Biomedical subjects

Xiangqin Cui

Publications and source records attributed to Xiangqin Cui.

11 recordsLinked to original sources

PubMed2006

Inheritance patterns of transcript levels in F1 hybrid mice.

Genetic analysis of transcriptional regulation is a rapidly emerging field of investigation that promises to shed light on the regulatory networks that control gene expression. Although a number of such studies have been carried out, the nature and extent of the heritability of gene expression traits have not been well established. We describe the inheritance of transcript levels in liver tissue in the first filial (F1) generation of mice obtained from reciprocal crosses between the common inbred strains A/J and C57BL/6J. We obtain estimates of genetic and technical variance components from these data and demonstrate that shrinkage estimators can increase detectable heritability. Estimates of heritability vary widely from transcript to transcript, with one-third of transcripts showing essentially no heritability (<0.01) and one-quarter showing very high heritability (>0.50). Roughly half of all transcripts are differentially expressed between the two parental strains. Most transcripts show an additive pattern of inheritance. Dominance effects were observed for 20% of transcripts and a small number of transcripts were identified as showing an overdominance mode of inheritance. In addition, we identified 314 transcripts with expression levels that differ between the reciprocal F1 animals. These genes may be related to maternal effect.

Animals↗

PubMed2006

Analysis of the wheat endosperm transcriptome.

Among the cereals, wheat is the most widely grown geographically and is part of the staple diet in much of the world. Understanding how the cereal endosperm develops and functions will help generate better tools to manipulate grain qualities important to end-users. We used a genomics approach to identify and characterize genes that are expressed in the wheat endosperm. We analyzed the 17,949 publicly available wheat endosperm EST sequences to identify genes involved in the biological processes that occur within this tissue. Clustering and assembly of the ESTs resulted in the identification of 6,187 tentative unique genes, 2,358 of which formed contigs and 3,829 remained as singletons. A BLAST similarity search against the NCBI non-redundant sequence database revealed abundant messages for storage proteins, putative defense proteins, and proteins involved in starch and sucrose metabolism. The level of abundance of the putatively identified genes reflects the physiology of the developing endosperm. Half of the identified genes have unknown functions. Approximately 61% of the endosperm ESTs has been tentatively mapped in the hexaploid wheat genome. Using microarrays for global RNA profiling, we identified endosperm genes that are specifically up regulated in the developing grain.

Expressed Sequence Tags↗

PubMed2006

Microarray data analysis: from disarray to consolidation and consensus.

In just a few years, microarrays have gone from obscurity to being almost ubiquitous in biological research. At the same time, the statistical methodology for microarray analysis has progressed from simple visual assessments of results to a weekly deluge of papers that describe purportedly novel algorithms for analysing changes in gene expression. Although the many procedures that are available might be bewildering to biologists who wish to apply them, statistical geneticists are recognizing commonalities among the different methods. Many are special cases of more general models, and points of consensus are emerging about the general approaches that warrant use and elaboration.

Algorithms↗

PubMed2005

Kinesin family member 12 is a candidate polycystic kidney disease modifier in the cpk mouse.

The cpk mouse is the most extensively characterized model of autosomal recessive polycystic kidney disease (ARPKD). The major ARPKD-related renal and biliary phenotypes are modulated in F2 mutants by genetic background, suggesting that quantitative trait loci (QTL) modulate disease severity. In 461 F2 cpk mice, kidney length, weight, and volume were scored as quantitative traits (QT), and a semiquantitative method to assess biliary duct number, area (BDA), portal vein area, and total area of each portal field, as well as the severity of cholangitis, was developed. QTL mapping was performed with Pseudomarker v1.02. Candidate genes were identified within the QTL intervals on the basis of expression profiling, reverse transcriptase-PCR, haplotypes, and sequence analysis. The renal QT were normally distributed in the F2 cohort and strongly correlated (P < 0.001). Among the biliary QT, only BDA correlated with the renal QT (P < 0.01). Genome-wide scan identified a major effect QTL on chromosome (Chr) 4 for the renal traits, adjusted BDA, and cholangitis with logarithm of odds scores of 18, 8, and 5, respectively. Regression modeling refined the Chr 4 main effect into an approximately 50-cM region with three distinct QTL peaks at 16, 34, and 54 cM. Kif12, a gene encoding a novel kinesin, mapped beneath the 34 cM QTL peak and has expression level variants and strain-specific sequences that were associated with renal disease severity in affected mice. Therefore, the positional candidate gene, Kif12, fulfills the major criteria for QTL gene discovery established by the Complex Trait Consortium, and, thus, it is proposed that Kif12 is a cpk modifier gene.

