Small Tube Rotator, 2 - 83 rpm, with multi-tube head for up to 40, 5-10mm micro tubes, 120V
- Known as:
- Small Tube Rotator, 2 - 83 rpm, multi-tube head 40, 5-10mm micro tubes, 120V
- Catalog number:
- 099A CR4012
- Category:
- -
- Supplier:
- Glcol
- Gene target:
- Small Tube Rotator 2 - 83 rpm with multi-tube head for 40 5-10mm micro tubes 120V
Related genes to: Small Tube Rotator, 2 - 83 rpm, with multi-tube head for up to 40, 5-10mm micro tubes, 120V
- Gene:
- SERPINB13 NIH gene
- Name:
- serpin family B member 13
- Previous symbol:
- PI13
- Synonyms:
- HUR7, hurpin, headpin
- Chromosome:
- 18q21.33
- Locus Type:
- gene with protein product
- Date approved:
- 1995-12-20
- Date modifiied:
- 2016-04-06
Related products to: Small Tube Rotator, 2 - 83 rpm, with multi-tube head for up to 40, 5-10mm micro tubes, 120V
Related articles to: Small Tube Rotator, 2 - 83 rpm, with multi-tube head for up to 40, 5-10mm micro tubes, 120V
- Psoriasis represents a multifaceted and debilitating immune-mediated systemic ailment afflicting millions globally. Despite the continuous discovery of biomarkers associated with psoriasis, identifying lysosomal biomarkers, pivotal as cellular metabolic hubs, remains elusive. - Source: PubMed
Publication date: 2024/04/18
Deng WenhuiYan YijiaoShi ChengzhiSui Daoshun - Transcriptional profiling of muscle-invasive bladder cancer (MIBC) using RNA sequencing (RNA-seq) technology has demonstrated the existence of intrinsic basal and luminal molecular subtypes that vary in their prognosis and response to therapy. However, routine use of RNA-seq in a clinical setting is restricted by cost and technical difficulties. Herein, we provide a single-sample NanoString-based seven-gene (KRT5, KRT6C, SERPINB13, UPK1A, UPK2, UPK3A and KRT20) MIBC molecular classifier that assigns a luminal and basal molecular subtype. The classifier was developed in a series of 138 chemotherapy naïve MIBCs split into training (70%) and testing (30%) datasets. Further, we validated the previously published CK5/6 and GATA3 immunohistochemical classifier which showed high concordance of 96.9% with the NanoString-based gene expression classifier. Immunohistochemistry-based molecular subtypes significantly correlated with recurrence-free survival (RFS) and disease-specific survival (DSS) in univariable ( = 0.006 and = 0.011, respectively) and multivariate cox regression analysis for DSS ( = 0.032). Used sequentially, the immunohistochemical- and NanoString-based classifiers provide faster turnaround time, lower cost per sample and simpler data analysis for ease of clinical implementation in routine diagnostics. - Source: PubMed
Publication date: 2022/10/07
Olkhov-Mitsel EkaterinaYu YanhongLajkosz KatherineLiu Stanley KVesprini DannySherman Christopher GDownes Michelle R - In recent years, RNA profiling has become an important technique in identifying the origin of human body fluids/tissues. Both perpetrators and victims can be identified from stains involving vaginal secretions (VS), such as sperm/VS mixtures left on condoms, bed sheets, or papers, etc. Body fluid specific RNA typing could link the source of body fluids/tissues and the identity of the donor. In this study, we aimed to trace the donor of VS in mixture stains using body fluid-specific mRNA markers and construct a coding single nucleotide polymorphism (cSNP) typing system for VS. We screened 8 VS-specific mRNA biomarkers (MUC4, SFTA2, CYP2A6, MYOZ1, FUT6, ESR1, SPINK5, and SERPINB13) encompassing 18 cSNPs. The RNA obtained from various body fluid/tissue samples was treated with reverse transcription polymerase chain reaction (RT-PCR) and then followed by a multiplex PCR and SNaPshot mini-sequencing assay. The detection limit of the assay was 0.08 ng RNA. For single-source body fluid, the positive cSNP typing was only shown in VS and void in non-VS body fluids/tissues. For laboratory-generated VS-containing mixtures, the minor VS contributor could be successfully detected at a ratio of 1:10-1:500. We also confirmed the concordance of DNA typing and mRNA typing for the cSNPs in this system. In summary, we established an 18-cSNP typing system for VS with high sensitivity and specificity, which could identify both the donor and the tissue origin simultaneously. This was shown to be a powerful tool for identifying the VS donor in those VS-containing mixture stains. - Source: PubMed
Publication date: 2022/04/02
Zhang XiuyingLi JingLiu JindingWang JiaqiLiu ZidongLiu YaoZhang Gengqian - Verrucous epidermal nevus (VEN) are keratinocytic epidermal nevus that appear at birth or in early childhood. They exhibit a range of manifestations, depending on the patient's age. VEN are rarely encountered in clinical practice, and the systemic and comprehensive clinical characteristics of VEN have not been well investigated. Furthermore, the association between tandem mass tag (TMT)-based quantitative proteomics and the VEN phenotype is still unclear. - Source: PubMed
Publication date: 2022/03/11
Yuan TaoLu Xiao-HongTang BiaoChang Xiao-LiHe Cai-FengWang JunCi Chao - Allergic dermatitis (AD) is a common and burdensome inflammatory skin disease, and diagnosis is challenging. This study was conducted to identify candidate genes for AD diagnosis and underlying molecular mechanisms. Gene expression profiles were obtained from datasets GSE121212, GSE130588, and GSE157194. Use differential analysis to identify differentially expressed genes (DEGs) between AD and control. Use enrichment analysis to identify potential molecular dysregulation mechanisms. Comprehensive least absolute shrinkage and selection operator (LASSO) logistic regression, receiver operator characteristic (ROC) curve, and logistic regression analysis are used to identify candidate genes. In addition, ssGSEA and ImmPort database were used to identify AD-related immune response abnormalities. In this study, a total of 60 common genes were identified. Enrichment analysis found that these genes are mainly involved in Th17 cell immune and complement and coagulation cascades. LASSO regression analysis identified 18 feature genes, and screened genes with AUC >0.75 were selected as candidate genes. Finally, PLA2G4D, IFI6, AGR3, IGFL1, SPRR3, ATP13A5, SERPINB13, KRT16, HAS3, and CH25H were recognized as candidate genes and may be able to diagnose AD. PLA2G4D, CH25H, and IFI6 may be risk factors for AD based on logistic analysis. Furthermore, we identified the abnormalities of immune response activation in AD patients. Interestingly, PLA2G4D, CH25H, and IFI6 had positive correlations with immune cells and signaling pathways. PLA2G4D, CH25H, and IFI6 may be candidate diagnostic genes for AD. This may be related to their promotion of abnormal immune activation, especially Th17 cell immune. - Source: PubMed
Publication date: 2022/01/04
Jin LeiDeng LinWang Wanchun