Introduction
Cytoplasmic dynein-1 (dynein) is a minus-end-directed microtubule motor that is conserved in many eukaryotes. Mutations in dynein or its regulators cause a range of neurodevelopmental and neurodegenerative diseases in humans (Lipka et al., 2013). In metazoans and some fungi, dynein transports organelles, RNAs, and protein complexes (Reck-Peterson et al., 2018). Dynein also positions nuclei and centrosomes and has a role in organizing the mitotic spindle and in the spindle assembly checkpoint (Raaijmakers and Medema, 2014). Given the essential nature of dynein in many organisms, the yeast
Both dynein and its regulation are complex. Cytoplasmic dynein is a dimer of two motor-containing AAA+ (ATPase associated with various cellular activities) subunits, with additional subunits all present in two copies. In the absence of regulatory factors, dynein exists largely in an autoinhibited ‘Phi’ conformation (Torisawa et al., 2014; Zhang et al., 2017). Active moving dynein complexes contain the dynactin complex and a coiled-coil-containing activating adaptor. We will refer to these complexes here as ‘active dynein’ or ‘dynein–dynactin–activating adaptor complexes’ (McKenney et al., 2014; Schlager et al., 2014; Trokter et al., 2012; Figure 1A). Some of these activated dynein complexes contain two dynein dimers, and they move at a faster velocity than complexes containing a single dynein dimer (Elshenawy et al., 2020; Grotjahn et al., 2018; Htet et al., 2020; Urnavicius et al., 2018). About a dozen activating adaptors have been described in mammals, including members of the Hook, Bicaudal D (BicD), and Ninein families (Canty and Yildiz, 2020; Olenick and Holzbaur, 2019; Reck-Peterson et al., 2018). In yeast, the coiled-coil-containing protein Num1 is required to activate dynein in vivo (Heil-Chapdelaine et al., 2000; Lammers and Markus, 2015; Lee et al., 2003; Sheeman et al., 2003) and is likely a dynein-activating adaptor.
Figure 1.
A 3.1 Å structure of the yeast dyneinE2488Q–(Lis1)2 complex.
(A) Lis1 assists in the transition from autoinhibited dynein to activated dynein complexed with dynactin and an activating adaptor protein. (B) Schematic representation of the different modes of binding of Lis1 to dynein as a function of nucleotide state at AAA3. (C, D) Cryo-EM map (C) and model (D) of the AAA3-WalkerB mutant, dyneinE2488Q, with Lis1 bound at sitering and sitestalk. (E–G) Close-up views of the interfaces between (E) dyneinE2488Q and Lis1 at sitering, (F) dyneinE2488Q and Lis1 at sitestalk, and (G) of the Lis1ring-Lis1stalk interface.
Figure 1—figure supplement 1.
Details of cryo-EM data processing.
(A) Workflow for cryo-EM data processing. Steps highlighted in teal were implemented in cryoSPARC while all others were carried out in Relion 3.0. (B) Cryo-EM map of the dyneinE2448Q-(Lis1)2 complex colored by local resolution. (C) Fourier shell correlation (FSC) plot.
Figure 1—figure supplement 2.
Examples of cryo-EM map quality for binding sites.
(A–D) Regions of the cryo-EM map corresponding to key residues for (A) the sitering interaction at AAA4, (B) the sitering interaction at AAA5, (C) the sitestalk interaction, and (D) the Lis1ring-Lis1stalk interface, with insets showing the location of the close-up in the full structure. (E–H) Regions of the cryo-EM map corresponding to (E) ATP in AAA1, (F) ATP in AAA2, (G) ATP in AAA3, and (H) ADP in AAA4.
Figure 1—figure supplement 3.
3D variability analysis of dynein–(Lis1)2.
Volumes at the start and end of variability components 1 and 2 were calculated using the 3DVA display job in cryoSPARC. (A) The first variability component describes motion observed in the linker domain. The first and last volumes were colored light gray/light purple and dark gray/dark purple, respectively. (B) The second variability component reveals a subtle opening and closing motion in the AAA ring with associated movements in the buttress and stalk helices. See Video 2 as well.
Figure 2.
Interfaces involved in Lis1–dynein and Lis1–Lis1 interactions.
(A, B) Two views of the Lis1 structure, represented as a molecular surface. The β-propeller is viewed either from its narrow face (A) or the side (B). Residues located at the different interfaces formed by Lis1 in the dyneinE2488Q–(Lis1)2 complex are listed next to and color-coded on the molecular surfaces. We have included all residues within 4 Å of residues in the interacting partner. (C–F) Close-ups of the different interfaces highlighted in (A, B). Panels (C), (D), and (E) are closer views of panels (E), (F), and (G) in Figure 1, in that order. The Lis1 residues listed in (A, B) are shown in the panels, along with dynein residues discussed in the text (and shown again in later figures). (F) This panel shows the same dynein–Lis1ring interface shown in (C) but viewed from ‘above’ (relative to C). In this panel, we show residues we had previously mutated in dynein (Huang et al., 2012) and Lis1 (Toropova et al., 2014) to disrupt this interaction.
In addition to dynactin and an activating adaptor, dynein function in vivo also requires Lis1. Genetically, Lis1 is a positive regulator of dynein function (Geiser et al., 1997; Liu et al., 1999; Xiang et al., 1995) and is required for most, if not all, dynein functions in many organisms (Markus et al., 2020). In humans, mutations in both Lis1 (
How does Lis1 act as a positive regulator of dynein motility at a mechanistic level? Recently, Lis1 was shown to play a role in forming active dynein complexes, most likely by disrupting dynein’s autoinhibited Phi conformation (Elshenawy et al., 2020; Htet et al., 2020; Marzo et al., 2020; Qiu et al., 2019). Human dynein–dynactin–activating adaptor complexes formed in the presence of Lis1 are more likely to contain two dynein dimers and move at a faster velocity in vitro (Elshenawy et al., 2020; Htet et al., 2020), consistent with a previous study showing that Lis1 increases both the frequency and velocity of motile dynein–dynactin–BICD2 complexes (Baumbach et al., 2017). Studies in
Prior to this series of discoveries, we and others had described other effects that Lis1 has on dynein’s mechanochemistry in vitro. It is likely that these in vitro readouts provide mechanistic insights into different intermediates during dynein activation by Lis1. One common theme in these studies was that the presence of Lis1 causes dynein to bind microtubules more tightly under some nucleotide conditions (DeSantis et al., 2017; Htet et al., 2020; Huang et al., 2012; McKenney et al., 2010; Yamada et al., 2008), which in the context of a moving molecule correlates with decreased velocity (DeSantis et al., 2017; Huang et al., 2012; Yamada et al., 2008) or an increased ability of dynein to remain bound to microtubules under load (McKenney et al., 2010). In yeast, the nucleotide state of dynein’s AAA3 domain seems to regulate this as Lis1 (called Pac1 in yeast, referred to as ‘Lis1’ here) induces a weak microtubule binding state in dynein when the nucleotide bound at AAA3 is ATP or an ATP mimic (DeSantis et al., 2017). These different modes of dynein regulation by yeast Lis1 correlate with the number of Lis1 ß-propellers observed interacting with dynein by cryo-EM, with a single ß-propeller bound to dynein at sitering in the absence of nucleotide at AAA3, and two ß-propellers bound to dynein at sitering and sitestalk when the nucleotide at AAA3 is ATP or an ATP mimic (DeSantis et al., 2017). Genetically, mutations that link nucleotide hydrolysis at AAA3 to Lis1 have also been reported (Qiu et al., 2021; Willins et al., 1997; Zhuang et al., 2007). While it remains to be determined how the readouts described above or other in vitro readouts of Lis1 regulation of dynein (Baumbach et al., 2017; Gutierrez et al., 2017; Jha et al., 2017; Marzo et al., 2020; Wang et al., 2013) relate to Lis1’s in vivo function, they serve as powerful tools to test structure/ function predictions (DeSantis et al., 2017; Toropova et al., 2014).
