Zhaoli Chen, Ying Liu^*, Bingshan Zeng, Qingbin Jiang, Shengkun Wang, Xiangyang Li

Phyton-International Journal of Experimental Botany, Vol.92, No.10, pp. 2891-2906, 2023, DOI:10.32604/phyton.2023.030664

Abstract Michelia macclurei Dandy is a significant tree species that has extensive cultivation for forestry and horticulture purposes in southern China, owing to its economic and practical importance. Light quality influences plantlet growth and development during tissue culture. However, the growth characteristic and molecular regulation of M. macclurei under different light quality conditions are not well understood yet. In this study, we investigated the morphological, chlorophyll content, and transcriptomic responses of M. macclurei plantlets under different light-emitting diode (LED) qualities, including white, blue, and red light. The results showed that blue light significantly increased plant height (21.29%) and leaf number (18.65%),… More >

WEI ZHAI^1,2, XIANG ZHENG², MENGYUAN LIU², QIURONG ZHAO², YUSHU ZHANG², YUQING LUO³, SHANSHAN FENG³, JINJING WANG³, XUEYING LI^2,*, MINGSONG WU^1,*

BIOCELL, Vol.47, No.8, pp. 1821-1833, 2023, DOI:10.32604/biocell.2023.027175

Abstract Objective: Endoplasmic reticulum-Golgi intermediate compartment 3 (ERGIC3) promotes cell proliferation and metastasis in lung cancer, but its molecular mechanism is unclear. Methods: The GLC-82 cells were randomly divided into the ERGIC3i group and the negative control group. The cells were transfected with ERGIC3 siRNA or control siRNA in the groups, respectively. The ERGIC3-interacting proteins expressed in cells or extracellularly were isolated by the immunoprecipitation method and detected by isobaric tags for relative and absolute quantitation and liquid chromatography-tandem mass spectrometry. The differentially expressed proteins were determined by bioinformatic methods. Results: After ERGIC3 knockdown, 88 extracellular differentially expressed proteins, 41 up-regulated… More >

QIAN CHEN^1,#, XIN LEI^1,#, GUANHUA HU^1,#, YAN WANG², ZHENGQING FANG¹, GUOQUAN WANG¹, HANG SONG¹, SHU YE^1,*, BIAO CAI^1,*

BIOCELL, Vol.47, No.6, pp. 1265-1277, 2023, DOI:10.32604/biocell.2023.028811

Abstract Background: Huang-Pu-Tong-Qiao formula (HPTQ), a traditional Chinese herbal formula, has a variety of pharmacological effects. It has been used to treat Alzheimer’s disease (AD) for decades. This study aimed to screen differentially expressed proteins in the hippocampus of AD model rats treated with HPTQ. Proteomic studies of the effects of HPTQ on AD are key to understanding the therapeutic mechanisms of HPTQ and identifying potential therapeutic targets. Methods: We hence used the isobaric tags for relative and absolute quantification (ITRAQ) approach to investigate the differentially expressed proteins in the hippocampus of AD model rats before and after HPTQ administration and… More >

Xue Lei^1,#, Yong Zhao^2,#, Rui Luo¹, Mingda Yin¹, Yanpeng Wen¹, Zhiyan Wang¹, Xuemei Hu¹, Fenglan Huang^1,3,4,5,*

Phyton-International Journal of Experimental Botany, Vol.92, No.5, pp. 1621-1632, 2023, DOI:10.32604/phyton.2023.027046

Abstract Castor (Ricinus communis L.) is one of ten oil crops in the world and has complex inflorescence styles. Generally, castor has three inflorescence types: single female inflorescence (SiFF), standard female inflorescence (StFF) and bisexual inflorescence (BF). StFF is realized as a restorer line and as a maintainer line, which was applied to castor hybrid breeding. However, the developmental mechanism of the three inflorescences is not clear. Therefore, we used proteomic techniques to analyze different inflorescence styles. A total of 72 diferentially abundant protein species (DAPs) were detected. These DAPs are primarily involved in carbon and energy metabolism and carbon fixation… More >

Junwei Cui¹, Minghua Li², Ruifang Pang^2,*, Yinhua Liu^1,*

Oncologie, Vol.24, No.4, pp. 743-768, 2022, DOI:10.32604/oncologie.2022.025419

Abstract Background: Aspirin (ASA) has been reported to have an antitumor effect but the role of ASA in the prevention and treatment of breast cancer (BC) is still controversial. This study aimed to identify clinical effectiveness of ASA in the treatment of BC and explore the antitumor target proteins of ASA that may be involved in overcoming tamoxifen resistance in estrogen receptor (ER)-positive BC cells. Materials and Methods: Randomized controlled trials (RCTs) of ASA in the treatment of BC were queried from the databases, including PubMed, Web of Science, Cochrane Library, WanFang, and Chinese National Knowledge Infrastructure. According to the quality… More >

