Results 241 to 250 of about 205,895 (382)
Alleviation of Aging‐Related Hallmarks in a Mouse Model of Progeria via a Nanoparticle‐Based Artificial Transcription Factor
Advanced Functional Materials, EarlyView.Oct4‐nanoscript, a biomimetic nanoparticle‐based artificial transcription factor, precisely regulates cellular rejuvenation by activating Oct4 target genes, restoring epigenetic marks, and reducing DNA damage. In a progeria model, it effectively rescued aging‐associated pathologies and extended lifespan.Hongwon Kim, Junyeop Kim, Euiyeon Lee, Brandon Conklin, Yannan Hou, Sumin Kim, Yerim Hwang, Ki‐Bum Lee, Jongpil Kim +8 morewiley +1 more sourceMultiparametric determination of genes and their point mutations for identification of beta-lactamases [PDF]
, 2010 A. A. Medeiros, A. Bauernfield, A. J. Brookes, A. M. Egorov, A. Nikulin, A. Philippon, A. Tamilselvi, A. Yu. Rubina, B. E. E. Cleven, B. Strommenger, C. C. Randegger, C. D. Steward, C. Heritier, C. Heritier, C. I. Birkett, C. Mabilat, C. Mugnaioli, D. E. Mudrak, D. Gryadunov, D. L. Paterson, D. L. Paterson, D. L. Paterson, D. M. Leinberger, D. M. Livermore, D. M. Livermore, D. M. Livermore, D. M. Livermore, D. M. Livermore, D. Szabo, D. V. Ivanov, E. B. Chaibi, E. M. Southern, F. Hayes, F. J. L. Robberts, F. Perez, F.-H. M’Zali, G. F. Weldhagen, H. C. Maltezou, H. F. Chambers, H. J. Monstein, H. Knothe, H. Wang, I. Massova, I. Rodriguez, I. Weigand, I. Wiegand, J. D. D. Pitout, J. D. D. Pitout, J. D. Pitout, J. D. Pitout, J. Empel, J. F. Petrosino, J. L. Jones, J. M. Ghuysen, J. Rodriguez-Bano, J. Schlesinger, J. Schmitt, J. W. Schumm, K. Bush, K. Bush, K. Bush, L. Bodrossy, L. Drieux, L. N. Ikryannikova, L. Pagani, L. Poirel, L. Poirel, L. S. Tzouvelekis, L. X. Zhu, L. Xu, L. Xu, M. Babic, M. Batchelor, M. Cassone, M. Chee, M. Edelstein, M. F. Lartigue, M. Guckenberger, M. H. Richmond, M. I. Page, M. J. Heller, M. J. Schwaber, M. J. Schwaber, M. M. Ulyashova, M. M. Ulyashova, M. Nukaga, M. Ozsoz, M. Quinteros, M. R. Mulvey, M. Schena, M. Shogo, M. Yu. Rubtsova, N. C. Strynadka, N. Datta, N. Shibata, N. Woodford, N. Woodford, P. A. James, P. Bradford, P. C. Fleming, P. M. Hawkey, R. Alonso, R. B. Sykes, R. Bonnet, R. Bonnet, R. Canton, R. D. Schmid, R. P. Ambler, S. Chen, S. Egorova, S. Harada, S. K. Du Bois, S. Kalai Blagui, S. V. Sidorenko, S. V. Sidorenko, T. L. Wu, T. Naas, T. R. Hughes, T. T. Bachmann, V. A. Doss, V. Chizhikov, V. Grimm, V. M. Ensor, V. Perreten, X. Cao, X. Yu, Y. Lee, Y. Michikawa +127 morecore +1 more sourceBacteria‐Derived Extracellular Vesicle as A “Trojan Horse” for Selective M1 Macrophage‐Targeting in A Multi‐Cellular Entanglement Environment
Advanced Functional Materials, EarlyView.The temporary transition of macrophages from a pro‐inflammatory phenotype of macrophages (M1) to an anti‐inflammatory phenotype of macrophages (M2) is crucial for tissue repair and regeneration processes. Bacterial outer membrane vesicles (OMVs) are utilized as a “trojan horse” for specific M1 macrophage‐targeting and anti‐inflammatory drug delivery ...Donglin Cai, Zhelun Li, Wendong Gao, Yuqing Mu, Jiaying Liu, Yufeng Zhang, Xiaohan Mei, Jingjing Quan, Lan Xiao, Yin Xiao +9 morewiley +1 more sourcePrevalence, bacterial profile, antimicrobial susceptibility patterns and associated risk factors of bacterial UTI among diabetic patients at Jigjiga University Sheik Hasan Yabare Comprehensive Specialized Hospital, Jigjiga, Eastern Ethiopia. [PDF]
BMC Infect DisTahir B, Tayib N, Ahmed AH, Tolossa D, Mekuria S, Barsenga S, Muse K, Tesfaye S, Tesfaye A, Getu F, Roble AK, Mahdi A, Osman M. +12 moreeuropepmc +1 more source