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Nirupma Pati

Publications and source records attributed to Nirupma Pati.

4 recordsLinked to original sources

A proximal tissue-specific module and a distal negative regulatory module control apolipoprotein(a) gene transcription.

The apo(a) [apolipoprotein(a)] gene is responsible for variations in plasma lipoprotein(a), high levels of which are a risk factor for atherosclerosis and myocardial infarction. The apo(a) promoter stimulates the expression of reporter genes in HepG2 cells, but not in HeLa cells. In the present study, we demonstrate that the 1.4 kb apo(a) promoter comprises two composite regulatory regions: a distal negative regulatory module (positions -1432 to -716) and a proximal tissue-specific module (-716 to -616). The distal negative regulatory module contains two strong negative regulatory regions [polymorphic PNR (pentanucleotide repeat region) and NREbeta (negative regulatory element beta)], which sandwich the postive regulatory region PREbeta (positive regulatory element beta). The PNR was shown to bind to transcription factors in a tissue-specific manner, whereas the ubiquitous transcription factors hepatocyte nuclear factor 3alpha and GATA binding protein 4 bound to NREbeta to repress gene transcription. The proximal tissue-specific module contains two regulatory elements: an activating region (PREalpha) that activates transcription in HepG2 cells, and NREalpha, which is responsible for repressing the apo(a) gene in HeLa cells. NREalpha binds to a HeLa-specific repressor. These multiple regulatory elements might work co-operatively to finely regulate apo(a) gene expression. Although the tissue-specific module is required for apo(a) gene activation and repression in a tissue-specific manner, the combinatorial interplay of the distal and proximal regulators might define the complex pathway(s) of apo(a) gene regulation.

Apolipoproteins A↗

Quantitative quality control in microarray experiments and the application in data filtering, normalization and false positive rate prediction.

Data preprocessing including proper normalization and adequate quality control before complex data mining is crucial for studies using the cDNA microarray technology. We have developed a simple procedure that integrates data filtering and normalization with quantitative quality control of microarray experiments. Previously we have shown that data variability in a microarray experiment can be very well captured by a quality score q(com) that is defined for every spot, and the ratio distribution depends on q(com). Utilizing this knowledge, our data-filtering scheme allows the investigator to decide on the filtering stringency according to desired data variability, and our normalization procedure corrects the q(com)-dependent dye biases in terms of both the location and the spread of the ratio distribution. In addition, we propose a statistical model for false positive rate determination based on the design and the quality of a microarray experiment. The model predicts that a lower limit of 0.5 for the replicate concordance rate is needed in order to be certain of true positives. Our work demonstrates the importance and advantages of having a quantitative quality control scheme for microarrays.

Algorithms↗

Difference in gene expression profiles between human CD4+CD25+ and CD4+CD25- T cells.

We studied the gene expression profiles of human CD4+CD25+ and CD4+CD25- T cells by using cDNA microarrays. Our preliminary results indicate that there are likely significant differences in the regulation of apoptosis, cell cycle, cytokine receptor, cell-cell interaction, and stress pathway genes between these two subtypes of T cells.

CD4 Antigens↗

Multiple liver-specific factors bind to a 64-bp element and activate apo(a) gene.

The high plasma levels of lipoprotein(a) [Lp(a)] are associated with atherosclerosis. The apo(a) gene is responsible for the variance of Lp(a) concentration and its expression is liver-specific. By 5'-deletion analysis, we, in a luciferase gene reporter assay, have identified a 64-bp AT-rich region of upstream apo(a) gene (-703 to -640) that binds to multiple liver-specific factors. The 64 bp cis-element contained three dyad symmetry elements (DSEs) that are crucial for synergistic binding to the factors. We have demonstrated that both DSE-2 and -3 together are responsible for factor binding in vitro, and for gene activation in liver cells. Further, we have purified one of the UV cross-linked DNA-protein complexes to homogeneity by streptavidin magnetic bead chromatography. The identification of a further upstream negative regulatory region (-1432 to -704) led us to predict that as yet unidentified transcriptional repressor(s) might also repress apo(a) gene transcription.

AT Rich Sequence↗