Bünyamin Akgül

Dr. Bünyamin Akgül

Molecular biology and genetics, Izmir Institute of Technology, İzmir, Turkey (Türkiye)
orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

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

Representative Publications

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1 January 2005
Verified
Book Chapter
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CTChen‐Pei D. Tu
Chen‐Pei D. Tu
BABünyamin Akgül
Bünyamin Akgül

26 August 2021
Verified
Book Chapter
Closed access
PDF file
AAAyşe Hale Alkan
Ayşe Hale Alkan
BABünyamin Akgül
Bünyamin Akgül

Verified
Journal Article
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PDF file
BSBuket Sağlam
Buket Sağlam
BABünyamin Akgül
Bünyamin Akgül
Epitranscriptomic mechanisms, which constitute an important layer in post-transcriptional gene regulation, are involved in numerous cellular processes under health and disease such as stem cell development or cancer. Among various such mechanisms, RNA methylation is considered to have vital roles in eukaryotes primarily due to its dynamic and reversible nature. There are numerous RNA methylations that include, but are not limited to, 2’-O-dimethyladenosine (m6Am), N7-methylguanosine (m7G), N6-methyladenosine (m6A) and N1-methyladenosine (m1A). These biochemical modifications modulate the fate of RNA by affecting the processes such as translation, target site determination, RNA processing, polyadenylation, splicing, structure, editing and stability. Thus, it is highly important to quantitatively measure the changes in RNA methylation marks to gain insight into cellular processes under health and disease. Although there are complicating challenges in identifying certain methylation marks genome wide, various methods have been developed recently to facilitate the quantitative measurement of methylated RNAs. To this end, the detection methods for RNA methylation can be classified in five categories such as antibody-based, digestion-based, ligation-based, hybridization-based or direct RNA-based methods. In this review, we have aimed to summarize our current understanding of the detection methods for RNA methylation, highlighting their advantages and disadvantages, along with the current challenges in the field.

20 September 2018 in Frontiers in Genetics
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Journal Article
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BABünyamin Akgül
Bünyamin Akgül
İEİpek Erdoğan
İpek Erdoğan
MicroRNAs (miRNAs) are a conserved class of non-coding RNAs of 22 nucleotides that post-transcriptionally regulate gene expression through translational repression and/or mRNA degradation. A great progress has been made regarding miRNA biogenesis and miRNA-mediated gene regulation. Additionally, an ample amount of information exists with respect to the regulation of miRNAs. However, the cytoplasmic localization of miRNAs and its effect on gene regulatory output is still in progress. We provide a current review of the cytoplasmic miRNA localization in metazoans. We then discuss the dynamic changes in the intracytoplasmic localization of miRNAs as a means to regulate their silencing activity. We then conclude our discussion with the potential molecules that could modulate miRNA localization.

26 August 2021
Verified
Book Chapter
Closed access
PDF file
BYBilge Yaylak
Bilge Yaylak
BABünyamin Akgül
Bünyamin Akgül

12 November 2012 in PLOS ONE
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TSTahsin Saygılı
Tahsin Saygılı
SASemih Can Akıncılar
Semih Can Akıncılar
BABünyamin Akgül
Bünyamin Akgül
ANAyten Nalbant
Ayten Nalbant
One of the heat shock family protein (Hsp) expressing bacteria is the gram negative, periodontal pathogen Aggregatibacter actinomycetemcomitans (Aa). A. actinomycetemcomitans’ Hsp is a 64-kDa GroEL-protein, which has been shown to influence the host cells. In this study we used recombinant A. actinomycetemcomitans GroEL (rAaGroEL) protein as a model antigen to study GroEL-mediated T cell immune response. Human peripheral mononuclear cells (PBMCs), when stimulated with recombinant rAaGroEL, expressed early activation marker CD69 and IL-2R (CD25). CD25 and CD69 expressions were higher in CD4+ T cells compared to CD8+ T cells. rAaGroEL-responding CD4+ T cells expressed IL-10, IFNγ and TNFα cytokines. Interestingly, there were also IL-10 and IFNγ double cytokine producing CD4+ T cells. Additionally, IFNγ expressing CD4+ T cells were also T-bet positive. Altogether the results suggest that rAaGroEL protein affects CD4+ T cells to differentiate into IFNγ IL10-secreting T-bet+ Th1 cells.