Point-of-Care Testing of microRNAs: Comparison
Please note this is a comparison between Version 2 by Peter Tang and Version 1 by Xin-min Li.

MicroRNAs (miRNAs) are a class of small noncoding RNAs that are approximately 22 nt in length and regulate gene expression post-transcriptionally. miRNAs play a vital role in both physiological and pathological processes and are regarded as promising biomarkers for cancer, cardiovascular diseases, neurodegenerative diseases, and so on. Accurate detection of miRNA expression level in clinical samples is important for miRNA-guided diagnostics. However, the common miRNA detection approaches like RNA sequencing, qRT-PCR, and miRNA microarray are performed in a professional laboratory with complex intermediate steps and are time-consuming and costly, challenging the miRNA-guided diagnostics. Hence, sensitive, highly specific, rapid, and easy-to-use detection of miRNAs is crucial for clinical diagnosis based on miRNAs. With the advantages of being specific, sensitive, efficient, cost-saving, and easy to operate, point-of-care testing (POCT) has been widely used in the detection of miRNAs.

  • microRNA (miRNA)
  • point-of-care testing (POCT)
  • visual detection
  • portable instruments

1. Introduction

MicroRNAs (miRNAs) are a type of small noncoding RNA with a length of ~21–25 nt that act as regulators of gene expression at the post-transcriptional level [1]. The miRNA genes are transcribed into hairpin-containing pre-miRNA by RNA polymerase III, and the long dsRNA precursors are processed by Drosha and Dicer consecutively [2,3][2][3]. The generated small dsRNAs are loaded onto an argonaute family protein (AGO) to form an RNA-induced silencing complex (RISC). After loading, the passenger strand of the miRNA duplex exits to produce a single-stranded mature miRNA, and the mature RISC induces translational repression, mRNA deadenylation, and mRNA decay [4,5][4][5]. miRNAs play vital roles in development. miRNAs regulate cellular activities, including cell growth, differentiation, and apoptosis, and aberrant expression of miRNAs promotes the occurrence and development of diseases. In recent decades, miRNAs have been implicated in various human diseases. Hence, many studies have attempted to apply miRNAs to disease diagnosis, and miRNAs show great promise as diagnostic biomarkers, as miRNAs can not only circulate in the human blood in remarkably stable forms, such as exosomes, but they are also widely present in other bio-microenvironments, such as urine, saliva, and cerebrospinal fluid [6,7][6][7]. Accurate detection of dysregulated circulating miRNAs in biofluids is important for miRNA-guided diagnostics in a noninvasive fashion. There have been many conventional methods for the quantitative detection of miRNAs, such as northern blot, microarray, RNA-seq and RT-qPCR [8]. Although these traditional methods are relatively highly sensitive and specific, these approaches also have various limitations. For example, northern blotting and real-time PCR are sensitive and specific, but they are also labor-intensive and require specialized equipment. Microarray and RNA-seq are high-throughput methods that allow the simultaneous detection of multiple miRNAs, but they are also expensive and require complex data analysis, and these approaches for miRNA detection are performed in a professional laboratory, which is challenging for the application of miRNA detection in clinical practice. Therefore, it has driven the development of reliable point-of-care testing (POCT) of miRNAs. Point-of-care testing (POCT) is defined as testing performed near or in the field of a patient, for whom faster results may lead to changes in patient care [9]. Recently, POCT has been applied to the quantitative detection of miRNAs and has made rapid progress. To be more detailed, POCT can provide accurate and ultrasensitive tumor screening results for patients with the advantages of a no-fuss operation, low cost, and rapidity [10,11,12,13][10][11][12][13]. At the same time, POCT is also suitable for resource-limited areas, or even for self-testing. Previous reviews provided valuable information on the evolution of POCT-detection methods for miRNAs and the applied amplification strategies in POCT for miRNAs [14,15][14][15]. The development in detection of multiple miRNAs and the new progress in biosensors, microfluidics, and lateral flow assays (LFAs) for miRNA detection have also been well reviewed [16,17,18][16][17][18].

2. POCT of miRNAs

Point-of-care testing (POCT) is defined as testing conducted near or at the site of the patient, and rapid testing may improve patient care [9]. POCT can provide accurate and ultrasensitive disease screening results for patients with the advantages of easy operation, low cost, rapidity, and a visual readout [10,11,12,13][10][11][12][13]. The development and validation of POCT for early screening of a series of clinical diseases holds great significance. Moreover, POCT provides the possibility of medical guidance and disease screening in remote areas. Recently, POCT has been applied to the rapid and quantitative detection of miRNAs and has made rapid progress. Microfluidics, paper-based biosensors, portable instruments, and visual detection play important roles in POCT and are very promising methods for POCT of miRNAs. To date, dozens of specialized strategies of miRNA detection based on microfluidics and paper-based biosensors have been reported. Microfluidics and paper-based biosensors for miRNA detection have been well reviewed [17,18][17][18].

