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Results for “cell biology”

Search indexed bioRxiv preprints in genomics, neuroscience, cell biology and bioinformatics. Read source abstracts and check manuscript versions; preprints are not peer reviewed.

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At least 415 records · Page 23Linked to original sources

bioRxiv2021

Expression of a tetracycline-controlled transactivator (Tet-On/Off system) in beta cells reduces insulin expression and secretion in mice

Controllable genetic manipulation is an indispensable tool in research, greatly advancing our understanding of cell biology and physiology. However, in beta cells, transgene silencing, low inducibility, ectopic expression and off-targets effects on cell function and glucose homeostasis are a persistent challenge. In this study, we investigated whether an inducible, Tet-Off system with beta-cell specific MIP-itTA driven expression of TetO-CreJaw/J could circumvent previous issues of specificity, efficacy and toxicity. Following assessment of tissue-specific gene recombination; beta cell architecture; in vitro and in vivo glucose-stimulated insulin secretion (GSIS); and whole-body glucose homeostasis, we discovered that expression of any tetracycline-controlled transactivator (e.g. itTA, rtTA or tTA) in beta cells significantly reduced Insulin gene expression and decreased insulin content. This translated into lower pancreatic insulin levels and reduced insulin secretion in mice carrying a MIP-itTA transgene, independent of Cre-recombinase expression or doxycycline treatment. These results raise significant concern regarding the use of Tet-On or Tet-Off systems for genome editing in beta cells and emphasize the need to control for effects of transactivator expression. Our study echoes ongoing challenges faced by fundamental researchers focused on beta cells and highlights the need for consistent and careful control of experiments using these research tools.

physiology↗

bioRxiv2021

High throughput genome-wide single cell protein:DNA binding site mapping by targeted insertion of promoters (TIP-seq)

Assessing cell to cell, and importantly, chromosome to chromosome, heterogeneity in cellular phenotypes is a central goal of modern cell biology. However, chromatin profiling in single cells has been extremely challenging, and single chromosome profiling has not been achieved. In cases where single cell methods have shown promise, success has been mainly limited to histone proteins and/or require highly specialized equipment or cell type specific protocols and are relatively low throughput. Here, we have combined the advantages of tagmentation, linear amplification and combinatorial indexing to produce a high throughput single cell DNA binding site mapping method that does not require specialized equipment and is capable of multiplexing several samples/ target proteins in one experiment. Targeted Insertion of Promoters (TIP-seq) uses Tn5 fused to protein A (as with CUT&Tag) to insert a T7 RNA polymerase promoter into sites adjacent to an antibody bound to a chromatin protein of interest, followed by linear amplification of flanking DNA with T7 polymerase, cDNA preparation and PCR indexing. Tip-seq provides [~]10-fold higher unique reads and thus higher coverage per single cell compared to state-of-the-art methods. We apply TIP-seq to map histone modifications, RNA PolII and CTCF binding sites in single human and mouse cells. TIP-seq will also be adaptable for other platforms, such as 10X genomics and ICELL8. In summary, TIP-seq provides a high-throughput, low-cost method for single cell protein mapping, that yields substantially higher coverage per cell and signal to noise than existing methods.

genomics↗

bioRxiv2022

Canonical Wnt Signaling Induces Focal Adhesion and Integrin Beta-1 Endocytosis

During canonical Wnt signaling, the Lrp6 and Frizzled co-receptors bind to the Wnt growth factor and the complex is endocytosed and sequestered together with Glycogen Synthase Kinase 3 (GSK3), Dishevelled (Dvl), and Axin inside the intraluminal vesicles of late endosomes, known as multivesicular bodies (MVBs). Here we present experiments showing that Wnt causes the endocytosis of focal adhesion (FA) proteins and depletion of Integrin {beta} 1 (ITG{beta}1) from the cell surface. FAs and integrins link the cytoskeleton to the extracellular matrix. Wnt-induced endocytosis caused ITG{beta}1 depletion from the plasma membrane and was accompanied by striking changes in the actin cytoskeleton. In situ protease protection assays in cultured cells showed that ITG{beta}1 was sequestered within membrane-bounded organelles that corresponded to Wnt-induced MVBs containing GSK3 and FA-associated proteins. An in vivo model using Xenopus embryos dorsalized by Wnt8 mRNA showed that ITG{beta}1 depletion decreased Wnt signaling. The finding of a crosstalk between two mayor signaling pathways, canonical Wnt and focal adhesions, should be relevant to human cancer and cell biology.

