Serial Analysis Of Gene Expression Tags Research Articles

Annotating nonspecific SAGE tags with microarray data

SAGE (serial analysis of gene expression) detects transcripts by extracting short tags from the transcripts. Because of the limited length, many SAGE tags are shared by transcripts from different genes. Relying on sequence information in the general gene expression database has limited power to solve this problem due to the highly heterogeneous nature of the deposited sequences. Considering that the complexity of gene expression at a single tissue level should be much simpler than that in the general expression database, we reasoned that by restricting gene expression to tissue level, the accuracy of gene annotation for the nonspecific SAGE tags should be significantly improved. To test the idea, we developed a tissue-specific SAGE annotation database based on microarray data ( www.basic.northwerstern.edu/SAGE). This database contains microarray expression information represented as UniGene clusters for 73 normal human tissues and 18 cancer tissues and cell lines. The nonspecific SAGE tag is first matched to the database by the same tissue type used by both SAGE and microarray analysis; then the multiple UniGene clusters assigned to the nonspecific SAGE tag are searched in the database under the matched tissue type. The UniGene cluster presented solely or at higher expression levels in the database is annotated to represent the specific gene for the nonspecific SAGE tags. The accuracy of gene annotation by this database was largely confirmed by experimental data. Our study shows that microarray data provide a useful source for annotating the nonspecific SAGE tags.

Genes Similarly Abnormally Expressed in Both Human and Murine MLL-Associated Leukemia.

Although more than 50 different loci translocate to the MLL gene at chromosome band 11q23, resulting in either acute myeloid leukemia (AML) or acute lymphoblastic leukemia (ALL), no unifying property is shared by all partner genes. The translocations result in a functional fusion of the N-terminal part of MLL gene and the C-terminal part of each partner gene, presumably leading to changes in the expression of the normal target genes, most of which have not been identified. Although genetically engineered mouse leukemia models have been widely used, few systematic studies have evaluated whether such models are valid equivalents of human leukemia. We used serial analysis of gene expression (SAGE) to obtain genome-wide gene expression profiles in normal myeloid progenitor cells from human CD15+ and mouse Gr-1+ cells. We also analyzed four patient samples (two with each fusion) and two retrovirally-induced mouse leukemias containing either MLL-ELL [t(11;19)(q23;p13.1)] or MLL-ENL [t(11;19)(q23;p13.3)] fusions, and a cell line from a leukemia mouse transduced with an MLL-ELL fusion. MLL-ELL and MLL-ENL fusions are frequently involved in human AML, while MLL-ENL is also seen in human ALL. 484,303 SAGE tags were identified from the nine samples (40,000 to 100,000 tags per sample), yielding 103,899 unique SAGE tags in the human and 60,993 in the mouse samples. Analysis of the SAGE data identified 43 candidate genes that appear to be abnormally expressed in both human and mouse myeloid leukemia progenitor cells with either MLL-ELL or MLL-ENL fusions (9 up-regulated and 34 down-regulated; Table 1). Increasing evidence suggests that endogenous antisense RNAs may play critical roles in gene regulation and cancer. Natural antisense RNAs include cis-encoded antisense RNAs transcribed from the opposite strand of the same genomic locus as the sense target genes, and trans-encoded antisense RNAs such as microRNAs (miRNAs) transcribed from a genomic locus different from the sense target genes. 26 of the 43 candidate genes have antisense partners (with a total of 7 cis-encoded antisense RNAs and 36 trans-encoded miRNAs) and thereby might be regulated by endogenous antisense RNAs. We are currently validating the expression pattern of the 43 candidate genes in at least 30 different human and mouse leukemia and normal control samples with quantitative RT-PCR, and measuring the level of expression of all known miRNAs via microarray in these samples. Our studies on the abnormally expressed genes and their potential antisense partners will provide important insights into the complex functional pathways related to MLL rearrangements in the development of acute leukemia, which may lead to more effective therapy for these leukemias.Table 1Genes deregulated in both human and mouse leukemiasaTotal numberUp-regulated genesDown-regulated genesGenes with antisense partner(s)In MLL-ELL fusions2112012In MLL-ENL fusions3382521In both types of fusions110117Total unique genes4393426aThe genes have at least 3 fold difference in expression with a significance P < 0.05 between each leukemia sample and the normal control sample.

