In this study, in order to explore the failure mode of ZnO varistors under multiple lightning strokes, a five-pulse 8/20 μs nominal lightning current with pulse intervals of 50 ms was applied to ZnO varistors. Scanning electron microscopy (SEM) and X-ray diffractometry (XRD) were used to analyze the microstructure of the material. The failure processes of ZnO varistors caused by multiple lightning impulse currents were described. The performance changes of ZnO varistors after multiple lightning impulses were analyzed from both macro and micro perspectives. According to the results of this study’s experiments, the macroscopic failure mode of ZnO varistors after multiple lightning impulses involved the rapid deterioration of the electrical parameters with the increase of the number of impulse groups, until destruction occurred by side-corner cracking. The microstructural examination indicated that, after the multiple lightning strokes, the proportion of Bi in the crystal phases was altered, the grain size of the ZnO varistors became smaller, and the white intergranular phase (Bi-rich grain boundary layer) increased significantly. The failure mechanism was thermal damage and grain boundary structure damage caused by temperature gradient thermal stress, generated by multiple lightning currents.
Because the detecting of the small target in the background of sea clutter is strongly dependent on sea condition, in this article we use fractional Brownian motion to model IPIX sea clutter and combine multifractal detrended fluctuation analysis (MF-DFA) to determine the fractal parameters for analyzing fractal and multifractal property of IPIX sea clutter. Based on the fact that Hurst parameter and fractal dimension can reflect the fractal property of data, a new parameter named fractal differential which has difference when the sea clutter with or without target is defined, thereby solving the problem of small target in sea clutter background. By comparing the multifractal parameters of two sea clutter, the experimental results show that H(q) is a special value which is bigger than zero when the sea clutter has a small target but smaller than zero when the sea clutter has no target if q is bigger than ten. Another method is proposed by using the difference of H(q). Two methods in this article can solve the problem of strong dependence of detecting the small target in different sea conditions on sea condition.
Additional file of Genome-wide identification and expression profiling of auxin response factor (ARF) gene family in maize
Due to the complexity of shipyards’ operating scenes and the inconsistency of ship parts’ type and size, current sorting operations for ship parts mainly rely on laborers, resulting in weak control over the production process and key nodes. With the gradual advancement of intelligent manufacturing technology in the shipbuilding process, the trend of machines replacing humans is obvious. In order to promote the automation of the sorting process, intelligent scene recognition and route planning algorithms are needed. In this work, we introduce a localization method based on a laser line profile sensor and ship parts layout analysis algorithm, aiming at obtaining the information needed for sorting route planning. In addition, a heuristic-based route planning algorithm is proposed to solve the built mathematical model of the ship part sorting process. The proposed method can optimize the sorting order of parts, realize stable stacking, shorten sorting distance (taking about 490 m for 43 parts), and thereby improve operation efficiency. These results show that the proposed approach can make intelligent and comprehensible sorting route planning for the ship parts layout.
Based on the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) theory, a new adaptive hybrid algorithm for sea clutter denoising is proposed. The chaotic sea clutter signals are decomposed into several intrinsic modal functions (IMF) which start from high-frequency scales to low-frequency scales by using CEEMDAN. According to the relationship between the pretreatment threshold layer and the maximum cross correlation coefficient of the original signal and each IMF corresponding the layer, the proposed algorithm can independently select the wavelet threshold denoising to pretreat. After the pretreatment of original signals, we continue to decompose the signal by CEEMDAN. And later, according to the relationship between the first local minimum corresponding the layers of two adjacent critical IMFs identified by the cross correlation coefficients of the original signal and each IMF, the proposed algorithm adaptively selects the IMFs which need to be filtered. Finally, the IMFs after filtering are reconstructed into a new signal. Rossler, Lorenz system and the measured sea clutter data were selected as examples to study, the result shows that: under the condition of low noise (SNR ≥ 5dB) and high noise (SNR ≤ 0dB), the proposed algorithm can decrease the root mean square error by at least 57% and 72% compared with wavelet threshold denoising etc, the signal to noise ration increased by 3.18-5.64db and 5.73-7.45db. Moreover, the root mean square error after sea clutter signal denoising can be reduced by one order of magnitude, reaching 0.0006147 while the model before denoising only reach 0.0084, which shows that the proposed algorithm is effective for sea clutter signal denoising.
