Automated quantification of cellular traffic in living cells.

Cellular traffic is a central aspect of cell function in health and disease. It is highly dynamic, and can be investigated at increasingly finer temporal and spatial resolution due to new imaging techniques and probes. Manual tracking of these data is labor-intensive and observer-biased and existing automation is only semi-automatic and requires near-perfect object detection and high-contrast images. Here, we describe a novel automated technique for quantifying cellular traffic. Using local intrinsic information from adjacent images in a sequence and a model for object characteristics, our approach detects and tracks multiple objects in living cells via Multiple Hypothesis Tracking and handles several confounds (merge/split, birth/death, and clutters), as reliable as expert observers. By replacing the related component (e.g. using a different appearance model) the method can be easily adapted for quantitative analysis of other biological samples.

Automated analysis of the architecture of receptors, imaged by atomic force microscopy.

Fast neurotransmission involves the operation of ionotropic receptors, which are multi-subunit proteins that respond to activation by opening an integral ion channel. Examples of such channels include the GABA(A) receptor, the 5-HT(3) receptor and the P2X receptor for ATP. These receptors contain more than one type of subunit, although the exact subunit stoichiometry and arrangement around the receptor rosette is often unknown. We are using atomic force microscopy (AFM) of purified receptors to address these issues. Measurement of the molecular volume of the receptor permits the determination of the number of subunits that it contains. Furthermore, analysis of the geometry of complexes between receptors and subunit-specific antibodies reveals the subunit arrangement. Our AFM-based approach has so far been dependent on manual data processing, which is both time-consuming and prone to operator bias. In this study, we set out to develop a novel method capable of automatic segmentation and quantitative analysis of both single receptor particles and receptor-antibody complexes. The method was validated using images of wild type and mutant forms of the P2X(6) receptor. We suggest that the automated method will greatly facilitate further progress in the use of AFM for the determination of receptor and multi-protein architecture.

Atomic force microscopy study of the structural effects induced by echinomycin binding to DNA.

Atomic force microscopy (AFM) has been used to examine the conformational effects of echinomycin, a DNA bis-intercalating antibiotic, on linear and circular DNA. Four different 398 bp DNA fragments were synthesized, comprising a combination of normal and/or modified bases including 2,6-diaminopurine and inosine (which are the corresponding analogues of adenine and guanosine in which the 2-amino group that is crucial for echinomycin binding has been added or removed, respectively). Analysis of AFM images provided contour lengths, which were used as a direct measure of bis-intercalation. About 66 echinomycin molecules are able to bind to each fragment, corresponding to a site size of six base-pairs. The presence of base-modified nucleotides affects DNA conformation, as determined by the helical rise per base-pair. At the same time, the values obtained for the dissociation constant correlate with the types of preferred binding site available among the different DNA fragments; echinomycin binds to TpD sites much more tightly than to CpG sites. The structural perturbations induced when echinomycin binds to closed circular duplex pBR322 DNA were also investigated and a method for quantification of the structural changes is presented. In the presence of increasing echinomycin concentration, the plasmid can be seen to proceed through a series of transitions in which its supercoiling decreases, relaxes, and then increases.