Fen Liu^1,2, Cheng Qu^1,3,*, Hongliang Yuan³, Xinpeng Xiang³, Yingbo Chen³, Yuxuan Cai³, Yue Wang^4,*

Phyton-International Journal of Experimental Botany, Vol.95, No.3, 2026, DOI:10.32604/phyton.2026.077734 - 31 March 2026

Abstract To explore the physiological mechanism of rice seeds’ tolerance to cold damage stress, the hybrid rice variety H-You 518 and the conventional rice variety Zhongjiazao 17 were used as experimental materials. A low-temperature cold damage treatment (4°C) and a normal germination treatment (25°C) were used to measure seed vitality, antioxidant enzyme activity, soluble sugar content, soluble protein content, α-amylase activity, endopeptidase, and related gene expression levels. The results showed that low temperature inhibited seed vitality and germination ability, and after restoring normal growth conditions, the activities of POD and CAT, as well as the content… More >

Ina Shehaj^1,2,*, Slavomir Krajnak¹, Katrin Almstedt¹, Yaman Degirmenci¹, Roxana Schwab¹, Kathrin Stewen¹, Walburgis Brenner¹, Annette Hasenburg¹, Marcus Schmidt^1,#, Anne-Sophie Heimes^1,#

Oncology Research, Vol.34, No.3, 2026, DOI:10.32604/or.2025.072222 - 24 February 2026

Abstract This article has no abstract. More >

Enrique Oropeza-Maetínez¹, Eva G. Palacios-Serrato¹, Marina Macías-Silva², Angeles C. Tecalco-Cruz^1,*

European Cytokine Network, Vol.36, No.3, pp. 38-51, 2025, DOI:10.1684/ecn.2025.0503 - 28 February 2026

Abstract Background: Glioblastoma is a lethal primary brain tumor that is therapeutically challenging due to its rapid progression. Interferon-gamma (IFN-γ) signaling is altered in glioblastoma. Moreover, proteolytic enzymes, known as proteases, have been linked to the invasive growth of cancerous cells. In this study, we aimed to identify a glioblastoma-associated protease group and to determine its potential connection with IFN-γ signaling. Methods: Using cancer expression databases, we analyzed the differential expression of 35 proteases in glioblastoma and healthy brain tissue, and the relevance of their deregulation to patient survival. We also explored correlations between IFN-γ signaling… More >

Qunlu Liu^1,#, Fiza Liaquat^1,2,#, Qiqi Tang¹, Jun Yang^3,4, Shuai Qiu⁵, Amber Malik², Kang Ye^3,4, Kai Gao⁵, Jun Qin^3,4,*

Phyton-International Journal of Experimental Botany, Vol.94, No.11, pp. 3539-3562, 2025, DOI:10.32604/phyton.2025.071989 - 01 December 2025

Abstract Hydrangea macrophylla is a popular ornamental shrub with a lot of economic and aesthetic value. It is known for its different flower shapes (lacecap and mophead) and the way its flowers change color depending on the pH of the soil. Even though it is important for gardening, we still don’t know much about the molecular processes that lead to flower growth. The purpose of this study was to find and study SNP-related genes and transcription factors that are connected to the growth of H. macrophylla flowers. Genome-wide SNP analysis identified 11 SNPs associated with MYB transcription factors… More >

Rawabi S. Altuwayjiri, Ibtesam S. Almami^*

Oncology Research, Vol.33, No.12, pp. 3923-3943, 2025, DOI:10.32604/or.2025.070104 - 27 November 2025

Abstract Objective: Testicular germ cell tumors (TGCTs) represent the most common malignancy among young men aged 20–40 years. Transglutaminase 7 (TG7), encoded by TGM7, is a poorly characterized enzyme whose function in TGCT remains unknown. This study aimed to assess TG7 expression in clinical specimens and investigate its functional role in a testicular germ cell tumor cell line (NT2/D1). Methods: TG7 protein expression was evaluated in clinical testicular tissue samples via immunohistochemistry (IHC) and immunofluorescence (IF). Functional analysis was conducted in the NT2/D1 human testicular cancer cell line using Dicer-substrate small interfering RNAs (DsiRNAs) targeting TG7. Gene… More >

Abdil Hakan Eren^*

Phyton-International Journal of Experimental Botany, Vol.94, No.10, pp. 3085-3107, 2025, DOI:10.32604/phyton.2025.069506 - 29 October 2025

