화학공학소재연구정보센터
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No. Article
1 A single-cell transcriptomic atlas characterizes ageing tissues in the mouse
Almanzar N, Antony J, Baghel AS, Bakerman I, Bansal I, Barres BA, Beachy PA, Berdnik D, Bilen B, Brownfield D, Cain C, Chan CKF, Chen MB, Clarke MF, Conley SD, Darmanis S, Demers A, Demir K, De Morree A, du Bois TDH, Ebadi H, Espinoza FH, Fish M, Gan Q, George BM, Gillich A, Gomez-Sjoberg R, Green F, Genetiano G, Gu XY, Gulati GS, Hahn O, Haney MS, Hang Y, Harris L, He M, Hosseinzadeh S, Huang A, Huang KC, Iram T, Isobe T, Ives F, Jones RC, Kao KS, Karkanias J, Karnam G, Keller A, Kershner AM, Khoury N, Kim SK, Kiss BM, Kong W, Krasnow MA, Kumar ME, Kuo CS, Lam J, Lee DP, Lee SE, Lehallier B, Leventhal O, Li G, Li QY, Liu L, Lo A, Lu WJ, Lugo-Fagundo MF, Manjunath A, May AP, Maynard A, McGeever A, Mckay M, McNerney MW, Merrill B, Metzger RJ, Mignardi M, Min D, Nabhan AN, Neff NF, Ng KM, Nguyen PK, Noh J, Nusse R, Palovics R, Patkar R, Peng WC, Penland L, Pisco AO, Pollard K, Puccinelli R, Qi Z, Quake SR, Rando TA, Rulifson EJ, Schaum N, Segal JM, Sikandar SS, Sinha R, Sit RV, Sonnenburg J, Staehli D, Szade K, Tan M, Tan WL, Tato C, Tellez K, Dulgeroff LBT, Travaglini KJ, Tropini C, Tsui M, Waldburger L, Wang BM, van Weele LJ, Weinberg K, Weissman IL, Wosczyna MN, Wu SM, Wyss-Coray T, Xiang JY, Xue S, Yamauchi KA, Yang AC, Yerra LP, Youngyunpipatkul J, Yu B, Zanini F, Zardeneta ME, Zee A, Zhao CY, Zhang F, Zhang H, Zhang MJ, Zhou L, Zou J
Nature, 583(7817), 590, 2020
2 A single-cell transcriptomic atlas characterizes ageing tissues in the mouse
Almanzar N, Antony J, Baghel AS, Bakerman I, Bansal I, Barres BA, Beachy PA, Berdnik D, Bilen B, Brownfield D, Cain C, Chan CKF, Chen MB, Clarke MF, Conley SD, Darmanis S, Demers A, Demir K, De Morree A, du Bois TDH, Ebadi H, Espinoza FH, Fish M, Gan Q, George BM, Gillich A, Gomez-Sjoberg R, Green F, Genetiano G, Gu XY, Gulati GS, Hahn O, Haney MS, Hang Y, Harris L, He M, Hosseinzadeh S, Huang A, Huang KC, Iram T, Isobe T, Ives F, Jones RC, Kao KS, Karkanias J, Karnam G, Keller A, Kershner AM, Khoury N, Kim SK, Kiss BM, Kong W, Krasnow MA, Kumar ME, Kuo CS, Lam J, Lee DP, Lee SE, Lehallier B, Leventhal O, Li G, Li QY, Liu L, Lo A, Lu WJ, Lugo-Fagundo MF, Manjunath A, May AP, Maynard A, McGeever A, Mckay M, McNerney MW, Merrill B, Metzger RJ, Mignardi M, Min D, Nabhan AN, Neff NF, Ng KM, Nguyen PK, Noh J, Nusse R, Palovics R, Patkar R, Peng WC, Penland L, Pisco AO, Pollard K, Puccinelli R, Qi Z, Quake SR, Rando TA, Rulifson EJ, Schaum N, Segal JM, Sikandar SS, Sinha R, Sit RV, Sonnenburg J, Staehli D, Szade K, Tan M, Tan WL, Tato C, Tellez K, Dulgeroff LBT, Travaglini KJ, Tropini C, Tsui M, Waldburger L, Wang BM, van Weele LJ, Weinberg K, Weissman IL, Wosczyna MN, Wu SM, Wyss-Coray T, Xiang JY, Xue S, Yamauchi KA, Yang AC, Yerra LP, Youngyunpipatkul J, Yu B, Zanini F, Zardeneta ME, Zee A, Zhao CY, Zhang F, Zhang H, Zhang MJ, Zhou L, Zou J
Nature, 583(7817), 590, 2020
3 Predicting a Drug's Membrane Permeability: A Computational Model Validated With in Vitro Permeability Assay Data
Bennion BJ, Be NA, McNerney MW, Lao V, Carlson EM, Valdez CA, Malfatti MA, Enright HA, Nguyen TH, Lightstone FC, Carpenter TS
Journal of Physical Chemistry B, 121(20), 5228, 2017