Mouse Anti-EAPP (E2F- associated phosphoprotein) Target Antigen EAPP (E2F- associated phosphoprotein) Host Isotype Mouse Ig Application WB, IP, IF
- Known as:
- Mouse Antibody toEAPP (E2F- associated phosphoprotein) Target Antigen EAPP (E2F- associated phosphoprotein) Host Isotype Mouse Ig Application Western Blot, IP, IF
- Catalog number:
- IQ545
- Product Quantity:
- 0.1ml (1mg/ml)
- Category:
- -
- Supplier:
- Imunquest
- Gene target:
- Mouse Anti-EAPP (E2F- associated phosphoprotein) Target Antigen EAPP Host Isotype Application
Related genes to: Mouse Anti-EAPP (E2F- associated phosphoprotein) Target Antigen EAPP (E2F- associated phosphoprotein) Host Isotype Mouse Ig Application WB, IP, IF
- Gene:
- E2F2 NIH gene
- Name:
- E2F transcription factor 2
- Previous symbol:
- -
- Synonyms:
- E2F-2
- Chromosome:
- 1p36.12
- Locus Type:
- gene with protein product
- Date approved:
- 1994-08-31
- Date modifiied:
- 2016-10-05
- Gene:
- E2F4 NIH gene
- Name:
- E2F transcription factor 4
- Previous symbol:
- -
- Synonyms:
- E2F-4
- Chromosome:
- 16q22.1
- Locus Type:
- gene with protein product
- Date approved:
- 1995-02-01
- Date modifiied:
- 2016-01-18
- Gene:
- E2F6 NIH gene
- Name:
- E2F transcription factor 6
- Previous symbol:
- -
- Synonyms:
- E2F-6
- Chromosome:
- 2p25.1
- Locus Type:
- gene with protein product
- Date approved:
- 1998-04-07
- Date modifiied:
- 2015-08-25
- Gene:
- EAPP NIH gene
- Name:
- E2F associated phosphoprotein
- Previous symbol:
- C14orf11
- Synonyms:
- BM036, FLJ20578
- Chromosome:
- 14q13.1
- Locus Type:
- gene with protein product
- Date approved:
- 2002-11-18
- Date modifiied:
- 2016-02-26
- Gene:
- TFDP3 NIH gene
- Name:
- transcription factor Dp family member 3
- Previous symbol:
- -
- Synonyms:
- HCA661, E2F-like, CT30
- Chromosome:
- Xq26.2
- Locus Type:
- gene with protein product
- Date approved:
- 2004-07-15
- Date modifiied:
- 2015-11-18
Related products to: Mouse Anti-EAPP (E2F- associated phosphoprotein) Target Antigen EAPP (E2F- associated phosphoprotein) Host Isotype Mouse Ig Application WB, IP, IF
Related articles to: Mouse Anti-EAPP (E2F- associated phosphoprotein) Target Antigen EAPP (E2F- associated phosphoprotein) Host Isotype Mouse Ig Application WB, IP, IF
- The cardio-renal-metabolic (CaReMe) syndrome captures the interplay among metabolic factors, kidney damage, and cardiovascular disease, constituting a progressive and preventable process. This educational practical review for primary care provides a practical stage-based (0-4) framework to facilitate patient detection, management, and follow-up. Opportunistic screening based on clinical history and simple measures (waist circumference, blood pressure, glucose, lipid profile), complemented by estimated glomerular filtration rate and albuminuria (chronic kidney disease classification) and by vascular risk estimation (SCORE2 or SCSORE2-OP by age), improves prognosis and reduces care burden. Management should be grounded in intensive lifestyle intervention as the cornerstone of care, with the addition of therapies with cardiorenal benefits in patients for whom they are indicated, based on an individualized assessment of risk and comorbidities. Implementing screening tools, adopting diagnostic and therapeutic algorithms, and ensuring effective coordination between primary and hospital care are essential to modify the natural course of this syndrome and to reduce cardiovascular events, slow kidney disease progression, and improve survival and quality of life. - Source: PubMed
Publication date: 2026/07/23
Egocheaga Cabello M IAlonso Álvarez PCastillo Moraga M JCebrián-Cuenca A MCols Sagarra CDrak YGarcía Ramos PObaya Rebollar J CAdán Gil F - Heterogeneous catalysis optimization relies on the coordinated selection of catalyst composition, synthesis procedure, and reaction conditions, yet the empirical links between these variables and catalytic performance remain scattered across individual studies. Here, we show that an interpretable machine learning (ML) framework can decode this complexity by integrating disparate literature data. We curate, to our knowledge, the first unified dataset from 200 papers spanning three decades of CO-to-methanol synthesis over Cu/ZnO-based catalysts, and derive a subset of apparent activation energy (E). Using the dataset, we optimize six ML models via Bayesian hyperparameter tuning and apply regularization strategies to mitigate overfitting. We then use SHAP to quantify the non-linear impact of catalyst properties, synthesis procedures, and reaction conditions on methanol selectivity, CO conversion, and methanol space-time yield. Crucially, this data-driven approach uncovers previously obscured operating windows for achieving high methanol productivity at milder pressures than conventionally assumed. Extending the ML framework to the E kinetic subset further identifies regime-sensitive signatures. A controlled experiment over commercial catalysts corroborates the positive space velocity-E relationship inferred from ML models. These results show how interpretable ML built on curated legacy experiments can support operating-window selection, hypothesis-driven kinetic experiments, and practical optimization of mature catalytic technologies. - Source: PubMed
