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Status |
Public on May 03, 2019 |
Title |
RNA proximity sequencing reveals properties of spatial transcriptome organization in the nucleus |
Organism |
Homo sapiens |
Experiment type |
Other Expression profiling by high throughput sequencing
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Summary |
Spatial transcriptomics aims to understand how the ensemble of RNA molecules in tissues and cells is organized in 3D space. Here we introduce Proximity RNA-seq, which identifies co-localization preferences for pairs or groups of chromatin-associated, nuclear-retained and nascent RNAs in cell nuclei. Proximity RNA-seq is based on massive-throughput RNA barcoding of sub-nuclear particles in water-in-oil emulsion droplets, followed by sequencing.
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Overall design |
4 Proximity RNA-Seq datasets (Pools 2, 5, 7 & 8), 2 Hi-C datasets
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Contributor(s) |
Morf J, Wingett SW, Farabella I, Cairns J, Furlan-Magaril M, Jiménez-García LF, Liu X, Craig FF, Walker S, Segonds-Pichon A, Andrews S, Marti-Renom MA, Fraser P |
Citation(s) |
31267103, 31992717 |
Submission date |
Apr 12, 2019 |
Last update date |
Feb 10, 2020 |
Contact name |
Steven William Wingett |
E-mail(s) |
steven.wingett@mrc-lmb.cam.ac.uk
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Organization name |
MRC Laboratory of Molecular Biology
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Department |
Cell Biology
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Street address |
Francis Crick Avenue, Cambridge Biomedical Campus
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City |
Cambridge |
State/province |
Cambs |
ZIP/Postal code |
CB2 0QH |
Country |
United Kingdom |
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Platforms (1) |
GPL16791 |
Illumina HiSeq 2500 (Homo sapiens) |
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Samples (6)
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Relations |
BioProject |
PRJNA532610 |
SRA |
SRP192392 |
Supplementary file |
Size |
Download |
File type/resource |
GSE129732_Monte_Carlo_Simulation_Results.txt.gz |
13.7 Mb |
(ftp)(http) |
TXT |
GSE129732_Pools_2_5_8_simulation_format_combined_file.txt.gz |
395.1 Mb |
(ftp)(http) |
TXT |
GSE129732_local_RNA_connectivity.xlsx |
447.8 Kb |
(ftp)(http) |
XLSX |
SRA Run Selector |
Raw data are available in SRA |
Processed data are available on Series record |
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