Senay Vural Korkut

Dr. Senay Vural Korkut

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Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 1998 in Plant Molecular Biology
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Journal Article
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MDM. Alison Dunn
M. Alison Dunn
AWAndrew J. White
Andrew J. White
SKSenay Vural Korkut
Senay Vural Korkut
MHMonica A. Hughes
Monica A. Hughes

1 September 2009 in Molecular and Cellular Biology
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Journal Article
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HAHolly E. Anderson
Holly E. Anderson
JWJosephine Wardle
Josephine Wardle
SKSenay Vural Korkut
Senay Vural Korkut
HMHeather E. Murton
Heather E. Murton
LMLuis Lopez Maury
Luis Lopez Maury
SWSimon K. Whitehall
Simon K. Whitehall
The assembly of nucleosomes by histone chaperones is an important component of transcriptional regulation. Here, we have assessed the global roles of the HIRA histone chaperone in Schizosaccharomyces pombe. Microarray analysis indicates that inactivation of the HIRA complex results in increased expression of at least 4% of fission yeast genes. HIRA-regulated genes overlap with those which are normally repressed in vegetatively growing cells, such as targets of the Clr6 histone deacetylase and silenced genes located in subtelomeric regions. HIRA is also required for silencing of all 13 intact copies of the Tf2 long terminal repeat (LTR) retrotransposon. However, the role of HIRA is not restricted to bona fide promoters, because HIRA also suppresses noncoding transcripts from solo LTR elements and spurious antisense transcripts from cryptic promoters associated with transcribed regions. Furthermore, the HIRA complex is essential in the absence of the quality control provided by nuclear exosome-mediated degradation of illegitimate transcripts. This suggests that HIRA restricts genomic accessibility, and consistent with this, the chromosomes of cells lacking HIRA are more susceptible to genotoxic agents that cause double-strand breaks. Thus, the HIRA histone chaperone is required to maintain the protective functions of chromatin.

1 January 2010 in Comparative and Functional Genomics
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Journal Article
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NONehir Ozdemir Ozgenturk
Nehir Ozdemir Ozgenturk
FOFatma Oruç
Fatma Oruç
USUgur Sezerman
Ugur Sezerman
Alper KucukuralAlper Kucukural
Alper Kucukural
SKSenay Vural Korkut
Senay Vural Korkut
CUCemal Un
Cemal Un
Olive (Olea europaeaL.) is an important source of edible oil which was originated in Near-East region. In this study, two cDNA libraries were constructed from young olive leaves and immature olive fruits for generation of ESTs to discover the novel genes and search the function of unknown genes of olive. The randomly selected 3840 colonies were sequenced for EST collection from both libraries. Readable 2228 sequences for olive leaf and 1506 sequences for olive fruit were assembled into 205 and 69 contigs, respectively, whereas 2478 were singletons. Putative functions of all 2752 differentially expressed unique sequences were designated by gene homology based on BLAST and annotated using BLAST2GO. While 1339 ESTs show no homology to the database, 2024 ESTs have homology (under 80%) with hypothetical proteins, putative proteins, expressed proteins, and unknown proteins in NCBI-GenBank. 635 EST's unique genes sequence have been identified by over 80% homology to known function in other species which were not previously described in Olea family. Only 3.1% of total EST's was shown similarity with olive database existing in NCBI. This generated EST's data and consensus sequences were submitted to NCBI as valuable source for functional genome studies of olive.

23 January 2021 in Brain Sciences
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Journal Article
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HKHasan Aykut Karaboğa
Hasan Aykut Karaboğa
AGAslihan Gunel
Aslihan Gunel
SKSenay Vural Korkut
Senay Vural Korkut
IDibrahim demir
ibrahim demir
RÇReşit Çelik
Reşit Çelik
Clinical diagnosis of amyotrophic lateral sclerosis (ALS) is difficult in the early period. But blood tests are less time consuming and low cost methods compared to other methods for the diagnosis. The ALS researchers have been used machine learning methods to predict the genetic architecture of disease. In this study we take advantages of Bayesian networks and machine learning methods to predict the ALS patients with blood plasma protein level and independent personal features. According to the comparison results, Bayesian Networks produced best results with accuracy (0.887), area under the curve (AUC) (0.970) and other comparison metrics. We confirmed that sex and age are effective variables on the ALS. In addition, we found that the probability of onset involvement in the ALS patients is very high. Also, a person’s other chronic or neurological diseases are associated with the ALS disease. Finally, we confirmed that the Parkin level may also have an effect on the ALS disease. While this protein is at very low levels in Parkinson’s patients, it is higher in the ALS patients than all control groups.

30 January 2022 in Multiple Sclerosis and Related Disorders
Verified
Journal Article
Closed access
BEBurcin Erkal
Burcin Erkal
SKSenay Vural Korkut
Senay Vural Korkut

11 February 2016 in European Journal of Plant Pathology
Verified
Journal Article
Closed access
PDF file
YDYahya Emin Demirci
Yahya Emin Demirci
CICihan Inan
Cihan Inan
AGAslihan GUNEL
Aslihan GUNEL
DMDilara Maytalman
Dilara Maytalman
ZMZafer Mert
Zafer Mert
SHSemra Hasançebi
Semra Hasançebi