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Showing 349 to 355 of 355 entries
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[Analysis and Application of Seven Common New Psychoactive Substances of Synthetic Cannabinoids in Hair].

Fa yi xue za zhi

Shi Y, Zhou LY, Shen BH, Chen H, Liu MX, Xiang P, Liu W.
PMID: 34725999
Fa Yi Xue Za Zhi. 2021 Aug;37(4):479-485. doi: 10.12116/j.issn.1004-5619.2021.310301.

ABSTRACT: Objective To establish a detection method for common new psychoactive substances of synthetic cannabinoids in hair with ultra-high performance liquid chromatography-tandem mass spectrometry （UPLC-MS/MS）. Methods In the 1 mL of internal standard methanol solution, 20 mg hair was...

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Shi Y, Zhou LY, Shen BH, et al. [Analysis and Application of Seven Common New Psychoactive Substances of Synthetic Cannabinoids in Hair]. Fa Yi Xue Za Zhi. 2021;37(4):479-485doi: 10.12116/j.issn.1004-5619.2021.310301.
Shi, Y., Zhou, L. Y., Shen, B. H., Chen, H., Liu, M. X., Xiang, P., & Liu, W. (2021). [Analysis and Application of Seven Common New Psychoactive Substances of Synthetic Cannabinoids in Hair]. Fa yi xue za zhi, 37(4), 479-485. https://doi.org/10.12116/j.issn.1004-5619.2021.310301
Shi, Y, et al. "[Analysis and Application of Seven Common New Psychoactive Substances of Synthetic Cannabinoids in Hair]." Fa yi xue za zhi vol. 37,4 (2021): 479-485. doi: https://doi.org/10.12116/j.issn.1004-5619.2021.310301
Shi Y, Zhou LY, Shen BH, Chen H, Liu MX, Xiang P, Liu W. [Analysis and Application of Seven Common New Psychoactive Substances of Synthetic Cannabinoids in Hair]. Fa Yi Xue Za Zhi. 2021 Aug;37(4):479-485. doi: 10.12116/j.issn.1004-5619.2021.310301. Chinese. PMID: 34725999.
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MCRS1 overexpression, which is specifically inhibited by miR-129*, promotes the epithelial-mesenchymal transition and metastasis in non-small cell lung cancer.

Molecular cancer

Liu MX, Zhou KC, Cao Y.
PMID: 25373388
Mol Cancer. 2014 Nov 06;13:245. doi: 10.1186/1476-4598-13-245.

BACKGROUND: Although tumor invasion and metastasis are both classical hallmarks of cancer malignancy and the major causes of poor clinical outcomes among cancer patients, the underlying master regulators of invasion and metastasis remain largely unknown. In this study, we...

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Liu MX, Zhou KC, Cao Y. MCRS1 overexpression, which is specifically inhibited by miR-129*, promotes the epithelial-mesenchymal transition and metastasis in non-small cell lung cancer. Mol Cancer. 2014;13:245doi: 10.1186/1476-4598-13-245.
Liu, M. X., Zhou, K. C., & Cao, Y. (2014). MCRS1 overexpression, which is specifically inhibited by miR-129*, promotes the epithelial-mesenchymal transition and metastasis in non-small cell lung cancer. Molecular cancer, 13245. https://doi.org/10.1186/1476-4598-13-245
Liu, Min-Xia, et al. "MCRS1 overexpression, which is specifically inhibited by miR-129*, promotes the epithelial-mesenchymal transition and metastasis in non-small cell lung cancer." Molecular cancer vol. 13 (2014): 245. doi: https://doi.org/10.1186/1476-4598-13-245
Liu MX, Zhou KC, Cao Y. MCRS1 overexpression, which is specifically inhibited by miR-129*, promotes the epithelial-mesenchymal transition and metastasis in non-small cell lung cancer. Mol Cancer. 2014 Nov 06;13:245. doi: 10.1186/1476-4598-13-245. PMID: 25373388; PMCID: PMC4233086.
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[Treatment of Tourette syndrome by tomoxetine hydrochloride in older children].

Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics

Liu MX, Zhou Y, Xu T.
PMID: 25406564
Zhongguo Dang Dai Er Ke Za Zhi. 2014 Nov;16(11):1162-4.

No abstract available.

