Abstract 29: Isolation of Cardiomyocytes Undergoing Mitosis with Complete Cytokinesis

2017 ◽  
Vol 121 (suppl_1) ◽  
Author(s):  
Hsiaoyun Y Milliron ◽  
Matthew Weiland ◽  
Megan Bowman ◽  
Stefan Jovinge
Keyword(s):  
Cell Cycle ◽  
Molecular Beacon ◽  
Transcriptional Profiling ◽  
Enrichment Analysis ◽  
Cardiac Regeneration ◽  
Gene Set Enrichment Analysis ◽  
Gene Expressions ◽  
M Phase ◽  
Cell Fractions ◽  
Phase Population

Adult cardiomyocytes (CMs) fail to exit the cell cycle and result in polyploidization and multi-nucleation. This extremely limited renewal potential is a key barrier for cardiac regeneration after heart injury. The use of traditional cell cycle assays such as Ki67 or purine analogue administration does not allow for isolation of viable CMs in late-M phase. We hypothesize that a molecular beacon (MB)-based method could be developed to isolate a highly pure population of hiPSC-derived CMs capable of completing mitosis and cytokinesis. We first differentiated human PSCs into cardiomyocytes using the small molecules CHIR and IWR and then applied MBs targeting CDC20 mRNAs, followed by fluorescence-activated cell sorting (FACS). Validation of cell cycle-specific and mitosis-associated gene expressions of cell fractions sorted from G2 and M-phase were performed by RT-qPCR prior to transcriptional profiling by single-cell RNA sequencing. Gene set enrichment analysis (GSEA) confirmed the observation of the gene ontology (GO) analysis. The ‘GO_cytokinesis’ and the ‘GO_cell separation after cytokinesis’ gene sets were highly enriched and predominantly upregulated in the CDC20 (+) (M-phase) population compared with the CDC20 (-) (G2-phase) population. Furthermore, using these data sets we expect to develop robust surface marker based flow cytometry protocols at a number and purity allowing for statistically significant genome-wide integrative transcriptome and epigenome analysis. In conclusion, the isolation of CMs using CDC20 MB and DNA content dye proved to enrich for cells that were confirmed by GSEA to be CMs in cytokinesis.

CENPF/CDK1 Signaling Pathway Enhances the Progression of Adrenocortical Carcinoma by Regulating the G2/M-phase Cell Cycle

2021 ◽  
Author(s):  
Yugang Huang ◽  
Dan Li ◽  
Li Wang ◽  
Xiaomin Su ◽  
Xian-bin Tang
Keyword(s):  
Cell Cycle ◽  
Signaling Pathway ◽  
Adrenocortical Carcinoma ◽  
Immune Cell ◽  
Interaction Network ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Phase Cell ◽  
Aberrant Expression ◽  
M Phase

Abstract Adrenocortical carcinoma (ACC) is an aggressive and rare malignant tumor and prone to local invasion and metastasis. While, overexpressed Centromere Protein F (CENPF) is closely related to oncogenesis of various neoplasms, including ACC. However, the prognosis and exact biological function of CENPF in ACC remains largely unclear. In present essay, the expression of CENPF in human ACC samples, GEO and TCGA databases depicted that CENPF were overtly hyper-expressed in ACC patients and positively correlated with tumor stage. The aberrant expression of CENPF was significantly correlated with unfavorable overall survival (OS) in ACC patients. Then, the application of gene-set enrichment analysis (GSEA) declared that CENPF was mainly involved in the G2/M-phase mediated cell cycle and p53 signaling pathway. Further, a small RNA interference experiment was conducted to demonstrate that the interaction between CENPF and CDK1 enhanced the G2/M-phase transition of mitosis, cell proliferation and might induce p53 mediated anti-tumor effect in human ACC cell line, SW13 cells. Lastly, two available therapeutic strategies, including immunotherapy and chemotherapy, have been further probed. Immune infiltration analysis highlighted that ACC patients with high CENPF expression harbored significantly different immune cell populations, and high TMB/MSI score. Then, the gene-drug interaction network stated that CENPF inhibitors, such as Cisplatin, Sunitinib, and Etoposide, might serve as potential drugs for the therapy of ACC. Briefly, CENPF and related genes might be served as a novel prognostic biomarker or latent therapeutic target for ACC patients.

