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Mangalathu S Rajeevan

Publications and source records attributed to Mangalathu S Rajeevan.

12 recordsLinked to original sources
PubMed2006

Quantitation of site-specific HPV 16 DNA methylation by pyrosequencing.

Human papillomavirus (HPV) is a necessary but insufficient cause of cervical cancer. Factors influencing transcription, such as epigenetic silencing through viral DNA methylation, may impact neoplastic progression. Pyrosequencing technology was applied to quantify methylation at 19 cytosine guanine dinucleotide (CpG) sites in the L1 3' and long control region (LCR) of HPV 16 DNA using cell lines, CaSki ( approximately 400 integrated copies of HPV 16) and SiHa (1-2 integrated copies of HPV 16) that differ in their transcriptional activity. Methylation levels ranged from 20 to 100% in CaSki and from 0 to 85% in SiHa over the entire 19 CpG sites, with a >40-fold difference in the methylation levels of their promoter and enhancer regions (SiHa<2% and CaSki 79%). The method was successful at a limiting dilution of 1-4 HPV 16 DNA copies/3000 cells, a level compatible with most clinical samples. The results were not affected by fixation in methanol-based liquid cytology collection fluid or method of extraction. Conditions optimized with cell lines were applicable to fixed exfoliated cervical cells. Pyrosequencing provides a quantitative site-specific assessment of methylation at multiple CpG sites without cloning, and is thus suited to large-scale molecular epidemiologic studies.

Cell Line, Tumor↗
PubMed2006

Human papillomavirus type 16 variant assignment by pyrosequencing.

Polymorphisms in human papillomavirus type 16 (HPV16) result in variants from the prototype sequence which can be designated according to geographic distribution and are broadly classified as European (E), African (Af), Asian (As), or Asian-American (AA). Detection of variants has been used to distinguish persistent HPV16 infection from re-infection in natural history studies, and variants have been associated with an increased risk of cervical disease in some populations. Variant determination usually relies on conventional Sanger sequencing of regions of the viral genome, with the major variant group assignments requiring the sequencing of only seven polymorphic sites spread over a 242-bp region of the E6 gene. We applied pyrosequencing to facilitate rapid sequencing and enable the simultaneous detection of multiple variants. A single-stranded template for pyrosequencing was prepared by amplifying a 314-bp fragment (nt 75-388) with a biotin at the 5'-end of the reverse primer to facilitate strand separation and purification. Polymorphisms at the nucleotide sites 109, 131, 132, 143, 145, 178 and 350 were determined in three separate sequencing reactions, one of which was a multiplex format. Pyrosequencing of 97 HPV16-positive exfoliated cervical samples confirmed the Sanger sequencing results; however pyrosequencing identified additional variants in several samples containing mixed variants.

Base Sequence↗
PubMed2006

Gene expression profile of empirically delineated classes of unexplained chronic fatigue.

OBJECTIVES: To identify the underlying gene expression profiles of unexplained chronic fatigue subjects classified into five or six class solutions by principal component (PCA) and latent class analyses (LCA). METHODS: Microarray expression data were available for 15,315 genes and 111 female subjects enrolled from a population-based study on chronic fatigue syndrome. Algorithms were developed to assign gene scores and threshold values that signified the contribution of each gene to discriminate the multiclasses in each LCA solution. Unsupervised dimensionality reduction was first used to remove noise or otherwise uninformative gene combinations, followed by supervised dimensionality reduction to isolate gene combinations that best separate the classes. RESULTS: The authors' gene score and threshold algorithms identified 32 and 26 genes capable of discriminating the five and six multiclass solutions, respectively. Pair-wise comparisons suggested that some genes (zinc finger protein 350 [ZNF350], solute carrier family 1, member 6 [SLC1A6], F-box protein 7 [FBX07] and vacuole 14 protein homolog [VAC14]) distinguished most classes of fatigued subjects from healthy subjects, whereas others (patched homolog 2 [PTCH2] and T-cell leukemia/lymphoma [TCL1A]) differentiated specific fatigue classes. CONCLUSION: A computational approach was developed for general use to identify discriminatory genes in any multiclass problem. Using this approach, differences in gene expression were found to discriminate some classes of unexplained chronic fatigue, particularly one termed interoception.

Algorithms↗
PubMed2006

Polymorphisms in genes regulating the HPA axis associated with empirically delineated classes of unexplained chronic fatigue.

