CoChat
Sign Up
Cited by 248

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

MicroRNA amplification and detection technologies: opportunities and challenges for point of care diagnostics

Dave, Vivek Priy, Ngo, Tien Anh, Pernestig, Anna-Karin, Tilevik, Diana, Kant, Krishna, Nguyen, Trieu, Wolff, Anders, Bang, Dang Duong·2019·Laboratory Investigation
DOI 10.1038/s41374-018-0143-3
Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41374-018-0143-3

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 3 references

Research works printed but not linked: 88

  1. Essandoh, 2014, Role of extracellular and intracellular microRNAs in sepsis, Biochim Biophys Acta, 1842, 2155, 10.1016/j.bbadis.2014.07.021 · DOI
  2. Lim, 2005, Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs, Nature, 433, 769, 10.1038/nature03315 · DOI · Paper page
  3. Calin, 2006, MicroRNA signatures in human cancers, Nat Rev Cancer, 6, 857, 10.1038/nrc1997 · DOI
  4. Wang, 2016, MicroRNA as biomarkers and diagnostics, J Cell Physiol, 231, 25, 10.1002/jcp.25056 · DOI · Paper page
  5. Correia, 2017, Circulating microRNAs as potential biomarkers of infectious disease, Front Immunol, 8, 1, 10.3389/fimmu.2017.00118 · DOI
  6. Chen, 2008, Characterization of microRNAs in serum: a novel class of biomarkers for diagnosis of cancer and other diseases, Cell Res, 18282, 997, 10.1038/cr.2008.282 · DOI · Paper page
  7. Mitchell, 2008, Circulating microRNAs as stable blood-based markers for cancer detection, Proc Natl Acad Sci USA, 105, 10513, 10.1073/pnas.0804549105 · DOI · Paper page
  8. Sempere, 2014, Tissue slide-based microRNA characterization of tumors: how detailed could diagnosis become for cancer medicine?, Expert Rev Mol Diagn, 14, 853, 10.1586/14737159.2014.944507 · DOI
  9. Weber, 2010, The microRNA spectrum in 12 body fluids, Clin Chem, 56, 1733, 10.1373/clinchem.2010.147405 · DOI · Paper page
  10. Kost, 2008, Point-of-Care Testing: principles, practice, and critical-emergency-disaster medicine, Encycl Anal Chem, 1
  11. Luppa, 2016, Clinically relevant analytical techniques, organizational concepts for application and future perspectives of point-of-care testing, Biotechnol Adv, 34, 139, 10.1016/j.biotechadv.2016.01.003 · DOI
  12. Zhou, 2016, Circulating microRNAs as biomarkers for the early diagnosis of childhood tuberculosis infection, Mol Med Rep, 13, 4620, 10.3892/mmr.2016.5097 · DOI
  13. Paranjape, 2009, MicroRNAs: tools for cancer diagnostics, Gut, 58, 1546, 10.1136/gut.2009.179531 · DOI
  14. Iorio, 2012, MicroRNA dysregulation in cancer: diagnostics, monitoring and therapeutics. A comprehensive review, EMBO Mol Med, 4, 143, 10.1002/emmm.201100209 · DOI
  15. Price, 2014, MicroRNAs in cancer biology and therapy: current status and perspectives, Genes Dis, 1, 53, 10.1016/j.gendis.2014.06.004 · DOI
  16. D'angelo, 2016, MicroRNAs: a puzzling tool in cancer diagnostics and therapy, Anticancer Res, 36, 5571, 10.21873/anticanres.11142 · DOI
  17. Cheerla, 2017, MicroRNA based pan-cancer diagnosis and treatment recommendation, BMC Bioinform, 18, 1, 10.1186/s12859-016-1421-y · DOI
  18. Gilad, 2012, Classification of the four main types of lung cancer using a microRNA-based diagnostic assay, J Mol Diagn, 14, 510, 10.1016/j.jmoldx.2012.03.004 · DOI
  19. Egatz-Gomez, 2016, Future microfluidic and nanofluidic modular platforms for nucleic acid liquid biopsy in precision medicine, Biomicrofluidics, 10, 032902(1), 10.1063/1.4948525 · DOI
  20. Lu, 2005, MicroRNA expression profiles classify human cancers, Nature, 435, 834, 10.1038/nature03702 · DOI
  21. Kai, 2017, Secretory microRNAs as biomarkers of cancer, Semin Cell Dev Biol, 78, 22, 10.1016/j.semcdb.2017.12.011 · DOI
