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Expression profiling of human idiopathic dilated cardiomyopathy.

OBJECTIVE: To investigate the global changes accompanying human dilated cardiomyopathy (DCM) we performed a large-scale expression screen using myocardial biopsies from a group of DCM patients with moderate heart failure. By hierarchical clustering and functional annotation of the deregulated genes we examined extensive changes in the cellular and molecular processes associated to DCM. METHODS: The expression profiles were obtained using a whole genome covering library (UniGene RZPD1) comprising 30336 cDNA clones and amplified RNA from myocardiac biopsies from 10 DCM patients in comparison to tissue samples from four non-failing, healthy donors. RESULTS: By setting stringent selection criteria 364 differentially expressed, sequence-verified non-redundant transcripts were identified with a false discovery rate of <0.001. Numerous genes and ESTs were identified representing previously recognised, as well as novel DCM-associated transcripts. Many of them were found to be upregulated and involved in cardiomyocyte energetics, muscle contraction or signalling. Two hundred and twenty-two deregulated transcripts were functionally annotated and hierarchically clustered providing an insight into the pathophysiology of DCM. Data was validated using the MLP-deficient mouse, in which several differentially expressed transcripts identified in the human DCM biopsies could be confirmed. CONCLUSIONS: We report the first genome-wide expression profile analysis using cardiac biopsies from DCM patients at various stages of the disease. Although there is a diversity of links between the cytoskeleton and the initiation of DCM, we speculate that genes implicated in intracellular signalling and in muscle contraction are associated with early stages of the disease. Altogether this study represents the most comprehensive and inclusive molecular portrait of human cardiomyopathy to date.

Adult↗

Gene expression profiling of dexamethasone-treated RBL-2H3 cells: induction of anti-inflammatory molecules.

Glucocorticoids are well known for their anti-inflammatory effect through the regulation of gene expression in many types of immune cells, including mast cells. However, the genes that are involved in suppression of mast cell-mediated inflammation by glucocorticoids have not been fully identified. Therefore, we examined the dexamethasone (Dex)-responsive genes in RBL-2H3 mast cells using a high-density oligonucleotide microarray technique. Gene expression profiling revealed that the antigen-induced up-regulation of pro-inflammatory factors, including monocyte chemoattractant protein-1, was markedly inhibited by 100 nM Dex. On the other hand, Dex treatment itself caused the substantial up-regulation of many genes, including phenylethanolamine-N-methyl transferase (PNMT) and cytokine-inducible SH2-containing protein (CISH), in the mast cells. The expression of these two genes significantly increased 6 h after Dex exposure and lasted for more than 24 h. Considering that PNMT is the rate-determining enzyme in epinephrine synthesis and that CISH is a suppressor of cytokine signaling, these Dex-responsive genes may be potential anti-inflammatory factors. Thus, gene expression profiling suggested that Dex might exert its anti-inflammatory effect through two pathways in mast cells: the suppression and induction of potentially pro- and anti-inflammatory factors, respectively.

Animals↗

Altered expression profiles of microRNAs during TPA-induced differentiation of HL-60 cells.

MicroRNAs (miRNAs) are highly conserved small non-coding RNAs that regulate gene expression through translational repression by base-pairing with partially complementary mRNAs. The expression of a set of miRNAs is known to be regulated developmentally and spatially, and is involved in differentiation or cell proliferation in several organisms. However, the expression profiles of human miRNAs during cell differentiation remain largely unknown. In an effort to expand our knowledge of human miRNAs, we investigated miRNAs during 12-O-tetradecanoylphorbol-13-acetate (TPA)-induced differentiation of human leukemia cells (HL-60) into monocyte/macrophage-like cells. Several hundred RNAs ranging from 18 to 26 nucleotides were isolated from HL-60 cells with or without TPA-induction, and subsequently characterized by sequencing, database searching, and expression profiling. By removing non-miRNA sequences, we found three novel and 38 known miRNAs expressed in HL-60 cells. These miRNAs could be further classified into subsets of miRNAs that responded differently following TPA induction, either being up-regulated or down-regulated, suggesting the importance of regulated gene expression via miRNAs in the differentiation of HL-60 cells.

Base Sequence↗

Altered expression profile of superoxide dismutase isoforms in nasal polyps from nonallergic patients.

