Biology subjects

Elias, J. E.

Publications and source records attributed to Elias, J. E..

At least 19 recordsLinked to original sources

bioRxiv2026

Arrayed hydrogels pair whole-cell imaging with single-cell mass spectrometry proteomics

Multimodal single-cell analysis aims to elucidate cellular-level phenotype within heterogeneous cell populations. Advancements in single-cell proteomics (SCP) seek to deepen quantitative depth, coverage, and reproducibility for a robust view of functional cell state. However, broadly accessible multimodal approaches are poised to benefit from sample-preparation advancements upstream of the mass spectrometer. Here, we introduce ProteoParcel, a multimodal SCP platform for indexing upstream widefield single-cell images to downstream label-free, bottom-up proteomics. Parcels are spatially arrayed planar polyacrylamide gels patterned with microwells. Each parcel, containing one microwell and an abutting gel region, is designed to integrate the single-cell imaging and SCP analysis modes. First, for whole-cell imaging, each microwell isolates an intact, individual breast cancer cell (MCF-7). After imaging, cells are subjected to in-microwell chemical cell lysis, electro-injection of whole-cell lysate from the microwell into the abutting gel region, in-gel chemical fixation, and finally in-gel tryptic digestion prior to peptide extraction for SCP. Location-indexed parcels are independently releasable to confer single-cell resolution to downstream mass spectrometry. To ensure SCP-suitable proteome solubilization and trypsin/Lys-C digestion, we optimize cell lysis, electrophoresis, and gel pre-equilibration conditions within the gel. Using ProteoParcel, we identify over 1,400 protein species from single, imaged MCF-7 cells. Scrutiny of the gel preparation conditions confirms that hydrogel-lysate interactions introduce predictable, physicochemically interpretable (cell membrane, hydrophobicity) detection biases, while broad functional-class composition and subcellular compartment coverage are preserved when benchmarked to in-solution digestion. ProteoParcel makes facile same-cell multimodal SCP and live-cell imaging.

bioengineering↗

bioRxiv2026

Cell enlargement drives aging-associated proteome remodeling and shortens replicative lifespan

The molecular and cellular basis of aging and its associated functional decline remains poorly understood. Even free-living microorganisms age and, in yeast, replicative aging shares key hallmarks with human cellular senescence, including progressive cell enlargement. Recent work has shown that chemical and genetic manipulations that increase cell size promote the onset of senescence in both yeast and human cells, suggesting that cell enlargement can drive some of the physiological changes associated with aging. Here, we quantitatively determined how cell enlargement contributes to age-associated physiology in yeast by combining automated aging technologies with quantitative proteomics. We find that the majority of aging-associated proteome remodeling can be recapitulated by genetically enlarging young proliferating cells. These enlarged cells exhibit accelerated proteome aging and shortened replicative lifespans, while smaller cells are longer-lived. While cell enlargement is the predominant factor driving proteome remodeling during aging, we also identified a minority of aging-specific molecular markers whose expression influences lifespan. Together, our results demonstrate that cell enlargement is a major driver of aging-associated proteome remodeling and influences lifespan independently of established aging factors such as extrachromosomal rDNA circles.

cell biology↗

bioRxiv2025

Optogenetic Proximity Labeling Maps Spatially Resolved Mitochondrial Surface Proteomes and a Locally Regulated Ribosome Pool

Outer mitochondrial membranes (OMM) function as dynamic hubs for inter-organelle communication, integrating bidirectional signals, and coordinating organelle behavior in a context-dependent manner. However, tools for mapping mitochondrial surface proteomes with high spatial and temporal resolution remain limited. Here, we introduce an optogenetic proximity labeling strategy using LOV-Turbo, a light-activated biotin ligase, to profile mitochondrial surface proteomes with improved precision, temporal control, and reduced background. By fusing LOV-Turbo to a panel of variants of an OMM-anchored protein, Miro1, we generate spatially distinct baits that resolve modular architectures and regulatory states of the OMM proteomes across diverse conditions, a database we name MitoSurf. Building on this proteomic map, we present RiboLOOM, a platform that defines LOV-Turbo labeled ribosomes and their bound mRNAs at the mitochondrial surface. MitoSurf and RiboLOOM uncover a spatially distinct ribosome pool at the OMM that is maintained by Miro1, enabling local mRNA engagement and translation of mitochondria-related proteins. These findings establish Miro1 as a key organizer of mitochondrial protein biogenesis through spatial confinement of surface-associated ribosomes. Our platform reveals an uncharted layer of mitochondrial surface biology and provides a generalizable strategy to dissect dynamic RNA-protein-organelle interfaces in living cells.

