| Literature DB >> 28611419 |
Christopher B Mayo1, James L Cole2,3.
Abstract
Although the antiviral kinase PKR was originally characterized as a double-stranded RNA activated enzyme it can be stimulated by RNAs containing limited secondary structure. Single-stranded regions in such RNAs contribute to binding and activation but the mechanism is not understood. Here, we demonstrate that single-stranded RNAs bind to PKR with micromolar dissociation constants and can induce activation. Addition of a 5'-triphosphate slightly enhances binding affinity. Single-stranded RNAs also activate PKR constructs lacking the double-stranded RNA binding domain and bind to a basic region adjacent to the N-terminus of the kinase. However, the isolated kinase is not activated by and does not bind single-stranded RNA. Photocrosslinking measurements demonstrate that that the basic region interacts with RNA in the context of full length PKR. We propose that bivalent interactions with the double stranded RNA binding domain and the basic region underlie the ability of RNAs containing limited structure to activate PKR by enhancing binding affinity and thereby increasing the population of productive complexes containing two PKRs bound to a single RNA.Entities:
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Year: 2017 PMID: 28611419 PMCID: PMC5469796 DOI: 10.1038/s41598-017-03047-7
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1PKR domain schematic. (a) PKR domain organization. Canonical domain boundary positions are indicated above each domain. (b) Linker sequence alignment. The alignment was generated with ClustalW[55] and prepared in JalView[56]. Residues are colored using the Zappo coloring scheme.
Figure 2Interaction of PKR with ssRNA. PKR binding to U30 ssRNA was assayed by sedimentation velocity analytical ultracentrifugation. Measurements were performed in AU75 buffer at 20 °C and 50,000 rpm using absorbance detection at 260 nm. (a) Titration of U30 with PKR represented as an overlay of g^(s*) sedimentation coefficient distribution functions. The samples contained 1 µM U30 () and 1 µM U30 plus 1 eq. (), 2 eq. (), 5 eq. (), 10 eq. (), and 15 eq. PKR (). The decrease in the U30 peak and appearance of the peak at higher S are due to complex formation. (b) Global analysis of the time difference curves. Scans within each data set were subtracted in pairs to remove time-invariant background noise and fit to a sequential 2:1 binding model using SEDANAL[53]. The data are indicated by points and the fit by solid lines. The residuals are plotted as a grayscale image in the x-y plane at z = 0. The best-fit parameters are in Table 1. (c) Activation of PKR by U30. 500 nM PKR was incubated with variable concentrations of U30 in AU75 buffer with 5 mM MgCl2 for 20 min at 32 °C. Samples were resolved by SDS-PAGE and 32P-PKR was quantified with a phosphorimager. The data are normalized to activation of PKR in the absence of activator. The error bars correspond to the standard deviation from three replicates. The inset shows a cropped image of the gel.
Sedimentation velocity analysis of PKR constructs binding to RNA.
| Protein | Nucleic Acid |
|
| RMSDa |
|---|---|---|---|---|
| Full length | U30 | 3.51 (3.49, 3.52) | 39.9 (39.4, 40.5) | 0.00662 |
| ppp-Het30 | 0.825 (0.761, 0.894) | 3.81 (3.49, 4.15) | 0.00876 | |
| Het30 | 1.07 (1.01, 1.12) | 10.8 (10.1, 11.6) | 0.00667 | |
| dsRBD | U30 | 8.42 (7.98, 8.88) | 52.3 (47.6, 57.7) | 0.00514 |
| ppp-Het30b | 5.36 (4.60, 6.31) | 9.66 (8.03, 11.6) | 0.00810 | |
| Het30b | 8.21 (7.38, 9.18) | 19.4 (16.3, 23.0) | 0.00701 | |
| 185-kinase | U30 | 31.9 (29.8, 34.2) | 68.9 (51.8, 97.5) | 0.00452 |
| 229-kinase | U30 | 1.91 (1.79, 2.05) | 7.87 (7.16, 8.64) | 0.00706 |
| ppp-Het30 | NDc | NDc | NDc | |
| Het30 | NDc | NDc | NDc | |
| ds30 | 3.80 (3.37, 4.33) | 3.27 (2.82, 3.77) | 0.00457 | |
| dT30 | 2.59 (2.44, 2.76) | 16.2 (14.5, 18.2) | 0.00630 | |
| 242-kinased | U30 | 90.0 (84.2, 96.5) | — | 0.00546 |
| ds30 | 19.9 (18.6, 21.4) | — | 0.00457 |
Parameters obtained by global nonlinear least square analysis of the sedimentation velocity data using a model of sequential binding of two proteins monomers. The values in parentheses represent the 95% joint confidence intervals obtained using the F-statistic.
aRoot mean square deviation in absorbance units.
bGood fits required that the sedimentation coefficients for the protein-RNA complexes be allowed to float to their best-fit values.
cNot determined. More than two protein monomers bind to the RNA and the data could not be reliably fit to an association model. Plots of the normalized g^(s*) distributions for these experiments are in Fig. S3.
d242-kinase data were fit to a 1:1 binding model.