2.1. POCT of miRNAs Based on Portable Instruments

To avoid the need for bulky instruments and auxiliary devices to obtain a high-sensitivity quantitative signal output, we urgently need a sensing strategy that is controllable, low in cost, and independent of sophisticated equipment but that can offer automated readouts for disease-related miRNAs. In this section, wthe researchers introduce the current situation of the application of off-the-shelf instruments in miRNA detection, analyze and evaluate the possibility and feasibility of their application, and predict their future development trend. A summary of reported POCT methods for miRNAs based on portable instruments is presented below (Table 1). Table 1.
The detection methods of miRNAs based on portable instruments. 

Methods

miRNA

The researchers provide an all-sided discussion of the principles of the methods and rationally evaluate the applicability of these visual detection methods for early diagnosis based on miRNA detection. A summary of the reported POCT for miRNAs based on colorimetric methods is presented below (Table 2). Colorimetric assays provide qualitative or quantitative measurement of targets by measuring color changes with no need for special instruments. Detecting a change in color can be used to determine the presence or absence of a target or even to determine its amount range. As color changes can be conveniently judged by the naked eye, colorimetric assays have attracted increasing attention for POCT for miRNAs [12]. Table 2.
The detection methods of miRNAs based on visual methods.

Methods

miRNA

Detection Limit

Detection Limit

Samples

Time

Reference

Samples

Time

Reference

Personal glucose meter

miR-21

0.41 nM/

1 million cells

synthesized miR-21/A549 cell lysates

<2 h

Colorimetric detection based on Au-NPs

miR-21

miR-155

[

21

]

[19]

5 ng μL−1

Plasma

<3 min

[63][42]

 

miR-21

10 fM

synthesized miR-21

<2 h

[23][20]

 

miR-93

miR-223

-

Human serum

-

[64][43]

 

miR-21

miRNA205

 

miR-34a

miR-210

2.4 pM

1.1 pM

50 ng μL−1

synthesized miR-21

synthesized miRNA205

Urine

<3 h

<20 min

[26][21]

[

66

]

[44]

 

miR-21

3.65 nM

 

miR-195

40 fM

synthesized miR-21

clinical serum samples from cancer patients

2 h

[22]

Human serum

10 min

[67][45]

 

miR-21

60 pM

3 × 106 cells/mL

 

miR-210-3p

10 pM

synthesized miR-21

MCF-7, A549 and HeLa cell lysates

<3 h

Urine

[24][23]

20 min

[

68][46]

 

miR-21

 

miR-21

miR-155

68.08 fM

1 ng μL−1

synthesized miR-21

urine samples from DIKI mice

Multiple cancerous cell lines and primary fibroblast

1.5 h

<10 min

[25][24]

[

69

]

[

 

miRNA-155

0.36 fM

synthesized miRNA-155

>5 h

[27][25]

47

]

 

miR-21

miR-141

3 pM

Synthesized miRNA human serum samples

<5 h

[70][48]

 

miR-21, miR-335, miR-155, and miR-122

 

miR-137

0.325 fmol

0.5 nM

synthesized miRNAs

extract from HeLa, HepG2, MCF-7, and L02 Cells

Plasma

6 h

[28][26]

1 min

[72][49]

Thermometer

miR-21

7.8 nM

synthesized miR-21

HeLa cell lysate

Not mentioned

[

 

miR-146a

5 nM

Raw cow milk

20 min

35][27]

[

76

]

[

50]

 

miRNA-141

 

let-7a

0.5 pM

0.13 pM

synthesized miRNA-141

A549 cells

>8 h

[36][28]

Pressure meter

miR-21

7.6 fM

100 cells

1.9 nM

synthesized miR-21

A549, MCF-7, HepG2 and HL-7702 cells

Plasma

20 min

5 min

[38][29]

[

75

]

[

52]

 

miR-21

10 pM

Serum

0.5 h

 

miR-122

16 pM

Cancerous cell lines

2 h

[39][30]

[

79

]

[

53]