OBJECTIVE/HYPOTHESIS: Nasal polyposis (NP) is a chronic inflammatory disease of the upper respiratory tract. The pathophysiology is unknown but has been shown to be multifactorial. Free radical-mediated damage has been implicated in the pathogenesis of NP. Superoxide dismutases (SODs) are the first and the most important line of antioxidant enzyme defense against reactive oxygen species. Moreover, isozymes of the SOD family are critical for modulating the activity of nitric oxide, a gaseous free radical that is believed to play roles in the physiology and pathology of respiratory tracts. However, the expression profile of SOD isoforms in NP remains unclear. We aimed to investigate the expression profile of the SOD isoforms in nasal polyps from nonallergic patients. STUDY DESIGN: Prospective study. METHODS: Nasal polyp tissues were obtained from eight nonallergic patients who underwent elective polypectomy; mucosal specimens from the middle turbinates were acquired from eight subjects without NP as control tissues. The expression profile of SOD isoenzymes, SOD1, SOD2, and SOD3, in the nasal tissues was determined by reverse transcription-polymerase chain reaction (RT-PCR), enzyme-linked immunosorbent assay (ELISA), and Western blotting (WB). RESULTS: NP in all eight of the NP patients manifested as severe or recurrent sinonasal polyposis clinically. The expression pattern of SOD isoenzymes evaluated by RT-PCR analysis indicated that the mean levels of SOD1 mRNA and, to a greater extent, SOD3 mRNA were higher in polyp tissues than in control tissues. There was no significant difference in the expression levels of SOD2 mRNA between the two groups. The data from ELISA and WB analysis showed that there were increased expressions of SOD1 and SOD3 protein in polyp tissues compared with the control tissues, but there was no difference in the expression of SOD2 protein between the two groups. The results from RT-PCR, ELISA, and WB were paralleled and revealed that the expressions of SOD1 and, to a greater extent, SOD3 were higher in polyp tissues than in the control group. CONCLUSIONS: The expressions of SOD3 and SOD1 were higher in polyp tissues. These results are consistent with previously reported data and support the hypothesis that there is increased oxidative stress in NP. Our data also suggest that the SODs might be important in the pathogenesis of NP; however, the roles these SOD isoforms, especially SOD3, play in both normal nasal mucosa and NP require further clarification.

Adult↗

Identification of depot-specific human fat cell progenitors through distinct expression profiles and developmental gene patterns.

Anatomically separate fat depots differ in size, function, and contribution to pathological states, such as the metabolic syndrome. We isolated preadipocytes from different human fat depots to determine whether the basis for this variation is partly attributable to differences in inherent properties of fat cell progenitors. We found that genome-wide expression profiles of primary preadipocytes cultured in parallel from abdominal subcutaneous, mesenteric, and omental fat depots were distinct. Interestingly, visceral fat was not homogeneous. Preadipocytes from one of the two main visceral depots, mesenteric fat, had an expression profile closer to that of subcutaneous than omental preadipocytes, the other main visceral depot. Expression of genes that regulate early development, including homeotic genes, differed extensively among undifferentiated preadipocytes isolated from different fat depots. These profiles were confirmed by real-time PCR analysis of preadipocytes from additional lean and obese male and female subjects. We made preadipocyte strains from single abdominal subcutaneous and omental preadipocytes by expressing telomerase. Depot-specific developmental gene expression profiles persisted for 40 population doublings in these strains. Thus, human fat cell progenitors from different regions are effectively distinct, consistent with different fat depots being separate mini-organs.

Adipose Tissue↗

Gene expression profiling and characterization under hemin limitation in Porphyromonas gingivalis.

Hemin is an important nutrient for Porphyromonas gingivalis growth and pathogenicity. We examined the gene expression profile of P. gingivalis, including genes involved in its pathogenicity, at various growth stages under hemin-standard and limited conditions by using a custom-made microarray. The transcription of many genes decreased after late-log and mid-log phases under hemin-standard and limited conditions, respectively. We focused on two groups of genes while comparing gene expression profiles under hemin-standard and limited conditions by gene tree analysis. Genes belonging to group A maintained high transcriptional levels, whereas genes in group B were expressed at low levels under standard hemin conditions. However, group B genes increased remarkably under hemin-limited conditions. Groups A and B contained genes involved in regulatory functions and protein fate, respectively. Genes related to energy metabolism, transport, and protein binding were present in both groups. Our results suggest that P. gingivalis experienced severe stress under hemin-limited conditions, and growth phase-dependent changes in transcription levels were observed for many genes. Moreover, increased expression of genes involved in energy metabolism suggests that hemin is related not only to pathogenicity, but also energy metabolism.

