Cell size homeostasis is tightly controlled throughout the cell cycle

Colony context and size-dependent compensation mechanisms give rise to variations in nuclear growth trajectories

To investigate how cellular variations arise across spatiotemporal scales in a population of identical healthy cells, we performed a data-driven analysis of nuclear growth variations in hiPS cell colonies as a model system. We generated a 3D timelapse dataset of thousands of nuclei over multiple days and developed open-source tools for image and data analysis and feature-based timelapse data exploration. Together, these data, tools, and workflows comprise a framework for systematic quantitative analysis of dynamics at individual and population levels, and the analysis further highlights important aspects to consider when interpreting timelapse data. We found that individual nuclear volume growth trajectories arise from short-timescale variations attributable to their spatiotemporal context within the colony. We identified a time-invariant volume compensation relationship between nuclear growth duration and starting volume across the population. Notably, we discovered that inheritance plays a crucial role in determining these two key nuclear growth features while other growth features are determined by their spatiotemporal context and are not inherited.

GPX4-dependent ferroptosis sensitivity is a fitness trade-off for cell enlargement

Despite wide variation, each cell type has an optimal size. Maintaining optimal size is essential for cellular fitness and function but the biological basis for this remains elusive. Here, we performed fitness analysis involving genome-wide CRISPR-Cas9 knockout data from tens of human cell lines and identified that cell size influences the essentiality of genes related to mitochondria and membrane repair. These genes also included glutathione peroxidase 4 (GPX4), which safeguards membranes from oxidative damage and prevents ferroptosis-iron-dependent death. Growth beyond normal size, with or without cell-cycle arrest, increased lipid peroxidation, resulting in a ferroptosis-sensitive state. Proteomic analysis revealed cell-cycle-independent superscaling of endoplasmic reticulum, accumulation of iron, and lipidome remodeling. Even slight increases from normal cell size sensitized proliferating cells to ferroptosis as evidenced by deep-learning-based single-cell analysis. Thus, lipid peroxidation may be a fitness trade-off that constrains cell enlargement and contributes to the establishment of an optimal cell size.

Uncovering cell cycle-dependent effects on cell survival in near-infrared photoimmunotherapy

Near-infrared photoimmunotherapy (NIR-PIT) is an innovative cancer treatment that selectively induces cell death in cancer cells. Cetuximab-IRdye700DX (Cmab-IR700) conjugate is commonly used in NIR-PIT for head and neck squamous cell carcinoma (HNSCC) because of the frequent overexpression of epidermal growth factor receptor (EGFR) in HNSCC cells. This study examined the influence of cell cycle phases on the response and sensitivity to NIR-PIT in cell lines expressing a fluorescent ubiquitination-based cell cycle indicator (Fucci). The timing of cell death was quantified using time-lapse imaging and a clonogenic assay was used to assess cell survival. The results indicated that the timing of cell death varied among cell lines, with G1-phase cells in HSC3 and CAL33 lines showing slower cell death than those in the S/G2/M phases, whereas HeLa cells exhibited no cell cycle phase-dependent correlation. Cell rupture was predominant in HSC3 and CAL33 cells, whereas HeLa cells exhibited a combination of cell rupture and swelling. Clonogenic survival differed among the cell lines, mirroring variations in the timing of cell death. Among CAL33 and HeLa cells, G1-phase cells demonstrated greater resistance to NIR-PIT. EGFR expression levels, which varied according to cell line and cell cycle phase, were associated with sensitivity to NIR-PIT. Additionally, L-ascorbic acid-treated HeLa cells exhibited increased time to cell death and reduced NIR-PIT sensitivity, which may be due to reactive oxygen species. These findings provide information for the development of NIR-PIT strategies based on cell cycle kinetics to enhance therapeutic outcomes.

A generalized adder for cell size homeostasis: Effects on stochastic clonal proliferation

Measurements of cell size dynamics have revealed phenomenological principles by which individual cells control their size across diverse organisms. One of the emerging paradigms of cell size homeostasis is the adder, where the cell cycle duration is established such that the cell size increase from birth to division is independent of the newborn cell size. We provide a mechanistic formulation of the adder, considering that cell size follows any arbitrary nonexponential growth law. Our results show that the main requirement to obtain an adder regardless of the growth law (the time derivative of cell size) is that cell cycle regulators are produced at a rate proportional to the growth law, and cell division is triggered when these molecules reach a prescribed threshold level. Among the implications of this generalized adder, we investigate fluctuations in the proliferation of single-cell-derived colonies. Considering exponential cell size growth, random fluctuations in clonal size show a transient increase and then eventually decay to zero over time (i.e., clonal populations become asymptotically more similar). In contrast, several forms of nonexponential cell size dynamics (with adder-based cell size control) yield qualitatively different results: clonal size fluctuations monotonically increase over time, reaching a nonzero value. These results characterize the interplay between cell size homeostasis at the single-cell level and clonal proliferation at the population level, explaining the broad fluctuations in clonal sizes seen in barcoded human cell lines.

