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Defects in nuclear morphology often correlate with the onset of disease, including cancer, progeria, cardiomyopathy, and muscular dystrophy. However, the mechanism by which a cell controls its nuclear shape is unknown. Here, we use adhesive micropatterned surfaces to control the overall shape of fibroblasts and find that the shape of the nucleus is tightly regulated by the underlying cell adhesion geometry. We found that this regulation occurs through a dome-like actin cap that covers the top of the nucleus. This cap is composed of contractile actin filament bundles containing phosphorylated myosin, which form a highly organized, dynamic, and oriented structure in a wide variety of cells. The perinuclear actin cap is specifically disorganized or eliminated by inhibition of actomyosin contractility and rupture of the LINC complexes, which connect the nucleus to the actin cap. The organization of this actin cap and its nuclear shape-determining function are disrupted in cells from mouse models of accelerated aging (progeria) and muscular dystrophy with distorted nuclei caused by alterations of A-type lamins. These results highlight the interplay between cell shape, nuclear shape, and cell adhesion mediated by the perinuclear actin cap.

Nuclear morphological features are potent determining factors for clinical diagnostic approaches adopted by pathologists to analyze the malignant potential of cancer cells. Considering the structural alteration of the nucleus in cancer cells, various groups have developed machine learning techniques based on variation in nuclear morphometric information like nuclear shape, size, nucleus-cytoplasm ratio and various non-parametric methods like deep learning have also been tested for analyzing immunohistochemistry images of tissue samples for diagnosing various cancers. We aim to correlate the morphometric features of the nucleus along with the distribution of nuclear lamin proteins with classical machine learning to differentiate between normal and ovarian cancer tissues. It has already been elucidated that in ovarian cancer, the extent of alteration in nuclear shape and morphology can modulate genetic changes and thus can be utilized to predict the outcome of low to a high form of serous carcinoma. In this work, we have performed exhaustive imaging of ovarian cancer versus normal tissue and developed a dual pipeline architecture that combines the matrices of morphometric parameters with deep learning techniques of auto feature extraction from pre-processed images. This novel Deep Hybrid Learning model, though derived from classical machine learning algorithms and standard CNN, showed a training and validation AUC score of 0.99 whereas the test AUC score turned out to be 1.00. The improved feature engineering enabled us to differentiate between cancerous and non-cancerous samples successfully from this pilot study.

The nucleus of a living cell is constantly undergoing changes in shape and size as a result of various mechanical forces in physiology. These changes correlate with alterations in gene expression, however it is unclear whether nuclear deformation alone is sufficient to elicit these alterations. We used T-cell activation as a model system to test the coupling between nuclear deformation (elongation) and gene expression. Naïve T-cell activation with surrogate antigens resulted in actin dependent nuclear elongation. This was accompanied with Erk and NF-κB signaling to the nucleus to induce CD69 expression. Importantly, inhibiting actin polymerization abolished both nuclear elongation and CD69 expression, while inhibiting Erk, NF-κB or microtubule depolymerization only abolished expression but not elongation. Immobilization of antigen-coated beads, under conditions where actin polymerization was inhibited, rescued both nuclear elongation and CD69 expression. In addition, fibroblast cells plated on fibronectin micropatterns of different sizes showed correlation between nuclear shape index and tenascin C expression. Upon inhibiting the signaling intermediate Erk, tenascin C expression was down regulated although the nuclear shape index remained unaltered. Our results highlight the importance of specific signaling intermediates accompanied with nuclear deformation in the modulation of cellular genomic programs.

