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Repression of phase-variable cup gene expression by H-NS-like proteins in Pseudomonas aeruginosa.

The cupA gene cluster of Pseudomonas aeruginosa encodes components of a putative fimbrial structure that enable this opportunistic human pathogen to form biofilms on abiotic surfaces. In P. aeruginosa, cupA gene expression is repressed by MvaT, a putative transcription regulator thought to belong to the H-NS family of nucleoid-associated proteins that typically function by repressing transcription. Here, we present evidence that MvaT controls phase-variable (ON/OFF) expression of the cupA fimbrial gene cluster. Using a directed proteomic approach, we show that MvaT associates with a related protein in P. aeruginosa called MvaU. Analysis with a bacterial two-hybrid system designed to facilitate the study of protein dimerization indicates that MvaT and MvaU can form both heteromeric and homomeric complexes, and that formation of these complexes is mediated through the N-terminal regions of MvaT and MvaU, both of which are predicted to adopt a coiled-coil conformation. We show further that, like MvaT, MvaU can repress phase-variable expression of the cupA gene cluster. Our findings suggest that fimbrial genes important for biofilm formation can be expressed in a phase-variable manner in P. aeruginosa, provide insight into the molecular mechanism of MvaT-dependent gene control, and lend further weight to the postulate that MvaT proteins are H-NS-like in nature.

Bacterial Proteins↗

Incorporation of gene-specific variability improves expression analysis using high-density DNA microarrays.

BACKGROUND: The assessment of data reproducibility is essential for application of microarray technology to exploration of biological pathways and disease states. Technical variability in data analysis largely depends on signal intensity. Within that context, the reproducibility of individual probe sets has not been hitherto addressed. RESULTS: We used an extraordinarily large replicate data set derived from human placental trophoblast to analyze probe-specific contribution to variability of gene expression. We found that signal variability, in addition to being signal-intensity dependant, is probe set-specific. Importantly, we developed a novel method to quantify the contribution of this probe set-specific variability. Furthermore, we devised a formula that incorporates a priori-computed, replicate-based information on probe set- and intensity-specific variability in determination of expression changes even without technical replicates. CONCLUSION: The strategy of incorporating probe set-specific variability is superior to analysis based on arbitrary fold-change thresholds. We recommend its incorporation to any computation of gene expression changes using high-density DNA microarrays. A Java application implementing our T-score is available at http://www.sadovsky.wustl.edu/tscore.html.

Algorithms↗

Application of oligonucleotide microarrays to assess the biological effects of neoadjuvant imatinib mesylate treatment for localized prostate cancer.

PURPOSE: Neoadjuvant administration of antineoplastic therapies is used to rapidly assess the clinical and biological activity of novel systemic treatments. To assess the feasibility of using microarrays to assess molecular end points following targeted treatment in a heterogeneous tumor, we measured global gene expression in localized prostate cancer before and following neoadjuvant treatment with imatinib mesylate. PATIENTS AND METHODS: Patients with intermediate-risk to high-risk prostate cancer were treated for 6 weeks with 200 to 300 mg of oral imatinib mesylate. Frozen tissue was obtained from pretreatment ultrasound-guided biopsies and posttreatment radical prostatectomy specimens. Oligonucleotide microarray analysis following laser capture microdissection (LCM) and RNA amplification was used to assess gene expression changes associated with imatinib mesylate therapy. Immunohistochemistry was used to measure protein expression of MKP1 and CD31 and to assess cellular apoptosis. RESULTS: Of the 11 patients enrolled, high-quality microarray data was obtained from both biopsies (n = 7) and radical prostatectomy specimens (n = 9). Technically introduced intrasample gene expression variability was found to be significantly less than intertumor biological variability. Large gene expression differences were observed, and the gene with the most consistent differential expression (MKP1) was validated by immunohistochemistry. Gene set enrichment analysis suggests that imatinib mesylate therapy results in apoptosis of microvascular endothelial cells, an observation anecdotally supported by immunohistochemistry. CONCLUSIONS: This study shows that high-quality microarray data can be generated using LCM and RNA amplification to discover potential mechanisms of targeted therapy in cancer.

Adenocarcinoma↗

Expression profiles of 50 xenobiotic transporter genes in humans and pre-clinical species: a resource for investigations into drug disposition.

