Ask about this productRelated genes to: FANCL antibody
- Gene:
- FANCL NIH gene
- Name:
- FA complementation group L
- Previous symbol:
- PHF9
- Synonyms:
- FLJ10335, FAAP43, Pog
- Chromosome:
- 2p16.1
- Locus Type:
- gene with protein product
- Date approved:
- 2003-05-22
- Date modifiied:
- 2019-04-23
Related products to: FANCL antibody
Related articles to: FANCL antibody
- To develop high-safety and high-performance olivine LiMnFePO/C cathodes for lithium-ion batteries, a scalable synthetic route is established by employing KMnO as the oxidant to prepare the MnFePO·HO precursor through a reverse-titration co-precipitation strategy. Nanosized spherical MnFePO·HO with a uniform elemental distribution and consistent valence states is successfully obtained, effectively suppressing Mn disproportionation in an aqueous co-precipitation system. During lithiation, Li inserts into the initially vacant M1 sites, accompanied by the reduction of Mn/Fe to Mn/Fe, thereby converting trivalent MnFePO·HO into olivine LiMnFePO. The sand-milling spray-drying (SMSD) process further enables the formation of quasi-spherical secondary particles with a narrow particle-size distribution and a continuous highly graphitized carbon coating layer, in clear contrast to the irregular agglomerates and nonuniform carbon coatings generated by conventional ball-milling/stirring-drying treatment. As a result, the L-SMSD sample delivers a high discharge specific capacity of 153.5 mAh g at 0.1C, an excellent rate capacity of 120.5 mAh g at 5C, and outstanding cycling stability with a capacity retention of 95.15% after 450 cycles at 1C. Kinetic analysis further reveals that L-SMSD exhibits reduced polarization, enhanced Li diffusivity, and improved interfacial reaction kinetics. This work provides a practical route for the industrial-scale production of LiMnFePO/C cathodes and is of great significance for the development of next-generation lithium-ion batteries. - Source: PubMed
Publication date: 2026/06/29
Yang HongweiHu LiuquanHu ZhuangYi WentianMu ZheWu JieXie ZeweiFan Changling - The northern pike () is an economically important cold-water fish species in northern China. It exhibits pronounced sexual dimorphism, yet the molecular mechanism underlying its sex differentiation remains unclear, which hinders the development of aquaculture. Whole-transcriptome sequencing is a powerful approach for screening sex-related genes; however, no such study has been reported for this species to date. In this study, gonadal tissues from three female and three male were collected for whole-transcriptome sequencing. A total of 14,941 differentially expressed messengerRNAs, 119 differentially expressed microRNAs, 229 differentially expressed circularRNAs, and 2055 differentially expressed long non-codingRNAs were identified. Functional enrichment analysis revealed that the differentially expressed genes were significantly enriched in pathways closely associated with sex differentiation, such as steroid hormone biosynthesis and oocyte meiosis. Several key sex-biased genes were identified, including female-biased genes (, , ) and male-biased genes (, , ). Furthermore, a competing endogenous RNA (ceRNA) regulatory network involving dre-miR-107b was constructed, which may represent a candidate for further investigation into sex differentiation in . This study provides the first comprehensive whole-transcriptome dataset of female and male gonads in , identifies key sex-biased genes and core pathways involved in its sex differentiation, and thereby identifies the dre-miR-107b-centered ceRNA network and key sex-biased genes (, , , , , ) as core molecular players in sex differentiation of this species. - Source: PubMed
Publication date: 2026/06/08
