Enzyme-free and label-free fluorescence sensor for the detection of liver cancer related short gene

Li, Xianghui; Gan, Ling; Ou, Qishui; Xi, Zhang; Cai, Sanjun; Wu, Dongshuang; Chen, Mei; Xia, Yaokun; Chen, Jinghua; Yang, Bin

doi:10.1016/j.bios.2014.11.049

Cited by 25 publications

(12 citation statements)

References 27 publications

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“…Ethanolamine was received from Fisher Scientific, (Massachusetts, USA). All the following 15 mers, probe sequence: 5 -COOH-C6-TAGGAAAGGCTGCCA-3 ; complete complementary target sequence: 5 -TGGCAGCCTTTCCTA-3 ; single-base mismatched sequence: 5 -TGGCAGCgTTTCCTA-3 ; three-base mismatched sequence: 5 -TGcCAGgCTTTCgTA-3 ; and noncomplementary sequence: 5 -TAGGAAAGGCTGCCA-3 [14,15] were chemically synthesized from Apical Scientific Oligo (Kuala Lumpur, Malaysia).…”

Section: Methodsmentioning

confidence: 99%

Silica nanoparticle assists determining liver cancer gene sequence on interdigitated electrode surface

Song

Yang

Gopinath

2020

Biotech and App Biochem

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A high-performance interdigitated electrode (IDE) biosensing surface was reported here by utilizing self-assembled silica nanoparticle (SiNP). The modified surface was used to evaluate the complementation of hairpin forming region from Mitoxantrone resistance gene 7 (MXR7; liver cancer-related short gene). The conjugated SiNPs on 3-aminopropyl triethoxysilane functionalization were captured with probe sequence on IDE biosensing surface. The physical and chemically modified surface was used to quantify MXR7 and an increment in the current response upon complementation was noticed. Limit of target DNA detection was calculated (1-10 fM) and this label-free detection is at the comparable level to the fluorescent-based sensing. A linear regression was calculated [y = 0.243x − 0.0773; R 2 = 0.9336] and the sensitivity was 1 fM on the linear range of 1 fM to 10 pM. With the strong attachment of capture DNA on IDE through SiNP, the surface clearly discriminates the specificity (complementary) versus nonspecificity (complete-, single-, and triple-mismatched sequences). This detection strategy helps to determine liver cancer progression and the similar strategy can be followed for other gene sequence complementation.

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Section: Methodsmentioning

confidence: 99%

Silica nanoparticle assists determining liver cancer gene sequence on interdigitated electrode surface

Song

Yang

Gopinath

2020

Biotech and App Biochem

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“…It is necessary to examine the extent of disease to plan suitable therapies. Specifically, the patient's survival rate can be enriched using earlier diagnosis and treatment, which reduces the cost of treatment [31]. Tumour patients can be treated by utilizing a liquid biopsy test that hints at the doctors with an essential range of information needed for treatment.…”

Section: Liver Cancer Detectionmentioning

confidence: 99%

Analysis on segmentation and biomarker‐based approaches for liver cancer detection: A survey

Gunasekhar¹,

Vijayalakshmi²

2020

IET Image Processing

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Liver cancer is the major reason for death in this entire world. Manual detection of cancer tissue is found time consuming and difficult. Therefore, the development of an automatic detection approach with high accuracy for liver cancer is considered as the main aim of this work. The image processing approach can use the CAD for the classification of liver cancer in order to assist the physician in the decision-making process. An automated approach to effective classification of the liver tumour using effective features is conveyed in terms of the CAD system. Traditionally, radiologists delineate the liver and liver lesion on a slice-by-slice basis, which is time consuming and susceptible to inter-and intra-rater variations. Automatic methods for the segmentation of liver and liver tumours are, thus, highly demanded in clinical practice. A systematic review is being carried out to detect reported liver cancer from 2013 to 2020. Finally, a more precise technical direction is provided for all researchers in this review. Research gaps for earlier detection and its potential future aspects are also discussed. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…A label free and enzyme free biosensor for detection of liver cancer related short gene (MXR7) was devised based on target recycling, and ThT induced G4 formation in human serum (Li et al, 2015).…”

Section: Thioflavin-t: Nucleic Acid Sensormentioning

confidence: 99%

“…The interaction between these domains, G-rich sequences and MXR7 results in formation of G-quadruplex which ultimately binds to ThT resulting in fluorescence enhancement. This sensor system facilitates sensitive detection of MXR7 in the range of 0 fM to 350 fM with LOD value of 10fM (Li et al, 2015).…”

Section: Thioflavin-t: Nucleic Acid Sensormentioning

confidence: 99%

Thioflavin T: A versatile optical probe for chemo and biosensing

Singh

Pettiwala

Mudliar

2019

PINSA

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Enzyme-free and label-free fluorescence sensor for the detection of liver cancer related short gene

Cited by 25 publications

References 27 publications

Silica nanoparticle assists determining liver cancer gene sequence on interdigitated electrode surface

Silica nanoparticle assists determining liver cancer gene sequence on interdigitated electrode surface

Analysis on segmentation and biomarker‐based approaches for liver cancer detection: A survey

Thioflavin T: A versatile optical probe for chemo and biosensing

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