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Haibin Lu

Showing results (81-90 of 96) with videos related to

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ACS Omega|October 19, 2020
Biological Effects of Titanium Surface Charge with a Focus on Protein AdsorptionXianglong Ding, Shulan Xu, Shaobing Li, et al.
Journal of Inflammation Research|July 9, 2024
Cuproptosis-Related Genes as Prognostic Biomarkers for Sepsis: Insights into Immune Function and Personalized ImmunotherapyJun Zhang, Yinyu Wu, Yuanlin Du, et al.
Chemistry & Biology|February 27, 2013
A substrate-inspired probe monitors translocation, activation, and subcellular targeting of bacterial type III effector protease AvrPphBHaibin Lu, Zheming Wang, Mohammed Shabab, et al.
BMC Anesthesiology|November 10, 2023
Metabolomics and machine learning approaches for diagnostic and prognostic biomarkers screening in sepsisHan She, Yuanlin Du, Yunxia Du, et al.
Frontiers in Physiology|January 17, 2022
Impact of High-Altitude Hypoxia on Early Osseointegration With Bioactive TitaniumYarong Wang, Zekun Gan, Haibin Lu, et al.
Plant Physiology|June 7, 2015
Subfamily-Specific Fluorescent Probes for Cysteine Proteases Display Dynamic Protease Activities during Seed GerminationHaibin Lu, Balakumaran Chandrasekar, Julian Oeljeklaus, et al.
Molecular Plant Pathology|December 26, 2024
Cytokinin Plays a Multifaceted Role in Ralstonia solanacearum-Triggered Plant Disease DevelopmentXiang Wang, Qichang Gong, Shengyang Cheng, et al.
Molecular Plant-Microbe Interactions : MPMI|May 30, 2019
Deep Sequencing Reveals Early Reprogramming of <i>Arabidopsis</i> Root Transcriptomes Upon <i>Ralstonia solanacearum</i> InfectionCuizhu Zhao, Huijuan Wang, Yao Lu, et al.
Frontiers in Genetics|April 24, 2023
Identification of featured necroptosis-related genes and imbalanced immune infiltration in sepsis <i>via</i> machine learningHan She, Lei Tan, Ruibo Yang, et al.
International Journal of Nanomedicine|December 5, 2015
The effects of hierarchical micro/nanosurfaces decorated with TiO2 nanotubes on the bioactivity of titanium implants in vitro and in vivoXianglong Ding, Lei Zhou, Jingxu Wang, et al.
Pageof 10

Showing results (81-90 of 96) with videos related to

Sort By:
Pageof 10
ACS Omega|October 19, 2020
Biological Effects of Titanium Surface Charge with a Focus on Protein AdsorptionXianglong Ding, Shulan Xu, Shaobing Li, et al.
Journal of Inflammation Research|July 9, 2024
Cuproptosis-Related Genes as Prognostic Biomarkers for Sepsis: Insights into Immune Function and Personalized ImmunotherapyJun Zhang, Yinyu Wu, Yuanlin Du, et al.
Chemistry & Biology|February 27, 2013
A substrate-inspired probe monitors translocation, activation, and subcellular targeting of bacterial type III effector protease AvrPphBHaibin Lu, Zheming Wang, Mohammed Shabab, et al.
BMC Anesthesiology|November 10, 2023
Metabolomics and machine learning approaches for diagnostic and prognostic biomarkers screening in sepsisHan She, Yuanlin Du, Yunxia Du, et al.
Frontiers in Physiology|January 17, 2022
Impact of High-Altitude Hypoxia on Early Osseointegration With Bioactive TitaniumYarong Wang, Zekun Gan, Haibin Lu, et al.
Plant Physiology|June 7, 2015
Subfamily-Specific Fluorescent Probes for Cysteine Proteases Display Dynamic Protease Activities during Seed GerminationHaibin Lu, Balakumaran Chandrasekar, Julian Oeljeklaus, et al.
Molecular Plant Pathology|December 26, 2024
Cytokinin Plays a Multifaceted Role in Ralstonia solanacearum-Triggered Plant Disease DevelopmentXiang Wang, Qichang Gong, Shengyang Cheng, et al.
Molecular Plant-Microbe Interactions : MPMI|May 30, 2019
Deep Sequencing Reveals Early Reprogramming of <i>Arabidopsis</i> Root Transcriptomes Upon <i>Ralstonia solanacearum</i> InfectionCuizhu Zhao, Huijuan Wang, Yao Lu, et al.
Frontiers in Genetics|April 24, 2023
Identification of featured necroptosis-related genes and imbalanced immune infiltration in sepsis <i>via</i> machine learningHan She, Lei Tan, Ruibo Yang, et al.
International Journal of Nanomedicine|December 5, 2015
The effects of hierarchical micro/nanosurfaces decorated with TiO2 nanotubes on the bioactivity of titanium implants in vitro and in vivoXianglong Ding, Lei Zhou, Jingxu Wang, et al.
Pageof 10