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Distinct TATA motifs regulate differential expression of human metallothionein I genes MT-IF and MT-IG.

In this report, we have measured the cadmium (Cd2+)-induced expression of all known metallothionein I (MT-I) mRNAs in a human hepatoma cell line, Hep G2. Among the human MT-I gene family promoters, marked sequence conservation exists; despite this, the mRNA accumulation level for each species was found to be quite unique. This differential Cd2+ induction of MT-I family members provides an ideal opportunity to assess whether the characteristic response results from subtle isoform-specific variations in promoter structure. Accordingly, we have examined the mechanism for differential expression of two isoforms, MT-IG and MT-IF, by transient transfection into Hep G2 cells. In the presence of Cd2+, MT-IG promoter activity and endogenous mRNA level were, respectively, 4.7- and 3-fold greater than those of MT-IF. This close correlation between promoter activity and mRNA accumulation strongly suggests that differential expression occurs at the level of transcription. The difference in Cd(2+)-stimulated activity was found to be conferred by 240- and 243-base pair promoter fragments spanning nucleotides -174 to +66 and -172 to +71 of the MT-IG and MT-IF genes, respectively. One of the most striking nonhomologies between the promoters is a single A (TATAAA) to C (TATCAA) transversion in the TATA motifs of MT-IG and MT-IF genes, respectively. To determine whether such a subtle change in the TATA motif could account for the marked differences in promoter function, we constructed MT-IG-TATCA and MT-IF-TATAA promoters and measured their activities in transient transfection and cell-free transcription assays. Results of both assays showed a profound difference between the two motifs that paralleled the difference in Cd(2+)-stimulated MT-IG and MT-IF mRNA levels. In summary, we have shown that differential regulation of two MT-I promoters is primarily due to a single base alteration in their TATA motifs.

Base Sequence↗

Differential expression of human ferritin H chain gene in immortal human breast epithelial MCF-10F cells.

Subtractive hybridization was used to isolate genes expressed uniquely in the immortalized human breast epithelial cell (HBEC) line MCF-10F and not in the mortal HBEC line S-130, from which MCF-10F cells were derived. We identified a 233-bp cDNA that was expressed in MCF-10F cells and not in their mortal counterpart S-130 cells. Sequence comparison with the GenBank database revealed that the cDNA was identical to the gene encoding human ferritin heavy H chain. Northern blot analysis using the isolated cDNA as a probe showed a differentially expressed 1.1-kb transcript of ferritin H in total RNA from the immortal MCF-10F cells, MCF-10F cells treated with the chemical carcinogens 7,12-dimethylbenz[a]anthracene and benzo[a]pyrene, and the breast cancer cell lines MCF-7, HBL-100, T-47D, and BT-20. No ferritin H transcript was detected in the mortal line S-130 or in other primary HBEC cultures. Increased levels of mRNA transcript signals were also detected in total RNA from breast cancer tissue samples. Tissue with ductal hyperplasia had higher expression levels than normal adjacent mammary tissue. In situ hybridization showed high levels of ferritin H transcript in mammary tissue areas with ductal hyperplasia, carcinoma in situ, and infiltrating ductal carcinoma. This is the first report of the differential expression and upregulation of human ferritin H chain gene in immortal HBECs. It may be an important factor in the process of immortalization, possibly an early stage of malignant transformation of HBECs, providing cells with iron necessary for growth and clonal expansion. Also, ferritin iron, once released, may increase the level of reactive iron, leading to an increase in oxygen free-radical generation, oxidative DNA damage, and mutation.

Base Sequence↗

Isolation and characterization of two teleost melanopsin genes and their differential expression within the inner retina and brain.

Melanopsin is a newly discovered photopigment that is believed to be involved in the regulation of circadian rhythms in tetrapods. Here we describe the characterization of the first two teleost melanopsins (opn4a and opn4b) isolated from Atlantic cod (Gadus morhua). These two teleost genes belong to a subgroup of melanopsins that also include members from Xenopus, chicken, and Takifugu. In situ hybridization revealed that opn4a and opn4b are differentially expressed within the retina and brain. In the larval and adult retina, both melanopsins are expressed in a subset of cells in the inner retina, resembling amacrine and ganglion cells. In addition, opn4a is expressed in the horizontal cells, indicating a separate task for this gene. In the brain, the two melanopsins are separately expressed in two major retinal and extraretinal photosensitive integration centers, namely, the suprachiasmatic nucleus (opn4a) and the habenula (opn4b). The expression of opn4a in the suprachiasmatic nucleus in cod is similar to the melanopsin expression found in Xenopus. This suggests a conserved role for this opsin and an involvement in mediation of nonvisual photoreceptive tasks, such as entraining circadian rhythms and/or hypophysiotrophic systems. The differential expression of opn4b in the habenula suggests that this gene plays a role similar to that of opn4a, in that it is also situated in an area that integrates photic inputs from the pineal as well as other brain regions. Thus, the habenula may be an additional region that mediates photic cues in teleosts.

