Biology subjects

Kelly, J. W.

Publications and source records attributed to Kelly, J. W..

29 records · Page 2Linked to original sources

bioRxiv2023

A Comprehensive Enumeration of the Human Proteostasis Network. 2. Components of the Autophagy-Lysosome Pathway

The condition of having a healthy, functional proteome is known as protein homeostasis, or proteostasis. Establishing and maintaining proteostasis is the province of the proteostasis network, approximately 2,700 components that regulate protein synthesis, folding, localization, and degradation. The proteostasis network is a fundamental entity in biology that is essential for cellular health and has direct relevance to many diseases of protein conformation. However, it is not well defined or annotated, which hinders its functional characterization in health and disease. In this series of manuscripts, we aim to operationally define the human proteostasis network by providing a comprehensive, annotated list of its components. We provided in a previous manuscript a list of chaperones and folding enzymes as well as the components that make up the machineries for protein synthesis, protein trafficking into and out of organelles, and organelle-specific degradation pathways. Here, we provide a curated list of 838 unique high-confidence components of the autophagy-lysosome pathway, one of the two major protein degradation systems in human cells.

bioinformatics↗

bioRxiv2023

Divergent Proteome Reactivity Influences Arm-Selective Activation of Pharmacological Endoplasmic Reticulum Proteostasis Regulators

Pharmacological activation of the activating transcription factor 6 (ATF6) arm of the Unfolded Protein Response (UPR) has proven useful for ameliorating proteostasis deficiencies in a variety of etiologically diverse diseases. Previous high-throughput screening efforts identified the small molecule AA147 as a potent and selective ATF6 activating compound that operates through a mechanism involving metabolic activation of its 2-amino-p-cresol substructure affording a quinone methide, which then covalently modifies a subset of ER protein disulfide isomerases (PDIs). Intriguingly, another compound identified in this screen, AA132, also contains a 2-amino-p-cresol moiety; however, this compound showed less transcriptional selectivity, instead globally activating all three arms of the UPR. Here, we show that AA132 activates global UPR signaling through a mechanism analogous to that of AA147, involving metabolic activation and covalent PDI modification. Chemoproteomic-enabled analyses show that AA132 covalently modifies PDIs to a greater extent than AA147. Paradoxically, activated AA132 reacts slower with PDIs, indicating it is less reactive than activated AA147. This suggests that the higher labeling of PDIs observed with activated AA132 can be attributed to its lower reactivity, which allows this activated compound to persist longer in the cellular environment prior to quenching by endogenous nucleophiles. Collectively, these results suggest that AA132 globally activates the UPR through increased engagement of ER PDIs. Consistent with this, reducing the cellular concentration of AA132 decreases PDI modifications and allows for selective ATF6 activation. Our results highlight the relationship between metabolically activatable-electrophile stability, ER proteome reactivity, and the transcriptional response observed with the enaminone chemotype of ER proteostasis regulators, enabling continued development of next-generation ATF6 activating compounds.

biochemistry↗

bioRxiv2022

A Comprehensive Enumeration of the Human Proteostasis Network. 1. Components of Translation, Protein Folding, and Organelle-Specific Systems

The condition of having a healthy, functional proteome is known as protein homeostasis, or proteostasis. Establishing and maintaining proteostasis is the province of the proteostasis network, approximately 2,500 genes that regulate protein synthesis, folding, localization, and degradation. The proteostasis network is a fundamental entity in biology with direct relevance to many diseases of protein conformation. However, it is not well defined or annotated, which hinders its functional characterization in health and disease. In this series of manuscripts, we aim to operationally define the human proteostasis network by providing a comprehensive, annotated list of its components. Here, we provide a curated list of 959 unique genes that comprise the protein synthesis machinery, chaperones, folding enzymes, systems for trafficking proteins into and out of organelles, and organelle-specific degradation systems. In subsequent manuscripts, we will delineate the human autophagy-lysosome pathway, the ubiquitin-proteasome system, and the proteostasis networks of model organisms.