A crisis of amplitude control can occur when a system is multistable. This paper proposes a new chaotic system with a line of equilibria to demonstrate the threat to amplitude control from multistability. The new symmetric system has two coefficients for amplitude control, one of which is a partial amplitude controller, while the other is a total amplitude controller that simultaneously controls the frequency. The amplitude parameter rescales the basins of attraction and triggers a state switch among different states resulting in a failure of amplitude control to the desired state.
As an important factor in fine thunderstorm detections, a multi-time scale thunderstorm monitoring, warning and imaging system is proposed in this paper. The first computing phase involves a decomposition, classification, denoising and reconstruction of the atmospheric electric field signals (AEFSs), collected by a self-made three-dimensional AEF apparatus, based on autocorrelation characteristics and Fuzzy <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$C$</tex-math></inline-formula> -Means (FCM). Secondly, FCM classifies the equally divided AEFS components. A scale reconstruction rule is put forward and applied to obtain multi-time scale AEF branch data, according to the component temporal continuity in the same class. A corresponding scale correction strategy is then proposed. Thunderstorm point charge coordinate results are calculated by using branch data, and noise points contained in these results are removed. Finally, the curve fitting of denoised coordinate results is performed to image the point charge moving path. Empirical results confirm that the proposed system effectively warns and images thunderstorms, as well as provides a valid reference for multi-scale thunderstorm monitoring.
When the offset boosting technique is introduced into a chaotic system for attractor shifting, the number of coexisting attractors in the system can be doubled under the application of the employed absolute-value function. Consequently, the offset booster becomes a doubling parameter determining the distance between the two coexisting attractors, and therefore can polymerize these attractors to become a pseudo-multi-scroll attractor. This paper demonstrates that the attractor doubling operation can be applied to any dimension of the system and can also be nested at any time leading to the geometric growth of the coexisting attractors. Furthermore, various regimes of coexistence can be merged and composed together to reproduce an integrated attractor in the system.
In this study, in order to explore the failure mode of ZnO varistors under multiple lightning stroke, a 5-pulse 8/20 &mu;s nominal lightning current with pulse intervals of 50 ms was applied to the ZnO varistors. Scanning electron microscopy (SEM) and X-ray diffractometry (XRD) were used to analyze the microstructure of the material. The failure processes of ZnO varistors caused by multiple lightning impulse current were described. The performance changes of ZnO varistors after multiple lightning impulses were analyzed from macro and micro perspectives. According to the results of this study&rsquo;s experiments, the macroscopic failure mode of the ZnO varistors after multiple lightning impulse was that the electrical parameters deteriorate rapidly with the increase of the number of impulse groups, and finally destroyed by side-corner cracking. The microstructural examination indicated that after the multiple lightning strokes, the proportion of Bi in the several crystal phases had been converted, the grain size of ZnO varistors became smaller, and the white intergranular phase (Bi-rich grain boundary layer) increased significantly. The failure mechanism was thermal damage and grain boundary structure damage caused by temperature gradient thermal stress generated by multiple lightning current.
Additional file of Genome-wide identification and expression profiling of auxin response factor (ARF) gene family in maize
A method for detecting weak signals embebed in chaotic noise by neural networks based on the theory of phase space reconstruction of the complicated nonlinear system is presented. One-step predictive model for chaotic background is built by neural network that possess powerful cap ability of learning and nonlinear processing. Then the weak transient signal or periodic signal which is embedded in the chaotic background can be detected from the predictive error. And the detecting ability of this method when the chaotic background is mixed with white noiseis studied. The difference in the detecting principle for the transient signal and periodic signal is pointed out. The experiment which takes the Lorenz system as chaotic background shows this method can effectively detect very weak signals embedded in the chaotic background.
