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Evolutionary regulation of the blind subterranean mole rat, Spalax, revealed by genome-wide gene expression.

We applied genome-wide gene expression analysis to the evolutionary processes of adaptive speciation of the Israeli blind subterranean mole rats of the Spalax ehrenbergi superspecies. The four Israeli allospecies climatically and adaptively radiated into the cooler, mesic northern domain (N) and warmer, xeric southern domain (S). The kidney and brain mRNAs of two N and two S animals were examined through cross-species hybridizations with two types of Affymetrix arrays (mouse and rat) and muscle mRNA of six N and six S animals with spotted cDNA mouse arrays. The initial microarray analysis was hypothesis-free, i.e., conducted without reference to the origin of animals. Principal component analysis revealed that 20-30% of the expression signal variability could be explained by the differentiation of N-S species. Similar N-S effects were obtained for all tissues and types of arrays: two Affymetrix microarrays using probe oligomer signals and the spotted array. Likewise, ANOVA and t test statistics demonstrated significant N-S ecogeographic divergence and region-tissue specificity in gene expression. Analysis of differential gene expression between species corroborates previous results deduced by allozymes and DNA molecular polymorphisms. Functional categories show significant N-S ecologic putative adaptive divergent up-regulation of genes highlighting a higher metabolism in N, and potential adaptive brain activity and kidney urine cycle pathways in S. The present results confirm ecologic-genomic separation of blind mole rats into N and S. Gene expression regulation appears to be central to the evolution of blind mole rats.

Adaptation, Physiological↗

Expression of coiled-coil protein 1, a novel gene downstream of FGF2, in the developing brain.

Fibroblast growth factor 2 (FGF2) plays an important role in cortical development. However, the genes downstream of FGF2 that mediate its effect are largely unknown. We have performed a microarray screening of genes regulated by FGF2 using primary cortical neuron culture derived from embryonic day 14.5 (E14.5) mouse forebrains. In this study, we have analysed a previously uncharacterised gene encoding a 180-amino acid protein, hereby named 'coiled-coil protein 1 (ccp1)', that showed a modest up-regulation upon FGF2 stimulation. Northern blots and RT-PCR showed specific expression of ccp1 in multiple tissues including adult and embryonic brains. In situ hybridizations revealed that ccp1 was expressed in the cortical plate between Reelin and Tbr1-positive layers in the dorsal cortex at E15.5. Furthermore, the expression pattern of ccp1 at E13.5-E14.5 reflected some of the aspects of tangential migration of cortical progenitors during the early phase. We observed that the expressed ccp1 protein was localised to endo/lysosomal compartment in the cell body as well as to vesicles present in the processes of primary cortical neurons and oligodendrocyte cell line.

Amino Acid Motifs↗

Molecular cloning, identification and characteristics of a novel isoform of carbamyl phosphate synthetase I in human testis.

A gene coding a novel isoform of carbamyl phosphate synthetase I (CPS1) was cloned from a human testicular library. As shown by cDNA microarray hybridization, this gene was expressed at a higher level in human adult testes than in fetal testes. The full length of its cDNA was 3831 bp, with a 3149 bp open reading frame, encoding a 1050-amino-acid protein. The cDNA sequence was deposited in the GenBank (AY317138). Sequence analysis showed that it was homologous to the human CPS1 gene. The putative protein contained functional domains composing the intact large subunit of carbamoyl phosphate synthetase, thus indicated it has the capability of arginine biosynthesis. A multiple tissue expression profile showed high expression of this gene in human testis, suggesting the novel alternative splicing form of CPS1 may be correlated with human spermatogenesis.

Adult↗

Differential gene expression in breast cancer cell lines and stroma-tumor differences in microdissected breast cancer biopsies revealed by display array analysis.

To examine gene-expression patterning in late-stage breast cancer biopsies, we used a microdissection technique to separate tumor from the surrounding breast tissue or stroma. A DD-PCR protocol was then used to amplify expressed products, which were resolved using PAGE and used as probe to hybridize with representative human arrays and cDNA libraries. The probe derived from the tumor-stroma comparison was hybridized with a gene array and an arrayed cDNA library derived from a GCT of bone; 21 known genes or expressed sequence tags were detected, of which 17 showed differential expression. These included factors associated with epithelial to mesenchymal transition (vimentin), the cargo selection protein (TIP47) and the signal transducer and activator of transcription (STAT3). Northern blot analysis was used to confirm those genes also expressed by representative breast cancer cell lines. Notably, 6 genes of unknown function were restricted to tumor while the majority of stroma-associated genes were known. When applied to transformed breast cancer cell lines (MDA-MB-435 and T47D) that are known to have different metastatic potential, DD array analysis revealed a further 20 genes; 17 of these genes showed differential expression. Use of microdissection and the DD-PCR array protocol allowed us to identify factors whose localized expression within the breast may play a role in abnormal breast development or breast carcinogenesis.

