Development of sandwich type nucleic acid array platform for the detection of micrornas in breast cancer

Download
2014
Atılgan, Seren
MicroRNAs are small non-coding RNAs that are involved in important regulatory pathways such as differentiation, development, metabolism, cell proliferation, and cell death. Several recent research show that deregulated expression of miRNAs has crucial roles in disease pathologies, mainly in cancer. Therefore, it is likely that the usage of miRNAs as diagnostic and prognostic biomarkers in patients and the development of various techniques for the detection of microRNA in clinical research will become widespread. In this study, we aimed to develop an alternative to existing tools for the detection of miRNAs using an array platform based on sandwich hybridization. The sandwich hybridization method is one of the techniques developed for faster, more sensitive and reliable detection. This method constitutes target miRNA to be detected and two oligonucleotide probes which are half complementary to target miRNA. In this method, the capture probe (P1) which is fixed to the glass surface with the help of cross-linkers, is specific to one part of the target molecule.And then, target molecule binds to the capture probe and the existence of target molecule is defined with the binding of signal probe (P2). Sandwich hybridization system allows direct use of RNA and does not require any labelling or cDNA synthesis steps which are necessary in the current sequence systems. In order to construct platform with sandwich hybridization, glass slides coated with poly-l-lysin were used. The sequences of probe 1 were attached to the surface by using different cross linkers such as Sulfo-EMCS and SM(PEG)n. After the determination of cross linker which fixed probe 1 to surface, several parameters were tried to determine blocking conditions, hybridization conditions like temperature, duration, oligonucleotide type, signal probe, probes’ concentration, washing conditions, and the sensitivity of platform and the optimization experiments were conducted. These experiments were conducted first for miR-21 and optimum hybridization signal was obtained with SM(PEG)2 as cross linker, 20 μM capture and 20 μM signal probe concentrations, and 0.1 μM platform sensitivity at 30 ⁰C. Then, these conditions were used for synthetic miRNA sequences and optimized for all miRNA probe sets. After these, the developed platform was tested whether it is unique for the targeted sequence or not by applying target sequence, mixed with several signal probes, to surface involving different capture probes. According to our results, optimum hybridization signal was obtained with 10 μM capture and 10 μM signal probe concentrations and 0.01 μM platform sensitivity at 45 ⁰C. The potential of platform workability with total RNAs obtained from different cell lines was tested. Finally, the comparison was made from the point of miRNA expression levels and signals between normal and cancer cells. Later, the obtained signals were compared with results taken from RT-PCR. The results indicated that the developed platform is specific enough to detect target miRNA sequences.

Suggestions

A high throughput approach for analysis of cell nuclear deformability at single cell level
Ermis, Menekse; Akkaynak, Derya; Chen, Pu; Demirci, Utkan; Hasırcı, Vasıf Nejat (2016-11-14)
Various physiological and pathological processes, such as cell differentiation, migration, attachment, and metastasis are highly dependent on nuclear elasticity. Nuclear morphology directly reflects the elasticity of the nucleus. We propose that quantification of changes in nuclear morphology on surfaces with defined topography will enable us to assess nuclear elasticity and deformability. Here, we used soft lithography techniques to produce 3 dimensional (3-D) cell culture substrates decorated with micron ...
Integration of a Genetically Encoded Calcium Molecular Sensor into Photopolymerizable Hydrogels for Micro-Optrode-Based Sensing
Kahyaoğlu, Leyla Nesrin; Park, Joon Hyeong; Rickus, Jenna L. (American Chemical Society (ACS), 2017-09-20)
Genetically encoded molecular-protein sensors (GEMS) are engineered to sense and quantify a wide range of biological substances and events in cells, in vitro and even in vivo with high spatial and temporal resolution. Here, we aim to stably incorporate these proteins into a photopatternable matrix, while preserving their functionality, to extend the application of these proteins as spatially addressable optical biosensors. For this reason, we examined the fabrication of 3D hydrogel microtips doped with a ge...
Analysis of motifs in microRNA-transcription factor gene regulatory networks
Sürün, Bilge; Acar, Aybar Can; Purutçuoğlu Gazi, Vilda; Department of Bioinformatics (2014)
MicroRNAs are small non-coding RNA molecules which contain 21-25 nucleotides, and function in post transcriptional regulation by inhibiting the translation of mRNA targets. miRNAs typically affect gene regulation by forming composite feed forward circuits (cFFCs) which also comprise a transcription factor (TF) and a target gene. By analyzing these cFFCs, the contribution of miRNAs in altering TF networks can be revealed. These contributions could either be the de-escalation of the target gene repertoire or ...
Role of Vibrational Spectroscopy in Stem Cell Research
Aksoy, Ceren; Severcan, Feride (2012-01-01)
Recent researches have mainly displayed the significant role of stem cells in tissue renewal and homeostasis with their unique capacity to develop different cell types. These findings have clarified the importance of stem cells to improve the effectiveness of any cell therapy for regenerative medicine. Identification of purity and differentiation stages of stem cells are the greatest challenges of stem cell biology and regenerative medicine. The existing methods to carefully monitor and characterize the ste...
Modeling and simulation of metabolic networks for estimation of biomass accumulation parameters
Kaplan, U.; TÜRKAY, METİN; Biegler, L.; Karasözen, Bülent (2009-05-28)
Metabolic networks are defined as the collection of biochemical reactions within a cell that define the functions of that cell. Due to the growing need to understand the functions of biological organisms for industrial and medical purposes, modeling and simulation of metabolic networks has attracted a lot of attention recently. Traditionally, metabolic networks are modeled such as flux-balance analysis that considers the steady state nature of the cell. However, it is important to consider the dynamic behav...
Citation Formats
S. Atılgan, “Development of sandwich type nucleic acid array platform for the detection of micrornas in breast cancer,” M.S. - Master of Science, Middle East Technical University, 2014.