Ask about this productRelated genes to: Cyyr1 antibody
- Gene:
- CYYR1 NIH gene
- Name:
- cysteine and tyrosine rich 1
- Previous symbol:
- C21orf95
- Synonyms:
- -
- Chromosome:
- 21q21.3
- Locus Type:
- gene with protein product
- Date approved:
- 2001-07-23
- Date modifiied:
- 2016-10-05
Related products to: Cyyr1 antibody
Related articles to: Cyyr1 antibody
- During tuberculosis (TB), organ-specific immune responses and intracellular pathways play critical roles in disease progression and prognosis. Identifying genes that regulate these immune mechanisms remains a key challenge in improving TB management strategies. To investigate genes potentially associated with enhanced resistance to TB and the modulation of immune responses, we analysed RNA-seq data from whole cells isolated from the lungs and livers of mice infected with Mycobacterium tuberculosis (Mtb) at two time points that represent different outcomes. We hypothesised that these two organs mount distinct responses to infection, supported by differences in the immune response and bacterial burden kinetics observed in each tissue. Our analysis revealed differential gene expression profiles between the lungs and livers, primarily involving metabolic and immune-related pathways. Through meta-analysis, we identified orthologous genes shared between Mtb-infected mice and human patients with latent pulmonary TB. In the omics analysis, the four genes, Creb3l1, Myo7b, Cyyr1, and Cbs, were differentially expressed and associated with either resistance or susceptibility. In vitro assays further demonstrated that knockdown of CREB3L1 in Mtb-infected THP-1 or primary human monocytes impaired key effector functions, including phagocytosis, bacterial killing, and apoptosis. Taken together, these findings indicate that CREB3L1 possibly contributes to the regulation of genes essential for bacterial control in the lungs during latent TB infection. In contrast, its increased expression in the peripheral blood of patients with severe TB is more likely linked to systemic inflammatory dysregulation rather than direct antimicrobial activity. Notably, CREB3L1 expression in these patients positively correlated with cytokines such as IL-17, IL-12, and IFN-γ, which are central to macrophage activation and effector T cell recruitment. Thus, CREB3L1 appears to play a dual role in TB: under controlled infection, it acts as an immunomodulator limiting excessive pulmonary inflammation, while in severe disease, it may reflect an attempt by the host to amplify inflammatory responses to counteract progressive infection. - Source: PubMed
Publication date: 2025/12/12
Lima Felipe TCastro Ricardo CJavier Francisco RFontanari CarolineBollela Valdes RRosada Rogerio SSilva Célio LFaccioli Lúcia HGardinassi Luiz GFrantz Fabiani G - Recent advancements in biomarker identification and machine learning have significantly enhanced the prediction and diagnosis of Bronchopulmonary Dysplasia (BPD) and neonatal respiratory distress syndrome (nRDS) in preterm infants. Key predictors of BPD severity include elevated cytokines like Interleukin-6 (IL-6) and Tumor Necrosis Factor-alpha (TNF-α), as well as inflammatory markers such as the Neutrophil-to-Lymphocyte Ratio (NLR) and soluble gp130. Research into endoplasmic reticulum stress-related genes, differentially expressed genes, and ferroptosis-related genes provides valuable insights into BPD's pathophysiology. Machine learning models like XGBoost and Random Forest have identified important biomarkers, including CYYR1, GALNT14, and OLAH, improving diagnostic accuracy. Additionally, a five-gene transcriptomic signature shows promise for early identification of at-risk neonates, underscoring the significance of immune response factors in BPD. For nRDS, biomarkers such as the lecithin/sphingomyelin (L/S) ratio and oxidative stress indicators have been effectively used in innovative diagnostic methods, including attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) and high-content screening for ABCA3 modulation. Machine learning algorithms like Partial Least Squares Regression (PLSR) and C5.0 have shown potential in accurately identifying critical health indicators. Furthermore, advanced feature extraction methods for analyzing neonatal cry signals offer a non-invasive means to differentiate between conditions like sepsis and nRDS. Overall, these findings emphasize the importance of combining biomarker analysis with advanced computational techniques to improve clinical decision-making and intervention strategies for managing BPD and nRDS in vulnerable preterm infants. - Source: PubMed
