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Controlling Cellular Volume via Mechanical and Physical Properties of Substrate
2018
Biophysical Journal
The mechanical and physical properties of substrate play a crucial role in regulating many cell functions and behaviors. However, how these properties affect cell volume is still unclear. Here, we show that an increase in substrate stiffness, available spread area, or effective adhesion energy density results in a remarkable cell volume decrease (up to 50%), and the dynamic cell spreading process is also accompanied by dramatic cell volume decrease. Further, studies of ion channel inhibition
doi:10.1016/j.bpj.2017.11.3785
pmid:29414713
pmcid:PMC5985025
fatcat:x65ngizxezbpdispudigrt436e
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... osmotic shock suggest that these volume decreases are due to the efflux of water and ions. We also show that disrupting cortex contractility leads to bigger cell volume. Collectively, these results reveal the "mechanism of adhesion-induced compression of cells," i.e., stronger interaction between cell and substrate leads to higher actomyosin contractility, expels water and ions, and thus decreases cell volume.
SAMD9 Is Relating With M2 Macrophage and Remarkable Malignancy Characters in Low-Grade Glioma
2021
Frontiers in Immunology
Copyright © 2021 Ma, Zhang, Bao, Jiang and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). ...
doi:10.3389/fimmu.2021.659659
pmid:33936093
pmcid:PMC8085496
fatcat:7sxst3evk5bqpcqcyzjxrfe5nu
PLAUR Implies Immunosuppressive Features and Acts as an Unfavorable Prognostic Biomarker in Glioma
2021
The Oncologist
: Xiu Liu, Kenan Zhang Manuscript writing: Fan Zeng, Guanzhang Li Final approval of manuscript: Fan Zeng, Guanzhang Li, Xiu Liu, Kenan Zhang, Hua Huang, Tao Jiang, Ying Zhang
DISCLOSURES The authors ...
AUTHOR CONTRIBUTIONS Conception/design: Fan Zeng, Ying Zhang Provision of study material or patients: Guanzhang Li, Tao Jiang Collection and/or assembly of data: Xiu Liu, Hua Huang Data analysis and interpretation ...
doi:10.1002/onco.13750
pmid:33687124
pmcid:PMC8342593
fatcat:lmbnxncwabgvbktv6l7pu4l6gu
circRNA disease: a manually curated database of experimentally supported circRNA-disease associations
2018
Cell Death and Disease
Multilayer Perceptron Neural Network for Surface Water Extraction in Landsat 8 OLI Satellite Images
2018
Remote Sensing
Surface water mapping is essential for monitoring climate change, water resources, ecosystem services and the hydrological cycle. In this study, we adopt a multilayer perceptron (MLP) neural network to identify surface water in Landsat 8 satellite images. To evaluate the performance of the proposed method when extracting surface water, eight images of typical regions are collected, and a water index and support vector machine are employed for comparison. Through visual inspection and a
doi:10.3390/rs10050755
fatcat:kv7kxmxmizf2ppflfa6uaspida
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... ive index, the performance of the proposed algorithm in terms of the entire scene classification, various surface water types and noise suppression is comprehensively compared with those of the water index and support vector machine. Moreover, band optimization, image preprocessing and a training sample for the proposed algorithm are analyzed and discussed. We find that (1) based on the quantitative evaluation, the performance of the surface water extraction for the entire scene when using the MLP is better than that when using the water index or support vector machine. The overall accuracy of the MLP ranges from 98.25-100%, and the kappa coefficients of the MLP range from 0.965-1. (2) The MLP can precisely extract various surface water types and effectively suppress noise caused by shadows and ice/snow. (3) The 1-7-band composite provides a better band optimization strategy for the proposed algorithm, and image preprocessing and high-quality training samples can benefit from the accuracy of the classification. In future studies, the automation and universality of the proposed algorithm can be further enhanced with the generation of training samples based on newly-released global surface water products. Therefore, this method has the potential to map surface water based on Landsat series images or other high-resolution images and can be implemented for global surface water mapping, which will help us better understand our changing planet.
Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data for Chinese Glioma Patients
[article]
2020
bioRxiv
pre-print
Sci Data 2017;4:170024. 16 [3] Jiang T, Mao Y, Ma W, Mao Q, You Y, Yang X, et al. CGCG clinical practice guidelines for the 17 management of adult diffuse gliomas. ...