Induction of heat shock protein (HSP) gene expression by stress is initiated by binding of HSF1 to HSP gene promoters to increase their transcription. The cytoprotective functions of these HSPs are essential for cell survival, and thus it is critical that inducible HSP gene expression be executed rapidly and efficiently. Here we report an interaction between heat shock factor 1 (HSF1) and symplekin, a protein known to form a complex with the polyadenylation factors CstF and CPSF. HSF1-symplekin complexes are detected only after stress treatment, and these two proteins co-localize in punctate nuclear structures in stressed cells. HSF1 also complexes in a stress-induced manner with the 3′ processing factor CstF-64. Interfering with HSF1-symplekin interaction by overexpressing a non-DNA-binding mutant HSF1 protein significantly decreases Hsp70 mRNA polyadenylation in stressed cells, supporting the functional role for HSF1 in promoting 3′ processing of this transcript. Importantly, this was also found to result in a significant loss of Hsp70 protein induction and increased cell death in response to stress exposure. These results indicate that the HSF1-symplekin interaction functions as a mechanism for recruiting polyadenylation factors to HSP genes to enhance the efficiency/kinetics of production of mature Hsp mRNA transcripts to achieve the critical cellular need for rapid HSP expression after stress. Thus, HSF1 regulates HSP gene expression at not one but two different steps of the expression pathway, functioning both as a transcription factor and a polyadenylation stimulatory factor. Induction of heat shock protein (HSP) gene expression by stress is initiated by binding of HSF1 to HSP gene promoters to increase their transcription. The cytoprotective functions of these HSPs are essential for cell survival, and thus it is critical that inducible HSP gene expression be executed rapidly and efficiently. Here we report an interaction between heat shock factor 1 (HSF1) and symplekin, a protein known to form a complex with the polyadenylation factors CstF and CPSF. HSF1-symplekin complexes are detected only after stress treatment, and these two proteins co-localize in punctate nuclear structures in stressed cells. HSF1 also complexes in a stress-induced manner with the 3′ processing factor CstF-64. Interfering with HSF1-symplekin interaction by overexpressing a non-DNA-binding mutant HSF1 protein significantly decreases Hsp70 mRNA polyadenylation in stressed cells, supporting the functional role for HSF1 in promoting 3′ processing of this transcript. Importantly, this was also found to result in a significant loss of Hsp70 protein induction and increased cell death in response to stress exposure. These results indicate that the HSF1-symplekin interaction functions as a mechanism for recruiting polyadenylation factors to HSP genes to enhance the efficiency/kinetics of production of mature Hsp mRNA transcripts to achieve the critical cellular need for rapid HSP expression after stress. Thus, HSF1 regulates HSP gene expression at not one but two different steps of the expression pathway, functioning both as a transcription factor and a polyadenylation stimulatory factor. The up-regulation of heat shock protein (HSP) 1The abbreviations used are: HSP, heat shock protein; Hsp70i, stress-inducible Hsp70; HSF1, heat shock factor 1; CHO, Chinese hamster ovary; CPSF, cleavage and polyadenylation specificity factor; CstF, cleavage stimulatory factor; GST, glutathione S-transferase. expression that occurs in response to cellular stress such as elevated temperature is mediated by heat shock transcription factor 1 (HSF1). In response to stress HSF1 is converted from a monomeric form that is unable to bind DNA to a trimeric form that binds with high affinity to heat shock elements in the promoters of HSP genes, particularly the HSP70 gene, to induce their transcription (1Christians E.S. Yan L.J. Benjamin I.J. Crit. Care Med. 2002; 30: S43-S50Crossref Scopus (188) Google Scholar, 2Pirkkala L. Nykanen P. Sistonen L. FASEB J. 2001; 15: 1118-1131Crossref PubMed Scopus (842) Google Scholar, 3Morano K.A. Thiele D.J. Gene Expr. 1999; 7: 271-282PubMed Google Scholar). The increased levels of Hsp70 and other HSP molecular chaperone proteins that result are critical for the ability of cells to survive exposure to stress conditions, and thus it is vital that the steps of HSP expression between HSF1 promoter binding and HSP mRNA translation be executed as quickly and efficiently as possible (4Naylor D.J. Hartl F.U. Biochem. Soc. Symp. 2002; 68: 45-68Google Scholar, 5Kregel K.C. J. Appl. Physiol. 