Amino Acid Sequence↗

Identification of differentially expressed genes in the high and low metastatic human ovarian cancer cell lines and analyses of their chromosomal localizations and functions.

Oligonucleotide microarrays were used to study the differences of gene expressions in high (H) and low (L) metastatic ovarian cancer cell lines and in normal ovarian tissues (C). Bioinformatics was used to identify novel genes and their functions as well as chromosomal localizations. A total of 409 genes were differentially expressed between the high and low metastatic ovarian cancer cell lines. Of them, 271 genes were up regulated (Signal Log Ratio[SLR] > or = 1), and 138 genes were down regulated (SLR < or = -1). Except one gene whose location was unknown, all these genes were localized randomly on all the chromosomes, with a majority of them localized to Chromosomes 1, 6, 2, 17, 3, 5 and 11. Chromosome 1 contained, 43 of them (10.7%), the most for a single chromosome. A total of 264 genes (64.7%) were localized on the short arm of the chromosome (q). Functional classification showed that the 104 (25.4%) genes coding for enzymes and enzyme regulators made up the largest functional group, followed by signal transduction activity genes (43, 10.5%), nucleic acid binding activity genes (42, 10.3%), and proteins binding activity genes (34, 8.3%). These four groups accounted for 54.5% of all the differentially expressed genes. In addition, the functions of 76 genes (18.6%) were unknown. Tumor metastasis is the result of a number of genes acting in concert. The four functional groups of genes classified among these genes and their abnormalities would be the focus of further studies on ovarian cancer metastasis.

Cell Line, Tumor↗

Isolation of differentially expressed sequence tags from steroid-responsive cells using mRNA differential display.

Transcriptional control of steroid-regulated gene networks by nuclear receptor proteins results in the coordinate expression of a limited number of target genes. Although much is known about the structure and function of steroid receptors, relatively few cell-specific steroid-regulated genes have been isolated and characterized. In this paper we describe results using mRNA differential display reverse transcriptase PCR (DDPCR) to identify and isolate short cDNA sequence tags from thymocyte and prostate cells under various hormone conditions. Using this technique we have isolated several differentially expressed sequence tags (DESTs) from the mouse thymocyte cell line WEHI 7.2. Two of these DESTs, GIG10 and GIG18, are rapidly induced by dexamethasone within 2 h of treatment. GIG10 is a novel sequence and GIG18 is the mouse homologue of a human expressed sequence tag isolated from activated B lymphocytes. We also used DDPCR to isolate DESTs from androgen-modulated rat ventral prostate tissue, one of which we characterized and found to correspond to the 3' end of prostatic spermine binding protein mRNA, a known androgen-regulated gene. Modifications of the original DDPCR protocol, which we found can potentially decrease the frequency of isolating false-positive DESTs, are described and the merits of DDPCR, relative to other differential cDNA cloning strategies, are discussed.

Androgens↗

Cholinergic and dopaminergic amacrine cells differentially express calcium channel subunits in the rat retina.

Immunofluorescence labeling was performed to study the expression of high voltage-activated Ca(2+) channel subunits on rat retinal cholinergic and dopaminergic amacrine cells, which were double labeled with antibodies against choline acetyltransferase and tyrosine hydroxylase, respectively. The alpha(1A) subunit was predominantly expressed on the processes but not on the somata of cholinergic amacrine cells, whereas staining for alpha(1B) and alpha(1E) was observed in both structures of the cells. Immunoreactivity of alpha(1C) and alpha(1D) was not found in the cholinergic amacrine cells. Dopaminergic amacrine cells, on the other hand, exhibited a differential expression pattern of the Ca(2+) channel subunits, with alpha(1A), alpha(1C) and alpha(1E) being expressed on both somata and processes and alpha(1B) predominantly on the processes of the cells. No alpha(1D) labeling was seen. These results suggest that Ca(2+) channel subunits differentially expressed on the cholinergic and dopaminergic amacrine cells may endow these two cell types with different physiological properties.

