Abstract
Translation is the fundamental biological process converting mRNA information into proteins. Single-molecule imaging in live cells has illuminated the dynamics of RNA transcription; however, it is not yet applicable to translation. Here, we report single-molecule imaging of nascent peptides (SINAPS) to assess translation in live cells. The approach provides direct readout of initiation, elongation, and location of translation. We show that mRNAs coding for endoplasmic reticulum (ER) proteins are translated when they encounter the ER membrane. Single-molecule fluorescence recovery after photobleaching provides direct measurement of elongation speed (5 amino acids per second). In primary neurons, mRNAs are translated in proximal dendrites but repressed in distal dendrites and display “bursting” translation. This technology provides a tool with which to address the spatiotemporal translation mechanism of single mRNAs in living cells.
Genome-wide studies have shown that protein abundance is predominantly controlled at the level of translation (1). Translational regulation allows cells to respond rapidly to environmental cues and synthesize proteins with precise timing and at specific subcellular locations (2, 3). Numerous studies have concentrated on RNA localization and its underlying mechanism (4). However, the translation of localized mRNA in living cells remains poorly understood because unlike transcription, a single-molecule method to directly image the process is lacking (5). Ensemble biochemical measurements such as ribosome profiling can provide a genome-wide measurement of translation (6, 7). Approaches that measure the association of ribosomes with mRNAs are not direct readouts of translation (8). Pulse-labeling in cell culture [stable isotope labeling with amino acids in cell culture (SILAC)] quantifies newly synthesized proteins by means of mass spectrometry (1). Cellular approaches, such as fluorescent noncanonical amino acid tagging (FUNCAT) (9) and puromycylation (10), measure overall protein synthesis but are not gene-specific. Fluorescent protein–based translation assays (11–14) require lengthy maturation of fluorophores. Recently, translating RNA imaging by coat protein knock off (TRICK) (15) distinguished previously translated from untranslated mRNAs. A single-molecule fluorescence imaging approach would complement these cellular and biochemical methods by providing precise spatiotemporal molecular information, including variance among mRNAs. Here, we describe a strategy for directly visualizing the nascent peptide (NAP) on translating mRNA with single-molecule imaging of nascent peptides (SINAPS). It provides precise parameters and reveals unpredicted phenomena of mRNA regulation in the endoplasmic reticulum (ER) and neuronal dendrites.
Development of SINAPS, a single-molecule translation assay in live cells
There are two obstacles to visualize the translation site (TLS): (i) the weak signal of the nascent chain and (ii) the background due to preexisting labeled proteins. To address the weak signal, we used the recently developed SunTag technology for signal amplification (16), which uses a genetically encoded antibody fragment, the single-chain variable fragment (scFV) of GCN4 antibody fused to a super folder green fluorescent protein (sfGFP) (scFV-sfGFP) (17). When the epitope peptide for the scFV is multimerized, multiple scFV-sfGFPs bind to a single reporter protein, rendering it visible above the fluorescence background, similar to MS2 stem loops that make the mRNA visible (Fig. 1, A and B) (18). Because the sfGFP is already mature and fluorescent, the NAP could be detected as soon as it emerges from the ribosome (Fig. 1B). In a polysome, multiple NAPs accumulate at the site of mRNA and form a bright TLS. To address the background fluorescence, we removed completed proteins by fusing the auxin-induced degron (AID) to the C terminus of the reporter in order to regulate its stability (19, 20). We inserted the protein of interest [blue fluorescent protein (oxBFP) (21)] between the SunTag and the AID (20) with a flag tag in the N terminus. The reporter mRNA included the 3′ untranslated region (3’UTR) of β-actin mRNA for cytoplasmic localization and the MS2 binding sites (MBS) for its visualization (22). The reporter (flag-SINAPS) was cloned into a lentiviral backbone for stable integration into the target cells (Fig. 1A).
