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Ligasová A, Frydrych I, Koberna K. Basic Methods of Cell Cycle Analysis. Int J Mol Sci 2023; 24:ijms24043674. [PMID: 36835083 PMCID: PMC9963451 DOI: 10.3390/ijms24043674] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 02/07/2023] [Accepted: 02/08/2023] [Indexed: 02/16/2023] Open
Abstract
Cellular growth and the preparation of cells for division between two successive cell divisions is called the cell cycle. The cell cycle is divided into several phases; the length of these particular cell cycle phases is an important characteristic of cell life. The progression of cells through these phases is a highly orchestrated process governed by endogenous and exogenous factors. For the elucidation of the role of these factors, including pathological aspects, various methods have been developed. Among these methods, those focused on the analysis of the duration of distinct cell cycle phases play important role. The main aim of this review is to guide the readers through the basic methods of the determination of cell cycle phases and estimation of their length, with a focus on the effectiveness and reproducibility of the described methods.
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Li N, Zhang H, Hu K, Chu J. A novel long non-coding RNA-based prognostic signature for renal cell carcinoma patients with stage IV and histological grade G4. Bioengineered 2021; 12:6275-6285. [PMID: 34499010 PMCID: PMC8806408 DOI: 10.1080/21655979.2021.1971022] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 08/17/2021] [Accepted: 08/17/2021] [Indexed: 11/02/2022] Open
Abstract
This study aimed to establish a lncRNA-based signature for predicting the prognosis of patients with high stage and grade renal cell carcinoma (RCC). According to the Surveillance, Epidemiology, and End Results (SEER) database, sex, age, grade, stage, surgery, chemotherapy, radiation, tumor size, and marital status were the independent prognostic factors for RCC and also had significant correlations with the overall survival through Cox univariate and multivariate analyses. Noticeably, among these influencing factors, the histological classification of undifferentiated group and pathological stage IV had the greatest prognostic risks for RCC patients. Furthermore, based on the samples at stage IV and histological grade G4 from The Cancer Genome Atlas (TCGA) portal, 9 key lncRNAs, including KIAA2012, CCNT2-AS1, ITPKB-AS1, TBX2-AS1, NUTM2A-AS1, LINC02522, LINC02384, LINC01559, and LINC00865 were identified and a prognostic signature was constructed by Lasso analysis and Cox regression model. The Kaplan-Meier analysis suggested that patients at stage IV and histological grade of G4 in high risk score group had a worse overall survival than that in low risk score group. The following receiver operating characteristic curve (ROC) curves also showed that this signature possesses a better predictive power performance. Pathway enrichment analysis discovered that 9 lncRNAs held potential roles in cell division, cell cycle, DNA damage and cytokines levels in RCC. This work indicates that the established 9-lncRNA signature has a good capacity in predicting the prognosis of RCC patients with stage IV and histological grade of G4, and may be helpful for guiding the treatment strategies for RCC patients.
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Affiliation(s)
- Ning Li
- Department of Urology, Yantaishan Hospital, Yantai, Shandong , P.R. China
| | - Haiying Zhang
- Department of Urology, Yantaishan Hospital, Yantai, Shandong , P.R. China
| | - Keyao Hu
- Department of Urology, Yantaishan Hospital, Yantai, Shandong , P.R. China
| | - Jianfeng Chu
- Department of Urology, Yantaishan Hospital, Yantai, Shandong , P.R. China
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Chen S, He Z, Peng T, Zhou F, Wang G, Qian K, Ju L, Xiao Y, Wang X. PRR11 promotes ccRCC tumorigenesis by regulating E2F1 stability. JCI Insight 2021; 6:e145172. [PMID: 34499617 PMCID: PMC8525590 DOI: 10.1172/jci.insight.145172] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 09/01/2021] [Indexed: 01/03/2023] Open
Abstract
Proline rich 11 (PRR11), a novel tumor-related gene, has been identified in different tumors. However, the relevant biological functions of PRR11 in human clear cell renal cell carcinoma (ccRCC) have not been studied. In this study, we first identified PRR11 as a biomarker of ccRCC and predictor of poor prognosis by bioinformatics. Then, we showed that PRR11 silencing substantially reduced ccRCC cell proliferation and migration in vitro and in vivo. Importantly, we found that PRR11 induced the degradation of the E2F1 protein through its interaction with E2F1, and PRR11 reduced the stability of the E2F1 protein in ccRCC cells, thereby affecting cell cycle progression. Further results indicated that the downregulation of E2F1 expression partially reversed the changes in ccRCC cell biology caused by PRR11 deletion. In addition, we showed that PRR11 was a target gene of c-Myc. The transcription factor c-Myc may have promoted the expression of PRR11 in ccRCC cells by binding to the PRR11 promoter region, thereby accelerating the progression of ccRCC. In summary, we found that PRR11 served as an oncogene in ccRCC, and PRR11 reduced the protein stability of E2F1 and could be activated by c-Myc.