Acetylcholine↗

Differential expression of translational elements by life cycle variants of Coxiella burnetii.

Coxiella burnetii replicates as distinct morphological forms, which may allow potential life cycle variants to survive the harsh environment of the phagolysosome. Monoclonal antibodies (MAbs) were compared by Western blotting for reactivity with large cell variant (LCV) and small cell variant (SCV) antigens to characterize proteins differentially expressed by C. burnetii. MAb NM7.3 reacted with a approximately 32-kDa LCV-upregulated antigen, and MAb NM183 reacted with a approximately 45-kDa LCV-specific antigen. MAb NM7.3 was used to screen a lambdaZapII C. burnetii DNA expression library, and an immunoreactive clone was identified with sequence similarity to the Escherichia coli tsf gene, which encodes elongation factor Ts (EF-Ts). Since a similar screen with MAb NM183 did not identify immunoreactive clones, an alternate strategy was devised to clone the reactive antigen based on observations of cross-reactivity with the 45-kDa elongation factor Tu (EF-Tu) protein from Chlamydia trachomatis. The highly conserved nature of EF-Tu among eubacteria allowed PCR amplification of a tuf gene fragment (encoding approximately 95% of the predicted EF-Tu open reading frame) from C. burnetii using degenerate primers. The product of the cloned tuf gene fragment reacted with MAb NM183 in Western blot analysis, confirming the identity of the 45-kDa LCV-specific antigen. Identification of two proteins differentially expressed by C. burnetii, EF-Tu and EF-Ts, both essential components of the translational machinery of the cell, supports the hypothesis that LCVs are metabolically more active than SCVs.

Amino Acid Sequence↗

Selecting differentially expressed genes from microarray experiments.

High throughput technologies, such as gene expression arrays and protein mass spectrometry, allow one to simultaneously evaluate thousands of potential biomarkers that could distinguish different tissue types. Of particular interest here is distinguishing between cancerous and normal organ tissues. We consider statistical methods to rank genes (or proteins) in regards to differential expression between tissues. Various statistical measures are considered, and we argue that two measures related to the Receiver Operating Characteristic Curve are particularly suitable for this purpose. We also propose that sampling variability in the gene rankings be quantified, and suggest using the "selection probability function," the probability distribution of rankings for each gene. This is estimated via the bootstrap. A real dataset, derived from gene expression arrays of 23 normal and 30 ovarian cancer tissues, is analyzed. Simulation studies are also used to assess the relative performance of different statistical gene ranking measures and our quantification of sampling variability. Our approach leads naturally to a procedure for sample-size calculations, appropriate for exploratory studies that seek to identify differentially expressed genes.

Biomarkers, Tumor↗

Identification of differentially expressed genes in human gliomas by DNA microarray and tissue chip techniques.

New genomic large-scale screening techniques have made the task of establishing an accurate molecular fingerprint of cancer cells feasible. Here, we have used a two-phase strategy for identification of molecular alterations in gliomas. First, cDNA microarrays (Clontech Laboratories, Inc., Research Genetics) were used to pinpoint differentially expressed genes between normal brain and diffuse astrocytomas (grades II-IV), and between a primary tumor and a later tumor reoccurrence in the same patient. More than 200 gene expression alterations were detected from glioblastomas, whereas relatively few changes were seen in grade II and grade III tumors. The most distinct progression-related expression change was the up-regulation of the insulin-like growth factor binding protein 2 (IGFBP2) gene. Second, a high-density tissue microarray of 418 brain tumors was constructed and used for clinical validation of gene expression changes. Strong expression of IGFBP2 was associated with progression and poor patient survival in diffuse astrocytomas (P < 0.0001). Third, comparisons of the data between (a) multiple spots retrieved from one predefined tumor region (IGFBP2 and vimentin immunohistochemistry, 20 tumors) or between (b) standard slides and arrayed tissues (p53 immunohistochemistry, 42 tumors) revealed very little variation. In conclusion, the combined use of DNA microarrays and tissue microarrays offers a powerful strategy for rapid identification and thorough characterization of differentially expressed genes in gliomas.

Astrocytoma↗

Differentially expressed genes in neurofibromatosis 1-associated neurofibromas and malignant peripheral nerve sheath tumors.

