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PubMed2003

Gene expression profile of butyrate-inhibited vascular smooth muscle cell proliferation.

Excessive proliferation of vascular smooth muscle cells (VSMCs) is a critical element in the development of several vascular pathologies, particularly in atherosclerosis and in restenosis due to angioplasty. We have shown that butyrate, a powerful antiproliferative agent, a strong promoter of cell differentiation and an inducer of apoptosis inhibits VSMC proliferation at physiological concentrations with no cytotoxicity. In the present study, we have used cDNA array technology to unravel the molecular basis of the antiproliferative effect of butyrate on VSMCs. To assess the involvement of gene expression in butyrate-inhibited VSMC proliferation, proliferating VSMCs were exposed to 5 mmol/l butyrate 1 through 5 days after plating. Expression profiles of 1.176 genes representing different functional classes in untreated control and butyrate treated VSMCs were compared. A total of 111 genes exhibiting moderate (2.0-5.0 fold) to strong (> 5.0 fold) differential expression were identified. Analysis of these genes indicates that butyrate treatment mainly alters the expression of four different functional classes of genes, which include: 43 genes implicated in cell growth and differentiation, 13 genes related to stress response, 11 genes associated with vascular function and 8 genes normally present in neuronal cells. Examination of differentially expressed cell growth and differentiation related genes indicate that butyrate-inhibited VSMC proliferation appears to involve down-regulation of genes that encode several positive regulators of cell growth and up-regulation of some negative regulators of growth or differentiation inducers. Some of the down-regulated genes include proliferating cell nuclear antigen (PCNA), retinoblastoma susceptibility related protein p130 (pRb), cell division control protein 2 homolog (cdc2), cyclin B1, cell division control protein 20 homolog (p55cdc), high mobility group (HMG) 1 and 2 and several others. Whereas the up-regulated genes include cyclin D1, p21WAF1, p141NK4B/p15INK5B, Clusterin, inhibitor of DNA binding 1 (ID1) and others. On the other hand, butyrate-responsive stress-related genes include some of the members of heat shock protein (HSP), glutathione-s-transferase (GST), glutathione peroxidase (GSH-PXs) and cytochrome P450 (CYP) families. Additionally, several genes related to vascular and neuronal function are also responsive to butyrate treatment. Although involvement of genes that encode stress response, vascular and neuronal functional proteins in cell proliferation is not clear, cDNA expression array data appear to suggest that they may play a role in the regulation of cell proliferation. However, cDNA expression profiles indicate that butyrate-inhibited VSMC proliferation involves combined action of a proportionally large number of both positive and negative regulators of growth, which ultimately causes growth arrest of VSMCs. Furthermore, these butyrate-induced differential gene expression changes are not only consistent with the antiproliferative effect of butyrate but are also in agreement with the roles that these gene products play in cell proliferation.

Animals↗

PubMed2004

Gene expression profiles during human CD4+ T cell differentiation.

To develop a comprehensive catalogue of phenotypic and functional parameters of human CD4(+) T cell differentiation stages, we have performed microarray gene expression profiling on subpopulations of human thymocytes and circulating naive CD4(+) T cells, including CD3(-)CD4(+)CD8(-) intrathymic T progenitor cells, CD3(int)CD4(+)CD8(+) 'double positive' thymocytes, CD3(high)CD4(+)CD8(-) 'single positive' thymocytes, CD3(+)CD4(+)CD8(-) CD45RA(+)CD62L(+) naive T cells from cord blood and CD3(+)CD4(+)CD8(-) CD45RA(+)CD62L(+) naive T cells from adult blood. These subpopulations were sort-purified to >98% purity and their expressed RNAs were analyzed on Affymetrix Human Genome U133 arrays. Comparison of gene expression signals between these subpopulations and with early passage fetal thymic stromal cultures identify: (i) transcripts that are preferentially expressed in human CD4(+) T cell subpopulations and not in thymic stromal cells; (ii) major shifts in gene expression as progenitor T cells mature into progeny; (iii) preferential expression of transcripts at the progenitor cell stage with plausible relevance to the regulation of expansion and differentiation of these cells; and (iv) preferential expression of potential markers of recent thymic emigrants in naive-phenotype CD4(+) T cells from cord blood. Further evaluation of these findings may lead to a better definition of human thymopoiesis as well as to improved approaches to monitor and to augment the function of this important organ of T cell production.