Carrier-mediated transporters play a critical role in xenobiotic disposition and transporter research is complicated by species differences and their selective tissue expression. The purpose of this study was to generate a comprehensive data set of xenobiotic transporter gene expression profiles in humans and the pre-clinical species mouse, rat, beagle dog and cynomolgus monkey. mRNA expression profiles of 50 genes from the ABC, SLC and SLCO transporter superfamilies were examined in 40 human tissues by microarray analyses. Transporter genes that were identified as enriched in the liver or kidney, or that were selected for their known roles in xenobiotic disposition, were then compared in 22 tissues across the five species. Finally, as clinical variability in drug response and adverse reactions may be the result of variability in transporter gene expression, variability in the expression of selected transporter genes in 75 human liver donors were examined and compared with the highly variable drug metabolizing enzyme CYP3A4.

Animals↗

Role of variable region gene expression and environmental selection in determining the antiphosphorylcholine B cell repertoire.

To evaluate the role of environmental selective processes, as opposed to variable region gene expression, in the determination of B cell repertoire expression, we have assessed the phosphorylcholine (PC)-specific repertoire of precursor cells that remain in bone marrow cell populations after the removal of surface immunoglobulin (sIg)-bearing cells. Such cells are assumed to represent a stage in B cell maturation before the expression of sIg, and thus at a time when they have not as yet interfaced with environmental influences that operate through sIg receptors such as antigenic stimulation, tolerance, or antiidiotypic regulation. The repertoire as expressed in these cells, therefore, should reflect the readout of immunoglobulin variable region genes as they are expressed in progenitors to B cells. The results of these studies indicate that, as in mature primary B cell pools of BALB/c mice, the majority of PC-responsive sIg- bone marrow cells are of the T15 clonotype. Thus, environmental selective mechanisms would not appear to be required for the high frequency of B cells of the T15 idiotype in the primary B cell repertoire of BALB/c mice. Analysis of the sIg- bone marrow cells in (CBA/N X BALB/c)F1 male mice demonstrated that the deficit of PC-responsive mature B cells, which is a characteristic of this murine strain, must occur after receptor expression, since a normal frequency of PC-responsive and T15-expressing cells is present in their sIg- bone marrow population. Finally, these same mice were used to obtain bone marrow cell preparations from individual leg bones, so as to permit an analysis of the occurrence of T15+ and T15- clonotypes within individual bone marrow populations. The findings from these studies indicate that T15+ B cells occur as a high frequency event within bone marrow generative cell pools. Furthermore, bone marrow populations that are positive for PC-responsive precursor cells often display multiple copies of such precursor cells that are exclusively either T15+ or T15-. This finding indicates that clonal expansion of cells within the B cell lineage apparently occurs before immunoglobulin receptor acquisition.

Animals↗

Characterization of the immunoglobulin light chain variable region gene expressed in multiple myeloma.

We studied the organization, diversification and clinical significance of the immunoglobulin light chain (IgL) variable region genes expressed in 17 kappa-chain and 16 lambda-chain producing multiple myeloma (MM) samples. The V genes from 31 MM samples had over 84.9% homology to the known germline Vkappa/lambda genes, whereas one Vkappa and one Vlambda gene had only 75.5% and 65.9% homology, respectively. While all five Jkappa segments were equally used, only Jlambda-1 or Jlambda-2/3 was used among seven Jlambda segments. N nucleotide addition was found at two Vkappa-Jkappa and five Vlambda-Jlambda junctions. The lambda-chain complementarity determining region (CDR)-3 was longer and more variable than the kappa-chain CDR-3 mainly due to junctional flexibility of Vlambda and Jlambda segments. Somatic mutations were more frequent in the Jlambda than the Jkappa segments, and were distributed in the CDR-3 as well as the frame work region (FWR)-4. Those of the Jkappa segments, however, were limited to FWR-4. In FWR-4, replacement mutations were clustered at codon 106 of kappa-chain and 103 of lambda-chain. Thus nucleotide mutation or conservation was dependent on position, indicating a structural necessity of IgL for the development of myeloma cells in addition to a non-random distribution of mutations. There was no characteristic IgL sequence according to the isotype of M-protein, clinical stage or renal complication.

Adult↗

The use of Bayesian analysis of PCR-derived genomic DNA sequences to enable a biologically relevant interpretation of immunoglobulin variable region gene expression.

We analyzed by means of polymerase chain reactions (PCRs) and DNA sequencing techniques the immunoglobulin heavy chain variable region genes of bone marrow B lineage cells. We first formulated an explanatory model to guide understanding of the biological mechanisms determining both the size of the total available pool of relevant genes and clonal expansion following heavy chain gene rearrangement. We then followed Box's paradigm of criticism and estimation to interpret our experimental findings.

Base Sequence↗

Diversity of Ig light chain variable region gene expression in fetal lambs.