Publication date: 2026/06/10
Yan MoYao ChengxiWu ShihaoAsif MuhammadNamari Nuning Anugrah PutriHa JoohwanWang ZiyangLee JaewonYu DayoungLee SeokchanLee SeungjaeYu HaoDuan XiaomingKim Taesung - Understanding how activation energies and entropies vary with electrode potential is central to interpreting electrocatalytic kinetics, yet temperature-dependent analyses often yield apparent "compensation effects" whose physical origin remains debated. Here, we model the hydrogen evolution reaction (HER) through both Volmer-Heyrovsky and Volmer-Tafel mechanisms to determine under which conditions compensation effects emerge-even when the entropic contribution to the activation barriers of the individual reaction steps is, by assumption, potential-independent. By simulating steady state currents across realistic potential and temperature ranges and extracting apparent Arrhenius parameters, we identify two general origins of compensation-like behavior: (i) shifts in the effective rate law arising from changes in coverage or in the rate-determining step, and (ii) the presence of multiple active sites with different equilibrium potentials of reaction steps. Both phenomena generate non-constant Tafel slopes and curvature in Arrhenius plots, producing Constable-plot (log ) relations that mimic intrinsic entropy-enthalpy compensation. Our results demonstrate that compensation effects in electrocatalysis can arise purely from kinetic coupling and site heterogeneity rather than from fundamental thermodynamic scaling, underscoring the need for caution when interpreting temperature-dependent kinetic data. We propose that meaningful mechanistic insight requires measurements on well-defined single-crystal electrodes within potential regions where Tafel slopes remain constant. - Source: PubMed
Publication date: 2026/09/17
Fingerhut JanSnitkoff-Sol Rifael ZAlbers MaximilianVos Rafaël Evan der Heijden OnnoKoper Marc T M - To study the impact of estetrol (E4), a novel native estrogen with selective tissue activity, on endometriosis-associated pelvic pain (EAPP) and global impressions of endometriosis pain. - Source: PubMed
Publication date: 2025/12/08
Harada TasukuNogami MasayoshiIizuka MasatoMeguro KannaManda ChrispinHirayama MasashiKobayashi Takao - Patient-specific image-based finite element analysis (FEA) offers a noninvasive method to estimate bone stiffness and strength, but its clinical translation requires thorough verification and validation. While previous studies provide resolution-dependent errors in trabecular bone morphometric indices, there remains a need to extend these analyses to include mechanical property predictions. This study examined microcomputed tomography (μCT) voxel size effects on trabecular bone morphometric analyses and predictions of apparent elastic modulus (Eapp) and trabecular stress. Voxel (v)- and geometry (g)-based FEA of trabecular bone cores under compression were compared. Convergence analyses were performed on element size and boundary conditions; and, bulk density, tissue density, and FEA were validated against experimental measurements. Trabecular bovine bone cores (n = 22, Ø10 mm × 10 mm) were tested quasi-statically under uni-axial compression below the yield limit, and μCT scanned with isotropic voxel sizes of 20 μm, 50 μm, and 100 μm. Increasing voxel size resulted in significant reductions in connectivity density, anisotropy, and trabecular number, while trabecular thickness increased. Predicted Eapp from both v-FEA and g-FEA were highly correlated with measurements (R2 = 0.8, p < 0.001). A maximum mean error of +6.35% was found in Eapp with 100 μm voxel size. Despite its high computational cost (∼120 min), 20 μm v-FEA was the most accurate for predicting Eapp and trabecular stress. Alternatively, both 50 μm v-FEA and g-FEA at low mesh density (h = 0.0011, where h is 1/√number of elements) predicted both Eapp and trabecular stress behavior with less than ±5% error in 10-20 min. Findings support efficient, accurate FEA strategies for predicting trabecular bone mechanics. - Source: PubMed
Zojaji MahsaYang BaixuanPloeg Heidi-Lynn