Abstract
During transcription of eukaryotic ribosomal DNA in the nucleolus, assembly checkpoints exist that guarantee the formation of stable precursors of small and large ribosomal subunits. While the formation of an early large subunit assembly checkpoint precedes the separation of small and large subunit maturation, its mechanism of action and function remain unknown. Here, we report the cryo-electron microscopy structure of the yeast co-transcriptional large ribosomal subunit assembly intermediate that serves as a checkpoint. The structure provides the mechanistic basis for how quality-control pathways are established through co-transcriptional ribosome assembly factors, that structurally interrogate, remodel and, together with ribosomal proteins, cooperatively stabilize correctly folded pre-ribosomal RNA. Our findings thus provide a molecular explanation for quality control during eukaryotic ribosome assembly in the nucleolus.
Subject terms: Cryoelectron microscopy, RNA, Ribosome, Structure determination, Translation
Here, using cryo-EM, the authors detail how the yeast co-transcriptional assembly of the large ribosomal subunit involves a quality-control checkpoint. Ribosome-assembly factors implement this checkpoint by probing the formation and ensuring the co-operative stabilization of correctly folded ribosomal RNA.
Main
Eukaryotic ribosome assembly involves the coordinated activity of more than 200 assembly factors that assist in the formation of small and large ribosomal subunits1. During the transcription of ribosomal DNA (rDNA) in S. cerevisiae, a 35S precursor transcript is generated in which the small subunit rRNA (18S) and two of the three large subunit (LSU) rRNAs (5.8S and 25S) are flanked by external transcribed spacers (5′ ETS and 3′ ETS) and are interspersed by internal transcribed spacers (ITS1 and ITS2). A unique and poorly understood challenge during co-transcriptional stages of ribosome biogenesis in the nucleolus is the correct assembly and stabilization of the 5′ ends of nascent pre-ribosomes through co-transcriptional ribosome assembly factors.
Miller spreads have highlighted the co-transcriptional appearance of assembly intermediates as terminal structures that first form for the small subunit, where the synthesis of a 5′ ETS ribonucleoprotein (RNP) precedes the assembly of the small-subunit processome2–5. The co-transcriptional formation of an uncharacterized LSU assembly intermediate around the 5′ end of the LSU pre-ribosomal RNA (pre-rRNA) is then followed by pre-rRNA cleavage at site A2 within ITS1, which separates small-subunit and LSU maturation3.
However, how the structural integrity of the 5′ segment of the nascent LSU precursor is interrogated has so far remained elusive. It is unclear how ribosome assembly factors implicated in this event can perform key checkpoint functions that require the presence and recognition of distinct pre-rRNA elements to facilitate the separation of small-subunit and LSU biogenesis.
The Noc1–Noc2 complex, together with Rrp5, has been implicated in mediating some of these functions as well as co-transcriptional cleavage at site A2, because Rrp5 is involved in both small-subunit and LSU assembly6–11. Chemical-biology approaches have highlighted that the Noc1–Noc2 complex and Rrp5 can stably bind to pre-ribosomal RNA mimics that contain a 5′ segment of the LSU12,13. However, the mode by which this complex may establish a checkpoint that can control the coordinated progression of both small-subunit and LSU assembly has so far remained unclear14.
Results
Cryo-electron microscopy structure of the Noc1–Noc2 RNP
To characterize the mechanisms by which nascent LSUs are chaperoned in a co-transcriptional manner, we employed a system wherein pre-rRNA mimics are generated from a plasmid in vivo4,13,15. This system allowed for the synthesis of a pre-rRNA mimic starting at site A2 in ITS1 and terminating after domain VI of the 25S rRNA, followed by a set of MS2 RNA aptamers, as previously described13 (Extended Data Fig. 1a). The expression of this pre-rRNA mimic resulted in the formation of mature LSUs, showing that the pre-rRNA mimic undergoes the entire LSU-assembly pathway (Extended Data Fig. 1b,c).
By using the pre-rRNA mimic with MS2 RNA aptamers and tagged Noc1 as baits for affinity purification, we were able to isolate an early co-transcriptional assembly intermediate (hereafter referred to as the Noc1–Noc2 RNP) (Extended Data Fig. 1). Similarly, by using the same pre-rRNA mimic with MS2 RNA aptamers and tagged Noc2, we were able to isolate the late nucleolar pre-60S assembly intermediate (state E, containing Noc2–Noc3)16, indicating that our pre-rRNA mimic proceeds along a physiologically relevant assembly pathway (Extended Data Fig. 2). To determine the structure of the Noc1–Noc2 RNP, extensive 3D classification was performed on eight cryo-electron microscopy (cryo-EM) datasets to first obtain a well-defined module containing domain II of the 25S rRNA, before resolving a more flexible domain I and 5.8S rRNA module (Extended Data Figs. 1e–g and 3–5, Table 1).
