SLA1 Blocking Peptide
- Known as:
- SLA1 Blocking Peptide
- Catalog number:
- 33r-7045
- Product Quantity:
- USD
- Category:
- -
- Supplier:
- Fitzgerald industries international
- Gene target:
- SLA1 Blocking Peptide
Related genes to: SLA1 Blocking Peptide
- Gene:
- SLA NIH gene
- Name:
- Src like adaptor
- Previous symbol:
- -
- Synonyms:
- SLA1, SLAP-1, hSLAP, SLAP
- Chromosome:
- 8q24.22
- Locus Type:
- gene with protein product
- Date approved:
- 1995-08-11
- Date modifiied:
- 2016-12-13
Related products to: SLA1 Blocking Peptide
Related articles to: SLA1 Blocking Peptide
- Leaf functional traits are key indicators of plant resource use and environmental adaptation, playing a crucial role in regulating carbon cycling and ecosystem stability. However, how leaf traits respond to latitudinal gradients in natural and planted forests remains insufficiently understood. Based on 482 forest plots across China (105 natural and 377 planted forests) surveyed from 2008 to 2020, latitudinal variation in specific leaf area (SLA), leaf dry matter content (LDMC), leaf nitrogen (LN), and leaf phosphorus (LP) were examined using quadratic polynomial fitting, variance partitioning, CatBoost analysis, and structural equation modeling (SEM). Natural and planted forests exhibited marked structural differences: natural forests had higher species richness and high stand diversity, whereas planted forests were structurally simplified, younger, and strongly shaped by management. Planted forests showed pronounced non-monotonic variation along latitude, with SLA and LP peaking at mid-latitudes, whereas natural forests exhibited weaker and more gradual latitudinal changes. Climatic and soil factors jointly dominated trait variation in natural forests, while latitude and stand structure were the primary determinants in planted forests. SEM further revealed that latitude affected leaf traits through indirect pathways mediated by climate, soil, and stand factors, with opposite effects between forest types. Natural forests showed consistent and climate-dominated trait responses, with soil properties mediating these effects in predictable ways, reflecting long-term environmental filtering. In contrast, planted forests exhibited greater short-term environmental plasticity. These findings highlight divergent mechanisms of trait-environment relationships between natural and planted forests and underscore the importance of integrating stand structure and climate matching in planted forests management to enhance ecological resilience and carbon sequestration under global change. - Source: PubMed
Publication date: 2026/01/30
Su JianxiaoXu JialiYu MengyaoGao Jie - Apolipoprotein E (ApoE) ε4 status informs risk stratification and safety management for anti-amyloid therapies, but genotyping typically requires dedicated procedures, longer turnaround times, and higher costs compared with automated laboratory assays. We evaluated an automated plasma approach for ε4 stratification based on proteotyping, the quantification of isoform-specific ApoE proteins to infer ApoE genotype. - Source: PubMed
Publication date: 2026/05/21
Coraglia FedericoCecchetti GiordanoRugarli GiuliaSpinelli Edoardo GGhirelli AlmaPisano StefanoCanu ElisaFilippi MassimoAgosta Federica - Neurofilament light chain (NfL) is a sensitive biomarker of neuroaxonal injury detectable in blood and cerebrospinal fluid. Its concentrations are strongly influenced by age, yet no age-specific reference values have been established for the fully automated Lumipulse® platform, and no direct comparison between serum and plasma has been reported for this assay. - Source: PubMed
Publication date: 2026/05/21
Hanin ABahroun SChiodega VBonnefont-Rousselot DDel Mar Amador MSalachas FMariotto SDingeo GFoudil L - Identifying the factors mediating the resilience and invariability of plant communities and their associated ecosystem functions is critical to understand the ecological impacts of climate change. Prior work has explored how classic "community properties" (characterizing a community by species composition) regulate the resilience and invariability of ecosystem functioning. Mechanistically, community properties influence resilience and invariability via species' traits, and as a result, "functional properties" (characterizing a community via functional traits) might better predict these qualities. For example, functional traits associated with conservative resource-use strategies (e.g., short stature, low specific leaf area [SLA], high leaf dry matter content [LDMC]) are expected to promote both resistance to periods of stress or resource limitation and long-term invariability. While there is a strong conceptual basis linking functional traits and functional diversity to resilience and invariability, empirical evidence is thus far mixed, and sourcing accurate functional trait data may be challenging. Therefore, it is important to know if community properties are sufficient for evaluating the resilience and invariability of ecosystem functioning, or if functional properties provide necessary insights. Capitalizing on a decades-long study, we tested the effects of plant functional and community properties on the resistance of ecosystem functioning (a component of resilience) to drought or long-term invariability. Including functional properties did not improve our ability to explain primary productivity resistance to droughts but considerably improved our explanatory power for productivity invariability. Our results supported expectations that conservative trait strategies promote ecosystem functioning resistance to perturbations and temporal invariability. These findings highlight that the utility of functional properties in explaining the resilience and invariability of ecosystem functioning may depend on the attribute under consideration and that functional properties may primarily be useful for identifying the traits promoting resilience and invariability. - Source: PubMed
Perez Sierra BLau Jennifer A - Multiple sclerosis (MS) is a condition marked by considerable prognostic uncertainty, despite advances in therapeutic strategies and biomarker development. Current approaches to prognosis are largely focused on disease burden, failing to consider the influence of compensatory mechanisms, which complicate the evaluation of long-term outcomes. No unified framework currently exists to guide the integration of diverse prognostic factors, ranging from lesion burden and location to neuroaxonal injury, structural and cognitive reserve, lifestyle and digital biomarkers. To address this gap, a consortium from the Magnetic Resonance Imaging in MS (MAGNIMS) network has reviewed the latest research on MS prognosis and, in this Expert Recommendation, proposes a multiaxial conceptual model that incorporates the overall burden of damage, the topography of injury and the capacity for compensation. These three axes can be explored with different tools, such as clinical history and neurological examination, MRI-based tools, biofluid markers and additional techniques, including multimodal evoked potentials, optical coherence tomography and technology-based passive monitoring systems. The MAGNIMS consortium evaluated the existing tools, their limitations and potential future directions across each axis, proposing an integrated, non-prescriptive framework for individualized risk prediction. This work is intended not as a clinical guideline but as a conceptual roadmap to inform future research and refinement of prognostic models in MS. - Source: PubMed
Publication date: 2026/05/19
Prosperini LucaTortorella CarlaBarkhof FrederikBattistini LucaBodini BenedettaCalabrese MassimilianoChard DeclanCiccarelli OlgaDe Stefano NicolaEnzinger ChristianFilippi MassimoKappos LudwigKuhle JensMagliozzi RobertaRocca Maria AssuntaRovira AlexRuggieri SerenaSastre-Garriga JaumeSchoonheim Menno MSormani Maria PiaStankoff BrunoTintoré MarYousry TarekMontalban XavierGasperini Claudio