Ahmed Zohair Ibrahim^1,*, P. Prakash², V. Sakthivel², P. Prabu³

Computer Systems Science and Engineering, Vol.45, No.3, pp. 2447-2460, 2023, DOI:10.32604/csse.2023.030134

Abstract In order to research brain problems using MRI, PET, and CT neuroimaging, a correct understanding of brainfunction is required. This has been considered in earlier times with the support of traditional algorithms. Deep learning process has also been widely considered in these genomics data processing system. In this research, brain disorder illness incliding Alzheimer’s disease, Schizophrenia and Parkinson’s diseaseis is analyzed owing to misdetection of disorders in neuroimaging data examined by means fo traditional methods. Moeover, deep learning approach is incorporated here for classification purpose of brain disorder with the aid of Deep Belief Networks (DBN). Images are stored in… More >

GUODONG XIAO^1,#, FENG CHENG^1,#, JING YUAN¹, WEIPING LU¹, PEILI WANG², HUIJIE FAN^1,*

Oncology Research, Vol.30, No.1, pp. 35-51, 2022, DOI:10.32604/or.2022.026616

Abstract Distant metastasis is a major cause of increased mortality in breast cancer patients, but the mechanisms underlying breast cancer metastasis remain poorly understood. In this study, we aimed to identify a metastasis-related gene (MRG) signature for predicting progression in breast cancer. By screening using three regression analysis methods, a 9-gene signature (NOTCH1, PTP4A3, MMP13, MACC1, EZR, NEDD9, PIK3CA, F2RL1 and CCR7) was constructed based on an MRG set in the BRCA cohort from TCGA. This signature exhibited strong robustness, and its generalizability was verified in the Metabric and GEO cohorts. Of the nine MRGs, EZR is an oncogenic gene with… More >

Liang Chai^1,2, Cheng Cui¹, Benchuan Zheng¹, Jinfang Zhang¹, Jun Jiang¹, Haojie Li^1,2,*, Liangcai Jiang^1,*

Phyton-International Journal of Experimental Botany, Vol.92, No.3, pp. 645-663, 2023, DOI:10.32604/phyton.2023.024717

Abstract Nitrogen (N) is one of the basic nutrients and signals for plant development and deficiency of it would always limit the productions of crops in the field. Quantitative research on expression of N-stress responsive proteins on a proteome level remains elusive. In order to gain a deep insight into the proteins responding to nitrogen stress in rapeseed (Brassica napus L.), comparative proteomic analysis was performed to investigate changes of protein expression profiles from the root, stem and leaf under different N concentrations, respectively. More than 200 differential abundance proteins (DAPs) were detected and categorized into groups according to annotations, including… More >

Muhammad Hamraz¹, Dost Muhammad Khan¹, Naz Gul¹, Amjad Ali¹, Zardad Khan¹, Shafiq Ahmad², Mejdal Alqahtani², Akber Abid Gardezi³, Muhammad Shafiq^4,*

CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3663-3677, 2023, DOI:10.32604/cmc.2023.030064

Abstract The current study proposes a novel technique for feature selection by inculcating robustness in the conventional Signal to noise Ratio (SNR). The proposed method utilizes the robust measures of location i.e., the “Median” as well as the measures of variation i.e., “Median absolute deviation (MAD) and Interquartile range (IQR)” in the SNR. By this way, two independent robust signal-to-noise ratios have been proposed. The proposed method selects the most informative genes/features by combining the minimum subset of genes or features obtained via the greedy search approach with top-ranked genes selected through the robust signal-to-noise ratio (RSNR). The results obtained via… More >

XIN MENG^*, XUE LI, LIANRONG YANG, RUI YIN, LEHUI QI, QI GUO

BIOCELL, Vol.47, No.1, pp. 91-107, 2023, DOI:10.32604/biocell.2023.024310

Abstract In recent years, microbial metabolomics, a new field that has attracted wide attention, provides a map of metabolic pathways and clarifies the interaction mechanism between microorganisms and hosts. Many microorganisms are found in the human intestine, oral cavity, vagina, etc. Probiotics could maintain the good health of the host, while pathogens and an imbalance of bacterial flora lead to a series of diseases of the body and mind. Metabolomics is a science for qualitative and quantitative analysis of all metabolites in an organism or biological system, which could provide key information to understand the related metabolic pathways and associated changes.… More >