Hostname: page-component-74656f9884-j7cmm Total loading time: 0 Render date: 2026-11-06T01:03:44.170Z Has data issue: false hasContentIssue false

The molecular choreography of protein synthesis: translational control, regulation, and pathways

Published online by Cambridge University Press:  24 June 2016

Jin Chen
Affiliation:
Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305-5126, USA Department of Applied Physics, Stanford University, Stanford, CA 94305-4090, USA
Junhong Choi
Affiliation:
Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305-5126, USA Department of Applied Physics, Stanford University, Stanford, CA 94305-4090, USA
Seán E. O'Leary
Affiliation:
Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305-5126, USA
Arjun Prabhakar
Affiliation:
Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305-5126, USA Program in Biophysics, Stanford University, Stanford, CA 94305, USA
Alexey Petrov
Affiliation:
Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305-5126, USA
Rosslyn Grosely
Affiliation:
Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305-5126, USA
Elisabetta Viani Puglisi
Affiliation:
Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305-5126, USA
Joseph D. Puglisi*
Affiliation:
Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305-5126, USA
*
* Author for correspondence: Joseph D. Puglisi, Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305-5126, USA. Tel.: 650-723-9151; Email: puglisi@stanford.edu
Rights & Permissions [Opens in a new window]

Abstract

Translation of proteins by the ribosome regulates gene expression, with recent results underscoring the importance of translational control. Misregulation of translation underlies many diseases, including cancer and many genetic diseases. Decades of biochemical and structural studies have delineated many of the mechanistic details in prokaryotic translation, and sketched the outlines of eukaryotic translation. However, translation may not proceed linearly through a single mechanistic pathway, but likely involves multiple pathways and branchpoints. The stochastic nature of biological processes would allow different pathways to occur during translation that are biased by the interaction of the ribosome with other translation factors, with many of the steps kinetically controlled. These multiple pathways and branchpoints are potential regulatory nexus, allowing gene expression to be tuned at the translational level. As research focus shifts toward eukaryotic translation, certain themes will be echoed from studies on prokaryotic translation. This review provides a general overview of the dynamic data related to prokaryotic and eukaryotic translation, in particular recent findings with single-molecule methods, complemented by biochemical, kinetic, and structural findings. We will underscore the importance of viewing the process through the viewpoints of regulation, translational control, and heterogeneous pathways.

Information

Type
Review
Copyright
Copyright © Cambridge University Press 2016 
Figure 0

Fig. 1. An architectural view of the prokaryotic ribosome. (a) The large subunit (50S) is shown in purple and the small subunit (30S) is shown in gray; the mRNA is shown in red. The positions of the tRNA-binding sites (A, aminoacyl; P, peptidyl; E, exit), the GTPase center, and the L1 stalks are indicated with yellow overlays. tRNAs bind to the ribosome at the A site, passes through the P site, and exits via the E site. The ribosome has a dimension of roughly 200 Å, making it suitable for single-molecule methods. (b) E-site lateral view of the 70S ribosome, showing the tunnel occupied by mRNA and tRNA. (c) Relative positions of the A-, P-, and E-site tRNAs, in the classical configuration, on the ribosome. The tRNAs are roughly 12–55 Å apart. Figure modified with permission from (Aitken & Puglisi, 2010).

Figure 1

Fig. 2. The prokaryotic translation cycle. Shown is a simplified model of the prokaryotic translation cycle. Initiation, mediated by initiation factors 1, 2, and 3, culminates in the joining of 30S and 50S subunits on the mRNA message primed with initiator tRNA in the P site. This complex, aided by the elongation factors Tu and G, subsequently undergoes multiple rounds of elongation. Termination, under the control of release factors 1, 2, and 3, frees the newly synthesized polypeptide upon recognition of the stop codon. Ribosomal recycling factor and elongation factor G then prepare the translational machinery for subsequent initiation events. Each of these steps are potential points of regulation and translational control. Figure modified with permission from (Marshall et al.2008).