Single-Calibration Cell Size Measurement With Flow Cytometry

Measuring the size of individual cells in high-throughput experiments is often important in biomedical research and applications. Nevertheless, popular tools for high-throughput single-cell biology, such as flow cytometers, only offer proxies of a cell's size, typically reported in arbitrary scales and often subject to changes in the instrument's settings as selected by multiple users. In this paper, we demonstrate that it is possible to calibrate flowcytometry laser scatter signals with accurate measures of cell diameter from separate devices and that the calibration can be conserved upon changes in the laser settings. We demonstrate our approach based on flow cytometric sorting of cells of a mammalian cell line according to a selection of scatter parameters, followed by cell size determination with a Coulter counter. A straightforward procedure is presented that relates the flow cytometric scatter parameters to the absolute size measurements using linear models, along with a linear transformation that converts between different instrument settings on the flow cytometer. Our method makes it possible to record on a flow cytometer a cell's size in absolute units and correlate it with other features that are recorded in parallel in the fluorescence detection channels.

Impact of G1 phase kinetics on the acquisition of stemness in cancer cells: the critical role of cyclin D

Cancer stem cells (CSCs) represent a unique subpopulation of cells with the ability to self-renew and differentiate, thereby sustaining tumor growth and contributing to disease recurrence. Although CSCs predominantly reside in the G0 phase, their stem-like properties, such as the expression of specific CD markers, self-renewal, differentiation potential, tumor initiation, drug resistance, and increased invasive and metastatic potential, manifest during their active proliferative phase. Rapidly dividing cells exhibit alterations in their cell cycle, often characterized by shortened or bypassed G1 phases, a phenomenon observed in both embryonic stem cells and cancerous cells. Dysregulation of cell cycle control is a hallmark of cancer, leading to uncontrolled cellular proliferation and tumorigenesis. Disruption in key regulatory proteins, signaling pathways, and cell cycle checkpoints-particularly during the G1 phase-enables cancer cells to escape normal proliferation restrictions. The rapid cell-cycle progression can impair the timely degradation of proteins critical for cell cycle regulation, particularly cyclin D, thereby compromising proper cell cycle control. Therefore these proteins may be passed to daughter cells, promoting further rounds of rapid cycles. Additionally, cyclin D is often overexpressed in cancer cells, further exacerbating uncontrolled proliferation. These mechanisms may underpin key properties of CSCs, including rapid proliferation and their stem-like traits. This review examines the relationship between G1 phase kinetics and the acquisition of stem-like characteristics, emphasizing how rapid G1 phase progression and transitions between dormancy and active proliferation contribute to the emergence of CSC traits.

AUGMENTED DOUBLY ROBUST POST-IMPUTATION INFERENCE FOR PROTEOMIC DATA

Quantitative measurements produced by mass spectrometry proteomics experiments offer a direct way to explore the role of proteins in molecular mechanisms. However, analysis of such data is challenging due to the large proportion of missing values. A common strategy to address this issue is to utilize an imputed dataset, which often introduces systematic bias into downstream analyses if the imputation errors are ignored. In this paper, we propose a statistical framework inspired by doubly robust estimators that offers valid and efficient inference for proteomic data. Our framework combines powerful machine learning tools, such as variational autoencoders, to augment the imputation quality with high-dimensional peptide data, and a parametric model to estimate the propensity score for debiasing imputed outcomes. Our estimator is compatible with the double machine learning framework and has provable properties. Simulation studies verify its empirical superiority over other existing procedures. In application to both single-cell proteomic data and bulk-cell Alzheimer's Disease data our method utilizes the imputed data to gain additional, meaningful discoveries and yet maintains good control of false positives.

Cytoskeletal activation of NHE1 regulates mechanosensitive cell volume adaptation and proliferation

Mammalian cells rapidly respond to environmental changes by altering transmembrane water and ion fluxes, changing cell volume. Contractile forces generated by actomyosin have been proposed to mechanically regulate cell volume. However, our findings reveal a different mechanism in adherent cells, where elevated actomyosin activity increases cell volume in normal-like cells (NIH 3T3 and others) through interaction with the sodium-hydrogen exchanger isoform 1 (NHE1). This leads to a slow secondary volume increase (SVI) following the initial regulatory volume decrease during hypotonic shock. The active cell response is further confirmed by intracellular alkalinization during mechanical stretch. Moreover, cytoskeletal activation of NHE1 during SVI deforms the nucleus, causing immediate transcriptomic changes and ERK-dependent growth inhibition. Notably, SVI and its associated changes are absent in many cancer cell lines or cells on compliant substrates with reduced actomyosin activity. Thus, actomyosin acts as a sensory element rather than a force generator during adaptation to environmental challenges.