Characterization of a complex genomic alteration on chromosome 2p that leads to four alternatively spliced fusion transcripts in the neuroblastoma cell lines IMR-5, IMR-5/75 and IMR-32

Genetic aberrations in neuroblastoma (NB) have been extensively characterized over the last years. Alterations of the short arm of chromosome 2 (2p) have been of particular interest, since amplification of the MYCN oncogene on 2p24 is associated with an adverse outcome in NB patients. Here, we report on the characterization of a novel genomic rearrangement involving genetic material from 2p13 and 2p24 in NB cell lines that was discovered based on a serial analysis of gene expression (SAGE) profile of the MYCN-amplified NB cell line IMR-5. By analysis of a highly expressed SAGE tag not matching a Unigene cluster we identified four alternatively spliced corresponding transcripts, each of which consisted of the first 14 exons of the anthrax toxin receptor 1 gene (2p13.1) and varying combinations of exons of an unidentified gene located 1.3 Mb telomeric of MYCN (2p24.3) that was termed novel neuroblastoma gene 1. By Southern Blotting, Fluorescent In Situ Hybridization and Long Distance Inverse-PCR we disclosed that these transcripts result from a genomic alteration including material from distinct regions of chromosome 2p and four genomic breakpoints that are joined by short sequences of unknown origin. Furthermore, we show that this rearrangement lies within the homogeneous staining regions (HSR) in IMR-32 cells and is prevalent in both IMR-32 cells and their sub-clones IMR-5 and IMR-5/75, but not in a panel of 70 primary NB tumors. Our work is the first study discovering a fusion transcript based on a SAGE profile and for the first time precisely describes the DNA sequence of amplified breakpoint regions in NB.

Radiation‐induced changes in gene expression in the silkworm revealed by serial analysis of gene expression (SAGE)

Serial analysis of gene expression (SAGE) was used to examine the profile of expressed genes during embryonic development in the domesticated silkworm, Bombyx mori, after irradiation with Cobalt-60. A comparison of the SAGE sequence tags derived from irradiated embryos with those from normal embryos revealed 673 differentially expressed genes (P < 0.01 and at least three folds change). Of these, 292 genes were highly expressed in normal embryos and 381 genes were highly expressed in irradiated embryos. These results provide valuable information for understanding the mechanisms of radiation-induced changes in gene expression. In addition, it was noted that the generation of longer cDNA fragments from SAGE tags is an efficient way to identify genes, thereby facilitating the analysis of large numbers of unknown genes.

TAGmapper: A web-based tool for mapping SAGE tags

Serial Analysis of Gene Expression (SAGE) is an important means of obtaining quantitative information about expression of genes in different samples. Short SAGE tags are 10 nucleotides long and often contain enough information to uniquely identify the gene(s) corresponding to the tag. We have observed, however, that the currently available resources are not adequate for accurate mapping of all SAGE tags to genes. Here, we describe development of a web-based tool called TAGmapper ( http://tagmapper.ibioinformatics.org), which provides a comprehensive and accurate mapping of SAGE tags to genes. We were able to map SAGE tags accurately in several instances where two other popular resources, SAGEmap ( http://www.ncbi.nlm.nih.gov/projects/SAGE/) and SAGE Genie ( http://cgap.nci.nih.gov/SAGE), provided incorrect or no assignment of tags to genes. Finally, we experimentally determined the expression of a subset of genes assigned by TAGmapper using DNA microarrays and/or quantitative PCR to confirm the reliability of the gene mappings. We anticipate that TAGmapper will be a useful tool in functional genomic approaches by providing accurate identification of genes in SAGE experiments.

WEBSAGE: a web tool for visual analysis of differentially expressed human SAGE tags

The serial analysis of gene expression (SAGE) is a powerful method to compare gene expression of mRNA populations. To provide quantitative expression levels on a genome-wide scale, the Cancer Genome Anatomy Project (CGAP) uses SAGE. Over 7 million SAGE tags, from 171 human cell types have been assembled. The growing number of laboratories involved in SAGE research necessitates the use of software that provides statistical analysis of raw data, allowing the rapid visualization and interpretation of results. We have created the first simple tool that performs statistical analysis on SAGE data, identifies the tags differentially expressed and shows the results in a scatter plot. It is freely available and accessible at .

