Natalia Roque^1,#, Diana Matias^2,#, Joana Balça-Silva³, Valéria Pereira Ferrer⁴, Luciana Santos Pessoa¹, Tania Cristina Leite de Sampaio e Spohr^1,5,*

Oncologie, Vol.24, No.3, pp. 371-411, 2022, DOI:10.32604/oncologie.2022.024035

Abstract Cancer is one of the deadliest diseases with a cure far from being found. Despite the extraordinary advances in the therapy approaches, only a few patients respond to treatments. The tumor microenvironment (TME) plays a crucial role in cancer progression by contributing to the chemoresistance. Thus, emerging efforts are being made in nanotechnology research focusing on nanoparticles’ potential role and their application in immune system modulation. Moreover, the omics have contributed to bioengineering and nanotechnology development by elucidating the mechanisms of cancer and specific biomarkers that could be used as new therapeutic targets. Furthermore, the non-coding microRNA as a target… More >

Yan Wan^1,#, Yuan Liang^1,#, Xuxiao Gong^1,#, Jianyong Ouyang¹, Jingwei Huang², Xiaoyong Wu¹, Qi Wu¹, Changying Liu¹, Xueling Ye¹, Xiaoning Cao³, Gang Zhao¹, Liang Zou^1,*, Dabing Xiang^1,*

Phyton-International Journal of Experimental Botany, Vol.92, No.1, pp. 35-54, 2023, DOI:10.32604/phyton.2022.021698

Abstract Tartary buckwheat (Fagopyrum tataricum) is an important pseudocereal feed crop with medicinal and nutritional value. Drought is one of the main causes of reduced growth and yield in these plants. We investigated the growth, physiological, and metabolic responses of the widely promoted Tartary buckwheat variety Chuan Qiao No. 1 to polyethylene glycol (PEG)-mediated drought stress. Drought significantly decreased shoot length, shoot biomass and relative water content. Root length, malondialdehyde content, electrolyte leakage, activities of superoxide dismutase, peroxidase, catalase and amylase, and contents of soluble sugar, soluble protein and proline were increased by PEG-mediated drought. Untargeted metabolomics analysis identified 32 core… More >

Piao Yongfeng^*†‡§1, Jiang Chuner^*¶#1, Wang Lei^*†‡§, Yan Fengqin^*†‡§, Ye Zhimin^*†‡§, Fu Zhenfu^*†‡§, Jiang Haitao^*,**††, Jiang Yangming^‡‡, Wang Fangzheng^*†‡§

Oncology Research, Vol.28, No.6, pp. 605-613, 2020, DOI:10.3727/096504020X16022401878096

Abstract The aim of this study was to explore the predictive role of pretreatment MRI-based radiomics on early response of neoadjuvant chemotherapy (NAC) in locoregionally advanced nasopharyngeal carcinoma (NPC) patients. Between January 2016 and December 2016, a total of 108 newly diagnosed NPC patients who were hospitalized in the Cancer Hospital of the University of Chinese Academy of Sciences were reviewed. All patients had complete data of enhanced MR of nasopharynx before treatment, and then received two to three cycles of TP-based NAC. After 2 cycles of NAC, enhanced MR of nasopharynx was conducted again. Compared with the enhanced MR images… More >

Lingdi Liu, Chunxiu Wen, Wei Tian, Xiaoliang Xie, Saiqun Wen, Tao Jiang^*

Phyton-International Journal of Experimental Botany, Vol.91, No.10, pp. 2313-2330, 2022, DOI:10.32604/phyton.2022.020295

Abstract Forsythiae Fructus, the fruit of Forsythia suspense is a traditional Chinese hebal medicine that has the antiviral and antioxidant effects in China. Modern analytical chemistry studies showed that the extracts of Forsythiae Fructus contain many bioactive components, such as flavonoids, lignans, phenolic acids, and terpenoids, which can be used to anti-inflammatory and treat toxicity, tonsillitis, ulcers, pharyngitis and acute nephritis. In order to study the types and quantities of metabolites in Forsythiae Fructus, we isolated, identified and analysed metabolites between two varieties of Forsythiae Fructus using UPLC/ESI-Q TRAP-MS/MS. The results showed that a total of 407 metabolites were identified in… More >

Simiao Wang^1,#, Xiaohang Li^1,#, Meiting Jiang¹, Xinlong Wu², Yuying Zhao¹, Meiyu Liu¹, Xiaoyan Xu¹, Huimin Wang¹, Hongda Wang¹, Heshui Yu², Wenzhi Yang^1,*

Phyton-International Journal of Experimental Botany, Vol.91, No.7, pp. 1353-1364, 2022, DOI:10.32604/phyton.2022.021093