Neurofibromas represent one of the hallmarks of neurofibromatosis 1 (NF1) patients. Tumor progression of neurofibromas to malignant peripheral nerve sheath tumors (MPNST) is a frequent and life threatening complication. To learn more about processes involved in malignant transformation, we evaluated differential gene expression in plexiform neurofibroma and MPNST from the same NF1 patient. Suppression subtractive hybridization (SSH) yielded 133 differentially expressed genes confirmed by reverse Northern blotting. Virtual Northern blots were employed to validate 23 genes. To independently verify differential expression, immunohistochemical analyses with antibodies to matrix metalloproteinase 13 (MMP13), platelet-derived growth factor receptor alpha (PDGFRA) and fibronectin (FN1) were performed on 9 dermal and 9 plexiform neurofibromas and 16 MPNST from 19 NF1 patients. All three proteins proved to be up-regulated in MPNST. MMP13 expression was observed in 44% of MPNST but was absent in neurofibromas. PDGFRA was expressed in all tumors, but the number of cells expressing it was below 30% in neurofibromas and over 50% in MPNST. Likewise, FN1 was expressed in all tumors, but less than 30% of the cells in neurofibromas and more than 70% of the cells in MPNST exhibited antibody binding. Our data point to several genes not previously recognized to be differentially expressed, and provide a framework for future studies on progression-associated gene expression in low- and high-grade nerve sheath tumors.

Adult↗

Differential expression of the 1-aminocyclopropane-1-carboxylate oxidase gene family of tomato.

The tomato ACC oxidase gene family is comprised of three members designated AC01, AC02 and AC03. These are highly homologous throughout the protein coding regions but do show a degree of sequence divergence within the 3' untranslated regions. These regions have been cloned and used as gene-specific probes to analyse the differential expression of the tomato ACC oxidase gene family in various tissues at different stages of development. Results indicate that all three genes are transcriptionally active and display a high degree of inducibility in a number of organs at various stages of the life cycle. Both AC01 and Ac03 transcripts accumulate during the senescence of leaves, fruit and flowers. In addition, it appears that AC01 is wound-inducible in leaves. All three ACC oxidase genes are expressed during flower development, with each showing a temporally distinct pattern of accumulation. In addition, the ACC oxidase transcripts are also spatially regulated throughout flower development; AC01 is predominantly expressed in the petals and the stigma and style, AC02 expression is mainly restricted to tissues associated with the anther cone whereas AC03 transcripts accumulate in all of the floral organs examined apart from the sepals. ACC oxidase enzyme assays and Western blot analysis indicate that both enzyme activity and ACC oxidase protein increase with transcript abundance in several tissues. The physiological role of the differential expression of the ACC oxidase gene family, in relation to the regulation of ethylene synthesis, during these various developmental processes is discussed.

Aging↗

Ranking genes with respect to differential expression.

BACKGROUND: In the pharmaceutical industry and in academia substantial efforts are made to make the best use of the promising microarray technology. The data generated by microarrays are more complex than most other biological data attracting much attention at this point. A method for finding an optimal test statistic with which to rank genes with respect to differential expression is outlined and tested. At the heart of the method lies an estimate of the false negative and false positive rates. Both investing in false positives and missing true positives lead to a waste of resources. The procedure sets out to minimise these errors. For calculation of the false positive and negative rates a simulation procedure is invoked. RESULTS: The method outperforms commonly used alternatives when applied to simulated data modelled after real cDNA array data as well as when applied to real oligonucleotide array data. In both cases the method comes out as the over-all winner. The simulated data are analysed both exponentiated and on the original scale, thus providing evidence of the ability to cope with normal and lognormal distributions. In the case of the real life data it is shown that the proposed method will tend to push the differentially expressed genes higher up on a test statistic based ranking list than the competitors. CONCLUSIONS: The approach of making use of information concerning both the false positive and false negative rates in the inference adds a useful tool to the toolbox available to scientists in functional genomics.

Gene Expression Profiling↗

Oligonucleotide-based analysis of differentially expressed genes in hippocampus of transgenic mice expressing NSE-controlled APPsw.