Antigens, CD↗

PubMed2004

Gene expression profiles in primary ovarian serous papillary tumors and normal ovarian epithelium: identification of candidate molecular markers for ovarian cancer diagnosis and therapy.

With the goal of identifying genes with a differential pattern of expression between ovarian serous papillary carcinomas (OSPCs) and normal ovarian (NOVA) epithelium and using this knowledge for the development of novel diagnostic and therapeutic markers for ovarian cancer, we used oligonucleotide microarrays with probe sets complementary to 12,533 genes to analyze the gene expression profiles of 10 primary OSPC cell lines, 2 established OSPC cell lines (UCI-101, UCI-107) and 5 primary NOVA epithelial cultures. Unsupervised analysis of gene expression data identified 129 and 170 genes that exhibited >5-fold upregulation and downregulation, respectively, in primary OSPC compared to NOVA. Genes overexpressed in established OSPC cell lines had little correlation with those overexpressed in primary OSPC, highlighting the divergence of gene expression that occurs as a result of long-term in vitro growth. Hierarchical clustering of the expression data readily distinguished normal tissue from primary OSPC. Laminin, claudin 3, claudin 4, tumor-associated calcium signal transducers 1 and 2 (TROP-1/Ep-CAM, TROP-2), ladinin 1, S100A2, SERPIN2 (PAI-2), CD24, lipocalin 2, osteopontin, kallikrein 6 (protease M), kallikrein 10, matriptase (TADG-15) and stratifin were among the most highly overexpressed genes in OSPC compared to NOVA. Downregulated genes in OSPC included transforming growth factor-beta receptor III, platelet-derived growth factor receptor alpha, SEMACAP3, ras homolog gene family member I (ARHI), thrombospondin 2 and disabled-2/differentially expressed in ovarian carcinoma 2 (Dab2/DOC2). Differential expression of some of these genes, including claudin 3, claudin 4, TROP-1 and CD24, was validated by quantitative RT-PCR and flow cytometry on primary OSPC and NOVA. Immunohistochemical staining of formalin-fixed, paraffin-embedded tumor specimens from which primary OSPC cultures were derived further confirmed differential expression of CD24 and TROP-1/Ep-CAM markers on OSPC vs. NOVA. These results, obtained with highly purified primary cultures of ovarian cancer, highlight important molecular features of OSPC and may provide a foundation for the development of new type-specific therapies against this disease.

Adult↗

PubMed2006

[Changes of gene expression profile of multiple myeloma cell line RPMI 8226 treated by arsenic trioxide].

OBJECTIVE: To compare the changes of gene expression profiles of multiple myeloma cell line RPMI 8226 before and after 24-hour intervention of arsenic trioxide. METHODS: The responses of the RPMI 8226 cells to arsenic trioxide were determined with cDNA microarray which included 4,096 different human genes. RESULTS: Of these 4,096 genes, the expressions of 273 genes were altered significantly at mRNA level. The expressions of 121 genes were up-regulated while the expressions of 152 genes were down-regulated. CONCLUSION: The effect of arsenic trioxide on RPMI 8226 cells is related to changing the expression levels of a number of genes. ZFYVE16, ALK1 and TXNIP genes may play important roles in apoptosis and differentiation of RPMI 8226 cells.

Antineoplastic Agents↗

PubMed2004

A diagnostic test for prostate cancer from gene expression profiling data.

PURPOSE: Multiple recent studies show excellent classification accuracy using bioinformatics tools applied to expression profiling data on various tumors. However, the clinical applicability of these techniques remains unfulfilled because of difficulty in translating complex multigene mathematical algorithms into reproducible, platform independent tests. We recently developed a broadly applicable platform independent method based on simple ratios of gene expression to diagnose and predict outcome in cancer. In the current study we applied this technique to the diagnosis of prostate cancer. MATERIALS AND METHODS: We developed a ratio based predictive model using a training set of 32 samples with previously published gene profiling data. We then tested and refined the model using additional independent samples with previously published microarray data from another source (that is the test set of 34 samples). Finally, the optimal ratio based test was examined with quantitative reverse transcriptase-polymerase chain reaction for data acquisition in a third cohort of samples consisting of 10 frozen normal and 10 tumor prostate tissues. RESULTS: A 3-ratio test using 4 genes was 90% accurate (18 of 20 samples) for distinguishing normal prostate and prostate cancer samples obtained at surgery (Fisher's exact test p = 0.0007). This test did not result in any false-negative findings. CONCLUSIONS: We describe and validate a new gene ratio based test for the diagnosis of prostate cancer, which was developed from the analysis of extensive gene profiling data for the diagnosis of prostate cancer. This test can be easily adapted to the clinical arena without the need for complex computer software or hardware. We anticipate that the gene ratio based diagnosis of prostate cancer using fine needle aspirations could serve as a useful adjunct to standard histopathological techniques.

