies, which allow high-resolution mapping of gene expression in intact cell and tissue samples. Spatial transcriptomics enables the creation of high-resolution maps of gene expression patterns within their native spatial context, adding an extra layer of information to the bulk sequencing data. Spatial transcriptomics has expanded significantly in recent years and is making a notable impact on a range of fields, including tissue architecture, developmental biology, cancer, and neurodegenerative and infectious diseases. The latest advancements in spatial transcriptomics have resulted in the development of highly multiplexed methods, transcriptomic-wide analysis, and single-cell resolution utilizing diverse technological approaches. In this Perspective, we provide a detailed analysis of the molecular foundations behind the main spatial transcriptomics technologies, including methods based on microdissection, in situ sequencing, single-molecule FISH, spatial capturing, selection of regions of interest, and single-cell or nuclei dissociation. We contextualize the detection and capturing efficiency, strengths, limitations, tissue compatibility, and applications of these techniques as well as provide information on data analysis. In addition, this Perspective discusses future directions and potential applications of spatial transcriptomics, highlighting the importance of the continued development to promote widespread adoption of these techniques within the research community.
Keywords:
RNA-ANALYSIS
VISUALIZATION
HYBRIDIZATION
ATLAS
CELLS
SEQ
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
6.7
Papers:
4.7W
Citations:
15.9W
Organization
Cited Papers
ShareSaveHybridization-based in situ sequencing (HybISS) for spatially resolved transcriptomics in human and mouse brain tissue.png)
NUCLEIC ACIDS RESEARCHOAAI
NUCLEIC ACIDS RESEARCHIF13.1
OAAIShareSave
ShareSaveLocalization of Tamm-Horsfall Glycoprotein in the Fetal and Neonatal Hamster Kidney as Demonstrated by Immunofluorescence and Immunoelectron Microscopical TechniquesNeonatology
NeonatologyIF0
PREAI
ShareSaveShareSaveBarcoded oligonucleotides ligated on RNA amplified for multiplexed and parallel in situ analysesNUCLEIC ACIDS RESEARCHOAAI
NUCLEIC ACIDS RESEARCHIF13.1
OAAIShareSaveShareSave
View more