C1orf104 Blocking Peptide
- Known as:
- C1orf104 Blocking Peptide
- Catalog number:
- 33r-1428
- Product Quantity:
- USD
- Category:
- -
- Supplier:
- Fitzgerald industries international
- Gene target:
- C1orf104 Blocking Peptide
Related genes to: C1orf104 Blocking Peptide
- Gene:
- RUSC1-AS1 NIH gene
- Name:
- RUSC1 antisense RNA 1
- Previous symbol:
- C1orf104
- Synonyms:
- FLJ35976
- Chromosome:
- 1q22
- Locus Type:
- RNA, long non-coding
- Date approved:
- 2005-06-03
- Date modifiied:
- 2014-11-19
Related products to: C1orf104 Blocking Peptide
Related articles to: C1orf104 Blocking Peptide
- Nonsense-mediated mRNA decay (NMD) has an important role in the pathoetiology of cancer, including colorectal cancer (CRC). Identification of the lncRNAs associated with this function would enhance our understating about the molecular mechanisms of CRC and facilitate design of novel therapies. In the current study, we used a bioinformatics approach to find NMD-associated lncRNAs in CRC. Then, we assessed expression of these genes in 43 paired CRC samples and adjacent non-tumor (ANT) tissues. Three transcripts were significantly overexpressed in tumor tissue: PABPC1L (mean fold-change ≈ 5.20, 95 % CI 2.30-11.85, P = 0.0003), SNHG17 (mean fold-change ≈ 5.46, 95 % CI 2.04-14.50, P = 0.001), and SNHG1 (mean fold-change ≈ 5.82, P = 0.0086). RUSC1-AS1 showed a non-significant trend toward upregulation (fold-change ≈ 2.15, 95 % CI 0.92-5.00, P = 0.07). The combined four-gene model demonstrated moderate discriminatory power, yielding an AUC of 0.76 (95 % CI 0.65-0.86, < 0.0001) with balanced sensitivity and specificity of 69.8 % each at the 0.5 cutoff (overall accuracy 69.8 %). Taken together, RUSC1-AS1, SNHG17, PABPC1L and SNHG1 can be novel candidates for future diagnostic studies in CRC. - Source: PubMed
Publication date: 2025/11/20
Ghadyani FatemehFazeli ZahraEslami SolatSanati MahlaTajik ZahraGhafouri-Fard SoudehSadeghi Amir - Disulfidptosis, a new identified form of regulated cell death, has been implicated in cancer. However, the mechanisms through which disulfidptosis-related long noncoding RNAs (lncRNAs) predict prognosis in cervical cancer (CC) remain unclear. Here, we identified disulfidptosis-related genes and lncRNAs in the cancer genome atlas database. Least absolute shrinkage and selection operator and Cox regression analyses were used to construct a prognostic risk signature based on optimal disulfidptosis-related lncRNAs. The prognostic performance of the signature was evaluated using Kaplan-Meier survival analysis and receiver operating characteristic curves. Correlation between the risk signature, gene mutation landscape, tumor immune microenvironment, and immunotherapy or chemotherapy sensitivity was determined. Additionally, the expression levels of disulfidptosis-related lncRNAs in CC were validated by quantitative PCR. A total of 403 disulfidptosis-related lncRNAs were identified, among which 9 disulfidptosis-related lncRNAs were used to construct a prognostic risk signature that classified patients with CC into high-risk and low-risk groups. Kaplan-Meier, receiver operating characteristic curves, and the concordance index demonstrated that the risk signature exhibited good sensitivity and specificity. The low-risk group exhibited improved survival outcomes and increased sensitivity to immunotherapy, whereas the high-risk group showed heightened sensitivity to to bexarotene, bicalutamide, embelin, FH535, and pazopanib. Quantitative PCR results indicated that ILF3-DT and PPP1R14B-AS1 were downregulated in CC tissues, whereas RUSC1-AS1 was upregulated. In conclusion, we developed a novel prognostic risk signature based on 9 disulfidptosis-related lncRNAs, which may serve as an independent predictor of immunotherapy response and chemotherapy sensitivity in CC. - Source: PubMed