scholarly journals CSIG-03. RECONCILING TUMOR HETEROGENEITY IN GLIOBLASTOMA USING A PATHWAY-BASED APPROACH

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii28-ii28
Author(s):  
Alvaro Alvarado ◽  
Kaleab Tessema ◽  
Kunal Patel ◽  
Riki Kawaguchi ◽  
Richard Everson ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Patient Survival ◽  
Molecular Subtype ◽  
Gene List ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Molecular Architecture ◽  
Survival Pathways ◽  
Cancer Genome Atlas

Abstract Despite efforts to gain a deeper understanding of its molecular architecture, glioblastoma (GBM) remains uniformly fatal. While genome-based molecular subtyping has revealed that GBMs may be parsed into several molecularly distinct categories, this insight has yielded little progress towards extending patient survival. In particular, the great phenotypic heterogeneity of GBM – both inter and intratumorally – has hindered therapeutic efforts. To this end, we interrogated tumor samples using a pathway-based approach to resolve tumoral heterogeneity. Gene set enrichment analysis (GSEA) was applied to gene expression data and used to provide an overview of each sample that can be compared to other samples by generating sample clusters based on overall patterns of enrichment. The Cancer Genome Atlas (TCGA) samples were clustered using the canonical and oncogenic signatures and in both cases the clustering was distinct from the molecular subtype previously reported and clusters were informative of patient survival. We also analyzed single cell RNA sequencing datasets and uniformly found two clusters of cells enriched for cell cycle regulation and survival pathways. We have validated our approach by generating gene lists from common elements found in the top contributing genesets for a particular cluster and testing the top targets in appropriate gliomasphere patient-derived lines. Samples enriched for cell cycle related genesets showed a decrease in sphere formation capacity when E2F1, out top target, was silenced and when treated with fulvestrant and calcitriol, which were identified as potential drugs targeting this genelist. Conversely, no changes were observed in samples not enriched for this gene list. Finally, we interrogated spatial heterogeneity and found higher enrichment of the proliferative signature in contrast enhancing compared with non-enhancing regions. Our studies relate inter- and intratumoral heterogeneity to critical cellular pathways dysregulated in GBM, with the ultimate goal of establishing a pipeline for patient- and tumor-specific precision medicine.

scholarly journals Identification of a five-gene signature in association with overall survival for hepatocellular carcinoma

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11273
Author(s):  
Lei Yang ◽  
Weilong Yin ◽  
Xuechen Liu ◽  
Fangcun Li ◽  
Li Ma ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cell Cycle ◽  
Overall Survival ◽  
Cox Regression ◽  
Enrichment Analysis ◽  
Gene Signature ◽  
Gene Set Enrichment Analysis ◽  
Enrichment Score ◽  
Hub Genes ◽  
Cox Regression Analysis

Background Hepatocellular carcinoma (HCC) is considered to be a malignant tumor with a high incidence and a high mortality. Accurate prognostic models are urgently needed. The present study was aimed at screening the critical genes for prognosis of HCC. Methods The GSE25097, GSE14520, GSE36376 and GSE76427 datasets were obtained from Gene Expression Omnibus (GEO). We used GEO2R to screen differentially expressed genes (DEGs). A protein-protein interaction network of the DEGs was constructed by Cytoscape in order to find hub genes by module analysis. The Metascape was performed to discover biological functions and pathway enrichment of DEGs. MCODE components were calculated to construct a module complex of DEGs. Then, gene set enrichment analysis (GSEA) was used for gene enrichment analysis. ONCOMINE was employed to assess the mRNA expression levels of key genes in HCC, and the survival analysis was conducted using the array from The Cancer Genome Atlas (TCGA) of HCC. Then, the LASSO Cox regression model was performed to establish and identify the prognostic gene signature. We validated the prognostic value of the gene signature in the TCGA cohort. Results We screened out 10 hub genes which were all up-regulated in HCC tissue. They mainly enrich in mitotic cell cycle process. The GSEA results showed that these data sets had good enrichment score and significance in the cell cycle pathway. Each candidate gene may be an indicator of prognostic factors in the development of HCC. However, hub genes expression was weekly associated with overall survival in HCC patients. LASSO Cox regression analysis validated a five-gene signature (including CDC20, CCNB2, NCAPG, ASPM and NUSAP1). These results suggest that five-gene signature model may provide clues for clinical prognostic biomarker of HCC.

scholarly journals A novel mouse model expressing human forms for complement receptors CR1 and CR2

