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Clonal evolution of a follicular lymphoma: evidence for antigen selection.

The potential role antigens play in growth stimulation or in clonal selection of follicular lymphomas is unknown. To study this issue, we sequenced the immunoglobulin heavy chain variable region genes expressed by a follicular lymphoma from multiple biopsy specimens and also cloned and sequenced the corresponding germ-line variable gene from this patient. Comparison to the germ-line gene revealed numerous nucleotide substitutions in all of the lymphoma variable gene sequences. Some of the substitutions may have occurred in the nonmalignant precursor B cell that gave rise to this lymphoma because they were shared among all of the variable genes, but many of the mutations accumulated as the malignant clone expanded. The mutations were distributed in such a way that strongly suggested the majority of tumor cells had been positively selected through their antigen receptor. This was especially evident for the mutations that developed late in the clonal evolution of this lymphoma. These findings indicate that antigen stimulation may be involved in the growth of follicular lymphoma tumors.

Antigens, Neoplasm↗

Logic backbone of a transcription network.

A great part of the effort in the study of coarse-grained models of transcription networks concentrates on their dynamical features. In this Letter, we consider their equilibrium properties, showing that the backbone underlying the dynamic descriptions is an optimization problem. It involves N variables, the gene expression levels, and M constraints, the effects of transcriptional regulation. In the case of Boolean variables and constraints, we investigate the structure of the solutions and derive phase diagrams. Notably, the model exhibits a connectivity transition between a regime of simple gene control, where the input genes control O(1) other genes, and a regime of complex control, where some core input genes control O(N) others.

Algorithms↗

Analysis of the interaction of extracellular matrix and phenotype of bladder cancer cells.

BACKGROUND: The extracellular matrix has a major effect upon the malignant properties of bladder cancer cells both in vitro in 3-dimensional culture and in vivo. Comparing gene expression of several bladder cancer cells lines grown under permissive and suppressive conditions in 3-dimensional growth on cancer-derived and normal-derived basement membrane gels respectively and on plastic in conventional tissue culture provides a model system for investigating the interaction of malignancy and extracellular matrix. Understanding how the extracellular matrix affects the phenotype of bladder cancer cells may provide important clues to identify new markers or targets for therapy. METHODS: Five bladder cancer cell lines and one immortalized, but non-tumorigenic, urothelial line were grown on Matrigel, a cancer-derived ECM, on SISgel, a normal-derived ECM, and on plastic, where the only ECM is derived from the cells themselves. The transcriptomes were analyzed on an array of 1186 well-annotated cancer derived cDNAs containing most of the major pathways for malignancy. Hypervariable genes expressing more variability across cell lines than a set expressing technical variability were analyzed further. Expression values were clustered, and to identify genes most likely to represent biological factors, statistically over-represented ontologies and transcriptional regulatory elements were identified. RESULTS: Approximately 400 of the 1186 total genes were expressed 2 SD above background. Approximately 100 genes were hypervariable in cells grown on each ECM, but the pattern was different in each case. A core of 20 were identified as hypervariable under all 3 growth conditions, and 33 were hypervariable on both SISgel and Matrigel, but not on plastic. Clustering of the hypervariable genes showed very different patterns for the same 6 cell types on the different ECM. Even when loss of cell cycle regulation was identified, different genes were involved, depending on the ECM. Under the most permissive conditions of growth where the malignant phenotype was fully expressed, activation of AKT was noted. TGFbeta1 signaling played a major role in the response of bladder cancer cells to ECM. Identification of TREs on genes that clustered together suggested some clustering was driven by specific transcription factors. CONCLUSION: The extracellular matrix on which cancer cells are grown has a major effect on gene expression. A core of 20 malignancy-related genes were not affected by matrix, and 33 were differentially expressed on 3-dimensional culture as opposed to plastic. Other than these genes, the patterns of expression were very different in cells grown on SISgel than on Matrigel or even plastic, supporting the hypothesis that growth of bladder cancer cells on normal matrix suppresses some malignant functions. Unique underlying regulatory networks were driving gene expression and could be identified by the approach outlined here.

Cell Line, Tumor↗

Differentiated gene expression in cells within yeast colonies.