Figure 2

Fig. 3. Visualization of direct tracking of single-molecules in ZMWs. (a) Comparison between conventional TIRF microscopy and use of zero-mode waveguides (ZMWs). At concentrations of fluorescently labeled ligands higher than 50 nM, spots are not distinguishable because of high background fluorescence (left). ZMWs overcome this limitation (right) by decreasing illumination volume by three to four orders of magnitude compared to TIRF. This allows fluorescence detection in the mM range. (b) Schematic illustration of ZMW construction. Each ZMW chip contains thousands of ZMW wells, allowing for the simultaneous monitoring of thousands of single ribosomes. Ribosomal complexes are specifically immobilized in the bottom of derivatized ZMWs using biotinylated mRNAs. (c) Arrival and departure of fluorescently labeled ligands to the immobilized ribosome are manifested through the appearance and disappearance of fluorescent pulses.

Figure 3

Fig. 4. Conformational dynamics using TIRF for smFRET. (a) A laser excitation source is totally internally reflected, resulting in an evanescent field that selectively exciting FRET donor fluorophores on ribosomal complexes that are localized within ~300 nm of the glass slide. Ribosomal complexes are specifically immobilized in the bottom of derivatized glass slide using biotinylated mRNAs. (b) A plot of the FRET efficiency (EFRET) as a function of the distance (R) between a donor fluorophore (green sphere) and an acceptor fluorophore (red sphere). When R < R0, EFRET > 0·50 (high FRET, high-energy transfer); when R = R0, EFRET = 0·50; and when R > R0, EFRET < 0·50 (low FRET, low-energy transfer). Thus, FRET is suitable for monitoring interactions and distances within 100 Å. Modified with permission from (Roy et al.2008). (c) The separated donor and acceptor fluorescence intensities emerging from single, optically resolved ribosomal complexes can be quantified and plotted as a function of time. The anti-correlated intensities of the donor Cy3 (green) dye and the acceptor Cy5 (red) dye is characteristic of FRET. Modified with permission from (Perez & Gonzalez, 2011).

Figure 4

Fig. 5. Single-molecule force methods and translation. (a) Surface immobilization and optical trapping of ribosome complexes allows direct measurement of the forces holding the ribosome on the mRNA and other interactions. Surface-immobilized ribosome complexes are manipulated by trapping an attached polystyrene bead with a focused infrared laser beam. Displacement of the bead from the center of the optical trap applies a constantly increasing force to the ribosome complex, which eventually ruptures, allowing the bead to return to the trap center. The position of the bead at the rupture event allows calculation of the stability of the ribosome:mRNA interaction. (b) Precise measurement of mRNA length reports on the ribosome's position on the mRNA. An mRNA hairpin is stretched between two polystyrene beads, one of which is held at constant force by an optical trap. Translation by the ribosome forces hairpin melting, allowing extension of the mRNA. mRNA extension, and thus ribosome position, can be followed in real-time at subnanometer precision, revealing individual translocation events. Figure modified with permission from (Uemura et al.2007) and (Wen et al.2008).

Figure 5

Fig. 6. Compositional dynamics during initiation using ZMWs. (a) Schematic of multi-color tracking of fluorescently-labeled ligands binding and departing from surface-immobilized ribosomes on ZMWs. The presence of single immobilized ribosome complexes can be identified by the scoring dye, which subsequently photobleaches. Arrival of fluorescentlylabeled ligands to the ribosome is manifested through the appearance of fluorescent pulses of the corresponding color. Disappearance of the pulse indicates either departure of the fluorescent ligand or photobleaching, which can be statistically distinguished by the lifetime of the dye. (b) Example trace of timing of IF2 and initiator tRNA binding. 30S mRNA initiation complexes were immobilized in zero-mode waveguide (ZMW) wells. The presence of single 30S complexes was identified by Alexa488 fluorescence of labeled small ribosomal subunits (blue), which photobleaches rapidly on start of observation due to the short photobleaching lifetime of the Alexa488 dye. Cy5-labeled IF2 (red), Cy3-labeled fMet-tRNAfMet (green), and Cy3·5 50S subunits (yellow) allow direct observation of molecular events during initiation. In this example trace, IF2 and tRNA arrive simultaneously and then IF2 and tRNA signals disappear due to photobleaching as both ligands are required for subsequent stable 70S complex formation. The initiation is finalized by stable arrival of 50S. Modified with permission from (Tsai et al.2012).