bioinformatics↗

bioRxiv2022

ATF6 Activation Reduces Amyloidogenic Transthyretin Secretion Through Increased Interactions with Endoplasmic Reticulum Proteostasis Factors

The extracellular aggregation of destabilized transthyretin (TTR) variants is implicated in the onset and pathogenesis of familial TTR-related amyloid diseases. One strategy to reduce toxic, extracellular aggregation of TTR is to decrease the population of aggregation-prone protein secreted from mammalian cells. Stress-independent activation of the unfolded protein response (UPR)-associated transcription factor ATF6 preferentially decreases secretion and subsequent aggregation of destabilized, aggregation-prone TTR variants. However, the mechanism of this reduced secretion was previously undefined. Here, we implement a mass spectrometry-based interactomics approach to identify endoplasmic reticulum (ER) proteostasis factors involved in ATF6-dependent reductions of destabilized TTR secretion. We show that ATF6 activation reduces amyloidogenic TTR secretion and subsequent aggregation through a mechanism involving ER retention that is mediated by increased interactions with ATF6-regulated ER proteostasis factors including BiP and PDIA4. Intriguingly, the PDIA4-dependent retention of TTR is independent of both the single TTR cysteine residue and the redox activity of PDIA4, indicating that PDIA4 retains destabilized TTR in the ER through a redox-independent chaperoning activity. Our results define a mechanistic basis to explain the ATF6 activation-dependent reduction of destabilized, amyloidogenic TTR secretion that could be therapeutically accessed to improve treatments of TTR-related amyloid diseases.

cell biology↗

bioRxiv2022

PERK Signaling Promotes Mitochondrial Elongation By Remodeling Membrane Phosphatidic Acid

Endoplasmic reticulum (ER) stress and mitochondrial dysfunction are linked in the onset and pathogenesis of numerous diseases. This has led to considerable interest in defining the mechanisms responsible for regulating mitochondria during ER stress. The PERK signaling arm of the unfolded protein response (UPR) has emerged as a prominent ER stress-responsive signaling pathway that regulates diverse aspects of mitochondrial biology. Here, we show that PERK activity also promotes adaptive remodeling of mitochondrial membrane phosphatidic acid (PA) to induce protective mitochondrial elongation during ER stress. We find that PERK activity is required for ER stress-dependent increases in both cellular PA and YME1L-dependent degradation of the intramitochondrial PA transporter PRELID1. Together, these processes lead to the accumulation of PA on the outer mitochondrial membrane where it induces mitochondrial elongation by inhibiting mitochondrial fission. Our results establish a new role for PERK in the adaptive remodeling of mitochondrial phospholipids and demonstrate that PERK-dependent PA regulation functions to adapt organellar shape in response to ER stress.

cell biology↗

bioRxiv2020

The Endoplasmic Reticulum Proteostasis Regulator ATF6 is Essential for Human Cone Photoreceptor Development

Dysregulation of the endoplasmic reticulum (ER) Unfolded Protein Response (UPR) is implicated in the pathology of many human diseases associated with ER stress. Inactivating genetic variants in the UPR regulator Activating Transcription Factor 6 (ATF6) cause severe congenital heritable vision loss in patients by an unknown pathomechanism. To investigate this, we generated retinal organoids from patient iPSCs carrying ATF6 disease-causing variants and ATF6 null hESCs generated by CRISPR. Interestingly, we found that cone photoreceptor cells in ATF6 mutant retinal organoids lacked inner and outer segments concomitant with absence of cone phototransduction gene expression; while rod photoreceptors developed normally. Adaptive optics retinal imaging of patients with disease-causing variants in ATF6 also showed absence of cone inner/outer segment structures but preserved rod structures, mirroring the phenotypes observed in our retinal organoids. These results reveal that ATF6 is essential for the formation of human cone photoreceptors, and associated absence of cone phototransduction components explains the severe visual impairment in patients with ATF6 -associated retinopathy. Moreover, we show that a selective small molecule ATF6 activator compound restores the transcriptional activity of ATF6 disease-causing variants and stimulates the growth of cone photoreceptors in patient retinal organoids, demonstrating that pharmacologic targeting of ATF6 signaling is a therapeutic strategy that needs to be further explored for blinding retinal diseases.

