Literature DB >> 28983044

The promise of spatial transcriptomics for neuroscience in the era of molecular cell typing.

Ed Lein1, Lars E Borm2,3, Sten Linnarsson4,3.   

Abstract

The stereotyped spatial architecture of the brain is both beautiful and fundamentally related to its function, extending from gross morphology to individual neuron types, where soma position, dendritic architecture, and axonal projections determine their roles in functional circuitry. Our understanding of the cell types that make up the brain is rapidly accelerating, driven in particular by recent advances in single-cell transcriptomics. However, understanding brain function, development, and disease will require linking molecular cell types to morphological, physiological, and behavioral correlates. Emerging spatially resolved transcriptomic methods promise to fill this gap by localizing molecularly defined cell types in tissues, with simultaneous detection of morphology, activity, or connectivity. Here, we review the requirements for spatial transcriptomic methods toward these goals, consider the challenges ahead, and describe promising applications.
Copyright © 2017, American Association for the Advancement of Science.

Mesh:

Year:  2017        PMID: 28983044     DOI: 10.1126/science.aan6827

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  110 in total

1.  The spatiotemporal expression pattern of microRNAs in the developing mouse nervous system.

Authors:  Pengcheng Shu; Chao Wu; Wei Liu; Xiangbin Ruan; Chang Liu; Lin Hou; Yi Zeng; Hongye Fu; Ming Wang; Pan Chen; Xiaoling Zhang; Bin Yin; Jiangang Yuan; Boqin Qiang; Xiaozhong Peng
Journal:  J Biol Chem       Date:  2018-12-21       Impact factor: 5.157

2.  Single-cell transcriptomics of the mouse kidney reveals potential cellular targets of kidney disease.

Authors:  Jihwan Park; Rojesh Shrestha; Chengxiang Qiu; Ayano Kondo; Shizheng Huang; Max Werth; Mingyao Li; Jonathan Barasch; Katalin Suszták
Journal:  Science       Date:  2018-04-05       Impact factor: 47.728

Review 3.  Brain Theranostics and Radiotheranostics: Exosomes and Graphenes In Vivo as Novel Brain Theranostics.

Authors:  Minseok Suh; Dong Soo Lee
Journal:  Nucl Med Mol Imaging       Date:  2018-11-09

Review 4.  Perspectives on defining cell types in the brain.

Authors:  Eran A Mukamel; John Ngai
Journal:  Curr Opin Neurobiol       Date:  2018-12-06       Impact factor: 6.627

5.  Proteomic Analysis of Single Mammalian Cells Enabled by Microfluidic Nanodroplet Sample Preparation and Ultrasensitive NanoLC-MS.

Authors:  Ying Zhu; Geremy Clair; William B Chrisler; Yufeng Shen; Rui Zhao; Anil K Shukla; Ronald J Moore; Ravi S Misra; Gloria S Pryhuber; Richard D Smith; Charles Ansong; Ryan T Kelly
Journal:  Angew Chem Int Ed Engl       Date:  2018-06-14       Impact factor: 15.336

6.  Spatial tissue profiling by imaging-free molecular tomography.

Authors:  Halima Hannah Schede; Christian G Schneider; Johanna Stergiadou; Lars E Borm; Anurag Ranjak; Tracy M Yamawaki; Fabrice P A David; Peter Lönnerberg; Maria Antonietta Tosches; Simone Codeluppi; Gioele La Manno
Journal:  Nat Biotechnol       Date:  2021-04-19       Impact factor: 54.908

7.  Spatially Resolved Proteome Mapping of Laser Capture Microdissected Tissue with Automated Sample Transfer to Nanodroplets.

Authors:  Ying Zhu; Maowei Dou; Paul D Piehowski; Yiran Liang; Fangjun Wang; Rosalie K Chu; William B Chrisler; Jordan N Smith; Kaitlynn C Schwarz; Yufeng Shen; Anil K Shukla; Ronald J Moore; Richard D Smith; Wei-Jun Qian; Ryan T Kelly
Journal:  Mol Cell Proteomics       Date:  2018-06-24       Impact factor: 5.911

Review 8.  Beyond bulk: a review of single cell transcriptomics methodologies and applications.

Authors:  Ashwinikumar Kulkarni; Ashley G Anderson; Devin P Merullo; Genevieve Konopka
Journal:  Curr Opin Biotechnol       Date:  2019-04-10       Impact factor: 9.740

Review 9.  Integrating single-cell and spatial transcriptomics to elucidate intercellular tissue dynamics.

Authors:  Sophia K Longo; Margaret G Guo; Andrew L Ji; Paul A Khavari
Journal:  Nat Rev Genet       Date:  2021-06-18       Impact factor: 53.242

Review 10.  Tumour heterogeneity and the evolutionary trade-offs of cancer.

Authors:  Jean Hausser; Uri Alon
Journal:  Nat Rev Cancer       Date:  2020-02-24       Impact factor: 60.716

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