Figure 6

Fig. 7. Heterogeneous pathways during initiation. (a) Kinetically favored recruitment pathway for initiation factors and fMet-tRNAfMet. IF3 and IF2 are the first to bind to the 30S subunit, followed by IF1 and fMet-tRNAfMet (Milon et al.2012). The arrival of the mRNA and initiation factors is followed by 50S subunit joining, transitioning to the 70S initiation complex. GTP hydrolysis and dissociation of initiation factors transition the initiation complex to elongation. (b) Multiple pathways are possible to reach the important stages of initiation as the ribosome converges to an elongation-competent 70S initiation complex. Concentrations of initiation factors, tRNAs and ribosomal subunits all modulate the flux through the possible pathways that lead to successful initiation. After the 30S subunit binds to the mRNA, IF2 has a central role in channeling the ribosome towards elongation. At physiological concentrations of initiation factors and tRNAs, the majority of 30S PICs may be formed by IF2 bringing in the initiator tRNA to the 30S. IF2 also guides rapid and stable 50S subunit joining, while GTP hydrolysis by IF2 and its departure from the ribosome gates the stable binding of the first elongator tRNA (Tsai et al.2012). Thus, instead of a linear view as presented in part A, initiation should be viewed as heterogeneous pathways that diverge and converge on key intermediates.

Figure 7

Fig. 8. Single-molecule tRNA FRET dynamics. (a) Donor (green) and acceptor (red) fluorescence intensity traces were collected from hundreds of individual ribosome complexes containing Cy3-labeled fMet-tRNAfMet in the P site and delivered Cy5-labeled Phe-tRNAPhe to the A site. Calculated fluorescence resonance energy transfer (FRET, blue) traces were subsequently superimposed to visualize ensemble behavior. Post-synchronization to the initial appearance of FRET revealed the chronological trajectory of FRET changes as a density heat map. (b) Post-synchronized color overlays under various conditions identified three distinct FRET states. Near-cognate tRNA results in a low FRET state (codon recognition). GDPNP (a non-hydrolyzable analog of GTP) results in a medium FRET state (GTP activation and hydrolysis). Cognate tRNA quickly transitions to the high FRET state. (c) Interpretation of FRET trajectories in the context of high-resolution structural data provides a dynamic model for tRNA selection. (d) Inhibitors of tRNA selection. Both tetracycline and thiostrepton were shown to inhibit initial tRNA selection. Tetracycline inhibits progression to the GTPase-activated state. Thiostrepton may bind at the GTPase activation center, in competition with the ternary complex. Restrictocin, an enzyme shown to cleave the sarcin-ricin loop, slows GTP hydrolysis. Kirromycin interferes with tRNA accommodation, likely by inhibiting conformational changes in EF-Tu. Modified with permission from (Blanchard et al.2004a) and (Marshall et al.2008).

Figure 8

Fig. 9. Conformational dynamics within pre-translocation complexes. (a) Above: Cartoon representation of PRE complexes labeled at different positions. The approximate positions of the donor and acceptor fluorophores corresponding to each donor–acceptor labeling scheme are shown as green and red spheres, respectively. Below: donor (green)/acceptor (red) intensity traces and FRET (blue) traces versus time trajectories derived from PRE complexes undergoing thermally activated fluctuations. tRNA dynamics using FRET between P-site tRNA and A-site tRNA shows spontaneous fluctuations between 0·74 FRET (classical state) and 0·45 FRET (hybrid state). (b) L1 stalk dynamics using between Cy3-labeled L1 stalk and Cy5-labeled ribosomal protein L9 shows fluctuations between 0·56 FRET (open L1 stalk conformation) and 0·34 FRET (closed L1 stalk conformation). (c) Fluctuating contacts between the Cy5-labeled L1 stalk and Cy3-labeled P-site tRNA. The L1-tRNA signal fluctuates between 0·21 (open L1 stalk not interacting with P/P-configured tRNA) and 0·84 (closed L1 stalk interacting with P/E-configured tRNA). (d) Local inter-subunit rotation using ribosomal proteins S6 and L between 0·56 FRET (non-rotated) and 0·40 FRET (rotated). Excerpted with permission from (MacDougall & Gonzalez, 2011).