Despite this progress, a full understanding of how Lis1 regulates dynein has been hampered by the lack of high-resolution structures of dynein–Lis1 complexes. Here, we report a 3.1 Å structure of yeast dynein bound to two Lis1 ß-propellers. This is the first high-resolution structure of the dynein–Lis1 complex and reveals in molecular detail the contacts between yeast dynein and Lis1 at both sitering and sitestalk and the interface between two Lis1 ß-propellers. We use this structure to interrogate the dynein–Lis1 interaction both in vitro and in vivo, showing that these contacts are important for yeast Lis1’s role in nuclear positioning in vivo. Finally, we show that mutating sitering and sitestalk in human dynein impacts Lis1’s ability to promote the formation of activated human dynein complexes, demonstrating that the Lis1 binding sites on dynein that are required for in vivo function in yeast are the same sites that are important for human dynein–dynactin–activating adaptor complex formation. Our results point to a conserved model for dynein regulation by Lis1.
Results
3.1 Å structure of a yeast dynein–Lis1 complex
Previously, we determined structures of a
This approach allowed us to determine the structure of yeast dyneinE2448Q bound to wild-type yeast Lis1 in the presence of ATP vanadate to a nominal resolution of 3.1 Å (Figure 1C and D, Figure 1—figure supplement 1A–C, Figure 1—figure supplement 2, Video 1, Supplementary file 2). In our structure, dyneinE2488Q’s AAA ring is ‘closed,’ which is seen when dynein’s microtubule binding domain is in its low-affinity state, the linker is bent (Bhabha et al., 2014; Schmidt et al., 2015), and when two Lis1 ß-propellers interact with dynein (DeSantis et al., 2017). It is likely that the two ß-propellers come from the same homodimer as we did not detect density for additional ß-propellers during data processing. This new high-resolution map allowed us to build an atomic model of the entire yeast dyneinE2488Q–(Lis1)2 complex (Figure 1D, Video 1). Binding of Lis1 at sitering primarily involves the smaller face of the ß-propeller in Lis1 and an alpha helix in AAA4 of dyneinE2488Q (Figures 1E and 2A–C, Figure 1—figure supplement 2A, Video 2). Our high-resolution structure also allowed us to unambiguously map an additional interaction between dyneinE2488Q and Lis1 at sitering that involves a contact with a loop in AAA5 (Figures 1E and 2C, Figure 1—figure supplement 2B, Video 2). Lis1 binds to dynein at sitestalk using its side and makes interactions with coiled-coil 1 (CC1) of dynein’s stalk, as well as a previously unknown contact with a loop in AAA4 (residues 2935–2942) (Figures 1F and 2A, B and D, Figure 1—figure supplement 2C, Video 2). As suggested by the continuous density in our previous low-resolution structure (DeSantis et al., 2017), the Lis1s bound at sitering and sitestalk directly interact with each other (Figure 1G, Figure 1—figure supplement 2D, Figure 2A, B and E, Video 2). Our model of the dyneinE2488Q–(Lis1)2 complex confirmed that residues we had previously mutated, either on dynein (Huang et al., 2012) or on Lis1 (Toropova et al., 2014), to disrupt the sitering interaction based on much lower resolution information, are indeed located at the interface (Figure 2F). The ATP binding sites at AAA1, AAA2, AAA3, and AAA4 are all occupied by nucleotides (Figure 1—figure supplement 2E–H). While our map shows ADP bound at AAA4 (Figure 1—figure supplement 2H), we were unable to resolve whether ATP or ADP-vanadate was bound at AAA1-AAA3 and chose to model ATP into each binding pocket (Figure 1—figure supplement 2E–H).
Video 1.
A 3.1 Å structure of the dynein–Lis1 complex.
Overview of the dynein–(Lis1)2 complex. The key interactions between dynein and Lis1 at sitering and sitestalk, as well as the Lis1–Lis1 interface, are highlighted.
Video 2.
Interfaces involved in Lis1–dynein and Lis1–Lis1 interactions.
Overview of the different interfaces involved in the formation of the dynein–(Lis1)2 complex. This movie accompanies Figure 2 and uses the same color coding. Please refer to Figure 2 and its legend for details.
Dynein is a dynamic protein and undergoes multiple conformational changes as part of its mechanochemical cycle. ATP binding and hydrolysis at AAA1 leads to a cascade of conformational changes including closing of the AAA ring, shifting of the buttress and stalk helices, and swinging of the linker domain during its power stroke cycle (Cianfrocco et al., 2015). While the AAA ring domain of dynein reached the highest resolution in our structure, the linker and stalk helices are at significantly lower resolutions, most likely due to conformational heterogeneity (Figure 1—figure supplement 1B). We used 3D variability analysis (Punjani and Fleet, 2021) in cryoSPARC to generate variability components that capture continuous movements within the complex; the first two components describe the major movements. The first variability component shows the linker pulling away from its docked site at AAA2 and starting to straighten towards AAA4 in what could be the beginning of the power stroke (Figure 1—figure supplement 3A, Video 3). The second variability component shows the AAA ring ‘breathing’ slightly between its open and closed conformations, with associated movements in the buttress and stalk helices (Figure 1—figure supplement 3B, Video 3). Importantly, all the interactions involving Lis1—with sitering and sitestalk and at the Lis1–Lis1 interface—are maintained in the different conformations.
Video 3.
3DVA analysis of dynein bound to Lis1.
3DVA analysis reveals conformational changes along the first two variability components. The first variability component describes motion attributed to the linker pulling away from AAA2. The second variability component describes changes in the overall motor domain as it undergoes subtle open and closing motions in the AAA ring.
Yeast Lis1’s interaction with dynein’s AAA5 contributes to regulation at sitering
Next, we sought to validate the new interactions we identified in our structure of the yeast dyneinE2448Q–(Lis1)2 complex. To do this, we chose well-established in vitro and in vivo assays with clear readouts for any defects in dynein regulation by Lis1 (DeSantis et al., 2017; Reck-Peterson et al., 2006). The first site we investigated was the interaction of Lis1 with dynein at sitering. The bulk of the yeast dyneinE2488Q–(Lis1)2 interface at sitering comprised a helix in AAA4 of dynein, mutations in which disrupt yeast Lis1 binding to dynein (Huang et al., 2012). Here, we set out to determine if the additional contact we observed at sitering involving AAA5 (Figure 3A) also contributes to dynein regulation by Lis1. To disrupt this electrostatic interaction (Figure 3A), we either mutated Lis1’s Glu253 and His254 to Ala or deleted dynein’s Asn3475 and Arg3476, which are both present in a short loop (Figure 3A). These mutations were engineered into the endogenous copies of either Lis1 (
Figure 3.
Lis1 regulation of dynein at sitering.