cell biology↗

bioRxiv2025

Cell size-dependent mRNA transcription drives proteome remodeling

Increasing cell size drives proteomic changes that impact cell physiology. However, the molecular basis of size-dependent proteome remodeling has remained unclear. Here, we develop an inducible Cyclin D1 expression system in human cells to generate populations of proliferating cells spanning over a two-fold size range. We use this genetic system to make comprehensive genome-wide measurements of mRNA and protein concentrations and stability. We find that protein and mRNA turnover rates are weakly related to cell size, but that mRNA concentrations are strongly size-dependent. This establishes that transcriptional regulation is the basis of proteome remodeling. Live-cell imaging of endogenous mRNAs using MS2 fluorescent protein binding motifs is used to measure how transcriptional dynamics change with cell size. Larger cells prolong transcriptional bursts and shorten inactive periods between bursts but maintain similar burst amplitudes to achieve transcriptional scaling. Taken together, our results show how transcription is modulated by cell size to remodel the proteome and alter cell physiology.

cell biology↗

bioRxiv2025

Replicating without stress: a dengue replicon model reveals distinct host rewiring to accommodate persistence

Self-replicating viral RNAs, or replicons, are widely used to study virus-host interactions and screen antiviral compounds, yet their ability to model persistent infection and host adaptation remains poorly understood. Here, we characterize a stable subgenomic dengue virus serotype 2 (DENV2) replicon (DENV2-rep) that supports long-term viral RNA replication in human hepatoma cells without triggering cytotoxicity or canonical stress responses. Compared to live DENV2 infection, which induces ER stress and global translation shutdown, DENV2-rep cells maintain active translation and polysome integrity, while mounting an antiviral transcriptional response and resisting superinfection. Transcriptomic and proteomic profiling reveals that DENV2-rep cells accommodate long-term replication by remodeling of metabolic, secretory, and cytoskeletal pathways. In contrast, acute infection uncouples transcription from protein synthesis, limiting host proteome remodeling. We also detected marked depletion of the NS5 RNA polymerase in the DENV2-rep context. Together, these findings highlight host pathways that can be rewired to support persistent RNA replication and uncover post-translational regulation of viral proteins as a potential vulnerability. Our work clarifies the strengths and limitations of replicons as models for infection and reveals how persistent vRNA replication is tolerated through selective remodeling of translation, organelle composition, and protein stability.

microbiology↗

bioRxiv2025

ADAR1 Restricts Poliovirus Infection through dual disruption of translation initiation and protein coding

Viral RNAs (vRNAs) interact with hundreds of host proteins, but how these interactions shape viral infection remains largely unknown. Here we developed a mass-spectrometry approach to identify cellular RNA-binding proteins (RBPs) that enhance or inhibit infection by modulating vRNA translation. We identified 130 RBPs that associate with polysomes in human cells infected with poliovirus, including known regulators of cap-independent translation from the viral internal ribosome entry site (IRES). We find that adenosine deaminase acting on RNA (ADAR1) is recruited to polysomes during infection and edits 3 sites in the vRNA, reducing viral replication. Two edits occur in the IRES and impair internal translation initiation, while the third edit occurs in the coding region and triggers an amino acid substitution. Incorporation of this threonine-to-alanine mutation into the viral genome attenuated replication. We conclude that ADAR1 restricts poliovirus infection by both reducing vRNA translation and introducing a recurrent coding error.

