Browsing by Author "Zhu, Y"

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    A phase field model for mass transport with semi-permeable interfaces
    (Journal of Computational Physics, 2022-09-01) Qin, Y; Huang, H; Zhu, Y; Liu, C; Xu, S
    In this paper, a thermaldynamical consistent model for mass transfer across permeable moving interfaces is proposed by using the energy variation method. We consider a restricted diffusion problem where the flux across the interface depends on its conductance and the difference of the concentration on each side. The diffusive interface phase-field framework used here has several advantages over the sharp interface method. First of all, explicit tracking of the interface is no longer necessary. Secondly, interfacial conditions can be incorporated with a variable diffusion coefficient. Finally, topological changes of interfaces can be handed easily. A detailed asymptotic analysis confirms the diffusive interface model converges to the existing sharp interface model as the interface thickness goes to zero. An energy stable numerical scheme is developed to solve this highly nonlinear coupled system.Numerical simulations first illustrate the consistency of theoretical results on the sharp interface limit. Then a convergence study and energy decay test are conducted to ensure the efficiency and stability of the numerical scheme. To illustrate the effectiveness of our phase-field approach, several examples are provided, including a study of a two-phase mass transfer problem where droplets with deformable interfaces are suspended in a moving fluid.
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    Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs.
    (Nature, 2002-12-05) Okazaki, Y; Furuno, M; Kasukawa, T; Adachi, J; Bono, H; Kondo, S; Nikaido, I; Osato, N; Osato, N; Saito, R; Suzuki, H; Yamanaka, I; Kiyosawa, H; Yagi, K; Tomaru, Y; Hasegawa, Y; Nogami, A; Schönbach, C; Gojobori, T; Baldarelli, R; Hill, DP; Bult, C; Hume, DA; Hume, DA; Quackenbush, J; Schriml, LM; Kanapin, A; Matsuda, H; Batalov, S; Beisel, KW; Blake, JA; Bradt, D; Brusic, V; Chothia, C; Corbani, LE; Cousins, S; Dalla, E; Dragani, TA; Fletcher, CF; Forrest, A; Frazer, KS; Gaasterland, T; Gariboldi, M; Gissi, C; Godzik, A; Gough, J; Grimmond, S; Gustincich, S; Hirokawa, N; Jackson, IJ; Jarvis, ED; Kanai, A; Kawaji, H; Kawasawa, Y; Kedzierski, RM; King, BL; Konagaya, A; Kurochkin, IV; Lee, Y; Lenhard, B; Lyons, PA; Maglott, DR; Maltais, L; Marchionni, L; McKenzie, L; Miki, H; Nagashima, T; Numata, K; Okido, T; Pavan, WJ; Pertea, G; Pesole, G; Petrovsky, N; Pillai, R; Pontius, JU; Qi, D; Ramachandran, S; Ravasi, T; Reed, JC; Reed, DJ; Reid, J; Ring, BZ; Ringwald, M; Sandelin, A; Schneider, C; Semple, CAM; Setou, M; Shimada, K; Sultana, R; Takenaka, Y; Taylor, MS; Teasdale, RD; Tomita, M; Verardo, R; Wagner, L; Wahlestedt, C; Wang, Y; Watanabe, Y; Wells, C; Wilming, LG; Wynshaw-Boris, A; Yanagisawa, M; Yang, I; Yang, L; Yuan, Z; Zavolan, M; Zhu, Y; Zimmer, A; Carninci, P; Hayatsu, N; Hirozane-Kishikawa, T; Konno, H; Nakamura, M; Sakazume, N; Sato, K; Shiraki, T; Waki, K; Kawai, J; Aizawa, K; Arakawa, T; Fukuda, S; Hara, A; Hashizume, W; Imotani, K; Ishii, Y; Itoh, M; Kagawa, I; Miyazaki, A; Sakai, K; Sasaki, D; Shibata, K; Shinagawa, A; Yasunishi, A; Yoshino, M; Waterston, R; Lander, ES; Rogers, J; Birney, E; Hayashizaki, Y; FANTOM Consortium; RIKEN Genome Exploration Research Group Phase I & II Team
    Only a small proportion of the mouse genome is transcribed into mature messenger RNA transcripts. There is an international collaborative effort to identify all full-length mRNA transcripts from the mouse, and to ensure that each is represented in a physical collection of clones. Here we report the manual annotation of 60,770 full-length mouse complementary DNA sequences. These are clustered into 33,409 'transcriptional units', contributing 90.1% of a newly established mouse transcriptome database. Of these transcriptional units, 4,258 are new protein-coding and 11,665 are new non-coding messages, indicating that non-coding RNA is a major component of the transcriptome. 41% of all transcriptional units showed evidence of alternative splicing. In protein-coding transcripts, 79% of splice variations altered the protein product. Whole-transcriptome analyses resulted in the identification of 2,431 sense-antisense pairs. The present work, completely supported by physical clones, provides the most comprehensive survey of a mammalian transcriptome so far, and is a valuable resource for functional genomics.
