Publications

Grandjean, J., Canella, C., Anckaerts, C., Ayrancı, G., Bougacha, S., Bienert, T., … Gozzi, A. (2020). Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis. NeuroImage, 205, 116278.

Sun, L., Verma, S., Michael, N., Chan, S. P., Yan, J., Sadananthan, S. A., … Leow, M. K. S. (2019). Brown Adipose Tissue: Multimodality Evaluation by PET, MRI, Infrared Thermography, and Whole-Body Calorimetry (TACTICAL-II). Obesity, 27(9), 1434–1442. https://doi.org/10.1002/oby.22560

Beffara, F., Perumal, J., Puteri Mahyuddin, A., Choolani, M., Khan, S. A., Auguste, J., Vedraine, S., Humbert, G., Dinish, U. S., & Olivo, M. (2019). Development of highly reliable SERS‐active photonic crystal fiber probe and its application in the detection of ovarian cancer biomarker in cyst fluid. Journal of Biophotonics. https://doi.org/10.1002/jbio.201960120

Hartimath, S. V., Boominathan, R., Soh, V., Cheng, P., Deng, X., Chong, Y. C., Yong, F. F., Tan, P. W., Han, W., Robins, E. G., & Goggi, J. L. (2019). Imaging Fibrogenesis in a Diet-Induced Model of Nonalcoholic Steatohepatitis (NASH). Contrast Media & Molecular Imaging, 2019, 1–8. https://doi.org/10.1155/2019/6298128

Hu, H. H., Branca, R. T., Hernando, D., Karampinos, D. C., Machann, J., McKenzie, C. A., Wu, H. H., Yokoo, T., & Velan, S. S. (2019). Magnetic resonance imaging of obesity and metabolic disorders: Summary from the 2019 ISMRM Workshop. Magnetic Resonance in Medicine, mrm.28103. https://doi.org/10.1002/mrm.28103

Yaligar, J., Verma, S. K., Gopalan, V., Anantharaj, R., Thu Le, G. T., Kaur, K., Mallilankaraman, K., Shing Leow, M. K., & Velan, S. S. (2019). Dynamic contrast‐enhanced MRI of brown and beige adipose tissues. Magnetic Resonance in Medicine, mrm.28118. https://doi.org/10.1002/mrm.28118

Sun, A. X., Yuan, Q., Fukuda, M., Yu, W., Yan, H., Lim, G. G. Y., … Je, H. S. (2019). Potassium channel dysfunction in human neuronal models of Angelman syndrome. Science (New York, N.Y.), 366(6472), 1486–1492. https://doi.org/10.1126/science.aav5386

Kroll, J., Özçete, Ö. D., Jung, S., Maritzen, T., Milosevic, I., Wichmann, C., & Moser, T. (2019). AP180 promotes release site clearance and clathrin-dependent vesicle reformation in mouse cochlear inner hair cells. Journal of Cell Science, jcs.236737. https://doi.org/10.1242/jcs.236737

Mcilroy, G. D., Mitchell, S. E., Han, W., Delibegović, M., & Rochford, J. J. (2019). Ablation of Bscl2 /Seipin in hepatocytes does not cause metabolic dysfunction in congenital generalised lipodystrophy. Disease Models & Mechanisms, dmm.042655. https://doi.org/10.1242/dmm.042655

Sun, L., Verma, S., Michael, N., Chan, S. P., Yan, J., Sadananthan, S. A., … Leow, M. K. (2019). Brown Adipose Tissue: Multimodality Evaluation by PET, MRI, Infrared Thermography, and Whole‐Body Calorimetry (TACTICAL‐II). Obesity, oby.22560. https://doi.org/10.1002/oby.22560

Ding, Z., Ericksen, R. E., Escande-Beillard, N., Lee, Q. Y., Loh, A., Denil, S., Steckel, M., Haegebarth, A., Wai Ho, T. S., Chow, P., Toh, H. C., Reversade, B., Gruenewald, S., & Han, W. (2019). Metabolic pathway analyses identify proline biosynthesis pathway as a promoter of liver tumorigenesis. Journal of Hepatology. https://doi.org/10.1016/j.jhep.2019.10.026

