Shahfranklin2807

Predicting the response of cancer cell lines to specific drugs is an essential problem in personalized medicine. Since drug response is closely associated with genomic information in cancer cells, some large panels of several hundred human cancer cell lines are organized with genomic and pharmacogenomic data. Although several methods have been developed to predict the drug response, there are many challenges in achieving accurate predictions. This study proposes a novel feature selection-based method, named Auto-HMM-LMF, to predict cell line-drug associations accurately. Because of the vast dimensions of the feature space for predicting the drug response, Auto-HMM-LMF focuses on the feature selection issue for exploiting a subset of inputs with a significant contribution.

This research introduces a novel method for feature selection of mutation data based on signature assignments and hidden Markov models. Also, we use the autoencoder models for feature selection of gene expression and copy number variatio-HMM-LMF method is available in https//github.com/emdadi/Auto-HMM-LMF .

We depicted an application of Auto-HMM-LMF in exploring the new candidate drugs for head and neck cancer that showed the proposed method is useful in drug repositioning and personalized medicine. The source code of Auto-HMM-LMF method is available in https//github.com/emdadi/Auto-HMM-LMF .

Hair follicle density influences wool fibre production, which is one of the most important traits of the Wan Strain Angora rabbit. However, molecular mechanisms regulating hair follicle density have remained elusive.

In this study, hair follicle density at different body sites of Wan Strain Angora rabbits with high and low wool production (HWP and LWP) was investigated by histological analysis. Haematoxylin-eosin staining showed a higher hair follicle density in the skin of the HWP rabbits. The long noncoding RNA (lncRNA) profile was investigated by RNA sequencing, and 50 and 38 differentially expressed (DE) lncRNAs and genes, respectively, were screened between the HWP and LWP groups. A gene ontology analysis revealed that phospholipid, lipid metabolic, apoptotic, lipid biosynthetic, and lipid and fatty acid transport processes were significantly enriched. Potential functional lncRNAs that regulate lipid metabolism, amino acid synthesis, as well as the Janus kinase (JAK)-signal transducer and activator of transcription (STAT) and hedgehog signalling pathways, were identified. Consequently, five lncRNAs (LNC_002171, LNC_000797, LNC_005567, LNC_013595, and LNC_020367) were considered to be potential regulators of hair follicle density and development. Three DE lncRNAs and genes were validated by quantitative real-time polymerase chain reaction (q-PCR).

LncRNA profiles provide information on lncRNA expression to improve the understanding of molecular mechanisms involved in the regulation of hair follicle density.

LncRNA profiles provide information on lncRNA expression to improve the understanding of molecular mechanisms involved in the regulation of hair follicle density.

Co-localized combinations of histone modifications ("chromatin states") have been shown to correlate with promoter and enhancer activity. Changes in chromatin states over multiple time points ("chromatin state trajectories") have previously been analyzed at promoter and enhancers separately. With the advent of time series Hi-C data it is now possible to connect promoters and enhancers and to analyze chromatin state trajectories at promoter-enhancer pairs.

We present TimelessFlex, a framework for investigating chromatin state trajectories at promoters and enhancers and at promoter-enhancer pairs based on Hi-C information. TimelessFlex extends our previous approach Timeless, a Bayesian network for clustering multiple histone modification data sets at promoter and enhancer feature regions. We utilize time series ATAC-seq data measuring open chromatin to define promoters and enhancer candidates. We developed an expectation-maximization algorithm to assign promoters and enhancers to each other based on Hi-C inure regions and their changes over time.

The model for end-stage liver disease excluding international normalized ratio (MELD-XI) is a simple score for risk assessment. However, the prognostic role of MELD-XI and its additional value to current risk assessment in elderly patients with ST-segment elevation myocardial infarction (STEMI) undergoing percutaneous coronary intervention (PCI) is uncertain.

In all, 1029 elderly patients with STEMI undergoing PCI were consecutively included and classified into three groups according to the TIMI risk score low-risk (≤ 3, n = 251); moderate-risk (4-6, n = 509); and high-risk (≥ 7, n = 269) groups. Multivariate analysis was performed to identify risk factors for adverse events.

The overall in-hospital mortality was 5.3% and was significantly higher in the high-risk group (1.2% vs. 3.3% vs. 13.0%, p < 0.001). Oxaliplatin ic50 The optimal cut-off of the TIMI risk score and MELD-XI for in-hospital death was 7 and 13, respectively. MELD-XI was associated with in-hospital (adjusted odds ratio = 1.09, 95% CI = 1.04-1.14, p = 0.001) and one-year (adjusted hazard ratio = 1.05, 95% CI = 1.01-1.08, p = 0.005) mortality independently of the TIMI risk score. Combining TIMI risk score and MELD-XI exhibited better predictive power for in-hospital death than TIMI risk score (area under the curve [AUC] = 0.810 vs. 0.753, p = 0.008) or MELD-XI alone (AUC = 0.810 vs. 0.750, p = 0.018). Patients with TIMI risk score ≥ 7 and MELD-XI ≥ 13 had the worst prognosis.

MELD-XI could be considered as a risk-stratified tool for elderly patients with STEMI undergoing PCI. It had an additive prognostic value to TIMI risk score.

MELD-XI could be considered as a risk-stratified tool for elderly patients with STEMI undergoing PCI. It had an additive prognostic value to TIMI risk score.

Pericardiocentesis is frequently performed when fluid needs to be removed from the pericardial sac, for both therapeutic and diagnostic purposes, however, it can still be a high-risk procedure in inexperienced hands and/or an emergent setting.

A 78-year-old male made an emergency call complaining of the back pain. When the ambulance crew arrived at his home, he was in a state of shock due to cardiac tamponade diagnosed by portable echocardiography. The pericardiocentesis was performed using a puncture needle on site, and the patient was immediately transferred to our hospital by helicopter. Contrast-enhanced computed tomography showed a small protrusion of contrast media on the inferior wall of the left ventricle, suggesting cardiac rupture due to acute myocardial infarction. Emergency coronary angiography was then performed, which confirmed occlusion of the posterior descending branch of the left circumflex coronary artery. In addition, extravasation of contrast medium due to coronary artery perforation was observed in the acute marginal branch of the right coronary artery.