Biomarkers, Tumor↗

Regional and total body bone mineral content, bone mineral density, and total body tissue composition in children 8-16 years of age.

Normative values for total body bone mineral content (TBBM) and total body bone mineral density (TBMD) were derived from measurements on 234 children 8-16 years of age. In addition, bone mineral content (BMC) and bone mineral density (BMD) values for selected regions of interest and soft tissue (bone free lean and fat) for the total body are presented. Bone mineral and soft tissue values were determined by dual energy X-ray absorptiometry (DXA) using a Hologic QDR-2000 in the array mode. Results of a stepwise multiple regression analysis revealed a significant correlation between bone-free lean tissue (BFLT) and BMD (r2 = 0.80) in girls. Adding age to the equation accounted for an additional 2% of the variance (P < 0.05) and height accounted for another 1% of the variance (P < 0.05). Body weight and fat tissue (FT) did not account for any additional variance. In boys BFLT correlated significantly with BMD (r2 = 0.75; P < 0.05); none of the other predictor variables accounted for additional variance. No significant differences were found in TBBM or TBMD between boys and girls at any age. There was a significant overall gender effect for only three regions of interest. Boys had greater BMC in the head region and had greater BMD in the upper limbs, but post hoc analysis revealed no significant differences for any specific age groups. Girls had greater overall BMD in the pelvis, but this difference was only significant at the 15-16-year age group. The changes in BFLT and FT over the age ranges were consistent with the growth literature.(ABSTRACT TRUNCATED AT 250 WORDS)

Absorptiometry, Photon↗

Regulation of insulin-like growth factor-binding proteins in the baboon (Papio anubis) uterus during early pregnancy.

The baboon uterus begins to synthesize insulin-like growth factor-binding protein-1 (IGFBP-1) in the deep glands of the late secretory endometrium, and this protein then becomes the major secretory product of the term decidua. We hypothesized that the placenta and/or conceptus may regulate the synthesis and secretion of IGFBP-1 by decidualized stromal cells during pregnancy. To test this hypothesis, tissue was obtained from pregnant baboons on days 18, 25, and 32 postovulation. The uterus was separated into three regions: RI (directly below the implantation site), RII (adjacent to the implantation site), and RIII (opposite the implantation site). Portions of the tissue were fixed in Bouin's solution for immunocytochemistry, and the remainder was subdivided into functionalis, basalis, and myometrium and subjected to organ explant culture. The placenta was fixed or cultured separately. Ligand blot analysis of functionalis medium showed that the major IGFBP had a mol wt (Mr) of 29,000-31,000; however, a doublet of 37,000-43,000 Mr and a band at 24,000 Mr were also present. The functionalis from all regions expressed the majority of the IGFBPs, but basalis from RI tissue also secreted the same array of IGFBPs on days 25 and 32. Ligand blot analysis of placental medium proteins revealed a doublet at Mr 37,000-43,000 on days 25 and 32, but not on day 18. Immunoprecipitation followed by ligand blot analysis of medium proteins using polyclonal antibodies to IGFBP-1 and IGFBP-2 and -3 confirmed that IGFBP-1 and -2 were the predominant products of the endometrium and decidua, while IGFBP-3 was synthesized by the placenta. Immunocytochemistry with a monoclonal antibody to IGFBP-1 demonstrated intense glandular epithelial staining in all regions on days 18, 25, and 32. Stromal staining for IGFBP-1 was first evident on day 25 and was only present in stromal cells in intimate contact with the trophoblastic tissue. By day 32, IGFBP-1 expression was not limited to the endometrial-trophoblastic junction, but extended to the deeper stromal cells and included the perivascular regions. IGFBP-1 staining was most intense in RI, but stromal cells at the luminal surface and those surrounding the spiral arteries also showed some staining in RII and RIII on day 32. These studies suggest that the baboon placenta and/or conceptus regulate IGFBP expression in the uterine endometrium during the initial stages of pregnancy.(ABSTRACT TRUNCATED AT 400 WORDS)

Animals↗

Wound healing and inflammation genes revealed by array analysis of 'macrophageless' PU.1 null mice.

