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Institution

Cairo University

EducationGiza, Egypt
About: Cairo University is a education organization based out in Giza, Egypt. It is known for research contribution in the topics: Population & Medicine. The organization has 33532 authors who have published 55581 publications receiving 792654 citations. The organization is also known as: Fuad I University & King Fuad I University.


Papers
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Journal ArticleDOI
TL;DR: It is shown that mammalian cells need Ku for rapid and conservative NHEJ, and that the requirement for PARP1 depends on the absence of Ku but not on DNA-dependent protein kinase (DNA-PKcs).
Abstract: Non-homologous end-joining (NHEJ), the major repair pathway for DNA double-strand breaks (DSB) in mammalian cells, employs a repertoire of core proteins, the recruitment of which to DSB-ends is Ku-dependent. Lack of either of the core components invariably leads to a repair deficiency. There has been evidence that an alternative end-joining operates in the absence of the core components. We used chromosomal reporter substrates to specifically monitor NHEJ of single I-SceI-induced-DSB for detailed comparison of classical and alternative end-joining. We show that rapid repair of both compatible and non-compatible ends require Ku-protein. In the absence of Ku, cells use a slow but efficient repair mode which experiences increasing sequence-loss with time after DSB induction. Chemical inhibition and PARP1-depletion demonstrated that the alternative end-joining in vivo is completely dependent upon functional PARP1. Furthermore, we show that the requirement for PARP1 depends on the absence of Ku but not on DNA-dependent protein kinase (DNA-PKcs). Extensive sequencing of repair junctions revealed that the alternative rejoining does not require long microhomologies. Together, we show that mammalian cells need Ku for rapid and conservative NHEJ. PARP1-dependent alternative route may partially rescue the deficient repair phenotype presumably at the expense of an enhanced mutation rate.

187 citations

Journal ArticleDOI
TL;DR: An efficient and accurate spectral numerical method is presented for solving second-, fourth-order fractional diffusion-wave equations and fractional wave equations with damping based on Jacobi tau spectral procedure together with the Jacobi operational matrix for fractional integrals, described in the Riemann-Liouville sense.

186 citations

Journal ArticleDOI
TL;DR: A ganglionic blocking effect appeared to be a possible mechanism of action of Mentha microphylla and Conyza dioscoridis since a stimulant dose of nicotine could not restore the contractile response of the tissue.

186 citations

Journal ArticleDOI
TL;DR: In this article, a commercial dual-phase steel in sheet form and comprised of ferrite, martensite, and bainite was subjected to uniaxial tension up to fracture and the damage characteristics were studied through extensive quantitative metallography and scanning electron microscope (SEM) observations of polished sections and fracture surfaces of failed specimens.
Abstract: Commercial dual-phase (DP) steel in sheet form and comprised of ferrite, martensite, and bainite was subjected to uniaxial tension up to fracture. The damage characteristics were studied through extensive quantitative metallography and scanning electron microscope (SEM) observations of polished sections and fracture surfaces of failed specimens. The observed void nucleation mechanisms include nucleation at the martensite/ferrite interface or triple junction (most predominant), nucleation due to the cracking of martensite particles, and nucleation at the inclusions. The void characteristics in terms of area fraction, void density, void size ranges, and void orientations were analyzed as a function of thickness strain from various regions of the different uniaxial tensile test specimens taken to fracture. The damage analysis suggests that the void nucleation occurs during the entire deformation process with an almost constant rate and this rate reduces before fracture. A nucleation strain of 0.15 has been estimated for this material.

186 citations

Journal ArticleDOI
TL;DR: This paper proposes an enhanced approach for classifying brain tumor types using Residual Networks and achieves the highest accuracy of 99% outperforming the other previous work on the same dataset.

186 citations


Authors

Showing all 33886 results

NameH-indexPapersCitations
Chiara Mariotti141142698157
Pierluigi Paolucci1381965105050
Andrea Giammanco135136298093
Matthew Herndon133173297466
Eduardo De Moraes Gregores133145492464
Pedro G Mercadante129133186378
Alexander Nikitenko129115982102
Stephen G. Ellis12765565073
Peter R. Carroll12596664032
Mikhail Dubinin125109179808
Cesar Augusto Bernardes12496570889
K. Krajczar12464665885
Flavia De Almeida Dias12059059083
Jaap Goudsmit11158142149
Hans J. Eysenck10651259690
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023155
2022486
20215,731
20205,196
20194,578