developmental biology↗

bioRxiv2020

Small Molecule ER Proteostasis Regulators Reduce Amyloidogenic Immunoglobulin Light Chain Secretion Through an On-Target, ATF6-Independent Mechanism

The plasma cell secretion and toxic aggregation of amyloidogenic immunoglobulin light chains (LCs) causes proteotoxicity in Light Chain Amyloidosis (AL). We recently identified endoplasmic reticulum (ER) proteostasis regulators such as compound 147 that reduce secretion and aggregation of LCs implicated in AL (Plate, Cooley et al., 2016). Compound 147 promotes adaptive ER proteostasis remodeling through a mechanism involving covalent modification of multiple protein disulfide isomerases (PDIs) and subsequent activation of the ATF6 unfolded protein response (UPR) -associated transcriptional signaling pathway (Paxman, Plate et al., 2018). Here, we show that the 147-dependent reduction in amyloidogenic LC secretion from AL patient plasma cells is independent of ATF6 activation, but instead requires on-target PDI modification. Our results reveal pharmacologic targeting of PDIs as a potential strategy to ameliorate AL-associated proteotoxicity and demonstrate that 147 can influence ER proteostasis through multiple on-target mechanisms including ATF6 activation and PDI modification. IMPACT STATEMENTThis study demonstrates the broad potential for endoplasmic reticulum proteostasis regulator compounds such as 147 to influence secretory proteostasis of disease-associated proteins through multiple on target mechanisms.

biochemistry↗

bioRxiv2018

Quantitative Interactome Proteomics Reveals a Molecular Basis for ATF6-Dependent Regulation of a Destabilized Amyloidogenic Protein

Activation of the unfolded protein response (UPR)-associated transcription factor ATF6 has emerged as a promising strategy to selectively reduce the secretion and subsequent toxic aggregation of destabilized, amyloidogenic proteins implicated in diverse systemic amyloid diseases. However, the molecular mechanism by which ATF6 activation reduces the secretion of amyloidogenic proteins remains poorly defined. Here, we establish a quantitative interactomics platform with improved throughput and sensitivity to define how ATF6 activation selectively reduces secretion of a destabilized, amyloidogenic immunoglobulin light chain (LC) associated with Light Chain Amyloidosis (AL). We show that ATF6 activation increases the targeting of this destabilized LC to a select subset of pro-folding ER proteostasis factors that retains the amyloidogenic LC within the ER, preventing its secretion to downstream secretory environments. Our results define a molecular basis for the selective, ATF6-dependent reduction in destabilized LC secretion and highlight the advantage for targeting this endogenous UPR-associated transcription factor to reduce secretion of destabilized, amyloidogenic proteins implicated in AL and related systemic amyloid diseases.

cell biology↗

bioRxiv2018

Crowdsourcing Image Analysis for Plant Phenomics to Generate Ground Truth Data for Machine Learning

The accuracy of machine learning tasks critically depends on high quality ground truth data. Therefore, in many cases, producing good ground truth data typically involves trained professionals; however, this can be costly in time, effort, and money. Here we explore the use of crowdsourcing to generate a large number of training data of good quality. We explore an image analysis task involving the segmentation of corn tassels from images taken in a field setting. We investigate the accuracy, speed and other quality metrics when this task is performed by students for academic credit, Amazon MTurk workers, and Master Amazon MTurk workers. We conclude that the Amazon MTurk and Master Mturk workers perform significantly better than the for-credit students, but with no significant difference between the two MTurk worker types. Furthermore, the quality of the segmentation produced by Amazon MTurk workers rivals that of an expert worker. We provide best practices to assess the quality of ground truth data, and to compare data quality produced by different sources. We conclude that properly managed crowdsourcing can be used to establish large volumes of viable ground truth data at a low cost and high quality, especially in the context of high throughput plant phenotyping. We also provide several metrics for assessing the quality of the generated datasets.\n\nAuthor SummaryFood security is a growing global concern. Farmers, plant breeders, and geneticists are hastening to address the challenges presented to agriculture by climate change, dwindling arable land, and population growth. Scientists in the field of plant phenomics are using satellite and drone images to understand how crops respond to a changing environment and to combine genetics and environmental measures to maximize crop growth efficiency. However, the terabytes of image data require new computational methods to extract useful information. Machine learning algorithms are effective in recognizing select parts of images, but they require high quality data curated by people to train them, a process that can be laborious and costly. We examined how well crowdsourcing works in providing training data for plant phenomics, specifically, segmenting a corn tassel - the male flower of the corn plant - from the often-cluttered images of a cornfield. We provided images to students, and to Amazon MTurkers, the latter being an on-demand workforce brokered by Amazon.com and paid on a task-by-task basis. We report on best practices in crowdsourcing image labeling for phenomics, and compare the different groups on measures such as fatigue and accuracy over time. We find that crowdsourcing is a good way of generating quality labeled data, rivaling that of experts.

