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Spatial transcriptomic analysis of cryosectioned tissue samples with Geo-seq
by
Chen, Jun
, Peng, Guangdun
, Suo, Shengbao
, Tam, Patrick PL
, Jing, Naihe
, Han, Jing-Dong J
in
631/154/1435/2163
/ 631/1647/2230
/ 631/250/255/1629
/ 631/326/417/1716
/ Analytical Chemistry
/ Animals
/ Biological Techniques
/ Biology
/ Computational biology
/ Computational Biology/Bioinformatics
/ Cryoultramicrotomy - methods
/ Female
/ Frozen sections (Histology)
/ Gene expression
/ Gene Expression Profiling - methods
/ Genetic aspects
/ Heterogeneity
/ Innovations
/ Laser Capture Microdissection
/ Life Sciences
/ Mice
/ Mice, Inbred C57BL
/ Microarrays
/ Organic Chemistry
/ Polymerase Chain Reaction
/ Pregnancy
/ protocol
/ Sequence Analysis, RNA - methods
/ Single-Cell Analysis
/ Spatial analysis
/ Sperm
/ Stem cells
2017
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Spatial transcriptomic analysis of cryosectioned tissue samples with Geo-seq
by
Chen, Jun
, Peng, Guangdun
, Suo, Shengbao
, Tam, Patrick PL
, Jing, Naihe
, Han, Jing-Dong J
in
631/154/1435/2163
/ 631/1647/2230
/ 631/250/255/1629
/ 631/326/417/1716
/ Analytical Chemistry
/ Animals
/ Biological Techniques
/ Biology
/ Computational biology
/ Computational Biology/Bioinformatics
/ Cryoultramicrotomy - methods
/ Female
/ Frozen sections (Histology)
/ Gene expression
/ Gene Expression Profiling - methods
/ Genetic aspects
/ Heterogeneity
/ Innovations
/ Laser Capture Microdissection
/ Life Sciences
/ Mice
/ Mice, Inbred C57BL
/ Microarrays
/ Organic Chemistry
/ Polymerase Chain Reaction
/ Pregnancy
/ protocol
/ Sequence Analysis, RNA - methods
/ Single-Cell Analysis
/ Spatial analysis
/ Sperm
/ Stem cells
2017
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Spatial transcriptomic analysis of cryosectioned tissue samples with Geo-seq
by
Chen, Jun
, Peng, Guangdun
, Suo, Shengbao
, Tam, Patrick PL
, Jing, Naihe
, Han, Jing-Dong J
in
631/154/1435/2163
/ 631/1647/2230
/ 631/250/255/1629
/ 631/326/417/1716
/ Analytical Chemistry
/ Animals
/ Biological Techniques
/ Biology
/ Computational biology
/ Computational Biology/Bioinformatics
/ Cryoultramicrotomy - methods
/ Female
/ Frozen sections (Histology)
/ Gene expression
/ Gene Expression Profiling - methods
/ Genetic aspects
/ Heterogeneity
/ Innovations
/ Laser Capture Microdissection
/ Life Sciences
/ Mice
/ Mice, Inbred C57BL
/ Microarrays
/ Organic Chemistry
/ Polymerase Chain Reaction
/ Pregnancy
/ protocol
/ Sequence Analysis, RNA - methods
/ Single-Cell Analysis
/ Spatial analysis
/ Sperm
/ Stem cells
2017
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Spatial transcriptomic analysis of cryosectioned tissue samples with Geo-seq
Journal Article
Spatial transcriptomic analysis of cryosectioned tissue samples with Geo-seq
2017
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Overview
Geo-seq combines laser capture microdissection and single-cell RNA-seq technology to enable transcriptome analysis of small quantities of cells from defined geographical locations.
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 geographical position sequencing (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.
Publisher
Nature Publishing Group UK,Nature Publishing Group
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