Gene Expression Profiling↗

PubMed2003

Comprehensive evaluation of the extraocular muscle critical period by expression profiling in the dark-reared rat and monocularly deprived monkey.

PURPOSE: To address the consequences of visual deprivation paradigms in rat (dark rearing) and monkey (monocular deprivation) on extraocular muscle (EOM) development using genome-wide expression profiling. METHODS: Serial analysis of gene expression (SAGE) was used to determine alterations in the EOM transcriptome induced by dark rearing of rats from birth to postnatal day 45. Data were compared with previously published normal EOM SAGE library. DNA microarray similarly assessed changes in gene expression patterns of EOMs of monkeys reared from birth to 4 months of age with monocular deprivation. RESULTS: Dark rearing produced changes in expression of 280 transcripts in rat EOM. Of these, 71 were known genes representing functional categories that included energy metabolism/mitochondrial-related (21%), protein synthesis and modification (14%), lipid metabolism (13%), and muscle-related (6%) transcripts. Together, the predominant pattern reflected an energetic shift toward fatty acid beta-oxidation and integrated alterations in both myofibers and supportive tissues. The response of monkey rectus muscles to monocular deprivation was considerably less severe. CONCLUSIONS: The visual deprivation paradigms used in this study mimic alterations that are associated with the common disorders of strabismus, congenital cataract, and amblyopia. These data show that postnatal EOM maturation is broadly susceptible to changes in activity patterns that are a consequence of visuomotor maldevelopment. The data extend the concept of an EOM-critical period and establish that activity patterns in developing eye movement systems play vital determinant roles in the novel EOM phenotype.

Animals↗

PubMed2004

Distinctive gene expression profiles by cDNA microarrays in endometrioid and serous carcinomas of the endometrium.

Endometrial carcinomas are classified by their morphology into two major subtypes. Endometrioid carcinomas (type I) are generally estrogen dependent, well-differentiated, superficially invasive, and have a good outcome. Serous carcinomas (type II) are hormone independent, frequently deeply invasive and widely metastatic, and have a poor prognosis. Microarray technology and analysis allows us to determine if the global gene expression profiles of these two subtypes correlate with their morphologic phenotype. Fresh tissue from 18 endometrial carcinomas was studied: 7 well-, 2 moderately, and one poorly differentiated endometrioid, 4 serous carcinomas, and 4 high-grade mixed endometrioid-serous carcinomas. Labeled cDNA probes were synthesized (Cy5 for tumor, Cy3 for reference) and applied to microarrays containing 18,098 cDNA clones or ESTs. A pool of equal amounts of total RNA from each tumor served as the reference RNA. By unsupervised cluster analysis, the endometrioid carcinomas clustered together and were separate from the serous carcinomas. The high-grade mixed carcinomas clustered with the serous carcinomas. Using a statistical algorithm based on gene expression pattern and conducting a supervised analysis of the two defined groups, we have identified 315 genes that statistically differentiate type I from type II endometrial carcinomas. In addition to corroborating the predicted overexpression of known markers (e.g., ras and catenin in endometrioid carcinomas), the cDNA microarray technique has revealed novel alterations in gene expression relevant to cell cycle, cell adhesion, signal transduction, apoptosis, and tumor progression not previously implicated in endometrial carcinomas. For serous carcinomas, these include aldolase, desmoplakin, integrin-linked kinase, PKC, and metallopeptidase. In conclusion, the gene expression profiles of type I and type II endometrial carcinomas are different. Refinement of these profiles will permit more accurate diagnostic tumor classification and the development of prognosis assays.

Carcinoma, Endometrioid↗

PubMed2006

Gene expression profiling in human autoimmunity.

