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•LDHs-X (F, Cl, Br and I) showed larger surface area and narrower pore size distribution than LDHs-NO3.•The structural stability: LDHs-NO3>LDHs-F>LDHs-Cl>LDHs-Br>LDHs-I.•Band gap ...values: LDHs-NO3(2.81eV)>LDHs-F(2.74)>LDHs-Cl(2.65)>LDHs-Br(2.58)>LDHs-I(2.52eV).•HCB removal: 68.4%, 71.3%, 79.5%, 85.7% for LDHs-F, LDHs-Cl, LDHs-Br, LDHs-I; 55.9% for LDHs-NO3.•HCB photodegradation path and intermediates were given based on GC/MS and dissociation energy.
In this paper, we synthesized five different types of ZnCr layered double hydroxides with different anions (F−, Cl−, Br−, I− and NO3−). A thorough determination of the structure, chemical composition and other physical and chemical properties of the synthesized LDHs materials were done by techniques such as XRD, FTIR, BET, ICP-AES and UV–vis. The photocatalytic degradation of hexachlorobenzene reaction showed that different anions have largely influence on the reactivity and selectivity of the LDHs. The structure stability difference of the LDHs was explained and compared based on the difference of the following physical properties such as Mulliken bonding population, hydrogen bonding and density of states, which were calculated based on DFT theory. It was found that the photocatalytic performance of these LDHs was highly related to their structure stability. In addition, the HCB degradation mechanism was also analyzed by combining GC–MS data and the dissociation energy calculation.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK, ZRSKP
RTEL1 (regulator of telomere elongation helicase 1; OMIM 608833) gene polymorphisms were linked to lung cancer (LC) susceptibility in a cancer genome-wide association study (GWAS) Here, we assessed ...whether seven previously reported RTEL1 polymorphisms influenced LC risk in Han Chinese population. All study samples (554 LC cases and 696 cancer-free controls) were collected from the Affiliated Hospital of Xizang Minzu University in China. We assessed associations between SNPs and LC risk using various several genetic models (codominant, dominant, recessive, overdominant, and additive). Whereas rs2738780 showed a protective effect against LC (Odds ratio (OR) = 0.80 ;95% confidence interval (CI): 0.638 = 0.998; p = 0.048), rs7261546(OR = 4.16; 95% CI: 1.35-12.82; p = 0.007), rs6062299(OR=5.08; 95% CI: 1.43-18.10; p = 0.005) and rs3787098(OR = 5.10; 95% CI: 1.43-18.15; p = 0.004) were all associated with increased LC susceptibility (recessive model). Haplotype analysis suggested that ''CTC'' was associated with a 0.8-fold decrease in LC risk (OR = 0.80, 95% CI, 0.63-1.00; Pearson's p = 0.05). These findings suggest a potential association between RTEL1 polymorphisms and LC risk in a Chinese Han population.
•Most RUNX1 mutations outside the RHD are nonsense and frameshift and produce proteins lacking critical RUNX1 regulatory domains.•The truncation of RUNX1 results in the dysregulation of hematopoietic ...and oncogenic pathways through changes in enhancer-promoter networks.
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The transcription factor RUNX1 is a master regulator of hematopoiesis and is frequently mutated in myeloid malignancies. Mutations in its runt homology domain (RHD) frequently disrupt DNA binding and result in loss of RUNX1 function. However, it is not clearly understood how other RUNX1 mutations contribute to disease development. Here, we characterized RUNX1 mutations outside of the RHD. Our analysis of the patient data sets revealed that mutations within the C-terminus frequently occur in hematopoietic disorders. Remarkably, most of these mutations were nonsense or frameshift mutations and were predicted to be exempt from nonsense-mediated messenger RNA decay. Therefore, this class of mutation is projected to produce DNA-binding proteins that contribute to the pathogenesis in a distinct manner. To model this, we introduced the RUNX1R320∗ mutation into the endogenous gene locus and demonstrated the production of RUNX1R320∗ protein. Expression of RUNX1R320∗ resulted in the disruption of RUNX1 regulated processes such as megakaryocytic differentiation, through a transcriptional signature different from RUNX1 depletion. To understand the underlying mechanisms, we used Global RNA Interactions with DNA by deep sequencing (GRID-seq) to examine enhancer-promoter connections. We identified widespread alterations in the enhancer-promoter networks within RUNX1 mutant cells. Additionally, we uncovered enrichment of RUNX1R320∗ and FOXK2 binding at the MYC super enhancer locus, significantly upregulating MYC transcription and signaling pathways. Together, our study demonstrated that most RUNX1 mutations outside the DNA-binding domain are not subject to nonsense-mediated decay, producing protein products that act in concert with additional cofactors to dysregulate hematopoiesis through mechanisms distinct from those induced by RUNX1 depletion.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Intervertebral disc herniation, spinal stenosis, and degenerative disc are spinal diseases with a high incidence. Accurate segmentation of spinal images is crucial for the diagnosis and treatment of ...related diseases. This paper proposes a multi-scale information aggregation U-shaped network (MIAU-Net) for spinal magnetic resonance images. MIAU-Net is a novel semantic segmentation model which improved on the U-Net. This model gets better segmentation performance by redesigning the encoder-decoder and the skip connection module. Specifically, the proposed multi-scale information aggregation module is used to capture features of different scales through different receptive fields. While the redesigned skip connection module can speed up the training process and alleviate the problem of gradient disappearance. The model is evaluated using the publicly available SpineSagT2Wdataset3 spine image dataset. Evaluation metrics include the Dice similarity coefficient (DSC), intersection over union, true positive rate, positive predictive value, and F1 score. The DSC score can reach 90.41%. Comparing with other state-of-the-art networks can verify that this method realizes more accurate semantic segmentation of the spine.
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