Ask about this productRelated genes to: RPL26L1 antibody
- Gene:
- RPL26L1 NIH gene
- Name:
- ribosomal protein L26 like 1
- Previous symbol:
- RPL26P1
- Synonyms:
- -
- Chromosome:
- 5q35.1
- Locus Type:
- gene with protein product
- Date approved:
- 2001-10-19
- Date modifiied:
- 2016-10-05
Related products to: RPL26L1 antibody
Related articles to: RPL26L1 antibody
- Osteosarcoma (OS) is a common primary malignant bone tumor in children and adolescents. Increasing evidence suggests that immune dysregulation contributes to OS progression, but its tissue-level and systemic features remain incompletely defined. This study aimed to characterize immune-related alterations in OS and identify key immunoregulatory molecules associated with disease progression. - Source: PubMed
Publication date: 2026/05/07
Zhu JichongHuang ChengqianTan Weiming - Mature cow weight (MWT), height (MHT), and body condition score (BCS) are economically important traits that significantly influence cowherd profitability by affecting maintenance feed requirements, which is the largest component of production costs. This study aimed to identify genomic regions, candidate genes, and pleiotropic variants associated with mature cow size traits in American Angus cattle, and to characterize their related gene ontology terms and metabolic pathways. The dataset provided by the American Angus Association comprised 434,746 MWT records from 222,907 animals; 213,875 MHT records from 112,987 animals; and 382,156 BCS records from 209,696 animals. Of these, 45,606 cows were genotyped and imputed to a common marker density of 54,609 markers. A final dataset of 51,410 SNPs from 45,452 animals remained after quality control for further analyses. The single-step genome-wide association study (ssGWAS) method was used in the analyses. Significant associations for mature cow size were detected on BTA7, BTA14, and BTA20, overlapping with previously reported QTLs for growth, feed efficiency, and carcass traits. Candidate genes such as FBXO32, STC2, DUSP1, CREBRF, LAP3, and PENK were found to be related to muscle development, skeletal growth, lipid metabolism, and energy regulation. The genes FBXO32, NTAQ1, ATAD2, DUSP1, ERGIC1, RPL26L1, ATP6V0E1, CREBRF, BNIP1, NKX2-5, and STC2 emerged as candidate genes exhibiting pleiotropic effects on mature cow size traits. Pathway enrichment highlighted the roles of insulin/IGF1R signaling, fibroblast growth factor receptors cascades, and mitogen-activated protein kinase pathways in MWT and MHT, while for BCS, only RHOD GTPase cycle was enriched. Pleiotropy-based analysis of regions affecting mature cow size traits identified shared genomic loci, and subsequent pathway analysis revealed G protein signaling as a common regulatory mechanism linking energy balance, adiposity, and growth. These results contribute to a better understanding of the genomic regions associated with mature cow size traits in Angus cattle. - Source: PubMed
Publication date: 2026/04/06
Ojo Ayooluwa OMulim Henrique ACampos Milena A FGarcia AndréRetallick-Riley KelliFonseca Pablo A SOliveira Hinayah R - Hypoplastic left heart syndrome (HLHS) is the most lethal congenital heart disease (CHD) whose genetic basis remains elusive, likely due to oligogenic complexity. To identify regulators of cardiomyocyte (CM) proliferation relevant to HLHS, we performed a genome-wide siRNA screen in human iPSC-derived CMs, revealing ribosomal protein (RP) genes as the most prominent effectors of CM proliferation. Whole-genome sequencing of 25 HLHS proband-parent trios similarly showed enrichment of rare RP gene variants, including a damaging RPS15A promoter variant shared in a familial CHD case. Cross-species functional analyses demonstrated that perturbation of RP genes impairs cardiac growth: knockdown of RPS15A, RPS17, RPL26L1, RPL39, or RPS15 reduced CM proliferation, caused cardiac malformations in , and produced hypoplastic or dysfunctional hearts in zebrafish. Genetic interactions between RP genes and key cardiac transcription factors (TBX5 and NKX2-7) further support their developmental role. Importantly, p53 suppression or Hippo activation partially rescued RP deficiency phenotypes. Together, these findings implicate RP genes as critical regulators of cardiogenesis and candidate contributors to HLHS. - Source: PubMed
Publication date: 2025/12/11
Nielsen TanjaKervadec AnaïsTheis Jeanne LMissinato Maria AMarchant JamesRomero MichaelaMarchetti KatyaLamba AashnaZeng Xin-Xin IBerenguer MarieWalls Stanley MSchroeder AnalyneBirker KatjaDuester GregGrossfeld PaulNelson Timothy JOlson Timothy MOcorr KarenBodmer RolfVogler GeorgColas Alexandre R - Obstructive sleep apnea (OSA) and major depressive disorder (MDD) impose substantial quality-of-life burdens and socioeconomic costs. Growing evidence indicates bidirectional disease interactions that exacerbate clinical outcomes. This study identifies diagnostic biomarkers and explores therapeutic targets underlying OSA-MDD comorbidity. - Source: PubMed
Publication date: 2025/11/19
Lu YinfeiTang ZaoZhou XiangyuLin WantingGuo Xiao - Multiple myeloma (MM) is a genetically complicated plasma cell malignancy characterized by malignant plasma cell proliferation and monoclonal immunoglobulin synthesis. As a disease that remains incurable, enhancing prognostic accuracy is of paramount importance. Tumor-derived exosomes (TDEs) play key roles in modulating the tumor microenvironment, angiogenesis and immune system. Exosomes are involved in multiple processes contributing to cancer progression, including in MM. However, the connection between myeloma and exosome-related genes (ERGs) has not been explored. Therefore, we aim to establish a more accurate model to evaluate the prognosis of MM patients based on the exosome-related genes. This study established an ERG-based prognostic model for MM and investigated its association with the immune microenvironment. Using transcriptomic data from GSE136337 (training set) and GSE24080 (validation set), we identified six prognostic ERGs (BIRC5, LDHA, MRPS30, MRPL15, RPL26L1, and S1PR2) through Cox and LASSO regression analyses, constructing a risk-scoring model. The model demonstrated robust predictive performance for 3-year survival (AUC = 0.74 in training set; AUC = 0.69 in both validation sets). A nomogram integrating age, ISS stage, and risk score significantly improved prognostic accuracy (3-year survival AUC = 0.77). Functional enrichment analysis revealed that high-risk patients exhibited activation of oncogenic pathways, including cell cycle regulation and DNA replication (P < 0.01). Immune profiling identified an immunosuppressive microenvironment in the high-risk group, characterized by reduced CD8 + T cell infiltration (P = 0.004) and elevated TIDE scores (P = 0.012), indicating increased resistance to immunotherapy. TCGA database validation and in vitro experiments confirmed the critical role of these ERGs in tumor microenvironment remodeling. To our knowledge, this represents the first ERG-based prognostic system for MM, providing a biologically insightful and clinically applicable tool for personalized treatment strategies. - Source: PubMed
Publication date: 2025/07/15
Zheng DongZhang BingxinWang QuanqiangZheng SisiXia YiboZheng ZiweiLin ZhiliZhu ShuxiaZhang XinyiCui LuningYing HansenZhang TianyuZhou ShujuanChen ZixingLan EnqingZhang YuLin XuanruChen JingjingQian HonglanHu XudongZhuang YanXie ZuotingZhou XiangjingJin ZhouxiangJiang SongfuMa Yongyong