The usage of lambda and kappa light chain variable region genes in peripheral fetal lamb B cells was assessed at intervals from 61 to 146 days of gestation (term = 150 days). Transcripts of 12 distinct Vlambda genes were identified, eight of which belonged to the previously described families I or II, while four segments defined a new Vlambda family, provisionally called family VI. A total of six different Vkappa gene segments were identified and grouped into four families, while two Jkappa gene segments were expressed. Southern blot analysis indicated that the sheep Igkappa locus probably contains approximately 10 Vkappa genes and suggests that the V gene cluster has been duplicated. Throughout fetal ontogeny, Vkappa transcripts contained more diverse CDR3 sequences than did Vlambda transcripts, where the V-J junctions were nearly always invariant and canonical. There was also a shift in usage of Vkappa genes and in the pattern of Vkappa-Jkappa gene recombination during fetal ontogeny.

Animals↗

[Inter-individual variability of gene expression detected by biochips].

BACKGROUND: For gene expression profiling in leukemia patients we use array technologies in our laboratory. The assays are based on the comparison of patient and control expression profiles. Expression profile of the control sample should be representative but there is a problem of inter-individual variability in population, because also healthy persons display differences in gene transcription activity. Aim of the study was to characterize expression profiles of controls and to determine variability rate. METHODS AND RESULTS: The control group comprised 15 "healthy" persons (9 peripheral bloods, 2 bone marrows, 4 cord bloods) from various age categories (0 to 56 years). Expression profiles were detected using Atlas Human Cancer cDNA Expression Arrays (Clontech) with 588 gene probes. Total RNAs were isolated from leukocytes and were reverse transcribed into cDNA. Out of 588 tested genes on average 24% were detected. Inter-individual variability of gene expression profiles of leukocytes from the same tissue did not exceed 25%. Majority of the genes, with significant changes in leukemia patients, was expressed at similar level in the control group, with the exception of bone marrow and cord blood samples that demonstrated higher expression of PCNA, MMP8, MMP9 genes. In bone marrow high PCNA expression could result from active cell proliferation in this tissue. Strong expressions of MMP8 and MMP9 might be associated with the presence of cell precursors because there were not detected in peripheral blood leukocytes. Expression of some genes was tissue specific or followed "ontogenetic" trend. CONCLUSIONS: The inter-individual expression variability has to be taken into account in expression comparative analyses. In order to minimize the influence of existing variability we use mixed control samples and statistical data processing.

Adult↗

H3K27me3 chromatin heterogeneity reveals variable cell responses to estrogen and endocrine treatment.

Gene expression heterogeneity generates subpopulations of tumor cells that can evade therapeutic pressure. This heterogeneity has been observed in both primary Estrogen Receptor alpha positivebreast tumors and cell lines. Therefore, understanding the mechanisms regulating expression heterogeneity is critical towards developing effective therapies. A key contributor to gene expression variability is the stochastic nature of transcription. Transcription occurs in a probabilistic, burst-like manner, in which gene activation occurs intermittently, producing RNA in pulses and interspersed with transcriptional off-periods. The estrogen-responsive gene TFF1 is expressed in the majority ofbreast tumors and exemplifies such heterogeneity, with transcriptional inactivity ranging from minutes to several days. Here, we identify the molecular mechanism underlying the wide range in TFF1 expression by analyzing cells sorted based on their TFF1 activity levels. We observed that TFF1 inactive (TFF1low) cells exhibit a repressive chromatin state marked by H3K27me3 at the TFF1 promoter and enhancer. Despite global similarity inbinding, occupancy at the TFF1 regulatory elements was selectively reduced in TFF1low cells, resulting in fewer active alleles and diminished transcriptional bursting frequency. Conversely, TFF1high cells exhibited more active TFF1 alleles and hyperbursting. These cells also retained sensitivity to endocrine therapy, while TFF1low cells displayed reduced drug responsiveness. Genome-wide, differentially enriched H3K27me3 regions correlated with variable expression of estrogen-responsive genes, highlighting a broader regulatory mechanism that links chromatin state to expression variability. Together, our findings establish how repressive chromatin dynamics contribute to gene expression heterogeneity and endocrine resistance inbreast cancer.

Journal Article↗

Patterns of T-cell receptor variable beta gene expression by synovial fluid and peripheral blood T-cells in rheumatoid arthritis.