plant biology↗

bioRxiv2017

Amyloid accumulation drives proteome-wide alterations in mouse models of Alzheimers disease like pathology

Amyloid beta (A{beta}) peptides impair multiple cellular pathways in the brain and play a causative role in Alzheimers disease (AD) pathology, but how the brain proteome is remodeled during this process is unknown. To identify new protein networks associated with AD-like pathology, we performed global quantitative proteomic analysis in three mouse models at pre- and post-symptomatic ages. Our analysis revealed a robust and consistent increase in Apolipoprotein E (ApoE) levels in nearly all transgenic brain regions with increased A{beta} levels. Taken together with prior findings on ApoE driving A{beta} accumulation, this analysis points to a pathological dysregulation of the ApoE-A{beta} axis. We also found dysregulation of protein networks involved in excitatory synaptic transmission consistent with AD pathophysiology. Targeted analysis of the AMPA receptor complex revealed a specific loss of TARP{gamma}-2, a key AMPA receptor trafficking protein. Expression of TARP{gamma}-2 in vivo in hAPP transgenic mice led to a restoration of AMPA currents. This database of proteome alterations represents a unique resource for the identification of protein alterations responsible for AD.\n\nHighlightsO_LIProteomic analysis of mouse brains with AD-like pathology reveals stark remodeling\nC_LIO_LIProteomic evidence points to a dysregulation of ApoE levels associated with A{beta} clearance rather than production\nC_LIO_LICo-expression analysis found distinctly impaired synapse and mitochondria modules\nC_LIO_LIIn-depth analyses of AMPAR complex points to loss of TARP{gamma}-2, which may compromise synapses in AD\nC_LI\n\neTOC BlurbProteome-wide profiling of brain tissue from three mouse models of AD-like pathology reveals A{beta}, brain region, and age dependent alterations of protein levels. This resource provides a new global protein expression atlas for the Alzheimers disease research community.

neuroscience↗

bioRxiv2017

Translation efficiency is maintained at elevated temperature in E. coli

Cellular protein levels are dictated by the balance between gene transcription, mRNA translation and protein degradation, among other factors. Cells must manage their proteomes during stress; one way in which they may do so, in principle, is by differential translation. We used ribosome profiling to directly monitor translation in E. coli at 30 {degrees}C and investigate how this changes after 10-20 minutes of heat shock at 42 {degrees}C. Translation is controlled by the interplay of several RNA hybridization processes, which are expected to be temperature sensitive. However, translation efficiencies are robustly maintained after thermal heat shock and after mimicking the heat shock response transcriptional program at 30 {degrees}C. Several gene-specific parameters correlated with translation efficiency, including predicted mRNA structure and whether a gene is cotranslationally translocated into the inner membrane. Genome-wide predictions of the temperature dependence of mRNA structure suggest that relatively few genes show a melting transition between 30 {degrees}C and 42 {degrees}C, consistent with our observations. A linear model with five parameters can predict 33% of the variation in translation efficiency between genes, which may be useful in interpreting transcriptome data.

biochemistry↗