The SINAPS reporter was expressed by viral infection in a U2OS human osteosarcoma cell line stably expressing two accessory proteins: the antibody scFV-sfGFP for labeling and the thermally stable rice Oryza Sativa transport inhibitor response 1 (OsTIR1) for degrading AID-containing protein (19, 23). A protein of the correct size was synthesized but became undetectable with Western blot in presence of 500 μM auxin Indole-3-acetic acid (IAA) (fig. S1). We performed single-molecule fluorescence in situ hybridization (smFISH) to detect mRNA and immunofluorescence (IF) against GFP to measure the protein (Fig. 1, C and D). The bright spots in the IF channel (green) colocalized with mRNA spots (red). The numerous dim green spots were single proteins labeled with SunTag (Fig. 1D, white arrow heads). They were used to convert the TLS intensity into the number of NAPs (maximum, 14; mean, 4.5) (Fig. 1E). We used puromycin, a tRNA analog that dissociates NAPs from the ribosomes, to verify that TLS disappeared (Fig. 1F and fig. S2, A and B); its removal (Puro/Wash) restored the TLS to steady-state levels (Fig. 1F and fig. S2, C to E). Low concentrations of the elongation inhibitor cycloheximide (CHX) increased NAPs on mRNAs (Fig. 1F and fig. S2F). We inserted varying lengths of the protein domains between SunTag and the AID to determine whether the number of NAPs scaled linearly with the length of the coding region (Fig. 1G and fig. S2G). A linear fit described the data with a slope of 0.0044 per amino acid (Fig. 1H). With the translation elongation speed determined as v = 4.7 amino acids/s, this reveals an average initiation rate of 1.3 per min (supplementary materials, Eq. 4).
Diffusion dynamics of translating RNA
To describe the dynamics of translation, we performed live cell imaging. We labeled the mRNA with MS2 coat protein (MCP) fused with Halotag (24) and applied Halo-JF549 dyes for its superior brightness and photostability (23, 25). We imaged mRNAs and TLS simultaneously using their distinct fluorescent tags (stdMCP-Halo-JF549 and scFV-sfGFP) (26) on two precisely aligned cameras (27). We observed bright TLS moving together with mRNAs (Fig. 2, A to D, and movies S1 and S2). As a control, in puromycin-treated cells there were no TLSs detected (movie S3). The brightness of the mRNA and TLS allowed accurate determination of their positions with Matlab software (28). We tracked the positions of mRNA and TLS (29) and identified TLS moving together with mRNAs (Fig. 2E) (23). We classified the tracks of mRNAs into two categories: confined and freely diffusing. For each category, we determined the fraction of mRNA tracks with TLS in each cell and defined them as translating mRNAs. Translation was independent of whether the mRNAs were confined or freely diffusing (Fig. 2F). For freely diffusing mRNAs, the diffusion coefficients (D) were measured through mean-square displacements. The translating mRNAs diffused slower on average but overlapped in their distribution with untranslating ones (Fig. 2G). The D of translating mRNA was weakly anticorrelated with TLS intensity, which is consistent with larger polysomes slowing mRNA mobility (Fig. 2H). Therefore, the mRNA mobility correlates with its translation level on average but is not an exact predictor of translation status of individual mRNAs coding for cytosolic proteins, which is different from membrane-targeted mRNAs.
Local translation on the ER
Local protein synthesis on the ER and other membrane-bound cellular compartments plays a critical role in protein trafficking to establish and maintain membrane function (30). Introducing an ER-targeting signal in the N terminus of the SINAPS reporter will target the reporter protein to the ER (Fig. 3A). Because the scFV antibody is cytoplasmic, the SunTag motif needs to be exposed to cytosol to be labeled (Fig. 3B). We fused the first 29 amino acids of cytochrome p450 to the N terminus of the reporter [cytoplasmic end of an ER signal-anchor membrane protein (CytERM)] (21). CytERM-SINAPS labeled the tubular ER structure when expressed in U2OS cells stably infected with scFV-sfGFP and OsTIR1 (fig. S3, A and B). At low expression, individual CytERM-SINAPS proteins were visible owing to their slower mobility on the membrane (fig. S3, C to E, and movie S4). Unlike mRNAs coding for cytoplasmic proteins, the majority of CytERM-SINAPS mRNAs showed confined motion (Fig. 3, C to G, and movies S5 to S7). Consistent with this, all mRNAs colocalizing with TLSs were confined and showed low mobility (Fig. 3, H to J). Confined mRNAs without bright translation sites might have recently initiated translation. In contrast, none of the freely diffusing mRNAs moved together with TLS (Fig. 3, C to J). This confirmed that the reporter proteins were inserted into the ER cotranslationally, and the mRNAs were tethered to the ER by NAPs. To further support this interpretation, when treated with puromycin the mRNAs immediately dissociated from the ER (within 2 min) and became freely diffusing particles without TLS (Fig. 3, G and K, and movies S5 and S8). These experiments demonstrate that the mRNAs are tethered to the ER only when translated.