Figure 9

Fig. 10. Conformational selection and mechanism of ribosomal elongation. (a) The two global conformations of the ribosome (rotated and nonrotated) are regulated by peptide bond formation and EF-G–GTP hydrolysis and allow the ribosome to selectively bind tRNA–EF-Tu– GTP or EF-G–GTP. (b) The ribosome is separated into two global conformations: the unlocked state and the locked state. Upon peptide bond formation, the ribosome is unlocked (by the rotation of the 30S body), triggering fluctuations of the L1 stalk between open and closed states and of tRNAs between the classical and hybrid states as well as spontaneous rotations in the 30S head domain. EF-G–GTP binding then stabilizes the L1 stalk in the closed state and tRNA in the hybrid state and causes the head of the 30S subunit to rotate. GTP hydrolysis by EF-G unlocks mRNA movement, which is followed by translocation of tRNAs to the P and E sites (driven by back-rotation of the 30S body and head domains) and relocking of the ribosome and mRNA movement to preserve the reading frame. The E-site tRNA and EF-G–GDP depart rapidly, returning the ribosome to the original state.

Figure 10

Fig. 11. Structures of ribosome during pre-translocation and post-translocation intermediates. (a) Structure of tRNAs and EF-G in PRE, early POST, and late POST states. Arrangement of EF-G and tRNAs in PRE. Peptidyl-tRNA is present in an intermediate A/P state, deacylated tRNA in the P/E hybrid state. (b) Structure of EF-G and tRNAs in chimeric ap/P and pe/E states in an early POST state stabilized by fusidic acid. (c) Structure of a POST complex stabilized by fusidic acid. (d) Overlay of tRNAs and EF-G from the structures displayed in panels (a)–(c). Excerpted with permission from (Holtkamp et al.2014).

Figure 11

Fig. 12. Tracking translation over multiple codons. (a) Tracking translation in ZMWs by tRNA transit. Cy5-labeled Phe-tRNAPhe (red) and Cy2-labeled LystRNALys (blue) ternary complexes are delivered to Cy3-labeled fMet-tRNAfMet initiation complexes (green) translating a mRNA sequence encoding alternating Phe-Lys codons. The pulse sequence decodes the underlying mRNA sequence. Excerpted with permission from (Uemura et al.2010). (b) Cy5-labeled 50S subunits, ternary complexes and EF-G are delivered to surface-immobilized Cy3labeled 30S PICs, permitting the observation of ribosome conformation during multiple rounds of elongation via the intersubunit FRET signal. The arrival of FRET corresponds to 50S subunit joining during initiation and is followed by multiple cycles of high–low–high FRET, each reporting on ribosome unlocking and locking during one round of elongation. The Cy5-50S can be replaced with a nonfluorescent quencher, BHQ-2. The same Cy3 (green) intensity fluctuations can be observed. Excerpted with permission from (Aitken & Puglisi, 2010; Chen et al.2012b). (c) Substituting the traditional FRET acceptor, Cy5, with BHQ-2 allowed the use of Cy5 to label other translation components for correlation studies. The Cy3 (green) intensity reports on the conformational state of the ribosome, whereas Cy5 pulses (red) indicate arrival, occupancy and departure of ribosomal ligands (for example, EF-G).

Figure 12

Fig. 13. Secondary structure unwinding mechanism by the ribosome. (a) Structure of the 30S subunit emphasizing the ring-shaped mRNA entry site formed by the three ribosomal proteins. (b) Proposed ribosome unwinding mechanisms. The ribosome biases junction thermal fluctuations towards opening. When encountering an open junction, translocation rectifies the junction opening events. On encountering a closed junction, the pulling force on the mRNA breaks open the mRNA junction at the entry site. Excerpted with permission from (Qu et al.2011).

Figure 13

Fig. 14. Pathways during ribosomal frameshifting. (a) Schematic of the mRNA from the dnaX gene. The combination of the internal SD sequence, slippery sequence, and downstream hairpin pauses the ribosome over the slippery sequence, inducing a fraction of the ribosomes to slip backwards by one nucleotide (−1) and translate an overlapping reading frame. Below, sample traces of Cy3B (green) fluorescent intensity for frameshifted and non-frameshifted ribosomes. Frameshifted ribosomes exhibit a long pause in the rotated state, whereas non-frameshifted ribosomes translate through unaffected. (b)The first branchpoint during frameshifting is probably due to the stochastic interaction of the ribosome with the hairpin in an open or closed state, and/or formation of the SD and anti-SD pairing, that represent the shunt to either pausing or normal translation. Translocation of the paused ribosomes under the slippery sequence with the tension caused by the hairpin and SD leads to +3 translocation, but uncoupled from reverse ribosomal rotation, creating a non-canonical intermediate in translation (denoted Rotated*). The uncoupled translocation exposes the A site, to which tRNALys and EF-G sample. tRNALys sampling and accommodation to the AAG codon and EF-G action stimulates the ribosome to slip into the −1 frame. Finally, EF-G catalyses the final reverse-rotation, after which the ribosome resumes normal translation. Depending on the system and condition, other pathways probably exist.

