Endoplasmic reticulum stress activates SRC, relocating chaperones to the cell surface where GRP78/CD109 blocks TGF-ß signaling.

The discovery that endoplasmic reticulum (ER) luminal chaperones such as GRP78/BiP can escape to the cell surface upon ER stress where they regulate cell signaling, proliferation, apoptosis, and immunity represents a paradigm shift. Toward deciphering the mechanisms, we report here that, upon ER stress, IRE1α binds to and triggers tyrosine kinase SRC activation, leading to ASAP1 phosphorylation and Golgi accumulation of ASAP1 and Arf1-GTP, resulting in KDEL receptor dispersion from the Golgi and suppression of retrograde transport. At the cell surface, GRP78 binds to and acts in concert with a glycosylphosphatidylinositol-anchored protein, CD109, in blocking TGF-ß signaling by promoting the routing of the TGF-ß receptor to the caveolae, thereby disrupting its binding to and activation of Smad2. Collectively, we uncover a SRC-mediated signaling cascade that leads to the relocalization of ER chaperones to the cell surface and a mechanism whereby GRP78 counteracts the tumor-suppressor effect of TGF-ß.

Gesture encoding in human left precentral gyrus neuronal ensembles.

Understanding the cortical activity patterns driving dexterous upper limb motion has the potential to benefit a broad clinical population living with limited mobility through the development of novel brain-computer interface (BCI) technology. The present study examines the activity of ensembles of motor cortical neurons recorded using microelectrode arrays in the dominant hemisphere of two BrainGate clinical trial participants with cervical spinal cord injury as they attempted to perform a set of 48 different hand gestures. Although each participant displayed a unique organization of their respective neural latent spaces, it was possible to achieve classification accuracies of ~70% for all 48 gestures (and ~90% for sets of 10). Our results show that single unit ensemble activity recorded in a single hemisphere of human precentral gyrus has the potential to generate a wide range of gesture-related signals across both hands, providing an intuitive and diverse set of potential command signals for intracortical BCI use.

Measuring instability in chronic human intracortical neural recordings towards stable, long-term brain-computer interfaces.

Intracortical brain-computer interfaces (iBCIs) enable people with tetraplegia to gain intuitive cursor control from movement intentions. To translate to practical use, iBCIs should provide reliable performance for extended periods of time. However, performance begins to degrade as the relationship between kinematic intention and recorded neural activity shifts compared to when the decoder was initially trained. In addition to developing decoders to better handle long-term instability, identifying when to recalibrate will also optimize performance. We propose a method to measure instability in neural data without needing to label user intentions. Longitudinal data were analyzed from two BrainGate2 participants with tetraplegia as they used fixed decoders to control a computer cursor spanning 142 days and 28 days, respectively. We demonstrate a measure of instability that correlates with changes in closed-loop cursor performance solely based on the recorded neural activity (Pearson r = 0.93 and 0.72, respectively). This result suggests a strategy to infer online iBCI performance from neural data alone and to determine when recalibration should take place for practical long-term use.