Identification of molecular motors in the Woods Hole squid, Loligo pealei: an expressed sequence tag approach.

The squid giant axon and synapse are unique systems for studying neuronal function. While a few nucleotide and amino acid sequences have been obtained from squid, large scale genetic and proteomic information is lacking. We have been particularly interested in motors present in axons and their roles in transport processes. Here, to obtain genetic data and to identify motors expressed in squid, we initiated an expressed sequence tag project by single-pass sequencing mRNAs isolated from the stellate ganglia of the Woods Hole Squid, Loligo pealei. A total of 22,689 high quality expressed sequence tag (EST) sequences were obtained and subjected to basic local alignment search tool analysis. Seventy six percent of these sequences matched genes in the National Center for Bioinformatics databases. By CAP3 analysis this library contained 2459 contigs and 7568 singletons. Mining for motors successfully identified six kinesins, six myosins, a single dynein heavy chain, as well as components of the dynactin complex, and motor light chains and accessory proteins. This initiative demonstrates that EST projects represent an effective approach to obtain sequences of interest.

In vivo systems analysis identifies spatial and temporal aspects of the modulation of TNF-α-induced apoptosis and proliferation by MAPKs.

Cellular responses to external stimuli depend on dynamic features of multipathway network signaling; thus, cell behavior is influenced in a complex manner by the environment and by intrinsic properties. Methods of multivariate systems analysis have provided an understanding of these convoluted effects, but only for relatively simplified examples in vitro. To determine whether such approaches could be successfully used in vivo, we analyzed the signaling network that determines the response of intestinal epithelial cells to tumor necrosis factor-α (TNF-α). We built data-driven, partial least-squares discriminant analysis (PLSDA) models based on signaling, apoptotic, and proliferative responses in the mouse small intestinal epithelium after systemic exposure to TNF-α. The extracellular signal-regulated kinase (ERK) signaling axis was a critical modulator of the temporal variation in apoptosis at different doses of TNF-α and of the spatial variation in proliferation in distinct intestinal regions. Inhibition of MEK, a mitogen-activated protein kinase kinase upstream of ERK, altered the signaling network and changed the temporal and spatial phenotypes consistent with model predictions. Our results demonstrate the dynamic, adaptive nature of in vivo signaling networks and identify natural, tissue-level variation in responses that can be deconvoluted only with quantitative, multivariate computational modeling. This study lays a foundation for the use of systems-based approaches to understand how dysregulation of the cellular network state underlies complex diseases.