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Reed, G.

Publications and source records attributed to Reed, G..

3 recordsLinked to original sources

GlRac Regulates a Noncanonical, ATG8-Independent Autophagy-Like Pathway in Giardia lamblia

Autophagy is a conserved catabolic process essential for cellular homeostasis and adaptation to nutrient stress. The protozoan parasite Giardia lamblia lacks most canonical autophagy-related (ATG) genes, including the hallmark ATG8, raising longstanding questions about whether this deeply divergent parasite can perform autophagy. Here, we identify an ATG8-independent autophagy-like pathway in Giardia regulated by GlRac, the parasites sole Rho family GTPase. GlRac-positive double-membrane compartments are induced by encystation and nutrient depletion, and their abundance rapidly declines following amino acid replenishment but is unaffected by glucose, indicating amino acid-specific regulation. Giardia Target of Rapamycin (GTOR) levels decrease during nutrient depletion, and GTOR knockdown increases compartment abundance, identifying GTOR as a negative regulator of compartment formation and linking this pathway to nutrient sensing. Time-lapse microscopy revealed that these compartments form through linear and cup-shaped intermediates before becoming spherical and are subsequently cleared upon nutrient replenishment. Of nine putative ATG orthologs examined, none localized as specifically as GlRac to these structures, supporting the existence of a highly divergent pathway. Nevertheless, the compartments exhibit multiple conserved autophagy-associated features, including double-membrane morphology, actin recruitment, acidification, and cysteine protease activity. Pharmacological inhibition of cysteine proteases with E-64d or of V-ATPase-mediated acidification with concanamycin A promotes compartment accumulation, consistent with continuous degradative turnover. GlRac regulates compartment biogenesis bidirectionally: constitutive activation increases compartment abundance and size, whereas knockdown reduces them. Finally, quinacrine, an FDA-approved antigiardial drug that accumulates in acidic organelles, perturbs GlRac-positive compartments, consistent with its reported effects on autophagy in other eukaryotes, raising the possibility that this pathway contributes to parasite fitness. Together, these findings establish GlRac as a central regulator of an ATG8-independent autophagy-like pathway in Giardia and demonstrate that this parasite retains key structural, regulatory, and degradation-associated features of autophagy despite the apparent absence of most canonical ATG machinery. Author SummaryAutophagy is a conserved cellular process that helps cells adapt to nutrient limitation by remodeling and degrading their own components. The intestinal parasite Giardia lamblia, which causes widespread diarrheal disease, lacks recognizable homologs of most genes associated with canonical autophagy, raising the question of whether this highly divergent parasite can perform the process at all. We found that Giardia forms previously uncharacterized membrane-bound compartments in response to nutrient depletion and during differentiation into its infectious cyst stage. These compartments share key features associated with autophagosomes, including double membranes, acidification, and enzymes involved in protein degradation. We also identified a regulatory protein called GlRac as a central regulator of these compartments. Similar proteins regulate autophagy in plants, fungi, and animals, suggesting that this regulatory mechanism is broadly conserved across eukaryotes. Finally, quinacrine, a drug historically used to treat giardiasis, promotes the accumulation of these compartments, consistent with its reported effects on autophagy in other eukaryotes. Together, our findings reveal that Giardia retains a highly divergent autophagy-like pathway despite the apparent absence of much of the recognizable canonical autophagy machinery, providing new insight into the evolution of autophagy and the cell biology of this important human pathogen.

cell biology↗

Distinguishing Closely Related Pancreatic Cancer Subtypes In Vivo by 13C Glucose MRI without Hyperpolarization

Metabolic differences between patients and within the tumor itself can be an important determinant in cancer treatment outcome. However, methods for determining these differences non-invasively in vivo have been lacking. Using pancreatic ductal adenocarcinoma as a model, we demonstrate that tumor xenografts with a similar genetic background can be distinguished by their differing rates of metabolism, as detected by imaging of uniformly 13C labeled glucose tracers using a newly developed technique using tensor decomposition for noise suppression to bring the signal to a detectable level without hyperpolarization of the tracer. Using this method, cancer subtypes that appeared to exhibit similar metabolic profiles by other techniques that measured steady state metabolism can be distinguished.

cancer biology↗

PET by MRI: Glucose Imaging by 13C-MRS without Dynamic Nuclear Polarization by Noise Suppression through Tensor Decomposition Rank Reduction

Metabolic reprogramming is one of the defining features of cancer and abnormal metabolism is associated with many other pathologies. Molecular imaging techniques capable of detecting such changes have become essential for cancer diagnosis, treatment planning, and surveillance. In particular, 18F-FDG (fluorodeoxyglucose) PET has emerged as an essential imaging modality for cancer because of its unique ability to detect a disturbed molecular pathway through measurements of glucose uptake. However, FDG-PET has limitations that restrict its usefulness in certain situations and the information gained is limited to glucose uptake only. 13C magnetic resonance spectroscopy theoretically has certain advantages over FDG-PET, but its inherent low sensitivity has restricted its use mostly to single voxel measurements. We show here a new method of imaging glucose metabolism in vivo that relies on a simple, but robust and efficient, post-processing procedure by the higher dimensional analog of singular value decomposition, tensor decomposition. Using this procedure, we achieve an order of magnitude increase in signal to noise in both dDNP and non-hyperpolarized non-localized experiments without sacrificing accuracy. In CSI experiments an approximately 30-fold increase was observed, enough that the glucose to lactate conversion indicative of the Warburg effect can be imaged without hyper-polarization with a time resolution of 12 s and an overall spatial resolution that compares favorably to 18F-FDG PET.

cancer biology↗