Figure 14

Fig. 15. Molecular structure of the left-handed supra-molecular helix formed by eukaryotic polyribosomes, adapted from (Myasnikov et al.2014). Cryo-ET imaging of eukaryotic polysome reveals a left-handed supra-molecular organization. Color code: 60S subunit, blue; 40S head, red; 40S body, yellow; P-stalk, pink; expansion segment ES27L and nascent peptide, green. The central part of elongating ribosomes forms a tightly packed helical array, as seen also from the 3′-end view on the helical axis of the polysome (right panel).

Figure 15

Fig. 16. Structural features of class I release factors and their interactions with the ribosome. (a) RF1 recognizes the stop codon in the decoding center (DC) with its tripeptide anticodon (PA) loop and the conserved GGQ motif interacts with the PTC of the ribosome for peptide hydrolysis. (b) Both RF1 and RF2 have the same shown structural fold and makes an ‘induced fit’ conformational change through the dynamics of the switch loop. Figure adapted from Laurberg et al. (2008).

Figure 16

Fig. 17. Inside view of the 30S ribosomal subunit from Cyro-EM structures of 70S ribosomal complexes (RC) bound to different release factors. The RF3-bound RC shows a ‘rotated’ global conformational state of the ribosome, compared to (a) free RC, (b) RF1-bound RC, and (c) RF2-bound. RC, which all show the ‘non-rotated’ state. Figure adapted from Gao et al. (2007).

Figure 17

Fig. 18. A full multi-step pathway of translation termination, ribosome recycling, and reinitiation in relation to the rest of the translational cycle.

Figure 18

Fig. 19. Schematic overview of eukaryotic translation initiation. Numbered factors refer to the respective eIFs. The mRNA is bound at the 5′ end by the eIF4F complex, which flags the mRNA for association with the 40S subunit in the 43S multifactor complex. During scanning the 43S PIC rearranges to move the start codon into its P site, with mRNA structures removed in an ATP-dependent manner catalyzed by eIF4A. Upon recognition of the start codon by eIF2-bound Met-tRNAi, eIF1 is rapidly released, gating irreversible release of Pi from eIF2; this arrests the scanning process. In the final stages, GTP hydrolysis by eIF5B follows stable association of the 60S subunit to form the 80S initiation complex, concomitant with initiation factor release.

Figure 19

Fig. 20. Dynamics of eukaryotic translation initiation factors at the single-molecule level. (a) Dynamic binding of S. cerevisiae eIF4E to a capped, model RNA measured by FRET. Excerpted with permission from O'Leary et al. (2013). (b) Dynamics of RNA helicase activity catalyzed by human eIF4AI in the presence of eIF4H, also measured using FRET. From Sun et al. (2014). (c) Dynamics of the catalytically-essential S. cerevisiae eIF4A conformational cycle, and their dependence on eIF4B domains of eIF4G, measured by FRET. From Andreou & Klostermeier (2014).

Figure 20

Fig. 21. Cryo-electron microscopy of the eukaryotic ribosome. This technique is particularly well suited to both integrating mechanism with structure, as well as directly examining dynamics in a structural context. (a) 40S•eIF1•eIF3 structure showing locations of eIF3 subunits and eIF1. Excerpted with permission from Erzberger et al. (2014). (b) Reorientation of P-site initiator tRNA linked to eIF5B GTPase activity in the final stages of initiation, determined by cryo-EM reconstruction. From Yamamoto et al. (2014).

Figure 21

Fig. 22. Schematic of FIONA. (a) Fluorescence signal is captured by CCD camera then 2D intensity profile is fitted to Gaussian distribution. Ability to determine the center of Gaussian distribution improves as more photon is collected $\left( { \sim \sqrt N} \right)$. (b) From collected data, displacement of fluorophore (in this method paper by Selvin et al. kinesin motor protein moving on microtubule track) is tracked with nanometer accuracy (Toprak et al.2010).