SERS-based genetic assay for amplification-free detection of prostate cancer specific PCA3 mimic DNA

Yu, Jimin; Jeon, Jin-Hyeok; Choi, Nak Sam; Lee, Jin Oh; Kim, Young‐Pil; Choo, Jaebum

doi:10.1016/j.snb.2017.05.039

Cited by 26 publications

(15 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In another label-free experiment, although one that requires a more complicated experimental procedure (similar to the application of labels), three ssDNAs are hybridized. Briefly, thiolated single-stranded DNA with a specific sequence is attached to plasmonic nanoparticles or plasmonic and magnetic nanoparticles [43][44][45][46][47][48][49][50]. Due to hybridization, in the presence of the target DNA, nanoparticles form agglomerates (Figure 3), which can be easily detected from the increase in the intensity of the measured SERS signal in the case of plasmonic agglomerates (the SERS enhancement factor is especially large for species located in the narrow slit between plasmonic structures), or from the formation of the plasmonic-magnetic agglomerates, which can concentrate by the magnetic field [51].…”

Section: Label-free Sensorsmentioning

confidence: 99%

Surface Enhanced Raman Spectroscopy for DNA Biosensors—How Far Are We?

et al. 2019

View full text Add to dashboard Cite

A sensitive and accurate identification of specific DNA fragments (usually containing a mutation) can influence clinical decisions. Standard methods routinely used for this type of detection are PCR (Polymerase Chain Reaction, and its modifications), and, less commonly, NGS (Next Generation Sequencing). However, these methods are quite complicated, requiring time-consuming, multi-stage sample preparation, and specially trained staff. Usually, it takes weeks for patients to obtain their results. Therefore, different DNA sensors are being intensively developed by many groups. One technique often used to obtain an analytical signal from DNA sensors is Raman spectroscopy. Its modification, surface-enhanced Raman spectroscopy (SERS), is especially useful for practical analytical applications due to its extra low limit of detection. SERS takes advantage of the strong increase in the efficiency of Raman signal generation caused by a local electric field enhancement near plasmonic (typically gold and silver) nanostructures. In this condensed review, we describe the most important types of SERS-based nanosensors for genetic studies and comment on their potential for becoming diagnostic tools.

show abstract

Section: Label-free Sensorsmentioning

confidence: 99%

Surface Enhanced Raman Spectroscopy for DNA Biosensors—How Far Are We?

et al. 2019

View full text Add to dashboard Cite

show abstract

“…The DL for the serum mi‐RNA‐141 recognition was determined to be 1.8 × 10 −12 m , indicating high sensitivity of the SERS‐based sandwich immunoassay. Yu et al recently proposed the SER‐based amplification‐free NT hybridization assay for sensing of prostate cancer specific biomarker prostate cancer antigen 3 (PCA3) mimic DNA . The DL for detection of the previously mentioned biomarker was 2.7 × 10 −15 , four times higher than conventional PCR‐based amplification.…”

Section: Nanomaterial‐based Cancer Sensing Systemsmentioning

confidence: 98%

Advanced Functional Structure‐Based Sensing and Imaging Strategies for Cancer Detection: Possibilities, Opportunities, Challenges, and Prospects

