A5101811852- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Genetic Mapping and Diversity in Plants and Animals
- Structural Response to Dynamic Loads
- Bone health and osteoporosis research
- Genetic Associations and Epidemiology
- Genomic variations and chromosomal abnormalities
- Bone Metabolism and Diseases
- Hydrocarbon exploration and reservoir analysis
- Transportation Safety and Impact Analysis
- Genomics and Phylogenetic Studies
- Structural Behavior of Reinforced Concrete
- Hydraulic Fracturing and Reservoir Analysis
- Genomics and Rare Diseases
- Alzheimer's disease research and treatments
- Enhanced Oil Recovery Techniques
- Genetic and phenotypic traits in livestock
- RNA Research and Splicing
- Structural Load-Bearing Analysis
- Metabolomics and Mass Spectrometry Studies
- Genetics and Plant Breeding
- Molecular Biology Techniques and Applications
- Structural Integrity and Reliability Analysis
- Tryptophan and brain disorders
- Prostate Cancer Treatment and Research
Research Institute of Petroleum Exploration and Development
2019-2025
Qingdao University of Technology
2021-2024
Shandong Institute of Commerce & Technology
2024
Nanjing Medical University
2022-2024
Jiangsu Province Hospital
2022-2024
Qingdao University of Science and Technology
2022-2023
Electron Optica (United States)
2023
China Southern Power Grid (China)
2023
China National Petroleum Corporation (China)
2023
State Key Laboratory of Enhanced Oil Recovery
2023
Copy number variation (CNV) has played an important role in studies of susceptibility or resistance to complex diseases. Traditional methods such as fluorescence situ hybridization (FISH) and array comparative genomic (aCGH) suffer from low resolution regions. Following the emergence next generation sequencing (NGS) technologies, CNV detection based on short read data have recently been developed. However, due relatively young age procedures, their performance is not fully understood. To...
Abstract Background The emergence of high-throughput genomic datasets from different sources and platforms ( e.g. , gene expression, single nucleotide polymorphisms (SNP), copy number variation (CNV)) has greatly enhanced our understandings the interplay these factors as well their influences on complex diseases. It is challenging to explore relationship between types data sets. In this paper, we focus a multivariate statistical method, canonical correlation analysis (CCA) method for...
Whole genome sequencing studies are essential to obtain a comprehensive understanding of the vast pattern human genomic variations. Here we report results high-coverage whole study for 44 unrelated healthy Caucasian adults, each sequenced over 50-fold coverage (averaging 65.8×). We identified approximately 11 million single nucleotide polymorphisms (SNPs), 2.8 short insertions and deletions, 500,000 block substitutions. showed that, although previous studies, including 1000 Genomes Project...
Menopause is one of the crucial physiological events during life a woman. Transition menopause status accompanied by increased risks various health problems such as osteoporosis. Peripheral blood monocytes can differentiate into osteoclasts and produce cytokines important for osteoclast activity. With quantitative proteomics LC-nano-ESI-MS(E) (where MS(E) elevated-energy MS), we performed protein expression profiling peripheral in 42 postmenopausal women with discordant bone mineral density...
Abstract Background Copy number variation (CNV) is an important structural (SV) in human genome. Various studies have shown that CNVs are associated with complex diseases. Traditional CNV detection methods such as fluorescence situ hybridization (FISH) and array comparative genomic (aCGH) suffer from low resolution. The next generation sequencing (NGS) technique promises a higher resolution of several were recently proposed for realizing promise. However, the performances these not robust...
As a hazardous waste, the spent cathode carbon block (SCCB) has high calorific value while it is difficult to fire, its harmless disposal major difficulty at present. Herein, method of mixed combustion meager coal and SCCB in pulverized furnace for proposed, thermogravimetric mass spectrometry (TG-MS) used characterize gas release characteristics. The effects heating rate mixing ratio on are analyzed as well. result shows that comprehensive combustibility index stability SCCB-5 50 °C/min...
