Human PDGF-AA Protein Vector: HEK293
- Known as:
- Human PDGF-AA Protein Vector: HEK293
- Catalog number:
- 10181-HCyH
- Product Quantity:
- 10μg
- Category:
- -
- Supplier:
- Provo
- Gene target:
- Human PDGF- Protein Vector: HEK293
Related genes to: Human PDGF-AA Protein Vector: HEK293
- Gene:
- PDGFA NIH gene
- Name:
- platelet derived growth factor subunit A
- Previous symbol:
- -
- Synonyms:
- PDGF1, PDGF-A
- Chromosome:
- 7p22.3
- Locus Type:
- gene with protein product
- Date approved:
- 1986-01-01
- Date modifiied:
- 2016-10-05
- Gene:
- PDGFRA NIH gene
- Name:
- platelet derived growth factor receptor alpha
- Previous symbol:
- -
- Synonyms:
- CD140a, PDGFR2, GAS9
- Chromosome:
- 4q12
- Locus Type:
- gene with protein product
- Date approved:
- 1989-05-19
- Date modifiied:
- 2019-04-23
- Gene:
- PDGFRB NIH gene
- Name:
- platelet derived growth factor receptor beta
- Previous symbol:
- PDGFR
- Synonyms:
- JTK12, CD140b, PDGFR1
- Chromosome:
- 5q32
- Locus Type:
- gene with protein product
- Date approved:
- 2001-06-22
- Date modifiied:
- 2016-10-05
Related products to: Human PDGF-AA Protein Vector: HEK293
Related articles to: Human PDGF-AA Protein Vector: HEK293
- Long-term survival after heart transplantation (HTx) is limited by cardiac allograft vasculopathy (CAV). The pathogenesis of CAV is poorly understood, and treatment has not yet been well-established. In this exploratory study, we aimed to identify novel immune and nonimmune biomarkers correlated to CAV development, and biomarkers predicting CAV-related events. - Source: PubMed
Publication date: 2024/05/13
Dalsgaard Rasmus GebauerClemmensen Tor SkibstedEiskjær HansPoulsen Steen HvitfeldtBjerre Kamilla Pernille - The Atlantic salmon (Salmo salar) aquaculture industry must mitigate the impacts of rising ocean temperatures and the increased prevalence/severity of marine heat waves. Therefore, we investigated the genetic architecture and gene expression (transcriptomics) responsible for determining a salmon's upper thermal tolerance. - Source: PubMed
Publication date: 2025/03/24
Ignatz Eric HAllen Melissa SHall Jennifer RSandrelli Rebeccah MFast Mark DPerry Guy M LRise Matthew LGamperl A Kurt - G-quadruplexes (G4s) are noncanonical DNA or RNA secondary structures involved in numerous biological processes. Their recognition by G4-related proteins (G4RPs) is essential for modulating biological pathways, particularly those associated with transcription and cancer progression. Identifying G4RPs is crucial for understanding their role in diseases like cancer, as these proteins may represent promising therapeutic targets. In this study, a proteomic-based fishing-for-partners approach was employed to identify putative interactors of G4-forming DNA sequences from the promoter regions of cancer-related genes DAP, HIF-1α, JAZF-1, and PDGF-A. A total of eighty-six G4RPs were identified, including nineteen known RNA and/or DNA G4 interactors. Notably, fourteen proteins were identified as potential interactors of all four investigated G4-forming DNA, seven of which were novel G4RPs. Direct interactions with G4s were validated for five of these proteins (AHNAK, GAPDH, HNRNP M, LMNA, and PPIA) using surface plasmon resonance experiments, which showed nanomolar binding affinities. This study not only validated known G4RPs but also led to the discovery of new G4/protein interactions, providing the basis for further investigation into their biological significance and potential implications in disease-associated pathways. - Source: PubMed
Publication date: 2025/03/01