Yeast cells growing on solid media organize themselves into multicellular structures, colonies, exhibiting patterns specific for particular yeast strains. With the aim of identifying genes involved in regulations of the colony formation, we applied a new approach enabling the extensive screening of Saccharomyces cerevisiae genes, the expression of which is changed during colony development. We used the library of S. cerevisiae DNA fragments inserted in front of the lacZ gene lacking its own promoter. Colonies of transformants with a blue/white patterned morphotype, implying that the expression of the lacZ gene from the inserted yeast promoter is switched on and off during the colony formation, were isolated. We identified several genes with variable expression during colony morphogenesis, including CCR4, PAM1, MEP3, ADE5,7 and CAT2. S. cerevisiae strain deleted in the CCR4 gene forms colonies with less organized morphology when compared with the isogenic parental strain. The synchronization of the expression patterns of some of the isolated genes in neighboring colonies was observed.

Carboxy-Lyases↗

Expression of an idiotype (Id-460) during in vivo anti-dinitrophenyl antibody responses. I. Mapping of genes for Id-460 expression to the variable region of immunoglobulin heavy-chain locus and to the variable region of immunoglobulin kappa-light-chain locus.

The genetic contro of the expression of an idiotype (Id-460) associated with the 2,4-dinitrophenyl (DNP)-binding BALB/c myeloma protein MOPC 460 was studied using congenic strains of mice. It was shown that the expression of high levels of Id-460 during secondary in vivo anti-DNP-ovalbumin responses was determined by genes governing immunoglobulin heavy-chain variable and kappa-light chain variable regions (V kappa). Appropriate alleles at both loci were required for the expression of Id-460. Genes in the major histocompatability complex and the X-linked immune deficiency gene found in strain CBA/N did not greatly affect Id-460 expression. The V kappa gene controlling Id-460 expression can be differentiated from Lyt-3, and it is the first instance in which expression of an idiotype subdivides the V kappa genes associated with the Lyt-3a allele. Although it is likely that the V kappa gene(s) involved are structural, the involvememt of a regulatory gene linked to the structural gene can not be excluded.

Animals↗

Brain pH has a significant impact on human postmortem hippocampal gene expression profiles.

Studies of neurobiological disorders in the brain, including schizophrenia, rely on the use of postmortem brain tissues, in which an understanding of the effects of various pre- and postmortem variables on gene expression is critical. In several different brain regions, pH has been shown to have a large effect on postmortem brain gene expression patterns. One region that has not yet been evaluated in such studies is the hippocampus, a region often implicated in schizophrenia research. In the present study, we show that postmortem brain pH is similar across different brain regions. Brain pH accounted for greater variation in hippocampal gene expression profiles than any other parameter evaluated, including gender and schizophrenia. The predictive value of brain pH in an independent sample set was also greater than the disease, demonstrating that pH represents one of the most important control parameters in human postmortem gene expression studies in schizophrenia.

Adult↗

Mitochondrial gene expression in Cucurbitaceae: conserved and variable features.

We have examined mitochondrial DNA (mtDNA) sequence conservation, transcriptional patterns of mitochondrial genes, and mitochondrial translation products in four species of the plant family Cucurbitaceae, in which there is a seven-fold range in mitochondrial genome size. A set of conserved mtDNA sequences which we term "core" DNA is present in all cucurbit genomes examined. In watermelon, only those mtDNA restriction fragments which contain "core" DNA hybridize with mtRNA. Similar numbers of polypeptides are synthesized by isolated mitochondria from all species examined, but an extra set of mtDNA sequences is transcribed in the largest genome (muskmelon). Taken together, these results suggest that some mtRNA is untranslated in muskmelon. Cloned mitochondrial genes of known function, from maize, identified mitochondrial transcripts that varied in both size and number among cucurbit species.

Base Sequence↗

Background gene expression in rat kidney: influence of strain, gender, and diet.

In order to gain better insight into factors (strain, gender, and diet) influencing background variability in kidney gene expression, we examined the transcriptomes of male and female Crl:CD(SD)IGSBR (Sprague-Dawley [SD]) and CDF(Fischer 344)/CrlBR rats maintained for 19 days on three different diets (ad libitum [AL], diet restriction-75% of AL, and casein-based phytoestrogen-free diet). Kidney RNA was analyzed using Agilent Rat oligo microarrays (approximately 20,000 genes). Principal component analysis demonstrated that strain and gender have the most impact on the variability in gene expression, while diet had a lesser effect. The majority of the affected genes differed by a magnitude of four-fold or less between strains/gender, with some previously known to be sex-hormone regulated (SLC22A7 and SLC21A1). One gene of particular interest was ornithine decarboxylase, a significant marker of cell proliferation and tumor promotion, which was expressed at an 18-fold greater level in SD rats. Further analysis revealed that the difference in expression was due to the use of an alternate polyadenylation signal resulting in the production of two different sizes of transcripts. These results demonstrate that gender and strain have significant influence on gene expression which could be a confounder when comparing results, especially when it involves predictive fingerprint/patterns.