Translation kinetics in live cells
Because the translating CytERM-SINAPS mRNA were confined and could be tracked for many minutes, we performed fluorescence recovery after photobleaching (FRAP) experiments on single TLSs (Fig. 4A). We applied a two-second pulse of diffraction-limited 491-nm laser light to bleach the selected single TLS (23). The integrated fluorescence intensity was monitored while tracking the TLS (movies S9 and S10). The fluorescence recovered over 90% of the pre-bleach value within 4 min (Fig. 4, B and E). As a control, neighboring TLS not bleached showed consistent signal throughout the experiment (Fig. 4C). In contrast, the fluorescence only recovered to ~20% of pre-bleach value when ribosomes were stalled by high concentrations of CHX (Fig. 4, D and E). To derive the recovery curve, we assumed that the scFV binds to each epitope segment with equal probability at the TLS or on mature proteins. We modeled the translation by ribosomes as a stochastic process, with constant initiation and elongation rates. The normalized recovery curve depended only on one parameter: the elongation rate of ribosomes [the gene length is a constant for a given reporter (supplementary text)]. The modeling correctly predicted the FRAP curve with Monte Carlo simulation (fig. S4). Fitting the theoretical curve to the experimentally observed data yielded the average translation elongation rate v = 4.7 ± 0.6 amino acids/s (Fig. 4E). The translation rate was in agreement with previous measurements by using ribosome profiling (v = 5.6 amino acids/s) (31). Experiments on mRNAs with different lengths of coding regions yielded similar translation rates (v = 5.6 ± 1.4 amino acids/s and v = 5.0 ± 1.1 amino acids/s) (fig. S5). These results indicate that the SINAPS reporter mRNAs undergo constitutive translation in U2OS cells.
Translation in neurons
We applied SINAPS to study local translation in neurons, where local regulation of translation is particularly important owing to polarized neuronal processes (32). We combined the OsTIR1 and scFV-sfGFP into a polycistronic plasmid with an internal ribosome entry site (IRES) (23). We expressed flag-SINAPS and OsTIR1-IRES-scFV-sfGFP in cultured primary hippocampal neurons by dual lentiviral infection. We performed smFISH and IF experiments to investigate the translation of individual mRNAs. Bright puncta in the SunTag channel colocalizing with the mRNA indicated that the mRNA was being translated (Fig. 5, A to C, and fig. S6). Although the numbers of NAPs on mRNAs in primary neurons and glia were similar to that in U2OS (Fig. 1E and fig. S6, B and E), the fraction of translating mRNAs was less (Figs. 1G and 5D), suggesting a more stringent regulation of mRNA translatability in primary cells. In addition, translation in neurons was spatially modulated. In proximal dendrites (<30 μm from soma), the percentage of translating mRNAs (~40%) was similar to that of the glial cells cultured in the same dish. However, the percentage gradually decreased as a function of distance to the soma (Fig. 5E), as low as ~10% for distal dendrites (>100 μm) (Fig. 5D). This suggests translation repression in distal dendrites (33).