Marzano SimonaPinto GabriellaDi Porzio AnnaAmato JussaraRandazzo AntonioAmoresano AngelaPagano Bruno - Major depression disorder (MDD) and atopic dermatitis (AD) are distinct disorders involving immune inflammatory responses. This study aimed to investigate the comorbid relationship between AD and MDD and to identify possible common mechanisms. We obtained AD and MDD data from the Gene Expression Omnibus (GEO) database. Differential expression analysis and the Genecard database were employed to identify shared genes associated with inflammatory diseases. These shared genes were then subjected to gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Hub genes were selected based on the protein-protein interactions using CytoHubba, and key regulatory genes were identified through enrichment analysis. Subsequently, we conducted immune infiltration and correlation analyses of the shared genes in AD. Finally, we employed three machine learning models to predict the significance of shared genes. A total of 17 shared genes were identified in the AD_Inflammatory_MDD dataset (S100A9, PTGER2, PI3, SNCA, DAB2, PDGFA, FSTL1, CALD1, XK, UTS2, DHRS9, PARD3, NFIB, TMEM158, LIPH, RAB27B, and SH3BRL2). These genes were associated with biological processes such as the regulation of mesenchymal cell proliferation, cellular ketone metabolic processes, and glial cell differentiation. The neuroactive ligand-receptor interaction, IL-17 signaling, and Rap1 signaling pathways were significantly enriched in KEGG analysis. SNCA, S100A9, SH3BGRL2, RAB27B, TMEM158, DAB2, FSTL1, CALD1, and XK were identified as hub genes contributing to comorbid AD and MDD development. The three machine learning models consistently identified SNCA and PARD3 as important biomarkers.SNCA, S100A9, SH3BGRL2, RAB27B, TMEM158, DAB2, FSTL1, CALD1, and XK were identified as significant genes contributing to the development of AD and MDD comorbidities. Immune infiltration analysis showed a notable increase in the infiltration of various subtypes of CD4 + T cells, suggesting a potential association between the development of skin inflammation and the immune response. Across different machine learning models, SNCA and PARD3 consistently emerged as important biomarkers, providing a new direction for clinical diagnosis and treatment. - Source: PubMed
Publication date: 2025/02/15
Jiang HanGong BizhenYan ZhaoxianWang PengHong Jing - Wounds, disruptions in normal anatomy, are classified as acute or chronic. The choice of wound treatment relies significantly on dressing materials. Electrospun nanofibrous materials offer promising applications in wound healing, featuring a substantial surface area, close mimicry of the natural extracellular matrix, and adjustable water resistance, air permeability, and drug release. This research endeavors to formulate an innovative three-layered nanofibrous wound dressing using the electrospinning technique with the primary objectives of enhancing patient well-being, exhibiting antimicrobial characteristics, and expediting wound healing. The designed dressing comprises nanofibers of polyurethane (PU), quercetin (Q)-loaded polyethylene glycol (PEG), polyvinyl alcohol (PVA), and gelatin. Characterization of individual layers and the integrated wound dressing was conducted through SEM and FT-IR analyses. The efficacy of the nanofibrous wound dressing was assessed through in vitro human cell culture and in vivo rat wound models. The anti-toxic effects of nanofiber wound dressing on human epithelial and keratin cells have been proven. In vitro wound models in 24-well plates were utilized to assess the impact on wound healing rates. Photographic documentation of wound closure was performed at the different treatment hours, revealing complete closure of the wounds by the end of the 48th hour. Rats with 2 × 1 cm wounds were treated with the nanofibrous dressings, and wound healing progress was observed over a 14-day period. qRT-PCR was employed to analyze MMP-9, TIMP1, COL1A1, PDGFA, and VEGFC mRNA expressions. With its contemporary design surpassing existing treatments, the nanofiber wound dressing stands out for its wound-healing acceleration and antibacterial properties. - Source: PubMed
Bilgiseven Irem MukaddesDeveci IlyasKismet KemalKarakurt Serdar