Moothanchery, M., Bi, R., Kim, J. Y., Balasundaram, G., Kim, C., & Olivo, M. (2019). High-speed simultaneous multiscale photoacoustic microscopy. Journal of Biomedical Optics, 24(08), 1. https://doi.org/10.1117/1.JBO.24.8.086001

Wong, C. L., Chan, J. Y., Choo, L. X., Lim, H. Q., Mittman, H., & Olivo, M. (2019). Plasmonic Contrast Imaging Biosensor for the Detection of H3N2 Influenza Protein-Antibody and DNA-DNA Molecular Binding. IEEE Sensors Journal, 19(24), 11828–11833. https://doi.org/10.1109/JSEN.2019.2936623

Moothanchery, M., Dev, K., Balasundaram, G., Bi, R., & Olivo, M. (2019). Acoustic resolution photoacoustic microscopy based on microelectromechanical systems scanner. Journal of Biophotonics. https://doi.org/10.1002/jbio.201960127

Ebrahim Attia, A. B., Balasundaram, G., Moothanchery, M., Dinish, U. S., Bi, R., Ntziachristos, V., & Olivo, M. (2019). A Review of Clinical Photoacoustic Imaging: Current and Future Trends. Photoacoustics, 100144. https://doi.org/10.1016/j.pacs.2019.100144

Dinish, U. S., Beffara, F., Humbert, G., Auguste, J. J.-L., & Olivo, M. (2019). SERS‐Active Photonic Crystal Fiber Probe: Towards Next Generation Liquid Biopsy Sensor with Ultra High Sensitivity. J. Biophotonics, 0(ja), e201900027. https://doi.org/10.1002/jbio.201900027

Perumal, J., Mahyuddin, A. P., Balasundaram, G., Goh, D., Fu, C. Y., Kazakeviciute, A., Dinish, U. S., Choolani, M., & Olivo, M. (2019). SERS-based detection of haptoglobin in ovarian cyst fluid as a point-of-care diagnostic assay for epithelial ovarian cancer. Cancer Management and Research, Volume 11, 1115–1124. https://doi.org/10.2147/CMAR.S185375

Li, X., Dinish, U. S., Aguirre, J., Bi, R., Dev, K., Attia, A. B. E., Nitkunanantharajah, S., Lim, Q. H., Schwarz, M., Yew, Y. W., Thng, S. T. G., Ntziachristos, V., & Olivo, M. (2019). Optoacoustic mesoscopy analysis and quantitative estimation of specific imaging metrics in Fitzpatrick skin phototypes II to V. Journal of Biophotonics, 12(9), e201800442. https://doi.org/10.1002/jbio.201800442

Yew, Y. W., Dinish, U. S., Choi, E. C. E., Bi, R., Ho, C. J. H., Dev, K., Li, X., Attia, A. B. E., Wong, M. K. W., Balasundaram, G., Ntziachristos, V., Olivo, M., & Thng, S. T. G. (2019). Investigation of morphological, vascular and biochemical changes in the skin of an atopic dermatitis (AD) patient in response to dupilumab using raster scanning optoacoustic mesoscopy (RSOM) and handheld confocal Raman spectroscopy (CRS). Journal of Dermatological Science, 95(3), 123–125. https://doi.org/10.1016/j.jdermsci.2019.07.003

Nitkunanantharajah, S., Zahnd, G., Olivo, M., Navab, N., Mohajerani, P., & Ntziachristos, V. (2019). Skin surface detection in 3D optoacoustic mesoscopy based on dynamic programming. IEEE Transactions on Medical Imaging, 1–1. https://doi.org/10.1109/TMI.2019.2928393

Wu, T., Li, K., Zhang, N., Xia, J., Zeng, Q., Wen, X., Dinish, U. S., Olivo, M., Shen, Z., Liu, Z., Xiong, Q., Luo, Y., Maier, S. A., & Wei, L. (2019). Ultrawideband Surface Enhanced Raman Scattering in Hybrid Graphene Fragmented‐Gold Substrates via Cold‐Etching. Advanced Optical Materials, 7(21), 1900905. https://doi.org/10.1002/adom.201900905

