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Proximity RNA-seq: A Sequencing Method to Identify Co-localization of RNA

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RNA-Chromatin Interactions

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2161))

Abstract

RNA localization is an important regulatory layer of gene expression and cell functioning. The protocol guides through the Proximity RNA-seq method, in which RNA molecules are sequenced in their spatial, cellular context to derive RNA co-localization and transcriptome organization. Transcripts in individual subcellular particles from chemically crosslinked cells are tagged with the same, unique DNA barcode in water-in-oil emulsion droplets. First, single DNA barcodes are PCR amplified and immobilized on single, small magnetic beads in droplets. Subsequently, 3′ ends of bead-bound barcode copies are tailed with random pentadecamers. Then beads are encapsulated again into droplets together with crosslinked subcellular particles containing RNA. Reverse transcription using random pentadecamers as primers is performed in droplets, which optimally contain one bead and one particle, in order to tag RNAs co-localized to the same particle. Sequencing such cDNA molecules identifies the RNA molecule and the barcode. Subsequent analysis of transcripts that share the same barcode, i.e., co-barcoding, reveals RNA co-localization and interactions. The technique is not restricted to pairs of RNAs but can as well detect groups of transcripts and estimates local RNA density or connectivity for individual transcripts. We provide here a detailed protocol to perform and analyze Proximity RNA-seq on cell nuclei to study spatial, nuclear RNA organization.

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References

  1. Stahl PL et al (2016) Visualization and analysis of gene expression in tissue sections by spatial transcriptomics. Science 353:78–82

    Article  CAS  Google Scholar 

  2. Lee JH et al (2014) Highly multiplexed subcellular RNA sequencing in situ. Science 343:1360–1363

    Article  CAS  Google Scholar 

  3. Chen KH, Boettiger AN, Moffitt JR, Wang S, Zhuang X (2015) RNA imaging. Spatially resolved, highly multiplexed RNA profiling in single cells. Science 348:aaa6090

    Article  Google Scholar 

  4. Shah S et al (2018) Dynamics and spatial genomics of the nascent transcriptome by intron seqFISH. Cell 174(2):363–376

    Article  CAS  Google Scholar 

  5. Xia C, Fan J, Emanuel G, Hao J, Zhuang X (2019) Spatial transcriptome profiling by MERFISH reveals subcellular RNA compartmentalization and cell cycle-dependent gene expression. Proc Natl Acad Sci U S A 116(39):19490–19499

    Article  CAS  Google Scholar 

  6. Weidmann CA, Mustoe AM, Weeks KM (2016) Direct duplex detection: an emerging tool in the RNA structure analysis toolbox. Trends Biochem Sci 41:734–736

    Article  CAS  Google Scholar 

  7. Nguyen TC et al (2016) Mapping RNA–RNA interactome and RNA structure in vivo by MARIO. Nat Commun 7:12023

    Article  CAS  Google Scholar 

  8. Kudla G, Granneman S, Hahn D, Beggs JD, Tollervey D (2011) Cross-linking, ligation, and sequencing of hybrids reveals RNA-RNA interactions in yeast. Proc Natl Acad Sci U S A 108:10010–10015

    Article  CAS  Google Scholar 

  9. Ramani V, Qiu R, Shendure J (2015) High-throughput determination of RNA structure by proximity ligation. Nat Biotechnol 33:980–984

    Article  CAS  Google Scholar 

  10. Sugimoto Y et al (2015) hiCLIP reveals the in vivo atlas of mRNA secondary structures recognized by Staufen 1. Nature 519:491–494

    Article  CAS  Google Scholar 

  11. Morf J et al (2019) RNA proximity sequencing reveals the spatial organization of the transcriptome in the nucleus. Nat Biotechnol 37:793–802

    Article  CAS  Google Scholar 

  12. Langmead B, Salzberg SL (2012) Fast gapped-read alignment with bowtie 2. Nat Methods 9:357–359

    Article  CAS  Google Scholar 

  13. Kim D, Langmead B, Salzberg SL (2015) HISAT: a fast spliced aligner with low memory requirements. Nat Methods 12:357–360

    Article  CAS  Google Scholar 

  14. Wingett SW, Andrews S (2018) FastQ screen: a tool for multi-genome mapping and quality control. F1000Res 7:1338

    Article  Google Scholar 

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1 Electronic Supplementary Material

Supplementary Table 1

Oligo sequences, modifications and purity used in Proximity RNA-seq. Four indexed Illumina primers are listed for sequencing multiplexing (XLSX 49 kb)

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Morf, J., Wingett, S.W. (2020). Proximity RNA-seq: A Sequencing Method to Identify Co-localization of RNA. In: Ørom, U. (eds) RNA-Chromatin Interactions. Methods in Molecular Biology, vol 2161. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0680-3_13

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  • DOI: https://doi.org/10.1007/978-1-0716-0680-3_13

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-0679-7

  • Online ISBN: 978-1-0716-0680-3

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