From single cells to whole organisms.
A report on the European Science Foundation Conference 'Functional Genomics and Disease', Oslo, Norway, 6-10 September 2005.
Biomedical subjects
Publications and source records attributed to Silke Sperling.
A report on the European Science Foundation Conference 'Functional Genomics and Disease', Oslo, Norway, 6-10 September 2005.
Microarray technology as a method for large-scale gene expression analysis has entered into widespread use in the field of cardiovascular research. This chapter summarizes the application of arrays to study gene expression profiles of congenital heart diseases, in particular the molecular portrait of tetralogy of Fallot. The sections of this chapter correspond to the several distinct steps of microarray experiments. A general introduction to the method, and information on the selection of arrays and preparation of labeled complementary DNA samples are given. A specific focus of the chapter is the experimental design and data analysis.
BACKGROUND: There has been much evidence recently for a link between transcriptional regulation and chromosomal gene order, but the relationship between genomic organization, regulation and gene function in higher eukaryotes remains to be precisely defined. RESULTS: Here, we present evidence for organization of a large proportion of a human transcriptome into gene clusters throughout the genome, which are partly regulated by the same transcription factors, share biological functions and are characterized by non-housekeeping genes. This analysis was based on the cardiac transcriptome identified by our genome-wide array analysis of 55 human heart samples. We found 37% of these genes to be arranged mainly in adjacent pairs or triplets. A significant number of pairs of adjacent genes are putatively regulated by common transcription factors (p = 0.02). Furthermore, these gene pairs share a significant number of GO functional classification terms. We show that the human cardiac transcriptome is organized into many small clusters across the whole genome, rather than being concentrated in a few larger clusters. CONCLUSION: Our findings suggest that genes expressed in concert are organized in a linear arrangement for coordinated regulation. Determining the relationship between gene arrangement, regulation and nuclear organization as well as gene function will have broad biological implications.
Several vasoregulatory systems including the renin-angiotensin system, sympathetic vasoregulation, and cytokine release have been studied extensively. The aim of the present study was to establish a physiogenomic screening model for differentially expressed genes in the regulation of blood pressure that might give a hint as to new vasoregulatory mechanisms. We induced acute hypotension in normotensive rats, assuming that vasoregulatory systems will counteract hypotension. Microarray transcriptome analysis was performed from kidneys 6 h after the induction of acute hypotension. The results were confirmed by real-time PCR. Six functionally known genes (Igfbp1, Xdh, Sult1a1, Mawbp, Por, and Gstm1) and two expressed sequence tages (BI277460 and AI411345) were significantly upregulated. Four of these genes (Igfbp1, Xdh, Por, and Gstm1) have well-characterized functions in the cardiovascular system. The proteins corresponding to Xdh, Por, and Gstm1 are involved in the metabolism of reactive oxygen species (ROS). Because ROS can mediate endothelial dysfunction, we measured the aortic dilatory capacity in thoracic aortic rings. Indeed, vasodilator potency to acetylcholine was largely diminished in hypotensive animals, whereas sodium nitroprusside induced equivalent vasodilations in normotensive and hypotensive animals. The vasodilator potency of the endothelium was partially restored by the superoxide scavenger tiron. Hence, acute hypotension induces a diminished vasodilator potency of the endothelium due to an accelerated degradation of nitric oxide by ROS. The present physiogenomic approach is capable of detecting vasoregulatory mechanisms and may provide deeper insight into the genetics and physiology of blood pressure regulation.