Genome concentration limits cell growth and modulates proteome composition in Escherichia coli

Defining the cellular factors that drive growth rate and proteome composition is essential for understanding and manipulating cellular systems. In bacteria, ribosome concentration is known to be a constraining factor of cell growth rate, while gene concentration is usually assumed not to be limiting. Here, using single-molecule tracking, quantitative single-cell microscopy, and modeling, we show that genome dilution in Escherichia coli cells arrested for DNA replication limits total RNA polymerase activity within physiological cell sizes across tested nutrient conditions. This rapid-onset limitation on bulk transcription results in sub-linear scaling of total active ribosomes with cell size and sub-exponential growth. Such downstream effects on bulk translation and cell growth are near-immediately detectable in a nutrient-rich medium, but delayed in nutrient-poor conditions, presumably due to cellular buffering activities. RNA sequencing and tandem-mass-tag mass spectrometry experiments further reveal that genome dilution remodels the relative abundance of mRNAs and proteins with cell size at a global level. Altogether, our findings indicate that chromosome concentration is a limiting factor of transcription and a global modulator of the transcriptome and proteome composition in E. coli. Experiments in Caulobacter crescentus and comparison with eukaryotic cell studies identify broadly conserved DNA concentration-dependent scaling principles of gene expression.

Cells Prioritize the Regulation of Cell Mass Density

A cell's global physical state is characterized by its volume and dry mass. The ratio of cell mass to volume is the cell mass density (CMD), which is also a measure of macromolecular crowding and concentrations of all proteins. Using the Fluorescence eXclusion method (FXm) and Quantitative Phase Microscopy (QPM), we investigate CMD dynamics after exposure to sudden media osmolarity change. We find that while the cell volume and mass exhibit complex behavior after osmotic shock, CMD follows a straightforward monotonic recovery in 48 hours. The recovery is cell-cycle independent and relies on a coordinated adjustment of protein synthesis and volume growth rates. Surprisingly, we find that the protein synthesis rate decreases when CMD increases. This result is explained by CMD-dependent nucleoplasm-cytoplasm transport, which serves as negative regulatory feedback on CMD. The Na+/H+ exchanger NHE plays a role in regulating CMD by affecting both protein synthesis and volume change. Taken together, we reveal that cells possess a robust control system that actively regulates CMD during environmental change.

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 cell size influences 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 compositionally different. In the present study, we utilize the natural heterogeneity of hepatocyte ploidy and yeast genetics to establish that the ploidy-to-cell size ratio is a highly conserved determinant of proteome composition. In both mammalian and yeast cells, genome dilution by cell growth elicits a starvation-like phenotype, suggesting that growth in large cells is restricted by genome concentration in a manner that mimics a limiting nutrient. Moreover, genome dilution explains some proteomic changes ascribed to yeast aging. Overall, our data indicate that genome concentration drives changes in cell composition independently of external environmental cues.

Mechanochemical control systems regulating animal cell size

Cell size regulation arises from physical manifestations of cell proliferation and metabolic pathways. On one hand, coordination between these systems yields a constant cell size over generations to maintain cell size homeostasis. However, active regulation of cell size is crucial to physiology and to establish broad variation of cell sizes within an individual organism, and is accomplished via physical and biochemical pathways modulated by myriad intrinsic and extrinsic cues. In this review, we explore recent data elucidating the mechanobiological regulation of the volume of animal cells and its coordination with metabolic and proliferative pathways.

Mechanisms of growth-dependent regulation of the Gin4 kinase

Cell cycle progression is dependent upon cell growth. Cells must therefore translate growth into a proportional signal that can be used to determine when there has been sufficient growth for cell cycle progression. In budding yeast, the protein kinase Gin4 is required for normal control of cell growth and undergoes gradual hyperphosphorylation and activation that are dependent upon growth and proportional to the extent of growth, which suggests that Gin4 could function in mechanisms that measure cell growth. However, the molecular mechanisms that drive hyperphosphorylation of Gin4 are poorly understood. Here, we used biochemical reconstitution and genetic analysis to test hypotheses for the mechanisms that drive phosphorylation of Gin4. We ruled out a previous model in which phosphatidylserine delivered to sites of plasma membrane growth binds Gin4 to initiate autophosphorylation. Instead, we show that Elm1, a homolog of the mammalian Lkb1 tumor suppressor kinase, is sufficient to promote hyperphosphorylation of Gin4 in vitro, likely via initiation of Gin4 autophosphorylation. Furthermore, we show that casein kinase I is required for growth-dependent hyperphosphorylation of Gin4 and also for normal regulation of Elm1. Together, these discoveries lead to new insight into mechanisms that link cell cycle progression to cell growth.

