Comparative analysis of 3D expression patterns of transcription factor genes and digit fate maps in the developing chick wing

Hoxd13, Tbx2, Tbx3, Sall1 and Sall3 genes are candidates for encoding antero-posterior positional values in the developing chick wing and specifying digit identity. In order to build up a detailed profile of gene expression patterns in cell lineages that give rise to each of the digits over time, we compared 3 dimensional (3D) expression patterns of these genes during wing development and related them to digit fate maps. 3D gene expression data at stages 21, 24 and 27 spanning early bud to digital plate formation, captured from in situ hybridisation whole mounts using Optical Projection Tomography (OPT) were mapped to reference wing bud models. Grafts of wing bud tissue from GFP chicken embryos were used to fate map regions of the wing bud giving rise to each digit; 3D images of the grafts were captured using OPT and mapped on to the same models. Computational analysis of the combined computerised data revealed that Tbx2 and Tbx3 are expressed in digit 3 and 4 progenitors at all stages, consistent with encoding stable antero-posterior positional values established in the early bud; Hoxd13 and Sall1 expression is more dynamic, being associated with posterior digit 3 and 4 progenitors in the early bud but later becoming associated with anterior digit 2 progenitors in the digital plate. Sox9 expression in digit condensations lies within domains of digit progenitors defined by fate mapping; digit 3 condensations express Hoxd13 and Sall1, digit 4 condensations Hoxd13, Tbx3 and to a lesser extent Tbx2. Sall3 is only transiently expressed in digit 3 progenitors at stage 24 together with Sall1 and Hoxd13; then becomes excluded from the digital plate. These dynamic patterns of expression suggest that these genes may play different roles in digit identity either together or in combination at different stages including the digit condensation stage.     

Identification of differentially expressed genes in mouse kidney after irradiation using microarray analysis

Irradiation of the kidney induces dose-dependent, progressive renal functional impairment, which is partly mediated by vascular damage. The molecular mechanisms underlying the development of radiation-induced nephropathy are unclear. Given the complexity of radiation-induced responses, microarrays may offer new opportunities to identify a wider range of genes involved in the development of radiation injury. The aim of the present study was to determine whether microarrays are a useful tool for identifying time-related changes in gene expression and potential mechanisms of radiation-induced nephropathy. Microarray experiments were performed using amplified RNA from irradiated mouse kidneys (1 x 16 Gy) and from sham-irradiated control tissue at different intervals (1-30 weeks) after irradiation. After normalization procedures (using information from straight-color, color-reverse and self-self experiments), the differentially expressed genes were identified. Control and repeat experiments were done to confirm that the observations were not artifacts of the array procedure (RNA amplification, probe synthesis, hybridizations and data analysis). To provide independent confirmation of microarray data, semi-quantitative PCR was performed on a selection of genes. At 1 week after irradiation (before the onset of vascular and functional damage), 16 genes were significantly up-regulated and 9 genes were down-regulated. During the period of developing nephropathy (10 to 20 weeks), 31 and 42 genes were up-regulated and 9 and 4 genes were down-regulated. At the later time of 30 weeks, the vast majority of differentially expressed genes (191 out of 203) were down-regulated. Potential genes of interest included TSA-1 (also known as Ly6e) and Jagged 1 (Jag1). Increased expression of TSA-1, a member of the Ly-6 family, has previously been reported in response to proteinuria. Jagged 1, a ligand for the Notch receptor, is known to play a role in angiogenesis, and is particularly interesting in the context of radiation-induced vascular injury. The present study demonstrates the potential of microarrays to identify changing patterns of gene expression in irradiated kidney. Further studies will be required to evaluate functional involvement of these genes in vascular-mediated normal tissue injury.     