[ 1 ] 1 Jiang T, Tang GF, Lin Y, Peng XX, Zhang X, Zhai XW, et al. Prevalence estimates for primary 13 brain tumors in China: a multi-center cross-sectional study. ...
doi:10.1101/2020.01.20.911982
fatcat:adpvewaljbbspkbg3u353vrevi
The preparation of a difunctional porous β-tricalcium phosphate scaffold with excellent compressive strength and antibacterial properties
2020
RSC Advances
Silver nanoparticles and HAp particles were orderly coated on the surface of G-β-TCP scaffold. So the composite had good compression strength and antibacterial property.
doi:10.1039/d0ra02388d
pmid:35519120
pmcid:PMC9055648
fatcat:5fftfw6exjdwvnujobcsr26meq
The Prevalence of Immunologic Injury in Renal Allograft Recipients with De Novo Proteinuria
2012
PLoS ONE
Post-transplant proteinuria is a common complication after renal transplantation; it is associated with reduced graft and recipient survival. However, the prevalence of histological causes has been reported with considerable variation. A clinicopathological re-evaluation of post-transplant proteinuria is necessary, especially after dismissal of the term "chronic allograft nephropathy," which had been considered to be an important cause of proteinuria. Moreover, urinary protein can promote
doi:10.1371/journal.pone.0036654
pmid:22586485
pmcid:PMC3346732
fatcat:i7ni7edkkzag3fbzwmyiop7kvy
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... titial inflammation in native kidney, whether this occurs in renal allograft remains unknown. Factors that affect the graft outcome in patients with proteinuria also remain unclear. Here we collected 98 cases of renal allograft recipients who developed proteinuria after transplant, histological features were characterized using Banff scoring system. Cox proportional hazard regression models were used for graft survival predictors. We found that transplant glomerulopathy was the leading (40.8%) cause of post-transplant proteinuria. Immunological causes, including transplant glomerulopathy, acute rejection, and chronic rejection accounted for the majority of all pathological causes of proteinuria. Nevertheless, almost all patients that developed proteinuria had immunological lesions in the graft, especially for interstitial inflammation. Intraglomerular C3 deposition was unexpectedly correlated with the severity of proteinuria. Moreover, the severity of interstitial inflammation was an independent risk factor for graft loss, while high level of hemoglobin was a protective factor for graft survival. This study revealed a predominance of immunological parameters in renal allografts with post-transplant proteinuria. These parameters not only correlate with the severity of proteinuria, but also with the outcome of the graft.
New-Onset Postoperative Seizures in Patients With Diffuse Gliomas: A Risk Assessment Analysis
2021
Frontiers in Neurology
Copyright © 2021 Li, Li, Fang, Zhang, Huang, Wang, Zhang, Li, Zhang, Zhang, Jin, Zhou, Fan and Jiang. ...
doi:10.3389/fneur.2021.682535
fatcat:u6yx536u7ndgveti2oblncvp5i
Overexpression of CIP2A in clear cell renal cell carcinoma promotes cellular epithelial-mesenchymal transition and is associated with poor prognosis
2015
Oncology Reports
Cancerous inhibitor of protein phosphatase 2A (CIP2A) is a newly characterized oncoprotein involved in a variety of malignant tumors. However, its expression pattern and biological functions in clear cell renal cell carcinoma (ccRCC) remain unclear. In the present study, our findings demonstrated that expressions of CIP2A mRNA and protein in ccRCC tissues and cell lines were significantly higher than those in paired normal renal tissues or normal renal tubular epithelial cells (P<0.05). High
doi:10.3892/or.2015.4217
pmid:26327467
fatcat:3aiezmougrgqnj6xdhgb76aeii
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... 2A level was closely correlated with T stage (P=0.001), tumor size (P=0.009), lymph node metastasis (P=0.014), vascular invasion (P=0.018) and high Snail expression (P<0.001). Additionally, ccRCC patients with high CIP2A expression had significantly shorter overall survival (OS, P<0.001) and disease-free survival (DFS, P<0.001) when compared with patients with the low expression of CIP2A. On Cox multivariate analysis, CIP2A overexpression was an independent and significant prognostic factor for OS (P=0.010) and DFS (P=0.004). Furthermore, knockdown of the CIP2A expression significantly reduced ccRCC cell invasion, with decreased Snail and Vimentin expression, and increased E-cadherin expression. Taken together, our data identified CIP2A as a critical oncoprotein involved in cell invasion and epithelial mesenchymal transition (EMT), which could serve as a therapeutic target in ccRCC.
