Immunohistochemical Basigin Expression Level in Thyroid Cancer Tissues

Abstract Background: Thyroid cancer (TC) is the most common endocrine malignancy, Basigin (also known as BSG) plays a crucial role in tumor cell invasion, metastasis, and angiogenesis. This study was designed to identify the change of BSG expression in TC and its possible potential mechanism. Methods: The BSG expression levels in TC were demonstrated using data collected from in-house immunohistochemical (IHC), RNA-sequencing (RNA-seq), microarrays and literatures. Integrated analysis was performed to determined BSG expression levels in TC comprehensively. The gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed with the integration of BSG co-expressed genes and differentially expressed genes (DEGs) in TC tissues to explore the potential mechanisms of BSG in TC. Results: The protein expression level of BSG was significantly higher in TC cases based on the IHC experiments. In addition, the combined SMD for BSG expression was 0.39 (p<0.0001), the diagnostic odds ratio was 3.69, and the AUC of the sROC curve was 0.6986 using 1182 TC cases and 437 non-cancerous cases from 17 independent datasets. Furthermore, BSG co-expressed genes tended to be enriched in gene terms of the extracellular matrix (ECM), cell adhesion, and cell-cell interactions. The expression levels of nine hub BSG co-expressed genes were markedly up-regulated in TC cases. Conclusion: BSG expression levels were closely correlated with the progression of TC and may affect the signals of the ECM, cell adhesion, and cell-cell interactions.

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Immunohistochemical Basigin Expression Level in Thyroid Cancer Tissues

10.21203/rs.3.rs-23896/v1 ◽

2020 ◽

Author(s):

Wan-Ping Guo ◽

Deng Tang ◽

Yu-Yan Pang ◽

Xiao-Jiao Li ◽

Gang Chen ◽

...

Keyword(s):

Thyroid Cancer ◽

Cell Adhesion ◽

Diagnostic Odds Ratio ◽

Cell Interactions ◽

Expression Level ◽

Integrated Analysis ◽

Expression Levels ◽

Using Data ◽

Cancer Tissues ◽

Cell Cell

Abstract Background Thyroid cancer (TC) is the most common endocrine malignancy, Basigin (also known as BSG) plays a crucial role in tumor cell invasion, metastasis, and angiogenesis. This study was designed to identify the change of BSG expression in TC and its possible potential mechanism. Methods The BSG expression levels in TC were demonstrated using data collected from in-house immunohistochemical (IHC), RNA-sequencing (RNA-seq), microarrays and literatures. Integrated analysis was performed to determined BSG expression levels in TC comprehensively. The gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed with the integration of BSG co-expressed genes and differentially expressed genes (DEGs) in TC tissues to explore the potential mechanisms of BSG in TC. Results The protein expression level of BSG was significantly higher in TC cases based on the IHC experiments. In addition, the combined SMD for BSG expression was 0.39 (p < 0.0001), the diagnostic odds ratio was 3.69, and the AUC of the sROC curve was 0.6986 using 1182 TC cases and 437 non-cancerous cases from 17 independent datasets. Furthermore, BSG co-expressed genes tended to be enriched in gene terms of the extracellular matrix (ECM), cell adhesion, and cell-cell interactions. The expression levels of nine hub BSG co-expressed genes were markedly up-regulated in TC cases. Conclusion BSG expression levels were closely correlated with the progression of TC and may affect the signals of the ECM, cell adhesion, and cell-cell interactions.

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An Integrated Analysis of The Prognosis And Immune Cell Infiltration of ITGB Superfamily Members In Gastric Cancer

10.21203/rs.3.rs-689050/v1 ◽

2021 ◽

Author(s):

Chuan-hong Li ◽

Lei Meng ◽

Zhang-ming Chen ◽

Wan-nian Sui ◽

Pei-feng Chen ◽

...