Animals↗

Gene expression analysis of chromosomal regions with gain or loss of genetic material detected by comparative genomic hybridization.

Comparative genomic hybridization (CGH) has been widely used to detect copy number alterations in cancer and to identify regions containing candidate tumor-responsible genes; however, gene expression changes have been described only in highly amplified regions (amplicons). To study the overall impact of slight copy number changes on gene expression, we analyzed 16 T-cell lymphomas by using CGH and a custom-designed cDNA microarray containing 7,657 genes and expressed sequence tags related to tumorigenesis. We evaluated mean gene expression and variability within CGH-altered regions and explored the relationship between the effects of the gene and its position within these regions. Minimally overlapping CGH candidate areas (6q25, 13q21-q22, and 19q13.1) revealed a weak relationship between altered genomic content and gene expression. However, some candidate genes showed modified expression within these regions in the majority of tumors; these candidate genes were evaluated and confirmed in another independent series of 23 T-cell lymphomas by use of the same cDNA microarray and by FISH on a tissue microarray. When all the CGH regions detected for each tumor were considered, we found a significant increase or decrease in the mean expression of the genes contained in gained or lost regions, respectively. In addition, we found that the expression of a gene was dependent not only on its position within an altered region but also on its own mechanism of regulation: genes in the same altered region responded very differently to the gain or loss of genetic material. Supplementary material for this article can be found on the Genes, Chromosomes, and Cancer website at http://www.interscience.wiley.com/jpages/1045-2257/suppmat/index.html.

Chromosomes, Human, Pair 13↗

Differential regulation between gene expression and histone H3 acetylation in the variable regions of the TCRbeta locus.

Histone acetylation is suggested to regulate gene expression in the TCR loci. Using R2CD3 mouse model, we previously showed that germline transcription of the TCRbeta chain gene is discrete between 5' Vbeta regions and Dbeta-Jbeta-Cbeta clusters plus Vbeta14 region. In this study, we investigated a role of histone H3 acetylation in transcriptional regulation of the TCRbeta locus. Our results showed that DN-DP transition is accompanied by significant promotion of histone H3 acetylation in both Dbeta-Jbeta-Cbeta cluster and Vbeta14 region, correlating with up-regulation of germline transcription. Surprisingly, termination of germline transcription of the 5' Vbeta regions was inversely correlated with histone H3 hyperacetylation. Moreover, histone H3 acetylation showed equivalent level in both functionally rearranged Vbeta region with active transcription and unrearranged Vbeta region without transcription in mature T cells. These results suggest that histone acetylation is not a sole limiting factor in both terminating germline Vbeta transcription during DN-DP transition and maintaining functionally rearranged Vbeta gene expression.

Acetylation↗

Variable region gene analysis of pathologic human autoantibodies to the related i and I red blood cell antigens.

To investigate the molecular basis of the autoimmune response to the related i and I carbohydrate antigens, we studied cold agglutinins (CA) from B-cell clones and from the peripheral circulation of patients with lymphoproliferative syndromes. Sequence analyses of expressed variable region genes indicate that both anti-i and anti-I specificities from B-cell clones from two patients are encoded by the VH4.21 or a very closely related VH4 heavy chain gene, whereas the expressed light chain genes differed. The anti-i-secreting B-cells express unmutated germline-encoded VH4.21 and VKI gene sequences. The VH region gene encoding anti-I has the closest homology (97%) to the VH4.21 germline gene and differs at the protein level by only three amino acids. In contrast, while the VL region gene encoding anti-I is most homologous (96%) to the VKIII, kv328 germline gene, there are seven amino acid differences due to nonrandom replacement mutations, which suggests a role for antigen-mediated selection in the anti-I response of this individual. These studies were extended by a structural survey of 20 additional serum CA using antipeptide antibodies specific for determinants in VH and VL regions. All anti-I and anti-i CA were shown to express VH4 heavy chains, and 14 of 17 CA expressed a previously described VH4 second hypervariable region determinant, termed VH4-HV2a. We also found that 13 of 14 anti-I CA used VKIII light chains, while the anti-i CA used light chains from at least three VL families. Taken together, the data show that anti-i and anti-I CA probably both derive from the VH4.21 gene (or a closely related gene). Furthermore, the restricted VH and different VL gene use in anti-i and anti-I CA may reflect the close structural relationship of the i and I antigens.