Table 1.
Noc1–Noc2 RNP (EMD-27919), (PDB 8E5T) | Noc2–Noc3 RNP (EMD-27910) | |
---|---|---|
Data collection and processing | ||
Magnification | ×22,500 | ×22,500 |
Voltage (kV) | 300 | 300 |
Electron exposure (e–/Å2) | 37.9 | 37.9 |
Defocus range (μm) | −1.0 to −3.0 | −1.5 to −3.0 |
Pixel size (Å) | 1.3 | 1.3 |
Symmetry imposed | C1 | C1 |
Initial particle images (no.) | 977,232 | 669,811 |
Final particle images (no.) | 158,915 | 75,358 |
Map resolution (Å) | 4.0 | 3.69 |
FSC threshold | 0.143 | 0.143 |
Map resolution range (Å) | 2.8–11.5 | 2.8–8.5 |
Refinement | ||
Initial model used (PDB code) | 6C0F | |
Model resolution (Å) | 3.7 | |
FSC threshold | 0.143 | |
Model resolution range (Å) (FSC 0,0.143,0.5) Masked | 3.6/3.7/7.0 | |
Map sharpening B factor (Å2) | −44.7 | |
Model composition | ||
Non-hydrogen atoms | 55,125 | |
Protein residues | 5158 | |
Nucleic acid | 968 | |
Ligand | Zn-1, Mg-33 | |
B factors (Å2) | ||
Protein | 83.71/491.41/148.87 | |
Ligand | 51.94/257.32/115.29 | |
R.m.s. deviations | ||
Bond lengths (Å) | 0.004 (0) | |
Bond angles (°) | 0.927 (5) | |
Validation | ||
MolProbity score | 1.44 | |
Clashscore | 3.96 | |
Poor rotamers (%) | 0 | |
Ramachandran plot | ||
Favored (%) | 96.21 | |
Allowed (%) | 3.69 | |
Disallowed (%) | 0.10 |
The resulting composite cryo-EM reconstruction contains domains I and II of the 25S rRNA, the 5.8S rRNA and ITS2. This arrangement of domains is expected for the earliest co-transcriptional ribosome-assembly intermediate visualized in Miller spreads, as the protein composition of subsequent intermediates changes significantly only once domain VI has been transcribed and assembled for post-transcriptional maturation12,13 (Fig. 1a,b). The overall structure of this complex highlights that the domain I and II modules act as largely independent units that, in contrast to the subsequent assembly states, are not yet joined through ribosomal proteins and rRNA16–18. In agreement with prior biochemical data, the 5.8S rRNA is largely flexible, with the most ordered regions corresponding to segments that form base pairs with the 25S rRNA19.
The Noc1–Noc2 complex remodels root helices of the large subunit
The most prominent feature of this particle is the Noc1–Noc2 complex, which is responsible for remodeling all root helices formed by the 5.8S rRNA and domains I and II of the 25S rRNA (helices 2, 25 and 26) (Fig. 1c,d and Extended Data Fig. 6). Because root helices form the base of each of the 25S rRNA subdomains (I–VI), and hence the architectural core of the LSU20,21, their early recognition by the Noc1–Noc2 complex indicates a key point of quality control. The Noc1–Noc2 complex not only binds to several critical root helices, but specifically encircles helix 2 through molecular shape complementarity in a non-sequence-specific manner (Fig. 1d). Helix 2 is a crucial root helix of the forming LSU: it contains the 5′ end of the LSU pre-rRNA, and initiates the formation of the polypeptide exit tunnel, one of the essential functional centers of the LSU, which is formed in a tightly controlled manner during subsequent assembly stages in the nucleolus16–18. Although the Noc1–Noc2 complex is evolutionarily related to the Noc2–Noc3 and Nop14–Noc4 complexes22, it is the only member of this family that can directly chaperone pre-ribosomal RNA, in this case helix 2 of the nascent LSU pre-rRNA (Extended Data Figs. 7 and 8). Further, we observed an unprocessed 5′ end of the LSU pre-rRNA that extends beyond the B1S cleavage site, which later generates the mature 5′ end of the 5.8S rRNA (Fig. 1d and Extended Data Fig. 6d).