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    Competition between the modulation instability and stimulated Brillouin scattering in a broadband slow light device
    (Journal of Optics, 2010-10-01) Zhu, Y; Cabrera-Granado, E; Calderon, OG; Melle, S; Okawachi, Y; Gaeta, AL; Gauthier, DJ
    We observe competition between the modulation instability (MI) and stimulated Brillouin scattering (SBS) in a 9.2 GHz broadband SBS slow light device, in which a standard 20 km long single-mode LEAF fibre is used as the SBS medium. We find that MI is dominant and depletes most of the pump power when we use an intense pump beam at ∼1.55 μm, where the LEAF fibre is anomalously dispersive. The dominance of the MI in the LEAF-fibre-based system suppresses the SBS gain, degrading the SBS slow light delay and limiting the SBS gain-bandwidth to 125 dB GHz. In a dispersion-shifted highly nonlinear fibre, the SBS slow light delay is improved due to the suppression of the MI, resulting in a gain-bandwidth product of 344 dB GHz, limited by our available pump power of 0.82 W. © 2010 IOP Publishing Ltd.
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    Genetic variants in the TEP1 gene are associated with prostate cancer risk and recurrence.
    (Prostate Cancer Prostatic Dis, 2015-12) Gu, C; Li, Q; Zhu, Y; Qu, Y; Zhang, G; Wang, M; Yang, Y; Wang, J; Jin, L; Wei, Q; Ye, D
    BACKGROUND: Telomere-related genes play an important role in carcinogenesis and progression of prostate cancer (PCa). It is not fully understood whether genetic variations in telomere-related genes are associated with development and progression in PCa patients. METHODS: Six potentially functional single-nucleotide polymorphisms (SNPs) of three key telomere-related genes were evaluated in 1015 PCa cases and 1052 cancer-free controls, to test their associations with risk of PCa. Among 426 PCa patients who underwent radical prostatectomy (RP), the prognostic significance of the studied SNPs on biochemical recurrence (BCR) was also assessed using the Kaplan-Meier analysis and Cox proportional hazards regression model. The relative telomere lengths (RTLs) were measured in peripheral blood leukocytes using real-time PCR in the RP patients. RESULTS: TEP1 rs1760904 AG/AA genotypes were significantly associated with a decreased risk of PCa (odds ratio (OR): 0.77, 95% confidence interval (CI): 0.64-0.93, P=0.005) compared with the GG genotype. By using median RTL as a cutoff level, RP patients with TEP1 rs1760904 AG/AA genotypes tended to have a longer RTL than those with the GG genotype (OR: 1.55, 95% CI: 1.04-2.30, P=0.031). A significant interaction between TEP1 rs1713418 and age in modifying PCa risk was observed (P=0.005). After adjustment for clinicopathologic risk factors, the presence of heterozygotes or rare homozygotes of TEP1 rs1760904 and TNKS2 rs1539042 were associated with BCR in the RP cohorts (hazard ratio: 0.53, 95% CI: 0.36-0.79, P=0.002 and hazard ratio: 1.67, 95% CI: 1.07-2.48, P=0.017, respectively). CONCLUSIONS: These data suggest that genetic variations in the TEP1 gene may be biomarkers for risk of PCa and BCR after RP.