2002; 92: 2177-2186Crossref PubMed Scopus (1137) Google Scholar, 6Jaattela M. Ann. Med. 1999; 31: 261-271Crossref PubMed Scopus (435) Google Scholar, 7Kaufman R.J. Biochim. Biophys. Acta. 1999; 1423: R13-R27PubMed Google Scholar). Symplekin is a protein that has been shown to interact with the polyadenylation factors CPSF and CstF, and it has been implicated as playing an important role in polyadenylation by acting as a molecular scaffold to bring both CPSF and CstF together into the same complex (8Takagaki Y. Manley J.L. Mol. Cell. Biol. 2000; 20: 1515-1525Crossref PubMed Scopus (200) Google Scholar, 9Hofmann I. Schnolzer M. Kaufmann I. Franke W.W. Mol. Biol. Cell. 2002; 13: 1665-1676Crossref PubMed Scopus (70) Google Scholar). In this study we report the identification of an interaction between HSF1 and symplekin. The results show that HSF1 interaction with symplekin is stress-dependent and that HSF1-containing complexes in stressed cells also contain the polyadenylation factor CstF-64. Further, immunofluorescence analysis demonstrates that HSF1 and symplekin colocalize in punctate bodies in the nuclei of stressed cells. Importantly, interfering with the interaction between HSF1 and symplekin results in a decreased efficiency of polyadenylation of Hsp70 mRNA transcripts in stressed cells, loss of Hsp70 protein induction, and a significant increase in cell death upon exposure to stress. These results suggest that the HSF1-symplekin interaction plays a critical role in the cellular stress response by maximizing the kinetics and efficiency of Hsp70 mRNA polyadenylation via recruitment of polyadenylation factors to HSP genes, thereby helping to ensure that cells can produce elevated levels of the Hsp70 protein as quickly as possible. GST-symplekin and His6-HSF1 Fusion Proteins and in Vitro Interaction Assays—The full-length coding region of human symplekin (amino acid resides 1–1274) was amplified from a full-length symplekin EST (expressed sequence tag) plasmid (GenBank™ AL560175) by PCR incorporating EcoRI and HindIII restriction sites and inserted into pGEX-MPB. The construct was expressed in Escherichia coli and purified by binding to glutathione-agarose beads (Sigma), washing, and elution. After extensive washing with buffer D (10Sarge K.D. Murphy S.P. Morimoto R.I. Mol. Cell. Biol. 1993; 13: 1392-1407Crossref PubMed Scopus (764) Google Scholar) with 100 mm NaCl, proteins were eluted with buffer D containing 50 mm glutathione. The pQE30-HSF1β protein construct was expressed in E. coli and purified on nickel-nitrilotriacetic acid beads (Qiagen), washed with buffer D, and incubated with 50 ng of purified GST-symplekin at 4 °C for 1 h. Beads were collected by centrifugation, washed several times with buffer D plus 100 mm NaCl, and then subjected to Western blot analysis with mouse monoclonal anti-symplekin antibodies (Transduction Laboratories). The resulting bands were quantitated from a digital image using Kodak image processing software. Cell Culture and Heat Shock Conditions—HeLa cells were cultured at 37C with 5% CO2 in Dulbecco's modified Eagle's medium with 10% fetal calf serum and 50 μg/ml gentamycin. Human erythroleukemia K562 and K562 HSF1-PD (K562 cells stably transfected with HSF1 point mutant, which lacks DNA binding ability) were the kind gifts of Stuart Calderwood (11Chen C. Xie Y. Stevenson M.A. Auron P.E. Calderwood S.K. J. Biol. Chem. 1997; 272: 26803-26806Abstract Full Text Full Text PDF PubMed Scopus (70) Google Scholar). They were cultured at 37 °C with 5% CO2 in RPMI 1640 containing 10% fetal calf serum and 50 μg/ml gentamycin. Immunoprecipitation and Immunoblotting Analysis—Nuclei were prepared from