Faculty Bibliography

The ability of flow cytometry to allow fast single cell interrogation of a large number of cells has made this technology ubiquitous and indispensable in the clinical and laboratory setting. A current limit to the potential of this technology is the lack of automated tools for analyzing the resulting data. We describe methodology and software to automatically identify cell populations in flow cytometry data. Our approach advances the paradigm of manually gating sequential two-dimensional projections of the data to a procedure that automatically produces gates based on statistical theory. Our approach is nonparametric and can reproduce nonconvex subpopulations that are known to occur in flow cytometry samples, but which cannot be produced with current parametric model-based approaches. We illustrate the methodology with a sample of mouse spleen and peritoneal cavity cells.

Translational research studies often involve a central study (e.g. clinical trial, cohort of patients, etc.) and multiple investigators who are each interested in addressing different research questions using the same patient population. However, it is often impossible for the investigators to include all patients in all of the ancillary translational research substudies that are part of the main study. This arises due to time and budgetary constraints and other logistical considerations. In this paper, we propose a prospective Systematic Missing-At-Random study design (SMAR) with planned partially missing covariates collected using a nested random sampling scheme that allows an integrated statistical analysis across all domains of data. We propose an algorithm for data analysis that incorporates the features of the design. We show that the SMAR design is computationally and statistically efficient as well as cost effective using simulation studies and a published data example. An extension to a two-stage prospective-retrospective design is discussed.

The host response to Mycobacterium tuberculosis includes macrophage activation, inflammation with increased immune effector cells, tissue necrosis, and cavity formation, and fibrosis, distortion, and bronchiectasis. To evaluate the molecular basis of the immune response in the lungs of patients with active pulmonary tuberculosis (TB), we used bronchoalveolar lavage to obtain cells at the site of infection. Affymetrix GeneChip microarrays and cDNA nylon filter microarrays interrogated gene expression in bronchoalveolar lavage (BAL) cells from 11 healthy controls and 17 patients with active pulmonary TB. We found altered gene expression for 69 genes in TB versus normal controls that included cell surface markers, cytokines, chemokines, receptors, transcription factors, and complement components. In addition, TB BAL cell gene expression patterns segregated into 2 groups: one suggestive of a T helper type 1 (Th1) cellular immune response with increased signal transducer and activator of transcription-4 (STAT-4), interferon-gamma (IFN-gamma receptor), and monokine induced by IFN-gamma (MIG) expression with increased IFN-gamma protein levels in BAL fluid; the other group displayed characteristics of Th2 immunity with increased STAT-6, CD81, and IL-10 receptor expression. We were able to demonstrate that a Th2 presentation could change to a Th1 pattern after anti-tuberculous treatment in 1 TB patient studied serially. These gene expression data support the conclusion that pulmonary TB produces a global change in the BAL cell transcriptome with manifestations of either Th1 or Th2 immunity

Neonatal human peripheral blood mononuclear cells from 12 human immunodeficiency virus (HIV)-infected and 84 uninfected children were assessed for their distribution of T-cell receptors (TCRs) by flow cytometry employing monoclonal antibodies to 14 Vbeta types. Vbeta 2, 5c, and 13 were the most commonly found on CD4 cells (in that order). There was a bimodal distribution of Vbeta 2, being most common in 48% of individuals but in limiting frequency (<2% of CD4) in 21%. Vbeta 2, 3, 8b, and 13 were most commonly expressed on CD8 cells at similar frequencies. There was little difference in the pattern displayed among the infected compared to that of the uninfected. The variation of the distribution over time was studied in 12 infants (7 infected). Only a single HIV-infected child had a significant difference in the interquartile range; none of the HIV-negative patients showed a significant difference. In conclusion, newborns demonstrate different distributions of TCR Vbeta types on CD4 and CD8 cells. HIV infection produces no change in neonatal TCR and little change over the course of 2 years compared to that seen in the uninfected

Asbestos and benzo(a)pyrene diol epoxide (BPDE) are pulmonary carcinogens with synergistic interaction in causing lung cancer. We used Affymetrix microarrays to study gene modulation in vitro using normal human bronchial epithelial cells exposed to chrysotile asbestos and/or BPDE for 4 or 24 h. Linear models were used to compare treated cells to controls at each time point to identify statistically significant up- or downregulation of genes. Profiles of genes regulated by chrysotile were dominated by cytokines, growth factors, and DNA damage. Profiles of genes with BPDE and chrysotile regulation were correlated with proliferation, DNA damage recognition and nucleotide-excision repair, cytokines, and apoptosis. Chemokines, growth-regulated oncogene-alpha (Gro-alpha, CXCL-1), and IL-8, were significantly increased, and these had previously been observed in bronchoalveolar lavage from asbestos workers or in animal models. Interestingly, the Hermansky-Pudlak gene, which is mutated in an autosomal recessive form of pulmonary fibrosis, was downregulated threefold by BPDE at 4 h. This is an interesting example of gene (Hermansky-Pudlak syndrome) and environment (BPDE) interaction. Transcription factors, including activating transcription factor 3 and Cbp/p300-interacting transactivator, were upregulated by chrysotile. Real Time PCR for IL-8, ATF-3, GADD45B, CXC Ligand 1, and CTGF compared to GAPDH validated microarray findings at 24 h. These in vitro findings in NHBE cells model environment-gene interaction for asbestos and BPDE, highlighting effects of inflammation, fibrosis, proliferation, and DNA damage recognition and repair