Zhao HuGuo YilinWang LuLi RuiWang Yingmei - : HBV infections can lead to serious liver complications that can have fatal consequences. In 2022, around 1.1 million individuals died from HBV-related cirrhosis and hepatocellular carcinoma. Vaccines allow us to save more than 2.5 million lives each year; however, up to 10% of vaccinated individuals may not develop sufficient protective antibody levels. The aim of this study was to investigate the epigenetic drift in the response to HBV vaccine in isolated B cells. : Epigenetic drift was measured by counting rare DNA methylation variants. These epivariants were detected in epigenome-wide data collected from isolated B cell samples from 41 responders and 30 non-responders (age range 22-62 years) to vaccination against HBV. : We found an accumulation of epivariants in the NR group, with a significant increase in hyper-methylated aberrations. We identified the chromosomes (1, 3, 11, 12, and 14) and genes (e.g., or ) particularly enriched in epivariants in NRs. The literature search and pathway analysis indicate that such genes are involved in the correct functioning of the immune system. Moreover, we observed a correlation between epigenetic drift and DNA methylation entropy in the male population of the cohort. Finally, we confirmed the correlation between epivariant loads and age-related epigenetic clocks. : Our findings support the idea that an age-related derangement of the epigenetic architecture is involved in unresponsiveness to the HBV vaccine. Furthermore, the overall results highlight the interconnection between various epigenetic dynamics (such as drift, clocks, and entropy), although these interconnections seem not to be involved in the altered immunological activity. - Source: PubMed
Publication date: 2024/11/27
Ferraresi FrancescaAnticoli SimonaSalvioli StefanoPirazzini ChiaraCalzari LucianoGentilini DavideAlbano ChristianDi Prinzio Reparata RosaZaffina SalvatoreCarsetti RitaGaragnani PaoloRuggieri AnnaKwiatkowska Katarzyna Malgorzata - CD4 T cells play a pivotal role in the immune system, particularly in adaptive immunity, by orchestrating and enhancing immune responses. CD4 T cell-related immune responses exhibit diverse characteristics in different diseases. This study utilizes gene expression analysis of CD4 T cells to classify and understand complex diseases. We analyzed the dataset consisting of samples from various diseases, including cancers, metabolic disorders, circulatory and respiratory diseases, and digestive ailments, as well as 53 healthy controls. Each sample contained expression data for 22,881 genes. Four feature ranking algorithms, incremental feature selection method, synthetic minority oversampling technique, and four classification algorithms were utilized to pinpoint essential genes, extract classification rules and build efficient classifiers. The following analysis focused on genes across rules, such as AK4, CALU, LINC01271, and RUSC1-AS1. AK4 and CALU show fluctuating levels in diseases like asthma, Crohn's disease, and breast cancer. The analysis results and existing research suggest that they may play a role in these diseases. LINC01271 generally has higher expression in conditions including asthma, Crohn's disease, and diabetes. RUSC1-AS1 is more expressed in chronic diseases like asthma and Crohn's, but less in acute illnesses like tonsillitis and influenza. This highlights the distinct roles of these genes in different diseases. Our approach highlights the potential for developing novel therapeutic strategies based on the transcriptional profiles of CD4 T cells. - Source: PubMed
Publication date: 2024/12/22
Liao HuiPingMa QingLanChen LeiGuo WeiFeng KaiYanBao YuShengZhang YuShen WenFengHuang TaoCai Yu-Dong - Necroptosis has been linked to the development of tumors. Long non-coding RNAs (IncRNAs) have been identified as having a major role in numerous biological and pathological procedures. Despite this, the precise role that necroptosis-related lncRNAs (NRLs) have in cervical cancer (CC) and their potential for predicting its prognosis is still to a large extent unclear. - Source: PubMed
Publication date: 2023/07/19
Kong XiaoyuXiong Yuanpeng