Publication date: 2025/04/25
Talebi HaniehDastgheib Seyed AlirezaVafapour MaryamBahrami RezaGolshan-Tafti MohammadDanaei MahsaAzizi SepidehShahbazi AmirhosseinPourkazemi MelinaYeganegi MaryamShiri AmirmasoudMasoudi AliRashnavadi HeewaNeamatzadeh Hossein - Ubiquitination plays a crucial role in cellular homeostasis by regulating the degradation, localization, and activity of proteins, ensuring proper cell function and balance. Among E3 ubiquitin ligases, WW domain-containing protein 1 (WWP1) is implicated in cell proliferation, survival, and apoptosis. Notably WWP1 is frequently amplified in breast cancer and associated with poor prognosis. Here, we identify the protein cysteine and tyrosine-rich protein 1 (CYYR1) that had previously no assigned function, as a regulator of WWP1 activity and stability. We show that CYYR1 binds to the WW domains of the E3 ubiquitin ligase WWP1 through its PPxY motifs. This interaction triggers K63-linked autoubiquitination and subsequent degradation of WWP1. We furthermore demonstrate that CYYR1 localizes to late endosomal vesicles and directs polyubiquitinated WWP1 toward lysosomal degradation through binding to ANKyrin repeat domain-containing protein 13 A (ANKRD13A). Moreover, we found that CYYR1 expression attenuates breast cancer cell growth in anchorage-dependent and independent colony formation assays in a PPxY-dependent manner. Finally, we highlight that CYYR1 expression is significantly decreased in breast cancer and is associated with beneficial clinical outcome. Taken together our study suggests tumor suppressor properties for CYYR1 through regulation of WWP1 autoubiquitination and lysosomal degradation. - Source: PubMed
Publication date: 2024/07/24
Perron TiphaineBoissan MathieuBièche IvanCourtois LauraDingli FlorentLoew DamarysChouchène MounaColasse SabrinaLevy LaurencePrunier Céline - Bronchopulmonary dysplasia (BPD) is often seen as a pulmonary complication of extreme preterm birth, resulting in persistent respiratory symptoms and diminished lung function. Unfortunately, current diagnostic and treatment options for this condition are insufficient. Hence, this study aimed to identify potential biomarkers in the peripheral blood of neonates affected by BPD. The Gene Expression Omnibus provided the expression dataset GSE32472 for BPD. Initially, using this database, we identified differentially expressed genes (DEGs) in GSE32472. Subsequently, we conducted gene set enrichment analysis on the DEGs and employed weighted gene co-expression network analysis (WGCNA) to screen the most relevant modules for BPD. We then mapped the DEGs to the WGCNA module genes, resulting in a gene intersection. We conducted detailed functional enrichment analyses on these overlapping genes. To identify hub genes, we used 3 machine learning algorithms, including SVM-RFE, LASSO, and Random Forest. We constructed a diagnostic nomogram model for predicting BPD based on the hub genes. Additionally, we carried out transcription factor analysis to predict the regulatory mechanisms and identify drugs associated with these biomarkers. We used differential analysis to obtain 470 DEGs and conducted WGCNA analysis to identify 1351 significant genes. The intersection of these 2 approaches yielded 273 common genes. Using machine learning algorithms, we identified CYYR1, GALNT14, and OLAH as potential biomarkers for BPD. Moreover, we predicted flunisolide, budesonide, and beclomethasone as potential anti-BPD drugs. The genes CYYR1, GALNT14, and OLAH have the potential to serve as diagnostic biomarkers for BPD. This may prove beneficial in clinical diagnosis and prevention of BPD. - Source: PubMed
Luo LiyanLuo FeiWu ChuyanZhang HongJiang QiaozhiHe SixiangLi WeibiZhang WenlongCheng YurongYang PengchengLi ZhenghuLi MinBao YunleiJiang Feng - As yet, the genetic abnormalities involved in the exacerbation of Ulcerative colitis (UC) have not been adequately explored based on bioinformatic methods. - Source: PubMed
Publication date: 2023/07/19
Wang YaoZhuang HaoJiang Xiao-HanZou Rui-HanWang Hai-YangFan Zhi-Ning