Ask about this productRelated genes to: FGF13 Blocking Peptide
- Gene:
- FGF13 NIH gene
- Name:
- fibroblast growth factor 13
- Previous symbol:
- -
- Synonyms:
- FHF2, FGF2
- Chromosome:
- Xq26.3-q27.1
- Locus Type:
- gene with protein product
- Date approved:
- 1996-12-16
- Date modifiied:
- 2018-02-13
Related products to: FGF13 Blocking Peptide
Related articles to: FGF13 Blocking Peptide
- Indigenous chickens in Eritrea are raised mainly in low-input village systems and show marked variation in body size, including reduced body size phenotype, a trait associated with reduced feed consumption, thermotolerance, disease resistance, and adaptability to resource-limited environments. This study aimed to identify genomic regions associated with reduced body size using a genome-wide association study (GWAS) in Eritrean chicken ecotypes. Blood samples from 384 ICs across 16 ecotypes (21 to 24 birds per ecotype) were genotyped using DArTseq technology. Three putative short-bodied ecotypes, Barentu (BAR), Foro (FORO), and Gogne (GOG), were compared with five heavier control ecotypes: Fshe-Mrara (FM), Adi-Tekeliezan (ADTEK), Emni-Haili (HAYL), Dekemhare (DEKE), and Adikeyh (KEIH). After filtering for individual missingness, marker call rate, and minor allele frequency, 141 birds and 42,356 SNP remained. Population structure was evaluated by principal component analysis and ADMIXTURE. Exploratory case-control GWAS were conducted for each putative reduced-body-size ecotype and for the 3 ecotypes combined. Complementary quantitative-trait GWAS used body weight, body length, back length, and shank length was carried out. Linear mixed models implemented in GEMMA included sex as a fixed effect and genomic kinship as a random effect. The first 2 principal components showed extensive ancestry sharing, although GOG was more differentiated. Ecotype-specific analyses identified significant regions near CDK6, BDNF, FOXP1, TNS3, and LGR4 in FORO; EIF2AK2, NANP, MDH1, UGP2 and FGF13 in GOG; and HMGA2, IGF2, BRSK1 and SUCNR1 in BAR. The combined analysis showed no genome-wide significant variants but revealed suggestive signals near ASAP1, EIF2AK2, and FOXP1, indicating a polygenic and ecotype-specific architecture. Overlapping candidate genes across analyses included TH (common to all) and EIF2AK2 (present in all ecotypes except FORO). Quantitative-trait analyses detected a single significant SNP within CACNB4 for back length, but none for the other traits. Overall, reduced body size in Eritrean IC appears to be a complex trait controlled by multiple loci, involving both conserved growth regulators and genes related to metabolic efficiency and environmental adaptation. These findings provide a genomic basis for future breeding strategies to improve productivity, resilience and sustainability of village poultry production systems in resource-limited regions of Eritrea. - Source: PubMed
Publication date: 2026/07/27
Habteslasie Hortuma APerini FrancescoNgeno KiplangatColombi DanieleLasagna EmilianoDessie TadelleKahi Alexander - The aim of this study was to detect genomic regions and genes associated with gastrointestinal nematodes (GIN) resistance in Pelibuey sheep, based in deworming necessity (NOD) estimated by fecal egg count (FEC). During a ten-months period, deworming criterion was based on GIN eggs per gram (EPG), then animals exceeding 1000 EPG were dewormed, and individuals were classified as cases (dewormed at least once) or controls (non-deworming at all). Animals were genotyped with the GGP Ovine50k genome profiler microarray. Quality control of dataset and case-control GWAS were carried to identify associated candidate genes and quantitative trait loci (QTL). Two genome-wide strongly associated SNPs were detected on chromosomes 2 and 3, located near FEC associated QTLs and immune-related genes: GALNT6, KLRK1, KLRD1, CLEC1B, FGF13, TMEM52B, OLR1, and CLEC7A. The identified genes are involved in key defense mechanisms such as mucus synthesis, immune signaling, and natural-killer cell activation, supporting their relevance as candidate genes for GIN-resistance selection in Pelibuey hair-sheep. - Source: PubMed
Publication date: 2026/07/04
Esparza-Acebo Leilany MargaritaOjeda-Robertos Nadia FlorenciaDe La Rosa-Reyna Xochitl FabiolaParra-Bracamonte Gaspar Manuel - Voltage-gated sodium (Nav) channels are key determinants of neuronal excitability, shaping action potential waveforms, repetitive firing patterns and responses to synaptic inputs, as well as controlling the output of neural circuits and influencing short- and long-term plasticity and homoeostasis. The firing and response properties of mammalian central neurons are highly variable, reflecting differences in the Nav (and other) channels expressed and the synaptic connectivity of the circuits in which the cells participate. Transient (I), persistent (I) and resurgent (I) Nav current components have been distinguished, and considerable progress has been made in defining their roles in regulating the firing properties of central neurons and the mechanisms underlying their generation. In addition, it is well established that native neuronal Nav channels function in macromolecular complexes, comprising a pore-forming α subunit assembled with multiple accessory/auxiliary proteins that influence channel