Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Brain Spatial Genomics Atlases

View through CrossRef
Recent advances in single-cell RNA sequencing (scRNA-seq) have transformed neuroscience research by enabling the identification of genes, cell types, and molecular pathways involved in brain development and function. However, scRNA-seq lacks spatial information regarding the anatomic location of gene expression. Emerging spatial genomics technologies, including MERFISH, CosMx, Stereo-seq, and Visium Spatial Gene Expression overcome this limitation by enabling transcriptomic and epigenomic profiling within intact tissue architecture. Integration of spatial genomics with scRNA-seq has revolutionized genomics and biomedical research by allowing gene expression to be mapped in situ at cellular and even subcellular resolution. These advances have facilitated the construction of brain spatial genomics atlases in several species, including mouse, human, non-human primate, and zebrafish. Spatial genomics technologies are particularly valuable for defining cellular heterogeneity across brain regions and characterizing the spatial organization of neuronal circuits when integrated with single-cell sequencing approaches. These reference atlases provide powerful resources for investigating brain development, function and disease, and for identifying region-specific molecular signatures associated with neurological disorders. Here, we review currently available brain spatial genomics atlases and the spatial genomics technologies used to generate these reference resources.
Title: Brain Spatial Genomics Atlases
Description:
Recent advances in single-cell RNA sequencing (scRNA-seq) have transformed neuroscience research by enabling the identification of genes, cell types, and molecular pathways involved in brain development and function.
However, scRNA-seq lacks spatial information regarding the anatomic location of gene expression.
Emerging spatial genomics technologies, including MERFISH, CosMx, Stereo-seq, and Visium Spatial Gene Expression overcome this limitation by enabling transcriptomic and epigenomic profiling within intact tissue architecture.
Integration of spatial genomics with scRNA-seq has revolutionized genomics and biomedical research by allowing gene expression to be mapped in situ at cellular and even subcellular resolution.
These advances have facilitated the construction of brain spatial genomics atlases in several species, including mouse, human, non-human primate, and zebrafish.
Spatial genomics technologies are particularly valuable for defining cellular heterogeneity across brain regions and characterizing the spatial organization of neuronal circuits when integrated with single-cell sequencing approaches.
These reference atlases provide powerful resources for investigating brain development, function and disease, and for identifying region-specific molecular signatures associated with neurological disorders.
Here, we review currently available brain spatial genomics atlases and the spatial genomics technologies used to generate these reference resources.

Related Results

Brain Organoids, the Path Forward?
Brain Organoids, the Path Forward?
Photo by Maxim Berg on Unsplash INTRODUCTION The brain is one of the most foundational parts of being human, and we are still learning about what makes humans unique. Advancements ...
[RETRACTED] Gro-X Brain Reviews - Is Gro-X Brain A Scam? v1
[RETRACTED] Gro-X Brain Reviews - Is Gro-X Brain A Scam? v1
[RETRACTED]➢Item Name - Gro-X Brain➢ Creation - Natural Organic Compound➢ Incidental Effects - NA➢ Accessibility - Online➢ Rating - ⭐⭐⭐⭐⭐➢ Click Here To Visit - Official Website - ...
Parcellation of Brain Magnetic Resonance Images using Improved Atlases Selection Model
Parcellation of Brain Magnetic Resonance Images using Improved Atlases Selection Model
Introduction: Multiple atlas-based parcellation model has been demonstrated to perform better than single atlas-based parcellation model in terms of accuracy of the parcellation of...
Atlases: Complex models of geospace
Atlases: Complex models of geospace
Atlas is modeled contexture contents of treated thematic of space on optimal map union. Atlases are higher form of cartography. Atlases content composition of maps which are differ...
Validity of Food Atlases as Portion-Size Estimation Aids in Dietary Assessment: A Scoping Review
Validity of Food Atlases as Portion-Size Estimation Aids in Dietary Assessment: A Scoping Review
Abstract Accurate portion-size estimation is a key element of practical dietary assessment. Food atlases, visual representations of various portion sizes, have be...
Automatic labeling of MR brain images through extensible learning and atlas forests
Automatic labeling of MR brain images through extensible learning and atlas forests
PurposeMultiatlas‐based method is extensively used in MR brain images segmentation because of its simplicity and robustness. This method provides excellent accuracy although it is ...
Genomics and society: four scenarios for 2015
Genomics and society: four scenarios for 2015
This paper develops four alternative scenarios depicting possible futures for genomics applications within a broader social context. The scenarios integrate forecasts for future ge...
Brain Anatomy
Brain Anatomy
The human brain is one of the important organs in the human body. It is the most complex of all organs. The brain is an organ composed of billions of nerve cells. It has parts of t...

Back to Top