Fast magnetic resonance temperature imaging for focused ultrasound thermal therapy

The current standard for temperature sensitive imaging using magnetic resonance (MR) is 2-D, spoiled, fast gradient-echo (fGRE) phase-difference imaging exploiting temperature dependent changes in the proton resonance frequency (PRF). The echo-time (TE) for optimal sensitivity is larger than the typical repetition time (TR) of an fGRE sequence. Since TE must be less than TR in the fGRE sequence, this limits the technique's achievable sensitivity, spatial, and temporal resolution. This adversely affects both accuracy and volume coverage of the measurements. Accurate measurement of the rapid temperature changes associated with pulsed thermal therapies, such as high-intensity focused ultrasound (FUS), at optimal temperature sensitivity requires faster acquisition times than those currently available. ^ Use of fast MR acquisition strategies, such as interleaved echo-planar and spiral imaging, can provide the necessary increase in temporal performance and sensitivity while maintaining adequate signal-to-noise and in-plane spatial resolution. This research explored the adaptation and optimization of several fast MR acquisition methods for thermal monitoring of pulsed FUS thermal therapy. Temperature sensitivity, phase-difference noise and phase-difference to phase-difference-to noise ratio for the different pulse sequences were evaluated under varying imaging parameters in an agar gel phantom to establish optimal sequence parameters for temperature monitoring. The temperature sensitivity coefficient of the gel phantom was measured, allowing quantitative temperature extrapolations. ^ Optimized fast sequences were compared based on the ability to accurately monitor temperature changes at the focus of a high-intensity focused ultrasound unit, volume coverage, and contrast-to-noise ratio in the temperature maps. Operating parameters, which minimize complex phase-difference measurement errors introduced by use of the fast-imaging methods, were established. ^

The Set1 methyltransferase opposes Ipl1 aurora kinase functions in chromosome segregation

A phosphorylation balance governed by Ipl1 Aurora kinase and the Glc7 phosphatase is essential for normal chromosome segregation in S. cerevisiae . Deletion of SET1, a histone K4 methyltransferase, suppresses the temperature sensitive phenotype of ipl1-2, and loss the catalytic activity of Set1 is important for this suppression. SET1 deletion also suppresses chromosome loss in ipl1-2 cells. Deletion of other Set1 complex components suppresses the temperature sensitivity of ipl1-2 as well. In contrast, SET1 deletion is synthetic lethal combined with glc7-127. Strikingly, these effects are independent of previously defined functions for Set1 in transcription initiation and histone H3 methylation. I find that Set1 methylates conserved lysines in a kinetochore protein, Dam1, a key mitotic substrate of Ipl1/Glc7. Biochemical and genetic experiments indicate that Dam1 methylation inhibits Ipl1-mediated phosphorylation of flanking serines. My studies demonstrate that Set1 has important, unexpected functions in mitosis through modulating the phosphorylation balance regulated by Ipl1/Glc7. Moreover, my findings suggest that antagonism between lysine methylation and serine phosphorylation is a fundamental mechanism for controlling protein function. ^

Biochemical and genetic characterization of the Saccharomyces cerevisiae Hsp110 molecular chaperone Sse1