expression, localization and biophysical properties. In mature central neurons, the Nav1.1, Nav1.2 and Nav1.6 α subunits are differentially expressed, together with one or more of the Nav beta (Navβ1-4), intracellular fibroblast growth factor (iFGF11-14), ankyrin (Ankyrin-B, -G, -R) and other auxiliary proteins, generating Nav channels with diverse cell-type- and circuit-specific expression patterns, subcellular distributions, gating properties, and physiological roles. Variants in the genes encoding these Nav α subunits (SCN1A, SCN2A, SCN8A), as well as Navβ1 (SCN1B), iFGFs (FGF12, FGF13, FGF14), ankyrins (ANK1, ANK2, ANK3), and other Nav channel auxiliary and interacting proteins, have been linked to several congenital neurological disorders, including epilepsy and ataxia, as well as to neurodevelopmental, neurodegenerative and psychiatric diseases. - Source: PubMed
Publication date: 2026/08/05
Ransdell Joseph LNerbonne Jeanne M - Depression is a highly recurrent psychiatric disorder characterized by persistent low mood, anhedonia, and sleep disturbances. The clinical diagnosis of depression currently relies primarily on clinical interviews and standardized assessment scales, lacking objective biological markers. This increases the risk of misdiagnosis and missed diagnosis, while also limiting the precise differentiation of disease subtypes and the individualized prediction of treatment response. Identifying reliable biomarkers has therefore become a major research focus. This study, based on bioinformatics analysis of the GEO database, found that fibroblast growth factor 13 (FGF13) was significantly reduced in the serum of patients with major depressive disorder (MDD). FGF13 belongs to the fibroblast homologous factor (FHF) family and is enriched in neurons of the brain, where it regulates neuronal excitability and synaptic plasticity. However, the role of FGF13 in depression remains unclear. Based on the results of the bioinformatics analysis, experimental validation demonstrated that Fgf13 expression was significantly reduced in corticosterone (CORT)-induced PC12 and SH-SY5Y cells, as well as in the hippocampus of chronic unpredictable mild stress (CUMS) rats, as shown by qRT-PCR and Western blot analyses. Functional experiments demonstrated that FGF13 overexpression enhanced the expression of synaptic plasticity-related proteins (Syn, PSD95, BDNF) and anti-apoptotic protein (Bcl-2), while suppressing pro-apoptotic proteins (Bax, Cleaved-caspase-3) and activating the PI3K/AKT pathway. These effects were markedly reversed by treatment with the PI3K inhibitor LY294002. Furthermore, FGF13 overexpression improved neuronal apoptosis and morphological damage in the hippocampus of CUMS rats. Serum ELISA analysis revealed significantly reduced FGF13 levels in patients with depression. Logistic regression analysis showed a negative association between FGF13 expression and depression risk, while ROC analysis demonstrated good diagnostic performance (AUC = 0.936). Collectively, these findings suggest that FGF13 participates in the pathogenesis of depression by regulating synaptic plasticity and neuronal apoptosis and may serve as a promising biomarker and potential therapeutic target. - Source: PubMed
Publication date: 2026/07/31
Hu HaitaoLu JuanDu XinGe PengFu MengxuPan TongshuaiYuan LiliZhang YuanxiangWu YigaoTong Jiucui - BackgroundOvarian cancer remains one of the most lethal gynecological malignancies, largely due to delayed diagnosis and limited effectiveness of current biomarkers. Identifying candidate biomarkers through integrated gene expression analysis may enhance understanding of OC biology and support future diagnostic and prognostic investigations.MethodsFour microarray datasets were retrieved from the Gene Expression Omnibus and analyzed using the limma package in R to identify differentially expressed genes (DEGs) through a bidirectional filter (|logFC| ≥ 1.2). Overlapping DEGs across all four datasets were subjected to Gene Ontology and KEGG pathway enrichment analyses. Protein-protein interaction networks were constructed using the STRING database, and hub genes were identified by consensus across three centrality algorithms in Cytoscape. Prognostic significance was evaluated using Kaplan-Meier survival analysis via GEPIA2; diagnostic performance was assessed using Youden Index-based ROC analysis; and external validation was performed using an independent dataset.ResultsA total of 209 overlapping DEGs were identified, yielding 35 hub genes. Functional enrichment analysis implicated cell cycle dysregulation, metabolic reprogramming, and extracellular matrix remodeling as central biological processes. TRIP13, FGF13, and LYVE1 were significantly associated with overall survival, while ALDH1A1, GATA6, and WNT5A were associated with disease-free survival. KDR demonstrated the highest diagnostic accuracy, and external validation confirmed the generalizability of the diagnostic findings.ConclusionThis study identifies a panel of candidate diagnostic and prognostic biomarkers in ovarian cancer, providing a molecular framework for future experimental validation and translational investigation. - Source: PubMed
Publication date: 2026/07/14
Woode MichaelAppah Mark AkuamoahAlhassan Emmanuel KpalakusoMakwo TimothyAsante Du-BoisAgyirifo Daniel Sakyi