Ask about this productRelated genes to: RASGEF1B antibody
- Gene:
- RASGEF1B NIH gene
- Name:
- RasGEF domain family member 1B
- Previous symbol:
- -
- Synonyms:
- GPIG4, FLJ31695
- Chromosome:
- 4q21.21
- Locus Type:
- gene with protein product
- Date approved:
- 2004-02-04
- Date modifiied:
- 2016-10-25
Related products to: RASGEF1B antibody
Related articles to: RASGEF1B antibody
- Metabolic‒epigenetic crosstalk critically orchestrates hepatocellular carcinoma (HCC) pathogenesis. Deciphering the precise mechanism underlying epigenetic remodeling and metabolic reprogramming in HCC may lead to novel treatment paradigms, however, the key mechanisms remain elusive. - Source: PubMed
Publication date: 2026/02/25
Guo ZeyiTan KunjiangLi ZhongzheRen YaguangDai YizheJin MeixianFu YuHu YukaiGuo JinhaoZhang MinLiu ChengboFu ShunjunShen Feng - The Yucatán Black Hairless Pig (YBHP) is an indigenous Mexican breed shaped by tropical environments and traditional management systems. This study aimed to characterize its runs of homozygosity (ROH) and compare its ROH patterns with those of indigenous and commercial pig breeds worldwide using the GGP Porcine 50K SNP array. After applying standard quality-control filters, ROH were identified, classified by length, and evaluated for shared homozygous regions across populations. The YBHP showed intermediate levels of genomic homozygosity (FROH = 0.09), with most ROH segments falling within the 5-20 Mb range. Comparative analyses indicated that the YBHP shared a higher number of ROH segments with indigenous populations than with cosmopolitan breeds. Gene annotation within ROH regions revealed SNPs located in genes previously reported in indigenous populations, including FGF5, BMP2K, PAQR3, RASGEF1B and ANTXR2, which participate in developmental and regulatory biological pathways. Overall, these results provide a detailed description of ROH distribution in the YBHP and offer complementary information to previous studies on its genetic characterization, supporting future conservation and management strategies. - Source: PubMed
Publication date: 2026/01/07
Lara-Castillo Jorge BarzilaiLemus-Flores ClementeSansor-Nah RaúlMichel-Regalado Néstor GerardoGrageola-Núñez FernandoBurgos-Paz William OrlandoBugarín-Prado Job Oswaldo - Tumor associated macrophages (TAMs) in Head and neck squamous cell carcinoma (HNSCC), particularly M2-polarized subtypes, are pivotal drivers of tumorigenesis, angiogenesis, and metastasis, contributing to adverse clinical outcomes. Current prognostic markers lack precision, underscoring the need for novel biomarkers and risk stratification models. Single-cell RNA sequencing (scRNA-seq) was applied to profile the transcriptional landscape of TAMs in HNSCC at single-cell resolution. 1,208 M2 TAMs were integrated from scRNA-seq data with bulk RNA sequencing to identify molecular signatures. Weighted correlation network analysis (WGCNA) and Uniform Manifold Approximation and Projection (UMAP) analysis were applied to dissect TAMs heterogeneity and interactions within the tumor microenvironment. experiments validated the efficacy of the prognostic signature model. In this study, high infiltration of M2 TAMs was strongly associated with advanced clinical stages, lymph node metastasis, and reduced overall survival (P<0.001). TCGA datasets were utilized for cross-platform verification. Multivariate Cox regression and survival analyses were performed to establish prognostic relevance. 11 prognostic signature genes (FCGBP, GIMAP5, WIPF1, RASGEF1B, GIMAP7, IGFLR1, GPR35, NCF1, CLECL1, HEXB, IL10) were identified through integrative analysis, which formed the basis of a robust risk stratification model. The distribution of biomarkers in the high-risk group, as determined by the signature we constructed, can serve as a better indicator for assessing poor prognosis. In clinical samples, prognosis signature has the potential to predict the prognosis effectively in patients with HNSCC.M2 TAMs-driven prognostic signature for HNSCC offers a clinically actionable tool for risk stratification and outcome prediction. - Source: PubMed
Publication date: 2025/08/12
Wang JialeLi HuanShi MingruiRen ChenghaoWei WuZhao QiHe XinxinYang ZihuiWei JianhuaYang Xinjie - The accumulation of tail fat in sheep is a manifestation of adaptive evolution to the environment. Sheep with different tail types show significant differences in physiological functions and tail fat deposition. Although these differences reflect the developmental mechanism of tail fat under different gene regulation, the situation of sheep tail fat tissue at the single cell level has not been explored, and its molecular mechanism still needs to be further elucidated. - Source: PubMed
Publication date: 2025/05/09
Wang WannianPang ZhixvZhang SiyingYang PengkunPan YangyangQiao LiyingYang KaijieLiu JianhuaWang RuizhenLiu Wenzhong - Global consumption for chicken meat is steadily increasing. Carcass traits (e.g., slaughter weight [SW], eviscerated weight [EW]) are important economic traits for the meat production in chickens. Detection of genetic variants for these traits contributes to elucidating the genetic mechanism and accelerating genetic improvement. - Source: PubMed
Publication date: 2025/04/04
Zhu XianghuaCui HouxueDong NanxiLiu Lu