Gene chip analysis of differentially expressed genes with dietary iron restriction in suckling rat duodenum

2003 ◽  
Vol 124 (4) ◽  
pp. A601
Author(s):  
Fayez K. Ghishan ◽  
James F. Collins
2002 ◽  
Vol 34 (7) ◽  
pp. A11 ◽  
Author(s):  
Jian Wang ◽  
Lawrence Gelbert ◽  
Chad D. Geringer ◽  
Todd ◽  
G. Cook ◽  
...  

2015 ◽  
Vol 25 (1) ◽  
pp. 41-45
Author(s):  
Ping Lei ◽  
Yaohua Li ◽  
Jianning Zhang ◽  
Xin Chen ◽  
Fanglian Chen ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Jun Zheng ◽  
Chenkang Yang ◽  
Xingwei Zheng ◽  
Suxian Yan ◽  
Fei Qu ◽  
...  

Plant epidermal wax helps protect plants from adverse environmental conditions, maintains the function of tissues and organs, and ensures normal plant development. However, the constituents of epidermal wax and the regulatory mechanism of their biosynthesis in wheat have not been fully understood. Wheat varieties with different wax content, Jinmai47 and Jinmai84, were selected to comparatively analyze their waxy components and genetic characteristics, using a combination of lipidomic, transcriptomic, and BSA-Wheat 660K chip analysis. Through lipidomic analysis, 1287 lipid molecules were identified representing 31 lipid subclasses. Among these, Diacylglycerols (DG), (O-acyl)-ω-hydroxy fatty acids (OAHFA), wax ester (WE), Triacylglycerols (TG), and Monoradylglycerols (MG) accounted for 96.4% of the total lipids in Jinmai84 and 94.5% in Jinmai47. DG, OAHFA, and WE were higher in Jinmai84 than in Jinmai47 with the content of OAHFA 2.88-fold greater and DG 1.66-fold greater. Transcriptome sequence and bioinformatics analysis revealed 63 differentially expressed genes related to wax biosynthesis. Differentially expressed genes (DEGs) were found to be involved with the OAHFA, DG, and MG of synthesis pathways, which enriched the wax metabolism pathway. Non-glaucous and glaucous bulks from a mapping population were used to identify single nucleotide polymorphisms (SNP) via 660K chip analysis. Two loci centered on chromosomes 2D and 4B were detected and the locus on 4B is likely novel. These data improve understanding of complex lipid metabolism for cuticular wax biosynthesis in wheat and lay the foundation for future detailed investigation of mechanisms regulating wax metabolism.


2005 ◽  
Vol 15 (1) ◽  
pp. 146-154 ◽  
Author(s):  
E.-J. Lee ◽  
G. Kong ◽  
S.-H. Lee ◽  
S. B. Rho ◽  
C.-S. Park ◽  
...  

Uterine leiomyomas are very common benign tumors resulting in clinically serious gynecological problems in women of reproductive age. Approximately, 1% of leiomyosarcoma was reported to arise in a preexisting leiomyoma. However, the molecular basis of these tumors is poorly understood. To understand the molecular changes during leiomyoma development, we profiled differentially expressed genes in ten paired leiomyoma and normal myometrial tissues using cDNA microarray chip analysis. We identified 67 genes (27 overexpressed and 40 underexpressed) which were scored as differentially expressed at least twofold in at least eight of ten patients. Eighteen of 67 genes have been already reported to be differentially expressed without their established functions in uterine leiomyoma and others have never been reported. Subsequently, the relative expression levels of representative genes from identified 67 genes were confirmed by reverse-transcriptase polymerase chain reaction and immunohistochemistry and were found to be consistent with the microarray data. This study could provide a new insight into the understanding of leiomyoma and leiomyosarcoma.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 2681-2681
Author(s):  
Aaron Cheng ◽  
Luke Schissler ◽  
Bonnie Patchen ◽  
Vera Gaun ◽  
Manoj Bhasin ◽  
...  

Abstract Iron overload causes the generation of reactive oxygen species, which can lead to lasting organ damage, particularly to the liver. In patients with hereditary hemochromatosis, transfusion-dependent anemias, and hemoglobinopathies, iron overload is a major cause of mortality. A deeper understanding of iron regulation and the biological pathways involved in maintaining homeostasis may reveal new therapeutic targets for patients with iron overload disorders. We designed this study to discover genes that are differentially expressed in nutritional and genetic models of iron overload. For the nutritional iron overload study, 5-week old male C57BL/6 mice were placed on a soy-free diet (AIN-93G) containing different amounts of iron per kilogram of food: iron-deficient (2.5 mg/kg, n=3), iron-sufficient (37.5 mg/kg, n=3), and iron-excess (750 mg/kg, n=3). In the second study, 5-week old male C57BL/6 mice that were either wild type or HJV knockout mice that exhibited severe early onset iron overload secondary to homozygous deficiency of the bone morphogenic protein coreceptor, hemojuvelin (HJV), were maintained on the iron-deficient (2.5 mg/kg iron) diet (n=2 per group). For both studies animals were sacrificed after 50 days and liver RNA was extracted and sequenced at 40-50 million reads per sample. The RNA integrity number (RIN) for each sample was >6 and assessments of read duplication, base call frequency, and read quality indicated excellent quality of the data. For the HJV knockout mice, we used a false discovery rate <0.05 and a mean-fold change >2, to reveal genes that were differentially expressed compared to wild type mice. For the dietary iron study, genes were grouped by self-organizing maps to identify transcripts whose level of expression trended with increased or decreased dietary iron intake. The resulting analysis identified 148 genes in nutritionally iron-overloaded mice and 688 genes in HJV knockout mice that exhibited significant changes in expression. Of these, 28 genes were differentially regulated in both nutritionally iron overloaded and HJV knockout mice, including expected genes, such as transferrin receptor, HAMP (hepcidin), and bone morphogenic protein 6, and unexpected genes such as cytochrome P450 17a1 (cyp17a1), an enzyme that catalyzes critical steps in steroid synthesis, and nicotinomide N-methyltransferase (nnmt), an enzyme that regulates drug metabolism and DNA methylation. We clustered the 688 differentially expressed genes from the HJV knockout mice into functional pathways using the Functional Analysis tool from DAVID Bioinformatics Resources 6.7 (NIAID). Clusters were considered significant if there were >2 genes in the pathway and the Benjamini-Hochberg P-value was <0.05. We found that the expression of genes involved with PPAR signaling (P=0.0086) was decreased, while expression of transcripts involved with Huntington’s disease (P=0.038) was increased in HJV knockout mice compared to wild-type mice. Our RNA sequencing analysis identified a variety of novel pathways that were differentially regulated in dietary and genetic models of iron overload. Further studies are underway to characterize the potential roles of these genes in iron homeostasis. Disclosures No relevant conflicts of interest to declare.


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