cell biology↗

bioRxiv2023

A microphysiological system for parallelized morphological and electrophysiological read-out of 3D neuronal cell culture

Three-dimensional in vitro models in microfluidic systems are promising tools for studying cell biology, with complex models using multiple cell types combined with high resolution imaging. Neuronal models demand electrical readout of the activity of networks of single neurons, yet classical planar microelectrode arrays struggle to capture extracellular action potentials when neural soma are suspended distant from the microelectrodes. This study introduces sophisticated microfluidic microelectrode arrays, specifically tailored for electrophysiology of 3D neuronal cultures. Using multilayer photolithography of permanent epoxy photoresists, we developed devices having 12 independent culture modules in a convenient format. Each module has two adjacent compartments for hydrogel-based 3D cell culture, with tunnels allowing projection of neurites between compartments. Microelectrodes integrated in the tunnels record action potentials as they pass between the compartments. Mesh ceilings separate the compartments from overlying wells, allowing for simple cell seeding and later nutrient, gas and waste exchange and application of test substances. Using these devices, we have demonstrated 3D neuronal culture, including electrophysiological recording and live imaging. This microphysiological platform will enable high-throughput investigation of neuronal networks for investigation of neurological disorders, neural pharmacology and basic neuroscience. Further models could include cocultures representing multiple brain regions or innervation models of other organs.

neuroscience↗

bioRxiv2024

BATF controls IFN I production via DC-SCRIPT in plasmacytoid dendritic cells

The basic leucine zipper ATF-like transcription factor (BATF) plays a pivotal role in coordinating various aspects of lymphoid cell biology, yet essential functions in dendritic cells (DCs) have not been reported. Here we demonstrate that BATF deficiency leads to increased interferon (IFN) I production in Toll-like receptor 9 (TLR9)-activated plasmacytoid dendritic cells (pDCs), while BATF overexpression has an inhibitory effect. BATF-deficient mice exhibit elevated IFN I serum levels early in lymphocytic choriomeningitis virus (LCMV) infection. Through ATAC-Seq analysis, BATF emerges as a pioneer transcription factor, regulating approximately one third of the known transcription factors in pDCs. Integrated transcriptomics and ChIP-Seq approaches identified the transcriptional regulator DC-SCRIPT as a direct target of BATF that suppresses IFN I promoter activity by interacting with the interferon regulatory factor 7 (IRF7). Genome-wide association study (GWAS) analyses further implicate BATF in pDC-mediated human diseases. Our findings establish a novel negative feedback axis in IFN I regulation in pDCs during anti-viral immune responses orchestrated by BATF and DC-SCRIPT, with broader implications for pDC and IFN I-mediated autoimmunity.

immunology↗

bioRxiv2024

Host cell-specific metabolism of linoleic acid controls Toxoplasma gondii growth in cell culture

The obligate intracellular parasite Toxoplasma gondii can infect and replicate in any warm-blooded cell tested to date, but much of our knowledge about T. gondii cell biology comes from just one host cell type: human foreskin fibroblasts (HFFs). To expand our knowledge of host-parasite lipid interactions, we studied T. gondii in intestinal epithelial cells, the first site of host-parasite contact following oral infection and the exclusive site of parasite sexual development in feline hosts. We found that highly metabolic Caco-2 cells are permissive to T. gondii growth even when treated with high levels of linoleic acid (LA), a polyunsaturated fatty acid (PUFA) that kills parasites in HFFs. Caco-2 cells appear to sequester LA away from the parasite, preventing membrane disruptions and lipotoxicity that characterize LA-induced parasite death in HFFs. Our work is an important step toward understanding host-parasite interactions in feline intestinal epithelial cells, an understudied but important cell type in the T. gondii life cycle.