Kumar

Kukkar

Hashemi

et al. 2019

Adv Funct Materials

View full text Add to dashboard Cite

Cancer is the second most common cause of death in the world. The principal limitations thus far encountered in the clinical practice of probing cancer are diverse and include low sensitivity, time consumption, bulkiness, and cost. In this respect, nanomaterial (NM)-based sensing techniques are recognized as a superior alternative to efficiently resolve such limitations. A better understanding of NM-based sensing platforms is thus important so that these novel avenues can easily be explored for clinical applications. These platforms have the merits of high sensitivity, high specificity, rapid response, and easy-to-read signals. This review offers a comprehensive survey of NM-based advanced cancer-sensing techniques and will help the scientific community establish optimum sensing strategies based on an accurate assessment of the interactions between cancer biomarkers and NM-based platforms.but are not limited to, carcinoma, sarcoma, leukemia, lymphoma, non-Hodgkin lymphoma, myeloma, central nervous system cancer, lung and bronchus cancer, colon cancer, rectum cancer, prostate cancer, bladder cancer, kidney and renal pelvis cancer, endometrial cancer, pancreatic cancer, liver cancer, and thyroid cancers. [1] Moreover, the most commonly occurring cancers tend to differ by common criteria like sex and age. For example, men are at risk for prostate, lung, and colorectal cancer, women are at risk for breast, lung and colorectal cancer, and children are at risk for leukemia, brain tumors, and lymphoma. The severity of the cancer depends upon the development level or staging of the disease. [2] Likewise, the type of treatment required to treat the cancer is determined by the staging of the disease.The more severe condition of cancer is metastasis, i.e., the uncontrolled growth of cells that invade surrounding tissues. The metastasis condition of cancer can affect any organ of the body. [3] As per the WHO 2010 report on cancer, the lives of 30% patients could have been saved if the cancer was diagnosed earlier. The detection of cancer is not easy because the immune system does not necessarily consider cancerous cells as foreign bodies. However, a few changes (such as altered biomarker levels and the presence of cancerous cells in biological fluids) can be detected. [4] In general, cancer biomarkers are overexpressed proteins present in blood/serum and at the cancer cell surface. The accurate and efficient detection of these biomarkers can be useful for cancer detection. The major problem with biomarkers is their low level in the body during the earlier stages of cancer. Hence, an efficient sensor/device capable of detecting these molecules even at very low levels, if developed, could help the clinician efficiently diagnose cancer cells in the human body.The sensing techniques presently used by clinicians suffer from several limitations; specifically, they are time consuming, bulky, have low sensitivity, and are expensive. Nanomaterial (NM)-based techniques have become an important alternative to the laborious conventional...

show abstract

“…Some of the more researched morphologies include MNP-AuNP (Figure 11a) [233] and MNP-AgNP assemblies [234]. SERS-based genetic assays have been reported to be four orders of magnitude more sensitive than polymerase chain reaction (PCR) assays [235]. Such sensors were capable of bioimaging (Figure 11b) [236] as well as discriminating between healthy and cancerous cells [237].…”

Section: Sers Biosensorsmentioning

confidence: 99%

Recent Progress in Optical Sensors for Biomedical Diagnostics

2020

View full text Add to dashboard Cite

In recent years, several types of optical sensors have been probed for their aptitude in healthcare biosensing, making their applications in biomedical diagnostics a rapidly evolving subject. Optical sensors show versatility amongst different receptor types and even permit the integration of different detection mechanisms. Such conjugated sensing platforms facilitate the exploitation of their neoteric synergistic characteristics for sensor fabrication. This paper covers nearly 250 research articles since 2016 representing the emerging interest in rapid, reproducible and ultrasensitive assays in clinical analysis. Therefore, we present an elaborate review of biomedical diagnostics with the help of optical sensors working on varied principles such as surface plasmon resonance, localised surface plasmon resonance, evanescent wave fluorescence, bioluminescence and several others. These sensors are capable of investigating toxins, proteins, pathogens, disease biomarkers and whole cells in varied sensing media ranging from water to buffer to more complex environments such as serum, blood or urine. Hence, the recent trends discussed in this review hold enormous potential for the widespread use of optical sensors in early-stage disease prediction and point-of-care testing devices.

show abstract

SERS-based genetic assay for amplification-free detection of prostate cancer specific PCA3 mimic DNA

Cited by 26 publications

References 32 publications

Surface Enhanced Raman Spectroscopy for DNA Biosensors—How Far Are We?

Surface Enhanced Raman Spectroscopy for DNA Biosensors—How Far Are We?

Advanced Functional Structure‐Based Sensing and Imaging Strategies for Cancer Detection: Possibilities, Opportunities, Challenges, and Prospects

Recent Progress in Optical Sensors for Biomedical Diagnostics

Contact Info

Product

Resources

About