2019 ◽  
Author(s):  
Harriet M. Jackson ◽  
Kate E. Foley ◽  
Rita O’Rourke ◽  
Timothy M. Stearns ◽  
Dina Fathalla ◽  
...  
Keyword(s):  
Mouse Model ◽  
Lupus Erythematosus ◽  
Transcriptional Profiling ◽  
Enrichment Analysis ◽  
Cell Number ◽  
Gene Set Enrichment Analysis ◽  
Human Populations ◽  
Complement Cascade ◽  
Complement Receptors ◽  
Human Complement

AbstractThe complement cascade is increasingly implicated in development of a variety of diseases with strong immune contributions such as Alzheimer’s disease and Systemic Lupus Erythematosus. Mouse models have been used to determine function of central components of the complement cascade such as C1q and C3. However, species differences in their gene structures mean that mice do not adequately replicate human complement regulators, including CR1 and CR2. Genetic variation in CR1 and CR2 have been implicated in modifying disease states but the mechanisms are not known. To decipher the roles of human CR1 and CR2 in health and disease, we engineered C57BL/6J (B6) mice to replace endogenous murine Cr2 with human complement receptors, CR1 and CR2 (B6.CR2CR1). CR1 has an array of allotypes in human populations and using traditional recombination methods (Flp-frt and Cre-loxP) two of the most common alleles (referred to as CR1long and CR1short) are replicated within this mouse model, along with a CR1 knockout allele (CR1KO). Transcriptional profiling of spleens and brains identifies genes and pathways differentially expressed between mice homozygous for either CR1long, CR1short or CR1KO. Gene set enrichment analysis predicts hematopoietic cell number and cell infiltration are modulated by CR1long, but not CR1short or CR1KO. Therefore, this mouse model provides a novel tool for determining the relationship between human-relevant CR1 alleles and disease.Summary StatementWe present the creation and validation of a novel mouse model that expresses human forms of complement cascade regulators CR1 and CR2.

Abstract 20134: Transcriptional Profiling Identifies Candidate Regulators of Neonatal Heart Regeneration

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Caitlin O’Meara ◽  
Joseph Wamstad ◽  
Laurie Boyer ◽  
Richard T Lee
Keyword(s):  
Cell Cycle ◽  
Transcriptional Profiling ◽  
Cardiac Regeneration ◽  
Heart Regeneration ◽  
Transcriptional Signature ◽  
Adult Mice ◽  
Neonatal Heart ◽  
Sirna Knockdown

Some higher organisms, such as zebrafish and neonatal mice, are capable of complete and sufficient regeneration of the myocardium following injury, which is thought to occur primarily by proliferation of pre-existing cardiomyocytes. Although adult humans and adult mice lack this cardiac regeneration potential, there is great interest in understanding how regeneration can occur in the heart so that we can activate this process in humans suffering from heart failure. The aim of our study was to identify mechanisms by which mature, post-mitotic adult cardiomyocytes can re-enter the cell cycle to ultimately facilitate heart regeneration following injury. We derived a core transcriptional signature of injury-induced cardiomyocyte regeneration in mouse by comparing global transcriptional programs in a dynamic model of in vitro and in vivo cardiomyocyte differentiation and in an in vitro cardiomyocyte explant model, as well as a neonatal heart resection model. We identified a panel of transcription factors, growth factors, and cytokines, whose expression significantly correlated with the differentiated state of the cell in all datasets examined, suggesting that these factors play a role in regulating cardiomyocyte cell state. Furthermore, potential upstream regulators of core differentially expressed networks were identified using Ingenuity Pathway Analysis and we found that one predicted regulator, interleukin-13 (IL13), significantly induced cardiomyocyte cell cycle activity and STAT6/STAT3 signaling in vitro. siRNA knockdown experiments demonstrated that STAT3/periostin and STAT6 signaling are critical for cardiomyocyte cell cycle activity in response to IL13. These data reveal novel insights into the transcriptional regulation of mammalian heart regeneration and provide the founding circuitry for identifying potential regulators for stimulating cardiomyocyte cell cycle activity.

scholarly journals A novel mouse model expressing human forms for complement receptors CR1 and CR2

BMC Genetics ◽  
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Harriet M. Jackson ◽  
Kate E. Foley ◽  
Rita O’Rourke ◽  
Timothy M. Stearns ◽  
Dina Fathalla ◽  
...  
Keyword(s):  
Mouse Model ◽  
Lupus Erythematosus ◽  
Transcriptional Profiling ◽  
Enrichment Analysis ◽  
Cell Number ◽  
Gene Set Enrichment Analysis ◽  
Human Populations ◽  
Complement Cascade ◽  
Complement Receptors ◽  
Human Complement