Keyword(s):

Gastric Cancer ◽

T Cells ◽

Cell Adhesion ◽

Mrna Expression ◽

Cell Lines ◽

Survival Data ◽

Expression Patterns ◽

Expression Level ◽

Integrated Analysis ◽

Expression Levels

Abstract Background:Members of the integrin β superfamily(ITGBs) have been shown to be aberrantly expressed in various human cancers and involved in tumorigenesis and progression. However, the diverse expression patterns and prognostic values of the entire ITGB family members in gastric cancer(GC) has not been systematically investigated.Methods:In the current study, Oncomine, GEPIA, Kaplan Meier plotter, TIMER, GeneMANIA, STRING and Metascape database were employed to explore the transcriptional and survival data of ITGB superfamily members in GC. Moreover, we confirmed the mRNA expression levels of ITGB superfamily members in GC cell lines by qRT-PCR.Results:The mRNA expression level of ITGB1/2/4/5/8 was upregulated in GC, while the expression level of ITGB7 was downregulated. Higher expression of ITGB2/7 was significantly associated with the tumor stage of patients with GC. However, we found that the expression level of ITGB1/2/4/5/6/7/8 was remarkably increased in GC cell lines compared to stomach normal cell lines, while ITGB3 expression was decreased in the former than in the latter. Meanwhile,higher expression levels of ITGB2/6/7 were closely correlated with better overall clinical survival (OS) and recurrence-free survival (RFS) in GC patients, while higher ITGB3/4/5 expression were strongly associated with poorer OS and RFS.We also discovered that the functions of ITGBs and their adjacent genes are mainly related to protein complexes involved in cell adhesion. the functions of ITGBs and their adjacent proteins are mainly related to focal adhesion, cell adhesion molecules, proteoglycans in cancer, small cell lung cancer, rap1 signaling pathway, IgA production by intestinal immune network, and microRNAs in cancer.In addition, the expression of ITGBs was significantly correlated with the infiltration of multiple immune cells, including B cells, CD8+ T cells, CD4+ T cells, neutrophils, macrophages, and dendritic cells.Conclusions:Our results suggested that abnormal expression of ITGBs plays a key role in the progression of GC and that ITGBs may be potential prognostic biomarkers and therapeutic targets for GC.

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Cell Adhesion

Tissue Engineering ◽

10.1093/oso/9780195141306.003.0011 ◽

2004 ◽

Author(s):

W. Mark Saltzman

Keyword(s):

Extracellular Matrix ◽

Cell Migration ◽

Cell Adhesion ◽

Cell Surface ◽

Extracellular Space ◽

Cell Aggregation ◽

Solid Substrate ◽

Cell Interactions ◽

Phospholipid Bilayer ◽

Cell Cell

The external surface of the cell consists of a phospholipid bilayer which carries a carbohydrate-rich coat called the glycocalyx; ionizable groups within the glycocalyx, such as sialic acid (N-acetyl neuraminate), contribute a net negative charge to the cell surface. Many of the carbohydrates that form the glycocalyx are bound to membrane-associated proteins. Each of these components— phospholipid bilayer, carbohydrate-rich coat, membrane-associated protein—has distinct physicochemical characteristics and is abundant. Plasma membranes contain ∼50% protein, ∼45% lipid, and ∼5% carbohydrate by weight. Therefore, each component influences cell interactions with the external environment in important ways. Cells can become attached to surfaces. The surface of interest may be geometrically complex (for example, the surface of another cell, a virus, a fiber, or an irregular object), but this chapter will focus on adhesion between a cell and a planar surface. The consequences of cell–cell adhesion are considered further in Chapter 8 (Cell Aggregation and Tissue Equivalents) and Chapter 9 (Tissue Barriers to Molecular and Cellular Transport). The consequences of cell–substrate adhesion are considered further in Chapter 7 (Cell Migration) and Chapter 12 (Cell Interactions with Polymers). Since the growth and function of many tissue-derived cells required attachment and spreading on a solid substrate, the events surrounding cell adhesion are fundamentally important. In addition, the strength of cell adhesion is an important determinant of the rate of cell migration, the kinetics of cell–cell aggregation, and the magnitude of tissue barriers to cell and molecule transport. Cell adhesion is therefore a major consideration in the development of methods and materials for cell delivery, tissue engineering, and tissue regeneration. The most stable and versatile mechanism for cell adhesion involves the specific association of cell surface glycoproteins, called receptors, and complementary molecules in the extracellular space, called ligands. Ligands may exist freely in the extracellular space, they may be associated with the extracellular matrix, or they may be attached to the surface of another cell. Cell–cell adhesion can occur by homophilic binding of identical receptors on different cells, by heterophilic binding of a receptor to a ligand expressed on the surface of a different cell, or by association of two receptors with an intermediate linker. Cell–matrix adhesion usually occurs by heterophilic binding of a receptor to a ligand attached to an insoluble element of the extracellular matrix.