Seeing with an extra sense

Science foremost derives from our curiosity about the world. Can we make sense of the phenomena we see around us? Given that understanding, can we predict previously unimagined phenomena? How do things work? Can we use what we discover to invent new technologies? One class of questions that has mesmerized observers, dating at least to early cave paintings of hunters and their prey, surrounds the nature of the phenomenon we refer to as life. Over the centuries, scientists have found a broad array of surprisingly different techniques for observing, measuring, characterizing and explaining the living world. Microscopes provide a dazzling view of a previously unseen reality that tells us how living organisms are made up and how their components are organized and move. The tools of molecular science tell us the sequence and structure of the macromolecules that fill cells. The data explosion that has attended the development of a new generation of high-throughput tools for querying the living world demands that we have some way of accounting for those data that both provide intuition and make dangerous predictions with no after-the-fact parametric wiggle room. In this special issue of Current Biology, leading researchers explore how physical approaches have contributed to various fields of biology. Here, to introduce this special issue, I consider some of the ways in which viewing the living through a physical lens allows us to see things that might otherwise remain hidden.

A Generalized Adder mechanism for Cell Size Homeostasis: Implications for Stochastic Dynamics of Clonal Proliferation

Measurements of cell size dynamics have revealed phenomenological principles by which individual cells control their size across diverse organisms. One of the emerging paradigms of cell size homeostasis is the adder, where the cell cycle duration is established such that the cell size increase from birth to division is independent of the newborn cell size. We provide a mechanistic formulation of the adder considering that cell size follows any arbitrary non-exponential growth law. Our results show that the main requirement to obtain an adder regardless of the growth law (the time derivative of cell size) is that cell cycle regulators are produced at a rate proportional to the growth law and cell division is triggered when these molecules reach a prescribed threshold level. Among the implications of this generalized adder, we investigate fluctuations in the proliferation of single-cell derived colonies. Considering exponential cell size growth, random fluctuations in clonal size show a transient increase and then eventually decay to zero over time (i.e., clonal populations become asymptotically more similar). In contrast, several forms of non-exponential cell size dynamics (with adder-based cell size control) yield qualitatively different results: clonal size fluctuations monotonically increase over time reaching a non-zero value. These results characterize the interplay between cell size homeostasis at the single-cell level and clonal proliferation at the population level, explaining the broad fluctuations in clonal sizes seen in barcoded human cell lines.

Colony context and size-dependent compensation mechanisms give rise to variations in nuclear growth trajectories

To investigate the fundamental question of how cellular variations arise across spatiotemporal scales in a population of identical healthy cells, we focused on nuclear growth in hiPS cell colonies as a model system. We generated a 3D timelapse dataset of thousands of nuclei over multiple days, and developed open-source tools for image and data analysis and an interactive timelapse viewer for exploring quantitative features of nuclear size and shape. We performed a data-driven analysis of nuclear growth variations across timescales. We found that individual nuclear volume growth trajectories arise from short timescale variations attributable to their spatiotemporal context within the colony. We identified a strikingly time-invariant volume compensation relationship between nuclear growth duration and starting volume across the population. Notably, we discovered that inheritance plays a crucial role in determining these two key nuclear growth features while other growth features are determined by their spatiotemporal context and are not inherited.

The G1/S transition in mammalian stem cells in vivo is autonomously regulated by cell size

Cell growth and division must be coordinated to maintain a stable cell size, but how this coordination is implemented in multicellular tissues remains unclear. In unicellular eukaryotes, autonomous cell size control mechanisms couple cell growth and division with little extracellular input. However, in multicellular tissues we do not know if autonomous cell size control mechanisms operate the same way or whether cell growth and cell cycle progression are separately controlled by cell-extrinsic signals. Here, we address this question by tracking single epidermal stem cells growing in adult mice. We find that a cell-autonomous size control mechanism, dependent on the RB pathway, sets the timing of S phase entry based on the cell's current size. Cell-extrinsic variations in the cellular microenvironment affect cell growth rates but not this autonomous coupling. Our work reassesses long-standing models of cell cycle regulation within complex metazoan tissues and identifies cell-autonomous size control as a critical mechanism regulating cell divisions in vivo and thereby a major contributor to stem cell heterogeneity.