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LncRNA LINC01772 promotes metastasis and EMT process in cervical cancer by sponging miR-3611 to relieve ZEB1
No full textCervical cancer (CC), has been identified as one of the most frequent malignant tumors all over the world,
with high mortality in females. A growing number of investigations have confirmed that long noncoding RNAs
(lncRNAs) play a crucial role in the progression of multiple cancers. Nonetheless, the biological function and regulatory
mechanism of LINC01772 in CC haven’t been explored so far. In this study, LINC01772 expression was found to be
upregulated in tissues and cells of CC. Knocking down LINC01772 suppressed CC cell proliferation, migration and
epithelial-mesenchymal transition (EMT) process. Through molecular mechanism assays, LINC01772 was verified
to be bound with miR-3611 and LINC01772 acted as a sponge for miR-3611. Zinc finger E-box binding homeobox 1
(ZEB1) was a downstream target gene of miR-3611. ZEB1 was negatively regulated by miR-3611 but positively regulated
by LINC01772. Rescue assays confirmed that miR-3611 inhibitor or ZEB1 overexpression offset the inhibitive effect
of LINC01772 depletion on cell proliferation, migration and EMT process in CC. In a word, our study validated that
LINC01772 promoted cell metastasis and EMT process in CC by sponging miR-3611 to upregulate ZEB1 expression,
indicating that LINC01772 could serve as a new therapeutic target for patients with CC
HMGB1 promotes the proliferation and invasion of oral squamous cell carcinoma via activating epithelial-mesenchymal transformation
No full textThis study aimed to investigate the role of high mobility group box-1 (HMGB1) expression in oral squamous
cell carcinoma; HMGB1 promoted the proliferation and invasion of oral squamous cell carcinoma via activating
epithelial-mesenchymal transformation (EMT). In this study, RNA transfection was used to silence the expression of
HMGB1 in oral squamous cell carcinoma cells. CCK-8, cell clone formation and trans-well assays were used to detect
the proliferation and invasion of cells before and after HMGB1 silencing. qRT-PCR and Western blot were used to
detect changes in EMT marker protein expression before and after transfection. HMGB1 was significantly higher in
OSCC tissues than in adjacent tissues, and of the cell lines examined, HMGB1 was highest in SCC-9 cells. Additionally,
HMGB1 silencing decreased SCC-9 cell proliferation and viability. Down-regulation of HMBG1 expression inhibited
not only the proliferation but also the invasion of SCC-9 cells. The expression of N-cadherin, Snail, and Slug, but not
E-cadherin, were promoted after silencing HMGB1. The expression of HMGB1 in OSCC tissue and cell lines was
higher, and HMGB1 silencing decreased SCC-9 cell proliferation and invasion, suggesting that HMGB1 has positive
effects on OSCC development. Down-regulation of HMBG1 expression regulates EMT markers, suggesting that
HMBG1 promotes OSCC cell proliferation and invasion is likely to be associated with EMT activation
SPAG9 promotes prostate cancer growth and metastasis
No full textSperm-associated antigen 9 (SPAG9) expression is increased in prostate tissues of prostate cancer
patients. This experimental study aimed to investigate the role of SPAG9 in bone metastasis of prostate cancer.