(A) Close-up of the interface between Lis1 and dynein AAA5 at sitering. The residues mutated in this study on Lis1 (gray type) and dynein (orange type) are indicated. The inset shows the location of the close-up in the full structure. (B) Example images of normal and binucleate cells. Scale bar, 3 μm. (C) Quantitation (mean ± s.e.m.) of the percentage of cells displaying an aberrant binucleate phenotype for WT (dark gray), Lis1 deletion (white), and Lis1 E253A, H254A (orange). n = 6 replicates with at least 200 cells per condition. Statistical analysis was performed with a one-way ANOVA with Tukey’s multiple comparison test; ***WT and ΔLis1, p=0.0009; ***WT and Lis1 E253A, H254A, p=0.0007; ns, p>0.9999. (D) Quantitation (mean ± s.e.m.) of the percentage of cells displaying an aberrant binucleate phenotype for WT (dark gray), Lis1 deletion (white), and dyneinΔN3475, R3476 (dark orange). n = 3 replicates with at least 200 cells per condition. Statistical analysis was performed with a one-way ANOVA with Tukey’s multiple comparison test; **p=0.0053; *p=0.0215; ns, p=0.4343. (E) Quantitation of the apparent binding affinity of dyneinWT for Lis1WT (dark gray; Kd = 113.1 ± 9.0) and Lis1 E253A, H254A (light gray; Kd = 195.1 ± 16.0) and dyneinΔN3475, R3476 for Lis1WT (orange; Kd = 200.7 ± 12.5) and Lis1E253A, H254A (brown; Kd = 205.0 ± 12.9). n = 3 replicates per condition. Statistical analysis was performed using an extra sum-of-squares
Figure 3—figure supplement 1.
Western blot analysis of Lis1 and dynein mutant expression.
We next characterized the biochemical properties of these mutations designed to disrupt yeast Lis1’s interaction with AAA5. We began by measuring the apparent binding affinity between a Lis1 dimer and a monomeric dynein motor domain. For these experiments, purified SNAP-tagged yeast Lis1 was covalently coupled to magnetic beads, mixed with purified yeast dynein motor domains in the presence of ADP, and the percentage of dynein bound to the beads was quantified. We found that mutations at the Lis1–AAA5 interface, either on Lis1 (Lis1E253A, H254A) or on dynein (dyneinΔN3475, ΔR3476), led to an ~1.75-fold decrease in the affinity of Lis1 for dynein (Figure 3E). Next, we looked at Lis1’s effect on dynein’s interaction with microtubules. Previously, we showed that tight microtubule binding by dynein in the presence of ATP is mediated by sitering, whereas Lis1-induced weak microtubule binding in the presence of ATP-Vi requires both sitering and sitestalk (DeSantis et al., 2017). For these experiments, we used purified yeast Lis1 dimers and truncated and GST-dimerized yeast dynein motors (Reck-Peterson et al., 2006). These GST-dynein dimers have been well characterized and behave similarly to full-length yeast dynein in vitro (Gennerich et al., 2007; Reck-Peterson et al., 2006). As expected for a mutation that would disrupt Lis1’s interaction at sitering, we found that Lis1E253A, H254A decreased Lis1’s ability to enhance the binding of dynein to microtubules in the presence of ATP (Figure 3F). In contrast, Lis1E253A, H254A did not affect Lis1’s ability to lower dynein’s affinity for microtubules in the presence of ATP-Vi (Figure 3G).
Finally, we measured the effect of disrupting the Lis1–AAA5 interaction on the velocity of dynein using a single-molecule motility assay. Unlike mammalian dynein,
Identification of yeast Lis1 mutations that specifically disrupt regulation at sitestalk
After interrogating the interaction between yeast Lis1 and dynein at sitering, we turned to sitestalk. Previously, we identified amino acids in yeast dynein’s stalk (E3012, Q3014, and N3018) that were required for the Lis1-mediated decrease in dynein’s affinity for microtubules in the presence of ATP-Vi (DeSantis et al., 2017). However, the resolution of our previous structure was not high enough to accurately dock in a homology model of the yeast Lis1 ß-propeller at this site. Our new structure revealed this interaction in molecular detail, showing a new contact between yeast Lis1 and dynein’s sitestalk involving a short loop in AAA4 of dynein (Figure 4A). To determine if this contact plays a role in yeast dynein regulation by Lis1, we mutated Ser248 in the endogenous copy of Lis1 to Gln to introduce a steric clash with the loop in dynein’s AAA4 (Figure 4A). In a nuclear segregation assay, yeast cells expressing Lis1S248Q at wild-type levels (Figure 3—figure supplement 1) showed a defect in nuclear segregation (Figure 4B). Thus, this new contact at sitestalk between AAA4 of dynein and Lis1 is also required for Lis1’s ability to regulate dynein in vivo.
Figure 4.
Lis1 regulation of dynein at sitestalk.
(A) Close-up view of the Lis1–dynein interface at sitestalk. The residues at the interface are shown, and the S248 mutated in this study is labeled. The inset shows the location of the close-up in the full structure. (B) Quantitation of the percentage of cells (mean ± s.e.m.) displaying an aberrant binucleate phenotype for WT (dark gray), Lis1 deletion (white), and Lis1S248Q (yellow). n = 6 replicates of at least 200 cells each per condition. Statistical analysis was performed with a one-way ANOVA with Tukey’s multiple comparison test; ***p=0.0009; **p=0.0028; ns, p=0.9908. WT and ΔLis1 data repeated from Figure 2. (C) Quantitation of the apparent binding affinity of dynein for Lis1WT (dark gray; Kd = 113.1 ± 9.0) and Lis1S248Q (yellow; Kd = 162.0 ± 12.9). n = 3 replicates per condition. Statistical analysis was performed using an extra sum-of-squares
We next probed the role of this new contact in vitro. Since Ser248 is only involved in the interaction between Lis1 and sitestalk, Lis1S248Q should maintain its ability to bind to and regulate sitering. In agreement with this, we found that Lis1S248Q showed a moderate decrease in binding affinity for dynein monomers (Figure 4C). Similarly, Lis1S248Q remained capable of inducing tight microtubule binding in the presence of ATP (regulation at sitering) (Figure 4D), but failed to decrease microtubule binding in the presence of ATP-Vi (loss of regulation at sitestalk) (Figure 4E). This makes Lis1S248Q the first Lis1 mutant capable of specifically targeting regulation at sitestalk.
The interaction between the two yeast Lis1 ß-propellers is required for regulation at sitestalk
The resolution of our new structure allowed us to build models for yeast Lis1, revealing the interface between the two Lis1 ß-propellers when they are bound to dynein at both sitering and sitestalk (Figure 5A). The Lis1–Lis1 interface is moderately hydrophobic with a few electrostatic interactions. To test if this interface is required for dynein regulation in yeast, we aimed to disrupt it with the following mutations: F185D and I189D to introduce charge clashes, and R494A to remove a hydrogen bond. In a nuclear segregation assay, Lis1F185D, I189D, R494A, which is expressed at wild-type levels (Figure 3—figure supplement 1), resulted in a binucleate yeast cell phenotype that was comparable to that seen with deletion of Lis1 (Figure 5B). Thus, the interaction between Lis1 β-propellers is required for Lis1’s ability to regulate dynein in vivo.
Figure 5.
Role of the Lis1ring–Lis1stalk interaction in Lis1’s regulation of dynein.