Park, S.-J., Ho, C. J. H., Arai, S., Samanta, A., Olivo, M., & Chang, Y.-T. (2019). Visualizing Alzheimer’s Disease Mouse Brain with Multispectral Optoacoustic Tomography using a Fluorescent probe, CDnir7. Scientific Reports, 9(1), 12052. https://doi.org/10.1038/s41598-019-48329-4

Park, J.-S., Zhang, S., She, A., Chen, W. T., Lin, P., Yousef, K. M. A., Cheng, J.-X., & Capasso, F. (2019). All-Glass, Large Metalens at Visible Wavelength Using Deep-Ultraviolet Projection Lithography. Nano Letters, acs.nanolett.9b03333. https://doi.org/10.1021/acs.nanolett.9b03333

Mandino, F., Yeow, L. Y., Gigg, J., Olivo, M., & Grandjean, J. (2019). Preserved functional networks in a hydrocephalic mouse. Matters. https://doi.org/10.19185/matters.201905000001

Chio, W.-I. K., Peveler, W. J., Assaf, K. I., Moorthy, S., Nau, W. M., Parkin, I. P., Olivo, M., & Lee, T.-C. (2019). Selective Detection of Nitroexplosives Using Molecular Recognition within Self-Assembled Plasmonic Nanojunctions. The Journal of Physical Chemistry C, 123(25), 15769–15776. https://doi.org/10.1021/acs.jpcc.9b02363

Singh, J. P., Qian, K., Lee, J.-S., Zhou, J., Han, X., Zhang, B., … Yang, X. (2019). O-GlcNAcase targets pyruvate kinase M2 to regulate tumor growth. Oncogene. https://doi.org/10.1038/s41388-019-0975-3

Ferrari Bardile, C., Garcia-Miralles, M., Caron, N. S., Rayan, N. A., Langley, S. R., Harmston, N., Rondelli, A. M., Teo, R. T. Y., Waltl, S., Anderson, L. M., Bae, H.-G., Jung, S., Williams, A., Prabhakar, S., Petretto, E., Hayden, M. R., & Pouladi, M. A. (2019). Intrinsic mutant HTT-mediated defects in oligodendroglia cause myelination deficits and behavioral abnormalities in Huntington disease. Proceedings of the National Academy of Sciences, 116(19), 9622–9627. https://doi.org/10.1073/pnas.1818042116

Seuwen, A., Schroeter, A., Grandjean, J., Schlegel, F., & Rudin, M. (2019). Functional spectroscopic imaging reveals specificity of glutamate response in mouse brain to peripheral sensory stimulation. Scientific Reports, 9(1), 10563. https://doi.org/10.1038/s41598-019-46477-1

Sriram, S., Yuan, C., Chakraborty, S., Tay, W., Park, M., Shabbir, A., Toh, S.-A., Han, W., & Sugii, S. (2019). Oxidative stress mediates depot-specific functional differences of human adipose-derived stem cells. Stem Cell Research & Therapy, 10(1), 141. https://doi.org/10.1186/s13287-019-1240-y

Kim, B., Fukuda, M., Lee, J.-Y., Su, D., Sanu, S., Silvin, A., Khoo, A. T. T., Kwon, T., Liu, X., Chi, W., Liu, X., Choi, S., Wan, D. S. Y., Park, S.-J., Kim, J.-S., Ginhoux, F., Je, H. S., & Chang, Y.-T. (2019). Visualizing Microglia with a Fluorescence Turn-On Ugt1a7c Substrate. Angewandte Chemie International Edition, 58(24), 7972–7976. https://doi.org/10.1002/anie.201903058

Kang, N.-Y., Soetedjo, A. A. P., Amirruddin, N. S., Chang, Y.-T., Eriksson, O., & Teo, A. K. K. (2019). Tools for Bioimaging Pancreatic β Cells in Diabetes. Trends in Molecular Medicine, 25(8), 708–722. https://doi.org/10.1016/j.molmed.2019.05.004

Kwon, H.-Y., Kim, J.-Y., Liu, X., Lee, J. Y., Yam, J. K. H., Dahl Hultqvist, L., Xu, W., Rybtke, M., Tolker-Nielsen, T., Heo, W., Kim, J.-J., Kang, N.-Y., Joo, T., Yang, L., Park, S.-J., Givskov, M., & Chang, Y.-T. (2019). Visualizing biofilm by targeting eDNA with long wavelength probe CDr15. Biomaterials Science, 7(9), 3594–3598. https://doi.org/10.1039/C9BM00152B

