Ask about this productRelated genes to: FAM13C1 antibody
- Gene:
- FAM13C NIH gene
- Name:
- family with sequence similarity 13 member C
- Previous symbol:
- FAM13C1
- Synonyms:
- -
- Chromosome:
- 10q21.1
- Locus Type:
- gene with protein product
- Date approved:
- 2002-11-15
- Date modifiied:
- 2016-10-05
Related products to: FAM13C1 antibody
Related articles to: FAM13C1 antibody
- Pork is a major source of animal protein for humans, and as living standards have improved, consumer demand has shifted from quantity to quality. Amino acid and fatty acid compositions determine the nutritional value and flavor of pork. However, the genetic mechanisms underlying variation in these parameters have not been fully elucidated. In this study, we quantified 17 amino acids and 42 fatty acids in the muscle from three crossbred pig populations, namely Yorkshire × Tibetan (YT), Yorkshire × Neijiang (YN), and Duroc × Tibetan (DT). YT and YN pigs exhibited higher amino acid concentrations, while DT pigs showed elevated fatty acid levels. Subsequently, whole-genome resequencing of 73 pigs identified 24,125,658 high-quality SNPs, among which 146 were significantly associated with fatty acid traits, leading to the identification of 19 candidate genes linked to palmitic acid (i.e., , and ), oleic acid (i.e., , and ), and total fatty acids (i.e., ). Functional annotation revealed that these candidate genes participate primarily in pathways related to lipid metabolism, glucose homeostasis, and energy balance. The identified SNPs and candidate genes provide valuable insights into the genetic architecture of the fatty acid composition in pork and may serve as molecular targets for improving meat quality through breeding. - Source: PubMed
Publication date: 2026/01/29
Tang JieLiang YanAn RuiLuo GanTao XuanLiu PengliangGu Yiren - The prevalence of breast cancer and gynaecological cancers is high, and these cancer types can occur consecutively as secondary cancers. The aim of our study is to determine the genes commonly expressed in these cancers and to identify the common hub genes and drug components. - Source: PubMed
Ayna Duran Gizem - Transcriptomic analyses have revealed hundreds of p53-regulated genes; however, these studies used a limited number of cell lines and p53-activating agents. Therefore, we searched for candidate p53-target genes by employing stress factors and cell lines never before used in a high-throughput search for p53-regulated genes. We performed RNA-Seq on A549 cells exposed to camptothecin, actinomycin D, nutlin-3a, as well as a combination of actinomycin D and nutlin-3a (A + N). The latter two substances synergise upon the activation of selected p53-target genes. A similar analysis was performed on other cell lines (U-2 OS, NCI-H460, A375) exposed to A + N. To identify proteins in cell lysates or those secreted into a medium of A549 cells in control conditions or treated with A + N, we employed mass spectrometry. The expression of selected genes strongly upregulated by A + N or camptothecin was examined by RT-PCR in p53-deficient cells and their controls. We found that p53 participates in the upregulation of: ACP5, APOL3, CDH3, CIBAR2, CRABP2, CTHRC1, CTSH, FAM13C, FBXO2, FRMD8, FRZB, GAST, ICOSLG, KANK3, KCNK6, KLRG2, MAFB, MR1, NDRG4, PTAFR, RETSAT, TMEM52, TNFRSF14, TRANK1, TYSND1, WFDC2, WFDC5, WNT4 genes. Twelve of these proteins were detected in the secretome and/or proteome of treated cells. Our data generated new hypotheses concerning the functioning of p53. Many genes activated by A + N or camptothecin are also activated by interferons, indicating a noticeable overlap between transcriptional programs of p53 and these antiviral cytokines. Moreover, several identified genes code for antagonists of WNT/β-catenin signalling pathways, which suggests new connections between these two cancer-related signalling systems. One of these antagonists is DRAXIN. Previously, we found that its gene is activated by p53. In this study, using mass spectrometry and Western blotting, we detected expression of DRAXIN in a medium of A549 cells exposed to A + N. Thus, this protein functions not only in the development of the nervous system, but it may also have a new cancer-related function. - Source: PubMed
Publication date: 2024/03/07