microbiology↗

bioRxiv2024

Discovery of cell type classification marker genes from single cell RNA sequencing data using NS-Forest

The use of single cell/nucleus RNA sequencing (scRNA-seq) technologies that quantitively describe cell transcriptional phenotypes is revolutionizing our understanding of cell biology, leading to new insights in cell type identification, disease mechanisms, and drug development. The tremendous growth in scRNA-seq data has posed new challenges in efficiently characterizing data-driven cell types and identifying quantifiable marker genes for cell type classification. The use of machine learning and explainable artificial intelligence has emerged as an effective approach to study large-scale scRNA-seq data. NS-Forest is a random forest machine learning-based algorithm that aims to provide a scalable data-driven solution to identify minimum combinations of necessary and sufficient marker genes that capture cell type identity with maximum classification accuracy. Here, we describe the latest version, NS-Forest version 4.0 and its companion Python package (https://github.com/JCVenterInstitute/NSForest), with several enhancements to select marker gene combinations that exhibit highly selective expression patterns among closely related cell types and more efficiently perform marker gene selection for large-scale scRNA-seq data atlases with millions of cells. By modularizing the final decision tree step, NS-Forest v4.0 can be used to compare the performance of user-defined marker genes with the NS-Forest computationally-derived marker genes based on the decision tree classifiers. To quantify how well the identified markers exhibit the desired pattern of being exclusively expressed at high levels within their target cell types, we introduce the On-Target Fraction metric that ranges from 0 to 1, with a metric of 1 assigned to markers that are only expressed within their target cell types and not in cells of any other cell types. NS-Forest v4.0 outperforms previous versions on its ability to identify markers with higher On-Target Fraction values for closely related cell types and outperforms other marker gene selection approaches at classification with significantly higher F-beta scores when applied to datasets from three human organs - brain, kidney, and lung.

bioinformatics↗

bioRxiv2025

A Precision Gene Engineered B Cell Medicine Producing Sustained Levels of Active Factor IX for Hemophilia B Therapy

Hemophilia B gene therapy treatments currently have not addressed the need for predictable, durable, active, and redosable factor IX (FIX). Unlike conventional gene therapy, engineered B Cell Medicines (BCMs) are durable, redosable, and titratable, and thus have the potential to address significant unmet needs in the Hemophilia B treatment paradigm. BE-101 is an autologous BCM comprised of expanded and differentiated B lymphocyte lineage cells genetically engineered ex vivo to secrete FIX-Padua. CRISPR/Cas9 mediated gene editing at the C-C chemokine receptor type 5 locus was used to facilitate transgene insertion of an AAV6-encoded DNA template via homology-directed repair. Transgene insertion did not alter B cell biology, viability, or differentiation into plasma cells. Appreciable levels of BE-101-derived FIX-Padua were detected within 1 day after IV administration in mouse and steady state was reached within 2 weeks and persisted for over 184 days. Redosing produced an increase in FIX-Padua production close to linear dose proportionality. Comprehensive genotoxicity analysis found no off-target issues of concern. No safety signals were observed in animal tolerability and GLP toxicology studies. In conclusion, BE-101 produces sustained levels of active FIX-Padua with the ability to engraft without host preconditioning and with the potential for redosing and titratability.

pharmacology and toxicology↗

bioRxiv2025

Explainable machine learning-assisted exploration of chromatin dynamics reveals chromosome-specific response to serum starvation