HeLa cells (≈106) by a hypotonic lysis protocol (10Sarge K.D. Murphy S.P. Morimoto R.I. Mol. Cell. Biol. 1993; 13: 1392-1407Crossref PubMed Scopus (764) Google Scholar). HeLa cell nuclear extracts were immunoprecipitated as described previously (12Hong Y. Sarge K.D. J. Biol. Chem. 1999; 274: 12967-12970Abstract Full Text Full Text PDF PubMed Scopus (39) Google Scholar) using 3 μl of anti-HSF1 polyclonal antibody or 10 μl of anti-IgG control antibody (Sigma) bound to 20 μl of protein G-Sepharose beads and then analyzed by Western blot using anti-symplekin mouse monoclonal antibody (Transduction Laboratories) or anti-CstF64 mouse monoclonal antibody (generously provided by Yoshio Takagaki, University of Virginia) (13Takagaki Y. Manley J.L. MacDonald C.C. Wilusz J. Shenk T.A Genes Dev. 1990; 4: 2112-2120Crossref PubMed Scopus (186) Google Scholar). The resulting bands were quantitated from a digital image using Kodak image processing software. Western blot analysis of Hsp70 levels was performed using antibody SPA-812 (StressGen) specific for the stress-inducible Hsp70i protein or β-actin antibody (Sigma A5441) as loading control. For Hsp70i 35S in vivo labeling/immunoprecipitation analysis, after heat treatment at 43 °C for 30 min the K562 and K562 HSF1-PD cells were washed and resuspended in prewarmed (37 °C) pulse-label medium (RPMI 1640 without methionine and cysteine, ICN) at 37 °C for 15 min to deplete intracellular pools of methionine and cysteine and then labeled with Tran35S-label (ICN) at 37 °C for 2 h. Cells were collected by centrifugation, lysed in radioimmune precipitation assay buffer (150 mm NaCl, 50 mm Tris-HCl, 1%Nonidet P-40, and 0.5% deoxycholate), and then subjected to immunoprecipitation using the anti-Hsp70i antibodies and analyzed by SDS-PAGE/autoradiography. Yeast Two-hybrid Interaction Assays—Yeast strain pJ694A was transfected with pGBD-HSF1 bait and used to screen a mouse embryo yeast two-hybrid library. The interaction between the pGBD-HSF1 and pVP16-symplekin-(1–124) was verified by streaking the yeast containing these constructs or pGBD-HSF1 bait and empty pVP16 plasmid (as negative control) on -TL, -HTL, and -ATL plates (12Hong Y. Sarge K.D. J. Biol. Chem. 1999; 274: 12967-12970Abstract Full Text Full Text PDF PubMed Scopus (39) Google Scholar). Immunofluorescence Analysis—Control and heat-treated (42 °C for times indicated) HeLa cells grown on coverslips were fixed using 2% paraformaldehyde in phosphate-buffered saline + 2% bovine serum albumin at room temperature and subjected to immunofluorescence as described previously (14Goodson M.L. Hong Y. Rogers R. Matunis M.J. Park-Sarge O.K. Sarge K.D. J. Biol. Chem. 2001; 276: 18513-18518Abstract Full Text Full Text PDF PubMed Scopus (151) Google Scholar) using 1:100 dilutions of HSF1 polyclonal antibody and symplekin mouse monoclonal antibody (Transduction Laboratories). RNase Protection Assay—To generate a probe for the human Hsp70 coding region, a 192-bp PCR product yielding a 173-nucleotide RNA transcript of which 131 nucleotides are homologous to Hsp70 sequence was amplified by sense primer 1 (5′-ttgctcctctcacatcttgttgacatctcaAGCTGGAGCAGGTGTGTGTAAC-3′; lowercase letters indicate a 30-bp nonhomologous sequence) and antisense primer 2 (5′-TAATACGACTCACTATAGGacgtccgtgacgATCTACCTCCTCAATGGTG-3′; a 19-bp T7 promoter is underlined, and lowercase letters indicate a 12-bp nonhomologous sequence). Sense primer 3 (5′-agtcatgtgtgagagagctacctaacatgacaGGGCCTTTCCAAGATTGCTG-3′; lowercase letters indicate a 30-bp nonhomologous sequences) and antisense primer 4 (5′-TAATACGACTCACTATAGGacgtggactctgATCTGCCCTTACTGGAAGC-3′; a 19 bp T7 promoter is underlined, and lowercase letters indicate a 12-nucleotide nonhomologous sequence) were used for amplification of human Hsp70 3′-untranslated region (a 427-bp PCR product yielding a 409-nucleotide RNA transcript, of which 260 nucleotides are homologous to the Hsp70 sequence surrounding the site of poly(A) addition). Antisense riboprobes were labeled with biotin-16-UTP using T7 RNA polymerase (MAXIscript kit, Ambion) and resuspended in water. Total RNA was isolated from heat-treated K562 and K562 