Identification of inflammatory response-related molecular mechanisms based on the ATM/ATR/p53 pathway in tumor cells.

Inflammatory response is a crucial factor that affects prognosis and therapeutic effect in tumor cells. Although some studies have shown that inflammation could make DNA more vulnerable to external attacks, resulting in serious DNA damage, the underlying mechanism remains unknown. Then, using tumor necrosis factor α (TNF-α) and lipopolysaccharide (LPS), this research elevated the level of inflammation in cancer cells, and hydrogen peroxide (HO) and ultraviolet (UV) were utilized as common reactive oxygen species (ROS)-induced DNA damage agents.

A protocol to investigate the effects of lncRNAs on in vivo protein-protein interactions using proximity ligation assay.

A large variety of cellular signals are triggered and transmitted by protein-protein interactions (PPIs). Long noncoding RNAs regulate PPIs by enhancing or destabilizing these interactions. Here, we use the proximity ligation assay technique to determine PPIs between p53 and SET regulated by long intergenic noncoding RNA 324 (LINC00324).

A p53/LINC00324 positive feedback loop suppresses tumor growth by counteracting SET-mediated transcriptional repression.

The p53 tumor suppressor exerts antitumor functions through its ability to regulate the transcription of its downstream targets. Long noncoding RNAs (lncRNAs) act as oncogenes or tumor suppressors implicated in tumorigenesis and tumor progression. Here, we identify the lncRNA LINC00324 (long intergenic noncoding RNA 00324) as a direct p53 transcriptional target.

Ultrasound Image Classification of Thyroid Nodules Based on Deep Learning.

A thyroid nodule, which is defined as abnormal growth of thyroid cells, indicates excessive iodine intake, thyroid degeneration, inflammation, and other diseases. Although thyroid nodules are always non-malignant, the malignancy likelihood of a thyroid nodule grows steadily every year. In order to reduce the burden on doctors and avoid unnecessary fine needle aspiration (FNA) and surgical resection, various studies have been done to diagnose thyroid nodules through deep-learning-based image recognition analysis.

Evaluating the Microsatellite Instability of Colorectal Cancer Based on Multimodal Deep Learning Integrating Histopathological and Molecular Data.

Microsatellite instability (MSI), an important biomarker for immunotherapy and the diagnosis of Lynch syndrome, refers to the change of microsatellite (MS) sequence length caused by insertion or deletion during DNA replication. However, traditional wet-lab experiment-based MSI detection is time-consuming and relies on experimental conditions. In addition, a comprehensive study on the associations between MSI status and various molecules like mRNA and miRNA has not been performed.

Dopaminergic neurons project to the nucleus accumbens regulates anxiety-like behaviors through dopamine D signaling.

Dopamine (DA) transmission is important in the regulation of mood and anxiety behaviors. However, how specific dopaminergic signaling pathways respond to anxiogenic stimuli as well as regulate behaviors remains unknown. To understand how DA regulates the animal behaviors under anxiety we performed retrograde labeling and c-Fos staining of midbrain DA neurons.

High rate of multiresistant from human and animal origin.

Purpose: The main objectives of the present study were to detect the antimicrobial susceptibility and molecular characteristics of isolated from different hosts and to investigate the possibility of transmission between animals and humans.

Materials And Methods: A total of 189 nonduplicate isolates were collected from hospitals and four species of animals in Henan Province, China. The disk diffusion method was used for antimicrobial susceptibility testing, and resistance and virulence genes were screened by polymerase chain reaction (PCR).

A nonconforming scheme for non-Fickian flow in porous media.

In this paper, we construct a semi-discrete scheme and a fully discrete scheme using the Wilson nonconforming element for the parabolic integro-differential equation arising in modeling the non-Fickian flow in porous media by the interior penalty method. Without using the conventional elliptic projection, which was an indispensable tool in the convergence analysis of finite element methods in previous literature, we get an optimal error estimate which is only determined by the interpolation error. Finally, we give some numerical experiments to show the efficiency of the method.

A bispecific enediyne-energized fusion protein targeting both epidermal growth factor receptor and insulin-like growth factor 1 receptor showing enhanced antitumor efficacy against non-small cell lung cancer.

Epidermal growth factor receptor (EGFR) and insulin-like growth factor 1 receptor (IGF-1R) both overexpressed on non-small cell lung cancer (NSCLC) and are known cooperatively to promote tumor progression and drug resistance. This study was to construct a novel bispecific fusion protein EGF-IGF-LDP-AE consisting of EGFR and IGF-IR specific ligands (EGF and IGF-1) and lidamycin, an enediyne antibiotic with potent antitumor activity, and investigate its antitumor efficacy against NSCLC. Binding and internalization assays showed that EGF-IGF-LDP protein could bind to NSCLC cells with high affinity and then internalized into cells with higher efficiency than that of monospecific proteins.

[Chemical composition and daily variation of melt water during ablation season in monsoonal temperate Glacier region: a case study of Baishui Glacier No. 1].

Melt water samples collected continuously from 29 August to 3 September 2009 in the Baishui Glacier No. 1 at elevation of 4750 m were analyzed for pH, conductivity, delta18O and inorganic ions. The results showed that the pH had obvious diurnal variations and was increased slightly by the influence of precipitation.

Radial basis function neural network ensemble for predicting protein-protein interaction sites in heterocomplexes.

Prediction of protein-protein interaction sites can guide the structural elucidation of protein complexes. We propose a novel method using a radial basis function neural network (RBFNN) ensemble model for the prediction of protein interaction sites in heterocomplexes. We classified protein surface residues into interaction sites or non-interaction sites based on the RBFNNs trained on different datasets, then judged a prediction to be the final output.

[Antibacterial activity of recombinant thanatin expressed by E.coli ER2566].

Objective: To express antibacterial peptide thanatin in the prokaryotic expression system and test its antibacterial activity.

Methods: The DNA sequence coding for the 21 peptides of thanatin was synthesized using the preferred genetic codes of E. coli, cloned into pTYB11 plasmid, and transformed into E.

Report of two Chinese families and a review of Mainland Chinese CADASIL patients.

Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is an inherited cerebrovascular disease caused by a mutation of the NOTCH3 gene. The clinical information of two CADASIL families was studied and mutation analysis of the NOTCH3 gene was performed by DNA direct sequencing. Published studies of Mainland Chinese CADASIL patients were reviewed and reanalyzed.

[The predictive factors and unfavourable prognostic factors of interstitial lung disease in patients with polymyositis/dermatomyositis].

Objective: To analyze the predictive factors and the unfavourable prognostic factors of interstitial lung disease (ILD) in patients with polymyositis (PM)/dermatomyositis (DM).

Methods: The clinical data were collected from 87 inpatients with DM or PM, who were admitted to Shanghai Changhai Hospital from January 1997 to November 2006. The patients were divided into an ILD group and a non-ILD group.