Further genetic diversification in multiple tumors and an evolutionary perspective on therapeutics
[article]
2015
bioRxiv
pre-print
The genetic diversity within a single tumor can be extremely large, possibly with mutations at all coding sites (Ling et al. 2015). In this study, we analyzed 12 cases of multiple hepatocellular carcinoma (HCC) tumors by sequencing and genotyping several samples from each case. In 10 cases, tumors are clonally related by a process of cell migration and colonization. They permit a detailed analysis of the evolutionary forces (mutation, migration, drift and natural selection) that influence the
doi:10.1101/025429
fatcat:ivt67ow2tvdwlbjbhmthgxcsb4
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... netic diversity both within and between tumors. In 23 inter-tumor comparisons, the descendant tumor usually shows a higher growth rate than the parent tumor. In contrast, neutral diversity dominates within-tumor observations such that adaptively growing clones are rarely found. The apparent adaptive evolution between tumors can be explained by the inherent bias for detecting larger tumors that have a growth advantage. Beyond these tumors are a far larger number of clones which, growing at a neutral rate and too small to see, can nevertheless be verified by molecular means. Given that the estimated genetic diversity is often very large, therapeutic strategies need to take into account the pre-existence of many drug-resistance mutations. Importantly, these mutations are expected to be in the very low frequency range in the primary tumors (and become frequent in the relapses, as is indeed reported (1-3). In conclusion, tumors may often harbor a very large number of mutations in the very low frequency range. This duality provides both a challenge and an opportunity for designing strategies against drug resistance (4-8).
Electronic structure of molecular beam epitaxy grown 1T'-MoTe2 film and strain effect
2019
Chinese Physics B
Atomically thin transition metal dichalcogenide films with distorted trigonal (1T^') phase have been predicted to be candidates for realizing quantum spin Hall effect. Growth of 1T^' film and experimental investigation of its electronic structure are critical. Here we report the electronic structure of 1T^'-MoTe_2 films grown by molecular beam epitaxy (MBE). Growth of the 1T^'-MoTe_2 film depends critically on the substrate temperature, and successful growth of the film is indicated by streaky
doi:10.1088/1674-1056/ab43ba
fatcat:b23nf5w645epdi4mspjjw5xgmy
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... tripes in the reflection high energy electron diffraction and sharp diffraction spots in low energy electron diffraction. Angle-resolved photoemission spectroscopy measurements reveal a metallic behavior in the as-grown film with an overlap between the conduction and valence bands. First principles calculation suggests that a suitable tensile strain along the a-axis direction is needed to induce a gap to make it an insulator. Our work not only reports the electronic structure of MBE grown 1T^'-MoTe_2 films, but also provides insights for strain engineering to make it possible for quantum spin Hall effect.
Atomic-Scale Deformations at the Interface of a Mixed-Dimensional van der Waals Heterostructure
2018
ACS Nano
Molecular self-assembly due to chemical interactions is the basis of bottom-up nanofabrication, whereas weaker intermolecular forces dominate on the scale of macromolecules. Recent advances in synthesis and characterization have brought increasing attention to twoand mixed-dimensional heterostructures, and it has been recognized that van der Waals (vdW) forces within the structure may have a significant impact on their morphology. Here, we suspend single-walled carbon nanotubes (SWCNTs) on
doi:10.1021/acsnano.8b04050
pmid:30016070
pmcid:PMC6117744
fatcat:gmdrang6rfh2zianwad7ytulci
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... ene to create a model system for the study of a 1D−2D molecular interface through atomic-resolution scanning transmission electron microscopy observations. When brought into contact, the radial deformation of SWCNTs and the emergence of long-range linear grooves in graphene revealed by the three-dimensional reconstruction of the heterostructure are observed. These topographic features are strain-correlated but show no sensitivity to carbon nanotube helicity, electronic structure, or stacking order. Finally, despite the random deposition of the nanotubes, we show that the competition between strain and vdW forces results in aligned carbon−carbon interfaces spanning hundreds of nanometers.