(A) Close-up of the interface between the two Lis1 ß-propellers. The residues mutated in this study are indicated. The inset shows the location of the close-up in the full structure. (B) Quantitation (mean ± s.e.m.) of the percentage of cells displaying an aberrant binucleate phenotype for WT (dark gray), ΔLis1 (white), and Lis1F185D, I189D, R494A (light gray). n = 6 replicates of at least 200 cells each per condition. Statistical analysis was performed with a one-way ANOVA with Tukey’s multiple comparison test; *** WT and ΔLis1, p=0.0009; ***WT and Lis1 F185D, I189D, R494A, p=0.0008; ns, p>0.9999. WT and ΔLis1 data repeated from Figure 2. (C) Quantitation of the binding affinity of dynein for Lis1WT (dark gray; Kd = 113.1 ± 9.0) and Lis1F185D, I189D, R494A (light gray; Kd = 136.8 ± 11.4). n = 3 replicates per condition. Statistical analysis was performed using an extra sum-of-squares
In vitro, Lis1F185D, I189D, R494A has an affinity for dynein comparable to that of wild-type Lis1 (Figure 5C). In microtubule binding assays, this mutant showed no defects in its ability to stimulate tight microtubule binding by dynein in the presence of ATP (regulation at sitering) (Figure 5D). In contrast, not only did Lis1F185D, I189D, R494A lose its ability to decrease dynein’s affinity for microtubules in the presence of ATP-Vi (loss of regulation at sitestalk), it increased it (Figure 5E). This behavior was most similar to what we had previously observed when we mutated dynein’s sitestalk (E3012A, Q3014A, N3018A), a mutation that also led to a Lis1-dependent increase in microtubule binding in the presence of ATP-Vi (DeSantis et al., 2017). Thus, our data show that regulation of dynein at sitestalk requires both binding at sitestalk, which would not be disrupted in Lis1F185D, I189D, R494A, and the interaction between Lis1’s ß-propellers, which would.
Given the importance of the Lis1–Lis1 interaction for Lis1’s regulation of dynein at sitestalk, we wondered what prevents Lis1 from binding there when dynein’s ring is in its open conformation (high affinity for the microtubule) as our data showed that this interaction plays no role in Lis1’s regulation at sitering. A comparison of our structure of dyneinE2488Q –(Lis1)2 (with dynein’s ring in its closed conformation) with that of yeast dynein in an open-ring conformation (PDB: 4AKI; Schmidt et al., 2012) showed that while sitering is very similar in both structures, sitestalk has shifted ~3 Å and rotated 20° away from where Lis1stalk would be located (Figure 5F). This suggests that the interaction between the two Lis1 ß-propellers prevents Lis1 from binding to dynein at sitestalk when dynein is in its open-ring state (high affinity for the microtubule), as we had hypothesized previously (DeSantis et al., 2017).
Yeast dynein–Lis1 and Lis1–Lis1 contacts are required for dynein to reach the cortex
Next, we wanted to determine how Lis1 binding to dynein at sitering and sitestalk, as well as the Lis1–Lis1 interface, contributed to dynein’s localization in yeast cells (Figure 6A and B). Yeast dynein is active at the cell cortex (Figure 6A, right panel), where it pulls on spindle pole body (SPB)-anchored microtubules to position the mitotic spindle (Adames and Cooper, 2000). Dynein reaches the cortex by localizing to microtubule plus ends either via kinesin-dependent transport or recruitment from the cytosol (Carvalho et al., 2004; Caudron et al., 2008; Markus et al., 2009). In yeast, Lis1 is required for dynein’s localization to SPBs, microtubule plus ends, and the cell cortex (Lee et al., 2003; Li et al., 2005; Markus et al., 2009; Markus and Lee, 2011; Sheeman et al., 2003). To interrogate dynein’s localization in each of the Lis1 mutant backgrounds, the endogenous copy of dynein was labeled at its carboxy terminus with 3xGFP in cells with fluorescently labeled microtubules (
Figure 6.
Lis1 binding sites on dynein have different roles in the localization of active dynein complexes.
(A) Schematic showing the sites of dynein localization in dividing yeast cells. At steady state, dynein is found at the spindle pole body (SPB [i]), the microtubule plus end (ii), and the cell cortex (iii). Cortex-associated dynein, which is associated with dynactin and the putative activating adaptors Num1, is active and pulls on SPB-attached microtubules to position the mitotic spindle (iv). (B) Our structure showing the location of the mutations that disrupt Lis1 binding at sitering, sitestalk, and the Lis1:Lis1 interface. (C) Example images of dynein localization in dividing yeast cells. Orange arrowheads point to microtubule plus ends. (D–F) Quantification of dynein localization. Bar graphs show the average number of dynein foci per cell localized to the SPB (D), microtubule plus end (E), and cortex (F) in wild type, Lis1Δ, Lis1E253A, H254A, Lis1S248Q, and Lis1F185D, I189D, R494A yeast strains. Statistical analysis was performed using a Kruskal–Wallis test; ****p<0.0001; ***p=0.0001; ns, p>0.9999. n = 120 cells per condition.
Figure 6—figure supplement 1.
Yeast dynein–Lis1 and Lis1–Lis1 contacts are required for dynein to reach the cortex.
Example images of dynein (Dyn1-3xGFP) localization in dividing yeast cells. Cells shown were genetically modified at their endogenous loci to contain a Lis1E253A, H254A (sitering), Lis1S248Q (sitestalk), or Lis1F185D, I189D, R494A (Lis1–Lis1 interphase) mutation.
Yeast Lis1 regulates dynein beyond the relief of its autoinhibited state
Recent experiments revealed that dynein mutations that disrupt its ability to form the autoinhibited Phi conformation genetically rescue phenotypes seen when Lis1 is mutated or deleted (Marzo et al., 2020; Qiu et al., 2019), suggesting that a crucial in vivo role for Lis1 is to relieve dynein autoinhibition. To understand what other roles Lis1 may have in vivo, we made a Phi-disrupting dynein mutant (dyneinD2868K) (Marzo et al., 2020) in the endogenous copy of yeast dynein and compared its phenotype to wild-type cells, cells bearing a Lis1E253A, H254A mutation (which disrupts Lis1 binding at sitering), and cells with both the dyneinD2868K and Lis1E253A, H254A mutations. We chose to perform this analysis with the sitering Lis1 mutation because this site regulates tight microtubule binding in vitro. First, we examined the in vivo phenotype of these strains by performing nuclear segregation assays. As reported above, Lis1E253A, H254A increases the percentage of binucleate cells (Figures 3C and 7A). However, introducing the dynein Phi-disrupting mutation (dyneinD2868K) into this background rescues the phenotype (Figure 7A). Does Lis1 have any additional roles in regulating yeast dynein in vivo beyond relieving its autoinhibited state? To address this, we examined dynein’s localization in live yeast cells bearing the dyneinD2868K or Lis1E253A, H254A mutations, or both, and quantified the number of dynein cortical foci per cell (Figure 7B and C). As reported previously (Marzo et al., 2020), we found that the Phi-disrupting dynein mutation, dyneinD2868K, results in a significant increase in dynein foci at the cell cortex. In contrast, when dyneinD2868K was combined with Lis1E253A, H254A we found that the number of dynein cortical foci per cell was decreased relative to dyneinD2868K alone (Figure 7B and C). This suggests that binding of Lis1 to dynein at sitering has an additional role in regulating dynein that is downstream of relieving dynein autoinhibition. We note that in published work using more sensitive in vivo assays dynein mutants that relieve autoinhibition cannot fully suppress loss of Lis1 in
Figure 7.
Yeast Lis1 regulates dynein beyond the relief of its autoinhibited state.
