Literature DB >> 28207000

Spatial transcriptomic analysis of cryosectioned tissue samples with Geo-seq.

Jun Chen1,2, Shengbao Suo3,4, Patrick Pl Tam5, Jing-Dong J Han3, Guangdun Peng1, Naihe Jing1.   

Abstract

Conventional gene expression studies analyze multiple cells simultaneously or single cells, for which the exact in vivo or in situ position is unknown. Although cellular heterogeneity can be discerned when analyzing single cells, any spatially defined attributes that underpin the heterogeneous nature of the cells cannot be identified. Here, we describe how to use Geo-seq, a method that combines laser capture microdissection (LCM) and single-cell RNA-seq technology. The combination of these two methods enables the elucidation of cellular heterogeneity and spatial variance simultaneously. The Geo-seq protocol allows the profiling of transcriptome information from only a small number cells and retains their native spatial information. This protocol has wide potential applications to address biological and pathological questions of cellular properties such as prospective cell fates, biological function and the gene regulatory network. Geo-seq has been applied to investigate the spatial transcriptome of mouse early embryo, mouse brain, and pathological liver and sperm tissues. The entire protocol from tissue collection and microdissection to sequencing requires ∼5 d, Data analysis takes another 1 or 2 weeks, depending on the amount of data and the speed of the processor.

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Year:  2017        PMID: 28207000     DOI: 10.1038/nprot.2017.003

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  63 in total

1.  Molecular architecture of lineage allocation and tissue organization in early mouse embryo.

Authors:  Guangdun Peng; Shengbao Suo; Guizhong Cui; Fang Yu; Ran Wang; Jun Chen; Shirui Chen; Zhiwen Liu; Guoyu Chen; Yun Qian; Patrick P L Tam; Jing-Dong J Han; Naihe Jing
Journal:  Nature       Date:  2019-08-07       Impact factor: 49.962

Review 2.  Revolutionizing immunology with single-cell RNA sequencing.

Authors:  Haide Chen; Fang Ye; Guoji Guo
Journal:  Cell Mol Immunol       Date:  2019-02-22       Impact factor: 11.530

3.  Analysis on gene modular network reveals morphogen-directed development robustness in Drosophila.

Authors:  Shuo Zhang; Juan Zhao; Xiangdong Lv; Jialin Fan; Yi Lu; Tao Zeng; Hailong Wu; Luonan Chen; Yun Zhao
Journal:  Cell Discov       Date:  2020-06-30       Impact factor: 10.849

4.  Integrating microarray-based spatial transcriptomics and single-cell RNA-seq reveals tissue architecture in pancreatic ductal adenocarcinomas.

Authors:  Reuben Moncada; Dalia Barkley; Florian Wagner; Marta Chiodin; Joseph C Devlin; Maayan Baron; Cristina H Hajdu; Diane M Simeone; Itai Yanai
Journal:  Nat Biotechnol       Date:  2020-01-13       Impact factor: 54.908

5.  Spatially multiplexed RNA in situ hybridization to reveal tumor heterogeneity.

Authors:  Lena Voith von Voithenberg; Anna Fomitcheva Khartchenko; Deborah Huber; Peter Schraml; Govind V Kaigala
Journal:  Nucleic Acids Res       Date:  2020-02-20       Impact factor: 16.971

Review 6.  The Application of Single-Cell RNA Sequencing in Studies of Autoimmune Diseases: a Comprehensive Review.

Authors:  Mingming Zhao; Jiao Jiang; Ming Zhao; Christopher Chang; Haijing Wu; Qianjin Lu
Journal:  Clin Rev Allergy Immunol       Date:  2020-11-25       Impact factor: 8.667

Review 7.  Exploring the secrets of brain transcriptional regulation: developing methodologies, recent significant findings, and perspectives.

Authors:  Zhe Ding; Luyun Sun; Cen Yang; Aihua Liu; Fukai Bao
Journal:  Brain Struct Funct       Date:  2021-02-05       Impact factor: 3.270

8.  Multi-color clonal tracking reveals intra-stage proliferative heterogeneity during mammary tumor progression.

Authors:  Stefanie Tiede; Ravi Kiran Reddy Kalathur; Fabiana Lüönd; Luca von Allmen; Barbara Maria Szczerba; Mathias Hess; Tatjana Vlajnic; Benjamin Müller; James Canales Murillo; Nicola Aceto; Gerhard Christofori
Journal:  Oncogene       Date:  2020-10-12       Impact factor: 9.867

9.  Epigenetic regulation of left-right asymmetry by DNA methylation.

Authors:  Lu Wang; Zhibin Liu; Hao Lin; Dongyuan Ma; Qinghua Tao; Feng Liu
Journal:  EMBO J       Date:  2017-09-07       Impact factor: 11.598

10.  Transcriptome analysis reveals determinant stages controlling human embryonic stem cell commitment to neuronal cells.

Authors:  Yuanyuan Li; Ran Wang; Nan Qiao; Guangdun Peng; Ke Zhang; Ke Tang; Jing-Dong J Han; Naihe Jing
Journal:  J Biol Chem       Date:  2017-09-26       Impact factor: 5.157

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