cell biology↗

bioRxiv2024

Circadian rhythms mediate malaria transmission potential

Malaria transmission begins when infected female Anopheles mosquitos deposit Plasmodium parasites into the mammalian hosts skin during a bloodmeal. The salivary gland-resident sporozoite parasites migrate to the bloodstream, subsequently invading and replicating within hepatocytes. As Anopheles mosquitos are more active at night, with a 24-hour rhythm, we investigated whether their salivary glands are under circadian control, anticipating bloodmeals and modulating sporozoite biology for host encounters. Here we show that approximately half of the mosquito salivary gland transcriptome, particularly genes essential for efficient bloodmeals such as anti-blood clotting factors, exhibits circadian rhythmic expression. Furthermore, we demonstrate that mosquitoes prefer to feed during nighttime, with the amount of blood ingested varying cyclically throughout the day. Notably, we show a substantial subset of the sporozoite transcriptome cycling throughout the day. These include genes involved in parasite motility, potentially modulating the ability to initiate infection at different times of day. Thus, although sporozoites are typically considered quiescent, our results demonstrate their transcriptional activity, revealing robust daily rhythms of gene expression. Our findings suggest a circadian evolutionary relationship between the vector, parasite and mammalian host that together modulate malaria transmission.

microbiology↗

bioRxiv2024

Rapid QC-MS - Interactive Dashboard for Synchronous Mass Spectrometry Data Acquisition Quality Control

Consistently collecting high-quality liquid chromatography-coupled tandem mass spectrometry (LC-MS/MS) data is a time-consuming hurdle for untargeted workflows. Analytical controls such as internal and biological standards are commonly included in high throughput workflows, helping researchers recognize low integrity specimens regardless of their biological source. However, evaluating these standards as data are collected has remained a considerable bottleneck - in both person-hours and accuracy. Here we present Rapid QC-MS, an automated, interactive dashboard for assessing LC-MS/MS data quality. Minutes after a new data file is written, a browser-viewable dashboard is updated with quality control results spanning multiple performance dimensions such as instrument sensitivity, in-run retention time shifts, and mass accuracy drift. Rapid QC-MS provides interactive visualizations that help users recognize acute deviations in these performance metrics, as well as gradual drifts over periods of hours, days, months, or years. Rapid QC-MS is open-source, simple to install, and highly configurable. By integrating open-source python libraries and widely used MS analysis software, it can adapt to any LC-MS/MS workflow. Rapid QC-MS runs locally and offers optional remote quality control by syncing with Google Drive. Furthermore, Rapid QC-MS can operate in a semi-autonomous fashion, alerting users to specimens with potentially poor analytical integrity via frequently used messaging applications. Rapid QC-MS offers a fast, straightforward approach to help users collect high-quality untargeted LC-MS/MS data by eliminating many of the most time-consuming steps in manual data curation. Download for free: https://github.com/czbiohub-sf/Rapid-QC-MS O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=96 SRC="FIGDIR/small/578059v2_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@50d2b1org.highwire.dtl.DTLVardef@388373org.highwire.dtl.DTLVardef@3e31b5org.highwire.dtl.DTLVardef@1316c74_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2024

Spatio-temporal analysis of Vaccinia virus infection and host response dynamics using single-cell transcriptomics and proteomics

Poxviruses are a large group of DNA viruses with exclusively cytoplasmic life cycles and complex gene expression programs. A number of systems-level studies have analyzed bulk transcriptome and proteome changes upon poxvirus infection, but the cell-to-cell heterogeneity of the transcriptomic response, and the subcellular resolution of proteomic changes have remained unexplored. Here, we measured single-cell transcriptomes of Vaccinia virus-infected populations of HeLa cells and immortalized human fibroblasts, resolving the cell-to-cell heterogeneity of infection dynamics and host responses within those cell populations. We further integrated our transcriptomic data with changes in the levels and subcellular localization of the host and viral proteome throughout the course of Vaccinia virus infection. Our findings from single-cell RNA sequencing indicate conserved transcriptome changes independent of the cellular context, including widespread host shutoff, heightened expression of cellular transcripts implicated in stress responses, the rapid accumulation of viral transcripts, and the robust activation of antiviral pathways in bystander cells. While most host factors were co-regulated at the RNA and protein level, we identified a subset of factors where transcript and protein levels were discordant in infected cells; predominantly factors involved in transcriptional and post-transcriptional mRNA regulation. In addition, we detected the relocalization of several host proteins such as TENT4A, NLRC5, and TRIM5, to different cellular compartments in infected cells. Collectively, our comprehensive data provide spatial and temporal resolution of the cellular and viral transcriptomes and proteomes and offer a robust foundation for in-depth exploration of virus-host interactions in poxvirus-infected cells.