Triple negative breast cancer (TNBC) cells express increased levels of the pro-inflammatory and pro-angiogenic chemokine interleukin-8 (IL-8, CXCL8), which promotes their proliferation and migration. Because TNBC patients are unresponsive to current targeted therapies, new therapeutic strategies are urgently needed. While proteasome inhibition by bortezomib (BZ) or carfilzomib (CZ) has been effective in treating hematological malignancies, it has been less effective in solid tumors, including TNBC, but the mechanisms are incompletely understood. Here we report that proteasome inhibition significantly increases expression of IL-8, and its receptors CXCR1 and CXCR2, in TNBC cells. Suppression or neutralization of the BZ-induced IL-8 potentiates the BZ cytotoxic and anti-proliferative effect in TNBC cells. The IL-8 expression induced by proteasome inhibition in TNBC cells is mediated by IκB kinase (IKK), increased nuclear accumulation of p65 NFκB, and by IKK-dependent p65 recruitment to IL-8 promoter. Importantly, inhibition of IKK activity significantly decreases proliferation, migration, and invasion of BZ-treated TNBC cells. These data provide the first evidence demonstrating that proteasome inhibition increases the IL-8 signaling in TNBC cells, and suggesting that IKK inhibitors may increase effectiveness of proteasome inhibitors in treating TNBC.

The purpose of this study was to investigate the correlation of mutations of the fms-like tyrosine kinase ( FLT3 ) and nucleophosmin ( NPM1 ) genes with the cup-like nuclear morphology of blasts in patients with acute myeloid leukemia (AML). We retrospectively reviewed peripheral blood (PB) and bone marrow (BM) slides of 208 patients prepared at the time of diagnosis of AML based on the results of testing for mutations of both NPM1 exon 12 and FLT3 . We investigated the association between this phenotype and hematologic findings, disease markers, and mutations in NPM1 exon 12, FLT3 -internal tandem duplication (ITD), and tyrosine kinase domain (TKD) genes. Cup-like nuclei were found in 44 patients (21.2 %) diagnosed with AML. This morphology was associated with high blast counts in the PB and BM; AML type, especially AML M1 (FAB classification); low CD34 expression; and mutation of FLT3 -ITD, -TKD, NPM1 regardless of other mutations ( p  < 0.05 for all). However, FLT3 -ITD or TKD mutation alone (nine cases, p  = 0.228) was not associated, and NPM1 mutation alone (14 cases, p  = 0.036) was weakly associated with cup-like nuclei. Mutation of both NPM1 and FLT3 -ITD or TKD (17 cases, p  < 0.001) was strongly correlated with the cup-like nuclear morphology. AML with cup-like nuclei is strongly associated with co-occurring mutations of both NPM1 and FLT3 -ITD or TKD. Therefore, testing for both mutations is recommended for patients with the cup-like nuclear morphology.

Because differentiation of mesenchymal stem cells (MSCs) is enacted through the integration of soluble signaling factors and physical cues, including substrate architecture and exogenous mechanical stimulation, it is important to understand how micropatterned biomaterials may be optimized to enhance differentiation for the formation of functional soft tissues. In this work, macroscopic strain applied to MSCs in an aligned nanofibrous microenvironment elicited cellular and nuclear deformations that varied depending on scaffold orientation. Reorientation of aligned, oriented MSCs corresponded at the microscopic scale with the affine approximation of their deformation based on macroscopic strains. Moreover, deformations at the subcellular scale corresponded with scaffold orientation, with changes in nuclear shape depending on the direction of substrate alignment. Notably, these deformations induced changes in gene expression that were also dependent on scaffold and cell orientations. These findings demonstrate that directional biases in substrate microstructure convey direction-dependent mechanosensitivity to MSCs and provide an experimental framework in which to explore the mechanistic underpinnings of this response.

It has been previously shown that osteosarcoma (SaOs-2) cells respond to micropillared surfaces consisting of poly-l-lactic acid with strong deformation of the cell body and nucleus. Until now, cell nucleus deformation of SaOs-2 cells was only studied by exposing them to square shaped micropillars in an isotropic pattern. Here we report on experiments of the cell nucleus response of such cells to rhombic structures of different topographies generated from a rubbery polymer, namely poly(n-butyacrylate). It is observed that cells orientate themselves perpendicular to the long axis of the rhombi. While their spreading on the surface is not influenced by the opening angle of the structures, rhombic structures with sharper angles induce stronger deformation of the cells and accordingly more elongated nuclei.