Abstract Background The complement cascade is increasingly implicated in development of a variety of diseases with strong immune contributions such as Alzheimer’s disease and Systemic Lupus Erythematosus. Mouse models have been used to determine function of central components of the complement cascade such as C1q and C3. However, species differences in their gene structures mean that mice do not adequately replicate human complement regulators, including CR1 and CR2. Genetic variation in CR1 and CR2 have been implicated in modifying disease states but the mechanisms are not known. Results To decipher the roles of human CR1 and CR2 in health and disease, we engineered C57BL/6J (B6) mice to replace endogenous murine Cr2 with human complement receptors, CR1 and CR2 (B6.CR2CR1). CR1 has an array of allotypes in human populations and using traditional recombination methods (Flp-frt and Cre-loxP) two of the most common alleles (referred to here as CR1long and CR1short) can be replicated within this mouse model, along with a CR1 knockout allele (CR1KO). Transcriptional profiling of spleens and brains identified genes and pathways differentially expressed between mice homozygous for either CR1long, CR1short or CR1KO. Gene set enrichment analysis predicts hematopoietic cell number and cell infiltration are modulated by CR1long, but not CR1short or CR1KO. Conclusion The B6.CR2CR1 mouse model provides a novel tool for determining the relationship between human-relevant CR1 alleles and disease.

Identification of disregulated cell cycle pathway in nasopharyngeal carcinoma by gene set enrichment analysis

2008 ◽  
Vol 32 (3) ◽  
pp. S39-S39
Author(s):  
Wen Ling Zhang ◽  
Zhao Yang Zeng ◽  
Wei Xiong ◽  
Yan Hong Zhou ◽  
Song Qing Fan ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Nasopharyngeal Carcinoma ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Gene Set Enrichment ◽  
Gene Set ◽  
Cell Cycle Pathway

RNA profiling of neuroendocrine tumors (NETs) to define new targets and mechanisms of progression.

2017 ◽  
Vol 35 (4_suppl) ◽  
pp. 302-302
Author(s):  
Namrata Vijayvergia ◽  
Suraj Peri ◽  
Karthik Devarajan ◽  
Jianming Pei ◽  
Yulan Gong ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cell Cycle ◽  
Drug Targets ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Enrichment Score ◽  
Rna Profiling ◽  
Histone Lysine Methyltransferase ◽  
Canonical Pathways ◽  
Lysine Methyltransferase

302 Background: NETs lack mutations in the “classical” signaling pathways but share mutations in regulators of gene expression (Jiao; 2011). We compared gene expression in PD & WD NETs to identify novel targets and biomarkers of differentiation. Methods: High quality RNA, extracted from paraffin blocks of deidentified NETs under an IRB-approved protocol, was profiled using a 770 gene panel (nCounter PanCancer pathway, Nanostring Technologies). The resulting data was used to identify the differentially expressed genes between PD and WD NETs using limma software (Ritchie; 2015). Gene Set Enrichment Analysis (Subramanian; 2005) identified differential pathway enrichment by calculating a Normalized Enrichment Score (NES). Results: Analysis of 16 PD and 23 WD NET samples identified 154 genes as extreme outliers ( > 2 fold up/downregulation between the subtypes). Compared to WD NETS, drug targets of interest overexpressed in PD NETs were histone lysine methyltransferase EZH2, and a cell cycle regulator CHEK1 (6.5x and 8.1x, respectively, p < 0.001). In contrast, serine/threonine protein kinase PAK 3 was upregulated in WD (10.6x, p < 0.001). These and other biomarkers will be further validated by immunolabeling of tissue sections. We also found differential enrichment of canonical pathways in PD versus WD NETs (table). Conclusions: Extreme outlier transcripts identified in PD & WD NETs support investigation of inhibitors of EZH2 (e.g. EPZ6438) and CHEK1 (e.g. LY2606368) in PD and PAK3(e.g. FRAX597) in WD NETs. Genes involved in cell cycle regulation and DNA repair in PD NETs and calcium / G protein coupled receptor signaling in WD NET account for biological differences between the 2 molecular subtypes and warrant future investigation as classifiers for NETs. Our findings provide mechanistic insights into the biology of NET and targets for therapy with direct clinical implications.[Table: see text]

scholarly journals Transcriptome profiling of embryonic retinal pigment epithelium reprogramming