Portable fluorometer

miR-574-5p

2 ng/μL

RNA extract from 5XFAD mice

>3 h

[40][31]

 

let-7a

3.13 fM

Human serum

1 h

[80][54]

Capillary force meter

miR-21

10 nM

Human serum

1 h

MCF-7 cell line

25 min

[44][33]

 

miR-203

10 pM

MCF-7 cells

-

[82][55]

 

miR-21

0.23 fM

HeLa, MCF-7, AGS cells

0.5 h

[84][56]

Smartphone

miR-133a

0.3 pM

synthesized miR-133a in serum

>5 h

 

let-7a

4.176 aM

[

Synthesized let-7a

1 h

50][34]

[

83

]

[

57]

 

miRNA-499, miRNA-133a

10 fM

synthesized miR-133a in serum

13 h

 

miR-221-3p

46 fM

[

51

][35]

 

let-7a

1.7 fM

synthesized let-7a

human serum

2.75 h

[56][36]

 

miR-133a,

miR-499

1 fM

Synthesized miRNAs

human serum

-

[52][37]

50 min

[

81

][51]

 

miR-148a

[

43

]

[32]

 

miR-21

 

BEL-7404, MDA-MB231, HeLa, and 22Rv1cells

1 h

[85][58]

 

miR-143

1 fM

Synthesized miR-143

Prostate cancer cell lines VCaP, LNCaP, Du145, and PC-3

>1.5 h

[87][59]

Colorimetric detection based on enzymatic chromogenic reactions

let-7a

7.4 fM

Synthesized let-7a

2.5 h

[92][60]

 

miR-21,

let-7a

fM

Synthesized miRNAs

human serum

<2 h

[49][38]

 

miR-122

0.15 aM

Serum

5 min

[93][61]

 

miR-21

 

miR-21

1.43 pM

0.2 pM

Synthesized miR-21

human serum, urine

0.5 h

Serum

50 min

[58][39]

[

94

]

[

62]

 

miR-224

1.6 fM

Synthesized miR-224

human plasma

<4.5 h

[59][40]

 

miR-21

1 aM

Serum

<4 h

[95][63]

 

miR-21

100 fM

 

Let-7a

500 cells

34 fM

Synthesized miR-21

MCF-7 and L02 cells

>1 h

[57][41]

2.2. Visual Detection of miRNAs Based on Colorimetry

Visual detection is particularly attractive for POCT because the readout can be read with the naked eye with no need for instruments. In this section, wthe researchers summarize recent advances in the visual detection of miRNAs, mainly focusing on colorimetric methods. We

A549 cells

4 h

[

96

]

[

64

]

 

miR-10b

1 fM

Serum and cell extracts

20 min

[97][65]

 

miR-141

0.48 nM

Serum

>3 h

[100][66]

 

miR-21

1 pM

Serum

150 min

[102][67]

 

miR-141

0.5 pM

Prostate cancer cells

210 min

[104][68]

 

miR-21

90.3 fM

Serum

<1.5 h

[105][69]

 

miR-21,

miR-17

1.7 fM

MCF-7

80 min

[106][70]

 

let-7a

0.1 nM

Serum

3 min

[108][71]

 

miR-21

44.76 fM

Exosome

2 h

[111][72]

 

miR-21,

miR-155

0.38 nM

Blood

>1 h

[112][73]

 

miR-21

4.5 nM

MCF-7 and serum

130 min

[113][74]

 

miR-21

5 fM

Plasma sample

Cancer cells

Tumor tissues

>6.5 h

[109][75]

 

miR-155

0.6 pM

Plasma

15 min

[115][76]

 

miR-205,

miR-944

36.4 fM

Serum

>2 h

[116][77]

 

miR-155

31.8 fM

Serum

1 h

[117][78]

 

miR-223

miR-143

20 pM

Synthesized miR-223

iPSCs and CMs

3.5 h

[118][79]