To investigate the dynamics of translation, we imaged the SINAPS reporter in live neurons. We observed bright green particles, mostly in proximal dendrites, but some also distributed in distal dendrites (movie S11). They were much brighter than the fast diffusing single proteins (visible at high power). These were bona fide TLSs because puromycin treatment abolished them within 2 min (fig. S7). We focused on RNA in the distal dendrites because they showed dynamic behavior and were sparsely distributed. We tracked the TLS for 2 hours. The position and integrated intensity of TLS were determined with a tracking algorithm in order to generate the spatial trajectory and intensity trace of the sites (23). TLSs were mobile in a time scale of minutes (Fig. 6A and movies S11 to S13). The mRNA sampled several anchoring sites in dendrites while undergoing active translation. This is in contrast to the hypothesis that the RNA was translationally repressed during transport (34). The TLS intensity over time encoded the translation dynamics of the mRNA (Fig. 6B). To extract the kinetic parameters from these observations, it was necessary to deconvolve the effect of multiple ribosomes generating NAPs. We adopted a fluctuation analysis approach that was developed for transcription (5). The translation dynamics was described by an autocorrelation function G(τ) (Fig. 6C and supplementary text). We observed that many translation events occurred in a bursting fashion (movies S11 to S13): The translation was “on” or “off” with interspersed long periods of no translation at all. We modeled translation as the random telegraph model used for describing transcription kinetics. When the RNA is on, the translation is described by a stochastic process, with constant initiation and elongation rate. The autocorrelation function for this scenario has been worked out previously for modeling transcription (5). The autocorrelation function depends on the initiation rate c and a total dwell time T of NAP at TLS determined by elongation speed and the length of the coding region. When the mRNA is in the off state, there is no translation. The two states interchange randomly and have lifetimes τon and τoff, respectively. We further assumed that translations were correlated in the same on state but statistically independent between successive on states. Fitting the theoretical function to the experimental data yielded a dwell time of an individual NAP (T = 170 ± 50 s, which is consistent with the length of the reporter) and an average translation initiation rate of c = 2.1/min. The average lifetime of the on state was τon = 13 min (Fig. 6C). Alternatively, we measured the width of the translation bursts directly from intensity traces (only from the full off-on-off intensity traces), which yielded the average lifetime of bursts τon = 17 min, agreeing with the fluctuation analysis (Fig. 6D). About 20% of mRNAs underwent constitutive translation during the 2 hours of imaging (Fig. 6, E to G, and movie S14). By singling out those TLSs and analyzing them separately, we obtained a similar dwell time (T = 164 ± 24 s) but a much longer τon > 120 min, which is consistent with a constitutive translation kinetics for these mRNAs. Therefore, the elongation speed was independent of whether translation was bursting or constitutive.
Discussion
We studied translation dynamics of single mRNAs in live cells by directly imaging the “newly born” nascent peptide emerging from the ribosome. This was possible because the scFV-GCN4 had high affinity to its epitope [the dissociation constant Kd is less than 4.4 × 10−11 M for wild-type scFV-GCN4 (35)]. FRAP experiments of scFV-GCN4 bound to mitochondria showed that the off time was in the 10-min range (16). Therefore, the on rate (kon) for the scFV-GCN4 is fast (~107/M/s). The concentration of scFV-GCN4 in the cytoplasm is typically >100 nM. Therefore, the time between the NAP segment appearing from the ribosome and being bound by scFV is in the sub-second range. Each epitope peptide has 24 amino acids and takes ~5 s to synthesize. Therefore, the binding of the scFV is fast enough to track translation kinetics. The measured translation speed is consistent with the literature (31), further demonstrating the validity of the technology and that the binding of the scFV does not interfere with the translation kinetics.
Our results using single-particle tracking of mRNA and TLS support the widespread view of translation dynamics on the ER. For secretory and membrane proteins, their mRNAs show the following characteristics: (i) Translating mRNAs were tethered to the ER and show confined motion (Fig. 3, G to J). The translation-dependent tethering is universal for all signal peptides we have tested (CytERM, prolactin, and immunoglobulin heavy chain). (ii) mRNAs were translated multiple rounds on the ER because mRNA were tethered to the same location much longer than the time needed for a single round of translation. (iii) Multiple ribosomes translated the same mRNA tethered to the ER at the same time because TLS was much brighter than a single protein. And (iv) the tethering of the mRNA to the ER depended on the NAP because puromycin treatment releases mRNA from restricted motion to freely diffusing motion (Fig. 3, G and K). Therefore, our data are consistent with a “cotranslational translocation” model (7, 36) that the mRNA that contains ER-targeting signal peptide was tethered to the ER by the NAP during the initial translation. The mRNA remained on the ER because ribosomes continually initiated translation. For cytosolic proteins, their mRNAs were mainly freely diffusing. Therefore, they were mostly translated by cytosolic ribosomes, not by the ER-bound ribosomes (37, 38).