HSF-1-PD cells using TRIZOL reagent (Invitrogen). RNase protection assays were performed using the Ambion protocol with minor modification. The 1 ng of labeled probe was co-precipitated with 5 μg of total RNA and then resuspended in 10 μl of hybridization buffer. Following a 16-h incubation at 56 °C, samples were digested at 37 °C for 30 min with 2.5 units/ml RNase A and 100 units/ml RNase T1 (Ambion), ethanol-precipitated, separated on an 8 m urea-6% polyacrylamide gel, and then transferred to nylon membrane, UV-cross-linked, and visualized with a SuperSignal kit (Pierce). The resulting bands were quantitated from a digital image using Kodak image processing software. Measurement of Cell Viability—K562 and K562 HSF1-PD cells were pretreated at 43 °C for 30 min, returned to 37 °C for 4 h to develop thermotolerance, exposed to a stringent 45 °C heat treatment for 20 min, and then placed at 37 °C for 40 h, after which they were subjected to a trypan blue exclusion assay to determine the number of viable cells. A parallel aliquot of cells kept at 37 °C for the duration of this experiment (45 h) was also counted by trypan blue exclusion assay as a control. The percent viability was calculated and expressed according to the following equation: viability (%) [(number of viable cells with heat stress)/(number of viable cells under nonstress conditions (kept at 37 °C)) × 100%]. To advance the understanding of the critical role of HSF1 in mediating stress-induced transcription of HSP genes, we undertook a yeast two-hybrid screen to identify HSF1-interacting proteins. One of the partners identified was symplekin, a protein previously found to associate with the CPSF and CstF factors involved in mRNA polyadenylation (Fig. 1A) (8Takagaki Y. Manley J.L. Mol. Cell. Biol. 2000; 20: 1515-1525Crossref PubMed Scopus (200) Google Scholar, 9Hofmann I. Schnolzer M. Kaufmann I. Franke W.W. Mol. Biol. Cell. 2002; 13: 1665-1676Crossref PubMed Scopus (70) Google Scholar). The clone identified in our screen represented a region at the N terminus of symplekin comprising amino acids 1–124 (Fig. 1B). As an independent test of the interaction between HSF1 and symplekin, and to determine whether the interaction is direct, we performed an in vitro pull-down assay. The results, shown in Fig. 1C, indicate that His6-HSF1 specifically bound purified recombinant symplekin. Quantitation of the data revealed that 62% of the input symplekin was bound, indicating the efficiency of interaction of these two proteins. To test for interaction between endogenous HSF1 and symplekin we performed immunoprecipitation experiments. The results indicate the existence of a specific interaction between the endogenous proteins and demonstrate that this complex is only found in cells that have been exposed to heat shock treatment (Fig. 2A). To test whether HSF1 also associates with other components of the polyadenylation machinery such as the CstF complex, we performed an immunoprecipitation analysis of HSF1 interaction with the CstF-64 protein. The results indicate that HSF1 is indeed found in a complex with CstF-64 and that, as with symplekin, this association is observed only after cells have been exposed to stress conditions (Fig. 2B). We quantitated these data and determined that in the symplekin immunoprecipitation 0.74% of the symplekin protein in the input was recovered, and in the CstF-64 immunoprecipitation 0.80% of the CstF-64 protein in the input was recovered. This is consistent with our expectations that only a fraction of the total cellular symplekin and CstF-64 would likely be associated with HSF1. We also noted that, because our results would represent only the complexes that survived the antibody binding incubations and washes of the immunoprecipitation protocol, these are likely to be conservative estimates of the amounts of HSF1-symplekin and HSF1-CstF-64 complexed in the cell. Previous studies demonstrated that stress causes some of the HSF1 protein, which is predominantly nuclear, to concentrate in punctate nuclear bodies (10Sarge K.D. Murphy S.P. Morimoto R.I. Mol. Cell. Biol. 1993; 13: 1392-1407Crossref PubMed Scopus (764) Google Scholar, 15Cotto J. Fox S. Morimoto R.I. J. Cell Sci. 1997; 110: 2925-2934Crossref PubMed Google Scholar, 16Holmberg C.I. Illman S.A. Kallio M. Mikhailov A. Sistonen L. Cell Stress Chaperones. 