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Affiliation(s)
| | | | | | | | - Gang Wang
- Department of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China.,Human Genetic Resource Preservation Center of Hubei Province, Wuhan, China.,Research Center of Wuhan for Infectious Diseases and Cancer, Chinese Academy of Medical Sciences, Wuhan, China.,Laboratory of Precision Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Kaiyu Qian
- Department of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China.,Human Genetic Resource Preservation Center of Hubei Province, Wuhan, China.,Research Center of Wuhan for Infectious Diseases and Cancer, Chinese Academy of Medical Sciences, Wuhan, China.,Laboratory of Precision Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Lingao Ju
- Department of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China.,Human Genetic Resource Preservation Center of Hubei Province, Wuhan, China.,Research Center of Wuhan for Infectious Diseases and Cancer, Chinese Academy of Medical Sciences, Wuhan, China.,Laboratory of Precision Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yu Xiao
- Department of Urology and.,Department of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, China.,Human Genetic Resource Preservation Center of Hubei Province, Wuhan, China.,Research Center of Wuhan for Infectious Diseases and Cancer, Chinese Academy of Medical Sciences, Wuhan, China.,Laboratory of Precision Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Xinghuan Wang
- Department of Urology and.,Research Center of Wuhan for Infectious Diseases and Cancer, Chinese Academy of Medical Sciences, Wuhan, China.,Medical Research Institute, Wuhan University, Wuhan, China
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Murase Y, Iwata H, Takahara T, Tsuzuki T. The highest Fuhrman and WHO/ISUP grade influences the Ki-67 labeling index of those of grades 1 and 2 in clear cell renal cell carcinoma. Pathol Int 2020; 70:984-991. [PMID: 32997867 DOI: 10.1111/pin.13025] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 09/06/2020] [Indexed: 12/27/2022]
Abstract
Nuclear grade is one of the most important prognostic factors in clear cell renal cell carcinoma (CCRCC). Although CCRCCs usually have intratumoral heterogeneity with various nuclear atypia including nucleolar prominence, it is unclear whether a similar degree of nuclear grade component demonstrates the same proliferative activity. We aimed to reveal whether the presence of a higher nuclear grade has an effect on proliferative activity among each assigned nuclear grade in CCRCCs. We enrolled 129 CCRCC patients containing at least two different nuclear grades. We separately assessed nuclear grade using the Fuhrman and World Health Organization and International Society of Urologic Pathologists (WHO/ISUP) grading systems. In addition, we selected blocks containing different nuclear grade and assessed the Ki-67 labeling index (LI) for each using a computer-based analysis system. Ki-67 LIs significantly correlated with both Fuhrman and WHO/ISUP grades (P < 0.001 and P < 0.001). Of note, the LIs among Fuhrman and WHO/ISUP grades 1 and 2 were also statistically significant according to the highest nuclear grade (P < 0.01 for both grades 1 and 2). Our data suggests that the highest nuclear grade influences the proliferative activity in tumor components regardless of the morphologically assigned nuclear grades. The exact evaluation of Ki-67 LI in CCRCC can provide a more precise information of the malignant potential.