Serial analysis of gene expression in the silkworm, Bombyx mori

The silkworm Bombyx mori is one of the most economically important insects and serves as a model for Lepidoptera insects. We used serial analysis of gene expression (SAGE) to derive profiles of expressed genes during the developmental life cycle of the silkworm and to create a reference for understanding silkworm metamorphosis. We generated four SAGE libraries, one from each of the four developmental stages of the silkworm. In total we obtained 257,964 SAGE tags, of which 39,485 were unique tags. Sorted by copy number, 14.1% of the unique tags were detected at a median to high level (five or more copies), 24.2% at lower levels (two to four copies), and 61.7% as single copies. Using a basic local alignment search tool on the EST database, 35% of the tags matched known silkworm expressed sequence tags. SAGE demonstrated that a number of the genes were up- or down-regulated during the four developmental phases of the egg, larva, pupa, and adult. Furthermore, we found that the generation of longer cDNA fragments from SAGE tags constituted the most efficient method of gene identification, which facilitated the analysis of a large number of unknown genes.

Evaluation of the similarity of gene expression data estimated with SAGE and Affymetrix GeneChips

BackgroundSerial Analysis of Gene Expression (SAGE) and microarrays have found awidespread application, but much ambiguity exists regarding the evaluation of these technologies. Cross-platform utilization of gene expression data from the SAGE and microarray technology could reduce the need for duplicate experiments and facilitate a more extensive exchange of data within the research community. This requires a measure for the correspondence of the different gene expression platforms. To date, a number of cross-platform evaluations (including a few studies using SAGE and Affymetrix GeneChips) have been conducted showing a variable, but overall low, concordance. This study evaluates these overall measures and introduces the between-ratio difference as a concordance measure pergene.ResultsIn this study, gene expression measurements of Unigene clusters represented by both Affymetrix GeneChips HG-U133A and SAGE were compared using two independent RNA samples. After matching of the data sets the final comparison contains a small data set of 1094 unique Unigene clusters, which is unbiased with respect to expression level. Different overall correlation approaches, like Up/Down classification, contingency tables and correlation coefficients were used to compare both platforms. In addition, we introduce a novel approach to compare two platforms based on the calculation of differences between expression ratios observed in each platform for each individual transcript. This approach results in a concordance measure per gene (with statistical probability value), as opposed to the commonly used overall concordance measures between platforms.ConclusionWe can conclude that intra-platform correlations are generally good, but that overall agreement between the two platforms is modest. This might be due to the binomially distributed sampling variation in SAGE tag counts, SAGE annotation errors and the intensity variation between probe sets of a single gene in Affymetrix GeneChips. We cannot identify or advice which platform performs better since both have their (dis)-advantages. Therefore it is strongly recommended to perform follow-up studies of interesting genes using additional techniques. The newly introduced between-ratio difference is a filtering-independent measure for between-platform concordance. Moreover, the between-ratio difference per gene can be used to detect transcripts with similar regulation on both platforms.

Gene expression analysis of Tek/Tie2 signaling

The elaboration of the vasculature during embryonic development involves restructuring of the early vessels into a more complex vascular network. Of particular importance to this vascular remodeling process is the requirement of the Tek/Tie2 receptor tyrosine kinase. Mouse gene-targeting studies have shown that the Tie2-deficient embryos succumb to embryonic death at midgestation due to insufficient sprouting and remodeling of the primary capillary plexus. To identify the underlying genetic mechanisms regulating the process of vascular remodeling, transcriptomes modulated by Tie2 signaling were analyzed utilizing serial analysis of gene expression (SAGE). Two libraries were constructed and sequenced using embryonic day 8.5 yolk sac tissues from Tie2 wild-type and the Tie2-null littermates. After tag extraction, 45,689 and 45,275 SAGE tags were obtained for the Tie2 wild-type and Tie2-null libraries, respectively, yielding a total of 21,376 distinct tags. Close to 62% of the tags were uniquely annotated, whereas 10% of the total tags were unknown. Using semiquantitative PCR, the differential expression of eight genes was confirmed that included Elk3, an important angiogenic switch gene which was upregulated in the absence of Tie2 signaling. The results of this study provide valuable insight into the potential association between Tie2 signaling and other known angiogenic pathways as well as genes that might have novel functions in vascular remodeling.