References

  1. Ha, M.; Kim, V.N. Regulation of microRNA biogenesis. Nat. Rev. Mol. Cell Biol. 2014, 15, 509–524.
  2. Brate, J.; Neumann, R.S.; Fromm, B.; Haraldsen, A.A.B.; Tarver, J.E.; Suga, H.; Donoghue, P.C.J.; Peterson, K.J.; Ruiz-Trillo, I.; Grini, P.E.; et al. Unicellular Origin of the Animal MicroRNA Machinery. Curr. Biol. 2018, 28, 3288–3295.e5.
  3. Dexheimer, P.J.; Cochella, L. MicroRNAs: From Mechanism to Organism. Front. Cell Dev. Biol. 2020, 8, 409.
  4. Higa, G.S.; de Sousa, E.; Walter, L.T.; Kinjo, E.R.; Resende, R.R.; Kihara, A.H. MicroRNAs in neuronal communication. Mol. Neurobiol. 2014, 49, 1309–1326.
  5. Vishnoi, A.; Rani, S. MiRNA Biogenesis and Regulation of Diseases: An Overview. Methods Mol. Biol. 2017, 1509, 1–10.
  6. Weber, J.A.; Baxter, D.H.; Zhang, S.; Huang, D.Y.; Huang, K.H.; Lee, M.J.; Galas, D.J.; Wang, K. The microRNA spectrum in 12 body fluids. Clin. Chem. 2010, 56, 1733–1741.
  7. Mitchell, P.S.; Parkin, R.K.; Kroh, E.M.; Fritz, B.R.; Wyman, S.K.; Pogosova-Agadjanyan, E.L.; Peterson, A.; Noteboom, J.; O’Briant, K.C.; Allen, A.; et al. Circulating microRNAs as stable blood-based markers for cancer detection. Proc. Natl. Acad. Sci. USA 2008, 105, 10513–10518.
  8. Cheng, Y.; Dong, L.; Zhang, J.; Zhao, Y.; Li, Z. Recent advances in microRNA detection. Analyst 2018, 143, 1758–1774.
  9. Luppa, P.B.; Muller, C.; Schlichtiger, A.; Schlebusch, H. Point-of-care testing (POCT): Current techniques and future perspectives. Trends Anal. Chem. 2011, 30, 887–898.
  10. Wei, H.; Peng, Y.; Bai, Z.; Rong, Z.; Wang, S. Duplex-specific nuclease signal amplification-based fluorescent lateral flow assay for the point-of-care detection of microRNAs. Anal. 2021, 146, 558–564.
  11. Giuffrida, M.C.; Spoto, G. Integration of isothermal amplification methods in microfluidic devices: Recent advances. Biosens. Bioelectron. 2017, 90, 174–186.
  12. Liu, X.; Zhang, H.; Qin, S.; Wang, Q.; Yang, X.; Wang, K. Optical fiber amplifier for quantitative and sensitive point-of-care testing of myoglobin and miRNA-141. Biosens. Bioelectron. 2019, 129, 87–92.
  13. Zhou, P.; Lu, F.; Wang, J.; Wang, K.; Liu, B.; Li, N.; Tang, B. A portable point-of-care testing system to diagnose lung cancer through the detection of exosomal miRNA in urine and saliva. Chem. Commun. 2020, 56, 8968–8971.
  14. Kalogianni, D.P.; Kalligosfyri, P.M.; Kyriakou, I.K.; Christopoulos, T.K. Advances in microRNA analysis. Anal. Bioanal. Chem. 2018, 410, 695–713.
  15. Gines, G.; Menezes, R.; Xiao, W.; Rondelez, Y.; Taly, V. Emerging isothermal amplification technologies for microRNA biosensing: Applications to liquid biopsies. Mol. Asp. Med. 2020, 72, 100832.
  16. Jet, T.; Gines, G.; Rondelez, Y.; Taly, V. Advances in multiplexed techniques for the detection and quantification of microRNAs. Chem. Soc. Rev. 2021, 50, 4141–4161.
  17. Wang, N.; Zhang, J.; Xiao, B.; Sun, X.; Xie, R.; Chen, A. Recent advances in the rapid detection of microRNA with lateral flow assays. Biosens. Bioelectron. 2022, 211, 114345.
  18. Mousavi, S.M.; Amin Mahdian, S.M.; Ebrahimi, M.S.; Taghizadieh, M.; Vosough, M.; Sadri Nahand, J.; Hosseindoost, S.; Vousooghi, N.; Javar, H.A.; Larijani, B.; et al. Microfluidics for detection of exosomes and microRNAs in cancer: State of the art. Mol. Ther. Nucleic Acids 2022, 28, 758–791.