Immunohistochemical analysis showed that SPAG9 staining was positive in 81.67% of 240 cases of prostatic carcinoma
but only in 6.67% of 120 cases of benign prostate hyperplasia. Strong PAG9 staining was positively correlated with
Gleason score and bone metastasis in 240 prostate cancer patients (p p > 0.05). PC-3 cells were transfected with shRNA against SPAG9, and CCK-8 assay in triplicate
showed that PC-3 cell viability was inhibited by SPAG9 knockdown. In addition, transwell assay in triplicate showed
that PC-3 cell invasion was inhibited by SPAG9 knockdown. Furthermore, total 2 × 106 PC-3 cells were injected
subcutaneously into the right flank of nude mice which were randomly divided into three groups (N = 8) and treated
by intratumoral injection of SPAG9 shRNA, control shRNA or PBS, respectively. SPAG9 shRNA inhibited the
growth, invasion and angiogenesis while promoted apoptosis of xenografted PC-3 cells. SPAG9 knockdown led to the
upregulation of E-cadherin and the downregulation of MMP2 and vimentin in xenografted tumors. In conclusion,
this is the first study to provide evidence that SPAG9 promotes bone metastasis of prostate cancer, and SPAG9 is a
promising target to prevent or treat bone metastasis of prostate cancer
A Reasonable Approach for the Development of Shale Gas Wells with Consideration of the Stress Sensitivity
Get PDFHigh-pressure deep shale gas reservoirs are usually highly stress-sensitive. When the reasonable production mode of shale gas well is built, the impact of strong stress sensitivity should be fully considered. First, this study calculated the relationship between permeability and formation pressure under different elastic modulus based on the shale lithology of Long Ma Xi formation in Sichuan Basin by testing and analysing the mechanical parameters of the rock. According to numerical simulation result, when the elastic modulus exceeds 14.0 GPa, the stress sensitivity of the matrix will slight affect the cumulative gas production of shale gas. Second, the changing relation between fracture conductivity and permeability with fracture pressure and the time of pressure acts were experimentally studied. The numerical simulation result suggested that the 30-year cumulative gas production considering the stress sensitivity was reduced by 13.5% compared with the 30-year cumulative gas production without considering the stress sensitivity. Finally, the production of different production modes under different stress sensitive characteristics was predicted using numerical simulation method. When the matrix and fractures are fixed with a same stress-sensitive curve, the initial production allocation will not significantly impact the cumulative gas production. When the fractured fractures are subjected to a varying stress sensitive curve, the lower production allocation will result in higher post-production and cumulative gas production
An Entity-Association-Based Matrix Factorization Recommendation Algorithm
Get PDFCollaborative filtering is the most popular approach when building recommender systems, but the large scale and sparse data of the user-item matrix seriously affect the recommendation results. Recent research shows the user’s social relations information can improve the quality of recommendation. However, most of the current social recommendation algorithms only consider the user's direct social relations, while ignoring potential users’ interest preference and group clustering information. Moreover, project attribute is also important in item rating. We propose a recommendation algorithm which using matrix factorization technology to fuse user information and project information together. We first detect the community structure using overlapping community discovery algorithm, and mine the clustering information of user interest preference by a fuzzy clustering algorithm based on the project category information. On the other hand, we use project-category attribution matrix and user-project score matrix to get project comprehensive similarity and compute project feature matrix based on Entity Relation Decomposition. Fusing the user clustering information and project information together, we get Entity-Association-based Matrix Factorization (EAMF) model which can be used to predict user ratings. The proposed algorithm is compared with other algorithms on the Yelp dataset. Experimental studies show that the proposed algorithm leads to a substantial increase in recommendation accuracy on Yelp data set
A Weighted Threshold Secret Sharing Scheme for Remote Sensing Images Based on Chinese Remainder Theorem
Get PDFThe recent advances in remote sensing and computer techniques give birth to the explosive growth of remote sensing images. The emergence of cloud storage has brought new opportunities for storage and management of massive remote sensing images with its large storage space, cost savings. However, the openness of cloud brings challenges for image data security. In this paper, we propose a weighted image sharing scheme to ensure the security of remote sensing in cloud environment, which takes the weights of participants (i.e., cloud service providers) into consideration. An extended Mignotte sequence is constructed according to the weights of participants, and we can generate image shadow shares based on the hash value which can be obtained from gray value of remote sensing images. Then we store the shadows in every cloud service provider, respectively. At last, we restore the remote sensing image based on the Chinese Remainder Theorem. Experimental results show the proposed scheme can effectively realize the secure storage of remote sensing images in the cloud. The experiment also shows that no matter weight values, each service providers only needs to save one share, which simplifies the management and usage, it also reduces the transmission of secret information, strengthens the security and practicality of this scheme
