SPAG16 (aa139_152)
- Known as:
- SPAG16 (aa139_152)
- Catalog number:
- Y214441
- Product Quantity:
- 200ul
- Category:
- -
- Supplier:
- ABM
- Gene target:
- SPAG16 (aa139_152)
Related genes to: SPAG16 (aa139_152)
- Gene:
- SPAG16 NIH gene
- Name:
- sperm associated antigen 16
- Previous symbol:
- -
- Synonyms:
- PF20, FLJ22724, DKFZp666P1710, WDR29
- Chromosome:
- 2q34
- Locus Type:
- gene with protein product
- Date approved:
- 2004-10-13
- Date modifiied:
- 2014-11-19
Related products to: SPAG16 (aa139_152)
1000ul Univ Filter Pipet Tip1000ul Univ Filter Pipet Tip Sterile, Max Recovery11-Deoxy Cortisol C21H30O4 CAS: 152-58-911-Deoxy Cortisol CAS: 152-58-9 Formula: C21H30O4152
1_hydroxy_2_[(6_O_beta_D_xylopyranosyl_ 1_hydroxy_2_[(6_O_beta_2',5' ADP-SEPHAROSE 4B 5g2,6_Diamino_5_(beta_D_glucopyranosylox 2,6_Diamino_5_(beta_D_200 LITER DRUM, Maintenance, 152 liters _ 200 LITER DRUM, Maintenance, 152 liters NE EU SPC-Standard;Pack-KIT;200 LITER DRUM, Oil Only, 152 liters _ 200 LITER DRUM, Oil Only, 152 liters NE EU SPC-Standard;Pack-KIT;5' FAM per 3' ECLIPSE, 10 - 20 nmol yield range Ex: 495 nm per Em: 520 nm5' FAM per 3' ECLIPSE, 20 - 30 nmol yield range Ex: 495 nm per Em: 520 nm5' FAM per 3' ECLIPSE, 30 - 50 nmol yield range Ex: 495 nm per Em: 520 nm5' FAM per 3' ECLIPSE, 5 - 10 nmol yield range Ex: 495 nm per Em: 520 nm5' FAM per 3' ECLIPSE, 50 - 70 nmol yield range Ex: 495 nm per Em: 520 nm Related articles to: SPAG16 (aa139_152)
- Tongue squamous cell carcinoma (TSCC) is clinically heterogeneous, and patients with a similar TNM stage can experience markedly different outcomes. We systematically reviewed omics-driven studies to identify prognostic TSCC biomarkers. Although fundamentally prognostic, we discussed their theoretical translational relevance regarding future clinical decisions-such as treatment stratification or surveillance intensity-while strictly framing them as preliminary, hypothesis-generating targets. PubMed, Scopus, Web of Science, and Cochrane were searched for original human studies published between 2014 and 2024 using high-throughput genomic or transcriptomic profiling. Study selection followed referred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), data were extracted with a structured workbook, and risk of bias was assessed using QUIPS and PROBAST, with reporting completeness appraised using REMARK. Seventeen studies were included, identifying 85 distinct biomarkers. Across biomarkers supported by multivariable overall survival analyses, higher-risk associations were reported for , , , , and , whereas lower-risk associations were reported for , , , , and . Recurrent biological themes included IL-17 signaling, ECM-receptor interaction, and focal adhesion. was the only biomarker reported in more than one included study, supporting its prioritization for validation. Although the evidence remains heterogeneous and largely hypothesis-generating, these markers may support the future validation of response-oriented therapeutic stratification in TSCC. - Source: PubMed
Publication date: 2026/04/10
Astreidis IoannisKostidis IliasMalousi AndigoniParaskevopoulos KonstantinosAndreadis DimitriosVahtsevanos KonstantinosVizirianakis Ioannis - Idiopathic pulmonary fibrosis (IPF) is a deadly lung disease and currently has limited treatment options. E3 ubiquitin ligases play a role in multiple diseases; however, there are few studies involving them in the development of IPF. This study aimed to develop an E3 ubiquitin ligase gene-based risk signature model to predict the prognosis of patients with IPF. - Source: PubMed
Liu JunhuiZhu LongfeiLi GuirongChen Jingyu - Bovine respiratory disease (BRD) is the leading natural cause of death in cattle. It is a multifactorial disease comprised of bacterial and viral pathogens. To aid in the reduction of BRD morbidity and mortality and the selection of cattle with reduced susceptibility, the objectives of this study were to identify loci, gene sets, positional candidate and leading-edge genes associated with or enriched for BRD in pre-weaned and post-weaned Holstein calves. - Source: PubMed
Publication date: 2025/07/31
Herrick Allison LKiser Jennifer NWhite Stephen NNeibergs Holly L - Monkeypox virus (Mpox) has recently drawn global attention due to outbreaks beyond its traditional endemic regions. Understanding the immune response to Mpox infection is essential for improving disease management and guiding vaccine development. In this study, we used several machine learning algorithms to analyze time series gene expression data from macaques infected with Mpox, aiming to uncover key immune-related genes involved in different stages of infection. The dataset covered early infection, late infection, and rechallenge phases. We applied nine feature ranking methods to analyze the feature importance, obtaining nine feature lists. Then, the incremental feature selection method was applied to each list to extract key genes and build efficient prediction models and classification rules for each list. This procedure employed twelve classification algorithms and the Synthetic Minority Oversampling Technique. Key genes-such as CD19, MS4A1, and TLR10-were repeatedly identified from multiple feature lists, and are known to play vital roles in B-cell activation, antibody production, and innate immunity. Furthermore, we identified several novel key genes (HS3ST1, SPAG16, and MTARC2) that have not been reported previously. These findings offer valuable insights into the host immune response and highlight potential molecular targets for monitoring and intervention in Mpox infections. - Source: PubMed
Publication date: 2025/06/30
Ma QinglanZhou XianchaoChen LeiFeng KaiyanBao YushengGuo WeiHuang TaoCai Yu-Dong - Airway mucus hypersecretion is a prominent pathophysiological characteristic observed in chronic obstructive pulmonary disease (COPD), cystic fibrosis, and asthma. It is a significant risk factor for lung dysfunction and impaired quality of life. Therefore, it is crucial to investigate changes in the major genes expressed in the lungs during airway mucus hypersecretion. Such investigations can help to identify genetic targets for the development of effective treatments to manage airway mucus hypersecretion and improve clinical outcomes for those affected by these respiratory disorders. - Source: PubMed
Liu YulinLiu TingtingRuan LingZhu DanliHe YijingJia JingChen Yirong