Bacterial Proteins↗

Meta- and reanalysis of gene expression profiles of hot and cold thyroid nodules and papillary thyroid carcinoma for gene groups.

CONTEXT: There are an increasing number of studies analyzing gene expression profiles in various benign and malignant thyroid tumors. This creates the opportunity to validate results obtained from one microarray study with those from other data sets. This process requires rigorous methods for accurate comparison. OBJECTIVE: The ability to compare data sets derived from different Affymetrix GeneChip generations and the influence of intra- and interindividual comparisons of gene expression data were evaluated to build multigene classifiers of benign thyroid nodules to verify a previously proposed papillary thyroid carcinoma (PTC) classifier and to look for molecular pathways essential for PTC oncogenesis. METHODS: Gene expression profile data sets from autonomously functioning and cold thyroid nodules and from PTC were analyzed by support vector machines. GenMAPP analysis was used for PTC data analysis to examine the expression patterns of biologically relevant gene sets. RESULTS: Only intraindividual reference samples allowed the identification of subtle changes in the expression patterns of relevant signaling cascades, such as the MAPK pathway in PTC. Using an artificial intelligence approach, the autonomously functioning and cold thyroid nodule multigene classifiers were derived and evaluated by cross-comparisons. CONCLUSION: We recommend defining classifiers within one generation of gene chips and subsequently checking them across different array generations. Using this approach, we have demonstrated the specificity of a previously reported PTC classifier on an independent collection of benign tumors. Moreover, we propose multigene classifiers for different types of benign thyroid nodules.

Algorithms↗

Preliminary investigation of gene expression profiles in peripheral blood lymphocytes in schizophrenia.

Schizophrenia is a heterogenous disorder that is phenomenologically characterised by a combination of negative, positive, and cognitive symptoms with variable expression in the course of illness. Here, we investigated differential gene expression in relation to age to address the heterogeneity of this disorder We used 6000 gene cDNA microarrays to generate gene expression profiles from peripheral blood lymphocytes from 14 individuals with schizophrenia and 14 non-psychiatric controls. Genes showing altered expression were identified and 18 genes with brain-related functions were altered, 4 of which, endothelial differentiation gene 2 (Edg-2), ezrin-radixin-moesin phosphoprotein 50 (EBP50), Myc-associated zinc finger protein (MAZ) and Tumor Necrosis Factor Receptor 2 (TNFR2), were confirmed by relative real-time PCR. Dendrograms were constructed using genes that showed significantly different expression (p<0.05) between groups based on median split of age dividing the matched pairs into distinct subclasses. Our findings suggest that distinct gene expression profiles in peripheral blood lymphocytes associated with schizophrenia phenotypes may provide a first step towards the biological classification of schizophrenia subtypes. The validity of this approach may lead to better methods of defining this enigmatic disease.

Adolescent↗

Bovine mammary gene expression profiling using a cDNA microarray enhanced for mammary-specific transcripts.

A cDNA microarray resource enhanced for transcripts specific to the bovine mammary gland (BMAM) has been developed and used in pilot studies to examine gene expression profiles in the mammary gland. One goal driving development of this resource was to shed some light on the pathways and mechanisms specifically related to bovine mammary gland growth and development. To accomplish this, gene expression patterns from bovine adipose, liver, adrenal, lymph, spleen, thymus, gut, and developing mammary tissue were compared using the BMAM microarray. We have thus identified a putative set of 16 genes being preferentially expressed in developing mammary gland. Another of our long-term goals is to elucidate the genes and pathways associated with bovine lactation and involution and to use these as a model for human mammary gland development as it relates to human breast cancer risks. To begin this process, we conducted a pilot study, comparing gene expression profiles of lactating bovine mammary tissue against nonlactating tissue on the BMAM microarray. Our results have yielded many novel and interesting genes exhibiting differential expression in lactating mammary tissue, including oncogenes (VAV3, C-myc), mediators of apoptosis (Caspase 8), and cell cycle regulators (LASP1).

Animals↗

Cellular response to gene expression profiles of different hepatitis C virus core proteins in the Huh-7 cell line with microarray analysis.