The complexity of Alzheimer's disease (AD) has made it difficult to examine its underlying mechanisms. A gene microarray offers a solution to the complexity through parallel analysis of most of the genes expressed in the hippocampal tissues from AD-transgenic and age-matched control littermates. This study examined the potential effect of APPsw over-expression on the modulation of genes for AD. To accomplish this, an oligonucleotide array was used with the large-scale screening of the hippocampus mRNA from 12-month-old APPsw-transgenic and control mice. There was a total of 116 differentially expressed genes, 59 up-regulated and 57 down-regulated, in the hippocampal region of the transgenic mice compared with the control mice. Initially, two of each of the down-regulated (Xlr3b and Mup3) and up-regulated genes (Serpina9 and Ccr6) were chosen for further investigation if the magnitude of change in these genes on the oligonucleotide array would correspond to those in the RT-PCR analysis from APPsw-transgenic mice. We also found that the changes in the differentially expressed genes are reliable. Thus, these genes might associate with AD neuropathology in neurodegenerative process of AD, although relevance of long lists altered genes should be evaluated in a future study.

Alzheimer Disease↗

Differential expression of insulin-like growth factor binding proteins in murine hematopoietic stromal cell lines.

The expression of the insulin-like growth factor (IGF) system in the hematopoietic microenvironment during ontogeny was studied utilizing immortalized murine cell lines established from several sites of hematopoiesis. Conditioned media was obtained from tissue cultures of murine yolk sac endoderm and mesoderm, fetal liver and adult bone marrow stromal cell lines. IGF-I and -II were quantified by radioimmunoassay and RT-PCR. The presence of insulin-like growth factor binding proteins (IGFBPs) in conditioned media was determined by Western ligand blot and Western immunoblot. IGF-I and IGF-II were present in conditioned media from every stromal cell line and differential expression of the IGFBPs was found among the hematopoietic sites. Stimulation of the cell lines with interleukin-1 alpha altered the IGFBPs in yolk sac endoderm and bone marrow conditioned media. We report that IGF-I and -II are expressed in stromal cell lines obtained from different ontogenic sites of hematopoiesis and IGFBPs are differentially expressed by these sites. The expression of IGFBPs, but not IGFs, is in part regulated by interleukin-1 alpha.

Animals↗

Identification of differentially expressed genes in metastatic and non-metastatic nasopharyngeal carcinoma cells by suppression subtractive hybridization.

BACKGROUND & OBJECTIVE: Nasopharyngeal carcinoma (NPC) is an epithelial neoplasm with high occurrence rates in southern China. The disease often metastasizes to regional lymphnodes at a very early stage. Local recurrences and metastasis occur frequently in patients with NPC and are a leading cause of death, despite improvements on treatment modalities. The molecular mechanism underlying the metastasis of nasopharyngeal carcinoma remains poorly understood, however, and requires additional elucidation. The aim of this study was to explore possible NPC gene candidates that may play key roles in NPC metastasis. METHODS: Subtractive suppression hybridization (SSH) was performed to isolate differentially expressed clones between the metastatic 5-8F and non-metastatic 6-10B nasopharyngeal carcinoma cell lines. Differentially expressed clones were screened and confirmed by reverse Northern blotting. The sequences of cDNA fragments were subsequently analyzed and compared to known sequences in Genbank. RESULTS & DISCUSSION: The SSH library contained thousands of positive clones. Random analysis of 300 clones by PCR demonstrated that 269 clones contained inserted fragments. Reverse Northern blot confirmed that 20 out of 192 clones examined were significantly up-regulated in the 5-8F cell line. Among these 20 clones, 16 were previously identified genes (flotilin-2, ezrin, pim-3, fli-1, mel, neugrin, znf216, ASB1, raly, UBE2A, keratin6A, TMED7, EIF3S9, FTL, two ribosomal proteins RPL21 and RPL16), two were predicted genes (c9orf74 and MDS006), and two sequences shared no homology with known genes listed in GenBank and may represent novel genes. The proposed functions of the genes identified in this study include cell signal transduction, cell survival, transcription regulation, cell mobility, protein synthesis, and DNA damage repair. Flotillin-2, fli-1, pim-3 and ezrin have previously been reported to be associated with tumor metastasis and progression. The remaining up-regulated genes identified in this study have not been reported to be markers of metastasis and may represent new candidates of NPC metastasis-related genes. The results of this study may provide novel points of therapeutic intervention for NPC.

DNA, Complementary↗

Identification and isolation by DDRT-PCR of genes differentially expressed by Histoplasma capsulatum during macrophages infection.

