FAM120A Peptide
- Known as:
- FAM120A Peptide
- Catalog number:
- 5307P
- Product Quantity:
- 0.05 mg
- Category:
- -
- Supplier:
- Prosci
- Gene target:
- FAM120A Peptide
Related genes to: FAM120A Peptide
- Gene:
- FAM120A NIH gene
- Name:
- family with sequence similarity 120A
- Previous symbol:
- C9orf10
- Synonyms:
- KIAA0183, OSSA
- Chromosome:
- 9q22.31
- Locus Type:
- gene with protein product
- Date approved:
- 2002-10-09
- Date modifiied:
- 2017-07-12
Related products to: FAM120A Peptide
Related articles to: FAM120A Peptide
- Depression-related liability is frequently accompanied by reduced physical function, yet the shared genetic architecture linking mood-related traits and physical-function decline remains incompletely characterized. We applied genomic structural equation modeling to European-ancestry GWAS summary statistics for five constituent phenotypes: depressive symptoms, depression diagnosis, grip strength, appendicular lean mass, and walking pace. A Depression-Physical Function shared genetic factor was constructed as a cross-trait genetic covariance dimension and evaluated using LDSC-based validation and leave-one-trait-out sensitivity analyses. We then performed factor GWAS, FUMA locus annotation, Bayesian fine-mapping, MAGMA gene-based analysis, transcriptome-wide association analysis, pathway enrichment, CELLECT/MAGMA cell-type specificity analysis, partitioned heritability analysis, and gsMap spatial transcriptomic mapping. The shared factor showed good model fit and retained 755,397 quality-controlled variants for downstream analysis. The factor was positively genetically correlated with depression-related traits and negatively correlated with physical-function-related traits. FUMA identified 245 genome-wide significant SNPs, 44 lead SNPs, and 38 genomic risk loci, with 127 positional mapped genes. Fine-mapping prioritized one high-confidence locus. MAGMA identified 19 Bonferroni-significant genes and 326 FDR-significant genes, while TWAS identified 322 FDR-significant expression-associated genes. Integrating FUMA positional mapping, MAGMA gene-level association and TWAS expression-level association prioritized eight convergent genes: TMEM106B, CENPW, DRD2, LRFN5, NCAPG, DCAF16, SGIP1, and FAM120A. Functional enrichment highlighted postsynaptic structure, neuron spine, synaptic plasticity, and synapse organization. CELLECT/MAGMA prioritized brain non-myeloid neurons and glial populations, with additional endocrine-metabolic and immune-hematopoietic signals. Spatial transcriptomic mapping localized top signals to brain and spinal cord regions in the embryonic neuro-muscle reference. Partitioned heritability analysis showed enrichment in conserved, intronic, promoter, and chromatin-related genomic annotations. These findings support a shared polygenic covariance dimension linking depression-related liability with reduced physical-function-related genetic propensity. Downstream analyses prioritized candidate loci, genes, and biological contexts, with enrichment patterns consistent with neuronal, synaptic, and regulatory genomic processes. - Source: PubMed
Publication date: 2026/07/16
Zeng WenYang XiupengXu Yonggang - Clear cell renal cell carcinoma (ccRCC) is characterized by extensive lipid metabolic reprogramming that drives tumor progression and therapeutic resistance. Although sterol regulatory element-binding protein 1 (SREBP1) is a central regulator of lipogenesis in ccRCC, the upstream mechanisms governing its activation remain poorly defined. Here, we investigated the role of FAM120A in SREBP1-dependent lipid metabolism and evaluated the therapeutic potential of the natural product Soulangianolide A (SA). - Source: PubMed
Publication date: 2026/07/17
Luo WeiSong ZhengLiu ZishuZhang GuangshuaiYan SiPeng RuiBai ZhaofangQin ShuanglinXiao Xiaohe - Amyotrophic lateral sclerosis (ALS) is a disabling and fatal neurological disease, which is characterized by the loss of motor neuron function in the brain and spinal cord. Due to genetic complexity, ALS disease is not well understood. By applying a bioinformatic approach, referred to as convergent analysis, we identified the poorly characterized protein FAM120A as a new candidate gene related to RNA metabolism, a process known to be affected during ALS disease. We studied Fam120A in the context of ALS in vivo and in vitro using an ALS mouse model and a cellular model. We found that Fam120A mRNA levels were decreased in the pre-symptomatic stage in the spinal cord of SOD1G93A mice, while Fam120A protein levels were decreased at the symptomatic stage. Fam120A was expressed mainly in neurons in the spinal cord. Overexpression of FAM120A in a motor neuron cell culture model decreased the levels of SOD1G93A aggregates. In summary, our results warrant further studies of FAM120A in the context of ALS, since it appears to be involved in disease progression and might have a role in proteostasis maintenance. - Source: PubMed
