Ask about this productRelated genes to: PHYHIP antibody
- Gene:
- PHYHIP NIH gene
- Name:
- phytanoyl-CoA 2-hydroxylase interacting protein
- Previous symbol:
- DYRK1AP3
- Synonyms:
- KIAA0273, PAHX-AP
- Chromosome:
- 8p21.3
- Locus Type:
- gene with protein product
- Date approved:
- 2001-11-16
- Date modifiied:
- 2016-10-05
Related products to: PHYHIP antibody
Related articles to: PHYHIP antibody
- Histopathologic diagnosis of thin, invasive cutaneous melanoma (CM) is only 34-62% accurate. Therefore, we sought to develop a transcriptomic biomarker to distinguish benign from malignant melanocytic neoplasms. We generated a targeted RNA-Sequencing dataset (TempO-Seq) of benign nevi (BN; n = 50) and CM (Breslow depth ≤ 1.0 mm; n = 51) and demonstrated enrichment of immune-related pathways among the 450 differentially expressed genes. Next, we trained a putative transcriptomic biomarker in two datasets, including BN and CM, and one dataset with CM in association with a nevus, macrodissected into CM and nevus regions. We refer to the nevus portion of CM in association with a nevus as progressing nevi (PN), since these nevi progressed to CM. Principal component analysis showed that PN samples clustered in a component intermediate to BN and CM. Ordinal regularized regression selected PYGL, AP000845.1, PHYHIP, WSCD1, FBXO7, TRPM1, SLC4A4, NALCN, FRMD4B, HHATL, COL1A1, CRYM, EPOP, RGS1, KRT6C, IGHG1, CNTN1, MMP11, GZMM, AP001880.1, TTYH3, TMEM132A, and PRAME; these genes were consistently selected in 1000 models using data from bootstrap resamples and had a single model predictive accuracy of at least 0.90 (area under the receiver operator characteristics curve). Linear regression models fit with these 23 genes in the TempO-Seq data, and publicly available microarray datasets from BN, dysplastic nevi, and CM, showed high consistency in the magnitude and directionality of gene expression differences between nevi and CM. Furthermore, immunohistochemical staining showed consistent protein-level changes in MMP11 and PYGL. These results illuminate the potential for a transcriptomic biomarker to differentiate benign from malignant melanocytic neoplasms and improve the accuracy of melanoma diagnosis. - Source: PubMed
Publication date: 2025/10/03
Borden Elizabeth SHastings Colin TPrakash NithishKuo TylerTapia EdgarYozwiak MichaelSagerman PaulVargas de Stefano DanielleBuetow Kenneth HWilson Melissa ACuriel-Lewandrowski ClaraChow Hsiao-Hui SherryLaFleur Bonnie JHastings Karen Taraszka - Glioblastoma (GBM) is one of the most challenging malignancies in all of neoplasms. These malignancies are associated with unfavorable clinical outcomes and significantly compromised patient wellbeing. The immunological landscape within the tumor microenvironment (TME) plays a critical role in determining GBM prognosis. By mining data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases and correlating them with immune responses in the TME, genes associated with the immune microenvironment with potential prognostic value were obtained. Method We selected GSE16011 as the training set. Gene expression profiles were substrates scored by both ESTIMATE and xCell, and immune cell subpopulations in GBM were analyzed by CIBERSORT. Gene expression profiles associated with low immune scores were performed by lasso regression, Cox analysis and random forest (RF) to identify a prognostic model for the multiple genes associated with immune infiltration in GBM. Then we constructed a nomogram to optimize the prognostic model using GSE7696 and TCGA-GBM as validation sets and evaluated these data for gene mutation and gene enrichment analysis. - Source: PubMed
Publication date: 2025/07/24
Wu WenhuiLiu WenhaoLiu ZhonghuaLi Xin - The placenta is essential for pregnancy, and its dysfunction can harm both mother and fetus. To better understand placental physiology and its disruption in disease, we employ a multiomics approach (transcriptomics, metabolomics, and proteomics) combined with clinical data and histopathology from 321 placentas across conditions: severe fetal growth restriction (FGR), FGR with hypertension (FGR + HDP), severe preeclampsia (PE), and spontaneous preterm delivery (PTD). Cellular deconvolution reveals FGR + HDP placentas have more extravillous trophoblasts than controls (p < 0.0001). After adjusting for fetal sex and gestational age, we build condition-specific interomics networks and detect communities (a.k.a. subnetworks). In a control community, miR-365a-3p is the most connected node, whereas in FGR + HDP placentas, it is hypoxia-induced miR-210-3p. From this community, we identify a signature containing mRNAs implicated in placental dysfunction (e.g. FLT1, FSTL3, HTRA4, LEP, and PHYHIP), which distinguishes FGR + HDP placentas from those with other conditions, illustrating the power of interomics in understanding obstetric syndromes. - Source: PubMed
Publication date: 2025/08/18
Piekos Samantha NBarak OrenBaumgartner AndrewChu TianjiaoParks W TonyHadlock JenniferHood LeroyPrice Nathan DSadovsky Yoel - Traumatic brain injury (TBI) remains a critical neurosurgical challenge with limited therapeutic options. While basic fibroblast growth factor (bFGF) demonstrates neuroprotective and angiogenic potential, its clinical translation is hindered by nonspecific biodistribution and poor blood-brain barrier (BBB) penetration. In the present study, a brain-targeted recombinant protein (AcuP-bFGF) is developed by fusing bFGF with an acute peptide (SLYGSSRHTAPISF, named as AcuP), which enables Phyhip-mediated active transport across the compromised BBB while preserving the bioactivity of bFGF and prolonging its half-life in vivo. Employing Immunoprecipitation-mass spectrometry (IP-MS), phantom-CoA 2-hydroxylase-interacting protein (Phyhip) is identified as the molecular target of AcuP in TBI. This discovery defines a new targeting axis for TBI intervention that overcomes the traditional BBB penetration challenges. A comprehensive study demonstrates that Phyhip-targeted delivery of engineered bFGF exerts significant effects, including enhanced neuronal survival, increased neovascularization, restored BBB integrity, and suppressed neuroinflammation. These effects ultimately promote the recovery of motor function in rats with TBI. Transcriptomic profiling reveals dual-pathway modulation: pro-regenerative activation of NRG1-ErbB4-AKT signaling coupled with anti-inflammatory suppression of cGAS-STING-NFκB cascade. Therefore, the targeted delivery of AcuP-bFGF can represent a potential therapeutic approach for TBI, addressing both neuronal survival and neuroinflammation via Phyhip-mediated bFGF delivery and crosstalk in neuroimmune pathways. - Source: PubMed
Publication date: 2025/08/11
Nie WeihongHou XianglinSun ShuweiZhang MingxueZou XiaoSu KaiyanLi ZhuoranLi JingyiYu QingHuang XiaohongShi Chunying - There is limited knowledge on how diet affects the epigenome of children. Ultra-processed food (UPF) consumption is emerging as an important factor impacting health, but mechanisms need to be uncovered. We therefore aimed to assess the association between UPF consumption and DNA methylation in children. - Source: PubMed
Publication date: 2025/01/07
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