Recent reports have demonstrated that mice lacking the transcription factor Cited2 die in utero showing various cardiac malformations. We present for the first time functionally relevant mutations of CITED2 in patients with congenital heart defects (CHDs). CITED2 encodes a CREBBP/EP300 interacting transcriptional modulator of HIF1A and TFAP2. To study the potential impact of sequence variations in CITED2 for CHDs in humans, we screened a cohort of 392 well-characterized patients and 192 control individuals using DHPLC, sequencing, and Amplifluor genotyping techniques. We identified 15 CITED2 nucleotide alterations. Seven of these alterations were found only in CHD patients and were not detected in controls, including three mutations leading to alterations of the amino acid sequence (p.Ser170_Gly178del, p.Gly178_Ser179ins9, and p.Ser198_Gly199del). All three of these amino acid changing mutations cluster in the serine-glycine-rich junction of the protein, to which no functionality had heretofore been assigned. Here we show that these mutations significantly reduce the capacity of CITED2 to transrepress HIF1A, and that the p.Ser170_Gly178del mutation significantly diminishes TFAP2C coactivation. This reveals a modifying role for the serine-glycine-rich region in CITED2 function. In summary, the observation of these mutations in patients with septal defects indicates that CITED2 has a causative impact in the development of CHD in humans.
BACKGROUND: Motivated by a biomedical database set up by our group, we aimed to develop a generic database front-end with embedded knowledge discovery and analysis features. A major focus was the human-oriented representation of the data and the enabling of a closed circle of data query, exploration, visualization and analysis. RESULTS: We introduce a non-task-specific database front-end with a new visualization strategy and built-in analysis features, so called d-matrix. d-matrix is web-based and compatible with a broad range of database management systems. The graphical outcome consists of boxes whose colors show the quality of the underlying information and, as the name suggests, they are arranged in matrices. The granularity of the data display allows consequent drill-down. Furthermore, d-matrix offers context-sensitive categorization, hierarchical sorting and statistical analysis. CONCLUSIONS: d-matrix enables data mining, with a high level of interactivity between humans and computer as a primary factor. We believe that the presented strategy can be very effective in general and especially useful for the integration of distinct data types such as phenotypical and molecular data.
Single-nucleotide polymorphisms (SNPs) have proven to be powerful genetic markers for a variety of genetic applications, e.g., association studies leading to dissection of both monogenetic and complex diseases. However, no single SNP genotyping method has been broadly accepted. In the present study, we compared and refined two promising methods with potential for research and for diagnostic SNP genotyping: Amplifluor allele-specific polymerase chain reaction (PCR) and ligation detection reaction (LDR)-TaqMan. The methods are based on allele-specific primer extension and allele-specific ligation, respectively. Since LDR-TaqMan had previously been tested on just Arabidopsis thaliana, we adjusted the method for the more complex human genome. Amplifluor allele-specific PCR has a single-step and closed-tube format, whereas the LDR-TaqMan assay comprises two simple steps. Contrary to the primer-extension-based method, the ligation-based method can be multiplexed. Refining the LDR-TaqMan technique, we successfully replaced a previously suggested three-step multiplexing procedure with a less laborious two-step approach. Comparing refined LDR-TaqMan with Amplifluor allele-specific PCR in a family-based study, both techniques appeared similar with respect to high robustness and accuracy. As both approaches utilize primers with common tails, all SNPs can be assayed with the same couple of fluorescence reporting reagents, ensuring low establishing and running expenses.
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BACKGROUND: We present the first genome-wide cDNA array analysis of human congenitally malformed hearts and attempted to partially elucidate these complex phenotypes. Most congenital heart defects, which account for the largest number of birth defects in humans, represent complex genetic disorders. As a consequence of the malformation, abnormal hemodynamic features occur and cause an adaptation process of the heart. METHODS AND RESULTS: The statistical analysis of our data suggests distinct gene expression profiles associated with tetralogy of Fallot, ventricular septal defect, and right ventricular hypertrophy. Applying correspondence analysis, we could associate specific gene functions to specific phenotypes. Furthermore, our study design allows the suggestion that alterations associated with primary genetic abnormalities can be distinguished from those associated with the adaptive response of the heart to the malformation (right ventricular pressure overload hypertrophy). We provide evidence for the molecular transition of the hypertrophic right ventricle to normal left ventricular characteristics. Furthermore, we present data on chamber-specific gene expression. CONCLUSIONS: Our findings propose that array analysis of malformed human hearts opens a new window to understand the complex genetic network of cardiac development and adaptation. For detailed access, see the online-only Data Supplement.