Human autoimmune diseases are well suited for the application of gene expression profiling. Sampling of blood cells and target tissues has already revealed many important pathways contributing to this spectrum of disorders, and many commonalities are emerging. For instance, clinically distinct diseases such as systemic lupus erythematosus, Sjögren's syndrome, dermatomyositis, and psoriasis all show evidence for dysregulation of the type I interferon pathway. These data suggest that autoimmune diseases will eventually be categorized at the level of gene expression. This work has led to advances in our understanding of disease pathogenesis and in the future promises to facilitate assessments of disease activity and improve targeting of therapies. Here, we review the literature on gene profiling in human autoimmune diseases and provide perspective on the current state of the art.

Autoimmune Diseases↗

PubMed1998

Expression profile and structural divergence of novel human annexin 31.

Systematic analysis of expressed sequence tags in dbEST yielded an expression profile of the ten known human annexins and led to the discovery of a novel subfamily expressed mainly in differentiating tissues. Full-length cDNAs encoded a 338-amino acid protein with less than 40% identity to other annexins, an atypical amino acid composition, and an insertion and deletion in internal repeat 3. The most striking feature was a complete ablation of all four type II calcium-binding sites in the conserved tetrad core. Annexin 31 thus constitutes a unique, natural probe for investigating the role of membrane binding in annexin function.

Amino Acid Sequence↗

PubMedDate not supplied

Stability and heterogeneity of expression profiles in lung cancer specimens harvested following surgical resection.

One of the major concerns in microarray profiling studies of clinical samples is the effect of tissue sampling and RNA extraction on data. We analyzed gene expression in lung cancer specimens that were serially harvested from tumor mass and snap-frozen at several intervals up to 120 minutes after surgical resection. Global gene expression was profiled on cDNA microarrays, and selected stress and hypoxia-activated genes were evaluated using real-time reverse transcription polymerase chain reaction (RT-PCR). Remarkably, similar gene expression profiles were obtained for the majority of samples regardless of the time that had elapsed between resection and freezing. Real-time RT-PCR studies showed significant heterogeneity in the expression levels of stress and hypoxia-activated genes in samples obtained from different areas of a tumor specimen at one time point after resection. The variations between multiple samplings were significantly greater than those of elapsed time between sampling/freezing. Overall samples snap-frozen within 30 to 60 minutes of surgical resection are acceptable for gene expression studies, thus making sampling and snap-freezing of tumor samples in a routine surgical pathology laboratory setting feasible. However, sampling and pooling from multiple sites of each tumor may be necessary for expression profiling studies to overcome the molecular heterogeneity present in tumor specimens.

Carcinoma, Non-Small-Cell Lung↗

PubMed2003

Comparative expression profiling of 40 mouse cytochrome P450 genes in embryonic and adult tissues.

This study is the first systematic investigation of the gestational age-dependent and adult tissue-specific expression patterns of each known mouse CYP family (40 genes) using normalized cDNA panels and uniform reverse transcriptase polymerase chain reaction-based assays. Twenty-seven of the P450s were constitutively expressed during development. The number gradually increased through the phases of gastrulation E7 (n=14), neural patterning and somitogenesis E11 (n=17), organogenesis E15 (n=20), and fetal period E17 (n=21). Cyp2s1, Cyp8a1, Cyp20, Cyp21a1, Cyp26a1, Cyp46, and Cyp51 were detected in each of the four stages studied. Members of family CYP1 demonstrated complex, nonoverlapping embryonic patterns of expression, indicating that Cyp1a1 and Cyp1a2 may not compensate for Cyp1b1 deficiency associated with abnormal eye development. Multiple Cyp forms were found to be constitutively expressed in each of the adult tissues studied: liver (n=31), kidney (n=30), testis (n=26), lung (n=24), and heart (n=13). The tissue-specific P450-expression profiles reported in this study provide a reference for more focused analysis of the tissue-specific and developmental functions of the cytochrome P450 monooxygenases.

Aging↗

PubMed2006

Clinical phenotype and gene expression profile in Crohn's disease.

The clinical course varies significantly among patients with Crohn's disease (CD). This study investigated whether gene expression profiles generated by DNA microarray technology might predict disease progression. Biopsies from the descending colon were obtained colonoscopically from 40 CD patients. Gene profiling analyses were performed using a Human Genome U133 Plus 2.0 GeneChip Array, and summarization into a single expression measure for each probe set was performed using the robust multiple array procedure. Principal component analysis demonstrated that three components explain two-thirds of the total variation. The most important parameters for the determination of the colonic gene expression patterns were the presence of disease (CD) and presence of inflammation. Superimposition of clinical phenotype data revealed a grouping of the samples from patients with stenosis toward negative values on the axis of the second principal component. The functional annotation analysis suggested that the expression of genes involved in intracellular transport and cytoskeletal organization might influence the development of stenosis. In conclusion, even though most variation in the colonic gene expression patterns is due to presence or absence of CD and inflammation status, the development of stenosis is a parameter that affects colonic gene expression to some extent.