Figure 3Interaction of the PKR kinase domain/basic region with RNA. Binding of 229-kinase and 242-kinase to U30 and ds30 were analyzed by sedimentation velocity. Measurements were performed in AU75 buffer at 20 °C and 50,000 rpm using absorbance detection at 260 nm. Each panel shows a titration of RNA with protein depicted as a g^(s*) sedimentation coefficient distribution. Addition of 229-kinase to U30 or ds30 causes a shift in the distributions to the right, indicating complex formation. In contrast, 242-kinase induces only a slight decrease in the peak corresponding to free U30, indicating a very weak interaction. The peak at 2.8 S at higher protein concentrations is due to free 242-kinase. The sedimentation coefficients of 242-kinase and ds30 are similar and the increase in the peak amplitude is primarily due to free protein. 229-kinase data were fit to a sequential 2:1 binding model and 242-kinase data were fit to a 1:1 binding model to extract the binding parameters displayed in Table 1.
Figure 4Activation of PKR kinase domain by ssRNA. Autophosphorylation reactions were carried out with a fixed concentration of protein and titrated with either U30 (a,c) or heparin (b,d). The basal (RNA-independent) activities of 229- and 242-kinase are much lower than the full length enzyme and are different from each other (Fig. S4). Thus, the protein concentrations were adjusted to give approximately equal extents of autophosphorylation in the absence of RNA: 1.5 µM 229-kinase and 5 µM 242-kinase. Phosphorimager scans of SDS-PAGE gels are shown in (a) and (b). The gels images are cropped to display the 32P kinase domain bands and the contrast settings within each gel are independently adjusted using using ImageQuant TL software to clearly show the intensity trends. The quantitation of 32P-incorporation is shown in (c) and (d). The error bars correspond to the standard deviation from three replicates. In (c), the activation by U30 is plotted relative to samples containing no activator. In (d), activation by heparin is normalized to the maximum signal because heparin is a potent activator and quantitation relative to the low signal in the absence of activator is not accurate. The ~100-fold increase in the heparin concentration required for maximal activation of the 242-kinase persists when the protein concentration is reduced to the same concentration used for 229-kinase (1.5 µM). Note that the maximum concentration of U30 assayed was 30 µM which is the peak of the 242-kinase heparin activation curve.
Figure 5Crosslinking analysis of PKR binding to ss-dsRNA. (a) Secondary structure of the ss-dsRNA (15-15-15) and chemical structure of 4-thiouridine. Modified uridines are highlighted in red and the sulfur responsible for photochemical crosslinking is highlighted in red in the 4-thiouridine structure. (b) Phosphorimager analysis of 32P incorporation in RNA:protein complexes following crosslinking. Full length PKR constructs containing a TEV protease site and individual domains were crosslinked to radiolabeled ss-dsRNA. TEV cleavage was performed after the crosslinking reaction. The P1′ position of the cleavage site is indicated above the lanes. Samples contained 0.5 µM RNA and 1 µM protein. One sample of dsRBD contained 10 µM protein (labeled 10x). Lanes labeled as (−) s4U contained unmodified ss-dsRNA. (c) Quantitation of RNA:protein adducts following TEV cleavage. Distributions were created by vertical integration of data from panel b.
Sedimentation velocity analysis of PKR and dsRBD binding to ss-dsRNAs.
| Protein | RNAa |
|
|
| RMSDb |
|---|---|---|---|---|---|
| PKR | 15-15-15 | 4 (2, 6) | 294 (252, 343) | — | 0.00821c |
| PKR | 0-15-0 | 138 (105, 178) | 1660 (1310, 2130) | — | 0.00906c |
| PKR | 15-5-15 | 118 (93, 150) | 853 (673, 1103) | — | 0.00667c |
| PKR | 0-5-0 | 5400 (4930, 5900) | — | — | 0.00460 |
| dsRBD | 15-15-15 | 111 (76, 160) | 190 (121, 279) | 2780 (2100, 3930) | 0.00358 |
| dsRBD | 0-15-0 | 218 (155, 300) | 1097 (961, 1249) | — | 0.00493 |
Parameters obtained by global nonlinear least square analysis of the sedimentation velocity data. The values in parentheses represent the 95% joint confidence intervals obtained using the F-statistic.
aThe three numbers indicate the length of the 5′-tail (nt), the stem (bp), and the 3′-tail (nt), respectively. Each of the RNAs contains a 5′-ppp and a tetraloop capping the stem sequence.
bRoot mean square deviation in absorbance.
cData from ref. 22.