In neurons, it has been proposed that localizing mRNAs are packaged into granules and transported long distances (33). It is hypothesized that mRNAs are suppressed for translation during this transport (34). By visualizing translation of single mRNAs, we demonstrated that mRNAs with the β-actin 3’UTR are actively translated in proximal dendrites within 30 μm of the soma. Many fewer mRNAs in distal dendrites are actively translating, possibly in a repressed granule state (33). These mRNAs show a bursting translation behavior, similar to that seen for nascent mRNA during transcription (5). In addition, we found that mRNA can scan while actively translating and possibly provide newly synthesized proteins immediately for visited spines. This single-molecule methodology provides a powerful tool with which to determine the mechanism of local translation of mRNA and particularly its relationship to local neuronal activity.
The SINAPS technology provides a general approach to measure translation kinetics of single mRNAs. Because all components of the technology are genetically encoded, it can elucidate translation regulation and dynamics with unprecedented spatiotemporal precision without perturbation directly in live cells or animals. For low-abundance proteins, the degron in the reporter is not needed. Further development will be needed to study translation of endogenous genes. This work is complementary to a companion manuscript (39) that demonstrates single-molecule translation by the use of a multi-epitope reporter paired with exogenous fragment antigen-binding (FAB) antibody to detect nascent chains. The measurements for initiation and elongation agree within a factor of two, indicating that the general approach is reproducible between laboratories and different cell types.
Supplementary Material
ACKNOWLEDGMENTS
We thank X. Meng for cloning some of the constructs and Western blotting, E. L. Snapp for providing the oxBFP plasmid and the sequence of CytERM, E. Tutucci for constructive discussion and suggestions, and L. Lavis for providing JF dyes Halotag. The authors thank T. Morisaki et al. for sharing their preliminary data and the Transcription Imaging Consortium at the Janelia Research Campus of the HHMI for creating the environment for our interactions and discussions. This work was supported by NIH grant NS083085 to R.H.S.
REFERENCES AND NOTES
- 1.Schwanhäusser B, et al. Nature. 2011;473:337–342. doi: 10.1038/nature10098. [DOI] [PubMed] [Google Scholar]
- 2.Sonenberg N, Hinnebusch AG. Cell. 2009;136:731–745. doi: 10.1016/j.cell.2009.01.042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Holt CE, Schuman EM. Neuron. 2013;80:648–657. doi: 10.1016/j.neuron.2013.10.036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Buxbaum AR, Haimovich G, Singer RH. Nat. Rev. Mol. Cell Biol. 2015;16:95–109. doi: 10.1038/nrm3918. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Larson DR, Zenklusen D, Wu B, Chao JA, Singer RH. Science. 2011;332:475–478. doi: 10.1126/science.1202142. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Ingolia NT, Ghaemmaghami S, Newman JR, Weissman JS. Science. 2009;324:218–223. doi: 10.1126/science.1168978. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Jan CH, Williams CC, Weissman JS. Science. 2014;346:1257521. doi: 10.1126/science.1257521. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Wu B, Buxbaum AR, Katz ZB, Yoon YJ, Singer RH. Cell. 2015;162:211–220. doi: 10.1016/j.cell.2015.05.054. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Dieterich DC, et al. Nat. Neurosci. 2010;13:897–905. doi: 10.1038/nn.2580. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Starck SR, Green HM, Alberola-Ila J, Roberts RW. Chem. Biol. 2004;11:999–1008. doi: 10.1016/j.chembiol.2004.05.011. [DOI] [PubMed] [Google Scholar]