microbiology↗

bioRxiv2023

Global organelle profiling reveals subcellular localization and remodeling at proteome scale

Defining the subcellular distribution of all human proteins and its remodeling across cellular states remains a central goal in cell biology. Here, we present a high-resolution strategy to map subcellular organization using organelle immuno-capture coupled to mass spectrometry. We apply this proteomics workflow to a cell-wide collection of membranous and membrane-less compartments. A graph-based representation of our data reveals the subcellular localization of over 7,600 proteins, defines spatial protein networks, and uncovers interconnections between cellular compartments. We demonstrate that our approach can be deployed to comprehensively profile proteome remodeling during cellular perturbation. By characterizing the cellular landscape following hCoV-OC43 viral infection, we discover that many proteins are regulated by changes in their spatial distribution rather than by changes in their total abundance. Our results establish that proteome-wide analysis of subcellular remodeling provides essential insights for the elucidation of cellular responses. Our dataset can be explored at organelles.czbiohub.org.

cell biology↗

bioRxiv2023

Genome dilution by cell growth drives starvation-like proteome remodeling in mammalian and yeast cells

Cell size is tightly controlled in healthy tissues and single-celled organisms, but it remains unclear how size influences cell physiology. Increasing cell size was recently shown to remodel the proteomes of cultured human cells, demonstrating that large and small cells of the same type can be biochemically different. Here, we corroborate these results in mouse hepatocytes and extend our analysis using yeast. We find that size-dependent proteome changes are highly conserved and mostly independent of metabolic state. As eukaryotic cells grow larger, the dilution of the genome elicits a starvation-like proteome phenotype, suggesting that growth in large cells is limited by the genome in a manner analogous to a limiting nutrient. We also find that this phenomenon explains many proteomic changes ascribed to yeast aging. Overall, our data suggest that genome concentration is a universal determinant of proteome content in growing cells.

cell biology↗

bioRxiv2023

Metabolomic rearrangement controls the intrinsic microbial response to temperature changes

Temperature is one of the key determinants of microbial behavior and survival, whose impact is typically studied under heat- or cold-shock conditions that elicit specific regulation to combat lethal stress. At intermediate temperatures, cellular growth rate varies according to the Arrhenius law of thermodynamics without stress responses, a behavior whose origins have not yet been elucidated. Using single-cell microscopy during temperature perturbations, we show that bacteria exhibit a highly conserved, gradual response to temperature upshifts with a time scale of [~]1.5 doublings at the higher temperature, regardless of initial/final temperature or nutrient source. We find that this behavior is coupled to a temperature memory, which we rule out as being neither transcriptional, translational, nor membrane dependent. Instead, we demonstrate that an autocatalytic enzyme network incorporating temperature-sensitive Michaelis-Menten kinetics recapitulates all temperature-shift dynamics through metabolome rearrangement, which encodes a temperature memory and successfully predicts alterations in the upshift response observed under simple-sugar, low-nutrient conditions, and in fungi. This model also provides a mechanistic framework for both Arrhenius-dependent growth and the classical Monod Equation through temperature-dependent metabolite flux.

cell biology↗

bioRxiv2022

Cell size contributes to single-cell proteome variation

Accurate measurements of the molecular composition of single cells will be necessary for understanding the relationship between gene expression and function in diverse cell types. One of the most important phenotypes that differs between cells is their size, which was recently shown to be an important determinant of proteome composition in populations of similarly sized cells. We therefore sought to test if the effects of cell size on protein concentrations were also evident in single cell proteomics data. Using the relative concentrations of a set of reference proteins to estimate a cells DNA-to-cell volume ratio, we found that differences in cell size explain a significant amount of cell-to-cell variance in two published single cell proteome datasets.