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Liu MX, Zhou Y, Xu T. [Treatment of Tourette syndrome by tomoxetine hydrochloride in older children]. Zhongguo Dang Dai Er Ke Za Zhi. 2014;16(11):1162-4
Liu, M. X., Zhou, Y., & Xu, T. (2014). [Treatment of Tourette syndrome by tomoxetine hydrochloride in older children]. Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 16(11), 1162-4.
Liu, Ming-Xia, et al. "[Treatment of Tourette syndrome by tomoxetine hydrochloride in older children]." Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics vol. 16,11 (2014): 1162-4.
Liu MX, Zhou Y, Xu T. [Treatment of Tourette syndrome by tomoxetine hydrochloride in older children]. Zhongguo Dang Dai Er Ke Za Zhi. 2014 Nov;16(11):1162-4. Chinese. PMID: 25406564.
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An open repository of real-time COVID-19 indicators.

Proceedings of the National Academy of Sciences of the United States of America

Reinhart A, Brooks L, Jahja M, Rumack A, Tang J, Agrawal S, Al Saeed W, Arnold T, Basu A, Bien J, Cabrera ÁA, Chin A, Chua EJ, Clark B, Colquhoun S, DeFries N, Farrow DC, Forlizzi J, Grabman J, Gratzl S, Green A, Haff G, Han R, Harwood K, Hu AJ, Hyde R, Hyun S, Joshi A, Kim J, Kuznetsov A, La Motte-Kerr W, Lee YJ, Lee K, Lipton ZC, Liu MX, Mackey L, Mazaitis K, McDonald DJ, McGuinness P, Narasimhan B, O'Brien MP, Oliveira NL, Patil P, Perer A, Politsch CA, Rajanala S, Rucker D, Scott C, Shah NH, Shankar V, Sharpnack J, Shemetov D, Simon N, Smith BY, Srivastava V, Tan S, Tibshirani R, Tuzhilina E, Van Nortwick AK, Ventura V, Wasserman L, Weaver B, Weiss JC, Whitman S, Williams K, Rosenfeld R, Tibshirani RJ.
PMID: 34903654
Proc Natl Acad Sci U S A. 2021 Dec 21;118(51). doi: 10.1073/pnas.2111452118.

The COVID-19 pandemic presented enormous data challenges in the United States. Policy makers, epidemiological modelers, and health researchers all require up-to-date data on the pandemic and relevant public behavior, ideally at fine spatial and temporal resolution. The COVIDcast API...

Cite
Reinhart A, Brooks L, Jahja M, et al. An open repository of real-time COVID-19 indicators. Proc Natl Acad Sci U S A. 2021;118(51)doi: 10.1073/pnas.2111452118.
Reinhart, A., Brooks, L., Jahja, M., Rumack, A., Tang, J., Agrawal, S., Al Saeed, W., Arnold, T., Basu, A., Bien, J., Cabrera, �. �. A., Chin, A., Chua, E. J., Clark, B., Colquhoun, S., DeFries, N., Farrow, D. C., Forlizzi, J., Grabman, J., Gratzl, S., Green, A., Haff, G., Han, R., Harwood, K., Hu, A. J., Hyde, R., Hyun, S., Joshi, A., Kim, J., Kuznetsov, A., La Motte-Kerr, W., Lee, Y. J., Lee, K., Lipton, Z. C., Liu, M. X., Mackey, L., Mazaitis, K., McDonald, D. J., McGuinness, P., Narasimhan, B., O'Brien, M. P., Oliveira, N. L., Patil, P., Perer, A., Politsch, C. A., Rajanala, S., Rucker, D., Scott, C., Shah, N. H., Shankar, V., Sharpnack, J., Shemetov, D., Simon, N., Smith, B. Y., Srivastava, V., Tan, S., Tibshirani, R., Tuzhilina, E., Van Nortwick, A. K., Ventura, V., Wasserman, L., Weaver, B., Weiss, J. C., Whitman, S., Williams, K., Rosenfeld, R., & Tibshirani, R. J. (2021). An open repository of real-time COVID-19 indicators. Proceedings of the National Academy of Sciences of the United States of America, 118(51), . https://doi.org/10.1073/pnas.2111452118
Reinhart, Alex, et al. "An open repository of real-time COVID-19 indicators." Proceedings of the National Academy of Sciences of the United States of America vol. 118,51 (2021). doi: https://doi.org/10.1073/pnas.2111452118
Reinhart A, Brooks L, Jahja M, Rumack A, Tang J, Agrawal S, Al Saeed W, Arnold T, Basu A, Bien J, Cabrera ÁA, Chin A, Chua EJ, Clark B, Colquhoun S, DeFries N, Farrow DC, Forlizzi J, Grabman J, Gratzl S, Green A, Haff G, Han R, Harwood K, Hu AJ, Hyde R, Hyun S, Joshi A, Kim J, Kuznetsov A, La Motte-Kerr W, Lee YJ, Lee K, Lipton ZC, Liu MX, Mackey L, Mazaitis K, McDonald DJ, McGuinness P, Narasimhan B, O'Brien MP, Oliveira NL, Patil P, Perer A, Politsch CA, Rajanala S, Rucker D, Scott C, Shah NH, Shankar V, Sharpnack J, Shemetov D, Simon N, Smith BY, Srivastava V, Tan S, Tibshirani R, Tuzhilina E, Van Nortwick AK, Ventura V, Wasserman L, Weaver B, Weiss JC, Whitman S, Williams K, Rosenfeld R, Tibshirani RJ. An open repository of real-time COVID-19 indicators. Proc Natl Acad Sci U S A. 2021 Dec 21;118(51). doi: 10.1073/pnas.2111452118. PMID: 34903654.
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Drug-target interaction prediction by random walk on the heterogeneous network.