Adolescent↗

PubMedDate not supplied

Gene expression profile in rat renal isografts from brain dead donors.

BACKGROUND: Brain death (BD) and the subsequent ischemia/reperfusion (I/R) injury have cardinal implications for the pathogenesis of kidney transplantation (Tx). However, the precise mechanistic pathway of BD and the subsequent I/R injury are unknown. In this study, we performed genome-wide analysis for differential gene expression in kidney isografts from BD donors. Their gene expressions were compared with those from living sources. METHODS: Kidneys from BD rats were engrafted and their gene expressions were compared with those from living controls. Donors were intubated, and mechanically ventilated for 6 hours. Grafts were harvested 6 hours after BD, and 1 hour after engraftment. The expression profile of approximately 20,500 genes was analyzed. RESULTS: Gene expression of chemokines (Scya2 and Gro1), cytokines (IL-1 and -6) and adhesion molecules (E- and P-selectin and ICAM-1) were upregulated in the BD kidneys and 1 hour after engraftment. An antiapoptotic gene (Birc2), IkappaB-zeta, and protective gene (HO-1) were also upregulated. Other upregulated genes included oncogenes (lipocalin2, Bcl3, and CCAAT/enhancer binding protein delta), Calgranulin B, DEXRAS1, insulin-like growth factor binding protein-1, inhibin beta-B-subunit gene, IgG Fc receptor, and FK 506 binding protein 5. We also observed downregulation of the genes Amphiphsin, Jagged 1, Pace 4, Slc15a2, Kcnn2, and gap junction membrane channel protein alpha5 only in kidneys from BD donors. CONCLUSIONS: This is the first demonstration of global gene expression analysis using the rat brain-death isograft model. These results provide new insights for the detection of novel target genes for treatment and prognosis of grafts from brain-dead and extended marginal donors.

Animals↗

PubMed2001

Bioinformatic identification of potential autocrine signaling loops in cancers from gene expression profiles.

Many biological signaling pathways involve autocrine ligand-receptor loops; misregulation of these signaling loops can contribute to cancer phenotypes. Here we present an algorithm for detecting such loops from gene expression profiles. Our method is based on the hypothesis that for some autocrine pathways, the ligand and receptor are regulated by coupled mechanisms at the level of transcription, and thus ligand-receptor pairs comprising such a loop should have correlated mRNA expression. Using our database of experimentally known ligand-receptor signaling partners, we found examples of ligand-receptor pairs with significantly correlated expression in five cancer-based gene expression datasets. The correlated ligand-receptor pairs we identified are consistent with known autocrine signaling events in cancer cells. In addition, our algorithm predicts new autocrine signaling loops that can be verified experimentally. Chemokines were commonly members of these potential autocrine pathways. Our analysis also revealed ligand-receptor pairs with expression patterns that may indicate cellular mechanisms for preventing autocrine signaling.

Algorithms↗

PubMed2004

Gene expression profiling in lymph node-positive and lymph node-negative colorectal cancer.

PURPOSE: To identify the genes involved in the carcinogenesis and progression of colorectal cancer, we analyzed the gene-expression profiles of colorectal cancer cells from 12 tumors with corresponding noncancerous colonic epithelia using a cDNA microarray representing 4,08 genes. METHODS: We classified both samples and genes by using a two-way clustering analysis and identified genes that were differentially expressed in the cancerous and noncancerous tissues. Genes associated with lymph node metastasis were identified by means of the supervised learning technique. RESULTS: Differentially expressed genes (77 up-regulated and 45 down-regulated genes) were identified in more than 75 percent of the tumors. The functional categories of these genes belonged to signal transduction (19 percent), metabolism (17 percent), cell structure/motility (14 percent), cell cycle (13 percent), and gene protein expression (13 percent). The gene expression pattern of reverse transcriptase polymerase chain reaction (RT-PCR) results from randomly selected genes shows a pattern similar to that of cDNA microarray. Moreover, the gene expression patterns observed were similar to those reported previously, suggesting rare racial differences. Sixty genes possibly associated with lymph node metastasis in colorectal cancer were selected on the basis of clinicopathological data obtained by performing signal-to-noise calculations. "Leave-one-out" cross-validation testing correctly classified 10 of 12 patients (83.3 percent) as having colorectal cancer with lymph node metastasis vs. those without metastasis. CONCLUSIONS: These results provide not only a new molecular basis for understanding the biologic properties of colorectal cancer, including lymph node metastasis, but also provide a resource for future development of therapeutic targets and diagnostic markers for colorectal cancer.