Comparison of the Transcript Profiles from the Root and the Nodulating Root of the Model Legume Lotus japonicus by Serial Analysis of Gene Expression

We performed a comprehensive transcript analysis on the early stage of root nodulation in the model legume Lotus japonicus by serial analysis of gene expression (SAGE). SAGE libraries were made from uninfected roots and nodulating roots abundant in nodule primordia, and 85,482 and 80,233 SAGE tags were recovered, respectively. Comparison of the tag frequency identified 407 tag species that appeared in significantly greater numbers in the nodulating root than in the uninfected root, and the converse was found for 428 tag species. Gene identification of the tags was performed by matching them to L. japonicus expressed sequence tag sequences. We made several novel findings by applying SAGE to transcript analysis of legume root nodulation. A gene that showed the most significant increase in tag number upon nodulation has not been described previously. Different levels of transcription induction among leghemoglobin gene paralogs were found, indicating the effectiveness of SAGE in discriminating different gene family members. We identified genes for 44 unknown tags by means of reverse SAGE. We found 11 antisense tags that increased during nodulation, indicating that regulation of gene expression by antisense transcripts may occur in an organ-dependent manner.

An evaluation of serial analysis of gene expression (SAGE) in the parasitic nematode, Haemonchus contortus

This study evaluated a relatively new molecular technique, serial analysis of gene expression (SAGE), as a tool for quantifying gene expression in the ovine abomasal nematode Haemonchus contortus for which there is relatively limited (approximately 20% gene coverage) sequence information. SAGE technology generates data that are both qualitative and quantitative and, as such, compliments other functional genomics approaches such as EST analysis and micro-array. Prior to embarking on large-scale comparisons, the present study was initiated to establish (i) how well SAGE and EST data taken from the same life-cycle stage would compare, (ii) how easily SAGE tags could be assigned to genes given that the genome sequence is not available and (iii) whether it would be possible to extend the sequences of the SAGE tags to facilitate their identification. Of 2825 tag sequences analysed from adults harvested 28 days post-infection, the identity of the encoding gene could be ascribed to 63% of the tags. The relative abundance of these genes, arbitrarily categorized on the basis of function, was comparable with that of an EST dataset also from adults (n = 2317). In addition, tag sequences could be readily extended and thereby identified using a tag-based primer and Reverse Transcription-PCR.

A comparative analysis of transcript abundance using SAGE and Affymetrix arrays

A number of methods are currently used for gene expression profiling. They differ in scale, economy and sensitivity. We present the results of a direct comparison between serial analysis of gene expression (SAGE) and the Barley1 Affymetrix GeneChip. Both technology platforms were used to obtain quantitative measurements of transcript abundance using identical RNA samples and assessed for their ability to quantify differential gene expression. For SAGE, a total of 82,122 tags were generated from two independent libraries representing whole developing barley caryopsis and dissected embryos. The Barley1 GeneChip contains 22,791 probe sets. Results obtained from both methods are generally comparable, indicating that both will lead to similar conclusions regarding transcript levels and differential gene expression. However, excluding singletons, 24.4% of the unique SAGE tags had no corresponding probe set on the Barley1 array indicating that a broader snapshot of gene expression was obtained by SAGE. Discrepancies were observed for a number of "genes" and these are discussed.

Iron‐regulated transcription and capsule formation in the fungal pathogen Cryptococcus neoformans

