Genome-wide identification and characterization of NF-Y gene family in peanut (Arachis hypogaea L.)

Wan, Qian; Luo, Lu; Zhang, Xiurong; Lv, Yuying; Zhu, Suqing; Kong, Lingrang; Wan, Yongshan; Liu, Fengzhen; Zhang, Kun

doi:10.21203/rs.2.11389/v1

Cited by 9 publications

(9 citation statements)

References 54 publications

(60 reference statements)

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“…The aggregation state of Ab 1-42 appears to affect the binding of Fe 2+ and Fe 3+ and thus influences the iron redox cycle and consequently the release of free radicals via Fenton chemistry (House et al, 2004;Khan et al, 2006;Rival et al, 2009). In vitro studies have also demonstrated that this coexistence of iron and Ab decreases cell viability, confirming this enhanced toxicity (Liu et al, 2011;Rottkamp et al, 2001;Wan et al, 2011).…”

Section: Introductionmentioning

confidence: 86%

Iron Biochemistry is Correlated with Amyloid Plaque Morphology in an Established Mouse Model of Alzheimer's Disease

Telling

Everett

Collingwood

et al. 2017

Cell Chemical Biology

133

118

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A signature characteristic of Alzheimer's disease (AD) is aggregation of amyloid-beta (Aβ) fibrils in the brain. Nevertheless, the links between Aβ and AD pathology remain incompletely understood. It has been proposed that neurotoxicity arising from aggregation of the Aβ peptide can in part be explained by metal ion binding interactions. Using advanced X-ray microscopy techniques at sub-micron resolution, we investigated relationships between iron biochemistry and AD pathology in intact cortex from an established mouse model over-producing Aβ. We found a direct correlation of amyloid plaque morphology with iron, and evidence for the formation of an iron-amyloid complex. We also show that iron biomineral deposits in the cortical tissue contain the mineral magnetite, and provide evidence that Aβ-induced chemical reduction of iron could occur in vivo. Our observations point to the specific role of iron in amyloid deposition and AD pathology, and may impact development of iron-modifying therapeutics for AD.

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Section: Introductionmentioning

confidence: 86%

Iron Biochemistry is Correlated with Amyloid Plaque Morphology in an Established Mouse Model of Alzheimer's Disease

Telling

Everett

Collingwood

et al. 2017

Cell Chemical Biology

133

118

View full text Add to dashboard Cite

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“…In addition, 4D bioprinting has been developed to produce dynamic 3D-patterned biological architectures with stimuli-responsive materials, which exhibited changeable shapes under various certain stimuli. [41] On the other hand, the combination of scaffolds with NPs or biological morphogenetic molecules such as bone morphogenetic protein 2 (BMP-2) can be a pragmatic approach to achieve multiple therapeutic goals. A variety of scaffoldbased strategies are employed in the restoration of differentscale damage, as depicted in Figure 3B: (i) synthetic scaffolds, (ii) scaffolds combined with active molecules, and (iii) tissueengineered/cell-seeded scaffolds.…”

Section:  Scaffold-based Strategiesmentioning

confidence: 99%

Biomaterials and nanomedicine for bone regeneration: Progress and future prospects

et al. 2021

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Bone defects pose a heavy burden on patients, orthopedic surgeons, and public health resources. Various pathological conditions cause bone defects including trauma, tumors, inflammation, osteoporosis, and so forth. Auto‐ and allograft transplantation have been developed as the most commonly used clinic treatment methods, among which autologous bone grafts are the golden standard. Yet the repair of bone defects, especially large‐volume defects in the geriatric population or those complicated with systemic disease, is still a challenge for regenerative medicine from the clinical perspective. The fast development of biomaterials and nanomedicine favors the emergence and promotion of efficient bone regeneration therapies. In this review, we briefly summarize the progress of novel biomaterial and nanomedical approaches to bone regeneration and then discuss the current challenges that still hinder their clinical applications in treating bone defects.

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“…Solubility of supercritical CO 2 in polymers is the key factor affecting the performance of foamed materials and also widely used in the extraction and separation of various chemicals and the preparation and modification of new materials, displaying good prospects in theoretical research and application [1][2][3][4][5][6]. Under the supercritical conditions of high temperature and high pressure, the dissolution behaviour is affected by many factors and shows nonlinear, non-equilibrium, dynamic and critical properties, which result in the difficulty in the study of dissolution experiments [7][8][9][10][11][12][13][14][15]. The current information technology and artificial intelligence have provided theoretical and technical support for the calculation and simulation of material properties.…”

Section: Introductionmentioning

confidence: 99%

A double-population chaotic self-adaptive evolutionary dynamics model for the prediction of supercritical carbon dioxide solubility in polymers

Yan

Zhang

et al. 2022

R. Soc. open sci.

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Solubility of gas in polymers is an important physico-chemical property of foam materials and widely used in the preparation and modification of new materials. Under the conditions of high temperature and high pressure, the dissolution process is a nonlinear, non-equilibrium and dynamic process, so it is difficult to establish an accurate solubility calculation model. Inspired by particle dynamics and evolutionary algorithm, this paper proposes a hybrid model based on chaotic self-adaptive particle dynamics evolutionary algorithm (CSA-PD-EA), which can use the iterative process of particles in evolutionary algorithms at the dynamic level to simulate the mutual diffusion process of molecules during dissolution. The predicted solubility of supercritical CO 2 in poly(d,l-lactide- co -glycolide), poly(l-lactide) and poly(vinyl acetate) indicated that the comprehensive prediction performance of the CSA-PD-EA model was high. The calculation error and correlation coefficient were, respectively, 0.3842 and 0.9187. The CSA-PD-EA model showed prominent advantages in accuracy, efficiency and correlation over other computational models, and its calculation time was 4.144–15.012% of that of other dynamic models. The CSA-PD-EA model has wide application prospects in the computation of physical and chemical properties and can provide the basis for the theoretical calculation of multi-scale complex systems in chemistry, materials, biology and physics.

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Genome-wide identification and characterization of NF-Y gene family in peanut (Arachis hypogaea L.)

Abstract: Background

Cited by 9 publications

References 54 publications

Iron Biochemistry is Correlated with Amyloid Plaque Morphology in an Established Mouse Model of Alzheimer's Disease

Iron Biochemistry is Correlated with Amyloid Plaque Morphology in an Established Mouse Model of Alzheimer's Disease

Biomaterials and nanomedicine for bone regeneration: Progress and future prospects

A double-population chaotic self-adaptive evolutionary dynamics model for the prediction of supercritical carbon dioxide solubility in polymers

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