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CHOP is a non-ER localized transcription factor that is induced by a variety of adverse physiological conditions including ER stress. Accumulation of unfolded proteins in the ER activates an unfolded protein response pathway that targets both ER resident chaperones (e.g. BiP) and CHOP. Hence, it is unclear if CHOP induction during ER stress occurs through(More)
Nearly all resident proteins of the organelles along the secretory pathway, as well as proteins that are expressed at the cell surface or secreted from the cell, are first co-translationally translocated into the lumen of the endoplasmic reticulum (ER) as unfolded polypeptide chains. Immediately after entering the ER, they are often modified with N-linked(More)
Having accumulated mutations that overcome cell-cycle and apoptotic checkpoints, the main obstacle to survival faced by a cancer cell is the restricted supply of nutrients and oxygen. These conditions impinge on protein folding in the endoplasmic reticulum and activate a largely cytoprotective signalling pathway called the unfolded protein response.(More)
Endoplasmic reticulum stress-mediated apoptosis may play an important role in the destruction of pancreatic beta-cells, thus contributing to the development of type 1 and type 2 diabetes. One of the regulators of endoplasmic reticulum stress-mediated cell death is the CCAAT/enhancer binding protein (C/EBP) homologous protein (Chop). We presently studied the(More)
The mammalian unfolded protein response (UPR) includes two major branches: one(s) specific to ER stress (Ire1/XBP-1 and ATF6-dependent), and one(s) shared by other cellular stresses (PERK/eIF-2alpha phosphorylation-dependent). Here, we demonstrate that the ER-localized protein Herp represents a second target, in addition to CHOP, that is dually regulated by(More)
Fine particulate matter (PM₂.₅) is not a criteria pollutant in China, and few studies were conducted in the country to investigate the health impact of PM₂.₅. In this study, we did a time-stratified case-crossover analysis to examine the association between PM₂.₅ and daily mortality in Shenyang, an industrial center in northeast China. Daily mortality, air(More)
We present a discriminative learning method to improve the consistency of translations in phrase-based Statistical Machine Translation (SMT) systems. Our method is inspired by Translation Memory (TM) systems which are widely used by human translators in industrial settings. We constrain the translation of an input sentence using the most similar(More)