SH2D3C 293T Cell Transient Overexpression Lysate(Denatured)
- Known as:
- SH2D3C 293T Cell Transient Overexpression Lysate(Denatured)
- Catalog number:
- H00010044-T01
- Product Quantity:
- 100 uL
- Category:
- -
- Supplier:
- Abno
- Gene target:
- SH2D3C 293T Cell Transient Overexpression Lysate(Denatured)
Related genes to: SH2D3C 293T Cell Transient Overexpression Lysate(Denatured)
- Gene:
- SH2D3C NIH gene
- Name:
- SH2 domain containing 3C
- Previous symbol:
- -
- Synonyms:
- NSP3
- Chromosome:
- 9q34.11
- Locus Type:
- gene with protein product
- Date approved:
- 2001-11-19
- Date modifiied:
- 2016-10-05
Related products to: SH2D3C 293T Cell Transient Overexpression Lysate(Denatured)
Related articles to: SH2D3C 293T Cell Transient Overexpression Lysate(Denatured)
- Geese are key domesticated waterfowl in Asia, where annual egg number and laying duration influence economic value. To investigate the genomic basis of laying seasonality, we generated whole-genome resequencing data for 314 geese from six Chinese breeds and focused on three with contrasting reproductive schedules: low-latitude Ding'an geese, which have a prolonged laying period with moderate annual egg yield, and high-latitude Huoyan and Zi geese, which show short, highly seasonal laying but high egg production. By integrating Fst, GWAS and haplotype-based statistics, we identified 16 candidate genes, including reproduction-related loci (AGTR2, IARS, PCGF6) and retinal genes (FRMD4B, PROS1, SH2D3C, ZEB2). Genomic regions surrounding PCGF6 and PROS1 showed clear signatures of selection, with reduced nucleotide diversity and strongly differentiated haplotypes between latitude-defined groups. Multiple downstream and 3' untranslated-region SNPs at these loci exhibited large allele-frequency shifts and are predicted to alter transcriptional regulation, suggesting a link between retinal photoreception, photoperiodic or circadian signaling and the timing and duration of egg laying. These findings highlight the role of retinal pathways in goose reproductive seasonality and provide targets for genomic selection to potentially extend the laying period. - Source: PubMed
Publication date: 2026/03/24
Chen HaoMiao JunjieHu YimingZhou JingTan HongliLi JingMao HuirongOuyang JingHuang MinGu LihongYan Xueming - Hypertrophic cardiomyopathy (HCM) is a prevalent cardiovascular disorder affecting populations worldwide, characterized by abnormal thickening of the heart muscle.(Supporting S1) The development of HCM is influenced by multiple factors, including genetic mutations, geographical conditions, lifestyle, and environmental exposures. The availability of extensive genomic datasets in public repositories provides an opportunity to identify potential genetic contributors and functional biomarkers associated with HCM. Previous studies have highlighted the pivotal role of the MYBPC3 gene in the pathogenesis of HCM. In this study, computational analyses were performed to predict gene mutations and functional biomarkers using RNA-sequencing and whole exome sequencing datasets. A total of 12 RNA-sequencing samples, comprising four healthy controls and eight HCM cases, along with 12 exome sequencing datasets, were retrieved from the Gene Expression Omnibus (GEO) database. RNA-sequencing analysis identified the top 20 differentially expressed genes associated with HCM, including MIB2, ZBTB48, MYBPC3, PRPF40B, CD27-AS1, MYH7, WDR90, KDM8, BCAM, ZSWIM9, KANK3, CCDC85A, ZNF512B, POLR3H, NUP210, PSMG4, GPLD1, GNL1, SH2D3C, and COL4A6. Among these, MYH7 exhibited the highest expression level, showing strong similarity to MYBPC3 in its association with HCM. Whole exome sequencing analysis further identified a panel of variant genes including MYBPC3, MYH6, MYH7, TNT, Titin, Desmin, ACE1, TGF-beta, Ang-2, SGCG, SGCA, DMD, and LaminA/C, all previously implicated in HCM pathophysiology. This integrative study underscores the correlation between differential gene expression patterns and clinical variants in HCM, providing valuable insights into the molecular mechanisms underlying the disease. - Source: PubMed
Publication date: 2025/11/21
Cn PrashanthaR RamachandraNm GuruprasadReddy Vaddi Damodara - Sjögren's syndrome (SS) is an autoimmune disorder affecting exocrine glands, causing dry mouth and eyes, with no effective treatment. While high-throughput sequencing has provided insights into its mechanisms, the role of alternative splicing (AS) in SS remains underexplored. - Source: PubMed
Publication date: 2025/03/18
Chen JiaxuShi ZhenghaoXue Luan - In the original publication [...]. - Source: PubMed
Publication date: 2025/01/14
Yeh Yuan-ChiehLawal BashirHsiao MichaelHuang Tse-HungHuang Chi-Ying F - Macrophages are immune cells in the TME that can not only inhibit angiogenesis, extracellular matrix remodeling, cancer cell proliferation, and metastasis but also mediate the phagocytosis and killing of cancer cells after activation, making them key targets in anti-tumor immunotherapy. However, there is little research on macrophages and their relation to disease prognosis in HNSCC. Initially, we collected scRNA-seq, bulk RNA-seq, and clinical data. Subsequently, we identified macrophages and distinguished MRGs. Using the K-means algorithm, we performed consensus unsupervised clustering. Next, we used ssGSEA analysis to assess immune cell infiltration in MRG clusters. A risk model was established using multivariate Cox analysis. Then, Kaplan-Meier, ROC curves, univariate and multivariate COX analyses, and C-index was used to validate the predictive power of the signature. The TIDE method was applied to assess the response to immunotherapy in patients diagnosed with HNSCC. In addition, drug susceptibility predictions were made for the GDSC database using the calcPhenotype function. We found that 8 MRGs had prognostic potential. Patients in the MRG group A had a higher probability of survival, and MRG clusters A and B had different characteristics. Cluster A had a higher degree of expression and infiltration in MRG, indicating a closer relationship with MRG. The accuracy of the signature was validated using univariate and multivariate Cox analysis, C-index, and nomogram. Immune landscape analysis found that various immune functions were highly expressed in the low-risk group, indicating an improved response to immunotherapy. Finally, drugs with high sensitivity to HNSCC (such as 5-Fluorouracil, Temozolomide, Carmustine, and EPZ5676) were explored and analyze the malignant characteristics of HNSCC. We constructed a prognostic model using multivariate Cox analysis, consisting of 8 MRGs (TGM2, STC1, SH2D3C, PIK3R3, MAP3K8, ITGA5, ARHGAP4, and AQP1). Patients in the low-risk group may have a higher response to immunotherapy. The more prominent drugs for drug selection are 5-fluorouracil, temozolomide and so on. Malignant features associated with HNSCC include angiogenesis, EMT, and the cell cycle. This study has opened up new prospects for the prognosis, prediction, and clinical treatment strategy of HNSCC. - Source: PubMed
Publication date: 2024/04/30
Liu LeiLiu Qiang