An Improved Unsupervised Image Segmentation Method Based on Multi-Objective Particle Swarm Optimization Clustering Algorithm
Get PDFMost image segmentation methods based on clustering algorithms use single-objective function to implement image segmentation. To avoid the defect, this paper proposes a new image segmentation method based on a multi-objective particle swarm optimization (PSO) clustering algorithm. This unsupervised algorithm not only offers a new similarity computing approach based on electromagnetic forces, but also obtains the proper number of clusters which is determined by scale-space theory. It is experimentally demonstrated that the applicability and effectiveness of the proposed multi-objective PSO clustering algorithm
A Privacy-Preserving Algorithm for Clinical Decision-Support Systems Using Random Forest
Get PDFClinical decision-support systems are technology-based tools that help healthcare providers enhance the quality of their services to satisfy their patients and earn their trust. These systems are used to improve physicians’ diagnostic processes in terms of speed and accuracy. Using data-mining techniques, a clinical decision support system builds a classification model from hospital’s dataset for diagnosing new patients using their symptoms. In this work, we propose a privacy-preserving clinical decision-support system that uses a privacy-preserving random forest algorithm to diagnose new symptoms without disclosing patients’ information and exposing them to cyber and network attacks. Solving the same problem with a different methodology, the simulation results show that the proposed algorithm outperforms previous work by removing unnecessary attributes and avoiding cryptography algorithms. Moreover, our model is validated against the privacy requirements of the hospitals’ datasets and votes, and patients’ diagnosed symptoms
Modeling and Analysis the Effects of EMP on the Balise System
Get PDFBalise system is one kind of high-rate point-mode data transmission equipment. It plays an indispensable role in Chinese Train Control System (CTCS), and it has been immigrated and widely used for passenger dedicated lines and high-speed lines. Thus, its working conditions directly affect train operation safety. However, the balise information transmission system (BITS) is based on the principle of electromagnetic induction, and the communication process is susceptible to external electromagnetic interference. Therefore, it is vital to study the influence of transient signal interference on the balise system. This paper builds the up-link model between the vehicle antena and the balise, and verifies the model’s correctness using finite-difference time-domain method and electromagnetic field theory. This paper analyzes the effect of electromagnetic pulses on the transponder's uplink and simulates the coupled current under irradiation. The spectral distribution of the three types of pulse interference is analyzed according to relevant standards. Strong electromagnetic pulses have a strong energy distribution in the working frequency band of the up-link, which will generate in-band interference and bit errors. It will affect the balise communication and threaten the safety of train operation. As we know we are the first to analyze the effects of EMP on Chinese BITS, which will lay a foundation for the research of electromagnetic anti-interference or protection to high-speed railway
Locating Steganalysis of LSB Matching Based on Spatial and Wavelet Filter Fusion
Get PDFFor the case of that only a single stego image of LSB (Least Significant Bit) matching steganography is available, the existing steganalysis algorithms cannot effectively locate the modified pixels. Therefore, an algorithm is proposed to locate the modified pixels of LSB matching based on spatial and wavelet filter fusion. Firstly, the validity of using the residuals obtained by spatial and wavelet filtering to locate the modified pixels of LSB matching is analyzed. It is pointed out that both of these two kinds of residuals can be used to identify the modified pixels of LSB matching with success rate higher than that of randomly guessing. Then, a method is proposed to measure the correlation between the results of two locating algorithms. Statistical results show that there are low correlations between the locating results of spatial filter based algorithm and wavelet filter based algorithm. Then these two kinds of residuals are fused by the voting method to improve the locating performance. The experimental results show that the proposed fusion algorithm can effectively improve the locating accuracy for the modified pixels of LSB matching