Biomedical subjects

Catherine I Dumur

Publications and source records attributed to Catherine I Dumur.

10 recordsLinked to original sources

PubMed2006

Isolation of erythroid cells from the mouse embryonic yolk sac by laser capture microdissection and subsequent microarray hybridization.

Erythropoietic tissues are complex, containing both erythroid and other cells. The embryonic yolk sac in particular contains primitive erythroid cells in low abundance. Laser capture microdissection (LCM) was performed to isolate erythroid cells, and epithelial cells, from mouse embryonic day 10 (E10) yolk sac. Quantitative RT-PCR was performed to confirm that enriched cell populations were obtained. epsilony- and betaH1-globin mRNAs were enriched in the erythroid compared to the epithelial fraction, and villin mRNA was enriched in the epithelial compared to the erythroid fraction. RNA isolated from the microdissected erythroid cells was of high quality as indicated by capillary electrophoresis. The RNA from the LCM erythroid fraction was linearly amplified with T7 RNA polymerase and hybridized to a Mouse 430A 2.0 Affymetrix array. Forty-eight percent of genes were present in the microarray assays, including low abundance transcripts such as erythroid transcription factors and enzymes involved in heme synthesis. With the LCM/microarray strategy, it will be possible to identify genes that are differentially regulated in native primitive and definitive erythroid cells.

Animals↗

PubMed2006

Molecular techniques for identifying HCC origin and biology after orthotopic liver transplantation.

Hepatocellular carcinoma (HCC) is the fifth most common cancer in the world. Liver transplantation represents the potentially curative treatment for small HCC. Recurrence after surgical resection and liver transplantation remains one of the major obstacles in further prolonging survival of patients with HCC. In the new liver, HCC might be of recipient or donor origin. One approach for investigating this question is by performing human identification and/or engraftment analysis. Distinction between recurrent and de novo HCC after orthotopic liver transplantation could allow for the development of important clinical and therapeutic strategies. Polymerase chain reaction amplification of highly polymorphic short tandem repeat DNA sequences, gene expression profiling, and fluorescence in situ hybridization were applied in a patient who developed a second HCC after orthotopic liver transplantation from an opposite gender donor. These techniques provided consistent evidence that the second HCC was a recurrence of the primary tumor.

Amelogenin↗

PubMed2005

Assessing quality of hybridized RNA in Affymetrix GeneChip experiments using mixed-effects models.

The technology for hybridizing archived tissue specimens and the use of laser-capture microdissection for selecting cell populations for RNA extraction have increased over the past few years. Both these methods contribute to RNA degradation. Therefore, quality assessments of RNA hybridized to microarrays are becoming increasingly more important. Existing methods for estimating the quality of RNA hybridized to a GeneChip, from resulting microarray data, suffer from subjectivity and lack of estimates of variability. In this article, a method for assessing RNA quality for a hybridized array which overcomes these drawbacks is proposed. The effectiveness of the proposed method is demonstrated by the application of the method to two microarray data sets for which external verification of RNA quality is known.

Biometry↗

PubMed2005

BCRABL transcript detection by quantitative real-time PCR : are correlated results possible from homebrew assays?

BACKGROUND: Quantitative real-time PCR has become the predominant molecular technique to monitor BCRABL levels in response to treatment in Ph(+) leukemia patients. However, without some form of standardized methodology between laboratories, the correlation of results is difficult. METHODS: Using TaqMan-based assays, parallel quantitative real-time PCR analysis was performed on 70 clinical specimens at Vanderbilt University Medical Center and Virginia Commonwealth University. While the same positive control cell line (K562) and quality control gene (BCR) were used, the RNA isolation technique, cDNA synthesis, BCR control cell line, and PCR primer and probe sequences were different. RESULTS: The detection of BCRABL-positive results spanned a dynamic range from 10(0) to 10(5)/100,000 cells. Forty-three samples were negative at both facilities. A Spearman rank correlation analysis was performed for the 22 BCRABL-positive paired results. The correlation coefficient, r(s), was 0.9435 (p < 0.00001), suggesting a strong correlation of the results. One discordant result was obtained for consecutive samples from one patient with a low BCRABL copy number as a result of a minimal RNA yield at one laboratory. CONCLUSIONS: These results suggest that quantitative real-time PCR assays for BCRABL detection can be comparable between laboratories despite significant differences in methodologies if the same positive control cell line and quality control gene are used. It is imperative that some level of assay standardization be adopted between laboratories, not only for patients who are monitored at different facilities, but also for larger investigative studies in which hematologic, cytogenetic and molecular responses are to be compared.