In the current investigation, we constructed recombinants of expression of HCV genotype 1b, 2a, and 4d whole core proteins and established a human hepatoma (Huh-7) cell line which expressed different core proteins constitutively. In the Affymetrix human gene chip, the HG-U133 A and B were employed for identification of variant core protein gene expression in the Huh-7 cell line. In data analysis, we applied a threshold that eliminated all genes that were not increased or decreased by at least a 3-fold change in a comparison between transfected cells and control cells. All of these genes were annotated by using NetAffx analysis through the Affymetrix website and categorized on the basis of their biological processes. The microarray analysis result suggested that the gene expression profiles caused by three kinds of core proteins were mainly shown in metabolism, signal transduction, protease activity, immune responses, etc. and that some pathogenesis/oncogenesis, apoptosis, or anti-apoptosis gene expression were up/down-regulated simultaneously in the Huh-7 cell line. In conclusion, the gene expression profiles of variant core proteins were implicated in HCV replication, pathogenesis, or oncogenesis in the Huh-7 cell line, which is useful for our understanding of HCV variant core protein biological function and its pathogenic mechanism.

Carcinoma, Hepatocellular↗

Digital expression profiles of the prostate androgen-response program.

The androgen receptor (AR) and cognate ligands regulate vital aspects of prostate cellular growth and function including proliferation, differentiation, apoptosis, lipid metabolism, and secretory action. In addition, the AR pathway also influences pathological processes of the prostate such as benign prostatic hypertrophy and prostate carcinogenesis. The pivotal role of androgens and the AR in prostate biology prompted this study with the objective of identifying molecular mediators of androgen action. Our approach was designed to compare transcriptomes of the LNCaP prostate cancer cell line under conditions of androgen depletion and androgen stimulation by generating and comparing collections of expressed sequence tags (ESTs). A total of 4400 ESTs were produced from LNCaP cDNA libraries and these ESTs assembled into 2486 distinct transcripts. Rigorous statistical analysis of the expression profiles indicated that 17 genes exhibited a high probability (P>0.9) of androgen-regulated expression. Northern analysis confirmed that the expression of KLK3/PSA, FKBP5, KRT18, DKFZP564K247, DDX15, and HSP90 is regulated by androgen exposure. Of these, only KLK3/PSA is known to be androgen-regulated while the other genes represent new members of the androgen-response program in prostate epithelium. LNCaP gene expression profiles defined by two independent experiments using the serial analysis of gene expression (SAGE) method were compared with the EST profiles. Distinctly different expression patterns were produced from each dataset. These results are indicative of the sensitivity of the methods to experimental conditions and demonstrate the power and the statistical limitations of digital expression analyses.

Adenocarcinoma↗

T cell gene expression profiling identifies distinct subgroups of Japanese multiple sclerosis patients.

To clarify the molecular background underlying the heterogeneity of multiple sclerosis (MS), we characterized the gene expression profile of peripheral blood CD3+ T cells isolated from MS and healthy control (CN) subjects by using a cDNA microarray. Among 1258 cDNAs on the array, 286 genes were expressed differentially between 72 untreated Japanese MS patients and 22 age- and sex-matched CN subjects. When this set was used as a discriminator for hierarchical clustering analysis, it identified four distinct subgroups of MS patients and five gene clusters differentially expressed among the subgroups. One of these gene clusters was overexpressed in MS versus CN, and particularly enhanced in the clinically most active subgroup of MS. After 46 of the MS patients were treated with interferon-beta (IFNbeta-1b) for two years, IFNbeta responders were clustered in two of the four MS subgroups. Furthermore, the IFNbeta responders differed from nonresponders in the kinetics of IFN-responsive genes at 3 and 6 months after starting IFNbeta treatment. These results suggest that T-cell gene expression profiling is valuable to identify distinct subgroups of MS associated with differential disease activity and therapeutic response to IFNbeta.

Adjuvants, Immunologic↗

Gene expression profiling of neu-induced mammary tumors from transgenic mice reveals genetic and morphological similarities to ErbB2-expressing human breast cancers.