BACKGROUND: Wound healing is a complex process requiring the collaborative efforts of different tissues and cell lineages, and involving the coordinated interplay of several phases of proliferation, migration, matrix synthesis and contraction. Tissue damage also triggers a robust influx of inflammatory leukocytes to the wound site that play key roles in clearing the wound of invading microbes but also release signals that may be detrimental to repair and lead to fibrosis. RESULTS: To better define key cellular events pivotal for tissue repair yet independent of inflammation we have used a microarray approach to determine a portfolio of over 1,000 genes expressed across the repair response in a wild-type neonatal mouse versus its PU.1 null sib. The PU.1 null mouse is genetically incapable of raising the standard inflammatory response, because it lacks macrophages and functioning neutrophils, yet repairs skin wounds rapidly and with reduced fibrosis. Conversely, by subtraction, we have determined genes that are either expressed by leukocytes, or upregulated by fibroblasts, endothelial cells, muscle cells and others at the wound site, as a consequence of inflammation. To determine the spatial expression pattern for several genes in each cluster we have also performed in situ hybridization studies. CONCLUSIONS: Cluster analysis of genes expressed after wounding wild-type mice versus PU.1 null sibs distinguishes between tissue repair genes and genes associated with inflammation and its consequences. Our data reveal and classify several pools of genes, giving insight into their likely functions during repair and hinting at potential therapeutic targets.

Animals↗

Classification and expression analysis of Arabidopsis F-box-containing protein genes.

F-box proteins regulate diverse cellular processes, including cell cycle transition, transcriptional regulation and signal transduction, by playing roles in Skp1p-cullin-F-box protein (SCF) complexes or non-SCF complexes. F-box proteins are encoded by a large gene family. Our database search revealed that at least 568 F-box protein genes are present in the Arabidopsis thaliana (Arabidopsis) genome. Domain search analysis using SMART and Pfam-A databases revealed that 67 of the F-box proteins contained Kelch repeats and 29 contained leucine-rich repeats (LRRs). Interestingly only two F-box proteins contained WD40 repeats that are found in many F-box proteins of other organisms. Kelch repeats, LRRs and WD40 repeats are implicated in protein-protein interactions. This analysis also resulted in the finding of several unique functional domains; however, 448 of the F-box proteins did not contain any known domains. Therefore, these proteins were used to search the Pfam-B database to find novel domains, and three putative ones were found. These domain search analyses led us to classify the Arabidopsis F-box proteins into at least 19 groups based on their domain structures. Macro array analysis showed that several F-box protein genes are expressed in a tissue-specific manner.

Arabidopsis↗

Gene expression analysis in microdissected renal tissue. Current challenges and strategies.

The architecture and compartmentalization of the kidney has stimulated the development of an array of microtechniques to study the functional differences between the distinct nephron segments. With the vast amounts of genomic sequence data now available, the groundwork has been laid for a comprehensive characterization of the molecular pathways defining the differences in nephron function. With the development of sensitive gene expression techniques the tools for a comprehensive molecular analysis of specific renal microenvironments have been provided: Quantitative RT-PCR technologies now allow the analysis of specific mRNAs from as little as single microdissected renal cells. A more global view of gene expression regulation is a logical development from the application of large scale profiling techniques. In this review, we will discuss the power and pitfalls of these approaches, including their potential for the functional characterization of nephron heterogeneity and diagnostic application in renal disease.

Dissection↗

Gene family analysis of the Arabidopsis pollen transcriptome reveals biological implications for cell growth, division control, and gene expression regulation.

Upon germination, pollen forms a tube that elongates dramatically through female tissues to reach and fertilize ovules. While essential for the life cycle of higher plants, the genetic basis underlying most of the process is not well understood. We previously used a combination of flow cytometry sorting of viable hydrated pollen grains and GeneChip array analysis of one-third of the Arabidopsis (Arabidopsis thaliana) genome to define a first overview of the pollen transcriptome. We now extend that study to approximately 80% of the genome of Arabidopsis by using Affymetrix Arabidopsis ATH1 arrays and perform comparative analysis of gene family and gene ontology representation in the transcriptome of pollen and vegetative tissues. Pollen grains have a smaller and overall unique transcriptome (6,587 genes expressed) with greater proportions of selectively expressed (11%) and enriched (26%) genes than any vegetative tissue. Relative gene ontology category representations in pollen and vegetative tissues reveal a functional skew of the pollen transcriptome toward signaling, vesicle transport, and the cytoskeleton, suggestive of a commitment to germination and tube growth. Cell cycle analysis reveals an accumulation of G2/M-associated factors that may play a role in the first mitotic division of the zygote. Despite the relative underrepresentation of transcription-associated transcripts, nonclassical MADS box genes emerge as a class with putative unique roles in pollen. The singularity of gene expression control in mature pollen grains is further highlighted by the apparent absence of small RNA pathway components.