Predictive value of MGMT promoter methylation on the survival of TMZ treated IDH-mutant glioblastoma
2021
Cancer Biology and Medicine
O6methylguanine-DNA methyltransferase (MGMT) promoter methylation is a biomarker widely used to predict the sensitivity of IDH-wildtype glioblastoma to temozolomide therapy. Given that the IDH status has critical effects on the survival and epigenetic features of glioblastoma, we aimed to assess the role of MGMT promoter methylation in IDH-mutant glioblastoma. This study included 187 IDH-mutant glioblastomas and used 173 IDH-wildtype glioblastomas for comparison. Kaplan-Meier curves and
doi:10.20892/j.issn.2095-3941.2020.0179
pmid:33628600
pmcid:PMC7877176
fatcat:m6opw76hrrc2xjruefaxqmepjq
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... iate Cox regression were used to study the predictive effects. Compared with IDH-wildtype glioblastomas, IDH-mutant glioblastomas showed significantly higher (P < 0.0001) MGMT promoter methylation. We demonstrated that MGMT promoter methylation status, as determined by a high cutoff value (≥30%) in pyrosequencing, could be used to significantly stratify the survival of 50 IDH-mutant glioblastomas receiving temozolomide therapy (cohort A); this result was validated in another cohort of 25 IDH-mutant glioblastomas (cohort B). The median progression-free survival and median overall survival in cohort A were 9.33 and 13.76 months for unmethylated cases, and 18.37 and 41.61 months for methylated cases, and in cohort B were 6.97 and 9.10 months for unmethylated cases, and 23.40 and 26.40 months for methylated cases. In addition, we confirmed that the MGMT promoter methylation was significantly (P = 0.0001) correlated with longer OS in IDH-mutant patients with GBM, independently of age, gender distribution, tumor type (primary or recurrent/secondary), and the extent of resection. MGMT promoter methylation has predictive value in IDH-mutant glioblastoma, but its cutoff value should be higher than that for IDH-wildtype glioblastoma.
Expression profile analysis of antisense long non-coding RNA identifies WDFY3-AS2 as a prognostic biomarker in diffuse glioma
2018
Cancer Cell International
Increasing evidence has shown that long non-coding RNAs (lncRNAs) are important prognostic biomarkers and epigenetic regulators with critical roles in cancer initiation and progression. However, the expression and clinical prognostic value of antisense lncRNAs in diffuse glioma patients remain unknown. Methods: Here, we profiled differentially expressed antisense lncRNAs in glioma using RNA sequencing data from Chinese Glioma Genome Atlas database. Cox regression was performed to evaluate the
doi:10.1186/s12935-018-0603-2
pmid:30069164
pmcid:PMC6064140
fatcat:jvhagrjauffmdee2jk3z6ev6uq
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... ognostic value. Gene oncology (GO) and gene set enrichment analysis (GSEA) were used for functional analysis of antisense LncRNAs. Results: Expression profiling identified 169 aberrantly expressed antisense lncRNAs between lower grade glioma (LGG) (grade II and III) and glioblastoma multiforme (GBM), 113 antisense lncRNAs between LGG IDH-wt and IDHmut samples, and 70 antisense lncRNAs between GBM IDH-wt and IDH-mut samples, respectively. Among them, three antisense lncRNAs (WDFY3-AS2, MCM3AP-AS1 and LBX2-AS1) were significantly associated with prognosis and malignant progression of patients. WDFY3-AS2, the top one of downregulated antisense lncRNAs in GBM with fold change of 0.441 (P < 0.001), showed specific decreased expression in classical, mesenchymal, LGG IDH-wt, GBM IDH-wt or MGMT promoter unmethylated stratified patients. Chi square test found that WDFY3-AS2 was significantly associated with the clinical and molecular features of glioma. Univariate and multivariate Cox regression analysis indicated that WDFY3-AS2 was independently correlated with overall survival (OS) of patients. Kaplan-Meier analysis found that patients with high WDFY3-AS2 expression had longer OS than the low expression ones in the stratified cohorts. Additionally, GO and GSEA showed that gene sets correlated with WDFY3-AS2 expression were involved in regulation of synaptic transmission, glutamate receptor and TNF signaling pathway. Conclusion: Our findings provided convincing evidence that WDFY3-AS2 is a novel valuable prognostic biomarker for diffuse glioma.
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