Ang, J., Lee, Y., Raghothaman, D., Jayaraman, P., Teo, K. L., Khan, F. J., Reuveny, S., Chang, Y., Kang, N., & Oh, S. (2019). Rapid Detection of Senescent Mesenchymal Stromal Cells by a Fluorescent Probe. Biotechnology Journal, 14(10), 1800691. https://doi.org/10.1002/biot.201800691

Kim, J.-J., Lee, Y.-A., Su, D., Lee, J., Park, S.-J., Kim, B., … Chang, Y.-T. (2019). A Near-Infrared Probe Tracks and Treats Lung Tumor Initiating Cells by Targeting HMOX2. Journal of the American Chemical Society, 141(37), 14673–14686. https://doi.org/10.1021/jacs.9b06068

Kwon, H.-Y., Liu, X., Choi, E. G., Lee, J. Y., Choi, S.-Y., Kim, J.-Y., Wang, L., Park, S.-J., Kim, B., Lee, Y.-A., Kim, J.-J., Kang, N. Y., & Chang, Y.-T. (2019). Development of a Universal Fluorescent Probe for Gram-Positive Bacteria. Angewandte Chemie International Edition, 58(25), 8426–8431. https://doi.org/10.1002/anie.201902537

Abdurrachim, D., Woo, C. C., Teo, X. Q., Chan, W. X., Radda, G. K., & Lee, P. T. H. (2019). A new hyperpolarized 13C ketone body probe reveals an increase in acetoacetate utilization in the diabetic rat heart. Scientific Reports, 9(1), 5532. https://doi.org/10.1038/s41598-019-39378-w

Bell, G., Balasundaram, G., Attia, A. B. E., Mandino, F., Olivo, M., & Parkin, I. P. (2019). Functionalised iron oxide nanoparticles for multimodal optoacoustic and magnetic resonance imaging. Journal of Materials Chemistry B, 7(13), 2212–2219. https://doi.org/10.1039/C8TB02299B

Yuan, C., Chakraborty, S., Chitta, K. K., Subramanian, S., Lim, T. E., Han, W., Bhanu Prakash, K. N., Sugii, S., KN, B. P., & Sugii, S. (2019). Fast Adipogenesis Tracking System (FATS)-a robust, high-throughput, automation-ready adipogenesis quantification technique. Stem Cell Res. Ther., 10(1), 38. https://doi.org/10.1186/s13287-019-1141-0

Chuah, S. Y., Attia, A. B. E., Ho, C. J. H., Li, X., Lee, J. S.-S., Tan, M. W. P., Yong, A. A., Tan, A. W. M., Razansky, D., Olivo, M., & Thng, S. T. G. (2019). Volumetric Multispectral Optoacoustic Tomography for 3-Dimensional Reconstruction of Skin Tumors: A Further Evaluation with Histopathologic Correlation. Journal of Investigative Dermatology, 139(2), 481–485. https://doi.org/10.1016/j.jid.2018.08.014

van Lee, L., Crozier, S. R., Aris, I. M., Tint, M. T., Sadananthan, S. A., Michael, N., … Chong, M. F. F. (2019). Prospective associations of maternal choline status with offspring body composition in the first 5 years of life in two large mother–offspring cohorts: the Southampton Women’s Survey cohort and the Growing Up in Singapore Towards healthy Outcomes cohort. Int. J. Epidemiol. https://doi.org/10.1093/ije/dyy291

Park, S.-J., Kim, B., Choi, S., Balasubramaniam, S., Lee, S.-C., Lee, J. Y., Kim, H. S., Kim, J.-Y., Kim, J.-J., Lee, Y.-A., Kang, N.-Y., Kim, J.-S., & Chang, Y.-T. (2019). Imaging inflammation using an activated macrophage probe with Slc18b1 as the activation-selective gating target. Nat. Commun., 10(1), 1111. https://doi.org/10.1038/s41467-019-08990-9

