Antibody: CD105, Clone: 2H6F11 , Isotype: IgG1, Conjugate: APC
- Known as:
- Antibody: CD105, Clone: 2H6F11 , Isotype: IgG1, Conjugate: Antigen presenting cellular
- Catalog number:
- 105A-100T
- Product Quantity:
- 100 test
- Category:
- -
- Supplier:
- Immunostep
- Gene target:
- Antibody: CD105 Clone: 2H6F11 Isotype: IgG1 Conjugate: APC
Related genes to: Antibody: CD105, Clone: 2H6F11 , Isotype: IgG1, Conjugate: APC
- Gene:
- ENG NIH gene
- Name:
- endoglin
- Previous symbol:
- ORW1, ORW
- Synonyms:
- END, HHT1, CD105
- Chromosome:
- 9q34.11
- Locus Type:
- gene with protein product
- Date approved:
- 1993-03-03
- Date modifiied:
- 2019-04-23
Related products to: Antibody: CD105, Clone: 2H6F11 , Isotype: IgG1, Conjugate: APC
Related articles to: Antibody: CD105, Clone: 2H6F11 , Isotype: IgG1, Conjugate: APC
- Low back disorders are highly prevalent and disproportionately affect women and older adults, yet the biomechanical mechanisms underlying these demographic disparities remain unclear. This study aimed to investigate how sex- and age-related anatomical differences in vertebral geometry influence lumbar spine loading patterns. - Source: PubMed
Publication date: 2026/06/18
Knapik Gregory GMendel EhudBourekas EricMarras William S - - Source: PubMed
Publication date: 2026/06/19
Lutsko James F - - Source: PubMed
Mingotti NicolaWoods Andrew W - The climate system's nonlinear dynamics is influenced by various external forcings and internal feedbacks, which can give rise to regional and even global tipping points that may lead to significant, potentially irreversible changes. Palaeoclimatic records reveal that Earth's climate has shifted between distinct equilibria, including a 'hothouse Earth' state with temperatures about 10 K higher than at present. However, a specific mechanism for a sudden tipping to an alternate stable state, several degrees warmer than the present climate, has yet to be presented. We introduce a temperature-carbon-vegetation (TCV) model comprising an energy balance model (EBM) of global temperature, coupled with global terrestrial and ocean CO2 dynamics, and with vegetation ecosystem change. Our model exhibits a new tipping mechanism that leads to a hothouse Earth under a high-emission scenario. Its simulations align with both observations and Intergovernmental Panel on Climate Change (IPCC)-class global climate models (GCMs) prior to tipping. The two processes that produce global tipping are: (i) temperature-albedo feedback owing to darkening of the terrestrial cryosphere by glacial microalgae and (ii) limits to vegetation adaptation that lead to reduced carbon absorption. This article is part of the theme issue 'Critical transitions and intelligent control in complex systems'. - Source: PubMed
Chavez ErikRombouts JanGhil Michael - We introduce a framework for analysing topological tipping in time evolutionary point clouds by extending the recently proposed topological optimal transport (TpOT) distance. While TpOT unifies geometrical, homological and higher-order relations into one metric, its global scalar distance can obscure transient, localized structural reorganizations during dynamic phase transitions. To overcome this limitation, we present a hierarchical dynamic evaluation framework driven by a novel topological and hypergraph reconstruction strategy. Instead of directly interpolating abstract network parameters, our method interpolates the underlying spatial geometry and rigorously re-computes the valid topological structures, ensuring physical fidelity. Along this geodesic, we introduce a set of multi-scale indicators: macroscopic metrics (topological distortion and persistence entropy) to capture global shifts, and a novel mesoscopic dual-perspective hypergraph entropy (node-perspective and edge-perspective) to detect highly sensitive, asynchronous local rewirings. We further propagate the cycle-level entropy change onto individual vertices to form a point-level topological field. Extensive evaluations of physical dynamical systems (Rayleigh-van der Pol limit cycles, double-well cluster fusion), high-dimensional biological aggregation (D'Orsogna model) and longitudinal stroke fMRI data demonstrate the utility of combining transport-based alignment with multi-scale entropy diagnostics for dynamic topological analysis. This article is part of the theme issue 'Critical transitions and intelligent control in complex systems'. - Source: PubMed
Wang YixinGao TingDuan Jinqiao