Binding of Noc1–Noc2 serves as a checkpoint in LSU assembly
The strategic position of Noc1–Noc2 within the Noc1–Noc2 RNP is key to its primary function during the establishment of a co-transcriptional ribosome-assembly checkpoint. In conjunction with assembly factors Mak16 and Rrp1, Noc1–Noc2 pre-assembles the highly intertwined rRNA domains I and II, thereby positioning these domains for co-operative stabilization by ribosomal proteins (Fig. 2a and Extended Data Fig. 9). Beyond the immediate formation of the co-transcriptional ribosome assembly checkpoint, the Noc1–Noc2 complex further controls post-transcriptional ribosome assembly at four levels: (1) RNA topology, (2) RNA processing, (3) the incorporation of ribosomal proteins and (4) the chronology of ribosome-assembly-factor association (Fig. 2).
First, at the level of RNA topology, the Noc1–Noc2 complex not only separates domains I and II for independent maturation, but also prevents the integration of domain VI, which is a post-transcriptional event (Figs. 1 and 2 and Extended Data Fig. 9)16–18. Key links between domains I and II, such as helix 19, are prevented from establishing contacts, and Noc1 substantially overlaps with domain VI, thereby preventing its incorporation during early co-transcriptional stages of LSU assembly (Fig. 2 and Extended Data Fig. 9).
Second, given the position of Noc1 with respect to the 5′ end of the 5.8S rRNA, Noc1 may also serve as a physical barrier preventing exonucleolytic trimming of ITS1 beyond site B1S (Figs. 1d and 2a).
Third, at the level of ribosomal protein incorporation, the structure rationalizes previous genetic and biochemical data showing that Rpl17 only gradually associates with early LSU assembly intermediates, as its binding site is initially occupied by Noc1 (ref. 23) (Fig. 2 and Extended Data Fig. 9c–f). Similarly, the Noc2 carboxy terminus interferes with the incorporation of Rpl26, as it prevents the ordering of helix 19 of the 25S rRNA, thereby eliminating a key binding site for Rpl26 at the junction of domains I and II. The importance of critical interfaces between domains I, II and the 5.8S rRNA is further highlighted by the finding that key stabilizers of these sites include Rpl17 (RPL17 in humans) and Diamond-Blackfan anemia proteins Rpl26 (RPL26) and Rpl35 (RPL35) (Extended Data Fig. 9c–f)24,25.
Fourth, at the level of ribosome-assembly-factor chronology, the Noc1–Noc2 dimer is presumably recruited to early LSU assembly intermediates through an interaction with the Rrp5 amino terminus, which could not be assigned in our reconstruction. Although Noc2 contacts Mak16, it prevents the Mak16-associated ribosome-assembly-factor complex Rpf1–Nsa1 from binding near domains I and VI (Fig. 2). In addition, Noc1 sterically clashes with the Ssf1–Rrp15 heterodimer, which stabilizes the junction between domains I and VI in the later state 2 of the nucleolar pre-60S18.
Thus, by various modes of action, including steric hindrance and pre-rRNA remodeling, Noc1–Noc2 serves as a central nexus that stabilizes a co-transcriptional pre-rRNA folding intermediate while delaying subsequent post-transcriptional maturation events until transcription of the entire LSU pre-rRNA is completed.
Helix 2 formation is interrogated by the Noc1–Noc2 complex
Previous biochemical data have shown that the transcription of the LSU pre-rRNA precedes co-transcriptional cleavage at site A2, suggesting the presence of a ribosome assembly checkpoint3. In accordance with this data, the structure of the Noc1–Noc2 RNP indicates that the assembly of this particle likely serves as a checkpoint because the Noc1–Noc2 dimer interrogates the formation of root helices that form the core of the nascent LSU, encapsulates helix 2 and stabilizes the 5′ end of the 5.8S rRNA (Figs. 1 and 2a). To probe this ribosome assembly checkpoint, we designed assays to interrogate pre-rRNA processing in vivo and protein composition of different pre-rRNP species (Fig. 3). To investigate the ribosome assembly checkpoint in vivo, we recapitulated co-transcriptional ribosome assembly by transforming yeast strains with plasmids containing unique rDNAs that differ in their ability to form helix 2 (Fig. 3a). Since helix 2 is bound directly by Noc1–Noc2, we hypothesized that an inability to form a base-paired helix 2 should affect both pre-rRNA processing and the association of early assembly factors, such as the Noc1–Noc2 complex. To reflect endogenous co-transcriptional ribosome assembly, the designed plasmids encoded an entire small-subunit precursor (5′ ETS and 18S rRNA), followed by ITS1 and variants of LSU RNA elements that can be distinguished from the endogenous ribosomal subunits by virtue of distinct probes for northern blotting (Fig. 3a).
