Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published May 8, 2024 | in press
Journal Article Open

Genome organization around nuclear speckles drives mRNA splicing efficiency

Abstract

The nucleus is highly organized, such that factors involved in the transcription and processing of distinct classes of RNA are confined within specific nuclear bodies1,2. One example is the nuclear speckle, which is defined by high concentrations of protein and noncoding RNA regulators of pre-mRNA splicing3. What functional role, if any, speckles might play in the process of mRNA splicing is unclear4,5. Here we show that genes localized near nuclear speckles display higher spliceosome concentrations, increased spliceosome binding to their pre-mRNAs and higher co-transcriptional splicing levels than genes that are located farther from nuclear speckles. Gene organization around nuclear speckles is dynamic between cell types, and changes in speckle proximity lead to differences in splicing efficiency. Finally, directed recruitment of a pre-mRNA to nuclear speckles is sufficient to increase mRNA splicing levels. Together, our results integrate the long-standing observations of nuclear speckles with the biochemistry of mRNA splicing and demonstrate a crucial role for dynamic three-dimensional spatial organization of genomic DNA in driving spliceosome concentrations and controlling the efficiency of mRNA splicing.

Copyright and License

© The Author(s), under exclusive licence to Springer Nature Limited 2024.

Acknowledgement

We thank D. Honson, E. Detmar and D. Perez for experimental help; B. Riviere, L. Pachter and N. Ollikainen for computational help; M. Flynn for the bidirectional reporter plasmid; L. Cai, M. Elowitz and A. Raj for reagents; F. Ding, H. Yin, J. Jachowicz, L. Frankiw and Y. Luo for discussions; B. Yeh for discussions about splicing efficiency calculations; I. Antoshechkin for sequencing; G. Spigola for microscopy advice; A. Lin for sequencing advice; B. Yeh, D. Honson and K. Leslie for critical comments on the manuscript; R. Maehr and K. Mohan Parsi for H1 ES cell lines; B. Wold and B. Williams for myocyte cell lines; and S. Hiley for editing. Illustrations in Figs. 1a,c–d,e,g2a,b3a,b4a5a–c and 6 and Extended Data Figs. 4b and 9 were created by I.-M. Strazhnik, Caltech. Imaging was performed at the Biological Imaging Facility with the support of the Caltech Beckman Institute and the Arnold and Mabel Beckman Foundation. This work was funded by NIH T32 GM 7616-40, NIH NRSA CA247447, the UCLA-Caltech Medical Scientist Training Program, a Chen Graduate Innovator Grant, and the Josephine De Karman Fellowship Trust (P.B.); and a HHMI Gilliam Fellowship, NSF GRFP Fellowship, and the HHMI Hanna H. Gray Fellows Program (S.A.Q.). This work was funded by the NIH 4DN program (U01 DK127420), NIH Directors’ Transformative Research Award (R01 DA053178), the NYSCF, CZI Ben Barres Early Career Acceleration Award, and funds from Caltech.

Contributions

P.B. and M.G. conceived the study, analysed data, interpreted results and wrote the manuscript. P.B., A.C. and M.G. designed experiments. B.E. performed RNA FISH and image analyses, including nuclear segmentation and spot detection. P.B., A.C., O.E. and W.H. generated plasmids for the MCP–MS2 experiments and performed co-transfection experiments for FACS. S.A.Q., E.S. and S.-T.G. generated mouse MM14 myocyte SPRITE data. M.R.B. generated H1 human ES cell SPRITE data. M.S. processed imaging data. P.B. and A.B. performed SC35 immunofluorescence combined with fluorescence microscopy for mCherry constructs. P.B. and A.W.C. performed 5EU RNA-seq. P.B and J.L.M.F. performed DNA FISH combined with SRRM1 immunofluorescence. Y.T analysed seqFISH+ data. I.N.G. generated computational assignment of speckle hubs for human SPRITE data. D.K.S. processed myocyte split-seq data using kallisto, and T.C. developed analytical methods for comparison of splicing efficiency between cell types. P.B. and M.G. supervised the work and M.G. acquired funding.

Data Availability

Sequencing datasets have been deposited into the GEO with accession identifier GSE247833.

Extended Data Fig. 1 Correlation between speckle proximity scores between SPRITE datasets and TSA-seq for SON.

Extended Data Fig. 2 snRNA density for differently expressed genomic regions and different nascent transcription density.

Extended Data Fig. 3 snRNA density for junction matched genomic regions, genomic regions harboring genes of different lengths, and U1 AMT RAP-RNA enrichment for junction matched genomic regions.

Extended Data Fig. 4 Higher splicing efficiency in speckle close regions across measurements, cell-types, and when comparing to genes of similar expression, length, and junction density to speckle far regions.

Extended Data Fig. 5 Integrated reporter maintains endogenous speckle distances.

Extended Data Fig. 6 SPRITE analysis of myocyte cells and comparison to mES cells.

Extended Data Fig. 7 pre-mRNA organization around nuclear speckles drives splicing efficiency.

Extended Data Fig. 8 Differential versus leveled intron architectures also display speckle dependent splicing efficiency.

Extended Data Fig. 9 Integrated model for how spliceosome activity and proximity to nuclear speckles impact kinetics of splicing.

Supplementary Figures

Supplementary Table 1

Supplementary Table 2

Supplementary Table 3

Supplementary Table 4

Supplementary Table 5

Supplementary Table 6

Supplementary Video 1

Code Availability

Additional scripts and data are available at GitHub (https://github.com/GuttmanLab/speckle).

Conflict of Interest

S.A.Q. and M.G. are inventors on a patent covering the SPRITE method.

Files

41586_2024_7429_Fig15_ESM.jpg
Files (14.8 MB)
Name Size Download all
md5:60b9cdcad0420737b9ef8ec7e8541e83
815.4 kB Download
md5:d78f829bd9ce13c329856081af671794
9.7 kB Download
md5:8d37cf7a11d1b8486abc334cb7543dac
102.9 kB Preview Download
md5:2e678a759d6480f0d48a83d7d7d12acb
302.8 kB Preview Download
md5:eece707875a05d2b89959dcaba185231
119.3 kB Preview Download
md5:94f6d39932ef3554fcee008af1ab3990
306.7 kB Download
md5:92628cee359a023a16cff269274e099f
2.4 MB Download
md5:d8ee6e6c959bf3b4f9bedd1af3b0e53d
184.6 kB Preview Download
md5:cc710f739a49c0f63dbbd3dd2a7a90f7
1.9 MB Download
md5:0debf7fef3e4e692887dbb6cc2e0d473
330.6 kB Preview Download
md5:60948efe11127beb43cb0ecc29e906d5
352.0 kB Preview Download
md5:99e43fcf6f3bb60cb3a34d921e6dcfea
262.5 kB Preview Download
md5:3eacecc0b8a76f77ba0235a948265f61
194.8 kB Preview Download
md5:167a776c8f16d80de7e9d61f278ae210
172.0 kB Preview Download
md5:aa925ecb6e31ca48ed567fc2d2f7b482
33.4 kB Download
md5:fcec68b4c60125cc48452657ca20e9d7
173.1 kB Download
md5:ad778ae1e6f6ec43057707977ef3bbea
7.2 MB Download

Additional details

Created:
May 13, 2024
Modified:
May 13, 2024