(A) Quantitation of the percentage of cells (mean ± s.e.m.) displaying an aberrant binucleate phenotype for WT dynein and Lis1 (dark gray), WT dynein and Lis1 E253A, H254A (orange), dynein mutated to relieve Phi autoinhibition (dyneinD2868K) and Lis1 (gray), and dyneinD2868K, Lis1 E253A, H254A (blue). n = 4 replicates of at least 200 cells per condition. Statistical analysis was performed with a one-way ANOVA with Tukey’s multiple comparison test; ***p=0.001; **p=0.0025; *p=0.036; all comparisons that are not labeled were not significant. (B) Quantification of dynein localization to the cortex. Bar graphs show the average number of dynein foci per cell localized to the cortex in WT dynein and Lis1 (dark gray), WT dynein and Lis1 E253A, H254A (orange), DyneinD2868K and Lis1 (gray), and DyneinD2868K and Lis1 E253A, H254A (blue). Statistical analysis was performed with a one-way ANOVA with Tukey’s multiple comparison test; ****p<0.0001; ***p=0.0002, and p=0.0003; **p=0.0028 and 0.0025; all comparisons that are not labeled were not significant. n = 120 cells per condition, three replicates. (C) Example images of dyneinD2868K-3xGFP localization in LisWT and Lis1E E253A, H254A dividing yeast cells.
sitering and sitestalk are important for Lis1’s role in assembling active human dynein complexes
Next, we wondered whether sitering and sitestalk were also important for dynein to form complexes with dynactin and an activating adaptor. To do this, we turned to an assay using human proteins, where Lis1 enhances the formation of dynein–dynactin–activating adaptor complexes that contain two dynein dimers, which move faster than complexes containing a single dynein dimer (Elshenawy et al., 2020; Grotjahn et al., 2018; Htet et al., 2020; Urnavicius et al., 2018; Figure 1A). To determine if human Lis1 binding to human dynein at sitering and sitestalk was important for forming these fast-moving complexes, we mutated human dynein at both sitering (K2898A, E2902G, E2903S, and E2904G) and sitestalk (E3196A, Q3198A, and N3202A) (Figure 8A); we will refer to this mutant as dyneinmut. We purified wild-type and mutant human dynein from baculovirus-infected insect cells expressing all of the dynein chains (Schlager et al., 2014) and measured the affinity of dyneinWT and dyneinmut for human Lis1. For these experiments, purified human Halo-tagged Lis1 was covalently coupled to magnetic beads, mixed with purified human dynein, and the percentage of dynein bound to the beads was quantified. Lis1 bound to dyneinmut with an apparent Kd that was nearly threefold weaker than that for dyneinWT (Figure 8B). The fact that these mutations do not completely abolish the dynein–Lis1 interaction raises that possibility that there are additional sites of dynein–Lis1 interaction and/or that there are other contacts between dynein and Lis1 at sitering and sitestalk in the human system that are not conserved in yeast.
Figure 8.
sitering and sitestalk are important for Lis1’s ability to increase dynein velocity.
(A) Structure of the human dynein motor domain (PDB: 5NUG) (Zhang et al., 2017) highlighting residues mutated at sitering and sitestalk. (B) Quantitation of the binding affinity of human Lis1 for dyneinWT (dark gray; Kd = 136.5 ± 12.8) and Dyneinmut (dark yellow; Kd = 379.6 ± 77.6). n = 3 replicates per condition. Statistical analysis was performed using an extra sum-of-squares
Figure 8—figure supplement 1.
Mutations in Lis1 reduce Lis1’s ability to increase dynein’s velocity.
(A) Single-molecule velocity of human dynein–dynactin–BicD2 complexes formed with dyneinWT (shades of gray) or dyneinmut (shades of yellow) in the absence or presence of 12.5 nM Lis1. The median and interquartile range are shown. Statistical analysis was performed with a Kruskal–Wallis test; ****p<0.0001; **p=0.0055; *p=0.0175; ns, p>0.9999. At least 350 single-molecule events were measured per condition. (B) Single-molecule velocity of dynein–dynactin–Hook3 complexes formed with dyneinWT in the absence or presence of 300 nM Lis1WT or Lis15A. The median and interquartile range are shown. Statistical analysis was performed with a Kruskal–Wallis test; ****p<0.0001. At least 150 single-molecule events were measured per condition. (C) Percentage (mean ± s.e.m.) of processive runs of dynein–dynactin–Hook3 complexes formed with dyneinWT in the absence or presence of 300 nM Lis1WT or Lis15A. n = 3 replicates per condition with each replicate including at least 200 individual single-molecule events. Statistical analysis was performed with an ANOVA; ****p<0.0001.
We next examined the single-molecule motility properties of dyneinWT and dyneinmut, complexed with human dynactin and the activating adaptor Hook3. Complexes containing dyneinmut moved at the same velocity and showed the same percentage of processive runs when compared to dyneinWT in the absence of Lis1 (Figure 8C and D). As was shown previously (Elshenawy et al., 2020; Htet et al., 2020), the velocity of dyneinWT was significantly increased by Lis1 (Figure 8C), as were the number of processive runs (Figure 8D). In contrast, dyneinmut’s velocity was only modestly increased by Lis1 (Figure 8C) and the percentage of processive runs did not significantly increase (Figure 8D). We observed a similar trend with dynein–dynactin complexes activated by BicD2 (Figure 8—figure supplement 1A). These results mirror our previous findings using a Lis1 mutant containing five point mutations (Lis15A: R212A, R238A, R316A, W340A, K360A) (Htet et al., 2020). Here, we repeated this experiment using the same proteins we used for the dyneinmut experiments and find that Lis15A and dyneinmut have similar defects in Lis1 regulation of dynein (Figure 8—figure supplement 1B and C). These data indicate that sitering and sitestalk are important for Lis1’s role in forming the activated human dynein–dynactin–activating adaptor complex.
Discussion
Previous structures of yeast dynein–Lis1 complexes (DeSantis et al., 2017; Toropova et al., 2014) were not of high enough resolution to reliably fit homology models based on the human Lis1 structure (Tarricone et al., 2004). Here, we report the first high-resolution structure of yeast cytoplasmic dynein-1E2488Q bound to Lis1, which allowed us to build an atomic model (Figure 1). The structure revealed the details of the interactions between the Lis1 ß-propellers and its two binding sites on dynein, as well as how the two ß-propellers interact with each other. Our earlier work had identified the main binding sites on yeast dynein (DeSantis et al., 2017), but not their molecular details or their counterparts on Lis1. Our previous work with wild-type human dynein and Lis1 showed that Lis1 binds to dynein at similar sites in both systems (Htet et al., 2020). The much higher resolution of our current structure also revealed additional contacts between Lis1 and dynein that were not apparent in previous cryo-EM maps; these involve interactions at sitering between Lis1 and a loop in dynein’s AAA5 domain (Figure 1E) and at sitestalk between Lis1 and a loop in dynein’s AAA4 domain (Figure 1F). Finally, being able to visualize the interface between the two Lis1 ß-propellers (Figure 1G) allowed us to test its role in the regulation of dynein by Lis1. Critical to achieving high resolution was the use of specialized streptavidin affinity grids (Han et al., 2016; Han et al., 2012; Lahiri et al., 2019), which helped overcome the preferred orientation of the sample, a major resolution-limiting factor in cryo-EM.