Abstract The FAR1-related sequence (FAR1) gene family consists of transcription factors that originated from transposases and is crucial for light signaling and stress adaptation in plants. Despite the recognized importance of FAR1 genes in model organisms, their genomic architecture, structural variability, and expression patterns in Phaseolus vulgaris have yet to be investigated. This study offers the inaugural comprehensive genome-wide identification and characterization of the FAR1 gene family in P. vulgaris. A total of 27 PvulFAR1 genes were identified, and their chromosomal distribution, gene structures, conserved domains, and phylogenetic relationships were analyzed systematically. The promoter regions of these genes were discovered… More >

Amber Hassan¹, Badr Hafiz², Taghreed Alsinani³, Rakan Bokhari⁴, Dahlia Mirdad⁵, Awab Tayyib⁵, Alaa Alkhotani⁶, Ahmad Fallata⁷, Iman Mirza⁸, Eyad Faizo^9,10, Saleh Baeesa², Huda Alghefari¹¹, Maher Kurdi^11,*

Oncology Research, Vol.33, No.11, pp. 3293-3325, 2025, DOI:10.32604/or.2025.070031 - 22 October 2025

Abstract Background: Glioblastoma (GBM) remains the most aggressive primary brain tumour in adults, marked by pronounced cellular heterogeneity, diffuse infiltration, and resistance to conventional treatment. In recent years, transcriptomic profiling has provided valuable insights into the molecular mechanisms that govern the progression of glioblastoma. This systematic review aims to synthesise the current literature on dysregulated gene expression in GBM, focusing on gene signatures associated with stemness, immune modulation, extracellular matrix remodelling, metabolic adaptation, and therapeutic resistance. Methods: We conducted a systematic search of PubMed, The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA), and the GlioVis… More >

Sae Hee Cheon¹, Sung-Whan Kim^2,3,*

BIOCELL, Vol.49, No.9, pp. 1697-1710, 2025, DOI:10.32604/biocell.2025.068743 - 25 September 2025

Abstract Objectives: Despite the considerable regenerative capacity exhibited by adipose-derived mesenchymal stem cells (ASCs), their genetic and molecular mechanisms remain incompletely understood. Methods: In this study, we analyzed the global gene expression profile of adipose-derived mesenchymal stem cells (ASCs) using microarray analysis and compared it with stromal vascular fraction (SVF) cells. Results: Microarray analysis revealed that ASCs express elevated levels of genes related to the extracellular matrix (ECM; extracellular matrix) and collagen, which are critical components of tissue remodeling and wound healing. Additionally, genes associated with cell growth, differentiation, motility, and plasticity were highly expressed. When compared… More >

JONG-HYUK AHN¹, JIN WOOK YI^2,3,*

Oncology Research, Vol.33, No.8, pp. 1909-1931, 2025, DOI:10.32604/or.2025.065847 - 18 July 2025

Abstract Background: With growing interest in space exploration, understanding microgravity’s impact on human health is essential. This study aims to investigate gene expression changes and migration and invasion potential in five thyroid-related cell lines cultured under simulated microgravity. Methods: Five thyroid-related cell lines—normal thyrocytes (Nthy-ori 3-1), papillary thyroid cancer (PTC) cells (SNU-790, TPC-1), poorly differentiated thyroid cancer cell (BCPAP), and anaplastic thyroid cancer cell (SNU-80)—were cultured under simulated microgravity (10⁻³ g) using a clinostat. Differentially expressed genes (DEGs) were analyzed using cDNA microarray, followed by functional annotation and assessment of aggressiveness via Transwell migration and invasion assays.… More >

Siti Ramadhani^1,2, Lestari Handayani², Theam Foo Ng³, Sumayyah Dzulkifly¹, Roziana Ariffin^4,5, Haldi Budiman⁶, Shir Li Wang^1,7,*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 2711-2765, 2025, DOI:10.32604/cmes.2025.062709 - 30 June 2025

Abstract In recent years, feature selection (FS) optimization of high-dimensional gene expression data has become one of the most promising approaches for cancer prediction and classification. This work reviews FS and classification methods that utilize evolutionary algorithms (EAs) for gene expression profiles in cancer or medical applications based on research motivations, challenges, and recommendations. Relevant studies were retrieved from four major academic databases–IEEE, Scopus, Springer, and ScienceDirect–using the keywords ‘cancer classification’, ‘optimization’, ‘FS’, and ‘gene expression profile’. A total of 67 papers were finally selected with key advancements identified as follows: (1) The majority of papers… More > Graphic Abstract