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    Information-theoretic analysis of a stimulated-Brillouin-scattering-based slow-light system.
    (Appl Opt, 2011-11-10) Lee, M; Zhu, Y; Gauthier, DJ; Gehm, ME; Neifeld, MA
    We use an information-theoretic method developed by Neifeld and Lee [J. Opt. Soc. Am. A 25, C31 (2008)] to analyze the performance of a slow-light system. Slow-light is realized in this system via stimulated Brillouin scattering in a 2 km-long, room-temperature, highly nonlinear fiber pumped by a laser whose spectrum is tailored and broadened to 5 GHz. We compute the information throughput (IT), which quantifies the fraction of information transferred from the source to the receiver and the information delay (ID), which quantifies the delay of a data stream at which the information transfer is largest, for a range of experimental parameters. We also measure the eye-opening (EO) and signal-to-noise ratio (SNR) of the transmitted data stream and find that they scale in a similar fashion to the information-theoretic method. Our experimental findings are compared to a model of the slow-light system that accounts for all pertinent noise sources in the system as well as data-pulse distortion due to the filtering effect of the SBS process. The agreement between our observations and the predictions of our model is very good. Furthermore, we compare measurements of the IT for an optimal flattop gain profile and for a Gaussian-shaped gain profile. For a given pump-beam power, we find that the optimal profile gives a 36% larger ID and somewhat higher IT compared to the Gaussian profile. Specifically, the optimal (Gaussian) profile produces a fractional slow-light ID of 0.94 (0.69) and an IT of 0.86 (0.86) at a pump-beam power of 450 mW and a data rate of 2.5 Gbps. Thus, the optimal profile better utilizes the available pump-beam power, which is often a valuable resource in a system design.
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    Optic nerve microcirculation: Fluid flow and electrodiffusion
    (Physics of Fluids, 2021-04-01) Zhu, Y; Xu, S; Eisenberg, RS; Huang, H
    Complex fluids flow in complex ways in complex structures. Transport of water and various organic and inorganic molecules in the central nervous system (CNS) are important in a wide range of biological and medical processes [C. Nicholson and S. Hrabětová, "Brain extracellular space: The final frontier of neuroscience,"Biophys. J. 113(10), 2133 (2017)]. However, the exact driving mechanisms are often not known. In this paper, we investigate flows induced by action potentials in an optic nerve as a prototype of the CNS. Different from traditional fluid dynamics problems, flows in biological tissues such as the CNS are coupled with ion transport. It is driven by osmosis created by the concentration gradient of ionic solutions, which in turn influence the transport of ions. Our mathematical model is based on the known structural and biophysical properties of the experimental system used by the Harvard group [R. K. Orkand, J. G. Nicholls, and S. W. Kuffler, "Effect of nerve impulses on the membrane potential of glial cells in the central nervous system of amphibia,"J. Neurophysiol. 29(4), 788 (1966)]. Asymptotic analysis and numerical computation show the significant role of water in convective ion transport. The full model (including water) and the electrodiffusion model (excluding water) are compared in detail to reveal an interesting interplay between water and ion transport. In the full model, convection due to water flow dominates inside the glial domain. This water flow in the glia contributes significantly to the spatial buffering of potassium in the extracellular space. Convection in the extracellular domain does not contribute significantly to spatial buffering. Electrodiffusion is the dominant mechanism for flows confined to the extracellular domain.