The structural integrity of helix 2 is key to this ribosome assembly checkpoint, and pre-rRNAs that included both strands of helix 2 (domain II, domain I and domain I truncated to 424 nucleotides (domain I (424 nt))) were detected as unprocessed transcripts (Fig. 3b) and could be further processed at site A2 to give rise to stable LSU precursors (Fig. 3c,d). By contrast, pre-rRNAs in which helix 2 was disrupted, either by truncation to remove one strand of helix 2 (domain I (404 nt)) or mutation of either strand of helix 2 (mutated domain II-5.8S (domain II-5.8S mut), mutated domain II-25S (domain II-25S mut)) were less stable (Fig. 3c,d). Strikingly, compensatory mutations that restore the RNA duplex within helix 2 (domain II-rescue mut, Fig. 3a) restore a stable precursor (Fig. 3b) that is effectively processed at site A2 (Fig. 3c–e).
To investigate whether the structural integrity of the RNA duplex of helix 2 is important for co-operative stabilization by proximal assembly factors, we performed comparative mass spectrometry with designed LSU rRNA precursors (Fig. 3f,g). Here, mutation of a single strand of helix 2 in the 5.8S rRNA (domain II-5.8S mut) selectively reduced the levels of proteins associated with domain II. The most affected proteins were those directly associated with helix 2 (Noc1, Noc2 and Rrp5), followed by proximal assembly factors associated with Mak16 (Rpf1, Rrp1 and Nsa1) and domain-II-associated ribosomal proteins, whereas ribosomal proteins associated with domain I were unaffected (Fig. 3f and Extended Data Fig. 10). By contrast, compensatory mutations within helix 2 that restore the RNA duplex (domain II-rescue mut) selectively re-established binding of direct interactors of helix 2 (Noc1, Noc2 and Rrp5), as well as proximal assembly factors associated with Mak16 (Rpf1, Rrp1 and Nsa1) and domain-II-associated ribosomal proteins (Fig. 3g and Extended Data Fig. 10).
These data strongly support a model in which the formation of the nascent Noc1–Noc2 RNP constitutes an assembly checkpoint where local stabilization of core root helices (helices 2, 25 and 26) is communicated through the co-operative association of both assembly factors and ribosomal proteins. An inability to form a key root helix within the pre-rRNA (such as helix 2) prevents co-operative stabilization of the precursor by ribosomal proteins and assembly factors (such as Noc1–Noc2), thereby inhibiting downstream processing steps.
Discussion
The combined structural and biochemical data presented here suggest that the coupled assembly of eukaryotic small and large ribosomal subunits can be described by the following model (Fig. 4): after the co-transcriptional assembly of the small-subunit processome (Fig. 4a), the transcription of ITS1, the 5.8S rRNA, ITS2 and most of the 25S rRNA domain I enables the formation of helix 2, which is sufficient to stabilize a co-transcriptional LSU assembly intermediate that can undergo cleavage at site A2 (Fig. 4b). The subsequent transcription of domain II generates the co-transcriptional assembly intermediate revealed in this study, which also contains the tethered assembly factor complex Mak16–Rpf1–Nsa1 and remains a part of the nascent pre-rRNP that is visualized in Miller spreads until rDNA transcription is completed (Fig. 4a,c). Following the complete transcription of the LSU pre-rRNA, post-transcriptional assembly events occur, where the departure of the Noc1–Noc2 complex, the integration of domain VI and the stable incorporation of Rpf1–Nsa1 lead to the formation of state 2 of the nucleolar pre-60S, in which domains I and II are joined (Fig. 4d). This is then followed by the association of the Noc2–Noc3 complex, which probes the polypeptide exit tunnel in state E (Fig. 4e). These mechanisms form the basis for the highly controlled initial stages of both co- and early post-transcriptional assembly and processing of the eukaryotic LSU.
Our structural and functional data in yeast shed light on the earliest events during co-transcriptional large ribosomal subunit formation, which are highly conserved in eukaryotes26. Together, these data provide a framework that explains a co-transcriptional ribosome assembly checkpoint centered around the 5′ end of nascent LSU precursors in the context of Miller spreads.