Łasut-Szyszka BarbaraGdowicz-Kłosok AgnieszkaMałachowska BeataKrześniak MałgorzataBędzińska AgnieszkaGawin MartaPietrowska MonikaRusin Marek - Endometrial cancer (UCEC) is a highly heterogeneous gynecologic malignancy that exhibits variable prognostic outcomes and responses to immunotherapy. The Familial sequence similarity (FAM) gene family is known to contribute to the pathogenesis of various malignancies, but the extent of their involvement in UCEC has not been systematically studied. This investigation aimed to develop a robust risk profile based on FAM family genes (FFGs) to predict the prognosis and suitability for immunotherapy in UCEC patients. Using the TCGA-UCEC cohort from The Cancer Genome Atlas (TCGA) database, we obtained expression profiles of FFGs from 552 UCEC and 35 normal samples, and analyzed the expression patterns and prognostic relevance of 363 FAM family genes. The UCEC samples were randomly divided into training and test sets (1:1), and univariate Cox regression analysis and Lasso Cox regression analysis were conducted to identify the differentially expressed genes (FAM13C, FAM110B, and FAM72A) that were significantly associated with prognosis. A prognostic risk scoring system was constructed based on these three gene characteristics using multivariate Cox proportional risk regression. The clinical potential and immune status of FFGs were analyzed using CiberSort, SSGSEA, and tumor immune dysfunction and rejection (TIDE) algorithms. qRT-PCR and IHC for detecting the expression levels of 3-FFGs. Three FFGs, namely, FAM13C, FAM110B, and FAM72A, were identified as strongly associated with the prognosis of UCEC and effective predictors of UCEC prognosis. Multivariate analysis demonstrated that the developed model was an independent predictor of UCEC, and that patients in the low-risk group had better overall survival than those in the high-risk group. The nomogram constructed from clinical characteristics and risk scores exhibited good prognostic power. Patients in the low-risk group exhibited a higher tumor mutational load (TMB) and were more likely to benefit from immunotherapy. This study successfully developed and validated novel biomarkers based on FFGs for predicting the prognosis and immune status of UCEC patients. The identified FFGs can accurately assess the prognosis of UCEC patients and facilitate the identification of specific subgroups of patients who may benefit from personalized treatment with immunotherapy and chemotherapy. - Source: PubMed
Publication date: 2023/05/19
Chi HaoGao XinruiXia ZhijiaYu WanyingYin XishengPan YifanPeng GaogeMao XinruiTeichmann Alexander TobiasZhang JingTran Lisa JiaJiang TianxiaoLiu YunfeiYang GuanhuWang Qin - Nearly 2000 SNPs associated with pig litter size traits have been reported based on genome-wide association studies (GWASs). The aims of this study were to gather and integrate previously reported associations between SNPs and five litter traits: total number born (TNB), number born alive (NBA), number of stillborn (SB), litter birth weight (LWT), and corpus luteum number (CLN), in order to evaluate their common genetic background and to perform a meta-analysis (MA) of GWASs for total number born (TNB) recorded for animals from five pig populations. In this study, the genes with the largest number of associations with evaluated litter traits were and . Only 21 genes out of 233 associated with the evaluated litter traits were reported in more than one population or for more than one trait. Based on this evaluation, the most interesting candidate gene is , which has an association with SB and TNB traits. Based on GO term analysis, was shown to be involved in angiogenesis as well. As a result of the MA, two new genomic regions, which have not been previously reported, were found to be associated with the TNB trait. One SNP was located on chromosome (SSC) 14 in the intron of the gene. The second SNP was located on SSC9 within the intron of the gene. Functional analysis revealed a strong candidate causal gene underlying the QTL on SSC9. The third best hit and the most promising candidate gene for litter size was found within the gene, associated with lower male fertility in rats. We showed that litter traits studied across pig populations have only a few genomic regions in common based on candidate gene comparison. could be an interesting candidate gene with a wider association with fertility. The MA identified new genomic regions on SSC9 and SSC14 associated with TNB. Further functional analysis indicated the most promising gene was , which was confirmed to affect male fertility in other mammals. This is an important finding, as litter traits are by default linked with females rather than males. - Source: PubMed
Publication date: 2022/09/26
Sell-Kubiak EwaDobrzanski JanDerks Martijn F LLopes Marcos SSzwaczkowski Tomasz