  19. Wu, T.; Yang, Y.; Cao, Y.; Song, Y.; Xu, L.P.; Zhang, X.; Wang, S. Bioinspired DNA-Inorganic Hybrid Nanoflowers Combined with a Personal Glucose Meter for Onsite Detection of miRNA. ACS Appl. Mater. Interfaces 2018, 10, 42050–42057.
  20. Guo, L.; Li, H.; Zhao, R.; Tang, Y.; Li, B. Sensitive, general and portable detection of RNAs combining duplex-specific nuclease transduction with an off-shelf signalling platform. Chem. Commun. 2021, 57, 5714–5717.
  21. Gong, S.; Li, J.; Pan, W.; Li, N.; Tang, B. Duplex-Specific Nuclease-Assisted CRISPR-Cas12a Strategy for MicroRNA Detection Using a Personal Glucose Meter. Anal. Chem. 2021, 93, 10719–10726.
  22. Yin, F.; Cai, R.; Gui, S.; Zhang, Y.; Wang, X.; Zhou, N. A portable and quantitative detection of microRNA-21 based on cascade enzymatic reactions with dual signal outputs. Talanta 2021, 235, 122802.
  23. Wu, T.; Cao, Y.; Yang, Y.; Zhang, X.; Wang, S.; Xu, L.P.; Zhang, X. A three-dimensional DNA walking machine for the ultrasensitive dual-modal detection of miRNA using a fluorometer and personal glucose meter. Nanoscale 2019, 11, 11279–11284.
  24. Huang, X.; Li, J.; Lu, M.; Zhang, W.; Xu, Z.; Yu, B.Y.; Tian, J. Point-of-care testing of MicroRNA based on personal glucose meter and dual signal amplification to evaluate drug-induced kidney injury. Anal. Chim. Acta 2020, 1112, 72–79.
  25. Fu, P.; Xu, M.; Xing, S.; Zhao, Y.; Zhao, C. Dual cascade isothermal amplification reaction based glucometer sensors for point-of-care diagnostics of cancer-related microRNAs. Anal. 2021, 146, 3242–3250.
  26. Si, Y.; Li, L.; Wang, N.; Zheng, J.; Yang, R.; Li, J. Oligonucleotide Cross-Linked Hydrogel for Recognition and Quantitation of MicroRNAs Based on a Portable Glucometer Readout. ACS Appl. Mater. Interfaces 2019, 11, 7792–7799.
  27. Liu, X.; Zhang, M.; Chen, Z.; Cui, J.; Yang, L.; Lu, Z.; Qi, F.; Wang, H. Photothermal Detection of MicroRNA Using a Horseradish Peroxidase-Encapsulated DNA Hydrogel With a Portable Thermometer. Front. Bioeng. Biotechnol. 2021, 9, 799370.
  28. Li, L.; Yang, H.; Li, L.; Tan, X.; Ge, S.; Zhang, L.; Yu, J.; Zhang, Y. Photothermal-Reagent-Triggered Visual Thermoresponsive and Quantized Photoelectrochemical Dual-Signal Assay. ACS Sens. 2022, 7, 2429–2437.
  29. Shi, L.; Lei, J.; Zhang, B.; Li, B.; Yang, C.J.; Jin, Y. Ultrasensitive and Facile Detection of MicroRNA via a Portable Pressure Meter. ACS Appl. Mater. Interfaces 2018, 10, 12526–12533.
  30. Shi, L.; Liu, W.; Li, B.; Yang, C.J.; Jin, Y. Multichannel Paper Chip-Based Gas Pressure Bioassay for Simultaneous Detection of Multiple MicroRNAs. ACS Appl. Mater. Interfaces 2021, 13, 15008–15016.
  31. Nambannor Kunnath, R.; Venukumar, A.; Gorthi, S.S. Handheld fluorometer for in-situ melamine detection via interference synthesis of dsDNA-templated copper nanoparticles. Spectrochim. Acta A Mol. Biomol. Spectrosc. 2020, 235, 118304.
  32. Li, Y.; Men, X.; Gao, G.; Tian, Y.; Wen, Y.; Zhang, X. A distance-based capillary biosensor using wettability alteration. Lab. A Chip 2021, 21, 719–724.
  33. Wang, H.; Wang, H.H.; Li, Y.S.; Jiang, C.; Chen, D.S.; Wen, Y.Q.; Li, Z.P. Capillarity self-driven DNA hydrogel sensor for visual quantification of microRNA. Sens. Actuat. B-Chem. 2020, 313, 128036.
  34. Sun, Y.; Shi, L.; Wang, Q.; Mi, L.; Li, T. Spherical Nucleic Acid Enzyme (SNAzyme) Boosted Chemiluminescence miRNA Imaging Using a Smartphone. Anal. Chem. 2019, 91, 3652–3658.