cell biology↗

bioRxiv2021

Tuning DO:DM ratios modulates MHC class II immunopeptidomes

Major histocompatibility complex class II (MHC-II) antigen presentation underlies a wide range of immune responses in health and disease. However, how MHC-II antigen presentation is regulated by the peptide-loading catalyst HLA-DM (DM), its associated modulator, HLA-DO (DO), is incompletely understood. This is due largely to technical limitations: model antigen presenting cell (APC) systems that express these MHC-II peptidome regulators at physiologically variable levels have not been described. Likewise, computational prediction tools that account for DO and DM activities are not presently available. To address these gaps, we created a panel of single MHC-II allele, HLA-DR4-expressing APC lines that cover a wide range of DO:DM ratio states. Using a combined immunopeptidomic and proteomic discovery strategy, we measured the effects DO:DM ratios have on peptide presentation by surveying over 10,000 unique DR4-presented peptides. The resulting data provide insight into peptide characteristics that influence their presentation with increasing DO:DM ratios. These include DM-sensitivity, peptide abundance, binding affinity and motif, peptide length and register positioning on the source protein. These findings have implications for designing improved HLA-II prediction algorithms and research strategies for dissecting the variety of functions that different APCs serve in the body. IN BRIEFPeptides presented by MHC-II are critical to adaptive immune function. The non-canonical MHC molecules HLA-DM and HLA-DO cooperatively regulate MHC-II function, but how varied DO-to-DM ratios across different APCs and cellular contexts might influence their immunopeptide repertoires is unclear. We address this by measuring cell lines expressing these two proteins spanning a range of relative abundances. We found that peptides could be categorized according to how robustly they were presented at different DO:DM ratios. Importantly, this presentation was only partially linked to predicted affinity to the MHC-II molecule. HIGHLIGHTSO_LIDescribe MHC-class II peptide repertoires from a unique HLA-DR4 cell line panel with increasing DO:DM ratios. C_LIO_LIDemonstrate striking and divergent changes in MHC-II immunopeptidomes that result from the tuning function of DO:DM. C_LIO_LIThese findings bridge gap in understanding and predicting MHC-II antigen presentation. C_LI GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=142 SRC="FIGDIR/small/463141v1_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@c5038forg.highwire.dtl.DTLVardef@6ce147org.highwire.dtl.DTLVardef@3a32e7org.highwire.dtl.DTLVardef@e3e50a_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2021

mTOR controls neurotoxic lysosome exocytosis in inflammatory reactive astrocytes

Astrocytes respond and contribute to neuroinflammation by adopting inflammatory reactive states. Although recent efforts have characterized the gene expression signatures associated with these reactive states, the cell biology underlying inflammatory reactive astrocyte phenotypes remains under-explored. Here, we used CRISPR-based screening in human iPSC-derived astrocytes to identify mTOR activation a driver of cytokine-induced endolysosomal system remodeling, manifesting as alkalinization of endolysosomal compartments, decreased autophagic flux, and increased exocytosis of certain endolysosomal cargos. Through endolysosomal proteomics, we identified and focused on one such cargo - IL-32, a disease-associated pro-inflammatory cytokine not present in rodents, whose secretion mechanism is not well understood. We found that IL-32 was partially secreted in extracellular vesicles likely to be exosomes. Furthermore, we found that IL-32 was involved in the polarization of inflammatory reactive astrocyte states, was upregulated in astrocytes in multiple sclerosis lesions, and preferentially co-localized with astrocytes in hypoxic-ischemic encephalopathy. We believe that our results advance our understanding of cell biological pathways underlying inflammatory reactive astrocyte phenotypes and identify potential therapeutic targets.

