The Default Mode Network Differentiates Biological From Non-Biological Motion.

The default mode network (DMN) has been implicated in an array of social-cognitive functions, including self-referential processing, theory of mind, and mentalizing. Yet, the properties of the external stimuli that elicit DMN activity in relation to these domains remain unknown. Previous studies suggested that motion kinematics is utilized by the brain for social-cognitive processing. Here, we used functional MRI to examine whether the DMN is sensitive to parametric manipulations of observed motion kinematics. Preferential responses within core DMN structures differentiating non-biological from biological kinematics were observed for the motion of a realistically looking, human-like avatar, but not for an abstract object devoid of human form. Differences in connectivity patterns during the observation of biological versus non-biological kinematics were additionally observed. Finally, the results additionally suggest that the DMN is coupled more strongly with key nodes in the action observation network, namely the STS and the SMA, when the observed motion depicts human rather than abstract form. These findings are the first to implicate the DMN in the perception of biological motion. They may reflect the type of information used by the DMN in social-cognitive processing.

A library of programmable DNAzymes that operate in a cellular environment.

DNAzymes were used as inhibitory agents in a variety of experimental disease settings, such as cancer, viral infections and even HIV. Drugs that become active only upon the presence of preprogrammed abnormal environmental conditions may enable selective molecular therapy by targeting abnormal cells without injuring normal cells. Here we show a novel programmable DNAzyme library composed of variety of Boolean logic gates, including YES, AND, NOT, OR, NAND, ANDNOT, XOR, NOR and 3-input-AND gate, that uses both miRNAs and mRNAs as inputs. Each gate is based on the c-jun cleaving Dz13 DNAzyme and active only in the presence of specific input combinations. The library is modular, supports arbitrary inputs and outputs, cascadable, highly specific and robust. We demonstrate the library's potential diagnostic abilities on miRNA and mRNA combinations in cell lysate and its ability to operate in a cellular environment by using beacon-like c-jun mimicking substrate in living mammalian cells.

A programmable NOR-based device for transcription profile analysis.

An autonomous synthetic programmable device that can diagnose a cell's state according to predefined markers and produce a corresponding therapeutic output may be the basis of future programmable drugs. Motivated to increase diagnosis precision, devices that integrate multiple disease markers have been implemented based on various molecular tools. As simplicity is key to future in-vivo applications, we sought a molecular device that a) integrates multiple inputs without requiring pairwise interactions, and b) harnesses only mechanisms that cells natively use. Here we show a synthetic NOR-based programmable device, operating via a biochemical obstructing approach rather than on a constructive approach, capable of differentiating between prokaryotic cell strains based on their unique expression profile. To demonstrate our system's strengths we further implemented the NOT, OR and AND gates. The device's programmability allows context-dependent selection of the inputs being sensed, and of the expressed output, thus, holding great promise in future biomedical applications.