Multi-omics analysis of the healthy smoker airway reveals smoking related impacts on the lung microenvironment

2017 ◽  
Author(s):  
Brian Keller ◽  
Ann Gregory ◽  
Chandni Desai ◽  
Benjamin Wu ◽  
Jose Clemente ◽  
...  
Keyword(s):  
Healthy Smoker ◽  
Omics Analysis

Multi-Omics Analysis of Respiratory Specimen Characterizes Baseline Molecular Determinants Associated with COVID-19 Diagnosis and Outcome

2020 ◽  
Author(s):  
Jaswinder Singh Maras ◽  
Shvetank Sharma ◽  
Adil Bhat ◽  
sheetalnath Rooge ◽  
Reshu Agarwal ◽  
...  
Keyword(s):  
Respiratory Specimen ◽  
Omics Analysis ◽  
Molecular Determinants

scholarly journals MIP-T3 Expression Associated with Defects of Ciliogenesis in Airway of COPD Patients

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Wen-Jun Wang ◽  
Shi-Fang Yang ◽  
Zhi-Rui Gao ◽  
Ze-Ru Luo ◽  
Yuan-Ling Liu ◽  
...  
Keyword(s):  
Protein Expression ◽  
Bronchial Epithelium ◽  
Smoking History ◽  
Chronic Obstructive ◽  
Healthy Smoker ◽  
Necrosis Factor Alpha ◽  
Copd Patients ◽  
Structural Abnormalities ◽  
Abnormal Cilia ◽  
Nonsmoker Group

Introduction. Some studies have found that cilia were shorter in COPD smokers than in nonsmokers or healthy smokers. However, the structural abnormalities of cilia and the cause of such abnormalities in COPD patients still remain unknown. Tumor necrosis factor alpha receptor 3 interacting protein 1 (MIP-T3) may play an important role in the progress of ciliary protein transporting. Objectives. This study aimed at exploring the dominated structural abnormalities of cilia and the involvement of MIP-T3 in the pathogenesis of cilia of COPD patients. Methods. Patients who accepted pulmonary lobectomy were divided into 3 groups: the chronic obstructive pulmonary disease (COPD) smoker group, the healthy smoker group, and the nonsmoker group, according to smoking history and pulmonary function. The ultrastructure of cilia and the percentage of abnormal cilia were analyzed using a transmission electron microscope. Real-time PCR, immunohistochemical staining, and western blotting in bronchial epithelium were used to determine MIP-T3 mRNA and protein expression. The relationship between the percentage of abnormal cilia and lung function and MIP-T3 protein expression was analyzed. Results. Patients in the COPD smoker group had increased percentage of abnormal cilia comparing to both the healthy smoker group and the nonsmoker group (both P values <0.05). MIP-T3 expression was significantly declined in the COPD smoker group (P value <0.05). Moreover, the percentage of abnormal cilia was negatively correlated with FEV1, FEV1/FVC ratio, and FEV1%pred (all P values <0.05). Moreover, the MIP-T3 protein expression was positively correlated with the percentage of abnormal cilia (P value <0.05). Conclusions. Our results suggested that the abnormal ciliary ultrastructure, which was common in COPD patients, might be due to MIP-T3 downregulation.

scholarly journals Multi-Omics Analysis of Anti-Inflammatory Action of Alkaline Extract of the Leaves of Sasa sp.

2021 ◽  
Vol 10 (10) ◽  
pp. 2100
Author(s):  
Hiroshi Sakagami ◽  
Sachie Nakatani ◽  
Ayame Enomoto ◽  
Sana Ota ◽  
Miku Kaneko ◽  
...  
Keyword(s):  
Culture Medium ◽  
Growth Stimulation ◽  
Pge2 Production ◽  
Oral Diseases ◽  
Total Glutathione ◽  
Simultaneous Treatment ◽  
Alkaline Extract ◽  
Omics Analysis ◽  
Anti Inflammatory ◽  
Inflammatory Action

Efficient utilization of alkaline extracts of several plants for the treatment of oral diseases has been reported. To investigate the mechanism of anti-inflammatory activity of alkaline extract of the leaves of Sasa sp. (SE), multi-omics analysis using metabolomics and DNA array was performed. Human gingival fibroblasts (HGFs) were treated for IL-1β to induce inflammation (detected by PGE2 production in culture medium) in the presence or absence of SE. Both IL-1β and SE showed slight hormetic growth stimulation against HGF. SE inhibited PGE2 production dose- and time-dependently. Its inhibitory action was more pronounced by first treating the cells with SE, rather than with IL-1β. At 3 h after IL-1β treatment, 18 amino acids (except cysteine and glutamic acid), total glutathione (GSH, GSSG, Cys-GSH disulfide), Met-sulfoxide, 5-oxoproline, and SAM declined, whereas DNA expressions of AKT, CASP3, and CXCL3 were elevated. These changes were reversed by simultaneous treatment with SE. The present study suggests that the anti-inflammatory action of SE is mediated via various metabolic pathways for cell survival, apoptosis, and leukocyte recruitment.