2000; 5: 219-228Crossref PubMed Scopus (52) Google Scholar). To test whether symplekin was also found in these bodies we performed a co-immunofluorescence analysis of these two proteins in nonstressed and heat-treated HeLa cells. The results of this experiment, shown in Fig. 3, reveal that a portion of the symplekin protein colocalizes with HSF1 in these foci in a stress-dependent manner, suggesting that these bodies may represent a site where HSF1 associates with symplekin, perhaps promoted by the concentration of these two partners in the bodies. The stress-induced nature of the interaction of HSF1 with symplekin and CstF-64 suggests that it could be important for assisting HSF1 function in up-regulating expression of HSP genes. Specifically, in light of the known functions of symplekin/CstF-64, we postulated that this interaction could serve as a mechanism for enhancing the efficiency of polyadenylation of Hsp70 mRNA transcripts by recruiting symplekin-CstF to HSP gene promoters and the associated polymerase II complex, similar to the described function of TFIID in recruiting CPSF to polymerase II on promoters (17Dantonel J.C. Murthy K.G. Manley J.L. Tora L. Nature. 1997; 389: 399-402Crossref PubMed Scopus (256) Google Scholar). To test this hypothesis we examined the polyadenylation efficiency of Hsp70 mRNA transcripts in heat-treated cells, either in K562 cells or K562 cells that stably express a mutant HSF1 protein that is unable to bind DNA because of a point mutation in its DNA-binding domain (K562 HSF1-PD cell line) (11Chen C. Xie Y. Stevenson M.A. Auron P.E. Calderwood S.K. J. Biol. Chem. 1997; 272: 26803-26806Abstract Full Text Full Text PDF PubMed Scopus (70) Google Scholar). The reasoning was that the mutant HSF1 protein would bind to symplekin, thereby reducing the amount of symplekin available for association with the endogenous wild-type HSF1 and decreasing the efficiency of Hsp70 mRNA polyadenylation. Parental K562 cells and the K562 HSF1-PD cells were subjected to heat shock treatment at 42 °C for 30 or 60 min, after which total RNA isolated from these cells was analyzed by RNase protection assay using two different probes, one hybridizing to the 3′ cleavage site and the other to an internal region of the transcript for normalization purposes (positions shown in Fig. 4A). The results demonstrate that the cells harboring the mutant HSF1 protein exhibit a significantly lower efficiency of 3′ end formation than the parental K562 cells (Fig. 4B). The total levels of Hsp70 mRNA transcripts (detected by internal probe) are not appreciably affected by the presence of the HSF1 mutant protein, suggesting that it does not affect Hsp70 gene transcription to any significant extent. Because this mutant protein is unable to bind the Hsp70i promoter, it presumably is unable to interfere with the assembly of transcription complexes on this promoter. Quantitation of the RNase protection results reveal approximate 60 and 70% decreases in Hsp70 mRNA 3′ end processing in the K562 HSF1-PD cells for the 30- and 60-min heat shock treatment samples, respectively (Fig. 4C). This loss of Hsp70 mRNA polyadenylation is correlated with a significant decrease in induction of Hsp70 protein in response to heat stress (Fig. 5, A–C). Similar results were obtained for both K562 (Fig. 5, A and C) and CHO versions (Fig. 5B) of HSF1-PD cell lines, using both a direct Hsp70 Western blot approach (Fig. 5, A and B) and 35S in vivo pulse labeling/immunoprecipitation measurements of Hsp70 levels (Fig. 5C). Importantly, the reduced Hsp70 protein induction observed in HSF1-PD cells is associated with a significant increase in the levels of cell death following stress exposure (Fig. 5D), indicating the critical importance of HSF1-enhanced polyadenylation for the ability of cells to survive stress treatment. A fascinating development in the study of gene expression has been the finding that transcription and mRNA processing events such as capping, splicing, and polyadenylation are not independent events and can be coupled (18Minvielle-Sebastia L. Keller W. Curr. Opin. Cell Biol. 1999; 11: 352-357Crossref PubMed Scopus (149) Google Scholar, 19Hirose Y. Manley J.L. Genes Dev. 2000; 14: 1415-1429Crossref PubMed Google Scholar, 20Orphanides G. Reinberg D. Cell. 2002; 108: 439-451Abstract Full Text Full Text PDF PubMed Scopus (719) Google Scholar, 21Proudfoot N.J. Furger A. Dye M.J. Cell. 2002; 108: 501-512Abstract Full Text Full Text PDF PubMed Scopus (848) Google Scholar, 22Maniatis T. Reed R. Nature. 