Characterization of cleavage sites and protease activity in the polyprotein precursor of Japanese marine aquabirnavirus and expression analysis of generated proteins by a VP4 protease activity in four distinct cell lines

2007 ◽  
Vol 152 (6) ◽  
pp. 1103-1114 ◽  
Author(s):  
M. Imajoh ◽  
T. Goto ◽  
S. Oshima
Keyword(s):  
Cell Lines ◽  
Expression Analysis ◽  
Protease Activity ◽  
Cleavage Sites ◽  
Distinct Cell ◽  
Polyprotein Precursor

Molecular characterization of chicken Janus kinase2 (JAK2) and its expression analysis in different tissues and cell lines

2019 ◽  
Author(s):  
Abdalla A. Sayed
Keyword(s):  
Cell Lines ◽  
Expression Analysis ◽  
Time Course ◽  
Signal Transducer ◽  
Stat Proteins ◽  
Tyrosine Residues ◽  
Wide Range ◽  
Human And Mouse

Janus kinase2 (JAK2) is one of an important family that function primarily in signal transduction through contact with signal transducer and activator of transcription (STAT) proteins which reflects the high important role of JAK2 and its family. Chicken JAK2 protein is found to be formed of 1129 amino acids. The phosphorylation tyrosine residues were conserved between chicken, human and mouse. Expression analysis of chicken JAK2 showed a wide range of expression in all used tissues and cell lines. The expression was high in T-cell fraction when compared with that of B-cell one. The expression of chicken JAK2 showed a time course dependent of lipopolysaccharide (LPS) stimulation in spleen and bursa tissues and in IN24 cell line. The stimulation by LPS showed a high expression of chicken JAK2 in spleen and bursa by in-stiu hybridization studies.

Characterization of pituitary-derived cell lines, Tpit/E, Tpit/F1 and TtT/GF

2014 ◽  
Author(s):  
Naoto Nishimura ◽  
Saishu Yoshida ◽  
Masashi Higuchi ◽  
Hideji Yako ◽  
Hiroki Ueharu ◽  
...  
Keyword(s):  
Cell Lines

Characterization of Healthy and Tumor Oral Cell Lines of Human Origin. The preliminary stage in the assessment of relevant chemical compounds with impact on dentistry

2018 ◽  
Vol 69 (10) ◽  
pp. 2889-2894
Author(s):  
Ion Virgil Corlan ◽  
Adelina Cheveresan ◽  
Delia Berceanu Vaduva ◽  
Cristian Nica ◽  
Alin Faur ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Cell Lines ◽  
Squamous Cell ◽  
Chemical Compounds ◽  
Tongue Squamous Cell Carcinoma ◽  
Gingival Fibroblasts ◽  
Human Origin ◽  
Preliminary Stage

The present study was aimed to evaluate the confluence percentage of three oral cell lines, namely primary gingival keratinocytes (PGK), primary gingival fibroblasts (HGF) and tongue squamous cell carcinoma (SCC-4). All cells have been monitored at different passages for 21 days. Evaluation of confluence percentage reveals the fact that primary gingival keratinocytes and tongue squamous cell carcinoma at small passages requires a period of about two weeks to reach a confluence of approximately 80% while for the gingival fibroblasts a period of about three times smaller is satisfactory.

Establishment and characterization of hamster cell lines transformed by restriction endonuclease fragments of adenovirus 5.

1984 ◽  
Vol 49 (1) ◽  
pp. 162-170 ◽  
Author(s):  
D T Rowe ◽  
P E Branton ◽  
S P Yee ◽  
S Bacchetti ◽  
F L Graham
Keyword(s):  
Restriction Endonuclease ◽  
Cell Lines ◽  
Adenovirus 5

scholarly journals Characterization of genetically defined sporadic and hereditary type 1 papillary renal cell carcinoma cell lines

2021 ◽  
Author(s):  
Youfeng Yang ◽  
Christopher J. Ricketts ◽  
Cathy D. Vocke ◽  
J. Keith Killian ◽  
Hesed M. Padilla‐Nash ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Cell Lines ◽  
Renal Cell ◽  
Carcinoma Cell ◽  
Papillary Renal Cell Carcinoma ◽  
Renal Cell Carcinoma Cell ◽  
Carcinoma Cell Lines

scholarly journals scMET: Bayesian modeling of DNA methylation heterogeneity at single-cell resolution

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Chantriolnt-Andreas Kapourani ◽  
Ricard Argelaguet ◽  
Guido Sanguinetti ◽  
Catalina A. Vallejos
Keyword(s):  
Single Cell ◽  
Bayesian Modeling ◽  
Bayesian Model ◽  
Regulation Of Gene Expression ◽  
Differential Methylation ◽  
Hierarchical Bayesian Model ◽  
Genomic Features ◽  
Distinct Cell ◽  
Biological Heterogeneity

AbstractHigh-throughput single-cell measurements of DNA methylomes can quantify methylation heterogeneity and uncover its role in gene regulation. However, technical limitations and sparse coverage can preclude this task. scMET is a hierarchical Bayesian model which overcomes sparsity, sharing information across cells and genomic features to robustly quantify genuine biological heterogeneity. scMET can identify highly variable features that drive epigenetic heterogeneity, and perform differential methylation and variability analyses. We illustrate how scMET facilitates the characterization of epigenetically distinct cell populations and how it enables the formulation of novel hypotheses on the epigenetic regulation of gene expression. scMET is available at https://github.com/andreaskapou/scMET.

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