Conflicting data have been reported regarding the presence or absence of a predominant variable (V) region T-cell receptor (TCR) gene in the peripheral blood or synovial fluid of patients with rheumatoid arthritis (RA). In this study we have used the polymerase chain reaction (PCR) to compare the level of TCR V beta gene expression by peripheral blood mononuclear cells (PBMC) and by synovial fluid cells obtained from HLA DRB1 *0401 and *0404 RA patients. PCR was performed using cDNA synthesized from freshly obtained cells (not stimulated in vitro). The pattern of expression observed for most of the V beta genes studied showed either preferential expression by PBMC or similar levels of expression between PBMC and synovial fluid T-cells. However, among individual patients (N = 5), several V beta genes were identified that were expressed to a significantly greater degree by synovial fluid cells. V beta 14 expression was detected in PBMC of all patients and the level of transcripts encoding V beta 14 increased following stimulation with immobilized anti-CD3 and IL-2. In vitro manipulation of populations of T-cells was found to alter the level of expressed V beta gene products. A V beta gene common to all patients that was consistently deleted from PBMC or expressed to a greater degree by resident, unsorted synovial fluid cells compared to PBMC was not identified.

Adult↗

Factors affecting cellular mosaicism in the expression of a lacZ transgene in two-cell stage mouse embryos.

In the present study, we have analysed the expression pattern of a lacZ transgene (CMZ12) in preimplantation stage mouse embryos. The transgene is expressed at the two-cell stage, where it shows cellular mosaicism due to variable expressivity. The variable gene expression indicates a partial penetrance of the transgene. The extent of variation in expression is influenced by the genetic background of the oocyte. DBA/2 and CFLP genetic backgrounds promote high expression of the transgene, while Balb/c, C57BL/6, DDK, and F1 (C57BL/6 x CBA) genetic backgrounds give none or very little lacZ activity. In vitro culture of one-cell embryos to the two-cell stage induces the expression of lacZ in all strain backgrounds tested. The variation in CMZ12 expression is a transient phenomenon and does not affect later stage activity of the transgene. Nuclear transfer experiments and DNA methylation analysis suggests that a heritable modification of the transgene locus has not occurred.

Animals↗

Gamma delta T lymphocytes in oriental cutaneous leishmaniasis: occurrence and variable delta gene expression.

It has been suggested that T lymphocytes expressing gamma delta T-cell receptors could play an important role in defence against some intracellular infectious pathogens. The present study was undertaken to characterize the occurrence and variable delta gene expression of T lymphocytes expressing the gamma delta T-cell receptor in oriental cutaneous leishmaniasis. Eleven cases of oriental cutaneous leishmaniasis were investigated by immunohistological analysis using an alkaline phosphatase-anti-alkaline phosphatase (APAAP) technique. In three cases, we observed an increased percentage of gamma delta T cells (about 20% of CD3+ cells). In these cases gamma delta T cells generally expressed the V delta 2 segment, and only rarely the V delta 1 gene product. V delta 2+ cells were predominantly localized in the dermis, and were virtually absent in the epidermal compartment. The rare gamma delta T cells observed in the epidermis were almost exclusively V delta 1+. This study demonstrates that an increase of gamma delta T cells may be found in oriental cutaneous leishmaniasis, although it is not a constant feature of the disease. The finding of a preferential expansion of the V delta 2 subset suggests that this subpopulation of gamma delta T cells might be selectively involved in the recognition of Leishmania antigens. The distinct compartmentalization of gamma delta T-cell subpopulations indicates that these subsets may recognize distinct sets of antigens.

Antigens, Protozoan↗

Biased immunoglobulin variable region gene expression by Ly-1 B cells due to clonal selection.

Most, if not all, autoantibodies specific for bromelain-treated mouse erythrocytes recognize the common membrane phospholipid, phosphatidyl choline (PtC). Anti-PtC antibodies are produced by 5%-15% of CD5+ Ly-1 B cells of normal unimmunized mice, but not by detectable numbers of conventional CD5- B cells. At 1 week of age PtC-specific B cells are undetectable but then increase dramatically over the next 3 to 4 weeks to reach adult numbers. We report here that PtC-specific Ly-1 B cells in B10.H-2aH-4bp/Wts mice predominantly express either of two heavy and kappa chain variable (V) region gene combinations. In addition, the sequence and length of DH genes are conserved among cells expressing the same V gene combination, and the V kappa-J kappa junctions of one group involve unusual splice sites. Preferential V gene rearrangement models are insufficient to explain the DH and V kappa-J kappa junctional sequences or the delayed appearance of this specificity, and so they cannot solely account for the high frequency of PtC-specific cells. These characteristics are more consistent with antigen selection. We therefore attribute the frequent use of the two V region gene combinations to selection for cells that express them and conclude that the expressed V gene repertoire of Ly-1 B cells in adult mice is influenced by antigen selection. Apparently, there is no selection for mutant anti-PtC antibodies of higher affinity during the formation of the Ly-1 B repertoire because the V region genes expressed by PtC-specific cells are unmutated. Our findings are consistent with an important, germ line-encoded function for the immunoglobulin products of these gene combinations.