Abstract Quality control of ginseng currently is mainly based on ginsenoside analysis, but rarely focuses on the volatile organic components. In the current work, an untargeted metabolomics approach, by headspace solid-phase micro-extraction gas chromatography/mass spectrometry (HS-SPME-GC/MS), was elaborated and further employed to holistically compare the compositional difference of the volatile components simultaneously from 12 Panax herbal medicines, which included P. ginseng (PG), P. quinquefolius (PQ), P. notoginseng (PN), red ginseng (PGR), P. ginseng leaf (PGL), P. quinquefolius leaf (PQL), P. notoginseng leaf (PNL), P. ginseng flower (PGF), P. quinquefolius flower (PQF), P. notoginseng flower (PNF), P. japonicus (PJ), and P. japonicus… More >

Reza Shokri-Gharelo¹, Ali Bandehagh^1,*, Mohammad Anwar Hossain^2,*

Phyton-International Journal of Experimental Botany, Vol.91, No.7, pp. 1403-1417, 2022, DOI:10.32604/phyton.2022.020431

Abstract Drought stress is one of the most important abiotic stresses that plants face frequently in nature. Under drought conditions, many morphological, physiological, and molecular aspects of plants are changed and as a result plants experience a remarkable reduction in growth, yield, and reproduction. To expand our understanding of the molecular basis of the plant response to drought stress, the proteomic profile and protein-protein network of canola (Brassica napus L.) were studied. The focus was to show molecular mechanisms related to canola susceptibility to drought stress. The experiment used a completely randomized design, implemented in a hydroponic system under greenhouse conditions.… More >

Xiyue Wang, Zihao Wu, Chao Yan, Chunmei Ma, Shoukun Dong^*

Phyton-International Journal of Experimental Botany, Vol.91, No.7, pp. 1381-1401, 2022, DOI:10.32604/phyton.2022.020251

Abstract Soybeans are one of the most important grain crops worldwide. Water deficit, which seriously affects the yield and quality of soybeans, is the main abiotic stress factor in soybean production. As a follow-up study, the droughttolerant soybean variant Heinong 44 was analyzed via proteome analysis. Soybean was exposed to water deficit for 0, 8, and 24 h, and protein samples were extracted for detection of differentially expressed proteins. Protein sequencing of leaf tissues under water stress yielded a total of 549 differentially expressed proteins: 75 and 320 upregulated proteins as well as 70 and 84 downregulated proteins were obtained after… More >

Mengjiao Chen^1,2, Jinhui Zhai³, Jiajia Zhang^1,4,5,6, Hui Li^1,2, Xinjiang Niu^1,2, Yaxin Liu^1,2, Yue Ren^1,2, Hongyan Du^1,4,5,6, Jingle Zhu^1,4,5,6,*

Phyton-International Journal of Experimental Botany, Vol.91, No.5, pp. 1027-1044, 2022, DOI:10.32604/phyton.2022.019106

Abstract Eucommia ulmoides ‘Hongye’ is a new ornamental variety of E. ulmoides with excellent red or purple foliage. We found that E. ulmoides ‘Hongye’ exhibited a gradual change from green to red colour under light conditions. However, the colouring mechanism in the leaves of E. ulmoides ‘Hongye’ remains unclear. In this study, we compared the pigment content and leaf colour index of E. ulmoides ‘Hongye’ at five stages with those of E. ulmoides ‘Xiaoye’, which was used as the control variety. The transcriptome sequencing data of the first-period (H1, green) and fifth-period (H5, red) leaves were also analysed and compared. The… More >

Ala Saleh Alluhaidan^*

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5949-5962, 2022, DOI:10.32604/cmc.2022.022028

Abstract Analysis of brain disorder in the neuroimaging of Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), and Computed Tomography (CT) needs to understand the functionalities of the brain and it has been performed using traditional methods. Deep learning algorithms have also been applied in genomics data processing. The brain disorder diseases of Alzheimer, Schizophrenia, and Parkinson are analyzed in this work. The main issue in the traditional algorithm is the improper detection of disorders in the neuroimaging data. This paper presents a deep learning algorithm for the classification of brain disorder using Deep Belief Network (DBN) and securely storing the… More >

JIANFEI GAO¹, KANGNING XIONG^2,*, WEIJIE LI¹, WEI ZHOU³

BIOCELL, Vol.46, No.1, pp. 285-296, 2022, DOI:10.32604/biocell.2021.016253

Abstract Kadsura coccinea (Lem.) is a woody wine plant with a peculiar fruit enriched in important health-promoting compounds. The non-editable part of the fruit, i.e., the seed and peel, represents more than 60% of the fruit and is considered a biowaste. This significantly restricts the development of the K. coccinea fruit industry. Clarifying the metabolic components of the different fruit parts can help to improve the utilization rate and valorization of K. coccinea. Herein, we evaluated K. coccinea fruit peel, pulp, and seed using widely-targeted metabolomics and quantified a set of 736 bioactive compounds from 11 major metabolite classes. The most… More >