  35. Shi, L.; Sun, Y.; Mi, L.; Li, T. Target-Catalyzed Self-Growing Spherical Nucleic Acid Enzyme (SNAzyme) as a Double Amplifier for Ultrasensitive Chemiluminescence MicroRNA Detection. ACS Sens. 2019, 4, 3219–3226.
  36. Li, Y.; Zhou, L.; Ni, W.; Luo, Q.; Zhu, C.; Wu, Y. Portable and Field-Ready Detection of Circulating MicroRNAs with Paper-Based Bioluminescent Sensing and Isothermal Amplification. Anal. Chem. 2019, 91, 14838–14841.
  37. Mi, L.; Sun, Y.; Shi, L.; Li, T. Hemin-Bridged MOF Interface with Double Amplification of G-Quadruplex Payload and DNAzyme Catalysis: Ultrasensitive Lasting Chemiluminescence MicroRNA Imaging. ACS Appl. Mater. Interfaces 2020, 12, 7879–7887.
  38. Tian, Y.; Zhang, L.; Wang, H.; Ji, W.; Zhang, Z.; Zhang, Y.; Yang, Z.; Cao, Z.; Zhang, S.; Chang, J. Intelligent Detection Platform for Simultaneous Detection of Multiple MiRNAs Based on Smartphone. ACS Sens. 2019, 4, 1873–1880.
  39. Yang, Y.; Liu, S.; Cui, X.; Yang, L.; Zhang, J.; Mao, X.; Gao, Y. Sensitive detection of miRNA based on enzyme-propelled multiple photoinduced electron transfer strategy. Mikrochim. Acta 2021, 188, 219.
  40. Zhu, Y.; Wang, J.; Xie, H.; Liu, H.; Liu, S.; He, D.; Mi, P.; He, S.; Wang, J.; Sun, Y. NIR-to-Vis Handheld Platforms for Detecting miRNA Level and Mutation Based on Sub-10 nm Sulfide Nanodots and HCR Amplification. ACS Appl. Mater. Interfaces 2022, 14, 10212–10226.
  41. Lu, W.; Wang, Y.; Song, S.; Chen, C.; Yao, B.; Wang, M. A fishhook probe-based rolling circle amplification (FP-RCA) assay for efficient isolation and detection of microRNA without total RNA extraction. Analytical 2018, 143, 5046–5053.
  42. Mollasalehi, H.; Hamidi, A. Early-phase nano-genosensing of cell-free nucleobiomarkers in the plasma of cancerous patients. Nanomedicine 2021, 32, 102344.
  43. Pitou, M.; Papi, R.M.; Tzavellas, A.N.; Choli-Papadopoulou, T. ssDNA-Modified Gold Nanoparticles as a Tool to Detect miRNA Biomarkers in Osteoarthritis. ACS Omega 2023, 8, 7529–7535.
  44. Nossier, A.I.; Shehata, N.I.; Morsy, S.M.; Saeed, D.F.; Elsayed, N.M.; Ismail, M.F.; Eissa, S. Determination of certain urinary microRNAs as promising biomarkers in diabetic nephropathy patients using gold nanoparticles. Anal. Biochem. 2020, 609, 113967.
  45. Xu, Z.; Zheng, K.; Du, Z.; Xin, J.; Luo, M.; Wang, F. Colorimetric identification of miRNA-195 sequence for diagnosing osteosarcoma. Biotechnol. Appl. Biochem. 2022, 69, 974–980.
  46. Nossier, A.I.; Abdelzaher, H.; Matboli, M.; Eissa, S. Dual approach for the colorimetric determination of unamplified microRNAs by using citrate capped gold nanoparticles. Mikrochim. Acta 2018, 185, 236.
  47. Mollasalehi, H.; Shajari, E. A colorimetric nano-biosensor for simultaneous detection of prevalent cancers using unamplified cell-free ribonucleic acid biomarkers. Bioorg Chem. 2021, 107, 104605.
  48. Li, Z.H.; Yang, M.; Zhao, C.X.; Shu, Y. Bifunctional Y-shaped probe combined with dual amplification for colorimetric sensing and molecular logic operation of two miRNAs. Talanta 2023, 259, 124480.
  49. Delkhahi, S.; Rahaie, M.; Rahimi, F. Design and Fabrication a Gold Nanoparticle-DNA Based Nanobiosensor for Detection of microRNA Involved in Alzheimer’s Disease. J. Fluoresc. 2017, 27, 603–610.
  50. Sanchez-Visedo, A.; Gallego, B.; Royo, L.J.; Soldado, A.; Valledor, M.; Ferrero, F.J.; Campo, J.C.; Costa-Fernandez, J.M.; Fernandez-Arguelles, M.T. Visual detection of microRNA146a by using RNA-functionalized gold nanoparticles. Mikrochim. Acta 2020, 187, 192.
