Dataset Information

RESA identifies mRNA-regulatory sequences at high resolution.

ABSTRACT: Gene expression is extensively regulated at the levels of mRNA stability, localization and translation. However, decoding functional RNA-regulatory features remains a limitation to understanding post-transcriptional regulation in vivo. Here, we developed RNA-element selection assay (RESA), a method that selects RNA elements on the basis of their activity in vivo and uses high-throughput sequencing to provide a quantitative measurement of their regulatory functions at near-nucleotide resolution. We implemented RESA to identify sequence elements modulating mRNA stability during zebrafish embryogenesis. RESA provides a sensitive and quantitative measure of microRNA activity in vivo and also identifies novel regulatory sequences. To uncover specific sequence requirements within regulatory elements, we developed a bisulfite-mediated nucleotide-conversion strategy for large-scale mutational analysis (RESA-bisulfite). Finally, we used the versatile RESA platform to map candidate protein-RNA interactions in vivo (RESA-CLIP).

SUBMITTER: Yartseva V

PROVIDER: S-EPMC5423094 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature

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RESA identifies mRNA-regulatory sequences at high resolution.

Yartseva Valeria V Takacs Carter M CM Vejnar Charles E CE Lee Miler T MT Giraldez Antonio J AJ

Nature methods 20161226 2

Gene expression is extensively regulated at the levels of mRNA stability, localization and translation. However, decoding functional RNA-regulatory features remains a limitation to understanding post-transcriptional regulation in vivo. Here, we developed RNA-element selection assay (RESA), a method that selects RNA elements on the basis of their activity in vivo and uses high-throughput sequencing to provide a quantitative measurement of their regulatory functions at near-nucleotide resolution. ...[more]

PMID: 28024160

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Project description:BackgroundThe association of active transcription regulatory elements (TREs) with DNAse I hypersensitivity (DHS[+]) and an 'open' local chromatin configuration has long been known. However, the 3D topography of TREs within the nuclear landscape of individual cells in relation to their active or inactive status has remained elusive. Here, we explored the 3D nuclear topography of active and inactive TREs in the context of a recently proposed model for a functionally defined nuclear architecture, where an active and an inactive nuclear compartment (ANC-INC) form two spatially co-aligned and functionally interacting networks.ResultsUsing 3D structured illumination microscopy, we performed 3D FISH with differently labeled DNA probe sets targeting either sites with DHS[+], apparently active TREs, or DHS[-] sites harboring inactive TREs. Using an in-house image analysis tool, DNA targets were quantitatively mapped on chromatin compaction shaped 3D nuclear landscapes. Our analyses present evidence for a radial 3D organization of chromatin domain clusters (CDCs) with layers of increasing chromatin compaction from the periphery to the CDC core. Segments harboring active TREs are significantly enriched at the decondensed periphery of CDCs with loops penetrating into interchromatin compartment channels, constituting the ANC. In contrast, segments lacking active TREs (DHS[-]) are enriched toward the compacted interior of CDCs (INC).ConclusionsOur results add further evidence in support of the ANC-INC network model. The different 3D topographies of DHS[+] and DHS[-] sites suggest positional changes of TREs between the ANC and INC depending on their functional state, which might provide additional protection against an inappropriate activation. Our finding of a structural organization of CDCs based on radially arranged layers of different chromatin compaction levels indicates a complex higher-order chromatin organization beyond a dichotomic classification of chromatin into an 'open,' active and 'closed,' inactive state.

Dataset Information

RESA identifies mRNA-regulatory sequences at high resolution.

Publications

RESA identifies mRNA-regulatory sequences at high resolution.

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