Stochastic Sensitivity Analysis and Kernel Inference via Distributional Data

Cellular processes are noisy due to the stochastic nature of biochemical reactions. As such, it is impossible to predict the exact quantity of a molecule or other attributes at the single-cell level. However, the distribution of a molecule over a population is often deterministic and is governed by the underlying regulatory networks relevant to the cellular functionality of interest. Recent studies have started to exploit this property to infer network states. To facilitate the analysis of distributional data in a general experimental setting, we introduce a computational framework to efficiently characterize the sensitivity of distributional output to changes in external stimuli. Further, we establish a probability-divergence-based kernel regression model to accurately infer signal level based on distribution measurements. Our methodology is applicable to any biological system subject to stochastic dynamics and can be used to elucidate how population-based information processing may contribute to organism-level functionality. It also lays the foundation for engineering synthetic biological systems that exploit population decoding to more robustly perform various biocomputation tasks, such as disease diagnostics and environmental-pollutant sensing.     

Endocytosis of superoxide dismutase by rat liver.

We have investigated the endocytosis by rat liver of superoxide dismutase (SOD) labelled with 125I. (125I) SOD is quickly taken up by the liver where it remains in significant amounts for at least 150 min. Adsorptive endocytosis is probably involved. Distribution of radioactivity was established after differential and isopycnic centrifugation and compared with that of cathepsin C, a lysosomal enzyme. Results show that the behavior of radioactivity is similar to that of the hydrolase. SOD activity is only marginally affected by incubation in the presence of a purified lysosome extract; moreover, when (125I) SOD is treated in the same conditions, only a few percent of radioactivity becomes acidosoluble. These observations indicate that SOD taken up by the liver accumulates in lysosomes where it can stay for a relatively long time owing to its relative resistance to lysosomal hydrolases.     

Information for targeting to the chloroplastic inner envelope membrane is contained in the mature region of the maize Bt1-encoded protein.

Based on the protein sequence deduced from a cDNA clone, it has been proposed that the maize bt1 locus encodes an amyloplast membrane metabolite translocator protein (Sullivan, T. D., Strelow, L. I., Illingworth, C. A., Phillips, R. L., and Nelson, O. E., Jr. (1991) Plant Cell 3, 1337-1348). The present work provides further evidence for this hypothesis by showing that the gene product of Bt1 could be imported into chloroplasts in vitro and processed to lower molecular weight mature proteins. More importantly, the imported mature proteins were localized to the inner envelope membrane, where metabolite translocators are located in plastids. In addition, the location of information for targeting to the inner membrane was investigated by constructing and analyzing the import of chimeric precursor proteins. A chimeric protein with the transit peptide of the precursor to the small subunit of ribulose-1,5-bisphosphate carboxylase fused to the mature region of the Bt1-encoded protein was targeted to the inner envelope membrane of chloroplasts. Moreover, a chimeric protein with the transit peptide of the Bt1-encoded protein fused to the mature protein of the light-harvesting chlorophyll a/b binding protein was targeted to the thylakoid. These results indicate that the transit peptide of the Bt1-encoded protein functions primarily as a stromal targeting sequence. The information for targeting to the chloroplastic inner envelope membrane is contained in the mature region of the protein.     

Genome‐scale identification of miRNA–mRNA and miRNA–lncRNA interactions in domestic animals

Domestic animals show considerable genetic diversity. Previous studies suggested that animal phenotypes were affected by miRNA–mRNA interplay, but these studies focused mainly on the analysis of one or several miRNA–mRNA interactions. However, in this study, we investigated miRNA–mRNA and miRNA–lncRNA interactions on a genomic scale using miranda and targetscan algorithms. There has been strong directional artificial selection practiced during the domestication of animals. Thus, we investigated SNPs that were located in miRNAs and miRNA binding sites and found that several SNPs located in 3′‐UTRs of mRNAs had the potential to affect miRNA–mRNA interactions. In addition, a database, named miRBond, was developed to provide visualization, analysis and downloading of the resulting datasets. Our results open the way to further experimental verification of miRNA–mRNA and miRNA–lncRNA interactions as well as the influence of SNPs upon such interplay.     

The Coda of the Transient Response in a Sensitive Cochlea: A Computational Modeling Study

In a sensitive cochlea, the basilar membrane response to transient excitation of any kind–normal acoustic or artificial intracochlear excitation–consists of not only a primary impulse but also a coda of delayed secondary responses with varying amplitudes but similar spectral content around the characteristic frequency of the measurement location. The coda, sometimes referred to as echoes or ringing, has been described as a form of local, short term memory which may influence the ability of the auditory system to detect gaps in an acoustic stimulus such as speech. Depending on the individual cochlea, the temporal gap between the primary impulse and the following coda ranges from once to thrice the group delay of the primary impulse (the group delay of the primary impulse is on the order of a few hundred microseconds). The coda is physiologically vulnerable, disappearing when the cochlea is compromised even slightly. The multicomponent sensitive response is not yet completely understood. We use a physiologically-based, mathematical model to investigate (i) the generation of the primary impulse response and the dependence of the group delay on the various stimulation methods, (ii) the effect of spatial perturbations in the properties of mechanically sensitive ion channels on the generation and separation of delayed secondary responses. The model suggests that the presence of the secondary responses depends on the wavenumber content of a perturbation and the activity level of the cochlea. In addition, the model shows that the varying temporal gaps between adjacent coda seen in experiments depend on the individual profiles of perturbations. Implications for non-invasive cochlear diagnosis are also discussed.