Adolescent↗

PubMed2004

Evaluation of quality-control criteria for microarray gene expression analysis.

BACKGROUND: Development of quality-control criteria to ensure reproducibility of microarray results for potential clinical application is still in its infancy. METHODS: In the present studies we developed quality-control criteria and evaluated their effect in microarray data analysis using total RNA from cell lines, frozen tumors, and a commercially available reference RNA. Quality-control criteria such as A(260)/A(280) ratios, percentage of rRNA, and median size of cDNA and cRNA synthesis products were evaluated for robustness in microarray analysis. Furthermore, precision studies using a reference material were performed on the Affymetrix HG-U133A high-density oligonucleotide microarrays. The same reference RNA sample was examined in 16 different chips run on 2 different days in the four different modules of the Affymetrix fluidics workstation. Fresh and frozen fragmented cRNAs were also compared. An ANOVA model was fit to identify the main sources of variation. RESULTS: Good-quality samples showed >30% rRNA in the electropherograms and cDNA and cRNA synthesis products with median sizes of 2.0 and 3.0 kb, respectively. Precision studies showed that the main source of variation was the day-to-day variability, minimally affecting hybridization exogenous control genes. Altogether, the results showed that the Affymetrix Genechip system is highly reproducible when RNA that meet the quality-control criteria are used (overall P >0.01). CONCLUSIONS: These results confirm the need to establish defined quality-control criteria for sample quality to distinguish between analytical and biological variability.

Analysis of Variance↗

PubMed2004

Evaluation of a linear amplification method for small samples used on high-density oligonucleotide microarray analysis.

High-density oligonucleotide microarray analysis has proven to be an excellent approach for gene expression profiling in human cancers. This technique assesses the expression of thousands of genes simultaneously, from at least 5 microg of total RNA per sample per experiment. This total RNA requirement poses a challenge when studying small, unique clinical samples, like biopsies. Recently, a new standardized protocol for small samples was released by Affymetrix, which includes a linear amplification step. To evaluate the impact of such amplification in the gene expression profiling of human ovarian cancer, we compared results obtained from 5 microg and 100 ng of total RNA from the same tumor sample, using the standard Affymetrix protocol and the new linear RNA amplification protocol, respectively. We identified a small bias in gene expression data caused by linear amplification, potentially due to shorter elongation products leading to misclassification of probe sets directed to the middle-5' region of the transcripts. Interestingly, the magnitude of the bias varied when different normalization and expression summary algorithms were used. However, this bias does not affect tumor gene expression profiling. Consequently, linear amplification may be of utility in cases of extremely low RNA recovery from critical and unique samples, such as small biopsies.

Cluster Analysis↗

PubMed2004

Graphical technique for identifying a monotonic variance stabilizing transformation for absolute gene intensity signals.

BACKGROUND: The usefulness of log2 transformation for cDNA microarray data has led to its widespread application to Affymetrix data. For Affymetrix data, where absolute intensities are indicative of number of transcripts, there is a systematic relationship between variance and magnitude of measurements. Application of the log2 transformation expands the scale of genes with low intensities while compressing the scale of genes with higher intensities thus reversing the mean by variance relationship. The usefulness of these transformations needs to be examined. RESULTS: Using an Affymetrix GeneChip dataset, problems associated with applying the log2 transformation to absolute intensity data are demonstrated. Use of the spread-versus-level plot to identify an appropriate variance stabilizing transformation is presented. For the data presented, the spread-versus-level plot identified a power transformation that successfully stabilized the variance of probe set summaries. CONCLUSION: The spread-versus-level plot is helpful to identify transformations for variance stabilization. This is robust against outliers and avoids assumption of models and maximizations.