Arabidopsis↗

Profiling of genes which are differentially expressed in mouse liver in response to adenoviral vectors and delivered genes.

The effects of transgene delivery by adenoviral vectors were studied by probing a 588 gene, mouse cDNA array with mRNA derived from infected liver. The liver tissues were obtained from naive mice and mice infected with replication-deficient adenovirus, adenovirus expressing transforming growth factor beta1 (TGFbeta1), and adenovirus expressing connective tissue growth factor (CTGF). Expression of 98 genes was detected in the array analysis. The increased expression of the transcripts for Stat1, gamma interferon-induced monokine (MIG) and interferon regulatory factor 1 (IRF1) clearly demonstrated the immune response induced by infection with a first generation, replication-incompetent adenovirus. In vivo expression of TGFbeta1 led to a down-regulation of genes involved in the immune response. The increased expression of u-PAR1, laminin receptor and BMP-1 confirms the importance of CTGF and TGFbeta1 in angiogenesis, and tissue repair. Expression of the serine protease inhibitors, Spi 2.4 and Spi 2, is also increased in response to AdTGFbeta1 and AdCTGF.

Adenoviridae↗

TMABoost: an integrated system for comprehensive management of tissue microarray data.

In the last decade, high-throughput technologies such as DNA and tissue microarrays (TMAs) have become a means of large-scale investigation of gene expression, providing a plethora of new biomedical data in a relatively short time. Data collection and organization are critical aspects in this process to ensure the quality and reliability of future data interpretation. In this work, we propose a comprehensive approach to handle TMA data with the aim of supporting and promoting biomarker development. We describe a web-based system for the complete management of tissue microarray data in the field of pathology. The system has been in use since June, 2003. Our approach includes automatic localization and identification of tissue microarray samples, and quantitative image analysis that allows high-throughput screening of TMAs by ensuring nonsubjective measures and novel prognosis associations. In this paper, we present the architecture and the components of this system.

Algorithms↗

Gene expression profiling of cancer by use of DNA arrays: how far from the clinic?

DNA arrays allow the simultaneous analysis of expression levels for thousands of genes in normal and pathological tissues and hold great promise in molecular medicine, notably in cancer research. The great biological and clinical diversity present in human tumours is poorly characterised by the current classification systems. DNA arrays can provide a better understanding of oncogenesis, leading to improvements in cancer management. First, the identification of new target genes and pathways will allow the development of specific molecular-based anticancer drugs. Secondly, expression profiles will permit tumour classification in more homogeneous diagnostic and prognostic groups, as well as the identification of new clinically and biologically relevant tumour subclasses. Here, we review the technology and present some cancer studies with promising results. Finally, we discuss some of the issues that must be resolved in the near future, so that DNA arrays can fulfil the aims mentioned above.

Gene Expression Profiling↗

Evaluation of MetriGenix custom 4D arrays applied for detection of breast cancer subtypes.

BACKGROUND: Previously, a total of five breast cancer subtypes have been identified based on variation in gene expression patterns. These expression profiles were also shown to be associated with different prognostic value. In this study tumour samples from 27 breast cancer patients, previously subtyped by expression analysis using DNA microarrays, and four controls from normal breast tissue were included. A new MetriGenix 4D array proposed for diagnostic use was evaluated. METHODS: We applied MetriGenix custom 4D arrays for the detection of previously defined molecular subtypes of breast cancer. MetriGenix 4D arrays have special features including probe immobilization in microchannels with chemiluminescence detection that enable shorter hybridization time. RESULTS: The MetriGenix 4D array platform was evaluated with respect to both the accuracy in classifying the samples as well as the performance of the system itself. In a cross validation analysis using "Nearest Shrunken Centroid classifier" and the PAM software, 77% of the samples were classified correctly according to earlier classification results. CONCLUSION: The system shows potential for fast screening; however, improvements are needed.