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Affiliation(s)
- Yota Murase
- Department of Surgical Pathology, Aichi Medical University Hospital, Aichi, Japan.,Department of Pathology, Japanese Red Cross Nagoya Daini Hospital, Aichi, Japan
| | - Hidehiro Iwata
- Department of Surgical Pathology, Aichi Medical University Hospital, Aichi, Japan.,Department of Pathology, Japanese Red Cross Nagoya Daini Hospital, Aichi, Japan
| | | | - Toyonori Tsuzuki
- Department of Surgical Pathology, Aichi Medical University Hospital, Aichi, Japan
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Identification of Hub Genes as Biomarkers Correlated with the Proliferation and Prognosis in Lung Cancer: A Weighted Gene Co-Expression Network Analysis. BIOMED RESEARCH INTERNATIONAL 2020; 2020:3416807. [PMID: 32596300 PMCID: PMC7305540 DOI: 10.1155/2020/3416807] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 01/27/2020] [Accepted: 02/03/2020] [Indexed: 12/24/2022]
Abstract
Lung cancer is one of the most malignant tumors in the world. Early diagnosis and treatment of lung cancer are vitally important to reduce the mortality of lung cancer patients. In the present study, we attempt to identify the candidate biomarkers for lung cancer by weighted gene co-expression network analysis (WGCNA). Gene expression profile of GSE30219 was downloaded from the gene expression omnibus (GEO) database. The differentially expressed genes (DEGs) were analyzed by the limma package, and the co-expression modules of genes were built by WGCNA. UALCAN was used to analyze the relative expression of normal group and tumor subgroups based on tumor individual cancer stages. Survival analysis for the hub genes was performed by Kaplan–Meier plotter analysis with the TCGA database. A total of 2176 genes (745 upregulated and 1431 downregulated genes) were obtained from the GSE30219 database. Seven gene co-expression modules were conducted by WGCNA and the blue module might be inferred as the most crucial module in the pathogenesis of lung cancer. In the pathway enrichment analysis of KEGG, the candidate genes were enriched in the “DNA replication,” “Cell cycle,” and “P53 signaling pathway” pathways. Among these, the cell cycle pathway was the most significant pathway in the blue module with four hub genes CCNB1, CCNE2, MCM7, and PCNA which were selected in our study. Kaplan–Meier plotter analysis indicated that the high expressions of four hub genes were correlated with a worse overall survival (OS) and advanced tumors. qRT-PCR showed that mRNA expression levels of MCM7 (p = 0.038) and CCNE2 (0.003) were significantly higher in patients with the TNM stage. In summary, the high expression of the MCM7 and CCNE2 were significantly related with advanced tumors and worse OS in lung cancer. Thus, the MCM7 and CCNE2 genes can be good indicators for cellular proliferation and prognosis in lung cancer.
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Kim YS, Jung J, Jeong H, Oh HE, Lee JH, Lee ES, Choi JW. Protein expression profiles and prognostic value of E2F family members in clear cell renal cell carcinoma. Pathol Res Pract 2020; 216:152880. [PMID: 32089412 DOI: 10.1016/j.prp.2020.152880] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 01/21/2020] [Accepted: 02/12/2020] [Indexed: 12/27/2022]
Abstract
The derangement of the cell cycle facilitates uncontrolled cell proliferation and acquisition of genetic alterations favorable for malignancy. However, the protein expression profiles of E2 F family cell cycle regulators in clear cell renal cell carcinoma (ccRCC) have not yet been thoroughly investigated. In this study, we aimed to examine the protein expression profiles and prognostic value of E2 F1, E2 F3, and E2 F4 in ccRCC cases. The immunohistochemical expression of E2 F1, E2 F3, and E2 F4 was quantitatively scored in 180 ccRCC tumor tissues and 79 normal kidney tissues. The prognostic implications of these E2 F members were determined. We found that ccRCC tumor cells showed higher nuclear expression of E2 F1, E2 F3 and E2 F4 than normal kidney samples. High E2 F1 and E2 F3 expression in tumor cells was associated with poor prognostic factors of ccRCC, whereas high E2 F4 correlated with beneficial prognostic factors. High expression of E2 F1 and E2 F3 in tumor cells was correlated with a poor overall and recurrence-free survival, while high E2 F4 expression did not. In conclusion, E2 F1, E2 F3 and E2 F4 may function as oncogenes during tumorigenesis of ccRCC, although they contribute to the progression of ccRCC in different ways. Additional studies are required to clarify the conflicting role of E2 F4 in the tumor evolution of ccRCC.