Autoantibodies↗

[Clinical pharmacology of the new antiarrhythmia agents].

Antiarrhythmic drugs (ADs) are the mainstay in the treatment of cardiac arrhythmias. Arrhythmias merit treatment for the relief of symptoms and for the prolongation of survival for decreasing arrhythmic deaths. Since class I ADs can increase arrhythmia mortality in patients with coronary artery disease the interest has shifted to class III ADs, particularly those with greater effect at fast heart rates or with greater selectivity for atrial tissue. The recognition that some cardiac arrhythmias can be attributed to variable expression of specific genes or variability in the function of their protein products offers new perspectives for developing new ADs Moreover, the finding that heart disease alters electrophysiological properties of cardiac tissue suggests that we must target the arrhythmogenic substrate rather than its final electrical product. Advances in molecular genetics and electrophysiology will provide an opportunity to identify new targets and to design new ADs that are more effective and with lower risk of complications than those presently prescribed.

Anti-Arrhythmia Agents↗

Expression of surrogate light chain in common variable immunodeficiency.

VpreB and lambda-like genes encode proteins that can associate to form a light-chain-like structure, the surrogate light chain (SLC). VpreB and lambda-like genes are selectively expressed in human progenitor B and precursor B (pre-B) cells. We analyzed the expression of VpreB and lambda-like genes in seven patients with common variable immunodeficiency (CVI). Gene expression was examined in the peripheral blood mononuclear cells (PBMCs) using the polymerase chain reaction. In four CVI patients, two of whom were brothers, the expression of the VpreB gene was detectable in the PBMCs. In the brothers with CVI, the expression of the VpreB gene was also examined in bone marrow cells, where it was found to be expressed in trace amounts. A number of the brothers' bone marrow cells were stained with mu and kappa antibodies using the avidin-biotin complex method. In lambda 5-gene-deleted mice, B cell development in the bone marrow is blocked at the pre-B stage, but the blockade is leaky. We suggest that expression of the SLC is weak in patients with CVI compared with their normal counterparts, and this may be one of the underlying mechanisms of CVI.

Adult↗

A comparison of cDNA, oligonucleotide, and Affymetrix GeneChip gene expression microarray platforms.

We have conducted a study to compare the variability in measured gene expression levels associated with three types of microarray platforms. Total RNA samples were obtained from liver tissue of four male mice, two each from inbred strains A/J and C57BL/6J. The same four samples were assayed on Affymetrix Mouse Genome Expression Set 430 GeneChips (MOE430A and MOE430B), spotted cDNA microarrays, and spotted oligonucleotide microarrays using eight arrays of each type. Variances associated with measurement error were observed to be comparable across all microarray platforms. The MOE430A GeneChips and cDNA arrays had higher precision across technical replicates than the MOE430B GeneChips and oligonucleotide arrays. The Affymetrix platform showed the greatest range in the magnitude of expression levels followed by the oligonucleotide arrays. We observed good concordance in both estimated expression level and statistical significance of common genes between the Affymetrix MOE430A GeneChip and the oligonucleotide arrays. Despite their apparently high precision, cDNA arrays showed poor concordance with other platforms.

Analysis of Variance↗

Gene expression in gastrointestinal stromal tumors is distinguished by KIT genotype and anatomic site.