  51. Hu, B.; Guo, J.; Xu, Y.; Wei, H.; Zhao, G.; Guan, Y. A sensitive colorimetric assay system for nucleic acid detection based on isothermal signal amplification technology. Anal. Bioanal. Chem. 2017, 409, 4819–4825.
  52. Cai, J.; Ding, L.; Gong, P.; Huang, J. A colorimetric detection of microRNA-148a in gastric cancer by gold nanoparticle-RNA conjugates. Nanotechnology 2020, 31, 095501.
  53. Wang, Q.; Li, R.D.; Yin, B.C.; Ye, B.C. Colorimetric detection of sequence-specific microRNA based on duplex-specific nuclease-assisted nanoparticle amplification. Analyst 2015, 140, 6306–6312.
  54. Zhu, S.; Yang, Y.Q.; Ding, Y.; Feng, N.; Li, M.; Yin, Y. Engineering entropy-driven based multiple signal amplification strategy for visualized assay of miRNA by naked eye. Talanta 2021, 235, 122810.
  55. Li, S.; Shang, X.; Liu, J.; Wang, Y.; Guo, Y.; You, J. A universal colorimetry for nucleic acids and aptamer-specific ligands detection based on DNA hybridization amplification. Anal. Biochem. 2017, 528, 47–52.
  56. Wei, S.; Chen, G.; Jia, X.; Mao, X.; Chen, T.; Mao, D.; Zhang, W.; Xiong, W. Exponential amplification reaction and triplex DNA mediated aggregation of gold nanoparticles for sensitive colorimetric detection of microRNA. Anal. Chim. Acta 2020, 1095, 179–184.
  57. Jiang, J.; Zhang, B.; Zhang, C.; Guan, Y. A Novel Design Combining Isothermal Exponential Amplification and Gold-Nanoparticles Visualization for Rapid Detection of miRNAs. Int. J. Mol. Sci. 2018, 19, 3374.
  58. Li, R.D.; Yin, B.C.; Ye, B.C. Ultrasensitive, colorimetric detection of microRNAs based on isothermal exponential amplification reaction-assisted gold nanoparticle amplification. Biosens. Bioelectron. 2016, 86, 1011–1016.
  59. Jiang, W.; Chen, Z.; Lu, J.; Ren, X.; Ma, Y. Ultrasensitive visual detection of miRNA-143 using a CRISPR/Cas12a-based platform coupled with hyperbranched rolling circle amplification. Talanta 2023, 251, 123784.
  60. Wu, H.; Liu, Y.; Wang, H.; Wu, J.; Zhu, F.; Zou, P. Label-free and enzyme-free colorimetric detection of microRNA by catalyzed hairpin assembly coupled with hybridization chain reaction. Biosens. Bioelectron. 2016, 81, 303–308.
  61. Tang, S.; Qi, T.; Yao, Y.; Tang, L.; Chen, W.; Chen, T.; Shen, W.; Kong, D.; Shi, H.W.; Liu, T.; et al. Magnetic Three-Phase Single-Drop Microextraction for Rapid Amplification of the Signals of DNA and MicroRNA Analysis. Anal. Chem. 2020, 92, 12290–12296.
  62. Zhang, D.; Wu, C.; Luan, C.; Gao, P.; Wang, H.; Chi, J.; Kong, T. Distance-based quantification of miRNA-21 by the coffee-ring effect using paper devices. Mikrochim. Acta 2020, 187, 513.
  63. Hosseinzadeh, E.; Ravan, H.; Mohammadi, A.; Mohammad-Rezaei, R.; Norouzi, A.; Hosseinzadeh, H. Target-triggered three-way junction in conjugation with catalytic concatemers-functionalized nanocomposites provides a highly sensitive colorimetric method for miR-21 detection. Biosens. Bioelectron. 2018, 117, 567–574.
  64. Li, R.; Liu, Q.; Jin, Y.; Li, B. Sensitive colorimetric determination of microRNA let-7a through rolling circle amplification and a peroxidase-mimicking system composed of trimeric G-triplex and hemin DNAzyme. Mikrochim. Acta 2020, 187, 139.
  65. Zhou, T.; Huang, M.; Lin, J.; Huang, R.; Xing, D. High-Fidelity CRISPR/Cas13a trans-Cleavage-Triggered Rolling Circle Amplified DNAzyme for Visual Profiling of MicroRNA. Anal. Chem. 2021, 93, 2038–2044.