Numerous studies have shown that the overexpression and amplification of ErbB2/Neu are observed in 20-30% of patients afflicted with breast cancer. Furthermore, it has also been observed that the elevated expression of ErbB2/Neu also correlates with poor prognosis and clinical outcome. Given the prevalence of this disease, we sought to create mouse models that mimic the human condition. In this study, we compared two mouse models expressing activated neu under the control of the endogenous and mouse mammary tumor virus promoters. Although histologically similar, the latency and metastatic potential of these tumors are remarkably different. Gene expression profiling of tumor RNA from the two Neu mouse models revealed distinctive and nonoverlapping patterns of gene expression. Consistent with noninvasive nature of the mammary tumors induced by expression of neu under the endogenous promoter, these tumors expressed a number of markers characteristic of a highly differentiated state. In addition to these differences, these analyses revealed that in contrast to the mouse mammary tumor virus-based Neu model, the endogenous promoter tumors expressed elevated levels of two genes (Grb7 and Cab1) that are closely linked to ErbB2 and often coamplified in noninvasive ductal carcinoma in situ. Furthermore, this analysis has revealed several transcription factors that may be involved in ErbB2-mediated tumorigenesis. Taken together, these results illustrate the similarity of the endogenously regulated Neu tumor model to the human disease.

Animals↗

CLOE: identification of putative functional relationships among genes by comparison of expression profiles between two species.

BACKGROUND: Public repositories of microarray data contain an incredible amount of information that is potentially relevant to explore functional relationships among genes by meta-analysis of expression profiles. However, the widespread use of this resource by the scientific community is at the moment limited by the limited availability of effective tools of analysis. We here describe CLOE, a simple cDNA microarray data mining strategy based on meta-analysis of datasets from pairs of species. The method consists in ranking EST probes in the datasets of the two species according to the similarity of their expression profiles with that of two EST probes from orthologous genes, and extracting orthologous EST pairs from a given top interval of the ranked lists. The Gene Ontology annotation of the obtained candidate partners is then analyzed for keywords overrepresentation. RESULTS: We demonstrate the capabilities of the approach by testing its predictive power on three proteomically-defined mammalian protein complexes, in comparison with single and multiple species meta-analysis approaches. Our results show that CLOE can find candidate partners for a greater number of genes, if compared to multiple species co-expression analysis, but retains a comparable specificity even when applied to species as close as mouse and human. On the other hand, it is much more specific than single organisms co-expression analysis, strongly reducing the number of potential candidate partners for a given gene of interest. CONCLUSIONS: CLOE represents a simple and effective data mining approach that can be easily used for meta-analysis of cDNA microarray experiments characterized by very heterogeneous coverage. Importantly, it produces for genes of interest an average number of high confidence putative partners that is in the range of standard experimental validation techniques.

Animals↗

Antigen-induced differential gene expression in lymphocytes and gene expression profile in synovium prior to the onset of arthritis.

To explore early signature genes playing critical roles in the initial steps in an autoimmune murine model of rheumatoid arthritis (RA) (proteoglycan (PG)-induced arthritis; PGIA), we performed gene expression profiling of "arthritogenic" spleen cells stimulated with cartilage PG, and compared them to differentially expressed genes, identified in joints prior to the onset of arthritis, and then in the acute and chronic phases of the disease. A total of 280 genes were up-regulated and 226 genes were suppressed in in vitro PG-stimulated lymphocytes at a minimum of 2-fold expression change. Functional gene classification identified several major clusters of biological activity. Expression of immunoglobulin genes (66 transcripts) was downregulated by approximately 3.7-fold, whereas most of the other genes with immune/inflammation-associated functions such as interleukins (IL-1, -2, -4, -6, -10, -12, -16, -17), chemokine receptors and their ligands (Cxcl1, Ccl2, 7, 8, 9, 10, 22, Ccr2, Ccr5), and major components of the complement cascade were upregulated. Using adoptive disease transfer with stimulated lymphocytes into SCID mice, followed by gene expression profiling of SCID paws, indicated that 37 genes were differentially expressed in yet non-inflamed (pre-arthritic) paws; these genes were related mostly to chemokine, IFN-gamma and TNF-alpha signaling. However, the majority of differentially expressed immune response-related genes were silent in pre-arthritic joints, and only 12 genes were found differentially expressed both in antigen (PG)-stimulated lymphocytes and in the synovium prior to the onset of arthritis. Most of these "arthritis-initiation" genes belonged to chemokine mediated cell motility. Transcripts of chemokine receptor 5 (Ccr5), chemokine ligand 7 (Ccl7) and IFN-gamma-inducible proteins (Ifi47) and GTP-ase 1 were expressed at the highest levels in both antigen-stimulated lymphocytes and pre-inflamed synovium, which suggests a key role of these genes in both lymphocyte maturation and arthritis initiation.

Adoptive Transfer↗

Immune responses to trichloroethylene and skin gene expression profiles in Sprague Dawley rats.

