Biomedical subjects

David A Engler

Publications and source records attributed to David A Engler.

3 recordsLinked to original sources

PubMed2006

Proteomic identification of in vivo substrates for matrix metalloproteinases 2 and 9 reveals a mechanism for resolution of inflammation.

Clearance of allergic inflammatory cells from the lung through matrix metalloproteinases (MMPs) is necessary to prevent lethal asphyxiation, but mechanistic insight into this essential homeostatic process is lacking. In this study, we have used a proteomics approach to determine how MMPs promote egression of lung inflammatory cells through the airway. MMP2- and MMP9-dependent cleavage of individual Th2 chemokines modulated their chemotactic activity; however, the net effect of complementing bronchoalveolar lavage fluid of allergen-challenged MMP2(-/-)/MMP9(-/-) mice with active MMP2 and MMP9 was to markedly enhance its overall chemotactic activity. In the bronchoalveolar fluid of MMP2(-/-)/MMP9(-/-) allergic mice, we identified several chemotactic molecules that possessed putative MMP2 and MMP9 cleavage sites and were present as higher molecular mass species. In vitro cleavage assays and mass spectroscopy confirmed that three of the identified proteins, Ym1, S100A8, and S100A9, were substrates of MMP2, MMP9, or both. Function-blocking Abs to S100 proteins significantly altered allergic inflammatory cell migration into the alveolar space. Thus, an important effect of MMPs is to differentially modify chemotactic bioactivity through proteolytic processing of proteins present in the airway. These findings provide a molecular mechanism to explain the enhanced clearance of lung inflammatory cells through the airway and reveal a novel approach to target new therapies for asthma.

Amino Acid Sequence↗

PubMed2006

A pseudolikelihood approach for simultaneous analysis of array comparative genomic hybridizations.

DNA sequence copy number has been shown to be associated with cancer development and progression. Array-based comparative genomic hybridization (aCGH) is a recent development that seeks to identify the copy number ratio at large numbers of markers across the genome. Due to experimental and biological variations across chromosomes and hybridizations, current methods are limited to analyses of single chromosomes. We propose a more powerful approach that borrows strength across chromosomes and hybridizations. We assume a Gaussian mixture model, with a hidden Markov dependence structure and with random effects to allow for intertumoral variation, as well as intratumoral clonal variation. For ease of computation, we base estimation on a pseudolikelihood function. The method produces quantitative assessments of the likelihood of genetic alterations at each clone, along with a graphical display for simple visual interpretation. We assess the characteristics of the method through simulation studies and analysis of a brain tumor aCGH data set. We show that the pseudolikelihood approach is superior to existing methods both in detecting small regions of copy number alteration and in accurately classifying regions of change when intratumoral clonal variation is present. Software for this approach is available at http://www.biostat.harvard.edu/ approximately betensky/papers.html.

Algorithms↗

PubMed2006

Glioma test array for use with formalin-fixed, paraffin-embedded tissue: array comparative genomic hybridization correlates with loss of heterozygosity and fluorescence in situ hybridization.

Array-based comparative genomic hybridization (aCGH) is a powerful, high-throughput tool for whole genome analysis. Until recently, aCGH could only be reproducibly performed on frozen tissue samples and with significant tissue amounts. For brain tumors however, paraffin-embedded tissue blocks from small stereotactic biopsies may be the only tissue routinely available. The development of methods to analyze formalin-fixed, paraffin-embedded (FFPE) material therefore has the potential to impact molecular diagnosis in a significant way. To this end, we constructed a BAC array representing chromosomes 1, 7, 19, and X because 1p/19q deletion and EGFR gene amplification provide clinically relevant information for glioma diagnosis. We also optimized a two-step labeling procedure using an amine-modified nucleotide for generating aCGH probes. Using this approach, we analyzed a series of 28 FFPE oligodendroglial tumors for alterations of chromosomes 1, 7, and 19. We also independently assayed these tumors for 1p/19q deletion by fluorescence in situ hybridization and by loss of heterozygosity analyses. The concordance between aCGH, standard loss of heterozygosity and fluorescence in situ hybridization was nearly 100% for the chromosomes analyzed. These results suggest that aCGH could offer an improved molecular diagnostic approach for gliomas because of its ability to detect clinically relevant molecular alterations in small FFPE specimens.

Cold Temperature↗