Molecular bioSystems

Chen X, Liu MX, Yan GY.
PMID: 22538619
Mol Biosyst. 2012 Jul 06;8(7):1970-8. doi: 10.1039/c2mb00002d. Epub 2012 Apr 26.

Predicting potential drug-target interactions from heterogeneous biological data is critical not only for better understanding of the various interactions and biological processes, but also for the development of novel drugs and the improvement of human medicines. In this paper,...

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Chen X, Liu MX, Yan GY. Drug-target interaction prediction by random walk on the heterogeneous network. Mol Biosyst. 2012;8(7):1970-8doi: 10.1039/c2mb00002d.
Chen, X., Liu, M. X., & Yan, G. Y. (2012). Drug-target interaction prediction by random walk on the heterogeneous network. Molecular bioSystems, 8(7), 1970-8. https://doi.org/10.1039/c2mb00002d
Chen, Xing, et al. "Drug-target interaction prediction by random walk on the heterogeneous network." Molecular bioSystems vol. 8,7 (2012): 1970-8. doi: https://doi.org/10.1039/c2mb00002d
Chen X, Liu MX, Yan GY. Drug-target interaction prediction by random walk on the heterogeneous network. Mol Biosyst. 2012 Jul 06;8(7):1970-8. doi: 10.1039/c2mb00002d. Epub 2012 Apr 26. PMID: 22538619.
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PEGylation of boronate-affinity-oriented surface imprinting magnetic nanoparticles with improved performance.

Talanta

Luo Y, Bai CC, Liu MX, Wang D, Chen MY, Yu SS, Bu XY, Wang XH.
PMID: 34857325
Talanta. 2022 Feb 01;238:122992. doi: 10.1016/j.talanta.2021.122992. Epub 2021 Oct 22.

High specific selectivity is the continuous goal of exploit glycoprotein-imprinted materials. Boronate-affinity-oriented surface imprinting can limit the heterogeneity of imprinted cavities, and PEGylation can reduce the nonspecific adsorption of imprinted materials towards non-target molecules. However, there are no reports...

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Luo Y, Bai CC, Liu MX, et al. PEGylation of boronate-affinity-oriented surface imprinting magnetic nanoparticles with improved performance. Talanta. 2021;238:122992doi: 10.1016/j.talanta.2021.122992.
Luo, Y., Bai, C. C., Liu, M. X., Wang, D., Chen, M. Y., Yu, S. S., Bu, X. Y., & Wang, X. H. (2022). PEGylation of boronate-affinity-oriented surface imprinting magnetic nanoparticles with improved performance. Talanta, 238122992. https://doi.org/10.1016/j.talanta.2021.122992
Luo, Yi, et al. "PEGylation of boronate-affinity-oriented surface imprinting magnetic nanoparticles with improved performance." Talanta vol. 238 (2022): 122992. doi: https://doi.org/10.1016/j.talanta.2021.122992
Luo Y, Bai CC, Liu MX, Wang D, Chen MY, Yu SS, Bu XY, Wang XH. PEGylation of boronate-affinity-oriented surface imprinting magnetic nanoparticles with improved performance. Talanta. 2022 Feb 01;238:122992. doi: 10.1016/j.talanta.2021.122992. Epub 2021 Oct 22. PMID: 34857325.
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An open repository of real-time COVID-19 indicators.