Chronic fatigue syndrome (CFS) is characterized by persistent or relapsing fatigue that is not alleviated by rest, causes substantial reduction in activities and is accompanied by a variety of symptoms. Its unknown etiology may reflect that CFS is heterogeneous. Latent class analyses of symptoms and physiological systems were used to delineate subgroups within a population-based sample of fatigued and nonfatigued subjects [1] . This study examined whether genetic differences underlie the individual subgroups of the latent class solution. Polymorphisms in 11 candidate genes related to both hypothalamic-pituitary-adrenal (HPA) axis function and mood-related neurotransmitter systems were evaluated by comparing each of the five ill classes (Class 1, n = 33; Class 3, n = 22; Class 4, n = 22; Class 5, n = 17; Class 6, n = 11) of fatigued subjects with subjects defined as well (Class 2, n = 35). Of the five classes of subjects with unexplained fatigue, three classes were distinguished by gene polymorphsims involved in either HPA axis function or neurotransmitter systems, including proopiomelanocortin (POMC), nuclear receptor subfamily 3, group C, member 1 (NR3C1), monoamine oxidase A (MAOA), monoamine oxidase B (MAOB), and tryptophan hydroxylase 2 (TPH2). These data support the hypothesis that medically unexplained chronic fatigue is heterogeneous and presents preliminary evidence of the genetic mechanisms underlying some of the putative conditions.

Affect↗
PubMed2006

DNA and RNA references for qRT-PCR assays in exfoliated cervical cells.

The noncritical use of housekeeping genes, RNA mass, or cell number for normalization in quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR) assays has come under scrutiny in recent years, highlighting the need to evaluate references in the immediate context of the relevant samples and experimental design. The purpose of this study was to select appropriate references for normalizing qRT-PCR assays of gene expression in exfoliated cervical cells. We used total nucleic acid extracts from 30 samples, representing the full spectrum of pre-invasive cervical neoplasia. We determined the DNA content by quantitative PCR for the single-copy gene beta-globin and total RNA content using quantitative image analysis of ribosomal bands. In addition, qRT-PCR for 13 candidate housekeeping genes was performed. We used two analysis methods, geNorm and Norm-Finder, to identify the best combination of reference genes and then correlated housekeeping gene expression with DNA content and gel representation of ribosomal RNA. ACTB was the most stable single gene. The addition of PGK1 and RPLP0 increased the robustness in qRT-PCR applications not stratified by disease. These genes also showed the highest correlation with DNA contents in the same samples. If special attention to intraepithelial lesions is appropriate, RPL4 and PGK1 are recommended as the best combination of two genes.

Base Sequence↗
PubMed2005

Epidemiologic and viral factors associated with cervical neoplasia in HPV-16-positive women.

While infection with high-risk HPV is the most important risk factor for cervical cancer, HPV alone is insufficient. Our purpose was to identify viral and epidemiologic factors associated with cervical disease in HPV-16 DNA-positive women referred to colposcopy. We used a standardized interview to collect epidemiologic data from consenting women. Total nucleic acids from exfoliated cervical cells were used for all viral assays (HPV detection and typing using L1 consensus PCR with line probe hybridization, variant classification by sequencing, viral load and transcript copy determination by quantitative PCR and transcript pattern by nested RT-PCR). Cervical disease was based on colposcopic biopsy. Logistic regression was used to calculate ORs with 95% CIs. There were 115 HPV-16 positive women among 839 enrollees. By univariate analyses, age >25 years (OR = 3.05, 95% CI 1.20-7.76), smoking (OR = 3.0, 95% CI 1.19-7.56), high viral load (OR = 5.27, 95% CI 2.05-13.60), detection of both E6 and E6*I transcripts (OR = 10.0, 95% CI 2.1-47.58) and high transcript copies (OR = 5.56, 95% CI 2.05-13.60) were significant risk factors for CIN III with reference to No CIN/CIN I. Less than a third of the women (31.5%) had prototype HPV-16 detected, and variants showed no association with disease, viral load or transcription. Viral DNA and transcript copies were highly correlated, and the ratio of transcript copies to DNA copies was not changed with disease status. While viral load, transcript copies and transcript pattern were statistically associated with CIN III, none of these measures effectively discriminated between HPV-16 women with disease requiring treatment and those who could be followed. Cellular proliferation and differentiation pathways affected by HPV should be investigated as biomarkers for cervical cancer screening.

Adolescent↗
PubMed2005

Gene expression profile of cervical tissue compared to exfoliated cells: impact on biomarker discovery.

BACKGROUND: Exfoliated cervical cells are used in cytology-based cancer screening and may also be a source for molecular biomarkers indicative of neoplastic changes in the underlying tissue. However, because of keratinization and terminal differentiation it is not clear that these cells have an mRNA profile representative of cervical tissue, and that the profile can distinguish the lesions targeted for early detection. RESULTS: We used whole genome microarrays (25,353 unique genes) to compare the transcription profiles from seven samples of normal exfoliated cells and one cervical tissue. We detected 10,158 genes in exfoliated cells, 14,544 in the tissue and 7320 genes in both samples. For both sample types the genes grouped into the same major gene ontology (GO) categories in the same order, with exfoliated cells, having on average 20% fewer genes in each category. We also compared microarray results of samples from women with cervical intraepithelial neoplasia grade 3 (CIN3, n = 15) to those from age and race matched women without significant abnormalities (CIN1, CIN0; n = 15). We used three microarray-adapted statistical packages to identify differential gene expression. The six genes identified in common were two to four fold upregulated in CIN3 samples. One of these genes, the ubiquitin-conjugating enzyme E2 variant 1, participates in the degradation of p53 through interaction with the oncogenic HPV E6 protein. CONCLUSION: The findings encourage further exploration of gene expression using exfoliated cells to identify and validate applicable biomarkers. We conclude that the gene expression profile of exfoliated cervical cells partially represents that of tissue and is complex enough to provide potential differentiation between disease and non-disease.