Animals↗

PubMed2005

Evaluation of five ab initio gene prediction programs for the discovery of maize genes.

Five ab initio programs (FGENESH, GeneMark.hmm, GENSCAN, GlimmerR and Grail) were evaluated for their accuracy in predicting maize genes. Two of these programs, GeneMark.hmm and GENSCAN had been trained for maize; FGENESH had been trained for monocots (including maize), and the others had been trained for rice or Arabidopsis. Initial evaluations were conducted using eight maize genes (gl8a, pdc2, pdc3, rf2c, rf2d, rf2e1, rth1, and rth3) of which the sequences were not released to the public prior to conducting this evaluation. The significant advantage of this data set for this evaluation is that these genes could not have been included in the training sets of the prediction programs. FGENESH yielded the most accurate and GeneMark.hmm the second most accurate predictions. The five programs were used in conjunction with RT-PCR to identify and establish the structures of two new genes in the a1-sh2 interval of the maize genome. FGENESH, GeneMark.hmm and GENSCAN were tested on a larger data set consisting of maize assembled genomic islands (MAGIs) that had been aligned to ESTs. FGENESH, GeneMark.hmm and GENSCAN correctly predicted gene models in 773, 625, and 371 MAGIs, respectively, out of the 1353 MAGIs that comprise data set 2.

Alternative Splicing↗

PubMed2005

Improved statistical tests for differential gene expression by shrinking variance components estimates.

Combining information across genes in the statistical analysis of microarray data is desirable because of the relatively small number of data points obtained for each individual gene. Here we develop an estimator of the error variance that can borrow information across genes using the James-Stein shrinkage concept. A new test statistic (FS) is constructed using this estimator. The new statistic is compared with other statistics used to test for differential expression: the gene-specific F test (F1), the pooled-variance F statistic (F3), a hybrid statistic (F2) that uses the average of the individual and pooled variances, the regularized t-statistic, the posterior odds statistic B, and the SAM t-test. The FS-test shows best or nearly best power for detecting differentially expressed genes over a wide range of simulated data in which the variance components associated with individual genes are either homogeneous or heterogeneous. Thus FS provides a powerful and robust approach to test differential expression of genes that utilizes information not available in individual gene testing approaches and does not suffer from biases of the pooled variance approach.

Animals↗

PubMed2003

Transformations for cDNA microarray data.

Two channel microarray data often contain systematic variations that can be minimized by data transformation prior to further analysis. The most commonly observed effects are revealed by viewing scatter plots of the logarithm of the ratio by the average logarithmic intensity of the two color channels (RI plots). In this paper we present a general model for signal intensity data with multiple error sources. We demonstrate how these sources of error influence the shape of an RI plot. We then compare some currently available transformation strategies in terms of their mechanism and performance on both simulated and real microarray data. A linlog transformation is proposed to stabilize the variance of the log ratios. We also propose a regional smoothing method to remove variation in log ratios due to spatial heterogeneity on the microarray surface. The discussed transformations represent an important initial step in microarray data analysis for both ratio-based and ANOVA methods.

Journal Article↗

PubMed2003

Statistical tests for differential expression in cDNA microarray experiments.

Extracting biological information from microarray data requires appropriate statistical methods. The simplest statistical method for detecting differential expression is the t test, which can be used to compare two conditions when there is replication of samples. With more than two conditions, analysis of variance (ANOVA) can be used, and the mixed ANOVA model is a general and powerful approach for microarray experiments with multiple factors and/or several sources of variation.

Analysis of Variance↗

PubMed2003

Alternative transcription initiation sites and polyadenylation sites are recruited during Mu suppression at the rf2a locus of maize.

