Interleukin-10 (IL-10) is an acid-sensitive protein of 35 kD that has pleiotropic effects including inhibition of cytotoxic T-cell response, induction of major histocompatibility complex type II in B lymphocytes, induction of B-cell growth and differentiation, and autocrine growth factor activity in monocytes. We and others have shown that IL-10 is produced spontaneously by blood mononuclear cells from human immunodeficiency virus-seropositive patients. In an attempt to ascertain the potential role of IL-10 in acquired immunodeficiency syndrome (AIDS)-related B-cell lymphoma, we evaluated the expression of human IL-10 in both tumor-derived B-cell lines and primary tumor cells. Expression of human IL-10 (hIL-10) mRNA and protein was detected in four of five cell lines examined. An IL-10 antisense oligonucleotide inhibited IL-10 mRNA expression and IL-10 protein production. The proliferation of all B-cell lines was inhibited by an antisense oligonucleotide in a dose-dependent manner that was abrogated by the addition of recombinant hIL-10 protein. No effect of antisense oligonucleotide was observed in the B-cell line not producing hIL-10. Evaluation of primary tumor cells from patients with AIDS-lymphoma cells showed similar production and response to IL-10. These data suggest an autocrine growth mechanism for IL-10 in AIDS-related lymphoma cells and that IL-10 may be important in its pathogenesis.

We describe an Eulerian path approach to the DNA fragment assembly that was originated by Idury and Waterman 1995, and then advanced by Pevzner et al. 2001b. This combinatorial approach bypasses the traditional "overlap-layout-consensus" approach and successfully resolved some of the troublesome repeats in practical assembly projects. The assembly results by the Eulerian path approach are accurate, and its computation is significantly more efficient than other assembly programs. As an extension, we use the Eulerian path idea to address the multiple sequence alignment problem. In particular, we have as a goal aligning thousands of sequences simultaneously, which is computationally exorbitant for all existing alignment algorithms. As a beginning, we focus on DNA sequence alignment. Our method can align hundreds of DNA sequences within minutes with high accuracy, and its computational time is linear to the number of sequences. We demonstrate its performance by alignments of simulated sequences and by an application in a resequencing project of Arabidopsis thaliana. Although having some weaknesses including aligning gap-rich regions, the Eulerian path approach is distinguished from other existing algorithms in solving either fragment assembly or multiple alignment

No abstract

No abstract