Biology subjects

Song, E.

Publications and source records attributed to Song, E..

2 recordsLinked to original sources

bioRxiv2019

Dynamics of Auxilin1 and GAK in clathrin-1 mediated traffic

Clathrin coated vesicles formed at the plasma membrane lose their clathrin lattice within seconds of pinching off, through the action of the Hsc70 \"uncoating ATPase\". The J-domain containing proteins, auxilin1 (Aux1) and auxilin2/cyclin-G dependent kinase (GAK), recruit Hsc70. Aux1 and GAK are closely related homologs, each with a phosphatase- and tensin-like (PTEN-like) domain, a clathrin-binding region, and a C-terminal J-domain; GAK has an additional, N-terminal Ser/Thr kinase domain. The PTEN-like domain has no phosphatase activity, but it can recognize phosphatidylinositol phosphate head groups. Aux1 and GAK appear on coated vesicles in successive transient bursts, immediately after dynamin mediated membrane scission has released the vesicle from the plasma membrane. We show here that these bursts represent recruitment of a very small number of auxilins such that even 4-6 molecules are sufficient to mediate uncoating. In contrast, we could not detect auxilins in abortive pits or at any time during coated-pit assembly. We have also shown previously that clathrin coated vesicles have a dynamic phosphoinositide landscape, and we have proposed that lipid head group recognition might determine the timing of Aux1 and GAK appearance. We now show that differential recruitment of Aux1 and GAK correlates with temporal variations in phosphoinositide composition, consistent with a lipid-switch timing mechanism.

cell biology↗

bioRxiv2019

Probabilistic Models of Larval Zebrafish Behavior: Structure on Many Scales

Nervous systems have evolved to combine environmental information with internal state to select and generate adaptive behavioral sequences. To better understand these computations and their implementation in neural circuits, natural behavior must be carefully measured and quantified. Here, we collect high spatial resolution video of single zebrafish larvae swimming in a naturalistic environment and develop models of their action selection across exploration and hunting. Zebrafish larvae swim in punctuated bouts separated by longer periods of rest called interbout intervals. We take advantage of this structure by categorizing bouts into discrete types and representing their behavior as labeled sequences of bout-types emitted over time. We then construct probabilistic models - specifically, marked renewal processes - to evaluate how bout-types and interbout intervals are selected by the fish as a function of its internal hunger state, behavioral history, and the locations and properties of nearby prey. Finally, we evaluate the models by their predictive likelihood and their ability to generate realistic trajectories of virtual fish swimming through simulated environments. Our simulations capture multiple timescales of structure in larval zebrafish behavior and expose many ways in which hunger state influences their action selection to promote food seeking during hunger and safety during satiety.

animal behavior and cognition↗