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High expression of lncRNA PVT1 independently predicts poor overall survival in patients with primary uveal melanoma

Science Technology Department of Zhejiang, Province of China (no. 2015C37132) Recipient: Haiming Xu; Chinese Medicine Scientific Research Foundation of Zhejiang Province of China (no. 2016ZA033). Recipient ... might independently predict poor OS. 8 / 11 Author Contributions Conceptualization: Hui Liu. Data curation: Jingwen Gong, Hui Liu. Formal analysis: Haiming Xu, Jingwen Gong, Hui Liu. Investigation

Statistical approaches in QTL mapping and molecular breeding for complex traits

Most of the important agronomic traits in crops, such as yield and quality, are complex traits affected by multiple genes with gene × gene interaction as well as gene × environment interaction. Understanding the genetic architecture of complex traits is a long-term task for quantitative geneticists and plant breeders who wish to design efficient breeding programs. Conventionally...

Characteristics of Long Non-coding RNAs in the Brown Norway Rat and Alterations in the Dahl Salt-Sensitive Rat

College of Wisconsin, Milwaukee, WI, USAPengyuan LiuInstitute of Bioinformatics, Zhejiang University, Hangzhou, Zhejiang 310029, ChinaLiping Li & Haiming Xu AuthorsSearch for Feng Wang in:Nature Research ... journals • PubMed • Google ScholarSearch for Liping Li in:Nature Research journals • PubMed • Google ScholarSearch for Haiming Xu in:Nature Research journals • PubMed • Google ScholarSearch for Yong Liu

Statistical method for mapping QTLs for complex traits based on two backcross populations

Most important agronomic and quality traits of crops are quantitative in nature. The genetic variations in such traits are usually controlled by sets of genes called quantitative trait loci (QTLs), and the interactions between QTLs and the environment. It is crucial to understand the genetic architecture of complex traits to design efficient strategies for plant breeding. In the...

Cell Proliferation and Migration Are Modulated by Cdk-1-Phosphorylated Endothelial-Monocyte Activating Polypeptide II

Background Endothelial-Monocyte Activating Polypeptide (EMAP II) is a secreted protein with well-established anti-angiogenic activities. Intracellular EMAP II expression is increased during fetal development at epithelial/mesenchymal boundaries and in pathophysiologic fibroproliferative cells of bronchopulmonary dysplasia, emphysema, and scar fibroblast tissue following...

Endothelial-monocyte activating polypeptide II disrupts alveolar epithelial type II to type I cell transdifferentiation

Haiming Xu 0 Margaret A Schwarz 0 0 Department of Pediatrics, University of Texas Southwestern Medical Center at Dallas , Dallas, TX , USA Background: Distal alveolar morphogenesis is marked by

MSI2 is required for maintaining activated myelodysplastic syndrome stem cells

 & Haiming Xu These authors contributed equally to this work. AffiliationsMolecular Pharmacology and Center for Cell Engineering, Center for Stem Cell Biology, Center for Experimental Therapeutics, Memorial ... • Google ScholarSearch for Haiming Xu in:Nature Research journals • PubMed • Google ScholarSearch for Trevor S. Barlowe in:Nature Research journals • PubMed • Google ScholarSearch for Alexendar R. Perez

Genome-Wide Interaction-Based Association Analysis Identified Multiple New Susceptibility Loci for Common Diseases

Genome-wide interaction-based association (GWIBA) analysis has the potential to identify novel susceptibility loci. These interaction effects could be missed with the prevailing approaches in genome-wide association studies (GWAS). However, no convincing loci have been discovered exclusively from GWIBA methods, and the intensive computation involved is a major barrier for...

Novel Association Strategy with Copy Number Variation for Identifying New Risk Loci of Human Diseases

Background Copy number variations (CNV) are important causal genetic variations for human disease; however, the lack of a statistical model has impeded the systematic testing of CNVs associated with disease in large-scale cohort. Methodology/Principal Findings Here, we developed a novel integrated strategy to test CNV-association in genome-wide case-control studies. We converted...

Identification of somatic mutations in non-small cell lung carcinomas using whole-exome sequencing

Lung cancer is the leading cause of cancer-related death, with non-small cell lung cancer (NSCLC) being the predominant form of the disease. Most lung cancer is caused by the accumulation of genomic alterations due to tobacco exposure. To uncover its mutational landscape, we performed whole-exome sequencing in 31 NSCLCs and their matched normal tissue samples. We identified both...