Chromatin is dynamic at all length scales, influencing chromatin-based processes, such as gene expression. Even large-scale reorganization of whole chromosome territories has been reported upon specific signals, but lack of suitable methods has prevented analysis of the underlying dynamic processes. Here we have used CRISPR-Sirius for time-lapse imaging of chromatin loci dynamics during serum starvation. We show that chromosome 1 loci move towards the nuclear envelope during the first hour of serum starvation in a chromosome-specific manner. Machine learning-assisted exploration of acquired multiparametric data combined with the Shapley values-based explanation approach allowed us to uncover the critical features that characterize chromatin dynamics during serum starvation. This analysis reveals that although serum starvation affects overall nuclear morphology and chromatin dynamics, chromosome 1 loci display a specific response that is characterized by maintenance of dynamics in constrained environment, and long "jumps" at the nuclear periphery. Interestingly, the two homologous chromosomes display differential behaviors, with the more peripheral homolog being more responsive to the signal than the internal one. Overall, the presented machine learning-assisted dataset exploration helps us navigate the multidimensional data to understand the underlying dynamic processes and can be applied to a wide variety of research questions in imaging and cell biology in general.

cell biology↗

bioRxiv2025

Chimeric Antigen Receptors Transmit Co-stimulatory Domain Dependent Piconewton Forces to their Target

Chimeric antigen receptor (CAR) T cells promote tumor-specific cytotoxicity through engagement of a recombinant, synthetic receptor with target ligands expressed on cancer cells. Native T cells are mechanically active, both transmitting and sensing forces exceeding 19 piconewtons (pN) via transmembrane receptors, including the T cell receptor (TCR). Emerging evidence implicates mechanoactivity in CAR T cell biology, but CAR-transmitted T cell forces have not been directly measured. Here, we utilize DNA-based molecular tension probes (MTPs) conjugated to CAR target ligands, providing evidence of actin-polymerization dependent forces exceeding 4.7-19 pN borne by the CAR. We demonstrate force transmission by three clinically relevant CARs (CD123, CD33, and CD19), suggesting that these forces are generalizable across CAR targets and constructs. Additionally, we identify intracellular co-stimulatory domains as the main determinants of CAR-mediated forces, because first-generation CARs lacking co-stimulatory domains do not transmit measurable forces to their ligand. Finally, we demonstrate that CAR forces temporally precede Ca2+ signaling and are spatially correlated with phosphorylation of classical TCR-signaling machinery, indicating a link between CAR T cell forces and early biochemical signaling. Our study introduces CAR-mediated mechanobiology as a key correlate of early CAR T cell activation events. Significance StatementChimeric antigen receptor (CAR) T cell therapies have revolutionized treatment for several hematological malignancies. CARs are recombinant receptors containing domains derived from the T cell receptor complex machinery and other co-stimulatory proteins. Mechanical forces are believed to be important in T cell activation and antigen recognition. The role of mechanobiology in CAR T cell immunotherapy remains poorly understood. Here, using DNA-based molecular tension probes conjugated to CAR ligands, we provide direct evidence that CARs bear actin polymerization-dependent piconewton forces during antigen engagement that precede early signaling events. These forces depend on CAR co-stimulatory domains, and first-generation CARs lacking these domains fail to transmit detectable force. These findings suggest mechanobiology may be a key, tunable parameter for next-generation CAR T cells.

immunology↗

bioRxiv2025

Systematic morphological profiling of human and mouse miRNAs in 24M single cells

MicroRNAs (miRNAs) are post-transcriptional regulators of gene expression whose contributions to cell biology remain underexplored. Here, we used Cell Painting to quantify the morphological effect of 2,565 human and 1,900 mouse miRNA mimics on 24 million cells across five cell lines. To do so, we developed a novel single-cell morphological profiling analysis framework, involving stringent batch correction, feature selection, and hit calling. With this, we discovered that 9% of human and 15% of mouse miRNA mimics significantly alter cell morphology in at least one cell line. Eighteen miRNAs caused significant changes in multiple cell lines, including eight orthologous miRNAs that altered morphology in both human and mouse cells. Among the replicating miRNAs were human and mouse miR-155-5p, which affected morphology in at least one replicate of four cell lines. As expected, miRNAs with identical seed sequences induced more similar morphological changes than miRNAs with different seeds. Also, morphological changes were associated with cytotoxicity and annotation confidence. This comprehensive single-cell morphological resource will help elucidate the cellular functions of human and mouse miRNAs.