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Modulation of cell-cell interactions for neural tissue engineering: Potential therapeutic applications of cell adhesion molecules in nerve regeneration

Biomaterials ◽

10.1016/j.biomaterials.2019.01.030 ◽

2019 ◽

Vol 197 ◽

pp. 327-344 ◽

Cited By ~ 11

Author(s):

Wai Hon Chooi ◽

Sing Yian Chew

Keyword(s):

Tissue Engineering ◽

Cell Adhesion ◽

Nerve Regeneration ◽

Adhesion Molecules ◽

Cell Adhesion Molecules ◽

Neural Tissue ◽

Cell Interactions ◽

Neural Tissue Engineering ◽

Therapeutic Applications ◽

Cell Cell

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Using approximate Bayesian computation to quantify cell-cell adhesion parameters in a cell migratory process

10.1101/068791 ◽

2016 ◽

Author(s):

Robert J. H. Ross ◽

R. E. Baker ◽

Andrew Parker ◽

M. J. Ford ◽

R. L. Mort ◽

...

Keyword(s):

Cell Adhesion ◽

Approximate Bayesian Computation ◽

Cell Interactions ◽

Model Parameters ◽

Bayesian Computation ◽

Accurate Identification ◽

A Cell ◽

Approximate Bayesian ◽

Set Up ◽

Cell Cell

AbstractIn this work we implement approximate Bayesian computational methods to improve the design of a wound-healing assay used to quantify cell-cell interactions. This is important as cell-cell interactions, such as adhesion and repulsion, have been shown to play an important role in cell migration. Initially, we demonstrate with a model of an ideal experiment that we are able to identify model parameters for agent motility and adhesion, given we choose appropriate summary statistics. Following this, we replace our model of an ideal experiment with a model representative of a practically realisable experiment. We demonstrate that, given the current (and commonly used) experimental set-up, model parameters cannot be accurately identified using approximate Bayesian computation methods. We compare new experimental designs through simulation, and show more accurate identification of model parameters is possible by expanding the size of the domain upon which the experiment is performed, as opposed to increasing the number of experimental repeats. The results presented in this work therefore describe time and cost-saving alterations for a commonly performed experiment for identifying cell motility parameters. Moreover, the results presented in this work will be of interest to those concerned with performing experiments that allow for the accurate identification of parameters governing cell migratory processes, especially cell migratory processes in which cell-cell adhesion or repulsion are known to play a significant role.

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IMP3 accelerates the progression of prostate cancer through inhibiting PTEN expression in a SMURF1-dependent way

Journal of Experimental & Clinical Cancer Research ◽

10.1186/s13046-020-01657-0 ◽

2020 ◽

Vol 39 (1) ◽

Author(s):

Xiang Zhang ◽

Dawei Wang ◽

Boke Liu ◽

Xingwei Jin ◽

Xianjin Wang ◽

...