PURPOSE: Gastrointestinal stromal tumors (GISTs) are specific KIT expressing and KIT-signaling driven mesenchymal tumors of the human digestive tract, many of which have KIT-activating mutations. Previous studies have found a relatively homogeneous gene expression profile in GIST, as compared with other histological types of sarcomas. Transcriptional heterogeneity within clinically or molecularly defined subsets of GISTs has not been previously reported. We tested the hypothesis that the gene expression profile in GISTs might be related to KIT genotype and possibly to other clinicopathological factors. EXPERIMENTAL DESIGN: An HG-U133A Affymetrix chip (22,000 genes) platform was used to determine the variability of gene expression in 28 KIT-expressing GIST samples from 24 patients. A control group of six intra-abdominal leiomyosarcomas was also included for comparison. Statistical analyses (t tests) were performed to identify discriminatory gene lists among various GIST subgroups. The levels of expression of various GIST subsets were also linked to a modified version of the growth factor/KIT signaling pathway to analyze differences at various steps in signal transduction. RESULTS: Genes involved in KIT signaling were differentially expressed among wild-type and mutant GISTs. High gene expression of potential drug targets, such as VEGF, MCSF, and BCL2 in the wild-type group, and Mesothelin in exon 9 GISTs were found. There was a striking difference in gene expression between stomach and small bowel GISTs. This finding was validated in four separate tumors, two gastric and two intestinal, from a patient with familial GIST with a germ-line KIT W557R substitution. CONCLUSIONS: GISTs have heterogeneous gene expression depending on KIT genotype and tumor location, which is seen at both the genomic level and the KIT signaling pathway in particular. These findings may explain their variable clinical behavior and response to therapy.

Cell Line, Tumor↗

[Role of genetic processes in modification variability. Prophecy of B.L. Astaurov].

In his pioneering work on mutation tetraptera in Drosophila melanogaster, B.L. Astaurov discovered spontaneous modifications based on variability in gene expression. This new approach to the phenomenon of modifications should be considered as the first stimulus to development of the general theory of variability. Contemporary classification of variability based predominantly on phenomenology encounters many contradictions. The same specific molecular mechanisms may be responsible, for example, for both hereditary and nonhereditary variability depending on the taxonomic status. Some mechanisms responsible for both mutations and modifications or for mutations, recombination, and ontogenetic variability have been considered from this viewpoint. It may well be more productive to consider different types of variability with respect to the main genetic processes: replication and expression of genetic material.

Animals↗

Selection of appropriate control genes to assess expression of tumor antigens using real-time RT-PCR.

Real-time reverse transcription PCR (RT-PCR) is a sensitive and accurate method to monitor gene expression and is often used to profile the expression of putative tumor antigens in the context of immunotherapy. However, this technique consists of several steps, including cell processing, RNA extraction, RNA storage, assessment of RNA concentration, and cDNA synthesis prior to PCR. To compensate for potential variability introduced in this procedure, the expression of housekeeping genes is commonly assessed in parallel with the expression of the gene of interest. In this study, the expression of a variety of housekeeping genes in a panel of 26 different human tumor and embryonal cell lines was assessed using real-time RT-PCR. For some control genes, the variability in expression was significant between different cell lines, despite the equalization of quantities of input RNA. The greatest variability was found for GAPDH. The lowest variability was found for beta-glucuronidase (GUS) and 18S rRNA. While real-time RT-PCR is a powerful tool for gene expression analysis, these results suggest that the choice of control genes to normalize the expression of the gene of interest is critical to the interpretation of experimental results and should be tailored to the nature of the study.

Animals↗

The Global Error Assessment (GEA) model for the selection of differentially expressed genes in microarray data.

MOTIVATION: Microarray technology has become a powerful research tool in many fields of study; however, the cost of microarrays often results in the use of a low number of replicates (k). Under circumstances where k is low, it becomes difficult to perform standard statistical tests to extract the most biologically significant experimental results. Other more advanced statistical tests have been developed; however, their use and interpretation often remain difficult to implement in routine biological research. The present work outlines a method that achieves sufficient statistical power for selecting differentially expressed genes under conditions of low k, while remaining as an intuitive and computationally efficient procedure. RESULTS: The present study describes a Global Error Assessment (GEA) methodology to select differentially expressed genes in microarray datasets, and was developed using an in vitro experiment that compared control and interferon-gamma treated skin cells. In this experiment, up to nine replicates were used to confidently estimate error, thereby enabling methods of different statistical power to be compared. Gene expression results of a similar absolute expression are binned, so as to enable a highly accurate local estimate of the mean squared error within conditions. The model then relates variability of gene expression in each bin to absolute expression levels and uses this in a test derived from the classical ANOVA. The GEA selection method is compared with both the classical and permutational ANOVA tests, and demonstrates an increased stability, robustness and confidence in gene selection. A subset of the selected genes were validated by real-time reverse transcription-polymerase chain reaction (RT-PCR). All these results suggest that GEA methodology is (i) suitable for selection of differentially expressed genes in microarray data, (ii) intuitive and computationally efficient and (iii) especially advantageous under conditions of low k. AVAILABILITY: The GEA code for R software is freely available upon request to authors.

Algorithms↗