Cryptococcus neoformans is the leading cause of fungal meningitis in humans. Production of a polysaccharide capsule is a key virulence property for the fungus and capsule synthesis is regulated by iron levels. Given that iron acquisition is an important aspect of virulence for many pathogens, we employed serial analysis of gene expression (SAGE) to examine the transcriptome under iron-limiting and iron-replete conditions. Initially, we demonstrated by SAGE and Northern analysis that iron limitation results in an elevated transcript level for the CAP60 gene that is required for capsule production. We also identified genes encoding putative components for iron transport and homeostasis, including the FTR1 (iron permease) gene, with higher transcript levels in the low-iron condition. An FTR1 disruption mutant grows more slowly than wild-type cells in low-iron medium, and shows delayed growth and altered capsule regulation in iron-replete medium. Iron deprivation also resulted in elevated SAGE tags for putative extracellular mannoproteins and the GPI8 gene encoding a glycosylphosphatidylinositol (GPI) transamidase. The GPI8 gene appears to be essential while disruption of the CIG1 gene encoding a mannoprotein resulted in impaired growth in low-iron medium and altered capsule response to the iron-replete condition. Additionally, we found that iron-replete conditions led to elevated transcripts for genes for iron storage, nitrogen metabolism, glycolysis, mitochondrial function, lipid metabolism and calmodulin-calcineurin signalling. Overall, these studies provide the first view of the C. neoformans transcriptional response to different iron levels.

Systematic Identification of Human Melanoma Antigens Using Serial Analysis of Gene Expression (SAGE)

To identify new melanoma antigens using systematic gene expression analysis combined with rapid screening of patient sera for immunogenicity, a serial analysis of gene expression (SAGE) method was applied to profile transcripts in a highly pigmented melanoma cell line SKmel23. 25,997 SAGE tags consisting of 10,382 unique transcripts were sequenced. This melanoma SAGE library was compared with a testis SAGE library and the colon SAGE database, and to the cDNA database obtained by random sequencing of a melanocyte cDNA library. Among the 15 tags finally selected with criteria of preferential expression on melanoma and melanocytes at relatively high frequency, two tags were further analyzed for their structure and immunogenicity. One was identified as PAX3, and its isoform, PAX3d, was found to be dominantly expressed in melanoma and melanocytes. The other was derived from a novel gene and its full-length cDNA clone was isolated. Preferential expression of these genes in melanoma and melanocytes was confirmed by RT-PCR and Northern blot analysis. The recombinant bacterial PAX3d protein was recognized by serum IgG from some patients with melanoma and Vogt-Koyanagi-Harada (VKH) disease but not from healthy individuals, indicating that PAX3d is a new melanocyte-specific antigen immunogenic in patients with melanoma or VKH disease. The authors report two melanocyte/melanoma-specific molecules, which may be useful for development of diagnosis or treatment of these pigment disorders. In addition, a system using SAGE and immunoscreening with patients' sera is shown to be an efficient method for the systematic identification of tumor antigens.

213 SAGE ANALYSIS OF TRANSITIONS IN THE PORCINE CONCEPTUS TRANSCRIPTOME DURING TROPHECTODERM ELONGATION

Rapid elongation of the pre-implantation conceptus trophectoderm between gestational days 11 and 12 represents a critical developmental period in swine. Serial analysis of gene expression (SAGE) in ovoid (Ovd; 7 mm diameter) and filamentous (Fil; 150 mm length) conceptuses has identified unique transcriptomes associated with these transitional states. The initial utility of SAGE prompted an investigation of the intermediate tubular conceptus (Tub; 15–20 mm length) as well as the development of micro-SAGE methodologies, small-amplified RNA-SAGE (SAR-SAGE) and PCR-amplified SAGE (m-SAGE), for future use with early pre-implantation conceptus stages. Total RNA from in vivo-derived Tub conceptuses was used to construct an unamplified SAGE library (Tub SAGE) and two micro-SAGE libraries (160X less template RNA) by SAR-SAGE and m-SAGE. Comparative analyses of the amplification proportionality between the Tub SAGE and amplified libraries, consisting of 12,000 tags each, demonstrated that SAR-SAGE was a more reliable amplification method. Seventy-five percent of the SAR-SAGE tags, in contrast to 43% of m-SAGE tags, had less than a 2-fold frequency difference when compared to Tub SAGE tags occurring at least 10 times in a library. The Tub SAGE library size was extended to a total of 42,415 tags representing 12,779 unique putative transcripts. Comparing the Tub SAGE tags with previously generated Ovd and Fil SAGE libraries (NCBI GEO Acc. Nos. GSM24470 and GSM24471, respectively) yielded a total of 33,191 unique tags, of which 3,575 tags (10.8%) were common to all three libraries. Chi-square-based analyses (SAGE2000 software; 1997 Gen. Res. 7, 986–995) of the tag frequencies revealed the differential expression of 479 tags between Ovd:Tub libraries and 362 tags between Tub:Fil libraries at a P &lt; 0.05 significance. The Tub SAGE tags were annotated following batch BLASTS against the TIGR porcine index database and then classified according to function. Real-time RT-PCR was used to confirm the differential expression patterns identified between Ovd:Tub, Ovd:Fil, and Fil:Tub. For example, the relative quantity of mRNA for steroidogenic acute regulatory protein, 1.0:6.4:11.1 (Ovd:Tub:Fil), and cytokeratin 8, 1.1:0.6:0.4 (Ovd:Tub:Fil), demonstrated an increase and decrease (ANOVA; P &lt; 0.05), respectively, throughout these three developmental stages. Based on their putative functional annotations, the differentially expressed genes revealed by SAGE are potentially involved in regulating embryo growth, cellular differentiation, apoptosis, steroidogenesis, and energy metabolism during embryo elongation. The present SAGE analyses have elucidated the tubular conceptus transcriptome and enabled the identification of genes that are differentially regulated during the 24-h period that encompasses pig embryo elongation. Furthermore, the decreased template requirement of SAR-SAGE makes this technique a suitable option for SAGE analyses of early stage embryos where the sample is small and limited.