cell biology↗

bioRxiv2021

Increasing cell size remodels the proteome and promotes senescence

Cell size is tightly controlled in healthy tissues, but it is poorly understood how variations in cell size affect cell physiology. To address this, we employed a high-accuracy mass spectrometry-based approach to measure how the proteome changes with cell size. Protein concentration changes are widespread, measurable in both asynchronous and G1-arrested cell populations, and predicted by subcellular localization, size-dependent changes in mRNA concentrations, and protein turnover. As proliferating cells grow larger, protein concentration changes typically associated with cellular senescence are increasingly pronounced. This suggests that large size is a cause rather than just a consequence of cell senescence. Consistent with this hypothesis, larger cells are prone to replicative, DNA damage-, and CDK4/6i-induced senescence. Size-dependent changes to the proteome, including those associated with senescence, are not observed when an increase in cell size is accompanied by a similar increase in ploidy. This shows that proteome composition is determined by the DNA-to-ploidy ratio rather than cell size per se and that polyploidization is an elegant method to generate large non-senescent cells as is commonly found in nature. Together, our findings show how cell size could impact many aspects of cell physiology through remodeling the proteome, thereby providing a rationale for cell size control and polyploidization.

cell biology↗

bioRxiv2021

An efficient urine peptidomics workflow identifies chemically defined dietary gluten peptides from patients with celiac disease

Celiac disease (CeD) is an autoimmune disorder induced by consuming gluten proteins from wheat, barley, and rye. Glutens resist gastrointestinal proteolysis, resulting in peptides that elicit inflammation in patients with CeD. Despite well-established connections between glutens and CeD, chemically defined, bioavailable peptides produced from dietary proteins have never been identified from humans in an unbiased manner. This is largely attributable to technical challenges, impeding our knowledge of potentially diverse peptide species that encounter the immune system. Here, we developed a novel liquid chromatographic-mass spectrometric workflow for untargeted sequence analysis of the urinary peptidome. We detected 679 distinct dietary peptides, of which ~35% have a CeD-relevant T cell epitope and ~5% are known to stimulate innate immune responses. Remarkably, gluten peptides from patients with CeD qualitatively and quantitatively differ from controls. Our results provide a new foundation for understanding gluten immunogenicity, improving CeD management, and characterizing the dietary and urinary peptidomes.

biochemistry↗

bioRxiv2020

Starvation induces shrinkage of the bacterial cytoplasm

Environmental fluctuations are a common challenge for single-celled organisms; enteric bacteria such as Escherichia coli experience dramatic changes in nutrient availability, pH, and temperature during their journey into and out of the host. While the effects of altered nutrient availability on gene expression and protein synthesis are well known, their impacts on cytoplasmic dynamics and cell morphology have been largely overlooked. Here, we discover that depletion of utilizable nutrients results in shrinkage of E. colis inner membrane from the cell wall. Shrinkage was accompanied by a [~]17% reduction in cytoplasmic volume and a concurrent increase in periplasmic volume. Inner membrane retraction occurred almost exclusively at the new cell pole. This phenomenon was distinct from turgor-mediated plasmolysis and independent of new transcription, translation, or canonical starvation-sensing pathways. Cytoplasmic dry-mass density increased during shrinkage, suggesting that it is driven primarily by loss of water. Shrinkage was reversible: upon a shift to nutrient-rich medium, expansion started almost immediately at a rate dependent on carbon-source quality. Robust recovery from starvation required the Tol-Pal system, highlighting the importance of envelope coupling during recovery. Klebsiella pneumoniae also exhibited shrinkage when shifted to carbon-free conditions, suggesting a conserved phenomenon. These findings demonstrate that even when Gram-negative bacterial growth is arrested, cell morphology and physiology are still dynamic. Significance statementBacterial cells constantly face nutrient fluctuations in their natural environments. While previous studies have identified gene expression changes upon nutrient depletion, it is much less well known how cellular morphology and cytoplasmic properties respond to shifts in nutrient availability. Here, we discovered that switching fast-growing Escherichia coli cells to nutrient-free conditions results in substantial shrinkage of the inner membrane away from the cell wall, especially at the new pole. Shrinkage was primarily driven by loss of cytoplasmic water contents. Shrinkage was also exhibited by cells naturally entering stationary phase, highlighting its biological relevance across starvation conditions. The membrane-spanning Tol-Pal system was critical for robust entry into and recovery from shrinkage, indicating the importance of cell-envelope homeostasis in surviving nutrient starvation.

microbiology↗