2002; 416: 499-506Crossref PubMed Scopus (938) Google Scholar). For example, interaction between the C-terminal domain of RNA polymerase II and CPSF/CstF polyadenylation factors allows coupling to occur between transcription and polyadenylation events (23McCracken S. Fong N. Yankulov K. Ballantyne S. Pan G. Greenblatt J. Patterson S.D. Wickens M. Bentley D.L. Nature. 1997; 385: 357-361Crossref PubMed Scopus (747) Google Scholar, 24Hirose Y. Manley J.L. Nature. 1998; 395: 93-96Crossref PubMed Scopus (301) Google Scholar, 25Fong N. Bentley D.L. Genes Dev. 2001; 15: 1783-1795Crossref PubMed Scopus (186) Google Scholar, 26Ryan K. Murthy K.G. Kaneko S. Manley J.L. Mol. Cell. Biol. 2002; 22: 1684-1692Crossref PubMed Scopus (53) Google Scholar, 27Licatalosi D.D. Geiger G. Minet M. Schroeder S. Cilli K. McNeil J.B. Bentley D.L. Mol. Cell. 2002; 9: 1101-1111Abstract Full Text Full Text PDF PubMed Scopus (246) Google Scholar). TFIID interaction with CPSF represents a mechanism for loading CPSF onto the C-terminal domain, but whether a similar mechanism existed for recruitment of the CstF complex to promoters is not known (17Dantonel J.C. Murthy K.G. Manley J.L. Tora L. Nature. 1997; 389: 399-402Crossref PubMed Scopus (256) Google Scholar). In addition, and more relevant to our present study, because these mechanisms involve components involved in transcription of all class II genes, RNA polymerase II and TFIID, it was also not known whether related mechanisms exist that could couple transcription to 3′ processing in a gene- or gene family-specific manner. Such a mechanism would make particular biological sense in the case of genes whose expression needs to be rapidly induced in response to some signal. Our results indicate that this mechanism does exist, at least in the case of stress-induced transcription of HSP genes, and that it is mediated by interaction between HSF1 and the symplekin protein. It will be fascinating to explore whether symplekin interacts with other transcription factors responsible for regulating genes in which products are required to be rapidly inducible. Indeed, symplekin makes an ideal partner for such interactions because it associates with both CstF and CPSF complexes (8Takagaki Y. Manley J.L. Mol. Cell. Biol. 2000; 20: 1515-1525Crossref PubMed Scopus (200) Google Scholar, 9Hofmann I. Schnolzer M. Kaufmann I. Franke W.W. Mol. Biol. Cell. 2002; 13: 1665-1676Crossref PubMed Scopus (70) Google Scholar), and thus interacting with symplekin could allow a transcription factor to efficiently recruit both of these components critical for 3′ processing to promoters it binds. Finally, these data reveal that HSF1 positively regulates stress-induced HSP gene expression at not one but two distinct steps in the gene expression pathway. Thus, in addition to its well characterized function in stimulating the transcription of HSP genes, our results now show that HSF1 also acts to enhance polyadenylation of the resulting HSP mRNA transcripts via its interaction with the symplekin-3′ processing complex. The existence of this mechanism demonstrates even further the critical role played by HSF1 in the cellular stress response and underscores the vital importance of stress-induced HSP gene expression for cell function and survival. We are very grateful to Stuart Calderwood for generously providing K562 and CHO versions of the HSF1-PD cell lines, Yoshio Takagaki for the generous gift of anti-CstF-64 antibodies, and to Yiling Hong, Eric Lubert, Roland Hilgarth, Chad Wilkerson, Hollie Skaggs, and Lynea Murphy for helpful discussions.