Radial glia and radial glia-like cells: Their role in neurogenesis and regeneration DOI Creative Commons
Yamil Miranda-Negrón, José E. García‐Arrarás

Frontiers in Neuroscience, Journal Year: 2022, Volume and Issue: 16

Published: Nov. 16, 2022

Radial glia is a cell type traditionally associated with the developing nervous system, particularly formation of cortical layers in mammalian brain. Nonetheless, some these cells, or closely related types, called radial glia-like cells are found adult central system structures, functioning as neurogenic progenitors normal homeostatic maintenance and response to injury. The heterogeneity nowadays being probed molecular tools, primarily by expression specific genes that define types. Similar markers have identified non-vertebrate organisms. In this review, we focus on processes during homeostasis We highlight our results using model echinoderm

Language: Английский

DeST-OT: Alignment of spatiotemporal transcriptomics data DOI

Peter Halmos,

Xinhao Liu, Julian Gold

et al.

Cell Systems, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

2

Spatial Transcriptomics: Technical Aspects of Recent Developments and Their Applications in Neuroscience and Cancer Research DOI Creative Commons
Han‐Eol Park,

Song Hyun Jo,

Rosalind H. Lee

et al.

Advanced Science, Journal Year: 2023, Volume and Issue: 10(16)

Published: April 7, 2023

Spatial transcriptomics is a newly emerging field that enables high-throughput investigation of the spatial localization transcripts and related analyses in various applications for biological systems. By transitioning from conventional studies to "in situ" biology, can provide transcriptome-scale information. Currently, ability simultaneously characterize gene expression profiles cells relevant cellular environment paradigm shift studies. In this review, recent progress its neuroscience cancer are highlighted. Technical aspects existing technologies future directions new developments (as March 2023), computational analysis transcriptome data, application notes studies, discussions regarding multi-omics their expanding roles biomedical emphasized.

Language: Английский

Citations

39

Spatial Transcriptomic Technologies DOI Creative Commons
Tsai-Ying Chen, Li You, José A. Hardillo

et al.

Cells, Journal Year: 2023, Volume and Issue: 12(16), P. 2042 - 2042

Published: Aug. 10, 2023

Spatial transcriptomic technologies enable measurement of expression levels genes systematically throughout tissue space, deepening our understanding cellular organizations and interactions within tissues as well illuminating biological insights in neuroscience, developmental biology a range diseases, including cancer. A variety spatial have been developed and/or commercialized, differing resolution, sensitivity, multiplexing capability, throughput coverage. In this paper, we review key enabling their applications the perspective techniques new emerging that are to address current limitations methodologies. addition, describe how transcriptomics data can be integrated with other omics modalities, complementing methods deciphering cellar phenotypes providing novel insight into organization.

Language: Английский

Citations

34

Mechanisms of kidney fibrosis and routes towards therapy DOI
N. Yamashita, Rafael Kramann

Trends in Endocrinology and Metabolism, Journal Year: 2023, Volume and Issue: 35(1), P. 31 - 48

Published: Sept. 28, 2023

Language: Английский

Citations

32

Spatial transcriptomics drives a new era in plant research DOI Creative Commons

Ruilian Yin,

Keke Xia, Xun Xu

et al.

The Plant Journal, Journal Year: 2023, Volume and Issue: 116(6), P. 1571 - 1581

Published: Aug. 31, 2023

SUMMARY The plant community lags far behind the animal and human fields concerning application of single‐cell methodologies. This is primarily due to challenges associated with tissue dissection limitations available technologies. However, recent advances in spatial transcriptomics enable study single‐cells derived from tissues a perspective. technology already successfully used identify cell types, reconstruct cell‐fate lineages, reveal cell‐to‐cell interactions. Future technological advancements will overcome sample processing, data analysis, integration multiple‐omics Thanks transcriptomics, we anticipate several research projects significantly advance our understanding critical aspects biology.

Language: Английский

Citations

31

A lamprey neural cell type atlas illuminates the origins of the vertebrate brain DOI Creative Commons
Francesco Lamanna, Francisca Hervas-Sotomayor, A. Phillip Oel

et al.

Nature Ecology & Evolution, Journal Year: 2023, Volume and Issue: 7(10), P. 1714 - 1728

Published: Sept. 14, 2023

Abstract The vertebrate brain emerged more than ~500 million years ago in common evolutionary ancestors. To systematically trace its cellular and molecular origins, we established a spatially resolved cell type atlas of the entire sea lamprey—a jawless species whose phylogenetic position affords reconstruction ancestral traits—based on extensive single-cell RNA-seq situ sequencing data. Comparisons this to neural data from mouse other jawed vertebrates unveiled various shared features that enabled types, tissue structures gene expression programs brain. However, our analyses also revealed key tissues types arose later evolution. For example, was probably devoid cerebellar oligodendrocytes (myelinating cells); suggest latter astrocyte-like precursors lineage. Altogether, work illuminates architecture provides foundation for exploring diversification during

Language: Английский

Citations

28

Spatial transcriptomics in neuroscience DOI Creative Commons
Namyoung Jung, Tae-Kyung Kim

Experimental & Molecular Medicine, Journal Year: 2023, Volume and Issue: 55(10), P. 2105 - 2115

Published: Oct. 2, 2023

Abstract The brain is one of the most complex living tissue types and composed an exceptional diversity cell displaying unique functional connectivity. Single-cell RNA sequencing (scRNA-seq) can be used to efficiently map molecular identities various in by providing transcriptomic profiles individual cells isolated from tissue. However, lack spatial context scRNA-seq prevents a comprehensive understanding how different configurations give rise specific functions regions each distinct connected form unit. To understand contribute functions, it crucial correlate obtained through with their information intact Spatial transcriptomics (ST) resolve organization Various ST tools developed during past decade based on imaging technology have permitted creation atlases pulled properties neural circuits into ever-sharper focus. In this review, we present summary several applications neuroscience discuss unprecedented insights these made possible.

Language: Английский

Citations

27

Spatial transcriptomic landscape unveils immunoglobin-associated senescence as a hallmark of aging DOI
Shuai Ma,

Zhejun Ji,

Bin Zhang

et al.

Cell, Journal Year: 2024, Volume and Issue: 187(24), P. 7025 - 7044.e34

Published: Nov. 1, 2024

Language: Английский

Citations

13

A spatial transcriptome map of the developing maize ear DOI
Yuebin Wang, Yun Luo, Xing Guo

et al.

Nature Plants, Journal Year: 2024, Volume and Issue: 10(5), P. 815 - 827

Published: May 14, 2024

Language: Английский

Citations

12

Custom microfluidic chip design enables cost-effective three-dimensional spatiotemporal transcriptomics with a wide field of view DOI Creative Commons
Junjie Zhu, Kun Pang, Beiyu Hu

et al.

Nature Genetics, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 10, 2024

Language: Английский

Citations

12