2021 ◽  
Author(s):  
Jared A Tangeman ◽  
Agustín Luz-Madrigal ◽  
Sutharzan Sreeskandarajan ◽  
Erika Grajales- Esquivel ◽  
Lin Liu ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Retinal Pigment Epithelium ◽  
Cell Cycle Progression ◽  
Pigment Epithelium ◽  
Retinal Pigment ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Dependent Manner ◽  
Cycle Progression ◽  
Retina Development

AbstractThe plasticity of human retinal pigment epithelium (RPE) has been observed during proliferative vitreoretinopathy, a defective repair process during which injured RPE gives rise to fibrosis. In contrast, following injury, the RPE of the embryonic chicken can be reprogrammed to regenerate neural retina in an FGF2-dependent manner. To characterize the mechanisms underlying embryonic RPE reprogramming, we used laser capture microdissection to isolate RNA from 1) intact RPE, 2) transiently reprogrammed RPE (t-rRPE) 6 hours post-retinectomy, and 3) reprogrammed RPE (rRPE) 6 hours post-retinectomy with FGF2 treatment. Using RNA-seq, we observed the acute repression of genes related to cell cycle progression in the injured t-rRPE, as well as up-regulation of genes associated with injury. In contrast, the rRPE was strongly enriched for MAPK-responsive genes and retina development factors, confirming that FGF2 and the downstream MAPK cascade are the main drivers of embryonic RPE reprogramming. Clustering and pathway enrichment analysis were used to create an integrated network of the core processes associated with RPE reprogramming, including key terms pertaining to injury response, migration, actin dynamics, and cell cycle progression. Finally, we employed gene set enrichment analysis to suggest a previously uncovered role for epithelial-mesenchymal transition (EMT) machinery in the initiation of embryonic chick RPE reprogramming. The EMT program is accompanied by extensive, coordinated regulation of extracellular matrix (ECM) regulators, and these observations together suggest an early role for ECM and EMT-like dynamics during reprogramming. Our study provides for the first time an in-depth transcriptomic analysis of embryonic RPE reprogramming and will prove useful in guiding future efforts to understand proliferative disorders of the RPE and to promote retinal regeneration.

scholarly journals Identification of HMMR as a prognostic biomarker for patients with lung adenocarcinoma via integrated bioinformatics analysis

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12624
Author(s):  
Zhaodong Li ◽  
Hongtian Fei ◽  
Siyu Lei ◽  
Fengtong Hao ◽  
Lijie Yang ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Lung Adenocarcinoma ◽  
Expression Analysis ◽  
Prognostic Biomarker ◽  
Enrichment Analysis ◽  
Core Gene ◽  
Potential Functions ◽  
Gene Set Enrichment Analysis ◽  
Cox Regression Analysis ◽  
The Core

Background Lung adenocarcinoma (LUAD) is the most prevalent tumor in lung carcinoma cases and threatens human life seriously worldwide. Here we attempt to identify a prognostic biomarker and potential therapeutic target for LUAD patients. Methods Differentially expressed genes (DEGs) shared by GSE18842, GSE75037, GSE101929 and GSE19188 profiles were determined and used for protein-protein interaction analysis, enrichment analysis and clinical correlation analysis to search for the core gene, whose expression was further validated in multiple databases and LUAD cells (A549 and PC-9) by quantitative real-time PCR (qRT-PCR) and western blot analyses. Its prognostic value was estimated using the Kaplan-Meier method, meta-analysis and Cox regression analysis based on the Cancer Genome Atlas (TCGA) dataset and co-expression analysis was conducted using the Oncomine database. Gene Set Enrichment Analysis (GSEA) was performed to illuminate the potential functions of the core gene. Results A total of 115 shared DEGs were found, of which 24 DEGs were identified as candidate hub genes with potential functions associated with cell cycle and FOXM1 transcription factor network. Among these candidates, HMMR was identified as the core gene, which was highly expressed in LUAD as verified by multiple datasets and cell samples. Besides, high HMMR expression was found to independently predict poor survival in patients with LUAD. Co-expression analysis showed that HMMR was closely related to FOXM1 and was mainly involved in cell cycle as suggested by GSEA. Conclusion HMMR might be served as an independent prognostic biomarker for LUAD patients, which needs further validation in subsequent studies.

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