The nucleus is typically treated as the large phase-dense or easy-to-label structure at the center of the cell which is manipulated by the governing mechanical machinery inside the cytoplasm. However, recent evidence has suggested that the mechanical properties of the nucleus are important to cell fate. We will discuss many aspects of the structural and functional interconnections between nuclear mechanics and cellular mechanics in this review. There are numerous implications for the progression of many disease states associated with both nuclear structural proteins and cancers. The nucleus itself is a large organelle taking up significant volume within the cell, and most studies agree that nuclei are significantly stiffer than the surrounding cytoplasm. Thus when a cell is exposed to force, the nucleus is exposed to and helps resist that force. The nucleus and nucleoskeleton are interconnected with the cellular cytoskeleton, and these connections may aid in helping disperse forces within tissues and/or with mechanotransduction. During translocation and transmigration the nucleus can act as a resistive element. Understanding the role of mechanical regulation of the nucleus may aid in understanding cellular motility and crawling through confined geometries. Thus the nucleus plays a role in developing mechanical territories and niches, affecting rates of wound healing and allowing cells to transmigrate through tissues for developmental, repair or pathological means.

Mesenchymal stem cell shape and fate are intrinsic manifestations of form and function at the cellular level. We hypothesize that cell seeding density and initial seeding protocol influence stem cell shape and fate. Nucleus shape and early (within days of seeding) expression of genes typical for pre-, peri-, and postcondensation events were compared between groups of cells after seeding at or proliferating to target density (low density [LD], 16,500 cells/cm 2 ; high density [HD], 35,000 cells/cm 2 ; very high density [VHD], 86,500 cells/cm 2 ). Significant differences in nuclear shape could be attributed to seeding protocol in the VHD group, where nuclei from cells that proliferated to VHD were significantly rounder than nuclei from cells seeded at target VHD. Furthermore, cells that proliferated to VHD exhibited significantly rounder nuclei than nuclei from all other cell density and seeding protocol groups. In contrast, nuclei from cells that were seeded at the VHD were flatter than nuclei from cells of all other groups. Furthermore, the significant rounding of nuclei in the cells that proliferated to VHD was accompanied by a two-, six-, and ninefold increase from baseline in Runx2 , Sox9 , and Aggrecan ( AGC ) expression, markers indicative of precondensation, peri-, and post-condensation events, respectively. None of the other groups showed significant changes in gene expression over baseline. Finally, seeding at target density results in greater overlap of cells compared to groups in which cells proliferate to target density, conferring increased thickness to multicellular culture aggregates seeded at target density. These data suggest that seeding protocols can be exploited to modulate mesenchymal stem cell shape and early gene expression typical for condensation events in development, which occur over an approximately 12-h period at E11.5 in the mouse limb bud. Follow-on studies will delineate longer-term effects of density and seeding protocol on modulation of stem cell fate and cell assembly to form tissues.

Phenotype of cultured ocular epithelial transplants has been shown to affect clinical success rates following transplantation to the cornea. The purpose of this study was to evaluate the relationship between cell nucleus morphometry and phenotype in three types of cultured epithelial cells. This study provides knowledge for the development of a non-invasive method of determining the phenotype of cultured epithelium before transplantation. Cultured human conjunctival epithelial cells (HCjE), human epidermal keratinocytes (HEK), and human retinal pigment epithelial cells (HRPE) were analyzed by quantitative immunofluorescence. Assessments of nucleus morphometry and nucleus-to-cytoplasm ratio (N/C ratio) were performed using ImageJ. Spearman’s correlation coefficient was employed for statistical analysis. Levels of the proliferation marker PCNA in HCjE, HEK, and HRPE correlated positively with nuclear area. Nuclear area correlated significantly with levels of the undifferentiated cell marker ABCG2 in HCjE. Bmi1 levels, but not p63α levels, correlated significantly with nuclear area in HEK. The N/C ratio did not correlate significantly with any of the immunomarkers in HCjE (ABCG2, CK7, and PCNA) and HRPE (PCNA). In HEK, however, the N/C ratio was negatively correlated with levels of the undifferentiated cell marker CK14 and positively correlated with Bmi1 expression. The size of the nuclear area correlated positively with proliferation markers in all three epithelia. Morphometric indicators of phenotype in cultured epithelia can be identified using ImageJ. Conversely, the N/C ratio did not show a uniform relationship with phenotype in HCjE, HEK, or HRPE. N/C ratio therefore, may not be a useful morphometric marker for in vitro assessment of phenotype in these three epithelia.