Zhang JunjieWang ZhelanXiao QianFu XinanLi SitongChen ShuhanCao YangZhao XuefeiZhang Yu - Tablet development requires simultaneous optimization of multiple quality attributes under limited experimental budgets, yet formulation-property relationships are highly nonlinear in mixture systems. To support pre-formulation decision-making prior to extensive tablet prototyping, this study proposes an AI framework that organizes formulation and process data together with raw-material property records into a reusable database, and enriches conventional composition/process features with physically motivated mixture descriptors derived from raw-material properties and formulation/process settings. Mixture-level scalar descriptors are constructed by composition-weighted aggregation of material properties, and particle size distribution (PSD) is incorporated via a compact set of summary statistics computed from composition-weighted mixture PSDs. Three feature sets are compared: (i) Materials + Processes (MP), (ii) MP with scalar Descriptors (MPD), and (iii) MPD with PSD summaries (MPDD). Five target properties are modeled: hardness, disintegration time, flow function, cohesion, and thickness. We train and evaluate Random Forest, Extra Trees Regressor, Lasso, Partial Least Squares, Support Vector Regression, and a multi-branch neural network that processes the three feature blocks separately and concatenates them for prediction. For interpolation assessment, repeated Train/Dev/Test splitting (5:3:2) across multiple random seeds is used, and the effect of feature augmentation is quantified by paired RMSE improvements with bootstrap confidence intervals and paired Wilcoxon signed-rank tests. To assess robustness under practical formulation updates, rolling-origin time-series splits are employed and Applicability Domain indicators are computed to characterize out-of-distribution coverage. Across interpolation evaluations, mixture-descriptor augmentation (MPD/MPDD) improves hardness and disintegration time in most settings, whereas gains for flow function are smaller and cohesion/thickness show mixed effects under limited sample sizes. Under extrapolation-oriented evaluation, the descriptors can improve hardness but may degrade disintegration-time prediction under covariate shift, emphasizing the need for careful descriptor selection and dimensionality control when deploying pre-formulation predictors. - Source: PubMed
Publication date: 2026/04/08
Hamaguchi MasuguAdachi TomokiArai Noriyoshi - Medulloblastoma (MB) is a heterogeneous pediatric brain tumor characterized by distinct molecular subtypes. Although genomics and transcriptomics have improved subtype classification and informed targeted therapies, the clinical utility of integrated molecular profiling in real-world settings remains incompletely defined. - Source: PubMed
Song JiweiHan TiantianChen SiqiChen DongshengLiu Ziying - BACKGROUND: Ovarian cancer is the deadliest gynecologic malignancy largely due to late diagnosis. The present study aims to provide a comprehensive assessment of clinically relevant and potentially actionable germline and somatic pathways in ovarian cancer through parallel analysis of inherited susceptibility and tumor-specific genomic alterations, within the constraints of targeted NGS panel design. METHODS: We analyzed 33 Bulgarian women with histologically confirmed ovarian cancer. Next‑generation sequencing (NGS) was performed on germline DNA from peripheral blood and tumor DNA from FFPE tissue. Variants were described per HGVS, classified by ACMG/AMP (germline) and AMP/ASCO/CAP (somatic), and reviewed in ClinVar/COSMIC. Descriptive statistics were generated in Python. RESULTS: All pathogenic and likely pathogenic germline and somatic variants are summarized in comprehensive tables. Somatic pathogenic TP53 variants were identified in 27/33 patients (81.8%). Germline pathogenic/likely pathogenic variants were detected in 9/33 (27.3%), most commonly in BRCA1 (3/33; 9.1%), with single cases in ATM, RAD51D, NBN, FANCL and WRN. One patient fulfilled criteria for multi‑locus inherited neoplasia alleles syndrome (MINAS). High‑grade serous ovarian histological subtype predominated (75.8%). CONCLUSIONS: Dual-sample NGS enables an integrated evaluation of hereditary risk and tumor-associated actionable alterations in ovarian cancer. While comprehensive interrogation of all therapeutic pathways is limited by panel scope, this approach supports clinically meaningful stratification and highlights areas requiring expanded molecular testing. - Source: PubMed
Publication date: 2026/03/25
Kamburova ZornitsaPopovska SavelinaTsvetkov Chavdar