A5017400203- Gene expression and cancer classification
- Genomics and Phylogenetic Studies
- Effects and risks of endocrine disrupting chemicals
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Computational Drug Discovery Methods
- Bioinformatics and Genomic Networks
- Sodium Intake and Health
- Genomics and Chromatin Dynamics
- Algal biology and biofuel production
- Heat shock proteins research
- Plant Stress Responses and Tolerance
- RNA modifications and cancer
- Plant biochemistry and biosynthesis
- Indoor Air Quality and Microbial Exposure
- Plant Gene Expression Analysis
- Microbial Fuel Cells and Bioremediation
- Genetic Mapping and Diversity in Plants and Animals
- Genomic variations and chromosomal abnormalities
- Vitamin D Research Studies
- Asthma and respiratory diseases
- Postharvest Quality and Shelf Life Management
- Cancer-related molecular mechanisms research
- Molecular Biology Techniques and Applications
- Electrolyte and hormonal disorders
University of Illinois Urbana-Champaign
2018-2024
University of Konstanz
2019
Central China Normal University
2019
Qingdao Institute of Bioenergy and Bioprocess Technology
2017
Chinese Academy of Sciences
2017
Abstract Populus wulianensis is an endangered species endemic to Shandong Province, China. Despite the economic and ornamental value of this species, few genomics genetic studies have been performed. In study, we performed a relevant analysis full-length transcriptome sequencing data P . obtained expressed sequence tag (EST)-simple repeat (SSR) markers with polymorphisms that can be used for further research. total, 8.18 Gb (3,521,665) clean reads average GC content 42.12% were obtained....
Cyanobacteria are considered potential photosynthetic microbial cell factories for biofuel and biochemical production. Ethylene, one of the most important organic chemicals, has been successfully synthesized in cyanobacteria by introducing an exogenous ethylene-forming enzyme (Efe). However, it remains challenging to significantly improve biosynthetic efficiency cyanobacterial ethylene. Genetic modification transcription factors is a powerful strategy reprogramming cellular metabolism toward...
Identification of functional non-coding variants and their mechanistic interpretation is a major challenge modern genomics, especially for precision medicine. Transcription factor (TF) binding profiles epigenomic landscapes in reference samples allow annotation the genome, but do not provide ready answers regarding effects on phenotypes. A promising computational approach to build models that predict TF-DNA from sequence, use such score variant's impact TF strength. Here, we asked if this...
Long non-coding RNAs (lncRNAs) have received attention in recent years for their regulatory roles diverse biological contexts including cancer, yet large gaps remain our understanding of mechanisms and global maps targets. In this work, we investigated a basic unanswered question lncRNA systems biology: to what extent can gene expression variation across individuals be attributed lncRNA-driven regulation? To answer this, analyzed RNA-seq data from cohort breast cancer patients, explaining...
Salt stress has become a major environmental problem affecting plant growth and development. Some WRKY transcription factors have been reported to be involved in the salt response plants. However, there are few studies on involvement of WRKYs
The heat shock transcription factor (HSF) family is involved in regulating growth, development, and abiotic stress. characteristics biological functions of HSF member X. sorbifolium, an important oil ornamental plant, have never been reported. In this study, 21 XsHSF genes were identified from the genome sorbifolium named XsHSF1-XsHSF21 based on their chromosomal positions. Those divided into three groups, A, B, C, containing 12, one, eight genes, respectively. Among them, 20 are located 11...
Abstract There is a pressing need today to mechanistically interpret sets of genomic variants associated with diseases. Here we present tool called ‘VarSAn’ that uses network analysis algorithm identify pathways relevant given set variants. VarSAn analyzes configurable whose nodes represent variants, genes and pathways, using Random Walk Restarts rank for relevance the reports P-values pathway relevance. It treats non-coding coding differently, properly accounts number impacted by each...
ABSTRACT There is a pressing need today to mechanistically interpret sets of genomic variants associated with diseases. Here we present tool called ‘VarSAn’ that uses network analysis algorithm identify pathways relevant given set variants. VarSAn analyzes configurable whose nodes represent variants, genes and pathways, using Random Walk Restarts rank for relevance the reports p-values pathway relevance. It treats non-coding coding differently, properly accounts number impacted by each...
ABSTRACT Identification of functional non-coding variants (polymorphisms) and their mechanistic interpretation is a major challenge modern genomics, especially for precision medicine. Transcription factor (TF) binding profiles epigenomic landscapes in reference samples can help us functionally annotate the genome, but do not provide ready answers regarding effects variants. A promising computational approach to build models that predict TF-DNA from sequence, use such score variant’s impact...