We used our new structure to guide mutagenesis of both yeast and human proteins to determine if the new contact sites we identified were important for dynein regulation by Lis1 in vitro and in vivo. Mutation of these sites at the endogenous alleles of yeast dynein and Lis1 revealed that they are all important for dynein and Lis1’s in vivo function in mitotic spindle positioning, which ultimately leads to nuclear segregation following mitosis. We also found that Lis1 binding to dynein at sitering and sitestalk, and the Lis1–Lis1 interface were required for dynein to reach the cell cortex, the site where active yeast dynein–dynactin complexes interact with the candidate activating adaptor, Num1 (Figure 9; Heil-Chapdelaine et al., 2000; Lammers and Markus, 2015; Lee et al., 2003; Sheeman et al., 2003).
Figure 9.
Model for Lis1 regulation of yeast dynein.
(A) Model of dynein regulation by Lis1 in
Our work also shows that the interaction of dynein and Lis1 at both sitering and sitestalk is important for the formation of active human dynein–dynactin–activating adaptor complexes containing either the Hook3 or BicD2-activating adaptors. Previously, we and others found that Lis1 was also important for the formation of activated dynein complexes containing the activating adaptors Ninl and BicDL1 (also called BicDR1) (Elshenawy et al., 2020; Htet et al., 2020). More recent work by us and others showed that the activating adaptors TRAK2 and Hook2 are almost completely reliant on Lis1 for complex formation (Christensen et al., 2021; Fenton et al., 2021). Thus, it is likely that this role for Lis1 in complex assembly, and Lis1 binding to dynein at sitering and sitestalk, will be required for dynein complex formation driven by other activating adaptors. The importance of sitering and sitestalk in both human and yeast dynein activation supports a conserved mode of Lis1 regulation of dynein.
How does Lis1 promote dynein–dynactin–activating adaptor complex assembly? Our structure of a dyneinE2488Q–(Lis1)2 complex shows that binding of Lis1 to dynein at sitering is sterically incompatible with formation of the autoinhibited Phi conformation of dynein (Zhang et al., 2017). Based on our lower resolution structures (DeSantis et al., 2017), we and others (Canty and Yildiz, 2020; Elshenawy et al., 2020; Htet et al., 2020; Markus et al., 2020; Marzo et al., 2020; Qiu et al., 2019; Xiang and Qiu, 2020) had proposed that Lis1 binding to dynein at sitering may shift the equilibrium from the Phi to an open conformation of dynein, ultimately allowing dynein complexes to assemble with dynactin and an activating adaptor (Figure 9). In yeast, dynein can be recruited to microtubule plus ends either via transport by a kinesin, Kip2 (Carvalho et al., 2004; Caudron et al., 2008; Markus et al., 2009), or by recruitment from the cytosol (Caudron et al., 2008; Markus et al., 2009). We propose that cytosolic dynein is in a Phi conformation, while dynein in the kinesin transport complex or at microtubule plus ends is no longer in its autoinhibited state (Figure 9A). The kinesin transport complex contains Lis1 (Roberts et al., 2014), and Lis1 is also required for dynein’s plus end localization (Lee et al., 2003; Sheeman et al., 2003).
Does Lis1 play additional roles in dynein complex assembly beyond disrupting dynein’s autoinhibited conformation? In our nuclear segregation assays, Phi disrupting mutants in yeast dynein completely rescued the nuclear segregation defects seen with a sitering Lis1 mutation (Figure 7). However, in more sensitive in vivo assays in both
Overall, this work and that of others suggests that the field is coalescing around a unified model for dynein regulation of Lis1 across species (Canty and Yildiz, 2020; Elshenawy et al., 2020; Htet et al., 2020; Markus et al., 2020; Marzo et al., 2020; Qiu et al., 2019; Xiang and Qiu, 2020).
Materials and methods
Yeast strain construction
The
Nuclear segregation assay
Log-phase
Live-cell imaging
Mid log-phase
Cloning, plasmid construction, and mutagenesis
The pDyn1 plasmid (the pACEBac1 expression vector containing insect cell codon-optimized dynein heavy chain [
Log-phase
Protein purification steps were done at 4°C unless otherwise indicated. Dynein constructs were purified from
Lis1 constructs were purified from
Human protein purification
Human full-length dynein, human dynein monomer, and human Lis1 constructs were expressed in Sf9 cells as described previously (Baumbach et al., 2017; Htet et al., 2020; Schlager et al., 2014). Briefly, the pDyn3 plasmid containing the human dynein genes or the pFastBac plasmid containing full-length Lis1 was transformed into DH10EmBacY chemically competent cells with heat shock at 42°C for 15 s followed by incubation at 37°C for 5 hr in S.O.C media (Thermo Fisher Scientific). The cells were then plated on LB-agar plates containing kanamycin (50 μg/mL), gentamicin (7 μg/mL), tetracycline (10 μg/mL), BluoGal (100 μg/mL), and IPTG (40 μg/mL), and positive clones were identified by a blue/white color screen after 48 hr. For full-length human dynein constructs, white colonies were additionally tested for the presence of all six dynein genes using PCR. These colonies were then grown overnight in LB medium containing kanamycin (50 μg/mL), gentamicin (7 μg/mL), and tetracycline (10 μg/mL) at 37°C. Bacmid DNA was extracted from overnight cultures using an isopropanol precipitation method as described previously (Zhang et al., 2017). 2 mL of Sf9 cells at 0.5 × 106 cells/mL were transfected with 2 µg of fresh bacmid DNA and FuGene HD transfection reagent (Promega) at a 3:1 transfection reagent to DNA ratio according to the manufacturer’s instructions. After 3 days, the supernatant containing the ‘V0’ virus was harvested by centrifugation at 200 ×
Protein purification steps were done at 4°C unless otherwise indicated. Full-length dynein and dynein monomer were purified from frozen Sf9 pellets transfected with the V1 virus as described previously (Schlager et al., 2014). Frozen cell pellets from a 400 mL culture were resuspended in 40 mL of Dynein-lysis buffer (50 mM HEPES [pH 7.4], 100 mM sodium chloride, 1 mM DTT, 0.1 mM Mg-ATP, 0.5 mM Pefabloc, 10% [v/v] glycerol) supplemented with 1 cOmplete EDTA-free protease inhibitor cocktail tablet (Roche) per 50 mL and lysed using a Dounce homogenizer (10 strokes with a loose plunger and 15 strokes with a tight plunger). The lysate was clarified by centrifuging at 183,960 ×
Lis1 constructs were purified from frozen cell pellets from 400 mL culture. Lysis and clarification steps were similar to full-length dynein purification except Lis1-lysis buffer (30 mM HEPES [pH 7.4], 50 mM potassium acetate, 2 mM magnesium acetate, 1 mM EGTA, 300 mM potassium chloride, 1 mM DTT, 0.5 mM Pefabloc, 10% [v/v] glycerol) supplemented with 1 cOmplete EDTA-free protease inhibitor cocktail tablet (Roche) per 50 mL was used. The clarified supernatant was incubated with 0.5 mL of IgG Sepharose 6 Fast Flow beads (GE Healthcare Life Sciences) for 2–3 hr on a roller. The beads were transferred to a gravity flow column, washed with 20 mL of Lis1-lysis buffer, 100 mL of modified TEV buffer (10 mM Tris–HCl [pH 8.0], 2 mM magnesium acetate, 150 mM potassium acetate, 1 mM EGTA, 1 mM DTT, 10% [v/v] glycerol) supplemented with 100 mM potassium acetate, and 50 mL of modified TEV buffer. For fluorescent labeling of Lis1 constructs with amino-terminal HaloTags, Lis1-coated beads were labeled with 200 µM Halo-TMR (Promega) for 2.5 hr at 4°C on a roller and the unbound dye was removed with a 200 mL wash with modified TEV buffer supplemented with 250 mM potassium acetate. Lis1 was cleaved from IgG beads via incubation with 0.2 mg/mL TEV protease overnight on a roller. The cleaved Lis1 was filtered by centrifuging with an Ultrafree-MC VV filter (EMD Millipore) in a tabletop centrifuge and flash frozen in liquid nitrogen.