Sandanaraj, E., Tang, C., Ng, G., Chen, B., Soong, T. W., Gao, Y., Robins, E. G., Low, S. W., Bhakoo, K., Nilius, B., Liao, P., Sekar, S., Ramasamy, B., & Goggi, J. (2019). Non-Invasive Multimodality Imaging Directly Shows TRPM4 Inhibition Ameliorates Stroke Reperfusion Injury. Transl. Stroke Res., 10(1), 91–103. https://doi.org/10.1007/s12975-018-0621-3

Husain, S. F., Lam, R. W. M., Hu, T., Ng, M. W. F., Liau, Z. Q. G., Nagata, K., Khanna, S., Lam, Y., Bhakoo, K., Ho, R. C. M., & Wong, H.-K. (2019). Locating the Site of Neuropathic Pain In Vivo Using MMP-12-Targeted Magnetic Nanoparticles. Pain Res. Manag., 2019. https://doi.org/10.1155/2019/9394715

Chan, K., Goggi, J. L., Robins, E. G., Boominathan, R., Cheng, P., Bhakoo, K. K., Haslop, A., & Soh, V. (2019). Imaging the Proangiogenic Effects of Cardiovascular Drugs in a Diabetic Model of Limb Ischemia. Contrast Media Mol. Imaging. https://doi.org/10.1155/2019/2538909

Yau, W. W., Singh, B. K., Lesmana, R., Zhou, J., Sinha, R. A., Wong, K. A., Wu, Y., Bay, B. H., Sugii, S., Sun, L., & Yen, P. M. (2019). Thyroid hormone (T3) stimulates brown adipose tissue activation via mitochondrial biogenesis and MTOR-mediated mitophagy. Autophagy, 15(1), 131–150. https://doi.org/10.1080/15548627.2018.1511263

Grandjean, J., Corcoba, A., Kahn, M. C., Upton, A. L., Deneris, E. S., Seifritz, E., Helmchen, F., Mann, E. O., Rudin, M., & Saab, B. J. (2019). A brain-wide functional map of the serotonergic responses to acute stress and fluoxetine. Nat. Commun., 10(1), 350. https://doi.org/10.1038/s41467-018-08256-w

Sadananthan, S. A., Tint, M. T., Michael, N., Aris, I. M., Loy, S. L., Lee, K. J., … Velan, S. S. (2019). Association Between Early Life Weight Gain and Abdominal Fat Partitioning at 4.5 Years is Sex, Ethnicity, and Age Dependent. Obesity , 27(3), 470–478. https://doi.org/10.1002/oby.22408

Srijaya, T. C., Sriram, S., Kasim, N. H. A., & Sugii, S. (2019). Chapter 16 - MSCs as Biological Drugs. In X.-D. Chen (Ed.), A Roadmap to Non-Hematopoietic Stem Cell-based Therapeutics (pp. 395–418). https://doi.org/10.1016/B978-0-12-811920-4.00016-1

Kurhanewicz, J., Vigneron, D. B., Ardenkjaer-Larsen, J. H., Bankson, J. A., Brindle, K., Cunningham, C. H., Gallagher, F. A., Keshari, K. R., Kjaer, A., Laustsen, C., & Others. (2019). Hyperpolarized 13C MRI: path to clinical translation in oncology. Neoplasia, 21(1), 1–16.

Bi, R., Dinish, U. S., Goh, C. C., Imai, T., Moothanchery, M., Li, X., Kim, J. Y., Jeon, S., Pu, Y., Kim, C., Ng, L. G., Wang, L. V, & Olivo, M. (2019). In vivo label‐free functional photoacoustic monitoring of ischemic reperfusion. Journal of Biophotonics, 0(ja), e201800454. https://doi.org/10.1002/jbio.201800454

Abdurrachim, D., Teo, X. Q., Woo, C. C., Chan, W. X., Lalic, J., Lam, C. S. P., & Lee, P. T. H. (2019). Empagliflozin reduces myocardial ketone utilization while preserving glucose utilization in diabetic hypertensive heart disease: A hyperpolarized 13 C magnetic resonance spectroscopy study. Diabetes Obes. Metab., 21(2), 357–365. https://doi.org/10.1111/dom.13536

