Small GTPase Rab17 has been shown to regulate a wide range of physiological processes including cell migration in tumor cells and dendrite morphogenesis in neurons. However, molecular mechanism underlying Rab17-mediated intracellular trafficking is still unclear. To address this issue, we focused on Rab17-interacting protein ALS2, which was also known as a guanine nucleotide exchange factor (GEF) for Rab5, and investigated how ALS2 contributed to Rab17-associated membrane trafficking in cells. Rab17 was primarily localized to endosomal compartments, particularly to recycling endosomes, which was dependent on Rab11 expression. Upon Rac1 activation, Rab17 along with ALS2 was recruited to membrane ruffles and early endosomes in a Rab5 activity-independent manner. While RABGEF1, another Rab17-interacting Rab5 GEF, functioned as a GEF for Rab17, ALS2 did not possess such catalytic activity but merely interacted with Rab17. Importantly, ALS2 acted downstream of RABGEF1, regulating the maturation of Rab17-residing nascent endosomes to early endosome antigen 1 (EEA1)-positive early endosomes. Further, these Rab17-residing nascent endosomes were arisen via clathrin-independent endocytosis (CIE). Collectively, ALS2 plays a crucial role in the regulation of Rab17-associated endosomal trafficking and maturation, probably through their physical interaction, in cells.

Hematopoietic homeostasis requires the maintenance of a reservoir of undifferentiated blood cell progenitors and the ability to replace or expand differentiated blood cell lineages when necessary. Multiple signaling pathways function in these processes, but how their spatiotemporal control is established and their activity is coordinated in the context of the entire hematopoietic network are still poorly understood. We report here that loss of the gene Rabex-5 in Drosophila causes several hematopoietic abnormalities, including blood cell (hemocyte) overproliferation, increased size of the hematopoietic organ (the lymph gland), lamellocyte differentiation and melanotic mass formation. Hemocyte-specific Rabex-5 knockdown was sufficient to increase hemocyte populations, increase lymph gland size and induce melanotic masses. Rabex-5 negatively regulates Ras, and we show that Ras activity is responsible for specific Rabex-5 hematopoietic phenotypes. Surprisingly, Ras-independent Notch protein accumulation and transcriptional activity in the lymph gland underlie multiple distinct hematopoietic phenotypes of Rabex-5 loss. Thus, Rabex-5 plays an important role in Drosophila hematopoiesis and might serve as an axis coordinating Ras and Notch signaling in the lymph gland.

Late-onset Alzheimer\'s disease (LOAD) is a complex and multifactorial disease. So far ten loci have been identified for LOAD, including APOE, PICALM, CLU, BIN1, CD2AP, CR1, CD33, EPHA1, ABCA7, and MS4A4A/MS4A6E, but they explain about 50% of the genetic risk and thus additional risk genes need to be identified. Amyloid beta (Aβ) plaques develop in the brains of LOAD patients and are considered to be a pathological hallmark of this disease. Recently 12 new Aβ toxicity modifier genes (ADSSL1, PICALM, SH3KBP1, XRN1, SNX8, PPP2R5C, FBXL2, MAP2K4, SYNJ1, RABGEF1, POMT2, and XPO1) have been identified that potentially play a role in LOAD risk. In this study, we have examined the association of 222 SNPs in these 12 candidate genes with LOAD risk in 1291 LOAD cases and 958 cognitively normal controls. Single site and haplotype analyses were performed using PLINK. Following adjustment for APOE genotype, age, sex, and principal components, we found single nucleotide polymorphisms (SNPs) in PPP2R5C, PICALM, SH3KBP1, XRN1, and SNX8 that showed significant association with risk of LOAD. The top SNP was located in intron 3 of PPP2R5C (P=0.009017), followed by an intron 19 SNP in PICALM (P=0.0102). Haplotype analysis revealed significant associations in ADSSL1, PICALM, PPP2R5C, SNX8, and SH3KBP1 genes. Our data indicate that genetic variation in these new candidate genes affects the risk of LOAD. Further investigation of these genes, including additional replication in other case-control samples and functional studies to elucidate the pathways by which they affect Aβ, are necessary to determine the degree of involvement these genes have for LOAD risk.