This dataset consists of 26 raw MS files and associated peak lists and result files, acquired on a TripleTOF 6600 mass spectrometer operated in Data Dependent Acquisition mode.
Samples were generated by Rasim Barutcu and Mingkun Wu (some clones also generated by Boris Dyakov). Streptavidin affinity purification and mass spectrometric acquisition was performed by Zhen-Yuan Lin. Mass Spectrometry data analysis was performed by Boris Dyakov.
The files are associated with a manuscript submitted for publication by Barutcu et al. that identifies functionally distinct proteins and retained intron RNAs associated with nuclear domains (speckles and lamina) using APEX2-mediated proximity labeling. ("Systematic mapping of nuclear domain associated transcripts reveals speckles and lamina as hubs of functionally distinct populations of retained introns")
Benjamin Blencowe is the corresponding author of the manuscript (b.blencowe@utoronto.ca).
Anne-Claude Gingras should be contacted for questions about this dataset (gingras@lunenfeld.ca).
[doi:10.25345/C5HJ93]
[dataset license: CC0 1.0 Universal (CC0 1.0)]
Keywords: Proximity-dependent biotinylation ; APEX ; RNA ; Nuclear bodies ; Speckles ; Lamina ; Nuclear domains ; Retained introns
Principal Investigators: (in alphabetical order) |
Anne-Claude Gingras, LTRI, Canada |
Submitting User: | gingraslab |
Barutcu AR, Wu M, Braunschweig U, Dyakov BJA, Luo Z, Turner KM, Durbic T, Lin ZY, Weatheritt RJ, Maass PG, Gingras AC, Blencowe BJ.
Systematic mapping of nuclear domain-associated transcripts reveals speckles and lamina as hubs of functionally distinct retained introns.
Mol Cell. 2022 Mar 3;82(5):1035-1052.e9. Epub 2022 Feb 18.
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