Dresden School of Medicine

The transmembrane glycoprotein CD44 represents a family of molecules, all encoded by one gene. The variability of the isoforms is generated by alternative splicing of the nuclear RNA. Apart from the abundant standard form (CD44s), the variant isoforms (CD44v) are mostly restricted to epithelia. The present study demonstrates the expression of CD44s and CD44v isoforms in embryonic and fetal lungs and in normal and pathologically altered (pulmonary fibrosis after radio-or chemotherapy) human adult pulmonary tissues. Using double immunofluorescence and avidin biotin complex (ABC) techniques on paraffin sections, presence of CD44s and CD44v isoforms (CD44v4, CD44v6, CD44v9) has been analyzed. In normal lung tissue, CD44s is present at the cell surface of alveolar macrophages, in some interstitial cells and in epithelial cells. It is also present in epithelial and non-epithelial cells during lung development. CD44v isoforms containing exon v6 and v9 encoded epitopes are selectively detectable in normal epithelial cells with a strong basolateral distribution pattern in the entire population of type II pneumocytes and in basal cells of the bronchial epithelium. During development exon v9 encoded isoforms appear at the pseudoglandular stage, whereas CD44v6 has only been found at the saccular stage. Examination of 12 fibrotic lung samples has revealed major alterations in the CD44 expression in comparison to normal lung tissue. These changes include cytoplasmic deposits of CD44s in alveolar epithelial cells and reduced expression of the CD44v6 and CD44v9 isoforms in alveolar epithelial and bronchial epithelial cells. The results suggest that CD44v isoforms may be utilized by type II pneumocytes in epithelial-mesenchymal interactions and in the maintenance of the pulmonary histoarchitecture. Pathologic alterations in pulmonary fibrosis are accompanied by disruption of the histoarchitecture and loss of CD44v isoforms.

The tracking of individual cells in time-lapse microscopy facilitates the assessment of certain characteristics of different cell types. Since manual tracking of an adequate number of cells over a considerable number of frames is tedious and sometimes not feasible, there is a vital interest in automated methods. We present a rather minimalistic approach for the tracking of unstained cells in cell culture assays. The proposed approach comprises background subtraction, an object detection method based on discrete geometrical feature analysis together with a validation of the resulting graph-structures. The main advantage of this approach lies in its computational efficiency.