- 11.Aakalu G, Smith WB, Nguyen N, Jiang C, Schuman EM. Neuron. 2001;30:489–502. doi: 10.1016/s0896-6273(01)00295-1. [DOI] [PubMed] [Google Scholar]
- 12.Wang DO, et al. Science. 2009;324:1536–1540. doi: 10.1126/science.1173205. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Butko MT, et al. Nat. Neurosci. 2012;15:1742–1751. doi: 10.1038/nn.3246. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Taniguchi Y, et al. Science. 2010;329:533–538. doi: 10.1126/science.1188308. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Halstead JM, et al. Science. 2015;347:1367–1671. doi: 10.1126/science.aaa3380. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Tanenbaum ME, Gilbert LA, Qi LS, Weissman JS, Vale RD. Cell. 2014;159:635–646. doi: 10.1016/j.cell.2014.09.039. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Pédelacq JD, Cabantous S, Tran T, Terwilliger TC, Waldo GS. Nat. Biotechnol. 2006;24:79–88. doi: 10.1038/nbt1172. [DOI] [PubMed] [Google Scholar]
- 18.Bertrand E, et al. Mol. Cell. 1998;2:437–445. doi: 10.1016/s1097-2765(00)80143-4. [DOI] [PubMed] [Google Scholar]
- 19.Holland AJ, Fachinetti D, Han JS, Cleveland DW. Proc. Natl. Acad. Sci. U.S.A. 2012;109:E3350–E3357. doi: 10.1073/pnas.1216880109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Nishimura K, Fukagawa T, Takisawa H, Kakimoto T, Kanemaki M. Nat. Methods. 2009;6:917–922. doi: 10.1038/nmeth.1401. [DOI] [PubMed] [Google Scholar]
- 21.Costantini LM, Fossati M, Francolini M, Snapp EL. Traffic. 2012;13:643–649. doi: 10.1111/j.1600-0854.2012.01336.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Wu B, et al. Genes Dev. 2015;29:876–886. doi: 10.1101/gad.259358.115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Materials and methods are available as supplementary materials on Science Online.
- 24.Los GV, et al. ACS Chem. Biol. 2008;3:373–382. doi: 10.1021/cb800025k. [DOI] [PubMed] [Google Scholar]
- 25.Grimm JB, et al. Nat. Methods. 12:244–250. doi: 10.1038/nmeth.3256. [DOI] [PMC free article] [PubMed] [Google Scholar]; 2015;3:250. [Google Scholar]
- 26.Wu B, Chao JA, Singer RH. Biophys. J. 2012;102:2936–2944. doi: 10.1016/j.bpj.2012.05.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Grünwald D, Singer RH. Nature. 2010;467:604–607. doi: 10.1038/nature09438. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Lionnet T, et al. Nat. Methods. 2011;8:165–170. doi: 10.1038/nmeth.1551. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Jaqaman K, et al. Nat. Methods. 2008;5:695–702. doi: 10.1038/nmeth.1237. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Rapoport TA. Nature. 2007;450:663–669. doi: 10.1038/nature06384. [DOI] [PubMed] [Google Scholar]
- 31.Ingolia NT, Lareau LF, Weissman JS. Cell. 2011;147:789–802. doi: 10.1016/j.cell.2011.10.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Jung H, Gkogkas CG, Sonenberg N, Holt CE. Cell. 2014;157:26–40. doi: 10.1016/j.cell.2014.03.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Buxbaum AR, Wu B, Singer RH. Science. 2014;343:419–422. doi: 10.1126/science.1242939. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Doyle M, Kiebler MA. EMBO J. 2011;30:3540–3552. doi: 10.1038/emboj.2011.278. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Wörn A, et al. J. Biol. Chem. 2000;275:2795–2803. doi: 10.1074/jbc.275.4.2795. [DOI] [PubMed] [Google Scholar]
- 36.Jan CH, Williams CC, Weissman JS. Science. 2015;348:1217. doi: 10.1126/science.aaa8299. [DOI] [PubMed] [Google Scholar]
- 37.Reid DW, Nicchitta CV. Nat. Rev. Mol. Cell Biol. 2015;16:221–231. doi: 10.1038/nrm3958. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Reid DW, Nicchitta CV. Science. 2015;348:1217. doi: 10.1126/science.aaa7257. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Morisaki T, et al. Science. 2016;352:1425–1429. doi: 10.1126/science.aaf0899. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.