Methods
Cloning of the MS2-tagged 25S rRNA and the MS2-3c-GFP construct
The LSU rDNA, beginning at the A2 site in ITS1 and terminating after domain VI of 25S, was cloned from the rDNA locus of the Saccharomyces cerevisiae strain BY4741 (MATa his3Δ leu2Δ0 met15Δ0 ura3Δ0) (ATCC 201388) into a derivative of the pESC_URA vector (Agilent Technologies). The resulting rRNA mimic (A2-domain VI) was tagged with five MS2-aptamer stem loops at its 3′ end and cloned downstream of a gal1 promoter and upstream of a CYC terminator. An adapted MS2-coat protein fused to an N-terminal nuclear localization signal (NLS), a hemagglutinin (HA) tag and a C-terminal 3C-protease-cleavable GFP (NLS-HA-MS2-3C-GFP) was cloned into a modified pESC plasmid suitable for genome integration in yeast, under a gal10 promoter with G418 resistance.
Expression and purification of pre-60S particles
The pESC plasmid containing the MS2-3C-GFP under the gal10 promoter was transformed into the S. cerevisiae BY4741 strain for integration by selecting for G418 resistance. The resulting yeast strain with MS2-3C-GFP integrated was then subjected to endogenous tagging of a selected assembly factor—Noc1 (Mak21), Noc2 or Cic1 with a C-terminal streptavidin-binding-peptide (sbp) tag—using ClonNAT (Nourseothricin) selection. The resulting strains were used for the purification of the Noc1–Noc2 RNP (MS2-3C-GFP; Noc1-sbp), state E (MS2-3C-GFP; Noc2-sbp) and pre-60S particles for comparative mass spectrometry (MS2-3C-GFP; Cic1-sbp). These strains were subsequently transformed with the pESC_URA plasmids coding for pre-60S rRNA mimics for transient expression.
Yeast cultures were grown in Ura-synthetic drop-out (SD) medium containing 2% galactose (wt/vol) at 30 °C for 16–18 hours, reaching saturation (optical density at 600 nm (OD) of 5–6). Cells were then collected by centrifugation at 3,000g for 10 minutes at 4 °C, resulting in a cell mass of 20–30 grams. The cell pellet was washed with ice-cold double-distilled water (ddH2O) twice, followed by a wash with ddH2O containing protease inhibitors (E-64, Pepstatin, PMSF). Washed cells were immediately flash frozen in liquid nitrogen and lysed by four cycles of cryogenic grinding using a Retsch Planetary Ball Mill PM100. The freshly ground yeast powder was resuspended by vortexing in buffer A (50 mM Tris-HCl, pH 7.6 (20 °C), 150 mM NaCl, 5 mM MgCl2, 1 mM DTT, 0.1% Triton X-100, PMSF, pepstatin, E-64), followed by centrifugation at 4 °C, 40,000g for 30 minutes to remove the insoluble component. The supernatant was then incubated with anti-GFP nanobody beads (Chromotek) for 3 hours at 4 °C, with gentle agitation. The beads were washed three times in ice-cold buffer A and once in buffer B (50 mM Tris-HCl pH 7.6 (20 °C), 150 mM NaCl, 5 mM MgCl2, 1 mM DTT) before the bound proteins were eluted with 3C-protease cleavage for 1 hour at 4 °C. The eluate in buffer B was then applied to NHS-sepharose beads (Sigma), coupled with streptavidin for 1 hour at 4 °C with agitation. The pre-60S-bound streptavidin beads were washed once with buffer B before release from beads using buffer B containing 5 mM d-biotin. The eluted sample typically had an absorbance at 260 nm (A260) of 1.0 to 2.5 mAU (Nanodrop 2000, Thermo Scientific) (Extended Data Fig. 1). The quality of the sample was assessed by SDS–PAGE and negative-stain electron microscopy (EM), and the sample was used for preparing cryo-EM grids. Mass-spectrometry analysis of the sample allowed for identification of expected protein components in the purified complex.
Cryo-EM sample and grid preparation
Eight separate purifications of the Noc1–Noc2 RNP were performed to prepare eight cryo-EM grids that were used to collect eight datasets (DS1–DS8). The eluate in buffer B (above) was supplemented with 0.1% Triton X-100 (final concentration) before grid preparation. Copper grids of 400 mesh with lacey carbon and an ultra-thin carbon support film were used (Ted Pella, product no. 01824). A volume of 3–4 µL of sample (A260 of ~1.5) was applied onto glow-discharged grids, which were incubated for 30 seconds and plunged into liquid ethane using a Vitrobot Mark IV robot (FEI Company) (95% humidity, blot force of 2–4 and blot time 3.5–4 seconds). Cryo-EM grids for the two datasets collected for the Noc2–Noc3 particle were prepared in the same manner.