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Affiliation(s)
- Young-Sik Kim
- Department of Pathology, Korea University Ansan Hospital, Ansan, Republic of Korea
| | - Jiyoon Jung
- Department of Pathology, Korea University Ansan Hospital, Ansan, Republic of Korea
| | - Hoiseon Jeong
- Department of Pathology, Korea University Ansan Hospital, Ansan, Republic of Korea
| | - Hwa Eun Oh
- Department of Pathology, Korea University Ansan Hospital, Ansan, Republic of Korea
| | - Ju-Han Lee
- Department of Pathology, Korea University Ansan Hospital, Ansan, Republic of Korea
| | - Eung Seok Lee
- Department of Pathology, Korea University Ansan Hospital, Ansan, Republic of Korea
| | - Jung-Woo Choi
- Department of Pathology, Korea University Ansan Hospital, Ansan, Republic of Korea.
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Gong X, Zhao H, Saar M, Peehl DM, Brooks JD. miR-22 Regulates Invasion, Gene Expression and Predicts Overall Survival in Patients with Clear Cell Renal Cell Carcinoma. KIDNEY CANCER 2019; 3:119-132. [PMID: 31763513 PMCID: PMC6839454 DOI: 10.3233/kca-190051] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Background: Clear cell renal cell carcinoma (ccRCC) is molecularly diverse and distinct molecular subtypes show different clinical outcomes. MicroRNAs (miRNAs) are essential components of gene regulatory networks and play a crucial role in progression of many cancer types including ccRCC. Objective: Identify prognostic miRNAs and determine the role of miR-22 in ccRCC. Methods: Hierarchical clustering was done in R using gene expression profiles of over 450 ccRCC cases in The Cancer Genome Atlas (TCGA). Kaplan-Meier analysis was performed to identify prognostic miRNAs in the TCGA dataset. RNA-Seq was performed to identify miR-22 target genes in primary ccRCC cells and Matrigel invasion assay was performed to assess the effects of miR-22 overexpression on cell invasion. Results: Hierarchical clustering analysis using 2,621 prognostic genes previously identified by our group demonstrated that ccRCC patients with longer overall survival expressed lower levels of genes promoting proliferation or immune responses, while better maintaining gene expression associated with cortical differentiation and cell adhesion. Targets of 26 miRNAs were significantly enriched in the 2,621 prognostic genes and these miRNAs were prognostic by themselves. MiR-22 was associated with poor overall survival in the TCGA dataset. Overexpression of miR-22 promoted invasion of primary ccRCC cells in vitro and modulated transcriptional programs implicated in cancer progression including DNA repair, cell proliferation and invasion. Conclusions: Our results suggest that ccRCCs with differential clinical outcomes have distinct transcriptomes for which miRNAs could serve as master regulators. MiR-22, as a master regulator, promotes ccRCC progression at least in part by enhancing cell invasion.