Biomarkers↗
PubMed2005

Gene expression profiling of dysplastic differentiation in cervical epithelial cells harboring human papillomavirus 16.

Molecular events occurring with high-risk human papillomavirus (HPV)-associated dysplastic differentiation of cervical epithelial cells are largely unknown. This study used differential display PCR to identify expression changes between nondifferentiating monolayer and differentiated organotypic (raft) cultures of W12 keratinocytes. These cells were originally derived from a clinical biopsy of HPV 16-positive dysplastic cervical epithelium and retain high-risk HPV 16 and the ability to differentiate, albeit with dysplastic morphology. Using this model system we identified 84 genes with changed expression during dysplastic differentiation. Most (70/84, approximately 80%) were down-regulated with differentiation, consistent with a restriction of expression during terminal differentiation. Twenty-two genes had no known function and 6 novel expressed sequence tags were identified among this group. Of the 62 genes with known functions, 25 belonged to transcription-, translation-, and posttranslation-related categories and 30 had functions associated with neoplastic initiation/progression, calcium signaling, epithelial differentiation, and structure remodeling. Some of the genes with altered expression identified in this model of dysplastic differentiation may be useful biomarkers for early detection of cervical neoplasia and other HPV-associated oropharyngeal and anogenital cancers.

Biomarkers, Tumor↗
PubMed2004

Differential-display PCR of peripheral blood for biomarker discovery in chronic fatigue syndrome.

We used differential-display PCR of peripheral blood mononuclear cells (PBMCs) to search for candidate biomarkers for chronic fatigue syndrome (CFS). PBMCs were collected from a subject with CFS and an age- and sex-matched control before and 24 h after exercise. RNA expression profiles were generated using 46 primer combinations, and the similarity between the individuals was striking. Differentially expressed bands were excised, reamplified, and sequenced, yielding 95 nonredundant sequences, of which 50 matched to known gene transcripts, 38 matched to genes with unknown functions, and 7 had no similarity to any database entry. Most (86%) of the differences between the two subjects were present at baseline. Differential expression of ten genes was verified by real-time reverse-transcription PCR: five (cystatin F, MHC class II, platelet factor 4, fetal brain expressed sequence tag, and perforin) were downregulated, and the remaining five genes (cathepsin B, DNA polymerase epsilon4, novel EST PBMC191MSt, heparanase precursor, and ORF2/L1 element) were upregulated in the subject with CFS. Many of these genes have known functions in defense and immunity, thus supporting prior suggestions of immune dysregulation in the pathogenesis of CFS. Differential-display PCR is a powerful tool for identification of candidate biomarkers. Investigation of these markers in samples from well-designed epidemiological studies of CFS will be required to determine the validity of these candidate biomarkers. The real-time reverse-transcription PCR assays that we developed for assay of these biomarkers will facilitate high-throughput testing of these additional samples.

Fatigue Syndrome, Chronic↗
PubMed2003

Global amplification of sense RNA: a novel method to replicate and archive mRNA for gene expression analysis.

We have developed a procedure to amplify mRNA into sense RNA (sRNA) so as to create a regenerating biorepository representing the complex mRNA profile in the original sample. The procedure exploits the template-switching activity of reverse transcriptase to incorporate RNA polymerase binding sites upstream of single-stranded cDNA (ss cDNA). Limited PCR was used for double-stranded DNA (dsDNA) synthesis. sRNA was synthesized from PCR products by in vitro transcription (IVT). sRNA was evaluated by real-time reverse transcription (RT)-PCR. sRNA synthesis was successful with RNA from human cell lines and tissues, yielding 2000- to 2500-fold amplification of glyceraldeyde-3 phosphate dehydrogenase (G3PDH). The size of sRNA ranged from 3.0 to 0.1 kb. sRNA synthesis preserved the relative differences in plant mRNAs spiked at abundance ranging over 5 orders of magnitude (0.00001-0.1%). This reflects the high fidelity of sRNA synthesis for mRNA as low as 0.3 copies/cell. sRNA is amplified synthetic mRNA in the 5'-->3' direction; the appropriate template for any gene expression analysis.

Cell Line↗