Cryo-EM data collection and image processing
Noc1–Noc2 RNP
A total of 18,046 micrographs were obtained over eight data collections on a Titan Krios (Thermo Fisher), at 300 kV with a K2 Summit detector (Gatan). SerialEM (v. 3.8)27 was employed for data acquisition using a defocus range of 1.0–3.0 µm with a pixel size of 1.3 Å. Super-resolution movies (pixel size 0.65 Å) with 32 frames were collected using a total dose of 8 electrons per pixel per second, with an exposure time of 8 seconds and a total dose of 37.9 electrons per Å2.
Upon data collection, the movies were gain corrected, dose weighted, aligned and binned to a pixel size of 1.3 Å using RELION 3.0’s implementation of a Motioncor2-like algorithm, and the contrast transfer function (CTF) was estimated using CTFFIND 4.1 (ref. 28) within RELION29. Corrected and aligned micrographs were subjected to automated particle picking by CrYOLO (version 1.7.6)30, which resulted in a total of 1,878,650 particles from all 8 data sets. Particle coordinates were then imported into RELION for subsequent steps. Particles were extracted with a box size of 220 pixels (pixel size of 2.6 Å/px), and were subjected to two-dimensional (2D) classification separately for each individual data set. After 2D classification, bad classes were removed and selected particles from each data set were combined, resulting in a total particle stack of 977,232 particles. The particles were subjected to a round of Bayesian polishing in RELION, followed by global search 3D classification into five classes (K = 5) using an initial 3D model obtained from an ab initio reconstruction from DS1 in RELION, low-pass filtered to 40 Å. The best two classes from this 3D classification were selected and their particles were re-extracted with a box size 440 pixels (pixel size of 1.3 Å/px). A combined total of 556,013 particles were used for a consensus 3D refinement with a solvent mask containing the entire particle, resulting in an overall resolution of 6.9 Å.
Owing to the observed inherent flexibility of the particle between domains I and II of the 25S rRNA, the particles were subjected to particle subtraction in RELION to remove signal from each domain, which were processed separately, in order to improve the quality and resolution of the density. Upon subtraction of the signal using individual masks around each domain, three-dimensional (3D) refinement followed by a round of 3D classification without image alignment into eight classes was performed, first for domain II (K = 8). The best class was selected, and checked for duplicates, resulting in a final particle stack of 158,915 particles. The particles were then subjected to 3 rounds of CTF refinement and Bayesian polishing, resulting in a final reconstruction of domain II at an overall resolution of 3.6 Å. This particle stack was then reverted back to its original form, and the signal from domain II was removed, providing a starting point to obtain the domain I reconstruction. The particles were 3D classified without image alignment into eight classes (K = 8), and 3 of the most similar classes were selected and combined, resulting in a total of 49,406 particles. These particles were then further classified with alignment into five classes (K = 5), and a single class was chosen with 17,104 particles. After 3 rounds of CTF refinement and particle polishing in RELION, a final reconstruction of domain I at a resolution of 4.72 Å was obtained (Extended Data Fig. 2). The local resolution of the maps was calculated with blocres31 within cryoSPARC (v. 3.3.1)32 (Extended Data Fig. 3). All reported resolutions are based on the gold-standard Fourier shell correction (FSC) criterion of 0.143, and FSC curves were corrected using high-resolution noise substitution methods in RELION 3.0. A composite map for the entire complex was generated using phenix.combine_focused_maps33. The same program was used to generate composite half maps that were used to calculate the overall resolution of the reconstruction at 4.0 Å.
Noc2–Noc3 RNP
A total of 8,249 micrographs from rounds of 2 data collection was obtained, on the Titan Krios (Thermo) using the same grid preparation and collection parameters, as was described above for the Noc1 particle. Particles were picked using CrYOLO (version 1.7.6), resulting in 253,724 particles in one data set and 416,087 particles in the other. The extracted particles (box size 440 pixels) were subjected to a round of 2D classification and 3D classification with alignment (K = 5) separately, to obtain one good 3D class from each of the data sets, which were then combined to obtain a final particle stack of 75,358 particles. The particles were then 3D-refined and put through 2 rounds of CTF refinement and Bayesian polishing, resulting in a final reconstruction of the Noc2–Noc3 particle at 3.69-Å resolution. The local resolution of the maps was calculated with blocres within cryoSPARC (v. 3.3.1) (Extended Data Fig. 3). All reported resolutions are based on the gold-standard FSC criterion of 0.143, and FSC curves were corrected using high-resolution noise substitution methods in RELION 3.0.