genomics↗

bioRxiv2018

Revealing S-layer Functions in the Hyperthermophilic Crenarchaeon Sulfolobus islandicus

The crystalline surface layer (S-layer), consisting of two glycoproteins SlaA and SlaB, is considered to be the exclusive component of the cell envelope outside of the cytoplasmic membrane in Sulfolobus species. Although biochemically and structurally characterized, the S-layer in vivo functions remain largely elusive in Archaea. Here, we investigate how the S-layer genes contribute to the S-layer architecture and affect cellular physiology in a crenarchaeal model, Sulfolobus islandicus M.16.4. Electron micrographs of mutant cells lacking slaA or both slaA and slaB confirm the absence of the outermost layer (SlaA), whereas cells with intact, partially, or completely detached SlaA are observed for the {triangleup}slaB mutant. Importantly, we identify a novel S-layer-associated protein M164_1049, which does not functionally replace its homolog SlaB but likely assists SlaB to stabilize SlaA. Additionally, we find that mutants deficient in SlaA form large cell aggregates and the individual cell size varies significantly. The slaB gene deletion also causes noticeable cellular aggregation, but the size of those aggregates is smaller when compared to {triangleup}slaA and {triangleup}slaAB mutants. We further show the {triangleup}slaA mutant cells exhibit more sensitivity to hyperosmotic stress but are not reduced to wild-type cell size. Finally, we demonstrate that the {triangleup}slaA mutant contains aberrant chromosome copy numbers not seen in wild-type cells where the cell cycle is tightly regulated. Together these data suggest that the lack of slaA results in either cell fusion or irregularities in cell division. Our studies provide novel insights into the physiological and cellular functions of the S-layer in Archaea.\n\nSignificanceRediscovery of the ancient evolutionary relationship between archaea and eukaryotes has revitalized interest in archaeal cell biology. Key to understanding the archaeal cell is the S-layer which is ubiquitous in Archaea but whose in vivo function is unknown. In this study, we genetically dissect how the two well-known S-layer genes as well as a newly identified S-layer-associated-protein-encoding gene contribute to the S-layer architecture in a hyperthermophilic crenarchaeal model S. islandicus. We provide genetic evidence for the first time showing that the slaA gene is a key cell morphology determinant and may play a role in Sulfolobus cell division or cell fusion.

microbiology↗

bioRxiv2019

Single-cell RNA-seq of differentiating iPS cells reveals dynamic genetic effects on gene expression

Recent developments in stem cell biology have enabled the study of cell fate decisions in early human development that are impossible to study in vivo. However, understanding how development varies across individuals and, in particular, the influence of common genetic variants during this process has not been characterised. Here, we exploit human iPS cell lines from 125 donors, a pooled experimental design, and single-cell RNA-sequencing to study population variation of endoderm differentiation. We identify molecular markers that are predictive of differentiation efficiency, and utilise heterogeneity in the genetic background across individuals to map hundreds of expression quantitative trait loci that influence expression dynamically during differentiation and across cellular contexts.

genomics↗

bioRxiv2024

scKEPLM: Knowledge enhanced large-scale pre-trained language model for single-cell transcriptomics