Multiple 'omics'-analysis reveals the role of prostaglandin E2 in Hirschsprung's disease

2021 ◽  
Vol 164 ◽  
pp. 390-398
Author(s):  
Weibing Tang ◽  
Minjian Chen ◽  
Xuejiang Guo ◽  
Kun Zhou ◽  
Zechao Wen ◽  
...  
Keyword(s):  
Prostaglandin E2 ◽  
Hirschsprung's Disease ◽  
Hirschsprung’S Disease ◽  
Omics Analysis

scholarly journals A multi-tissue multi-omics analysis reveals distinct kineztics in entrainment of diurnal transcriptomes by inverted feeding

iScience ◽  
2021 ◽  
Vol 24 (4) ◽  
pp. 102335
Author(s):  
Haoran Xin ◽  
Fang Deng ◽  
Meiyu Zhou ◽  
Rongfeng Huang ◽  
Xiaogen Ma ◽  
...  
Keyword(s):  
Omics Analysis

Review: Liquid chromatography, a key tool for the advancement of single-cell omics analysis

2021 ◽  
pp. 338551
Author(s):  
Hanne Røberg-Larsen ◽  
Elsa Lundanes ◽  
Tuula A. Nyman ◽  
Frode S. Berven ◽  
Steven Ray Wilson
Keyword(s):  
Liquid Chromatography ◽  
Single Cell ◽  
Omics Analysis

scholarly journals Omics AnalySIs System for PRecision Oncology (OASISPRO): a web-based omics analysis tool for clinical phenotype prediction

2017 ◽  
Vol 34 (2) ◽  
pp. 319-320 ◽  
Author(s):  
Kun-Hsing Yu ◽  
Michael R Fitzpatrick ◽  
Luke Pappas ◽  
Warren Chan ◽  
Jessica Kung ◽  
...  
Keyword(s):  
Clinical Phenotype ◽  
Analysis Tool ◽  
Precision Oncology ◽  
Phenotype Prediction ◽  
Web Based ◽  
Omics Analysis ◽  
Analysis System

scholarly journals Multi‐Omics Analysis Reveals the Mechanism Underlying the Edaphic Adaptation in Wild Barley at Evolution Slope (Tabigha)

2021 ◽  
pp. 2101374
Author(s):  
Shengguan Cai ◽  
Qiufang Shen ◽  
Yuqing Huang ◽  
Zhigang Han ◽  
Dezhi Wu ◽  
...  
Keyword(s):  
Wild Barley ◽  
Omics Analysis

scholarly journals A New Era of Neuro-Oncology Research Pioneered by Multi-Omics Analysis and Machine Learning

Biomolecules ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 565
Author(s):  
Satoshi Takahashi ◽  
Masamichi Takahashi ◽  
Shota Tanaka ◽  
Shunsaku Takayanagi ◽  
Hirokazu Takami ◽  
...  
Keyword(s):  
Machine Learning ◽  
Clinical Situation ◽  
Machine Learning Techniques ◽  
Current Status ◽  
Omics Data ◽  
Amount Of Information ◽  
Oncology Research ◽  
Omics Analysis ◽  
Learning Techniques ◽  
Comprehensive Survey

Although the incidence of central nervous system (CNS) cancers is not high, it significantly reduces a patient’s quality of life and results in high mortality rates. A low incidence also means a low number of cases, which in turn means a low amount of information. To compensate, researchers have tried to increase the amount of information available from a single test using high-throughput technologies. This approach, referred to as single-omics analysis, has only been partially successful as one type of data may not be able to appropriately describe all the characteristics of a tumor. It is presently unclear what type of data can describe a particular clinical situation. One way to solve this problem is to use multi-omics data. When using many types of data, a selected data type or a combination of them may effectively resolve a clinical question. Hence, we conducted a comprehensive survey of papers in the field of neuro-oncology that used multi-omics data for analysis and found that most of the papers utilized machine learning techniques. This fact shows that it is useful to utilize machine learning techniques in multi-omics analysis. In this review, we discuss the current status of multi-omics analysis in the field of neuro-oncology and the importance of using machine learning techniques.

Sign in / Sign up

Export Citation Format

Share Document