Computational Biology↗

PubMed2004

Hepatocellular carcinoma in HCV-infected patients awaiting liver transplantation: genes involved in tumor progression.

Hepatocellular carcinoma (HCC) is the fifth most common cancer and the third leading cause of cancer death in the world. The present study aimed to investigate the genes involved in viral carcinogenesis and tumor progression in liver transplant recipients with hepatitis C virus (HCV) and HCC. To accomplish this, we performed the analysis of hepatic gene expression in HCV-infected liver recipient patients with stages of disease ranging from early cirrhosis with preserved volume and function to late cirrhosis with diminished volume and function with and without HCC. We found consistent differences between the gene expression patterns in HCV-HCC and those of early HCV-cirrhosis, late HCV cirrhosis, and normal control livers. The expression patterns in HCC were also readily distinguished between early and advanced HCC tumor stages. Moreover, we found different gene expression patterns between early cirrhosis and late cirrhosis. In conclusion, these findings confirm the presence of multiple molecular alterations during HCV-HCC hepatocarcinogenesis and, clinically, indicate the possibility for identifying prognostic factors associated with HCC progression in liver transplant patients waiting for a donor and/or posttransplantation recurrence.

Adult↗

PubMed2003

Genome-wide detection of LOH in prostate cancer using human SNP microarray technology.

Loss of heterozygosity (LOH) of chromosomal regions is crucial in tumor progression. In this study we assessed the potential of the Affymetrix GeneChip HuSNP mapping assay for detecting genome-wide LOH in prostate tumors. We analyzed two human prostate cell lines, P69SV40Tag (P69) and its tumorigenic subline, M12, and 11 prostate cancer cases. The M12 cells showed LOH in chromosomes 3p12.1-p22.1, 11q22.1-q24.2, 19p13.12, and 19q13.42. All of the prostate cases with informative single-nucleotide polymorphism (SNP) markers showed LOH in 1p31.2, 10q11.21, 12p13.1, 16q23.1-q23.2, 17p13.3, 17q21.31, and 21q21.2. Additionally, a high percentage of cases showed LOH at 6p25.1-p25.3 (75%), 8p22-p23.2, and 10q22.1 (70%). Several tumor suppressor genes (TSGs) have been mapped in these loci. These results demonstrate that the HuSNP mapping assay can serve as an alternative to comparative genomic hybridization for assessing genome-wide LOH and can identify chromosomal regions harboring candidate TSGs implicated in prostate cancer.

Adult↗

PubMed2002

Analytical validation of a real-time reverse transcription-polymerase chain reaction quantitation of different transcripts of the Wilms' tumor suppressor gene (WT1).

Transcript variants of the same gene may play distinct functions in the tissue where they are expressed. Absolute quantitation of different transcript variants in malignant and normal tissues can address the specific role of each particular isoform in cancer development and progression. We have recently demonstrated differential expression of the wild-type Wilms' tumor transcript (wtWT1) and a novel truncated WT1 transcript (trWT1) which lacks the first five exons of wtWT1, among human prostate cancer, leukemia, and breast cancer cell lines. Here we report the analytical validation of a real-time RT-PCR assay for the absolute quantitation of these two different WT1 transcripts with specific primers and probes that ensure specificity for each WT1 variant. By cloning each WT1 transcript in a T3 promoter-containing plasmid, we obtained two WT1 transcript-specific in vitro-generated RNA calibrators for absolute quantitation. Serial dilution of each RNA calibrator demonstrated a 5 log linear dynamic range (5 x 10(1) to 5 x 10(6) copies/reaction, R(2)=0.9963 for wtWT1 and R(2)=0.9993 for trWT1). Dilution of the calibrators in total RNA from 1 x 10(3) non-WT1-expressing cells showed a decreased sensitivity without affecting the linear dynamic range. Precision studies for values within the linear dynamic range showed a coefficient of variation of less than 4% for both transcripts. The described method provides a sensitive and reliable technique for quantitating different WT1 mRNA transcripts.

Calibration↗