Publication date: 2026/02/10
Vicencio EmilianoGomez LauraBeltran SebastianHernandez FernandaRodriguez LeonardoBravo ConstanzaJofré ThiareGálvez FabiánLabrador LuisRojas-Rivera DiegoCortés Bastián ICortez CristianManque PatricioWoehlbier Ute - Cisplatin-based chemotherapy is a standard treatment for non-small cell lung cancer (NSCLC), but drug resistance poses a major clinical challenge. Stress-adaptive mechanisms, such as stress granule (SG) formation, are increasingly recognized alternative pathways that facilitate cancer cell survival. Here, we identify the RNA-binding protein, family with sequence similarity 120A (FAM120A), as an SG-associated factor that drives cisplatin resistance in NSCLC. FAM120A expression was markedly elevated in cisplatin-resistant NSCLC cell lines and clinical tumor specimens and was essential for SG formation and cell survival following cisplatin-induced stress. We found that the intrinsically disordered RNA-binding domain of FAM120A is essential for its incorporation into SGs and for its cytoprotective function. Using enhanced cross-linking immunoprecipitation sequencing data and RNA immunoprecipitation-qPCR, we identified the long noncoding RNA, metastasis-associated lung adenocarcinoma transcript 1 as a key FAM120A interacting partner. MALAT1 levels were reduced upon FAM120A depletion, and overexpression of MALAT1 was sufficient to restore cisplatin resistance in these cells. These findings suggest that MALAT1 is an RNA species that is stabilized by FAM120A and involved in the cellular response to chemotherapy. Targeting this regulatory mechanism may offer new therapeutic strategies to overcome cisplatin resistance in NSCLC. - Source: PubMed
Hayai ShunsakuSuzuki Miho MIijima KentaShinjo KeikoMurofushi YoshiteruXie JingqiNishimura TatsunoriIshii MakotoKondo Yutaka - Colorectal cancer (CRC) is the second leading cause of cancer-related mortality. Given its established associations with gut microbiota and inflammatory bowel disease (IBD), elucidating their relationships and developing predictive models are critical for early detection and therapy. Using Mendelian randomization (MR), we integrated data from the MiBioGen Consortium and multiple genome-wide association studies (GWAS). Single nucleotide polymorphisms (SNPs) associated with gut microbiota were mapped to genes, followed by gene selection via least absolute shrinkage and selection operator (LASSO) regression. Transcriptome analyses identified differential gene expressions and immune cell infiltration patterns. Six machine learning models were integrated through soft voting to predict CRC risk, validated by single-cell sequencing analysis. Mediation MR identified 12 gut microbial taxa causally associated with CRC, mediated partially by IBD. SNP mapping and expression analysis highlighted eight CRC-associated genes, five of which (FAM120A, GBE1, MCM6, MSRA, ZDHHC4) were further underscored by drug target MR and summary-data-based MR (SMR). Transcriptomics implicated dysregulation in the neuroactive ligand-receptor interactions and the G2/M DNA checkpoint pathway. Immune infiltration analysis demonstrated elevated CD4⁺ T cells and M0 macrophages in the high-LASSO score group. Integrated machine learning models built using the five key genes achieved robust predictive performance. Single-cell sequencing analysis confirmed gene expression patterns. By integrating mediation MR, transcriptomics, and machine learning, this study demonstrated causal relationships between specific gut microbiota and CRC, with IBD as a mediator. We identified potential therapeutic targets and developed robust predictive models, providing crucial insights into the pathogenesis and clinical detection of CRC. - Source: PubMed
Publication date: 2025/09/22
Wang Jin-BeiWu Zhen-GuoBi Guan-WeiLi YuYao Zhi-WenYu Yan-Bo