Chan, Z., Ding, C., Chooi, Y. C., Choo, J., Sadananthan, S. A., Sasikala, S., Chang, A., Michael, N., Velan, S. S., Leow, M. K.-S., & Magkos, F. (2019). Ectopic fat and aerobic fitness are key determinants of glucose homeostasis in nonobese Asians. Eur. J. Clin. Invest., e13079. https://doi.org/10.1111/eci.13079

Sekar, S., Grandjean, J., Garnell, J. F., Willems, R., Duytschaever, H., Seramani, S., Su, H., Ver Donck, L., & Bhakoo, K. K. (2019). Neuro-metabolite profiles of rodent models of psychiatric dysfunctions characterised by MR spectroscopy. Neuropharmacology, 146, 109–116. https://doi.org/10.1016/j.neuropharm.2018.11.021

Tan, A. L. M., Langley, S. R., Tan, C. F., Chai, J. F., Khoo, C. M., Leow, M. K. S., … Petretto, E. (2019). Ethnicity-Specific Skeletal Muscle Transcriptional Signatures and Their Relevance to Insulin Resistance in Singapore. J. Clin. Endocrinol. Metab., 104(2), 465–486. https://doi.org/10.1210/jc.2018-00309

Ericksen, R. E., Lim, S. L., McDonnell, E., Shuen, W. H., Vadiveloo, M., White, P. J., Ding, Z., Kwok, R., Lee, P., Radda, G. K., Toh, H. C., Hirschey, M. D., & Han, W. (2019). Loss of BCAA Catabolism during Carcinogenesis Enhances mTORC1 Activity and Promotes Tumor Development and Progression. Cell Metab. https://doi.org/10.1016/j.cmet.2018.12.020

Chan, Z., Chooi, Y. C., Ding, C., Choo, J., Sadananthan, S. A., Michael, N., Velan, S. S., Leow, M. K., & Magkos, F. (2019). Sex Differences in Glucose and Fatty Acid Metabolism in Asians Who Are Nonobese. The Journal of Clinical Endocrinology & Metabolism, 104(1), 127–136. https://doi.org/10.1210/jc.2018-01421

Michael, N., Gupta, V., Sadananthan, S. A., Sampathkumar, A., Chen, L., Pan, H., … Velan, S. S. (2019). Determinants of intramyocellular lipid accumulation in early childhood. International Journal of Obesity, 1–11. https://doi.org/10.1038/s41366-019-0435-8

Abdurrachim, D., Teo, X. Q., Woo, C. C., Ong, S. Y., Salleh, N. F., Lalic, J., Tan, R.-S. S., & Lee, P. T. H. (2018). Cardiac metabolic modulation upon low-carbohydrate low-protein ketogenic diet in diabetic rats studied in vivo using hyperpolarized 13 C pyruvate, butyrate, and acetoacetate probes. Diabetes Obes. Metab. https://doi.org/10.1111/dom.13608

Ye, L., D’Agostino, G., Loo, S. J., Wang, C. X., Su, L. P., Tan, S. H., Tee, G. Z., Pua, C. J., Pena, E. M., Cheng, R. B., Chen, W. C., Abdurrachim, D., Lalic, J., Tan, R. S., Lee, T. H., Zhang, J., & Cook, S. A. (2018). Early Regenerative Capacity in the Porcine Heart. Circulation, 138(24), 2798–2808. https://doi.org/10.1161/CIRCULATIONAHA.117.031542

Kn, B. P., Yaligar, J., Verma, S. K., Gopalan, V., & Sendhil Velan, S. (2018). Rodent Abdominal Adipose Tissue Imaging by MR. Methods Mol. Biol., 1718, 259–268. https://doi.org/10.1007/978-1-4939-7531-0_15

Chee, H. L., Gan, C. R. R., Ng, M., Low, L., Fernig, D. G., Bhakoo, K. K., & Paramelle, D. (2018). Biocompatible Peptide-Coated Ultrasmall Superparamagnetic Iron Oxide Nanoparticles for In Vivo Contrast-Enhanced Magnetic Resonance Imaging. ACS Nano, 12(7), 6480–6491. https://doi.org/10.1021/acsnano.7b07572