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Affiliation(s)
- Xue Gong
- Department of Urology, School of Medicine, Stanford University, Stanford, California, USA.,Department of Pathology, School of Medicine, Stanford University, Stanford, California, USA
| | - Hongjuan Zhao
- Department of Urology, School of Medicine, Stanford University, Stanford, California, USA
| | - Matthias Saar
- Department of Urology and Pediatric Urology, University of Saarland, Homburg/Saar, Germany
| | - Donna M Peehl
- Department of Urology, School of Medicine, Stanford University, Stanford, California, USA.,Department of Radiology, University of California, San Francisco, California, USA
| | - James D Brooks
- Department of Urology, School of Medicine, Stanford University, Stanford, California, USA
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Radojević-Škodrić S, Brašanac D, Đuričić SM, Glumac S, Lončar Z, Pavlović I, Todorović A, Nikolić G, Baralić I, Pejić S. Immunohistochemical analysis of cyclin A expression in Wilms tumor. PeerJ 2019; 6:e6212. [PMID: 30648000 PMCID: PMC6330955 DOI: 10.7717/peerj.6212] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Accepted: 12/03/2018] [Indexed: 01/01/2023] Open
Abstract
Background Cyclin A overexpression is found in a variety of human tumors and correlates with unfavorable outcome. We analyzed immunohistochemical expression of cyclin A in Wilms tumor (WT) in relation to clinicopathological characteristics, preoperative chemotherapy (PrOpChTh), and overall survival (OS). Methods This retrospective study involved 43 patients who underwent nephrectomy from January 1996 to October 2010. Tumor stage and histological subtype were determined by revised Societé International d’Oncologie Pediatrique protocol, based on histological components/alterations caused by PrOpChTh, within the prognostic group of low, intermediate and high risk, and with criteria for anaplasia. The regressive/necrotic changes in total tumor mass of primary tumor and the proportion of epithelial, blastemal, and stromal components in the remaining viable tumor tissue were also determined. Cyclin A expression was evaluated by immunohistochemistry using a polyclonal rabbit, antihuman antibody (H-432). Results Cyclin A overexpression was found in 34.3% of WTs, with higher frequency in tumors with epithelial (31.3%) and blastemal (37.1%) components than those with stromal component (17.7%). Regarding histological type, cyclin A overexpression was found most often in focal anaplasia (100%), stromal (60%), and diffuse anaplastic (66.7) WTs. The overexpression was also more frequent in stages 3 and 4 (77.8% and 66.7%, respectively) compared to tumors in stages 1 and 2 (13.3% and 12.5%, respectively; p = 0.004) in all components, as well as in blastemal component in stages 3 and 4 (77.8% and 66.7%, respectively) vs. stages 1 and 2 (13.3% and 25%, respectively, p = 0.009). Cyclin A overexpression in all components was 66.7% in WTs with metastasis and 31.3% in WTs without metastasis (p = 0.265, Fisher test). Log-rank testing revealed differences of OS regarding stage (p = 0.000), prognostic groups (p = 0.001), and cyclin A expression in blastemal component (p = 0.025). After univariate analysis, tumor stage (p = 0.001), prognostic group (p = 0.004), and cyclin A expression in blastemal component (p = 0.042) were significant prognostic factors for OS; however, after multivariate analysis, none of these factors were confirmed as independent predictors of survival. Discussion This study showed that cyclin A overexpression might be associated with the development and progression of WT with anaplasia. Also, cyclin A overexpression was more often observed in advanced stages (3 and 4) of WT, in the group of high-risk WTs, and in focal and diffuse anaplasia WTs. There was no relation of cyclin A overexpression and metastatic ability of WT. Although this study has not confirmed the prognostic value of cyclin A overexpression, its association with unfavorable prognosis should be further evaluated.