OBJECTIVE: To characterize the immune reaction in SD rats exposed to trichloroethylene (TCE) and to identify the gene expression profiles involved in skin after TCE exposure. METHODS: Fifteen percent of TCE was injected intradermally into the rat back (100 microL/120 g) at intervals of 7 days. Whole blood was collected 24 h after the fifth or seventh intradermic administration of TCE. The percentages of CD4+ and CD8+ of T lymphocytes were measured by a flow cytometer. The concentrations of IFN-gamma and IL-4 in the serum were semi-quantified by ELISA. Total RNAs of skin samples at 3 h or 24 h after the seventh dose of TCE in SD rats were extracted, and gene expression profiles of these tissues were analyszed by rat toxicology U34 array of Affymetrix. RESULTS: Obvious decline of CD4+ in T lymphocytes was observed in the TCE-administer group. No significant concentration differences in IFN-gamma and IL-4 were found between TCE-treated and control rats. Gadd45a and Mel were significantly up regulated in skin tissue 24 h after TCE exposure. The expression regulation of immune response factors was as active as proteins associated with lipid metabolism and synthesis process in these skin samples of SD rats exposed to TCE. CONCLUSION: T-helper type 1 cells mediate immune response can not be elicited in TCE-treated SD rats, but certain immune disorder can be induced.

Animals↗

ZAP-70 expression identifies a chronic lymphocytic leukemia subtype with unmutated immunoglobulin genes, inferior clinical outcome, and distinct gene expression profile.

The presence or absence of somatic mutations in the expressed immunoglobulin heavy chain variable regions (IgVH) of chronic lymphocytic leukemia (CLL) cells provides prognostic information. Patients whose leukemic cells express unmutated IgVH regions (Ig-unmutated CLL) often have progressive disease, whereas patients whose leukemic cells express mutated IgVH regions (Ig-mutated CLL) more often have an indolent disease. Given the difficulty in performing IgVH sequencing in a routine diagnostic laboratory, this prognostic distinction is currently unavailable to most patients. Pilot gene expression profiling studies in patients with CLL identified genes that were differentially expressed between the Ig-unmutated and Ig-mutated CLL subtypes. Here, we have profiled an expanded cohort of 107 patients and show that ZAP-70 is the gene that best distinguishes the CLL subtypes. Ig-unmutated CLL expressed ZAP-70 5.54-fold more highly than Ig-mutated CLL (P < 10(-21)). ZAP-70 expression correctly predicted IgVH mutation status in 93% of patients. ZAP-70 expression and IgVH mutation status were comparable in their ability to predict time to treatment requirement following diagnosis. In 7 patients, ZAP-70 expression and IgVH mutation status were discordant: 4 Ig-mutated CLLs had high ZAP-70 expression and 3 Ig-unmutated CLLs had low ZAP-70 expression. Among these ZAP-70 "outliers," those with Ig-mutated CLL had clinical features that are uncharacteristic of this CLL subtype: 2 required early treatment and 2 used a mutated VH3-21 gene, an IgVH gene that has been associated with progressive disease. We developed reverse transcriptase-polymerase chain reaction and immunohistochemical assays for ZAP-70 expression that can be applied clinically and would yield important prognostic information for patients with CLL.

ADP-ribosyl Cyclase↗

Xenopus Zic4: conservation and diversification of expression profiles and protein function among the Xenopus Zic family.

We compared the expression and function of Xenopus Zic4 with those of the other four Xenopus laevis Zic family members (Zic1, Zic2, Zic3, and Zic5). Zic4 expression was detected mainly in the neural plate border, dorsal neural tube, and somites, and was similar to that of Zic1, which is adjacent to Zic4 on the same chromosome. Injection of wild-type or mutant Zic4 RNA caused the induction of neural crest marker gene expression, hyperplastic neural tissue, and ectopic pigment cell formation, indicating that Zic4 can induce neural and neural crest tissue, as can other Xenopus Zic genes. Deletion analysis showed that the zinc-finger domain is critical for many Zic4 functions, but the C-terminal region is differently involved in induction of two neural crest markers, Slug and Sox10. The protein function as determined by the animal cap explant assay was similar to that of Zic5, but different from those of Zic1, Zic2, and Zic3, suggesting that Xenopus Zic genes can be divided into two groups based on function. These results indicate that the five Xenopus Zic genes cooperatively regulate both neural and neural crest development, despite significantly diverged expression profiles and functions.

Amino Acid Sequence↗