The success of large-scale pre-trained language models in the Natural Language Processing (NLP) domain has encouraged their adoption in genomics and single-cell biology. Developing pre-trained models using the rapidly growing single-cell transcriptomic data helps to unravel the intricate language of cells. However, current single-cell pre-trained models primarily focus on learning gene and cell representations from extensive gene expression data, failing to fully comprehend the biological significance of the gene expression patterns and cell types they identify, which leads to limited interpretability and transferability. We propose scKEPLM, a knowledge-enhanced single-cell pre-training language model integrates a biology knowledge graph into the single-cell transcriptome pre-training process. scKEPLM covers over 41 million single-cell RNA sequences and 8.9 million gene relations. Through parallel pre-training of single-cell transcriptome sequences and genetic knowledge, combined with a Gaussian cross-attention mechanism, scKEPLM precisely aligns cell semantics with genetic information, to learn more accurate and comprehensive representations of single-cell transcriptomes. The introduction of knowledge enhancement has improved the identification of important genes in cells by scKEPLM, and greatly enriched the understanding of cell function and disease mechanism. The scKEPLM model has achieved state-of-the-art performance in more than 12 downstream tasks, including gene annotation, cell annotation, and drug response prediction, demonstrating strong generalization and transferability. Further exploration of the models interpretability demonstrates its adaptability to variations in gene expression patterns within cells under various physiological or pathological conditions.

bioinformatics↗

bioRxiv2023

Long-distance Wnt transport in axons highlights cell type-specific modes of Wnt transport in vivo

Wnt signaling performs critical functions in development, homeostasis, and disease states. Wnt ligands are secreted signaling proteins that often move between cells to activate signaling across a range of distances and concentrations. In different animals and developmental contexts, Wnts utilize distinct mechanisms for intercellular transport including diffusion, cytonemes and exosomes [1]. Mechanisms for intercellular Wnt dispersal remain controversial in part due to technical challenges with visualizing endogenous Wnt proteins in vivo, which has limited our understanding of Wnt transport dynamics. As a result, the cell-biological bases for long-range Wnt dispersal remain unknown in most instances, and the extent to which differences in Wnt transport mechanisms vary by cell type, organism, and/or ligand remain uncertain. To investigate processes underlying long-range Wnt transport in vivo, we utilized C. elegans as an experimentally tractable model where it is possible to tag endogenous Wnts with fluorescent proteins without disrupting signaling [2]. Live imaging of two endogenously tagged Wnt homologs revealed a novel mode for long-distance Wnt movement in axon-like structures that may complement Wnt gradients generated by diffusion and highlighted cell type-specific Wnt transport processes in vivo.

cell biology↗

bioRxiv2024

Intestinal tuft cells assemble a cytoskeletal superstructure composed of co-aligned actin bundles and microtubules

Background & AimsAll tissues consist of a distinct set of cell types, which collectively support organ function and homeostasis. Tuft cells are a rare epithelial cell type found in diverse epithelia, where they play important roles in sensing antigens and stimulating downstream immune responses. Exhibiting a unique polarized morphology, tuft cells are defined by an array of giant actin filament bundles that support [~]2 m of apical membrane protrusion and extend over 7 m towards the cells perinuclear region. Despite their established roles in maintaining intestinal epithelial homeostasis, tuft cells remain understudied due to their rarity (e.g. [~] 1% in the small intestinal epithelium). Details regarding the ultrastructural organization of the tuft cell cytoskeleton, the molecular components involved in building the array of giant actin bundles, and how these cytoskeletal structures support tuft cell biology remain unclear. MethodsTo begin to answer these questions, we used advanced light and electron microscopy to perform quantitative morphometry of the small intestinal tuft cell cytoskeleton. ResultsWe found that tuft cell core bundles consist of actin filaments that are crosslinked in a parallel "barbed-end out" configuration. These polarized structures are also supported by a unique group of tuft cell enriched actin-binding proteins that are differentially localized along the giant core bundles. Furthermore, we found that tuft cell actin bundles are co-aligned with a highly ordered network of microtubules. ConclusionsTuft cells assemble a cytoskeletal superstructure that is well positioned to serve as a track for subcellular transport along the apical-basolateral axis and in turn, support the dynamic sensing functions that are critical for intestinal epithelial homeostasis. SYNOPSISThis research leveraged advanced light and electron microscopy to perform quantitative morphometry of the intestinal tuft cell cytoskeleton. Three-dimensional reconstructions of segmented image data revealed a co-aligned actin-microtubule superstructure that may play a fundamental role in tuft cell function.