Phua, S. C., Nihongaki, Y., & Inoue, T. (2018). Autonomy declared by primary cilia through compartmentalization of membrane phosphoinositides. Curr. Opin. Cell Biol., 50, 72–78. https://doi.org/10.1016/j.ceb.2018.01.008

Lv, Y., Dan Cheng, Dongdong Su, Chen, M., Yin, B.-C., Yuan, L., & Zhang, X.-B. (2018). Visualization of oxidative injury in the mouse kidney using selective superoxide anion fluorescent probes. Chem. Sci., 9(39), 7606–7613. https://doi.org/10.1039/c8sc03308k

Ong, Q., Han, W., & Yang, X. (2018). O-GlcNAc as an Integrator of Signaling Pathways. Front. Endocrinol., 9, 599. https://doi.org/10.3389/fendo.2018.00599

Ali, A., Levantini, E., Teo, J. T., Goggi, J., Clohessy, J. G., Wu, C. S., Chen, L., Yang, H., Krishnan, I., Kocher, O., Zhang, J., Soo, R. A., Bhakoo, K., Chin, T. M., & Tenen, D. G. (2018). Fatty acid synthase mediates EGFR palmitoylation in EGFR mutated non-small cell lung cancer. EMBO Mol. Med., 10(3). https://doi.org/10.15252/emmm.201708313

Moonshi, S. S., Zhang, C., Peng, H., Puttick, S., Rose, S., Fisk, N. M., Bhakoo, K., Stringer, B. W., Qiao, G. G., Gurr, P. A., & Whittaker, A. K. (2018). A unique 19F MRI agent for the tracking of non phagocytic cells in vivo. Nanoscale, 10(17), 8226–8239. https://doi.org/10.1039/c8nr00703a

Hu, M., Ji, F., Lu, Z., Huang, W., Khosrowabadi, R., Zhao, L., Ang, K. K., Phua, K. S., Nasrallah, F. A., Chuang, K.-H., Stephenson, M. C., Totman, J., Jiang, X., Chew, E., Guan, C., & Zhou, J. (2018). Differential Amplitude of Low-Frequency Fluctuations in brain networks after BCI Training with and without tDCS in Stroke. Conf. Proc. IEEE Eng. Med. Biol. Soc., 2018, 1050–1053. https://doi.org/10.1109/EMBC.2018.8512395

Peng, X., Zhang, Q., Liao, C., Han, W., & Xu, F. (2018). Epigenomic Control of Thermogenic Adipocyte Differentiation and Function. Int. J. Mol. Sci., 19(6). https://doi.org/10.3390/ijms19061793

Bi, R., Balasundaram, G., Jeon, S., Tay, H. C., Pu, Y., Li, X., Moothanchery, M., Kim, C., & Olivo, M. (2018). Photoacoustic microscopy for evaluating combretastatin A4 phosphate induced vascular disruption in orthotopic glioma. J. Biophotonics, 11(10), e201700327. https://doi.org/10.1002/jbio.201700327

Woo, C. C., Kaur, K., Chan, W. X., Teo, X. Q., & Lee, T. H. P. (2018). Inhibiting glycine decarboxylase suppresses pyruvate-to-lactate metabolism in lung cancer cells. Front. Oncol., 8, 196. https://doi.org/10.3389/fonc.2018.00196

Luo, S. X., Huang, J., Li, Q., Mohammad, H., Lee, C.-Y., Krishna, K., Kok, A. M.-Y., Tan, Y. L., Lim, J. Y., Li, H., Yeow, L. Y., Sun, J., He, M., Grandjean, J., Sajikumar, S., Han, W., & Fu, Y. (2018). Regulation of feeding by somatostatin neurons in the tuberal nucleus. Science, 361(6397), 76–81. https://doi.org/10.1126/science.aar4983

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Huang, S., Baimouratov, R., Xiao, P., Ananthasubramaniam, A., & Nowinski, W. L. (2006). A medical imaging and visualization toolkit in Java. J. Digit. Imaging, 19(1), 17–29. https://doi.org/10.1007/s10278-005-9247-6
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Hou, Z., Huang, S., Hu, Q., & Nowinski, W. L. (2006). A fast and automatic method to correct intensity inhomogeneity in MR brain images. Med. Image Comput. Comput. Assist. Interv., 9(Pt 2), 324–331. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/17354788