5'SAGE: 5'-end Serial Analysis of Gene Expression database

To comprehensively identify transcription start sites and the frequencies of individual mRNAs in human cell libraries, a method of 5′ end Serial Analysis of Gene Expression (SAGE) was developed recently, which makes it possible to collect a large amount of start site information, and subsequently, we have established a related database server called 5′SAGE. This database displays the observed frequencies of individual 5′ end SAGE tags and previously unknown transcription start sites in the promoter regions, introns and intergenic regions of known genes. 5′SAGE will be useful for analyzing promoter regions and start site variation in different tissues, and is freely available at http://5sage.gi.k.u-tokyo.ac.jp/.

Differentially expressed genes in pancreatic ductal adenocarcinomas identified through serial analysis of gene expression

Serial analysis of gene expression (SAGE) is a powerful tool for the discovery of novel tumor markers. The publicly available on-line SAGE libraries of normal and neoplastic tissues (http://www.ncbi.nlm.nih.gov/SAGE/) have recently been expanded; in addition, a more complete annotation of the human genome and better biocomputational techniques have substantially improved the assignment of differentially expressed SAGE “tags” to human genes. These improvements have provided us with an opportunity to re-evaluate global gene expression in pancreatic cancer using existing SAGE libraries. SAGE libraries generated from 6 pancreatic cancers were compared to SAGE libraries generated from 11 non-neoplastic tissues. Compared to normal tissue libraries, we identified 453 SAGE tags as differentially expressed in pancreatic cancer, including 395 that mapped to known genes and 58 “uncharacterized” tags. Of the 395 SAGE tags assigned to known genes, 223 were overexpressed in pancreatic cancer, and 172 were underexpressed. In order to map the 58 uncharacterized differentially expressed SAGE tags to genes, we used a newly developed resource called TAGmapper (http://tagmapper.ibioinformatics.org), to identify 16 additional differentially expressed genes. The differential expression of 7 genes, involved in multiple cellular processes such as signal transduction (MIC-1), differentiation (DMBT1 and Neugrin), immune response (CD74), inflammation (CXCL2), cell cycle (CEB1) and enzymatic activity (Kallikrein 6), was confirmed by either immunohistochemical labeling of tissue microarrays (Kallikrein 6, CD74 and DMBT1) or by RT-PCR (CEB1, Neugrin, MIC1, and CXCL2). Of note, Neugrin was one of the genes whose previously uncharacterized SAGE tag was correctly assigned using TAGmapper, validating the utility of this program. Novel differentially expressed genes in a cancer type can be identified by revisiting updated and expanded SAGE databases. TAGmapper should prove to be a powerful tool for the discovery of novel tumor markers through assignment of uncharacterized SAGE tags.