Dynactin was purified from stable HEK293T cell lines expressing p62-Halo-3xFlag as described previously (Redwine et al., 2017). Briefly, frozen pellets collected from 160 × 15 cm plates were resuspended in 80 mL of Dynactin-lysis buffer (30 mM HEPES [pH 7.4], 50 mM potassium acetate, 2 mM magnesium acetate, 1 mM EGTA, 1 mM DTT, 10% [v/v] glycerol) supplemented with 0.5 mM Mg-ATP, 0.2% Triton X-100, and 1 cOmplete EDTA-free protease inhibitor cocktail tablet (Roche) per 50 mL and rotated slowly for 15 min. The lysate was clarified by centrifuging at 66,000 ×
Activating adaptors containing amino-terminal HaloTags were expressed in BL-21[DE3] cells (New England Biolabs) at OD 0.4–0.6 with 0.1 mM IPTG for 16 hr at 18°C. Frozen cell pellets from 2 L culture were resuspended in 60 mL of activator-lysis buffer (30 mM HEPES [pH 7.4], 50 mM potassium acetate, 2 mM magnesium acetate, 1 mM EGTA, 1 mM DTT, 0.5 mM Pefabloc, 10% [v/v] glycerol) supplemented with 1 cOmplete EDTA-free protease inhibitor cocktail tablet (Roche) per 50 mL and 1 mg/mL lysozyme. The resuspension was incubated on ice for 30 min and lysed by sonication. The lysate was clarified by centrifuging at 66,000 ×
Electron microscopy sample preparation
Monomeric yeast dyneinE2488Q was buffer exchanged into Modification Buffer (100 mM sodium phosphate, pH 8.0, 150 mM sodium chloride) and biotinylated using water-soluble Sulfo ChromaLink biotin (Sulfo ChromaLink Biotin, Cat# B-1007) in a 1:2 molar ratio for 2 hr at room temperature. Biotinylated protein was dialyzed into TEV buffer overnight at 4°C. Biotinylation of dyneinE2488Q was verified using a pull-down assay with streptavidin magnetic beads (Thermo Fisher).
Streptavidin affinity grids (SA grids) were prepared as previously described (Han et al., 2016). Just prior to use, the SA grids were washed by touching the SA side of the grid to three drops (2 × 50 μL, 1 × 100 μL) of rehydration buffer (150 mM potassium chloride, 50 mM HEPES pH 7.4, 5 mM EDTA) to remove the storage trehalose layer. For complete removal of the protective trehalose layer, rehydration buffer was manually pipetted up and down onto the SA side of the grid, and then the grid was placed onto a 100 μL drop of rehydration buffer for 10 min. This process was repeated once, and then the grid was buffered exchanged into sample buffer using five 50 μL drops of sample buffer (TEV buffer without glycerol and DTT, supplemented with 1.2 mM ATP and 1.2 mM Na3VO4). 4 μL of sample (150 nM dyneinE2488Q, 650 nM Lis1, 1.2 mM ATP, 1.2 mM Na3VO4) was applied to each grid and incubated for ~10 min inside a humidity chamber. Unbound protein was washed away by touching the sample side of the grid to three 100 μL drops of wash buffer supplemented with 150 nM dimeric yeast Lis1 (26 mM Tris pH 8, 75 mM potassium chloride, 64 mM potassium acetate, 0.85 mM magnesium acetate, 0.5 mM EGTA, 1.2 mM ATP, 1.2 mM Na3VO4). Grids were vitrified using a Vitrobot (FEI) set to 20°C and 100% humidity. Vitrobot tweezers were kept cold on ice between samples. The sample was first manually wicked inside the Vitrobot using a Whatman No. 1 filter paper, followed by the addition of 1.5 μL of sample buffer before standard blotting and vitrification proceeded (blot time: 4 s; blot force: 20).
Image collection and processing
Vitrified grids were imaged on a Titan Krios (FEI) operated at an accelerating voltage of 300 kV, and the images were recorded with a K2 Summit direct electron detector (Gatan Inc). We collected 2378 movies in super-resolution mode (0.655 Å/super-resolution pixel at the object level) dose-fractionated into 200 ms frames for a total exposure of 10 s with a dose rate of 10 electrons/pixel/s for a total fluence of 58.3 electrons/Å2. The defocus of the images varied within a range of –2.0 μm to –2.7 μm. Automated data collection was executed by SerialEM (Mastronarde, 2005).
Video frames were aligned using the dose-weighted frame alignment option in UCSF MotionCor2 (Zheng et al., 2017) as employed in Relion 3.0 (Zivanov et al., 2018). At this stage, the individual frames were corrected for the anisotropic magnification distortion inherent to the electron microscope (Grant and Grigorieff, 2015). The signal from the streptavidin lattice was removed from aligned micrographs using Fourier filtering as described previously (Han et al., 2012). Micrographs were manually inspected for defects including suboptimal ice thickness and incomplete removal of the SA lattice signal, and 46 micrographs were removed leaving 2332 micrographs for further processing. CTF estimation was carried out on the non-dose-weighted micrographs using GCTF (Zhang, 2016) using the local CTF estimation option as implemented in Appion (Lander et al., 2009). Images with CTF fits having 0.5 confidence resolution worse than 5 Å were excluded from further processing. Particles were picked using crYOLO (Wagner et al., 2019) using a training model generated from manually picked particles. The particles were extracted with a downsampled pixel size of 3.93 Å/pixel, and a single round of two-dimensional (2D) classification was carried out in Relion 3.0 to identify bad particles. Particles belonging to good 2D class averages were recentered and extracted (1.31 Å/pixel), and further processed in cryoSPARC. Ab initio models were generated with the majority of particles going into one good class displaying the characteristic features of the dynein motor domain and the WD40 rings of Lis1. Those particles were refined using the non-uniform refinement routine of cryoSPARC (Punjani et al., 2020), against the best ab initio model. This resulted in a 3.2 Å map containing 233,476 particles. We performed per-particle CTF refinement and beam tilt refinement in Relion 3.0 followed by a single round of three-dimensional (3D) classification without alignment. The particles contributing to one of the classes lead to a high-resolution reconstruction of the dynein–Lis1 complex, and those particles were further refined in Relion 3.0 to generate the final 3.1 Å map (based on the 0.143 cutoff of the gold-standard Fourier shell correlation [FSC] curve) of the dyneinE2488Q-Lis1 complex. For visualization purposes, the map was sharpened with an automatically estimated negative B-factor of 33 (as determined from the ‘PostProcess’ routine of Relion 3.0). The local resolution of the map was estimated using the ‘local resolution’ routine of Relion 3.0, and the map was low-pass filtered according to the local resolution prior to analysis. The 3-D FSC was calculated by 3dfsc version 2.5 (Tan et al., 2017) using the half-maps and the mask used for the PostProcess routine in Relion 3.0.