Establishment of infection and disease implies modifications in the genetic programmes of the cell systems that are involved and the differential expression of genes in both parasite and host. In order to identify and isolate relevant genes of the fungus, Histoplasma capsulatum, in which expression is specifically induced during its interaction with murine macrophages (Mphi), we performed a comparative analysis of the pattern of gene expression of the fungus before and after exposure to, and internalization into Mphi by using differential display reverse transcriptase-PCR (DDRT-PCR). Using a limited set of primer combinations, six cDNA fragments of H. capsulatum were identified and isolated; five representing fungal genes in which expressions were enhanced during Mphi infection, whereas one mRNA fragment was down-regulated. Slot blots followed by Northern blot analyses confirmed that the transcripts detected with cDNA clones were over expressed after 1 h of Mphi infection, whereas no transcripts were detected with mRNA purified from H. capsulatum before infection. Sequence analyses and database searches revealed no significant homology to any known sequence for five of these clones. One of the clones showed homology to the rat p105 kD protein, and to the p100 kD co-activator proteins of human and Caenorhabditis elegans. To our knowledge, this is the first experimental evidence that specific genes are differentially expressed by a fungal pathogen when it is exposed to, and phagocytosed by Mphi. Furthermore, these results show that the DDRT-PCR procedure has adequate sensitivity to detect fungal genes induced during parasite-host interaction to identify potential new targets that can be used to develop new antifungal drugs.

Amino Acid Sequence↗

GDEP, a new gene differentially expressed in normal prostate and prostate cancer.

BACKGROUND: The database of human expressed sequence tags (dbEST) is a potential source for the identification of tissue specific genes. The database contains sequences that originate from cDNA libraries from different tissues cell types and tumors. METHODS: Computer based analysis identified a cluster of sequence homologous ESTs, containing ESTs derived only from human prostate cDNA libraries. The tissue specificity was examined by multiple tissue RNA dot blots and RT-PCR. The new RNA transcript was characterized using northern blot analysis, RACE-PCR, and a ribonuclease protection assay. RESULTS: We have identified a gene differentially expressed in prostate using EST database analysis and experimental studies. We name the gene GDEP for gene differentially expressed in prostate. The major GDEP transcript is about 520 bp long. GDEP RNA was detected in nine prostate tissue samples, four normal and five cancer. Expression in prostate epithelial cells was established by in situ hybridization. Weak expression was detected in the prostate cancer cell line LNCaP. In vitro transcription/translation indicate that the RNA encodes a small 34 amino acid protein. The major transcript consists of two exons with one large intron (> 15 kb). The GDEP gene was mapped to chromosome 4q21.1 by radiation hybrid mapping. CONCLUSIONS: Our data proves that tissue specific genes can be identified by EST database mining. The prostate specificity of GDEP expression indicates that GDEP may be useful in the diagnosis or treatment of prostate cancer. Published 2001 Wiley-Liss, Inc.

Amino Acid Sequence↗

The Drosophila PAR domain protein 1 (Pdp1) gene encodes multiple differentially expressed mRNAs and proteins through the use of multiple enhancers and promoters.

Transcription factors are often expressed at several times and in multiple tissues during development and regulate diverse sets of downstream target genes by varying their combinatorial interactions with other transcription factors. The Drosophila Tropomyosin I (TmI) gene is regulated by a complex of proteins within the enhancer that synergistically interacts with MEF2 to activate TmI transcription as muscle cells fuse and differentiate. One of the components of this complex is PDP1 (PAR domain protein 1), a basic leucine zipper transcription factor that is highly homologous to three vertebrate genes that are members of the PAR domain subfamily. We have isolated and describe here the structure of the Pdp1 gene. The Pdp1 gene is complex, containing at least four transcriptional start sites and producing at least six different mRNAs and PDP1 isoforms. Five of the PDP1 isoforms differ by the substitution or insertion of amino acids at or near the N-terminal of the protein. At least three of these alternately spliced transcripts are differentially expressed in different tissues of the developing embryo in which PDP1 expression is correlated with the differentiation of different cell types. A sixth isoform is produced by splicing out part of the PAR and basic DNA binding domains, and DNA binding and transient transfection experiments suggest that it functions as a dominant negative inhibitor of transcription. Furthermore, two enhancers have been identified within the gene that express in the somatic mesodermal precursors to body wall muscles and fat body and together direct expression in other tissues that closely mimics that of the endogenous gene. These results show that Pdp1 is widely expressed, including in muscle, fat, and gut precursors, and is likely involved in the transcriptional control of different developmental pathways through the use of differentially expressed PDP1 isoforms. Furthermore, the similarities between Pdp1 and the other PAR domain genes suggest that Pdp1 is the homologue of the vertebrate genes.

Alternative Splicing↗