Identification of estrogen-responsive genes in the GH3 cell line by cDNA microarray analysis

To identify estrogen-responsive genes in somatolactotrophic cells of the pituitary gland, a rat pituitary cell line GH3 was subjected to cDNA microarray analysis. GH3 cells respond to estrogen by growth as well as prolactin synthesis. RNAs extracted from GH3 cells treated with 17beta-estradiol (E2) at 10(-9) M for 24 h were compared with the control samples. The effect of an antiestrogen ICI182780 was also examined. The array analysis indicated 26 genes to be up-regulated and only seven genes down-regulated by E2. Fourteen genes were further examined by real-time RT-PCR quantification and 10 were confirmed to be regulated by the hormone in a dose-dependent manner. Expression and regulation of these genes were then examined in the anterior pituitary glands of female F344 rats ovariectomized and/or treated with E2 and 8 out of 10 were again found to be up-regulated. Interestingly, two of the most estrogen-responsive genes in GH3 cells were strongly dependent on E2 in vivo. #1 was identified as calbindin-D9k mRNA, with 80- and 118-fold induction over the ovariectomized controls at 3 and 24 h, respectively, after E2 administration. #2 was found to be parvalbumin mRNA, with 30-fold increase at 24 h. Third was c-myc mRNA, with 4.5 times induction at 24 h. The levels were maintained after one month of chronic E2 treatment. Identification of these estrogen-responsive genes should contribute to understating of estrogen actions in the pituitary gland.     

The establishment of vascular-derived microenvironments in the developing chick wing

The results of previous studies on the temporal sequence of limb vascularization suggest that the prospective myogenic and chondrogenic areas of the mesoderm are distinguished by a differential vascularization pattern prior to the overt expression of muscle- and cartilage-specific phenotypes. The experiments presented here are designed to reveal the dynamic aspects of vascular flow in the limb by the observation of how an inert, particular tracer (india ink) is mobilized and dispersed at specific points in the mesoderm. Data are presented as a temporal sequence of fluid flow "maps" which detail both the rate and the direction of vascular flow in the limb. It is proposed that not only does the vasculature compartmentalize the mesoderm into prospective myogenic and chondrogenic zones but also that these broad areas are subcompartmentalized into discrete microenvironments that are spatially distinct with regard to their capacity for transporting the carbon particles. The developmental significance of this observation may be that limb mesodermal cells are granted precise, "positional" information in the form of the specific nutrient and oxygen levels they encounter during critical, or decisional, phases of morphogenesis.     

Identification of genes associated with tumorigenesis of retinoblastoma by microarray analysis

There is no report on the gene expression profile of retinoblastoma (Rb). We analyzed the gene expression profile of Rb by the microarray technique. One thousand four genes were upregulated and 481 genes were downregulated. Microarray data were confirmed by semiquantitative RT-PCR for 5 genes in Rb samples: CDC25A, C17orf75, ERBB3, LATS2, and CHFR. Clusters of differentially expressed genes were identified on chromosomes 1, 16, and 17. Based on the expression profile, we hypothesized that the PI3K/AKT/mTOR (insulin signaling) pathway might be dysregulated in Rb. Our semiquantitative RT-PCR analysis of the PIK3CA, AKT1, FRAP1, and RPS6KB1 genes in Rb samples supported this hypothesis. We suggest that known inhibitors of this pathway could be evaluated for the treatment of Rb.     

Identification of differentially expressed genes contributing to radioresistance in lung cancer cells using microarray analysis

Radiotherapy has played a key role in the control of tumor growth in many cancer patients. It is usually difficult to determine what fraction of the tumor cell population is radioresistant after a course of radiotherapy. The response of tumor cells to radiation is believed to be accompanied by complex changes in the gene expression pattern. It may be possible to use these to sensitize radioresistant tumor cells and improve radiocurability. Based on the biological effects of ionizing radiation, in the present study, we developed one oligonucleotide microarray to analyze the expression of 143 genes in cells of two lung cancer cell lines with different radiosensitivities. Compared to NCI-H446 cells, expression of 18 genes significantly increased the basal levels in the radioresistant A549 cells, in which eight genes were up-regulated and 10 genes were down-regulated. In A549 cells irradiated with 5 Gy, 22 (19 up-regulated and three down-regulated) and 26 (eight up-regulated and 18 down-regulated) differentially expressed genes were found 6 and 24 h after irradiation, respectively. In NCI-H446 cells, the expression of 17 (nine up-regulated and eight down-regulated) and 18 (six up-regulated and 12 down-regulated) genes was altered 6 and 24 h after irradiation, respectively. RT-PCR was performed, and we found that MDM2, BCL2, PKCZ and PIM2 expression levels were increased in A549 cells and decreased in NCI-H446 cells after irradiation. Genes involved in DNA repair, such as XRCC5, ERCC5, ERCC1, RAD9A, ERCC4 and the gene encoding DNA-PK, were found to be increased to a higher level in A549 cells than in NCI-H446 cells. Antisense suppression of MDM2 resulted in increased radiosensitivity of A549 cells. Taken together, these results demonstrate the possibility that a group of genes involved in DNA repair, regulation of the cell cycle, cell proliferation and apoptosis is responsible for the different radioresistance of these two lung cancer cells. This list of genes may be useful in attempts to sensitize the radioresistant lung cancer cells.     