Proceedings of the National Academy of Sciences of the United States of America

Reinhart A, Brooks L, Jahja M, Rumack A, Tang J, Agrawal S, Al Saeed W, Arnold T, Basu A, Bien J, Cabrera ÁA, Chin A, Chua EJ, Clark B, Colquhoun S, DeFries N, Farrow DC, Forlizzi J, Grabman J, Gratzl S, Green A, Haff G, Han R, Harwood K, Hu AJ, Hyde R, Hyun S, Joshi A, Kim J, Kuznetsov A, La Motte-Kerr W, Lee YJ, Lee K, Lipton ZC, Liu MX, Mackey L, Mazaitis K, McDonald DJ, McGuinness P, Narasimhan B, O'Brien MP, Oliveira NL, Patil P, Perer A, Politsch CA, Rajanala S, Rucker D, Scott C, Shah NH, Shankar V, Sharpnack J, Shemetov D, Simon N, Smith BY, Srivastava V, Tan S, Tibshirani R, Tuzhilina E, Van Nortwick AK, Ventura V, Wasserman L, Weaver B, Weiss JC, Whitman S, Williams K, Rosenfeld R, Tibshirani RJ.
PMID: 34903654
Proc Natl Acad Sci U S A. 2021 Dec 21;118(51). doi: 10.1073/pnas.2111452118.

The COVID-19 pandemic presented enormous data challenges in the United States. Policy makers, epidemiological modelers, and health researchers all require up-to-date data on the pandemic and relevant public behavior, ideally at fine spatial and temporal resolution. The COVIDcast API...

Cite
Reinhart A, Brooks L, Jahja M, et al. An open repository of real-time COVID-19 indicators. Proc Natl Acad Sci U S A. 2021;118(51)doi: 10.1073/pnas.2111452118.
Reinhart, A., Brooks, L., Jahja, M., Rumack, A., Tang, J., Agrawal, S., Al Saeed, W., Arnold, T., Basu, A., Bien, J., Cabrera, �. �. A., Chin, A., Chua, E. J., Clark, B., Colquhoun, S., DeFries, N., Farrow, D. C., Forlizzi, J., Grabman, J., Gratzl, S., Green, A., Haff, G., Han, R., Harwood, K., Hu, A. J., Hyde, R., Hyun, S., Joshi, A., Kim, J., Kuznetsov, A., La Motte-Kerr, W., Lee, Y. J., Lee, K., Lipton, Z. C., Liu, M. X., Mackey, L., Mazaitis, K., McDonald, D. J., McGuinness, P., Narasimhan, B., O'Brien, M. P., Oliveira, N. L., Patil, P., Perer, A., Politsch, C. A., Rajanala, S., Rucker, D., Scott, C., Shah, N. H., Shankar, V., Sharpnack, J., Shemetov, D., Simon, N., Smith, B. Y., Srivastava, V., Tan, S., Tibshirani, R., Tuzhilina, E., Van Nortwick, A. K., Ventura, V., Wasserman, L., Weaver, B., Weiss, J. C., Whitman, S., Williams, K., Rosenfeld, R., & Tibshirani, R. J. (2021). An open repository of real-time COVID-19 indicators. Proceedings of the National Academy of Sciences of the United States of America, 118(51), . https://doi.org/10.1073/pnas.2111452118
Reinhart, Alex, et al. "An open repository of real-time COVID-19 indicators." Proceedings of the National Academy of Sciences of the United States of America vol. 118,51 (2021). doi: https://doi.org/10.1073/pnas.2111452118
Reinhart A, Brooks L, Jahja M, Rumack A, Tang J, Agrawal S, Al Saeed W, Arnold T, Basu A, Bien J, Cabrera ÁA, Chin A, Chua EJ, Clark B, Colquhoun S, DeFries N, Farrow DC, Forlizzi J, Grabman J, Gratzl S, Green A, Haff G, Han R, Harwood K, Hu AJ, Hyde R, Hyun S, Joshi A, Kim J, Kuznetsov A, La Motte-Kerr W, Lee YJ, Lee K, Lipton ZC, Liu MX, Mackey L, Mazaitis K, McDonald DJ, McGuinness P, Narasimhan B, O'Brien MP, Oliveira NL, Patil P, Perer A, Politsch CA, Rajanala S, Rucker D, Scott C, Shah NH, Shankar V, Sharpnack J, Shemetov D, Simon N, Smith BY, Srivastava V, Tan S, Tibshirani R, Tuzhilina E, Van Nortwick AK, Ventura V, Wasserman L, Weaver B, Weiss JC, Whitman S, Williams K, Rosenfeld R, Tibshirani RJ. An open repository of real-time COVID-19 indicators. Proc Natl Acad Sci U S A. 2021 Dec 21;118(51). doi: 10.1073/pnas.2111452118. PMID: 34903654.
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Showing 349 to 355 of 355 entries