Model building and refinement
Using the structure of the S. cerevisiae early nucleolar pre-60S particle (PDB 6C0F)18 as a reference, common assembly factors and ribosomal proteins were manually located and fitted into the density. New assembly factors Noc1 and Noc2 were initially built de novo while using models predicted by AlphaFold34 subsequently as references, and remodeled segments of the 25S and 5.8S rRNA were also built de novo into the domain II density. Rigid-body docking was used for domain I factors and rRNA. Model building was performed with COOT35. An annotated list of individual protein IDs, reference models and corresponding maps used for building can be found in Supplementary Table 1. The final model was refined against the composite map in PHENIX with phenix.real_space_refine using secondary structure restraints for proteins and RNAs33. Refinement and model statistics can be found in Table 1. All map and model analyses and illustrations were made using UCSF ChimeraX (version 1.2.5)36 and the PyMOL Molecular Graphics System (version 2.3.5, Schrödinger).
RNA extraction and northern blotting
The rRNA mimics were purified as described above, and RNA was extracted from the final eluate with 1 mL TRIzol (Life Technologies), according to the manufacturer’s instructions. The whole cell RNA was extracted by resuspending 0.2 g yeast cells in 200 µL of TRIzol, followed by lysis by bead beating for a total time of 10 minutes. The total volume of TRIzol was then brought to 1 mL, and the extraction continued according to the manufacturer’s instructions. One microgram of isolated rRNA was separated on a denaturing 1.2% formaldehyde-agarose gel (SeaKem LE, Lonza). After staining the gel in 1× SYBR Green II (Lonza) ddH2O solution (pH 7.5) for 30 minutes, RNA species were visualized with a Gel Doc EZ Imager (Bio-Rad) (Extended Data Fig. 1) and then transferred onto a cationized nylon membrane (Zeta-Probe GT, Bio-Rad) using downward capillary transfer. The RNA was cross-linked to the membrane for northern blot analysis by ultraviolet (UV) irradiation at 254 nm with a total exposure of 120 mJ/cm2 in a UV Stratalinker 2400 (Stratagene). Cross-linked membranes were initially stained with methylene blue dye to visualize the quality of transfer and then were incubated with hybridization buffer (750 mM NaCl, 75 mM trisodium citrate, 1% (wt/vol) SDS, 10% (wt/vol) dextran sulfate, 25% (vol/vol) formamide) at 65 °C for 30 minutes before addition of γ-32P-end-labeled DNA oligonucleotide probe.
Oligonucleotide probe sequences were as follows:
25S probe*: 5′-AGGTACACTCGAGAGCTTCA-3′
18S probe*: 5′-CGAGGATCGAGGCTTT-3′
5′ ETS (A0–A1) probe: 5′-CCCACCTATTCCCTCTTGC-3′
ITS1 (A2–A3) probe: 5′-TGTTACCTCTGGGCCCCGATTG-3′
The probe was hybridized for 1 hour at 65 °C and then overnight at 37 °C. Membranes were washed once with wash buffer 1 (300 mM NaCl, 30 mM trisodium citrate, 1% (wt/vol) SDS) and once with wash buffer 2 (30 mM NaCl, 3 mM trisodium citrate, 1% (wt/vol) SDS) for 20 minutes each at 45 °C. Radioactive signal was detected by exposure of the washed membranes to a storage phosphor screen, which was scanned with a Typhoon 9400 variable-mode imager (GE Healthcare).
Mass spectrometry and comparative data analysis
Purified RNP samples were dried and dissolved in 8 M urea/0.1 M ammonium bicarbonate/10 mM DTT. After reduction, cysteines were alkylated in 30 mM iodoacetamide (Sigma). Proteins were digested with LysC (Endoproteinase LysC, Wako Chemicals) in less than 4 M urea, followed by trypsinization (Trypsin Gold, Promega) in less than 2 M urea. Digestions were halted by adding TFA and digests were desalted37 and analyzed by reversed phase nano-liquid chromatography–tandem mass spectrometry (nano-LC–MS/MS) using a Fusion Lumos (Thermo Scientific). Data were quantified and searched against the S. cerevisiae Uniprot protein database (2019) concatenated with the MS2 protein sequence and common contaminations. For the search and quantitation, MaxQuant v. 2.0.3.0 (ref. 38) was used. Oxidation of methionine and protein N-terminal acetylation were allowed as variable modifications, and all cysteines were treated as being carbamidomethylated. The ‘match between runs’ option was enabled, and false-discovery rates (FDR) for proteins and peptides were set to 1% and 2%, respectively.
