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Satish Sati,
Vinay Singh Tanwar,
K Anand Kumar,
Ashok Patowary,
Vaibhav Jain,
Sourav Ghosh, Shadab Ahmad,
Meghna Singh,
S Umakar Reddy,
Giriraj Ratan Chandak,
Manchala Raghunath,
Sridhar Sivasubbu,
Kausik Chakraborty,
Vinod Scaria,
Shantanu Sengupta
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ABSTRACT: DNA methylation is crucial for gene regulation and maintenance of genomic stability. Rat has been a key model system in understanding mammalian systemic physiology, however detailed rat methylome remains uncharacterized till date. Here, we present the first high resolution methylome of rat liver generated using Methylated DNA immunoprecipitation and high throughput sequencing (MeDIP-Seq) approach. We observed that within the DNA/RNA repeat elements, simple repeats harbor the highest degree of methylation. Promoter hypomethylation and exon hypermethylation were common features in both RefSeq genes and expressed genes (as evaluated by proteomic approach). We also found that although CpG islands were generally hypomethylated, about 6% of them were methylated and a large proportion (37%) of methylated islands fell within the exons. Notably, we obeserved significant differences in methylation of terminal exons (UTRs); methylation being more pronounced in coding/partially coding exons compared to the non-coding exons. Further, events like alternate exon splicing (cassette exon) and intron retentions were marked by DNA methylation and these regions are retained in the final transcript. Thus, we suggest that DNA methylation could play a crucial role in marking coding regions thereby regulating alternative splicing. Apart from generating the first high resolution methylome map of rat liver tissue, the present study provides several critical insights into methylome organization and extends our understanding of interplay between epigenome, gene expression and genome stability.
PLoS ONE 01/2012; 7(2):e31621. · 4.09 Impact Factor
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ABSTRACT: Cyclosporine A, a potent immunosuppressive agent extensively used to prevent allograft rejections, is under scrutiny due to severe toxic effects. CsA therapy is often continued during pregnancy in conditions such as organ transplantations and autoimmune diseases. Herein, we investigated the effects of CsA on early morphogenesis of zebrafish and identified a spectrum of proteins whose expression was altered in the drug treated embryos. Time-lapse fluorescence imaging of germ-line double transgenic zebrafish embryos treated with CsA revealed severe blood regurgitation in heart chambers, absence of blood circulation in vessels, pericardial and yolk sac edema. We also observed lack of mature blood vessels and down-regulation of endothelial markers in CsA treated embryos. Proteomic analysis using 2D-DIGE followed by mass-spectrometry led to the identification of 37 proteins whose expression was significantly modulated in presence of the drug. These proteins were mostly associated with cytoskeletal/structural assembly, lipid-binding, stress response and metabolism. Furthermore, mRNA expression analysis of eight proteins and Western blotting of actin revealed consistency between the changes observed in protein expression and its corresponding mRNA levels. Our findings demonstrate that CsA administration during early morphogenesis in zebrafish modulates the expression of some proteins which are known to be involved in important physiological processes.
Journal of proteomics 10/2011; 75(3):1004-17. · 5.07 Impact Factor
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PLoS ONE 01/2011; · 4.09 Impact Factor
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XXXV All India Cell Biology Conference and Symposium on Membrane Dynamics & Disease, NISER,Bhubaneswar,Odisha,India; 01/2011
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ABSTRACT: Plasma is the most easily accessible source for biomarker discovery in clinical proteomics. However, identifying potential biomarkers from plasma is a challenge given the large dynamic range of proteins. The potential biomarkers in plasma are generally present at very low abundance levels and hence identification of these low abundance proteins necessitates the depletion of highly abundant proteins. Sample pre-fractionation using immuno-depletion of high abundance proteins using multi-affinity removal system (MARS) has been a popular method to deplete multiple high abundance proteins. However, depletion of these abundant proteins can result in concomitant removal of low abundant proteins. Although there are some reports suggesting the removal of non-targeted proteins, the predominant view is that number of such proteins is small. In this study, we identified proteins that are removed along with the targeted high abundant proteins. Three plasma samples were depleted using each of the three MARS (Hu-6, Hu-14 and Proteoprep 20) cartridges. The affinity bound fractions were subjected to gelC-MS using an LTQ-Orbitrap instrument. Using four database search algorithms including MassWiz (developed in house), we selected the peptides identified at <1% FDR. Peptides identified by at least two algorithms were selected for protein identification. After this rigorous bioinformatics analysis, we identified 101 proteins with high confidence. Thus, we believe that for biomarker discovery and proper quantitation of proteins, it might be better to study both bound and depleted fractions from any MARS depleted plasma sample.
PLoS ONE 01/2011; 6(9):e24442. · 4.09 Impact Factor
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ABSTRACT: Preanalytical variables play a key role in discovery of biomarkers. Although the effect of several preanalytical variables on the mass spectral profiles has been studied extensively, little is known about long-term storage of serum samples. This is important because samples used in case-control or epidemiological studies are usually stored for a long time before analysis. Here we evaluated long-term storage effects on mass spectral peak patterns of serum peptides extracted using weak cation exchange magnetic beads. For this, 20 serum samples stored at -80 degrees C were divided equally into two groups based on their storage time. We found that intensities of 26 mass spectral peaks significantly varied between these two groups. Intensities of these peaks significantly correlated with storage time. Genetic algorithm-based models generated using these 26 peaks could classify 63 additional samples into these two groups with 100% and 96% accuracy, respectively. We also show that storing samples for 10 months at -80 and -20 degrees C results in the appearance/disappearance or intensity variation of peaks, some of which were previously reported as disease biomarkers.
Analytical Biochemistry 08/2009; 394(2):237-42. · 3.00 Impact Factor