The impact of SNPs on the interpretation of SAGE and MPSS experimental data

Serial Analysis of Gene Expression (SAGE) and Massively Parallel Signature Sequencing (MPSS) are powerful techniques for gene expression analysis. A crucial step in analyzing SAGE and MPSS data is the assignment of experimentally obtained tags to a known transcript. However, tag to transcript assignment is not a straightforward process since alternative tags for a given transcript can also be experimentally obtained. Here, we have evaluated the impact of Single Nucleotide Polymorphisms (SNPs) on the generation of alternative SAGE and MPSS tags. This was achieved through the construction of a reference database of SNP-associated alternative tags, which has been integrated with SAGE Genie. A total of 2020 SNP-associated alternative tags were catalogued in our reference database and at least one SNP-associated alternative tag was observed for approximately 8.6% of all known human genes. A significant fraction (61.9%) of these alternative tags matched a list of experimentally obtained tags, validating their existence. In addition, the origin of four out of five SNP-associated alternative MPSS tags was experimentally confirmed through the use of the GLGI-MPSS protocol (Generation of Long cDNA fragments for Gene Identification). The availability of our SNP-associated alternative tag database will certainly improve the interpretation of SAGE and MPSS experiments.

Serial analysis of gene expression during elongation of the peri-implantation porcine trophectoderm (conceptus)

Conceptus loss during the preimplantation and early postimplantation period hinders the efficiency of swine reproduction. Significant conceptus loss occurs during trophectoderm elongation between gestational day 11 (D11) and day 12 (D12). Elongation of the porcine conceptus is a key stage of development during which maternal recognition of pregnancy, initial placental development, and preparation for implantation occurs. The objective of this study was to establish comparative transcriptome profiles of D11 ovoid and D12 filamentous conceptuses and thereby identify temporally regulated genes essential for developmental progression during conceptus elongation. Serial analysis of gene expression (SAGE) libraries were constructed from in vivo derived ovoid and filamentous swine conceptuses to yield a total of 42,389 tags (ovoid) and 42,391 tags (filamentous) representing 14,464 and 13,098 putative unique transcripts, respectively. Statistical analysis of tag frequencies revealed the differential expression of 431 tags between libraries (P < 0.05). Nucleotide sequence alignment searches on public databases provided SAGE tag annotation and gene ontology assignments. Comparisons between the SAGE profiles of ovoid and filamentous conceptuses revealed increased expression of key genes in the steroidogenesis [cytochrome P-450(scc) (CYP11A1), aromatase (CYP19A), and steroidogenic acute regulatory protein (STAR)] and oxidative stress response pathways [microsomal glutathione S-transferase 1 (MGST1) and copper-zinc superoxide dismutase (SOD1)]. Differential expression of these genes in the steroidogenic and oxidative stress response pathways was confirmed by real-time PCR. These results validate the utility of SAGE in the pig and establish an initial model linking gene expression profiles at the pathway level with phenotypic progression from ovoid to filamentous stages of conceptus development.

Effects of dihydrotestosterone on adipose tissue measured by serial analysis of gene expression

Intra-abdominal fat accumulation is related to several diseases, especially diabetes and heart disease. Molecular mechanisms associated with this independent risk factor are not well established. Through the serial analysis of gene expression (SAGE) strategy, we have studied the transcriptomic effects of castration and dihydrotestosterone (DHT) in retroperitoneal adipose tissue of C57BL6 male mice. Approximately 50,000 SAGE tags were isolated in intact and gonadectomized mice, as well as 3 and 24 h after DHT administration. Transcripts involved in energy metabolism, such as glyceraldehyde-3-phosphate dehydrogenase, malic enzyme supernatant, fatty acid synthase, lipoprotein lipase, hormone-sensitive lipase and monoglyceride lipase, were upregulated by DHT. Transcripts involved in adipogenesis, and cell cycle and cell shape organization, such as DDX5, C/EBPalpha, cyclin I, procollagen types I, III, IV, V and VI, SPARC and matrix metalloproteinase 2, were upregulated by DHT. Cell defense, division and signaling, protein expression and many novel transcripts were regulated by castration and DHT. The present results provide global genomic evidence for a stimulation of glycolysis, fatty acids and triacylglycerol production, lipolysis and cell shape reorganization, as well as cell proliferation and differentiation, by DHT. The novel transcripts regulated by DHT may contribute to identify new mechanisms involved in the action of sex hormones and their potential role in obesity.