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  • Open Access

    ARTICLE

    Genome-Wide Identification and Expression Analysis of Calmodulin-Like Proteins in Tobacco

    Mengjie Xu, Anbin Wang, Tonghong Zuo, Hecui Zhang, Zhihao Hu, Liquan Zhu*

    Phyton-International Journal of Experimental Botany, Vol.94, No.1, pp. 157-179, 2025, DOI:10.32604/phyton.2025.060566 - 24 January 2025

    Abstract Calmodulin-like (CMLs) proteins are critical in calcium signaling and essential for plant growth, development, and stress responses. In many species, the CMLs families have been identified and described. However, the characterization and expression profiling of CMLs genes in tobacco is retrievable. In this study, a comprehensive whole-genome identification and analysis, and 75 NtCML genes were identified in tobacco, each containing two to four EF-hand domains. Most NtCML proteins exhibited conserved gene structures and motifs. Notably, most NtCML proteins were intron-less and distributed across 18 chromosomes. Two pairs of tandemly duplicated genes and seven pairs of segmentally More >

  • Open Access

    ARTICLE

    Analyzing the Cytotoxic and Genetic Impact of Datura stramonium Extract on MCF7 and HT29 Cancer Cells: A Metabolite and Gene Expression Study

    Fayez Althobaiti1, Hadeer Darwish1,*, Raghad Alruqayb1, Saqer S. Alotaibi1, Fahad E. Alharthi2, Ibrahim Jafri1, Sarah Awwadh Altalhi1, Ghadi Alsharif3,4, Hussam Awwadh E Althagafi5, Hesham Noureldeen6, Sarah Alharthi7, Jawaher Albaqami2, Najla Amin T. Al Kashgry2, Ahmed Noureldeen2

    Phyton-International Journal of Experimental Botany, Vol.94, No.1, pp. 181-198, 2025, DOI:10.32604/phyton.2025.059387 - 24 January 2025

    Abstract The interest in using the Datura stramonium plant is due to its natural products, which are used in many pharmaceutical industries. The objective of the current study was to assess the therapeutic and cytotoxic effects of the D. stramonium plant on two types of human cancer cell models (MCF7 and HT29) in vitro. A soxhlet apparatus was used to obtain methanolic extract from dried plant leaves. The recovered crude, after the solvent had evaporated, was then dispersed at varied concentrations of extract 100, 50, 20, and 0.0 µg/mL and tested to see how the cells responded. Also,… More >

  • Open Access

    ARTICLE

    Impact of Seed Halopriming on Germination, Morphological Traits, and Cry1Ac Gene Expression in Bt Cotton (Gossypium hirsutum)

    Wenqi Shi1,#, Binyameen Bin Shafqat2,#, Muhammad Arif1, Ayesha Fazal Nawaz3, Muhammad Amir Zia4, Xu Ling1, Dingli Hong1, Ruhong Xu1,*, Luhua Li1,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.1, pp. 229-241, 2025, DOI:10.32604/phyton.2025.059315 - 24 January 2025

    Abstract Seed priming is an effective seed pretreatment technology that enhances germination and overall crop performance by optimizing seed hydration and metabolic processes before planting. Seed quality is a critical determinant of cotton (Gossypium hirsutum) crop performance, influencing germination, plant vigor, and yield. This study evaluates the effects of seed priming with potassium salts (1% and 2% KCl and K2SO4) on germination, morphological traits, and Cry1Ac gene expression in three Bt cotton cultivars (IUB-2013, NIAB-878B, FH-142) as Cry1Ac enhance the pest resistance in Bt cotton and reduce the plant’s dependence on chemical insecticides. Seeds were primed for six hours, air-dried,… More >

  • Open Access

    ARTICLE

    IDSSCNN-XgBoost: Improved Dual-Stream Shallow Convolutional Neural Network Based on Extreme Gradient Boosting Algorithm for Micro Expression Recognition

    Adnan Ahmad, Zhao Li*, Irfan Tariq, Zhengran He

    CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 729-749, 2025, DOI:10.32604/cmc.2024.055768 - 03 January 2025

    Abstract Micro-expressions (ME) recognition is a complex task that requires advanced techniques to extract informative features from facial expressions. Numerous deep neural networks (DNNs) with convolutional structures have been proposed. However, unlike DNNs, shallow convolutional neural networks often outperform deeper models in mitigating overfitting, particularly with small datasets. Still, many of these methods rely on a single feature for recognition, resulting in an insufficient ability to extract highly effective features. To address this limitation, in this paper, an Improved Dual-stream Shallow Convolutional Neural Network based on an Extreme Gradient Boosting Algorithm (IDSSCNN-XgBoost) is introduced for ME… More >

  • Open Access

    ARTICLE

    Genetic signatures of ERCC1 and ERCC2 expression, along with SNPs variants, unveil favorable prognosis in SCLC patients undergoing platinum-based chemotherapy

    ENRICO CALIMAN1,2, SARA FANCELLI1,2, FEDERICO SCOLARI3, ADRIANO PASQUI4, CLARA MANNESCHI4, DANIELE LAVACCHI1, FRANCESCA MAZZONI4, FRANCESCA GENSINI5, VALERIA PASINI6, CAMILLA EVA COMIN2,7, LUCA VOLTOLINI2,8, SERENA PILLOZZI1,2,*, LORENZO ANTONUZZO1,2,4

    Oncology Research, Vol.33, No.1, pp. 45-55, 2025, DOI:10.32604/or.2024.050161 - 20 December 2024

