Ask about this productRelated genes to: PCDGF antibody
- Gene:
- GRN NIH gene
- Name:
- granulin precursor
- Previous symbol:
- -
- Synonyms:
- PCDGF, PGRN, CLN11
- Chromosome:
- 17q21.31
- Locus Type:
- gene with protein product
- Date approved:
- 1992-11-30
- Date modifiied:
- 2019-04-23
Related products to: PCDGF antibody
Related articles to: PCDGF antibody
- Autism spectrum disorders (ASD) are a group of neurodevelopmental disorders whose underlying molecular mechanisms and biological processes remain incompletely understood. In this study, we used a multi-layered systems biology approach to prioritize candidate genes and regulatory factors associated with ASD. - Source: PubMed
Publication date: 2026/08/24
Hosseinpoor SaraZali HakimehZohrevand HassanMirmotalebisohi Seyed AmirKhodagholi FaribaBazrgar MaryamAsadi SarehAhmadiani Abolhassan - - Source: PubMed
Publication date: 2026/08/24
Sagris MariosTzoumas AndreasFrey NorbertKorosoglou Grigorios - The gene regulatory network (GRN) represents a complex web of genetic interactions that governs cellular functions and responses to environmental stimuli. Understanding these intricate relationships is crucial for advancing developmental biology, disease modeling, and therapeutic discovery. With the growing interest in graph-based approaches, graph neural networks (GNNs) have emerged as a powerful tool for GRN inference, offering the ability to capture high-dimensional dependencies and topological structures within gene networks. This survey presents the first comprehensive review of GNN-based methods for GRN inference, analyzing 16 state-of-the-art approaches. We categorize these methods based on their underlying architectures, inference strategies, and computational frameworks. Additionally, we provide a critical evaluation of their strengths, limitations, and real-world applicability. Unlike prior surveys that focus on either scRNA-seq or deep learning broadly, this work systematically unifies graph architectures, learning paradigms, and data regimes under a common benchmarking framework. By identifying key challenges-such as scalability, interpretability, and dataset limitations-this survey aims to guide both life scientists in selecting appropriate computational models and researchers in developing next-generation GRN inference techniques using graph-based learning. - Source: PubMed
Jamal Alkhateeb NoorAwad Mamoun - Green tea (GT) is widely recognized for its metabolic effects, but the influence of biological sex and housing temperature on its response during diet-induced obesity remains incompletely understood. Male and female C57BL/6 mice were housed at standard temperature (22 °C) or thermoneutrality (28 °C), fed a standard diet (SD) or high-fat diet (HFD), and, after obesity induction, received GT by oral gavage at 500 mg/kg, five days per week, for 12 weeks. Longitudinal mixed-effects modeling and endpoint factorial ANCOVA showed that GT attenuated HFD-associated body weight gain in both sexes and at both housing temperatures. The significant Diet × GT interaction indicated that the effect on final body weight depended primarily on dietary condition, whereas no statistical evidence was found that the overall endpoint response differed according to sex or housing temperature. Plasma proteomic profiling of HFD + GT mice housed at 22 °C identified extensive remodeling in both sexes, with comparable numbers but distinct identities and directions of change among differentially abundant proteins. Candidate proteins were associated with lipid metabolism (APOC2 and ANXA2), inflammatory processes (CD68, CSF1, and SAA4), and neuroimmune-related functions (GRN), revealing distinct sex-dependent molecular patterns. Complementary hypothalamic immunohistochemistry showed that GT attenuated HFD-associated increases in GFAP and IBA1 immunoreactivity. The reduction in astrocytic GFAP immunoreactivity was particularly pronounced in males housed at 22 °C, whereas the decrease in microglial IBA1 immunoreactivity was broadly consistent across the comparisons evaluated. Together, these findings demonstrate that GT attenuates HFD-associated weight gain and hypothalamic glial immunoreactivity while inducing extensive, sex-dependent plasma proteome remodeling. These findings highlight dietary context as a major determinant of the physiological response to GT and identify biological sex and housing temperature as important variables shaping its molecular effects. SIGNIFICANCE: This study shows that green tea attenuates HFD-associated body weight gain and hypothalamic glial immunoreactivity while inducing sex- and temperature-sensitive plasma proteomic responses. By integrating physiological, proteomic, and histological analyses, we identified molecular- and tissue-level changes associated with lipid metabolism, inflammation, and glial reactivity. The findings indicate that dietary status is a major determinant of the physiological response to green tea, whereas sex and housing temperature shape the associated molecular signatures. These results emphasize the importance of experimental context in preclinical nutraceutical research and support further investigation of green tea-derived compounds in obesity-associated metabolic and neuroimmune alterations. - Source: PubMed
Publication date: 2026/08/21
Silva VictoriaSilva Marcus Vinicius AquinoFerreira Allanis ValonSouza-Siqueira TalitaChaves Alison Felipe Alencarde Oliveira Cavalcante Pimentel IsabelaIwai Leo KeiBondan Eduardo FernandesOtton Rosemari - Optimising root system architecture (RSA) is essential for improving maize resilience to drought, salinity, and nutrient stress, yet its regulatory landscape remains fragmented. Here, we integrated gene mining, cross-species orthology, in silico expression profiling, and gene regulatory network (GRN) analysis to identify RSA regulators under abiotic stress. Curated literature and comparative genomics identified 127 non-redundant maize RSA-associated genes (v5; 69 transcription factor (TF)-coding, 58 non-TF) enriched for lateral root formation, adventitious root development, root system development, hormone-mediated signalling, and cytokinin metabolism, indicating representation of RSA-shaping developmental processes. Spatial and stress-specific transcriptomes revealed expression of root-system-modulating genes, that is Zm00001eb091920 (AASR2), Zm00001eb429540 (CCDP), Zm00001eb405590 (NACTF25), Zm00001eb256650 (CCAAT-HAP2), and Zm00001eb121500 (CKO1), preferentially in the root cortex and elongation zone. The GRN comprised 616 unique nodes and 3295 regulatory edges, identifying KN1 (Zm00001eb055920), EREB147 (Zm00001eb150840), and D8 (Zm00001eb054480) as major transcriptional hubs and miR167d-3p as the most connected miRNA, supporting hormone- and auxin-linked RSA plasticity. qRT-PCR analysis confirmed co-expression of Zm00001eb234120 (WRKY48), Zm00001eb212120 (NACTF6), and Zm00001eb386990 (TIPD1) with regulators Zm00001eb051660 (EREB142), D8, and KN1 in drought- and salinity-stressed CML579. Expression modules further suggest that Zm00001eb403030 (RTCL1) and auxin-associated regulators modulate post-embryonic root initiation and branching. The current investigation outlines a stress-responsive maize RSA network and identifies targets for functional validation, genome editing, and breeding climate-resilient cultivars. - Source: PubMed
Keerthi Garudapalya MuniswamyMallikarjuna Mallana GowdraLohithaswa Hirenallur ChandappaKumar M B ArunJha Shailendra KumarMudhale AbhijeetBisht Deepak SinghChinnusamy Viswanathan