Even in the absence of excisional loss of the associated Mu transposons, some Mu-induced mutant alleles of maize can lose their capacity to condition a mutant phenotype. Three of five Mu-derived rf2a alleles are susceptible to such Mu suppression. The suppressible rf2a-m9437 allele has a novel Mu transposon insertion (Mu10) in its 5' untranslated region (UTR). The suppressible rf2a-m9390 allele has a Mu1 insertion in its 5' UTR. During suppression, alternative transcription initiation sites flanking the Mu1 transposon yield functional transcripts. The suppressible rf2a-m8110 allele has an rcy/Mu7 insertion in its 3' UTR. Suppression of this allele occurs via a previously unreported mechanism; sequences in the terminal inverted repeats of rcy/Mu7 function as alternative polyadenylation sites such that the suppressed rf2a-m8110 allele yields functional rf2a transcripts. No significant differences were observed in the nucleotide compositions of these alternative polyadenylation sites as compared with 94 other polyadenylation sites from maize genes.

Base Sequence↗

PubMedDate not supplied

Characterization of the aldehyde dehydrogenase gene families of Zea mays and Arabidopsis.

Cytoplasmic male sterility is a maternally transmitted inability to produce viable pollen. Male sterility occurs in Texas (T) cytoplasm maize as a consequence of the premature degeneration of the tapetal cell layer during microspore development. This sterility can be overcome by the combined action of two nuclear restorer genes, rf1 and rf2a. The rf2a gene encodes a mitochondrial aldehyde dehydrogenase (ALDH) that is capable of oxidizing a variety of aldehydes. Six additional ALDH genes were cloned from maize and Arabidopsis. In vivo complementation assays and in vitro enzyme analyses demonstrated that all six genes encode functional ALDHs. Some of these ALDHs are predicted to accumulate in the mitochondria, others in the cytosol. The intron/exon boundaries of these genes are highly conserved across maize and Arabidopsis and between mitochondrial and cytosolic ALDHs. Although animal, fungal, and plant genomes each encode both mitochondrial and cytosolic ALDHs, it appears that either the gene duplications that generated the mitochondrial and the cytosolic ALDHs occurred independently within each lineage or that homogenizing gene conversion-like events have occurred independently within each lineage. All studied plant genomes contain two confirmed or predicted mitochondrial ALDHs. It appears that these mitochondrial ALDH genes arose via independent duplications after the divergence of monocots and dicots or that independent gene conversion-like events have homogenized the mitochondrial ALDH genes in the monocot and dicot lineages. A computation approach was used to identify amino acid residues likely to be responsible for functional differences between mitochondrial and cytosolic ALDHs.

Aldehyde Dehydrogenase↗

PubMedDate not supplied

Exploration of low-dose estrogen effects: identification of No Observed Transcriptional Effect Level (NOTEL).

Identifying a minimal dose capable of eliciting a biological response is a fundamental issue in a number of scientific fields, including: drug development, signal transduction research, and environmental toxicology. Frequently, proliferation, viability, and other assays based on the cellular response to a treatment are used to assess the threshold dose for minimal activity. Here we propose a novel approach for identifying the effects of low dose treatments and pinpointing the threshold dose. Using microarrays, we examined the transcriptional response of a hormone responsive breast cancer cell line (MCF-7) stimulated with various concentrations of estrogen. Previous studies have focused on transcriptional responses to physiologically relevant concentrations of estrogen. However, relatively few studies have examined the transcriptional effects of concentrations below normal physiologic levels. These doses may not stimulate the expression of any genes or, alternatively, may regulate a different subset of genes that had not been previously characterized as estrogen responsive. We used gene expression profiling, coupled with a detailed analysis of replicates, to measure estrogen effects on many transcriptional targets and found that only physiologically relevant doses of estrogen (1 x 10(-10) M and higher) were capable of inducing a transcriptional response. This study demonstrates the utility of gene expression profiling as a means to identify concentrations that do not elicit a change in gene expression, or simply a No Observed Transcriptional Effect Level (NOTEL). The identification of a NOTEL for a given compound may be beneficial in several different scientific disciplines. For example, in the development of therapeutic drugs, a NOTEL could be used to identify doses of pharmaceutical compounds that are no longer effective at modulating the expression of biomarkers of efficacy.

Analysis of Variance↗