In order to understand the mechanism of air flooding shale oil, an online physical simulation method for enhanced oil recovery by injection was established integrating CT scanning and nuclear magnetic resonance (NMR). The development effect under different depletion pressures, micro-production characteristics pore throats with sizes were analyzed. effects oxygen content, permeability, gas pressure, fractures on in crude production pores can be greatly improved injecting into depleted...
To achieve the efficient utilization of low-permeability tight sand and gravel reservoirs with strong heterogeneity in Mahu oil area Xinjiang, CO2 injection is used to improve recovery. The sweep pattern injected gas closely related development reservoir pores throats. Firstly, a three-dimensional model average pore-throat radius was established based on complete two-dimensional nuclear magnetic resonance scanning data target layer’s full-diameter core Wuerhe Formation. Subsequently, an...
Abstract Background Integrative analysis of multi-omics data is becoming increasingly important to unravel functional mechanisms complex diseases. However, the currently available datasets inevitably suffer from missing values due technical limitations and various constrains in experiments. These severely hinder integrative data. Current imputation methods mainly focus on using single omics while ignoring biological interconnections information imbedded sets. Results In this study, a novel...
With the advancement of high-throughput technologies and enrichment popular public databases, more research focuses bioinformatics have been on computational integration network gene expression profiles for extracting context-dependent active subnetworks. Many methods subnetwork searching developed. Scoring algorithms present a range considerations implementations. The primary goal study is to comprehensively evaluate performance different detection methods. Eleven were selected...
Abstract The level of serum 25-Hydroxyvitamin D [25(OH)D] has high heritability, suggesting that genes may contribute to variations in 25(OH)D and vitamin dose-response. As deficiency been linked numerous diseases, understanding how genetic variation contributes dose-response is important for personalized treatment cost-effective disease prevention. To identify variants responsible status dose-response, we performed two D3 calcium clinical supplementation trials 2,207 postmenopausal...
A variety of high throughput genome-wide assays enable the exploration genetic risk factors underlying complex traits. Although these studies have remarkable impact on identifying susceptible biomarkers, they suffer from issues such as limited sample size and low reproducibility. Combining individual different levels/platforms has promise to improve power consistency biomarker identification. In this paper, we propose a novel integrative method, namely sparse group multitask regression, for...
Background Osteoporosis is caused by excessive bone resorption (by osteoclasts) over formation osteoblasts). Monocytes are important to osteoporosis serving as progenitors of osteoclasts and produce cytokines for osteoclastogenesis. Aim To identify osteoporosis-related genes, we performed microarray analyses monocytes using Affymetrix 1.0 ST arrays in 42 (including 16 pre- 26 postmenopausal) high hip BMD (bone mineral density) vs. 31 15 low Caucasian female subjects. Here, defined belonging...
Integration of multiple profiling data and construction functional gene networks may provide additional insights into the molecular mechanisms complex diseases. Osteoporosis is a worldwide public health problem, but gene-gene interactions, post-transcriptional modifications regulation are still unclear. To gain comprehensive understanding osteoporosis etiology, transcriptome expression microarray, epigenomic miRNA microarray methylome sequencing were performed simultaneously in 5 high hip...
Next-generation sequencing-based genetic association study (GAS) is a powerful tool to identify candidate disease variants and genomic regions. Although low-coverage sequencing offers low cost but inadequacy in calling rare variants, high coverage able detect essentially every variant at cost. Two-stage may be an economical way conduct GAS without losing power. In two-stage sequencing, affordable number of samples are sequenced as the reference panel, then impute larger sample coverage. As...
Gene transcription is regulated with distinct sets of regulatory factors at multiple levels. Transcriptional and post-transcriptional regulation constitute two major modes gene expression to either activate or repress the initiation thereby control number proteins synthesized during translation. Disruptions proper patterns transcriptional levels are increasingly recognized as causes human diseases. Consequently, identifying differential respectively vital identify potential...