PGLS Antibody (OALA06446)
- Known as:
- PGLS Antibody (OALA06446)
- Catalog number:
- oala06446
- Product Quantity:
- USD
- Category:
- -
- Supplier:
- Aviva Systems Biology
- Gene target:
- PGLS Antibody (OALA06446)
Related genes to: PGLS Antibody (OALA06446)
- Gene:
- PGLS NIH gene
- Name:
- 6-phosphogluconolactonase
- Previous symbol:
- -
- Synonyms:
- 6PGL
- Chromosome:
- 19p13.2
- Locus Type:
- gene with protein product
- Date approved:
- 2000-01-20
- Date modifiied:
- 2015-08-25
Related products to: PGLS Antibody (OALA06446)
Related articles to: PGLS Antibody (OALA06446)
- Stereotactic radiosurgery and photon therapy for the locoregional management of head and neck paragangliomas (HNPGLs) have been shown to provide long-term tumor control and symptomatic relief. We report proton therapy (PT) outcomes for HNPGLs at a single institution and describe stereotactic radiosurgery (SRS) and intensity-modulated radiation therapy (IMRT) outcomes as institutional context for modality selection. The primary goal is to report outcomes including tumor control, toxicity, and overall recovery, while evaluating differences across radiation modalities. - Source: PubMed
Publication date: 2026/08/17
Abbasi Aleena ALustig Robert ADorsey Jay FGrady Sean MLee John Y KKurtz Goldie AShabason Jacob ECengel Keith ABigelow Douglas CBrant Jason ARuckenstein Michael JRassekh Christopher HNathanson Katherine LRaper AnnaHuan YonghongAlonso-Basanta Michelle - Recognizing lineages is a central challenge in plant systematics, making it essential to explore multiple analytical tools. In this context, this study investigates how frond shape can assist in discriminating against lineages within the Scaly clade of Microgramma (Polypodiaceae), and tests whether the integration of multiple lines of evidence enables a more consistent recognition of lineages than exclusively macromorphological approaches. - Source: PubMed
Publication date: 2026/09/10
Mendonça Niksoney AzevedoAljahara JulianaSilva D Victor Souza EAlmeida Thaís Elias - Pheochromocytomas and paragangliomas (PGLs) are rare neural crest-derived neuroendocrine neoplasms with highly variable clinical behavior and limited therapeutic options in metastatic disease. From a pathology perspective, diagnosis and risk assessment have traditionally relied on histomorphology and immunohistochemistry. However, conventional parameters remain insufficient to reliably predict biological behavior. Over the past decade, genomic and transcriptomic profiling have refined molecular classification, yet genotype-based stratification alone does not fully explain heterogeneity in tumor progression, immune composition, or treatment response. This review examines the evolution of experimental and analytical approaches to PGLs through a pathology-centered lens. We first discuss how advances in developmental biology and molecular classification have reshaped understanding of tumor heterogeneity beyond morphology. We then highlight the growing recognition of the tumor microenvironment as a critical determinant of tumor behavior. In this context, spatially resolved protein profiling, including multiplex immunofluorescence (mIF), has emerged as an important extension of traditional immunohistochemistry, enabling simultaneous visualization of immune and tumor cell populations within preserved tissue architecture. These approaches provide functional insight that cannot be derived from bulk genomic analyses alone. Despite these advances, translation into therapeutic innovations has been hampered by the lack of physiologically relevant human model systems. Early two-dimensional cell cultures and rodent models provided foundational mechanistic insights but fail to recapitulate human tumor architecture and microenvironmental interactions. The recent establishment of patient-derived PGL organoids represents a significant step forward, preserving chromaffin lineage features and enabling ex vivo pharmacologic interrogation. Taken together, the progression from histopathological assessment to spatial immune profiling and advanced three-dimensional human modeling defines a conceptual framework in which functional therapeutic testing may become integrated into future pathology-driven translational research in PGLs. - Source: PubMed
Publication date: 2026/09/03
de Bresser Carolijn J Mde Krijger Ronald R - Toll-like receptors (TLRs) are evolutionarily conserved pattern recognition receptors that play a crucial role in the innate immune response of animals. Their evolutionary dynamics are closely linked to pathogen pressure and environmental factors. At present, the relationship between the evolution of genes and climatic factors remains poorly understood. In this study, we identified - genes from 42 rodent species with relatively restricted distribution ranges. Phylogenetic comparative analyses, including phyANOVA and PGLS, were conducted to assess the relationship between evolutionary rates ( values) and 10 climatic factors. The results indicated that different genes exhibit distinct climate-associated patterns. Notably, increased precipitation-related factors were positively associated with the evolutionary rates of and , whereas temperature-related factors (Mean Diurnal Range) were positively correlated with the evolutionary rates of and . We hypothesized that both precipitation- and temperature-related factors may indirectly influence the evolution of genes by affecting the diversity and community composition of environmental pathogens. These results may enhance our understanding of the evolution of immune genes in animals through the perspective of potential ecological associations. - Source: PubMed
Publication date: 2026/09/01
Zhao ChaoXia TianLiu GuangshuaiLiu ZhaoDing XingleiDai ShuoZhang Honghai - Maximum longevity varies widely among marine-occurring fishes, but the form of its relationship with body size and the contribution of broad environmental gradients remain uncertain. We analysed 757 species, using maximum length as the primary size metric and completed mass only in sensitivity analyses. A quadratic length model improved fit over a linear comparator and captured broad attenuation in the size-longevity association. Maximum depth was positively associated with log10 maximum longevity after accounting for this curvature (estimate per 1000 m = 0.0692, 95% CI 0.0312 to 0.1072, p < 0.001). Latitude estimates varied among range-based metrics and model specifications, and the latitude term performed less consistently when entire families and orders were withheld. None of the group or continuous-interaction contrasts met the defined FDR threshold of q < 0.05. FishTree matched 605 species but excluded every elasmobranch in the canonical dataset; branch-length phylogenetic generalized least squares (PGLS) therefore provides a matched-subset sensitivity rather than full phylogenetic coverage. Linear contrasts from 5000 species-level bootstrap resamples and nonlinear quantile sensitivities did not indicate broad upper-tail steepening. Teleostei-only, broad-Class-adjusted and Family-clustered analyses retained a positive maximum-depth coefficient, whereas latitude was less stable under clustered uncertainty. Body size and maximum depth thus provide the most consistent macroecological associations with maximum longevity. Latitude remains exploratory, and the data do not identify causal mechanisms. - Source: PubMed
Publication date: 2026/08/30
Li LongyuXu Zenghui