Breast Neoplasms↗

Molecular techniques for studying gene expression in carcinogenesis.

Many genes and signaling pathways controlling cell proliferation, death, differentiation, and genomic integrity are involved in cancer development. Various methods are available for detection and quantification of messenger RNA. Older methods such as Northern blots, nuclease protection, plaque hybridization, and slot blots suffer from being inherently serial, measure a single mRNA at a time, or being difficult to automate. New techniques for analysis of gene expression include: (a) comprehensive open systems such as serial analysis of gene expression (SAGE), differential display (DD) analysis, RNA arbitrarily primer (RAP)-PCR, restriction endonucleolytic analysis of differentially expressed sequences (READS), amplified restriction fragment-length polymorphism (AFLP), total gene expression analysis (TOGA), and use of internal standard competitive template primers (CTs) in a quantitative multiplex RT-PCR method [StaRT-(PCR)], and (b) focused closed systems such as: high density cDNA filter hybridization (HDFCA) analysis, suppression subtractive hybridization (SSH), differential screening (DS), several forms of high-density cDNA arrays, or oligonucleotide chips, and tissue microarrays. Sometimes, a combination of these systems is used to enhance the sensitivity and specificity of the assays. While closed systems are excellent for the initial screening of large number of sequences, the value of the information generated is generally limited to an often arbitrarily chosen known sequence. On the other hand, only the open system platform has the potential to evaluate the expression patterns of tens of thousands of genes that have not yet been cloned or partially sequenced in a quantitative manner. A cost analysis of the most commonly used expression technologies is provided. A method for purifying tumors from surrounding stroma and normal tissue employing laser microdissection, and subsequent RNA isolation/amplification from few cells employing sensitive kits are also discussed.

Cell Transformation, Neoplastic↗

cDNA microarray-based translational research in soft tissue sarcoma.

The authors discuss application of cDNA microarray technology in translational research to identify diagnostic markers and therapeutic targets in adult soft tissue sarcoma. Recent results in synovial sarcoma are used to highlight the applicability of this technology for marker and target discovery, as well as the need for preclinical validation of putative therapeutic targets.

Adult↗

Changes in tumorigenesis- and angiogenesis-related gene transcript abundance profiles in ovarian cancer detected by tailored high density cDNA arrays.

BACKGROUND: Complementary DNA array analysis of gene expression has a potential application for clinical diagnosis of disease processes. However, accessibility, affordability, reproducibility of results, and management of the data generated remain issues of concern. Use of cDNA arrays tailored for studies of specific pathways, tissues, or disease states may render a cost- and time-effective method to define potential hallmark genotype alterations. MATERIALS AND METHODS: We produced a 332-membered human cDNA array on nylon membranes tailored for studies of angiogenesis and tumorigenesis in reproductive disease. We tested the system for reproducibility using a novel statistical approach for analysis of array data and employed the arrays to investigate gene expression alterations in ovarian cancer. RESULTS: Intra-assay analysis and removal of agreement outliers was shown to be a critical step prior to interpretation of cDNA array data. The system revealed highly reproducible results, with intermembrane coefficient of reproducibility of +/- 0.98. Comparison of placental and ovarian sample data confirmed expected differences in angiogenic profiles and tissue-specific markers, such as human placental lactogen (hPL). Analysis of expression profiles of five normal ovary and four poorly differentiated serous papillary ovarian adenocarcinoma samples revealed an overall increase in angiogenesis-related markers, including vascular endothelial growth factor (VEGF) and angiopoietin-1 in the diseased tissue. These were accompanied by increases in immune response mediators (e.g. HLA-DR, Ron), apoptotic and neoplastic markers (e.g. BAD protein, b-myb), and novel potential markers of ovarian cancer, such as cofilin, moesin, and neuron-restrictive silencer factor (REST) protein. CONCLUSIONS: In-house production of tailored cDNA arrays, coupled to comprehensive analysis of resulting hybridization profiles, provides an accessible, reliable, and highly effective method of applying array technology to study disease processes. In the ovary, abundance of specific tumor markers, increased macrophage recruitment mediators, a late-stage angiogenesis profile, and the presence of chemoresistance-related markers distinguished normal and advanced ovarian cancer tissue samples. Detection of such parallel changes in pathway- and tissue-specific markers may prove a hallmark ready for application in reproductive disease diagnostic and therapeutic developments.

Biomarkers, Tumor↗