  66. Park, Y.; Lee, C.Y.; Kang, S.; Kim, H.; Park, K.S.; Park, H.G. Universal, colorimetric microRNA detection strategy based on target-catalyzed toehold-mediated strand displacement reaction. Nanotechnology 2018, 29, 085501.
  67. Hosseinzadeh, E.; Ravan, H.; Mohammadi, A.; Pourghadamyari, H. Colorimetric detection of miRNA-21 by DNAzyme-coupled branched DNA constructs. Talanta 2020, 216, 120913.
  68. Zhou, W.; Liang, W.; Li, X.; Chai, Y.; Yuan, R.; Xiang, Y. MicroRNA-triggered, cascaded and catalytic self-assembly of functional "DNAzyme ferris wheel" nanostructures for highly sensitive colorimetric detection of cancer cells. Nanoscale 2015, 7, 9055–9061.
  69. Yang, X.; Yuan, L.; Xu, Y.; He, B. Target-catalyzed self-assembled spherical G-quadruplex/hemin DNAzymes for highly sensitive colorimetric detection of microRNA in serum. Anal. Chim. Acta 2023, 1247, 340879.
  70. Yan, Y.; Shen, B.; Wang, H.; Sun, X.; Cheng, W.; Zhao, H.; Ju, H.; Ding, S. A novel and versatile nanomachine for ultrasensitive and specific detection of microRNAs based on molecular beacon initiated strand displacement amplification coupled with catalytic hairpin assembly with DNAzyme formation. Anal. 2015, 140, 5469–5474.
  71. Xu, H.; Yang, F.; Chen, D.; Ye, W.; Xue, G.; Jia, L. Trigging stepwise-strand displacement amplification lights up numerous G-quadruplex for colorimetric signaling of serum microRNAs. iScience 2023, 26, 106331.
  72. Xia, Y.; Chen, T.; Zhang, L.; Zhang, X.; Shi, W.; Chen, G.; Chen, W.; Lan, J.; Li, C.; Sun, W.; et al. Colorimetric detection of exosomal microRNA through switching the visible-light-induced oxidase mimic activity of acridone derivate. Biosens. Bioelectron. 2021, 173, 112834.
  73. Agahi, M.; Rahaie, M. A novel DNA tweezers-based nanobiosensor for multiple detections of circulating exosomal microRNAs in breast cancer. Anal. Biochem. 2022, 651, 114697.
  74. Lan, L.; Wang, R.L.; Liu, L.; Cheng, L. A label-free colorimetric detection of microRNA via G-quadruplex-based signal quenching strategy. Anal. Chim. Acta 2019, 1079, 207–211.
  75. Zeng, Y.; Yue, H.; Cao, B.; Li, Y.; Yang, M.; Mao, C. Target-Triggered Formation of Artificial Enzymes on Filamentous Phage for Ultrasensitive Direct Detection of Circulating miRNA Biomarkers in Clinical Samples. Angew. Chem. Int. Ed. Engl. 2022, 61, e202210121.
  76. Borghei, Y.S.; Hosseini, M.; Ganjali, M.R. Visual detection of miRNA using peroxidase-like catalytic activity of DNA-CuNCs and methylene blue as indicator. Clin. Chim. Acta Int. J. Clin. Chem. 2018, 483, 119–125.
  77. Gong, S.; Wang, X.; Zhou, P.; Pan, W.; Li, N.; Tang, B. AND Logic-Gate-Based CRISPR/Cas12a Biosensing Platform for the Sensitive Colorimetric Detection of Dual miRNAs. Anal. Chem. 2022, 94, 15839–15846.
  78. Ying, N.; Sun, T.; Chen, Z.; Song, G.; Qi, B.; Bu, S.; Sun, X.; Wan, J.; Li, Z. Colorimetric detection of microRNA based hybridization chain reaction for signal amplification and enzyme for visualization. Anal. Biochem. 2017, 528, 7–12.
  79. Broto, M.; Kaminski, M.M.; Adrianus, C.; Kim, N.; Greensmith, R.; Dissanayake-Perera, S.; Schubert, A.J.; Tan, X.; Kim, H.; Dighe, A.S.; et al. Nanozyme-catalysed CRISPR assay for preamplification-free detection of non-coding RNAs. Nat. Nanotechnol. 2022, 17, 1120–1126.
More
ScholarVision Creations