Hierarchical clustering of monoclonal antibody reactivity patterns in nonhuman species

Two-dimensional antigenic dendrogram and phylogenetic tree of avian influenza virus H5N1

The hemagglutination-inhibition (HI) titers of a panel of 25 mouse monoclonal antibodies (MAbs) against 44 isolates of highly pathogenic avian influenza virus H5N1 were determined. A two-dimensional antigenic dendrogram was constructed by hierarchical clustering of HI titers. Viruses with similar reactivity patterns were clustered horizontally, whereas MAbs were clustered vertically. In this 2-D dendrogram, with 40% similarity as a cut-off, four virus clusters and four MAbs clusters were identified. A phylogenetic tree based on the deduced amino acid sequence of the hemagglutinin gene of tested viruses was constructed and its topology was compared to the antigenic dendrogram. Interestingly, viruses with high genetic homology in the phylogenetic tree also had high similarity in their reactivity patterns, as indicated by their relatedness in the tree and close clustering in the dendrogram, respectively. However, the reverse and the converse were also true. Of the five pairs of viruses in the dendrogram with bootstrap values higher than 75, four pairs were in concordance with their genetic relatedness. However, one pair contained viruses belong to two distinct genetic clades. These results were discussed in the context of antigenic variation, genetic polymorphism, and the potential application of MAbs in antigenic analysis.

A framework for analytical characterization of monoclonal antibodies based on reactivity profiles in different tissues

MOTIVATION

Monoclonal antibodies (mAbs) are among the most powerful and important tools in biology and medicine. MAb development is of great significance to many research and clinical applications. Therefore, objective mAb classification is essential for categorizing and comparing mAb panels based on their reactivity patterns in different cellular species. However, typical flow cytometric mAb profiles present unique modeling challenges with their non-Gaussian features and intersample variations. It makes accurate mAb classification difficult to do with the currently used kernel-based or hierarchical clustering techniques.

RESULTS

To address these challenges, in the present study we developed a formal two-step framework called mAbprofiler for systematic, parametric characterization of mAb profiles. Further, we measured the reactivity of hundreds of new antibodies in diverse tissues using flow cytometry, which we successfully classified using mAbprofiler. First, mAbprofiler fits a mAb's flow cytometric histogram with a finite mixture model of skew t distributions that is robust against non-Gaussian features, and constructs a precise, smooth and mathematically rigorous profile. Then it performs novel curve clustering of the fitted mAb profiles using a skew t mixture of non-linear regression model that can handle intersample variation. Thus, mAbprofiler provides a new framework for identifying robust mAb classes, all well defined by distinct parametric templates, which can be used for classifying new mAb samples. We validated our classification results both computationally and empirically using mAb profiles of known classification.

AVAILABILITY AND IMPLEMENTATION

A demonstration code in R is available at the journal website. The R code implementing the full framework is available from the author website - http://amath.nchu.edu.tw/www/teacher/tilin/software

CONTACT

saumyadipta_pyne@dfci.harvard.edu

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

Angiogenesis gene expression in murine endothelial cells during post-pneumonectomy lung growth

Although blood vessel growth occurs readily in the systemic bronchial circulation, angiogenesis in the pulmonary circulation is rare. Compensatory lung growth after pneumonectomy is an experimental model with presumed alveolar capillary angiogenesis. To investigate the genes participating in murine neoalveolarization, we studied the expression of angiogenesis genes in lung endothelial cells. After left pneumonectomy, the remaining right lung was examined on days 3, 6, 14 and 21days after surgery and compared to both no surgery and sham thoracotomy controls. The lungs were enzymatically digested and CD31⁺ endothelial cells were isolated using flow cytometry cell sorting. The transcriptional profile of the CD31⁺ endothelial cells was assessed using quantitative real-time polymerase chain reaction (PCR) arrays. Focusing on 84 angiogenesis-associated genes, we identified 22 genes with greater than 4-fold regulation and significantly enhanced transcription (p <.05) within 21 days of pneumonectomy. Cluster analysis of the 22 genes indicated that changes in gene expression did not occur in a single phase, but in at least four waves of gene expression: a wave demonstrating decreased gene expression more than 3 days after pneumonectomy and 3 sequential waves of increased expression on days 6, 14, and 21 after pneumonectomy. These findings indicate that a network of gene interactions contributes to angiogenesis during compensatory lung growth.