cell biology↗

bioRxiv2018

ERK1/2-dependent activation of FCHSD2 drives cancer cell-selective regulation of clathrin-mediated endocytosis

Clathrin-mediated endocytosis (CME) regulates the uptake of cell surface receptors, as well as their downstream signaling activities. We recently reported that signaling reciprocally regulates CME in cancer cells and that the crosstalk can contribute to cancer progression. To further explore the nature and extent of the crosstalk between signaling and CME in cancer cell biology, we analyzed a panel of oncogenic signaling kinase inhibitors for their effects on CME. Inhibition of several kinases selectively affected CME function in cancer cells. Among these, ERK1/2 inhibition selectively inhibited CME in cancer cells by decreasing the rate of CCP initiation. We identified an ERK1/2 substrate, the FCH/F-BAR and SH3 domain-containing protein, FCHSD2, as being essential for the ERK1/2-dependent effects on CME and CCP initiation. ERK1/2 phosphorylation activates FCHSD2 and regulates EGFR endocytic trafficking as well as downstream signaling activities. Loss of FCHSD2 activity in non-small-cell lung cancer cells leads to increased cell surface expression and altered signaling downstream of EGFR, resulting in enhanced cell proliferation and migration. The expression level of FCHSD2 is positively correlated with higher cancer patient survival rate, suggesting that FCHSD2 negatively affects cancer progression. These findings provide new insight into the mechanisms and consequences of the reciprocal regulation of signaling and CME in cancer cells.\n\nSignificanceClathrin-mediated endocytosis (CME) determines the internalization of receptors and their downstream signaling. We discovered that CME is differentially regulated by specific signaling kinases in cancer cells. In particular, ERK1/2-mediated phosphorylation of the FCH/F-BAR and double SH3 domains-containing protein 2 (FCHSD2) regulates CME, and the trafficking and signaling activities of EGF receptors. This reciprocal interaction negatively regulates cancer proliferation and migration. The expression level of FCHSD2 is positively correlated with higher cancer patient survival rates. This study identifies signaling pathways that impinge on the endocytic machinery and reveals a molecular nexus for crosstalk between intracellular signaling and CME. Cancer cells specifically adapt this crosstalk as a determinant for tumor progression, which has implications for novel therapeutics against cancers.

cell biology↗

bioRxiv2019

The nucleoporin ELYS regulates nuclear size by controlling NPC number and nuclear import capacity

How intracellular organelles acquire their characteristic sizes is a fundamental cell biological question. Given the stereotypical changes in nuclear size in cancer, it is particularly important to understand the mechanisms that control nuclear size in human cells. Here we use a high-throughput imaging RNAi screen to identify and mechanistically characterize ELYS, a nucleoporin required for postmitotic nuclear pore complex (NPC) assembly, as a determinant of nuclear size in mammalian cells. We show that ELYS knockdown results in small nuclei, the accumulation of cytoplasmic lamin aggregates, reduced nuclear lamin B2 localization, lower NPC density, and decreased nuclear import. Increasing nuclear import by importin overexpression rescues nuclear size and lamin B2 import, while inhibiting importin /{beta} nuclear import decreases nuclear size. Conversely, ELYS overexpression leads to increased nuclear size, enrichment of nuclear lamin B2 staining at the nuclear periphery, and elevated NPC density and nuclear import. Consistent with these observations, knockdown or inhibition of exportin 1 increases nuclear size. In summary, we identify ELYS and NPC density as novel positive effectors of mammalian nuclear size and propose that nuclear size is controlled by nuclear import capacity.

cell biology↗