Keyword(s):

Prostate Cancer ◽

Cell Viability ◽

Signaling Pathway ◽

Cell Lines ◽

Western Blotting ◽

Cell Apoptosis ◽

Expression Level ◽

Mtor Signaling Pathway ◽

Expression Levels ◽

Cancer Tissues

Abstract Background Insulin-like growth factor 2 (IGF2) messenger RNA binding protein 3 (IMP3) has been testified to be overexpressed in prostate cancer and strongly related to patients’ poor prognosis. However, the functions of IMP3 and the underlying mechanisms in prostate cancer still remain unknown. Therefore, the current study was carried out to reveal the role and molecular mechanism of IMP3 in prostate cancer progression. Methods The expression levels of IMP3 in prostate cancer tissues and cells were detected by immunohistochemistry (IHC), western blotting and RT-PCR. CCK-8, clone formation, flow cytometry and in vivo tumor formation assays were used to determine cell growth, clone formation apoptosis and tumorigenesis, respectively. The effect of IMP3 on the expression levels of the key proteins in PI3K/AKT/mTOR signaling pathway, including PIP2, PIP3, p-AKT, AKT, p-mTOR, mTOR, PTEN and BAD activation of was determined by western blotting. IP (Immunoprecipitation) assay was used to evaluate the effects of IMP3 and SMURF1 (SMAD specific E3 ubiquitin protein ligase 1) on the ubiquitination of PTEN protein. Results IMP3 expression level was significantly increased in prostate cancer tissues and cell lines (LNCap, PC3 and DU145) as compared with the paracancerous normal tissues and cells (RWPE-1), respectively. High expression of IMP3 apparently promoted cell viability, tumorigenesis and inhibited cell apoptosis in prostate cancer LNCap, DU145 and PC3 cell lines. In mechanism, IMP3 upregulation significantly increased the phosphorylation levels of AKT and mTOR, and elevated PIP3 expression level, while induced significant reductions in the expression levels of BAD, PTEN and PIP2. And, IMP3 overexpression increased SMURF1 expression, which facilitated PTEN ubiquitination. In addition, SMURF1 overexpression enhanced prostate cancer cell viability and inhibited cell apoptosis. Silence of SMURF1 rescued the enhancements in cell proliferation and tumorigenesis and the inhibition in cell apoptosis rates induced by IMP3 in prostate cancer DU145 and LNCap cells. Conclusion This study reveals that IMP3 is overdressed in prostate cancer, which accelerates the progression of prostate cancer through activating PI3K/AKT/mTOR signaling pathway via increasing SMURF1-mediated PTEN ubiquitination.

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Computational modelling of epidermal stratification highlights the importance of asymmetric cell division for predictable and robust layer formation

Journal of The Royal Society Interface ◽

10.1098/rsif.2014.0631 ◽

2014 ◽

Vol 11 (99) ◽

pp. 20140631 ◽

Cited By ~ 21

Author(s):

Alexander Gord ◽

William R. Holmes ◽

Xing Dai ◽

Qing Nie

Keyword(s):

Cell Adhesion ◽

Cell Division ◽

Asymmetric Cell Division ◽

Three Dimensional ◽

Interaction Strength ◽

Computational Modelling ◽

Protective Layer ◽

The Body ◽

Cell Interactions ◽

Cell Cell

Skin is a complex organ tasked with, among other functions, protecting the body from the outside world. Its outermost protective layer, the epidermis, is comprised of multiple cell layers that are derived from a single-layered ectoderm during development. Using a new stochastic, multi-scale computational modelling framework, the anisotropic subcellular element method, we investigate the role of cell morphology and biophysical cell–cell interactions in the formation of this layered structure. This three-dimensional framework describes interactions between collections of hundreds to thousands of cells and (i) accounts for intracellular structure and morphology, (ii) easily incorporates complex cell–cell interactions and (iii) can be efficiently implemented on parallel architectures. We use this approach to construct a model of the developing epidermis that accounts for the internal polarity of ectodermal cells and their columnar morphology. Using this model, we show that cell detachment, which has been previously suggested to have a role in this process, leads to unpredictable, randomized stratification and that this cannot be abrogated by adjustment of cell–cell adhesion interaction strength. Polarized distribution of cell adhesion proteins, motivated by epithelial polarization, can however eliminate this detachment, and in conjunction with asymmetric cell division lead to robust and predictable development.

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