C8orf70 Blocking Peptide
- Known as:
- C8orf70 Blocking Peptide
- Catalog number:
- 33r-7454
- Product Quantity:
- USD
- Category:
- -
- Supplier:
- Fitzgerald industries international
- Gene target:
- C8orf70 Blocking Peptide
Ask about this productRelated genes to: C8orf70 Blocking Peptide
- Gene:
- ZC2HC1A NIH gene
- Name:
- zinc finger C2HC-type containing 1A
- Previous symbol:
- C8orf70, FAM164A
- Synonyms:
- CGI-62
- Chromosome:
- 8q21.13
- Locus Type:
- gene with protein product
- Date approved:
- 2005-09-22
- Date modifiied:
- 2016-10-05
Related products to: C8orf70 Blocking Peptide
Related articles to: C8orf70 Blocking Peptide
- Duck hepatitis A virus type 3 (DHAV-3) causes severe economic losses in the duck industry, yet the regulatory roles of circular RNAs (circRNAs) during infection remain unclear. This study combined transcriptome sequencing and functional analyses to investigate circRNA expression and mechanisms in DHAV-3 infection. We identified 44 differentially expressed circRNAs in duck livers post-infection, among which circPTPN3 was the most significantly upregulated. Gain- and loss-of-function experiments confirmed that circPTPN3 promotes DHAV-3 replication. Mechanistically, circPTPN3 was found to act as a sponge for miR-130b-5p, a miRNA with antiviral effects, thereby alleviating its suppression of pro-viral genes (e.g., ZC2HC1A, NMNAT2, and GPR65). These results reveal a novel circPTPN3/miR-130b-5p regulatory axis that facilitates DHAV-3 replication, providing new insights into host-virus interactions and potential therapeutic targets for antiviral strategies. - Source: PubMed
Publication date: 2025/11/19
Liu YingLi ShaofeiMei XiangTian ShujieCao JuntingWang ShuaiqinHou ShuishengWang XiaZhang Yunsheng - Besides our understanding of the effects of ZIKA virus (ZIKV) infection on neural progenitors' cells the pathogenesis of this RNA virus also involves antigen-presenting cells, including macrophages. However, the molecular mechanisms that control gene activation and repression associated with the macrophage response to acute ZIKV infection are not fully understood. We approached the issue by RNA-seq and miRNA-seq datasets to understand the genetic program of ZIKV-infected macrophages. Results indicate that macrophage activates a regulatory program, involving 1067 differentially expressed genes. These genetic programs induced an inflammatory response mediated by chemokines as well as an interferon-independent anti-viral response, presumptively activated by IL-27. Additionally, the pathogenetic process involves changes in other signaling pathways such as cellular stress, cell signaling, metabolism, and cell differentiation. Furthermore, transcriptional control analysis revealed regulatory functions of key transcription factors principally, NFκB and STAT1, as well as HIF1A, ETV7, and PRMD1 that are associated with metabolic reprogramming during viral infection. We also noted six long-noncoding RNAs (lncRNAs) that may act in the regulation of gene expression, including MROCKI and ZC2HC1A-2, that are involved in the inflammatory response and expression of the cytokines, respectively. On the other hand, post-transcriptional control by miRNAs, including miR-155-5p and miR-146a-5p, are associated with modulation of genes related to inflammatory and antiviral responses. Relevant to the post-transcriptional control, our data unveiled the role of RNA binding proteins that have diverse functions such as ribonucleases (PNPT1, ZC3H12A, and ZC3HAV1), splicing factors (SSB, RBM11, and RAVER2), and RNA modifiers (PARP10 and PARP14). Overall, the results establish an unbiased approach to discerning the wiring of a regulatory mechanism controlling the genetic program in ZIKV-infected macrophages. - Source: PubMed
Publication date: 2022/10/17
Fernandez Geysson JavierRamírez-Mejía Julieta MUrcuqui-Inchima Silvio - N6-Methyladenosine (m6A) RNA methylation is the most universal mRNA modification in eukaryotic cells. M6A mRNA modification affects almost every phases of RNA processing, including splicing, decay, export, translation and expression. Several patents have reported the application of m6A mRNA modification in cancer diagnosis and treatment. Ovarian cancer is the leading cause of death among all gynecological cancers. It is urgent to identify new biomarkers for early diagnosis and prognosis of ovarian cancer. - Source: PubMed
Jiao JiaoJiang LongyangLuo Yang - Prostate cancer (PC) is one of the most common cancers among men worldwide, and advanced PCs, such as locally advanced PC (LAPC) and castration-resistant PC (CRPC), present the greatest challenges in clinical management. Current indicators have limited capacity to predict the disease course; therefore, better prognostic markers are greatly needed. In this study, we performed a bioinformatic analysis of The Cancer Genome Atlas (TCGA) datasets, including RNA-Seq data from the prostate adenocarcinoma (PRAD; = 55) and West Coast Dream Team - metastatic CRPC (WCDT-MCRPC; = 84) projects, to evaluate the transcriptome changes associated with progression-free survival (PFS) for LAPC and CRPC, respectively. We identified the genes whose expression was positively/negatively correlated with PFS. In LAPC, the genes with the most significant negative correlations were , , and , and the genes with the most significant positive correlations were , , , , and . In CRPC, the most significant positive correlations were found for , , , and , and the most significant negative correlations were found for , , , , and . In addition, we performed a gene network interaction analysis using STRINGdb, which revealed a significant relationship between genes predominantly involved in the cell cycle and characterized by upregulated expression in early recurrence. Based on the results, we propose several genes that can be used as potential prognostic markers. - Source: PubMed
Publication date: 2021/01/21
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