The Ssel/Hsp110 molecular chaperones are a poorly understood subgroup of the Hsp70 chaperone family. Hsp70 can refold denatured polypeptides via a carboxyl-terminal peptide binding domain (PBD), which is regulated by nucleotide cycling in an amino-terminal ATPase domain. However, unlike Hsp70, both Sse1 and mammalian Hsp110 bind unfolded peptide substrates but cannot refold them. To test the in vivo requirement for interdomain communication, SSE1 alleles carrying amino acid substitutions in the ATPase domain were assayed for their ability to complement sse1Δ phenotypes. Surprisingly, all mutants predicted to abolish ATP hydrolysis complemented the temperature sensitivity of sse1Δ, whereas mutations in predicted ATP binding residues were non-functional. Remarkably, the two domains of Ssel when expressed in trans functionally complement the sse1Δ growth phenotype and interact by coimmunoprecipitation analysis, indicative of a novel type of interdomain communication. ^ Relatively little is known regarding the interactions and cellular functions of Ssel. Through co-immunoprecipitation analysis, we found that Ssel forms heterodimeric complexes with the abundant cytosolic Hsp70s Ssa and Ssb in vivo. Furthermore, these complexes can be efficiently reconstituted in vitro using purified proteins. The ATPase domains of Ssel and the Hsp70s were found to be critical for interaction as inactivating point mutations severely reduced interaction efficiency. Ssel stimulated Ssal ATPase activity synergistically with the co-chaperone Ydj1 via a novel nucleotide exchange activity. Furthermore, FES1, another Ssa nucleotide exchange factor, can functionally substitute for SSE1/2 when overexpressed, suggesting that Hsp70 nucleotide exchange is the fundamental role of the Sse proteins in yeast, and by extension, the Hsp110 homologs in mammals. ^ Cells lacking SSE1 were found to accumulate prepro-α-factor, but not the cotranslationally imported protein Kar2, similar to mutants in the Ssa chaperones. This indicates that the interaction between Ssel and Ssa is functionally significant in vivo. In addition, sse10 cells are compromised for cell wall strength, likely a result of decreased Hsp90 chaperone activity with the cell integrity MAP kinase SIC. Taken together, this work established that the Hsp110 family must be considered an essential component of Hsp70 chaperone biology in the eukaryotic cell.^

Molecular analysis of a neurovirulent murine leukemia virus, {\it ts\/}1

ts1 is a neurovirulent spontaneous temperature-sensitive mutant of Moloney murine leukemia virus TB (MoMuLV-TB). MoMuLV-TB causes T-cell lymphoma or lymphoid leukemia in mice after a long latency period whereas ts1 causes a progressive hindlimb paralytic disease after a much shorter latency period. In previous studies, it had been shown that the temperature-sensitive defect resided in the $env$ gene. At the restrictive temperature, the envelope precursor polyprotein, gPr80$\sp{env}$, is inefficiently processed intracellularly into a heterodimer consisting of two cleavage products, gp70 and Prp15E. This inefficient processing is correlated with neurovirulence. In this study, the nucleotide sequences of the env genes for both ts1 and MoMuLV-TB were determined, and the encoded amino acid sequences were deduced from the DNA sequences. There were four unique amino acid substitutions in the gPr80$\sp{env}$ of ts1. In order to determine which unique amino acid was responsible for the phenotypic characteristics of ts1, a set of hybrid genomes was constructed by exchanging restriction fragments between ts1 and MoMuLV-TB. NIH 3T3 cells were transfected with the hybrid genomes to obtain infectious hybrid viruses. Assays of the hybrid viruses showed that a Val-25$\to$Ile substitution in gPr80$\sp{env}$ was responsible for the temperature sensitivity, inefficient processing, and neurovirulence of ts1. In further studies, the Ile-25 in gPr80$\sp{env}$ was substituted with Thr, Ala, Leu, Gly, and Glu by site-directed mutagenesis to generate a new set of mutant viruses, i.e., ts1-T, -A, -L, -G, and -E, respectively. The rank order of the mutants for temperature sensitivity was: ts1-E $>$ ts1-G $>$ ts1-L $>$ ts1-A $>$ ts1 $>$ ts1-T. The degree of temperature sensitivity of each of the mutants also correlated with the degree of inefficient processing of gPr80$\sp{env}$. The mutant viruses were assayed for neurovirulence. ts1-T caused whole body tremor, ts1-A caused hindlimb paralysis, ts1-L caused paraparesis, but ts1-G and -E were not neurovirulent. These results show that inefficient processing of gPr80$\sp{env}$ is correlated with neurovirulence, but if processing of gPr80$\sp{env}$ is too inefficient there is no neurovirulence. Furthermore, the disease profile of each of the neurovirulent viruses depends on the degree of inefficient processing of gPr80$\sp{env}$. ^