Protein abundances were expressed as LFQ (label-free quantification) values. Data were analyzed using Perseus (v.1.6.10.50)39. In short, LFQ values were log2-transformed, followed by a filtering requiring that a protein must be matched in all three replicates for at least one condition. A two-tailed Student’s t-test was carried out to confirm statistical significance of data. Q values resulting from FDR correction are listed in the Source Data for Figure 3.
Statistics and reproducibility
No statistical method was used to predetermine sample size. Misaligned, damaged or contaminating particles were excluded from final reconstructions during image processing. For comparative IP–MS/MS experiments, data were filtered such that a protein must be present in all three replicates for at least one condition. During refinement, the gold-standard approach was used to randomly assign particles to half-sets of data that were independently averaged and compared to obtain resolution estimates. Other experiments did not require randomization. During single particle analysis, particles were randomly assigned into half-sets, thus no blinding was applied.
Reporting summary
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
Online content
Any methods, additional references, Nature Portfolio reporting summaries, source data, extended data, supplementary information, acknowledgements, peer review information; details of author contributions and competing interests; and statements of data and code availability are available at 10.1038/s41594-023-00947-3.
Supplementary information
Acknowledgements
We would like to thank M. Ebrahim, J. Sotiris and H. Ng at the Evelyn Gruss Lipper Cryo-Electron Microscopy Resource Center at The Rockefeller University (RRID:SCR_021146) for assistance with grid screening and data collection. Mass spectrometry data were generated by the Proteomics Resource Center at The Rockefeller University (RRID:SCR_017797) using instrumentation funded by the Sohn Conferences Foundation and the Loena M. and Harry B. Helmsley Charitable Trust, and we particularly thank H. Molina, S. Heissel and C. Peralta for assistance. We thank F. Stengel and C. Sailer for sharing cross-linking and mass spectrometry data ahead of publication, O. Buzovetsky for assistance with model building and members of the Klinge laboratory for critical reading of the manuscript. This work was supported by funding from the G. Harold and Leila Y. Mathers Foundation (MF-2104-01554) and the National Institutes of Health grant GM143181 to S.K.
Extended data
Source data
Author contributions
Z. A. S. and S. K. conceived the study, Z. A. S. performed RNA analysis, cryo-EM sample preparation, data collection, processing and model building. R. P. performed biochemical experiments and mass spectrometry analysis, A. V. B. performed cryo-EM processing and model building, and all authors wrote and edited the manuscript.
Peer review
Peer review information
Nature Structural & Molecular Biology thanks David Taylor, Alan Warren, and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Sara Osman and Dimitris Typas were the primary editors on this article and managed its editorial process and peer review in collaboration with the rest of the editorial team. Peer reviewer reports are available.
Data availability
The cryo-EM maps and atomic models have been deposited in the Electron Microscopy Data Bank (EMDB) and the Protein Data Bank (PDB): Noc1–Noc2 RNP (EMD-27919, PDB 8E5T) and Noc2–Noc3 RNP (EMD-27910). Raw unaligned multi-frame movies and aligned micrographs of the Noc1–Noc2 RNP have been deposited in the Electron Microscopy Public Image Archive (EMPIAR-11379). The starting model used for model building of the Noc1–Noc2 RNP is PDB 6C0F. Normalized log2-transformed LFQ mass-spectrometry data are provided as Source Data Fig. 3. Materials are available from S. K. upon reasonable request under a material transfer agreement with the Rockefeller University. Source data are provided with this paper.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Extended data
is available for this paper at 10.1038/s41594-023-00947-3.
Supplementary information
The online version contains supplementary material available at 10.1038/s41594-023-00947-3.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The cryo-EM maps and atomic models have been deposited in the Electron Microscopy Data Bank (EMDB) and the Protein Data Bank (PDB): Noc1–Noc2 RNP (EMD-27919, PDB 8E5T) and Noc2–Noc3 RNP (EMD-27910). Raw unaligned multi-frame movies and aligned micrographs of the Noc1–Noc2 RNP have been deposited in the Electron Microscopy Public Image Archive (EMPIAR-11379). The starting model used for model building of the Noc1–Noc2 RNP is PDB 6C0F. Normalized log2-transformed LFQ mass-spectrometry data are provided as Source Data Fig. 3. Materials are available from S. K. upon reasonable request under a material transfer agreement with the Rockefeller University. Source data are provided with this paper.