Adenocarcinoma↗

PubMed2001

Expression profiling and identification of novel genes in hepatocellular carcinomas.

Liver cancer is the fifth most common cancer worldwide and unlike certain other cancers, such as colon cancer, a mutational model has not yet been developed. We have performed gene expression profiling of normal and neoplastic livers in C3H/HeJ mice treated with diethylnitrosamine. Using oligonucleotide microarrays, we compared gene expression in liver tumors to three different states of the normal liver: quiescent adult, regenerating adult, and newborn. Although each comparison revealed hundreds of differentially expressed genes, only 22 genes were found to be deregulated in the tumors in all three comparisons. Three of these genes were examined in human hepatocellular carcinomas and were found to be upregulated. As a second method of analysis, we used Representational Difference Analysis (RDA) to clone mRNA fragments differentially expressed in liver tumors versus regenerating livers. We cloned several novel mRNAs that are differentially regulated in murine liver tumors. Here we report the sequence of a novel cDNA whose expression is upregulated in both murine and human hepatocellular carcinomas. Our results suggest that DEN-treated mice provide an excellent model for human hepatocellular carcinomas.

Amino Acid Sequence↗

PubMed2006

Gene expression profiling of primary cultures of ovarian epithelial cells identifies novel molecular classifiers of ovarian cancer.

In order to elucidate the biological variance between normal ovarian surface epithelial (NOSE) and epithelial ovarian cancer (EOC) cells, and to build a molecular classifier to discover new markers distinguishing these cells, we analysed gene expression patterns of 65 primary cultures of these tissues by oligonucleotide microarray. Unsupervised clustering highlights three subgroups of tumours: low malignant potential tumours, invasive solid tumours and tumour cells derived from ascites. We selected 18 genes with expression profiles that enable the distinction of NOSE from these three groups of EOC with 92% accuracy. Validation using an independent published data set derived from tissues or primary cultures confirmed a high accuracy (87-96%). The distinctive expression pattern of a subset of genes was validated by quantitative reverse transcription-PCR. An ovarian-specific tissue array representing tissues from NOSE and EOC samples of various subtypes and grades was used to further assess the protein expression patterns of two differentially expressed genes (Msln and BMP-2) by immunohistochemistry. This study highlights the relevance of using primary cultures of epithelial ovarian cells as a model system for gene profiling studies and demonstrates that the statistical analysis of gene expression profiling is a useful approach for selecting novel molecular tumour markers.

Biomarkers, Tumor↗

PubMed2005

The MMA1 gene family of cancer-testis antigens has multiple alternative splice variants: characterization of their expression profile, the genomic organization, and transcript properties.

Previously, we reported the identification of MMA1A by screening for differential gene expression in two human melanoma cell lines displaying diverse metastatic behavior after subcutaneous inoculation into nude mice. Splice variant MMA1B, which also was identified through database homology searches, showed a high degree of similarity with the MMA1A for exons 1, 2, and 4, but was missing exon 3. Through extensive expression profiling among normal and tumor samples, both MMA1A and -1B were found to belong to the family of cancer-testis antigens. In this study, we identified four additional alternatively spliced MMA1 variants, named MMA1C, MMA1D, MMA1E, and MMA1F. Generally, these novel MMA1 transcripts differ from MMA1A in that exon 2 or exon 3 is enlarged because of the use of alternative splice sites in intron 2 of the MMA1 gene. Moreover, MMA1E also lacks exon 3, as was previously seen in MMA1B. In screening for expression of the novel MMA1 transcripts in normal and tumor tissues, we demonstrated that MMA1C, -1D, and -1E also are members of the cancer-testis antigen family. MMA1F was found in only one melanoma metastasis sample and therefore is believed to have been expressed incidentally. Furthermore, we comprehensively elucidated the genomic structure of the MMA1 gene and the characteristic features of the alternatively spliced MMA1 transcripts.

Alternative Splicing↗