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Affiliation(s)
| | - Dimitrije Brašanac
- Institute of Pathology, School of Medicine, University of Belgrade, Belgrade, Serbia
| | - Slaviša M Đuričić
- Department of Clinical Pathology, Mother and Child Health Care Institute of Serbia "Dr. Vukan Čupić", Belgrade, Serbia.,School of Medicine, Banjaluka University, Banjaluka, Bosnia and Herzegovina
| | - Sofija Glumac
- Institute of Pathology, School of Medicine, University of Belgrade, Belgrade, Serbia
| | - Zlatibor Lončar
- Clinic for Emergency Surgery, Clinical Center of Serbia, Belgrade, Serbia
| | - Ivan Pavlović
- Laboratory of Molecular Biology and Endocrinology, Vinča Institute of Nuclear Sciences, University of Belgrade, Belgrade, Serbia
| | - Ana Todorović
- Laboratory of Molecular Biology and Endocrinology, Vinča Institute of Nuclear Sciences, University of Belgrade, Belgrade, Serbia
| | - Gorana Nikolić
- Department of Biomedical Engineering, Innovation Center, Faculty of Mechanical Engineering, University of Belgrade, Belgrade, Serbia
| | - Ivana Baralić
- Zvezdara University Medical Center, Belgrade, Serbia
| | - Snežana Pejić
- Laboratory of Molecular Biology and Endocrinology, Vinča Institute of Nuclear Sciences, University of Belgrade, Belgrade, Serbia
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Pereira PD, Serra-Caetano A, Cabrita M, Bekman E, Braga J, Rino J, Santus R, Filipe PL, Sousa AE, Ferreira JA. Quantification of cell cycle kinetics by EdU (5-ethynyl-2'-deoxyuridine)-coupled-fluorescence-intensity analysis. Oncotarget 2017; 8:40514-40532. [PMID: 28465489 PMCID: PMC5522303 DOI: 10.18632/oncotarget.17121] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2016] [Accepted: 04/03/2017] [Indexed: 01/05/2023] Open
Abstract
We propose a novel single-deoxynucleoside-based assay that is easy to perform and provides accurate values for the absolute length (in units of time) of each of the cell cycle stages (G1, S and G2/M). This flow-cytometric assay takes advantage of the excellent stoichiometric properties of azide-fluorochrome detection of DNA substituted with 5-ethynyl-2'-deoxyuridine (EdU). We show that by pulsing cells with EdU for incremental periods of time maximal EdU-coupled fluorescence is reached when pulsing times match the length of S phase. These pulsing times, allowing labelling for a full S phase of a fraction of cells in asynchronous populations, provide accurate values for the absolute length of S phase. We characterized additional, lower intensity signals that allowed quantification of the absolute durations of G1 and G2 phases.Importantly, using this novel assay data on the lengths of G1, S and G2/M phases are obtained in parallel. Therefore, these parameters can be estimated within a time frame that is shorter than a full cell cycle. This method, which we designate as EdU-Coupled Fluorescence Intensity (E-CFI) analysis, was successfully applied to cell types with distinctive cell cycle features and shows excellent agreement with established methodologies for analysis of cell cycle kinetics.
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Affiliation(s)
- Pedro D. Pereira
- Instituto de Medicina Molecular, Faculdade Medicina da Universidade de Lisboa, 1649-028 Lisboa, Portugal
| | - Ana Serra-Caetano
- Instituto de Medicina Molecular, Faculdade Medicina da Universidade de Lisboa, 1649-028 Lisboa, Portugal
| | - Marisa Cabrita
- Kennedy Institute of Rheumatology, University of Oxford, OX3 7FY Oxford, United Kingdom
| | - Evguenia Bekman
- Instituto de Medicina Molecular, Faculdade Medicina da Universidade de Lisboa, 1649-028 Lisboa, Portugal
| | - José Braga
- Instituto de Medicina Molecular, Faculdade Medicina da Universidade de Lisboa, 1649-028 Lisboa, Portugal
| | - José Rino
- Instituto de Medicina Molecular, Faculdade Medicina da Universidade de Lisboa, 1649-028 Lisboa, Portugal
| | - Renè Santus
- Muséum National d´Histoire Naturelle, Département RDDM, 75231 Paris, France
| | - Paulo L. Filipe
- Instituto de Medicina Molecular, Faculdade Medicina da Universidade de Lisboa, 1649-028 Lisboa, Portugal
| | - Ana E. Sousa
- Instituto de Medicina Molecular, Faculdade Medicina da Universidade de Lisboa, 1649-028 Lisboa, Portugal
| | - João A. Ferreira
- Instituto de Medicina Molecular, Faculdade Medicina da Universidade de Lisboa, 1649-028 Lisboa, Portugal
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