Model building
The yeast dyneinE2488Q-Lis1 map was segmented using Seggar (Pintilie et al., 2010) as implemented in UCSF chimera (Pettersen et al., 2004), and the atomic models of the different components were initially built to account for their respective segmented maps. A homology of the Lis1 WD40 domain was generated using I-TASSER (Roy et al., 2010), and this model was rigid body docked into the corresponding segmented map using the ‘fit in map’ routing in UCSF Chimera. Regions of the model that did not agree with the EM map were manually rebuilt using Coot (Emsley et al., 2010). The resulting model was used as a reference for Rosetta CM (Song et al., 2013) and 1200 models were generated. A hybrid model was made using the two lowest energy output models from Rosetta CM. This model was then manually placed using Coot into both Lis1 sites, and areas of disagreement between the map and the model were resolved manually.
A homology model of the yeast dynein motor domain was created in Swiss-Model (Waterhouse et al., 2018) by using the human dynein atomic model in the closed conformation (PDB: 5NUG) (Zhang et al., 2017) as a template. The resulting model was fit in the segmented map corresponding to the dynein motor domain using the ‘fit to map’ command in UCSF Chimera and manually rebuilt in Coot to improve the agreement between the atomic model and the map. The resulting model was used as a template for Rosetta CM and 700 models were generated. The lowest energy model was selected and manually placed into the map, followed by an additional round of manual rebuilding.
The resulting models of the yeast dyneinE2488Q motor domain and yeast Lis1 WD40 domains were combined and further refined against the unsegmented dyneinE2488Q-Lis1 map using an using an iterative process between Phenix Real Space Refine (Afonine et al., 2018) and manual rebuilding in Coot.
3D variable analysis (Punjani et al., 2020) was carried out in cryoSPARC using the particles and mask used in the non-uniform refinement job, resulting in the 3.2 Å map (Figure 1—figure supplement 1). Default parameters were used to solve three modes, and results were filtered to 5 Å. Results were visualized using the 3D variability display using the simple output mode with 20 frames/cluster, and then viewed using ChimeraX (Pettersen et al., 2021).
Binding curves
To assess dynein/Lis1 binding, Lis1 was first covalently coupled to 16 µL of SNAP-Capture Magnetic Beads (New England Biolabs) in 2 mL Protein Lo Bind Tubes (Eppendorf) using the following protocol. Beads were washed twice with 1 mL of modified TEV buffer. Lis1 (0–600 nM) was added to the beads and gently shaken for 1 hr. The supernatant was analyzed via SDS-PAGE to confirm complete depletion of Lis1. The Lis1-conjugated beads were washed once with 1 mL modified TEV buffer and once with 1 mL of binding buffer (10 mM Tris–HCl [pH 8.0], 150 mM potassium chloride, 2 mM magnesium chloride, 10% glycerol, 1 mM DTT, 0.1% NP40, 1 mM ADP). 20 nM wild-type dynein (monomeric motor domain) diluted in binding buffer was added to the Lis1-conjugated beads and gently agitated for 30 min. The supernatant was analyzed via SDS-PAGE, stained with SYPRO Red (Thermo Fisher), and dynein depletion was determined using densitometry in ImageJ. Binding curves were fit in Prism8 (GraphPad) with a nonlinear regression for one site binding with Bmax set to 1. Three technical replicates were collected per condition.
Single-molecule TIRF microscopy
Single-molecule imaging was performed with an inverted microscope (Nikon, Ti-E Eclipse) equipped with a 100 × 1.49 NA oil immersion objective (Nikon, Plano Apo), a ProScan linear motor stage controller (Prior), and a LU-NV laser launch (Nikon), with 405 nm, 488 nm, 532 nm, 561 nm, and 640 nm laser lines. The excitation and emission paths were filtered using appropriate single bandpass filter cubes (Chroma). The emitted signals were detected with an electron multiplying CCD camera (Andor Technology, iXon Ultra 897). Illumination and image acquisition wee controlled by NIS Elements Advanced Research software (Nikon).
Single-molecule motility and microtubule binding assays were performed in flow chambers assembled as described previously (Case 1997) using the TIRF microscopy set-up described above. Either biotin-PEG-functionalized coverslips (Microsurfaces) or No. 1-1/2 coverslips (Corning) sonicated in 100% ethanol for 10 min were used for the flow-chamber assembly. Taxol-stabilized microtubules with ~10% biotin-tubulin and ~10% fluorescent-tubulin (Alexa405- or 488-labeled) were prepared as described previously (Roberts et al., 2014). Flow chambers were assembled with taxol-stabilized microtubules by incubating sequentially with the following solutions, interspersed with two washes with assay buffer (30 mM HEPES [pH 7.4], 2 mM magnesium acetate, 1 mM EGTA, 10% glycerol, 1 mM DTT) supplemented with 20 µM taxol and 50 mM potassium acetate in between (1) 1 mg/mL biotin-BSA in assay buffer (3 min incubation, ethanol washed coverslips only), (2) 1 mg/mL streptavidin in assay buffer (3 min incubation), and (3) a fresh dilution of taxol-stabilized microtubules in assay buffer (3 min incubation). After flowing in microtubules, the flow chamber was washed twice with assay buffer supplemented with 1 mg/mL casein and 20 µM taxol. Three technical replicates were collected per condition.
For assays using
To assemble human dynein–dynactin–activating adaptor complexes, purified dynein (10–20 nM concentration), dynactin, and the activating adaptor were mixed at 1:2:10 molar ratio and incubated on ice for 10 min. These dynein–dynactin–activating adaptor complexes were then incubated with Lis1 or modified TEV buffer (to buffer match for experiments without Lis1) for 10 min on ice. The mixtures of dynein, dynactin, activating adaptor or dynein alone and Lis1 were then flowed into the flow chamber assembled with taxol-stabilized microtubules. The final imaging buffer contained the assay buffer with 20 µM taxol, 1 mg/mL casein, 7.5 mM potassium chloride, 71.5 mM β-mercaptoethanol, an oxygen scavenger system, and 2.5 mM Mg-ATP. The final imaging buffer also contained 60 mM potassium acetate for experiments using Hook3 as the activating adaptor and 30 mM potassium acetate for experiments with BicD2. The final concentration of dynein in the flow chamber was 0.5–1. The final concentration of Lis1 was between 12 nM and 300 nM (as indicated in the main text). Imaging was performed as above except with images taken every 300 ms for 3 min.
Single-molecule microtubule binding assay analysis
Intensity profiles of yeast dynein spots from a single-frame snapshot were generated over a 5-pixel-wide line drawn perpendicular to the long axis of microtubules in ImageJ. Intensity peaks at least twofold higher than the neighboring background intensity were counted as dynein bound to microtubules. Bright aggregates that were fivefold brighter than the neighboring intensity peaks were not counted. The average binding density was calculated as the total number of dynein spots divided by the total microtubule length in each snapshot. Normalized binding density was calculated by dividing the average binding density of dynein without Lis1 collected on the same coverslip (see above). Data plotting and statistical analyses were performed in Prism8 (GraphPad).
Single-molecule motility assay analysis
Kymographs were generated from motility movies and dynein velocity was calculated from kymographs using ImageJ macros as described (Roberts et al., 2014). Only runs that were longer than four frames (4 s) were included in the analysis. Bright aggregates, which were less than 5% of the population, were excluded from the analysis. Data plotting and statistical analyses were performed in Prism8 (GraphPad).
Microtubule co-pelleting assay
Unlabeled taxol-stabilized MTs were polymerized as above, and free tubulin was removed by centrifugation through a 60% glycerol gradient in BRB80 (80 mM PIPES-KOH pH 6.8, 1 mM magnesium chloride, 1 mM EGTA, 1 mM DTT, 20 µM taxol) for 15 min at 100,000 ×
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Abstract
The lissencephaly 1 gene,
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