    Abstract Background: Platinum chemotherapy (CT) remains the backbone of systemic therapy for patients with small-cell lung cancer (SCLC). The nucleotide excision repair (NER) pathway plays a central role in the repair of the DNA damage exerted by platinum agents. Alteration in this repair mechanism may affect patients’ survival. Materials and Methods: We conducted a retrospective analysis of data from 38 patients with extensive disease (ED)-SCLC who underwent platinum-CT at the Clinical Oncology Unit, Careggi University Hospital, Florence (Italy), from 2015 to 2020. mRNA expression analysis and single nucleotide polymorphism (SNP) characterization of three NER pathway genes—namely ERCC1, ERCC2,… More >

  • Open Access

    ARTICLE

    Genome-Wide Identification and Expression Pattern Analysis of LONELY GUY Gene Family in Walnut (Juglans regia)

    Yuan Wang1, Tianle Zhang1, Xinfeng Zeng1, Jiale Liu1, Siyu Li1, Siyu Yang1, Shengnan Zhao1, Abdullah Shah2, Muhammad Saif Ullah2, Guohui Qi1,*, Peng Jia1,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.12, pp. 3331-3346, 2024, DOI:10.32604/phyton.2024.059402 - 31 December 2024

    Abstract LONELY GUY (LOG) is a pivotal cytokinin-activating enzyme that plays an important role in plant growth, development, and stress responses. Walnut (Juglans regia), an important woody oilseed species, has not yet undergone systematic identification of its LOG gene family. In this study, we identified 17 JrLOG genes in the walnut genome, which are unevenly distributed across 11 chromosomes. JrLOG gene expansion was primarily driven by gene duplication, along with purifying selection. Members of the JrLOG family were categorized into five groups, each exhibiting analogous gene structures, featured motifs, and conserved domains. Transcriptome and quantitative real-time PCR analyses More >

  • Open Access

    ARTICLE

    Construction of a Yeast Hybrid Library and Identification of Proteins Regulating CaABI3/VP1-1 Expression in Capsicum annuum var. conoides

    Huiru Deng#, Huan Tian#, Liuyan Yang, Siyang Ou, Hui Wang, Guangdong Geng*, Suqin Zhang*

    Phyton-International Journal of Experimental Botany, Vol.93, No.12, pp. 3273-3291, 2024, DOI:10.32604/phyton.2024.058638 - 31 December 2024

    Abstract Hot pepper (Capsicum annuum var. conoides) is a significant vegetable that is widely cultivated around the world. Currently, global climate change has caused frequent severe weather events, and waterlogging stress harms the pepper industry by affecting the planting period, growth conditions, and disease susceptibility. The gene CaABI3/VP1-1 could improve pepper waterlogging tolerance. In order to explore the upstream regulatory mechanism of CaABI3/VP1-1, a high-quality standardized yeast hybrid library was successfully constructed for yeast one-, two-, and three-hybrid screening using pepper ‘ZHC2’ as the experimental material, with a library recombinant efficiency of up to 100%. The length of inserted… More >

  • Open Access

    ARTICLE

    A Deep Learning-Based Automated Approach of Schizophrenia Detection from Facial Micro-Expressions

    Anum Saher1, Ghulam Gilanie1,*, Sana Cheema1, Akkasha Latif1, Syeda Naila Batool1, Hafeez Ullah2

    Intelligent Automation & Soft Computing, Vol.39, No.6, pp. 1053-1071, 2024, DOI:10.32604/iasc.2024.057047 - 30 December 2024

    Abstract Schizophrenia is a severe mental illness responsible for many of the world’s disabilities. It significantly impacts human society; thus, rapid, and efficient identification is required. This research aims to diagnose schizophrenia directly from a high-resolution camera, which can capture the subtle micro facial expressions that are difficult to spot with the help of the naked eye. In a clinical study by a team of experts at Bahawal Victoria Hospital (BVH), Bahawalpur, Pakistan, there were 300 people with schizophrenia and 299 healthy subjects. Videos of these participants have been captured and converted into their frames using… More >

  • Open Access

    PROCEEDINGS

    Analysis of High-Order Partial Differential Equations by Using the Generalized Finite Difference Method

    Tsung-Han Li1,*, Chia-Ming Fan1, Po-Wei Li2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012120

    Abstract The generalized finite difference method (GFDM), which cooperated with the fictitious-nodes technique, is proposed in this study to accurately analyze three-dimensional boundary value problems, governed by high-order partial differential equations. Some physical applications can be mathematically described by boundary value problems governed by high-order partial differential equations, but it is non-trivial to analyze the high-order partial differential equations by adopting conventional mesh-based numerical schemes, such as finite difference method, the finite element method, etc. In this study, the GFDM, a localized meshless method, is proposed to accurately and efficiently solve boundary value problems governed by… More >

  • Open Access

    ARTICLE

    Genome-Wide Identification of ALDH Gene Family under Salt and Drought Stress in Phaseolus vulgaris

    Abdil Hakan Eren*

    Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2883-2907, 2024, DOI:10.32604/phyton.2024.058627 - 30 November 2024

    Abstract Background: Aldehyde dehydrogenase (ALDH) genes constitute an important family of supergenes that play key roles in synthesizing various biomolecules and maintaining cellular homeostasis by catalyzing the oxidation of aldehyde products. With climate change increasing the exposure of plants to abiotic stresses such as salt and drought, ALDH genes have been identified as important contributors to stress tolerance. In particular, they help to reduce stress-induced lipid peroxidation. Objectives: This study aims to identify and characterize members of the ALDH supergene family in Phaseolus vulgaris through a genome-wide bioinformatic analysis and investigate their role in response to abiotic stressors such… More >

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