Fei Zheng

1 week ago | pubs.acs.org | Xiang Chen |Fei Zheng |Yanna Hou |Biao Yang

Jan 15, 2025 | pubs.rsc.org | Fei Zheng |Yumin Zhang |Hui Zhou |Jiangnan Li

Mung Bean-Derived Carbon Dots Suppress Ferroptosis of Schwann Cells via Nrf2/HO-1/GPX4 Pathway to Promote Peripheral Nerve Repair Background: Schwann cells (SCs) can potentially transform into the repair-related cell phenotype after injury, which can promote nerve repair. Ferroptosis occurs in the SCs of injured tissues, causing damage to the SCs and exacerbating nerve injury.

Nov 4, 2024 | rmets.onlinelibrary.wiley.com | Xiaojuan Zhang |Fei Zheng |Zhiqiang Gong

CONFLICT OF INTEREST STATEMENT The authors declare no conflicts of interest. Supporting Information Filename Description joc8630-sup-0001-Figures.docWord document, 10.4 MB Data S1. Supporting Information. REFERENCES & (1999) Emergence of scaling in random networks. Science, 286, 509–512. Available from: https://doi.org/10.1126/science.286.5439.509 , , & (2012) Stability of climate networks with time. Scientific Reports, 2, 666.

Aug 27, 2024 | pubs.rsc.org | Fei Zheng

Distinct DNA Conformations during Forward and Backward Translocations through a Conical Nanopore DNA conformations, which encompass the three-dimensional structures of the DNA strand, play a crucial role in genome regulation. During DNA translocation in a nanopore, various conformations occur due to interactions among force fields, the fluidic environment, and polymer features.

Aug 23, 2024 | nature.com | Hongtao Xu |Hans W. Chen |Deliang Chen |Yingping Wang |Xu Yue |Lanlan Guo | +7 more

Wildfires cause critical shifts in ecosystem functions, such as dramatic reductions in vegetation productivity. However, how fast vegetation regains its pre-fire productivity levels and the key influencing factors remain poorly understood on a global scale. Here we present the global estimates of post-fire vegetation productivity recovery from 2004 to 2021 using gross primary productivity observations and related proxies at a spatial resolution of 10 km, employing a random forest model to identify the key factors influencing recovery time. Roughly 87% of burned vegetation regained pre-fire productivity levels within 2 years, with evergreen needleleaf forests and savannas displaying the lengthiest recovery periods. During the recovery phase, post-fire climate conditions, such as soil moisture, vapour pressure deficit and air temperature, had nonlinear impacts on recovery time globally. These climatic factors exhibited a dominant role in regional recovery time in ~89% of the globally assessed area. As climate aridity decreased, the areas where recovery time was dominated by soil moisture and vapour pressure deficit decreased, while the influence of temperature increased. Soil-moisture-dominated regions witnessed reduced proportions of promoting vegetation recovery as aridity decreased, whereas vapour pressure deficit and air-temperature-dominated regions saw an increase in such proportions. Regions with strong human interventions were associated with accelerated vegetation recovery compared with similar ecosystems with smaller human interventions. These findings had important implications for global carbon-cycle assessments and fire-management strategies. More than 80% of vegetation burned globally regained its pre-fire level of productivity within 2 years, according to an assessment of post-fire vegetation productivity from 2004 to 2021.