Golay, X., & Petersen, E. T. (2006). Arterial spin labeling: benefits and pitfalls of high magnetic field. Neuroimaging Clin. N. Am., 16(2), 259–268, x. https://doi.org/10.1016/j.nic.2006.02.003

Hou, Z. (2006). A Review on MR Image Intensity Inhomogeneity Correction. Int. J. Biomed. Imaging, 2006, 49515. https://doi.org/10.1155/IJBI/2006/49515

Xin, M., Lei, Z., Volkau, I., Weili, Z., Aziz, A., Ang  Jr, M. H., & Nowinski, W. L. (2006). A virtual reality simulator for remote interventional radiology: concept and prototype design. IEEE Trans. Biomed. Eng., 53(8), 1696–1700. https://doi.org/10.1109/TBME.2006.873762

Nowinski, W. L., Liu, J., & Thirunavuukarasuu, A. (2006). Quantification and visualization of the three-dimensional inconsistency of the subthalamic nucleus in the Schaltenbrand-Wahren brain atlas. Stereotact. Funct. Neurosurg., 84(1), 46–55. https://doi.org/10.1159/000093722

Nowinski, W. L., Prakash, B., Volkau, I., Ananthasubramaniam, A., & Beauchamp  Jr, N. J. (2006). Rapid and automatic calculation of the midsagittal plane in magnetic resonance diffusion and perfusion images. Acad. Radiol., 13(5), 652–663. https://doi.org/10.1016/j.acra.2006.01.051

Sun, J., Bronk, P., Liu, X., Han, W., & Südhof, T. C. (2006). Synapsins regulate use-dependent synaptic plasticity in the calyx of Held by a Ca2+/calmodulin-dependent pathway. Proc. Natl. Acad. Sci. U. S. A., 103(8), 2880–2885. https://doi.org/10.1073/pnas.0511300103

Nowinski, W. L., Qian, G., Bhanu Prakash, K. N., Hu, Q., & Aziz, A. (2006). Fast Talairach Transformation for magnetic resonance neuroimages. J. Comput. Assist. Tomogr., 30(4), 629–641. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/16845295

Nowinski, W. L., Liu, J., & Arumugam, T. (2006). Quantification and visualization of three-dimensional inconsistency of the globus pallidus internus in the Schaltenbrand-Wahren brain atlas. Stereotact. Funct. Neurosurg., 84(5–6), 236–242. https://doi.org/10.1159/000096497

Hu, Q., Hou, Z., & Nowinski, W. L. (2006). Supervised range-constrained thresholding. IEEE Trans. Image Process., 15(1), 228–240. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/16435552

Nowinski, W. L., Qian, G., Kirgaval Nagaraja, B. P., Thirunavuukarasuu, A., Hu, Q., Ivanov, N., Parimal, A. S., Runge, V. M., & Beauchamp, N. J. (2006). Analysis of ischemic stroke MR images by means of brain atlases of anatomy and blood supply territories. Acad. Radiol., 13(8), 1025–1034. https://doi.org/10.1016/j.acra.2006.05.009

Volkau, I., Prakash, B., Ananthasubramaniam, A., Gupta, V., Aziz, A., & Nowinski, W. L. (2006). Quantitative analysis of brain asymmetry by using the divergence measure: normal-pathological brain discrimination. Acad. Radiol., 13(6), 752–758. https://doi.org/10.1016/j.acra.2006.01.043

W.l., N., & KN, B. P. (2005). Dorsoventral extension of the talairach transformation and its automatic calculation for magnetic resonance neuroimages. J. Comput. Assist. Tomogr., 29(6), 863–879.

Nowinski, W. L., Belov, D., Thirunavuukarasuu, A., & Benabid, A. L. (2005). A probabilistic functional atlas of the VIM nucleus constructed from pre-, intra- and postoperative electrophysiological and neuroimaging data acquired during the surgical treatment of Parkinson’s disease patients. Stereotact. Funct. Neurosurg., 83(5–6), 190–196. https://doi.org/10.1159/000091082