Abstract
During nuclear surveillance in yeast, the RNA exosome functions together with the TRAMP complexes. These include the DEAH-box RNA helicase Mtr4 together with an RNA-binding protein (Air1 or Air2) and a poly(A) polymerase (Trf4 or Trf5). To better determine how RNA substrates are targeted, we analyzed protein and RNA interactions for TRAMP components. Mass spectrometry identified three distinct TRAMP complexes formed in vivo. These complexes preferentially assemble on different classes of transcripts. Unexpectedly, on many substrates, including pre-rRNAs and pre-mRNAs, binding specificity is apparently conferred by Trf4 and Trf5. Clustering of mRNAs by TRAMP association shows co-enrichment for mRNAs with functionally related products, supporting the significance of surveillance in regulating gene expression. We compared binding sites of TRAMP components with multiple nuclear RNA binding proteins, revealing preferential colocalization of subsets of factors. TRF5 deletion reduces Mtr4 recruitment and increases RNA abundance for mRNAs specifically showing high Trf5 binding.
Highlights
During nuclear surveillance in yeast, the RNA exosome functions together with the TRAMP complexes
Three distinct TRAMP complexes are detected in vivo
We assessed the actual combinations formed in vivo, by tandem-affinity purification and mass spectrometry (MS)
Summary
During nuclear surveillance in yeast, the RNA exosome functions together with the TRAMP complexes. These include the DEAH-box RNA helicase Mtr[4] together with an RNA-binding protein (Air[1] or Air2) and a poly(A) polymerase (Trf[4] or Trf[5]). Air[1] and Air[2] are zinc (Zn)-knuckle, putative RNAbinding proteins[9], whereas Trf[4] and Trf[5] are noncanonical poly (A) polymerases Together, they add a short oligo(A) tail, significantly shorter than poly(A) tail added by the canonical polymerase (Pap1)[10]. Human cells express at least three complexes that each contain MTR4 and a zinc-finger protein These include TRAMP, which is predominately nucleolar in humans, as well as
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