Shh signalling restricts the expression of Gcm2 and controls the position of the developing parathyroids

The parathyroid glands originate from the endoderm of the caudal pharyngeal pouches. How these parathyroids are restricted to developing in the caudal pouches is unclear. In this paper we investigate the role of Shh signalling in patterning the vertebrate pharyngeal pouches, and show that Hh signalling may be involved in restricting the expression of the parathyroid marker Gcm2 in the pharyngeal epithelium. In the chick and mouse, Shh signalling is excluded or highly reduced in the posterior/caudal pouches, where the parathyroid marker Gcm2 is expressed, while remaining at high levels in the more anterior pouches. Moreover, though the block of Shh signalling at early developmental stages results in the loss of chick Gcm2 expression, at later stages, it induces ectopic Gcm2 expression domains in the second and first pharyngeal epithelium, suggesting that HH signalling prevents Gcm2 in those tissues. These ectopic domains go on to express other parathyroid markers but do not migrate and develop into ectopic parathyroids. Differences in the expression of Gcm2 in the chick, mouse and zebrafish, correlate with changing patterns of Shh signalling, indicating a conserved regulatory mechanism that acts to define pouch derivatives.     

Semi-automated mitral valve morphometry and computational stress analysis using 3D ultrasound

In vivo human mitral valves (MV) were imaged using real-time 3D transesophageal echocardiography (rt-3DTEE), and volumetric images of the MV at mid-systole were analyzed by user-initialized segmentation and 3D deformable modeling with continuous medial representation, a compact representation of shape. The resulting MV models were loaded with physiologic pressures using finite element analysis (FEA). We present the regional leaflet stress distributions predicted in normal and diseased (regurgitant) MVs. Rt-3DTEE, semi-automated leaflet segmentation, 3D deformable modeling, and FEA modeling of the in vivo human MV is tenable and useful for evaluation of MV pathology.     

Identification of two genes potentially associated in iron-heme homeostasis in human carotid plaque using microarray analysis

Classic characteristics are poor predictors of the risk of thromboembolism. Thus, better markers for the carotid atheroma plaque formation and symptom causing are needed. Our objective was to study by microarray analysis gene expression of genes involved in homeostasis of iron and heme in carotid atheroma plaque from the same patient. mRNA gene expression was measured by an Affymetrix GeneChip Human Gene 1.0 ST arrays (Affymetrix, Santa Clara, CA, USA) using RNA prepared from 68 specimens of endarteriectomy from 34 patients. Two genes involved in iron-heme homeostasis, CD163 and heme oxygenase (HO-1), were analysed in 34 plaques. CD163 (2.18, p?=?1.45E?08) and HO-1 (fold-change 2.67, p?=?2.07E?09) mRNAs were induced. We suggest that atheroma plaques show a more pronounced induction of CD163 and HO-1. Although further evidence is needed, our results support previous data. To our knowledge, this is the first report comparing gene expression between intact arterial tissue and carotid plaque using microarray analysis.     

Identification of genes associated with tumorigenesis of meibomian cell carcinoma by microarray analysis

Meibomian cell carcinoma (MCC) is a malignant tumor of the meibomian glands located in the eyelids. No information exists on the cytogenetic and genetic aspects of MCC. There is no report on the gene expression profile of MCC. Thus there is a need, for both scientific and clinical reasons, to identify genes and pathways that are involved in the development and progression of MCC. We analyzed the gene expression profile of MCC by the microarray technique. Forty-four genes were upregulated and 149 genes were downregulated in MCC. Differential expression data were confirmed for 5 genes by semiquantitative RT-PCR in MCC tumors: GTF2H4, RBM12, UBE2D3, DDX17, and LZTS1. We found dysregulation of two major pathways in MCC: MAPK and JAK/STAT. Clusters of genes on chromosomes 1, 12, and 19 were dysregulated in MCC. The data presented here will facilitate the identification of specific markers and therapeutic targets for the treatment of MCC patients.