Amino Acid Sequence↗

Developmentally restricted immunoglobulin heavy chain variable region gene expressed at high frequency in chronic lymphocytic leukemia.

During fetal development, murine and human B-lineage cells rearrange and express a highly restricted set of immunoglobulin heavy chain variable region genes (VH genes). We noted that a VH gene of the restricted human fetal repertoire, designated 51p1, potentially could encode the VH region of two human IgM rheumatoid factor proteins. These rheumatoid factors share a cross-reactive idiotype (CRI) defined by reactivity with G6, a murine monoclonal antibody that recognizes an antibody heavy chain determinant present on many human IgM autoantibodies, particularly rheumatoid factors. Recently, we found that the G6 CRI also is expressed frequently by neoplastic CD5 (Leu1) B cells from patients with chronic lymphocytic leukemia (CLL) or small lymphocytic lymphoma. However, neoplastic CD5-negative B cells from patients with lymphomas of follicular center cell origin rarely express this CRI. Here, we report that G6-reactive leukemic cells from two unrelated CLL patients express a VH gene that shares greater than 99% homology with a rearranged VH gene previously isolated from the leukemic cell DNA of another CLL patient and that is identical to VH 51p1. Using the polymerase chain reaction, we find that this VH gene is rearranged, and presumably expressed, in the genomic DNA of all examined cases of G6-reactive CLL or small lymphocytic lymphoma. Thus these data indicate that the autoantibody-associated G6 CRI is a serologic marker for a conserved and developmentally restricted VH1 gene that is expressed at high frequency in CD5 B-cell malignancies and early B-cell ontogeny.

Amino Acid Sequence↗

Symbolic discriminant analysis of microarray data in autoimmune disease.

New laboratory technologies such as DNA microarrays have made it possible to measure the expression levels of thousands of genes simultaneously in a particular cell or tissue. The challenge for genetic epidemiologists will be to develop statistical and computational methods that are able to identify subsets of gene expression variables that classify and predict clinical endpoints. Linear discriminant analysis is a popular multivariate statistical approach for classification of observations into groups. This is because the theory is well described and the method is easy to implement and interpret. However, an important limitation is that linear discriminant functions need to be prespecified. To address this limitation and the limitation of linearity, we have developed symbolic discriminant analysis (SDA) for the automatic selection of gene expression variables and discriminant functions that can take any form. In the present study, we demonstrate that SDA is capable of identifying combinations of gene expression variables that are able to classify and predict autoimmune diseases.

Autoimmune Diseases↗

B-Bolivia, an allele of the maize b1 gene with variable expression, contains a high copy retrotransposon-related sequence immediately upstream.

The maize (Zea mays) b1 gene encodes a transcription factor that regulates the anthocyanin pigment pathway. Of the b1 alleles with distinct tissue-specific expression, B-Peru and B-Bolivia are the only alleles that confer seed pigmentation. B-Bolivia produces variable and weaker seed expression but darker, more regular plant expression relative to B-Peru. Our experiments demonstrated that B-Bolivia is not expressed in the seed when transmitted through the male. When transmitted through the female the proportion of kernels pigmented and the intensity of pigment varied. Molecular characterization of B-Bolivia demonstrated that it shares the first 530 bp of the upstream region with B-Peru, a region sufficient for seed expression. Immediately upstream of 530 bp, B-Bolivia is completely divergent from B-Peru. These sequences share sequence similarity to retrotransposons. Transient expression assays of various promoter constructs identified a 33-bp region in B-Bolivia that can account for the reduced aleurone pigment amounts (40%) observed with B-Bolivia relative to B-Peru. Transgenic plants carrying the B-Bolivia promoter proximal region produced pigmented seeds. Similar to native B-Bolivia, some transgene loci are variably expressed in seeds. In contrast to native B-Bolivia, the transgene loci are expressed in seeds when transmitted through both the male and female. Some transgenic lines produced pigment in vegetative tissues, but the tissue-specificity was different from B-Bolivia, suggesting the introduced sequences do not contain the B-Bolivia plant-specific regulatory sequences. We hypothesize that the chromatin context of the B-Bolivia allele controls its epigenetic seed expression properties, which could be influenced by the adjacent highly repeated retrotransposon sequence.

Alleles↗