The Ion Channels of Endomembranes

The endomembrane system consists of organellar membranes in the biosynthetic pathway: endoplasmic reticulum (ER), Golgi apparatus, and secretory vesicles, as well as those in the degradative pathway: early endosomes, macropinosomes, phagosomes, autophagosomes, late endosomes, and lysosomes. These endomembrane organelles/vesicles work together to synthesize, modify, package, transport, and degrade proteins, carbohydrates, and lipids, regulating the balance between cellular anabolism and catabolism. Large ion concentration gradients exist across endomembranes - Ca2+ gradients for most endomembrane organelles and H+ gradients for the acidic compartments. Ion (Na+, K+, H+, Ca2+, and Cl-) channels on the organellar membranes control ion flux in response to cellular cues, allowing rapid informational exchange between the cytosol and organelle lumen. Recent advances in organelle proteomics, organellar electrophysiology, luminal and juxta-organellar ion imaging have led to molecular identification and functional characterization of about two dozen endomembrane ion channels. For example, whereas IP3R1-3 channels mediate Ca2+ release from the ER in response to neurotransmitter and hormone stimulation, TRPML1-3 and TMEM175 channels mediate lysosomal Ca2+ and H+ release, respectively, in response to nutritional and trafficking cues. This review aims to summarize the current understandings of these endomembrane channels, with a focus on their subcellular localizations, ion permeation properties, gating mechanisms, cell biological functions, and disease relevance.

MAGPIE: accurate pathogenic prediction for multiple variant types using machine learning approach

Identifying pathogenic variants from the vast majority of nucleotide variation remains a challenge. We present a method named Multimodal Annotation Generated Pathogenic Impact Evaluator (MAGPIE) that predicts the pathogenicity of multi-type variants. MAGPIE uses the ClinVar dataset for training and demonstrates superior performance in both the independent test set and multiple orthogonal validation datasets, accurately predicting variant pathogenicity. Notably, MAGPIE performs best in predicting the pathogenicity of rare variants and highly imbalanced datasets. Overall, results underline the robustness of MAGPIE as a valuable tool for predicting pathogenicity in various types of human genome variations. MAGPIE is available at https://github.com/shenlab-genomics/magpie .

Not just protons: Chloride also activates lysosomal acidic hydrolases

Lysosomal hydrolases require an acidic lumen for their optimal activities. In this issue, two independent groups (Wu et al. 2023. J. Cell Biol.https://doi.org/10.1083/jcb.202208155; Zhang et al. 2023. J. Cell. Biol.https://doi.org/10.1083/jcb.202210063) report that hydrolase activation also requires high intralysosomal Cl-, which is established by the lysosomal Cl-/H+ exchanger ClC-7.