  22. Leggio, 2017, microRNAs in Parkinson's disease: from pathogenesis to novel diagnostic and therapeutic approaches, Int J Mol Sci, 18, E2698, 10.3390/ijms18122698 · DOI
  23. Tang, 2003, A biochemical framework for RNA silencing in plants, Genes Dev, 2, 49, 10.1101/gad.1048103 · DOI
  24. Böhm-Hofstätter, 2010, Comparison of hybridization methods and real-time PCR: their value in animal cell line characterization, Appl Microbiol Biotechnol, 87, 419, 10.1007/s00253-010-2580-9 · DOI
  25. Reue, 1998, mRNA quantitation techniques: considerations for experimental design and application, J Nutr, 128, 2038, 10.1093/jn/128.11.2038 · DOI
  26. Novogrodsky, 1966, The and enzymatic phosphorylation deoxyribonucleic acid of ribonucleic acid, J Biol Chem, 241, 2933, 10.1016/S0021-9258(18)96554-3 · DOI
  27. Hilario, 2004, End labeling procedures: an overview, Mol Biotechnol, 28, 77, 10.1385/MB:28:1:77 · DOI
  28. McDougall, 1972, In situ hybridization of adenovirus RNA and DNA, Nature, 236, 346, 10.1038/236346a0 · DOI
  29. Nelson, 2006, RAKE and LNA-ISH reveal microRNA expression and localization in RAKE and LNA-ISH reveal microRNA expression and localization in archival human brain, RNA, 12, 187, 10.1261/rna.2258506 · DOI · Paper page
  30. Kloosterman, 2006, In situ detection of miRNAs in animal embryos using LNA-modified oligonucleotide probes, Nat Methods, 3, 27, 10.1038/nmeth843 · DOI · Paper page
  31. Kwon, 2013, Single-molecule fluorescence in situ hybridization: quantitative imaging of single RNA molecules, BMB Rep, 46, 65, 10.5483/BMBRep.2013.46.2.016 · DOI
  32. Hanna, 2012, Quantitative analysis of microRNAs in tissue microarrays by in situ hybridization, Biotechniques, 52, 235, 10.2144/000113837 · DOI
  33. Parisi, 2012, Integrated analysis of tumor samples sheds light on tumor heterogeneity, Yale J Biol Med, 85, 347
  34. Wei, 2013, Technology-driven and evidence-based genomic analysis for integrated pediatric and prenatal genetics evaluation, J Genet Genom, 40, 1, 10.1016/j.jgg.2012.12.004 · DOI
  35. Martin, 2015, Detection of chromosomal aberrations in clinical practice: from karyotype to genome sequence, Annu Rev Genom Hum Genet, 16, 309, 10.1146/annurev-genom-090413-025346 · DOI
  36. Vedarethinam, 2010, Metaphase FISH on a chip: miniaturized microfluidic device for fluorescence in situ hybridization, Sensors, 10, 9831, 10.3390/s101109831 · DOI
  37. Kwasny, 2012, Advanced microtechnologies for detection of chromosome abnormalities by fluorescent in situ hybridization, Biomed Microdevices, 14, 453, 10.1007/s10544-011-9622-7 · DOI
  38. Kao, 2015, A fluorescence in situ hybridization (FISH) microfluidic platform for detection of HER2 amplification in cancer cells, Biosens Bioelectron, 69, 272, 10.1016/j.bios.2015.03.003 · DOI
  39. Shi, 2005, Facile means for quantifying microRNA expression by real-time PCR, Biotechniques, 39, 519, 10.2144/000112010 · DOI
  40. Mei, 2012, A facile and specific assay for fuantifying microRNA by an optimized RT-qPCR approach, PLoS One, 7, e46890, 10.1371/journal.pone.0046890 · DOI
  41. Ge, 2014, A universal linker-RT PCR based quantitative method for the detection of circulating miRNAs, Anal Methods, 6, 9101, 10.1039/C4AY01602E · DOI
  42. Chen, 2005, Real-time quantification of microRNAs by stem-loop RT-PCR, Nucleic Acids Res, 33, e179, 10.1093/nar/gni178 · DOI
  43. Raymond, 2005, Simple, quantitative primer-extension PCR assay for direct monitoring of microRNAs and short-interfering RNAs, RNA, 11, 1737, 10.1261/rna.2148705 · DOI
  44. Huang, 2015, Quantification of mature MicroRNAs using pincer probes and real-time PCR amplification, PLoS One, 10, e0120160, 10.1371/journal.pone.0120160 · DOI
  45. Androvic, 2017, Two-tailed RT-qPCR: a novel method for highly accurate miRNA quantification, Nucleic Acids Res, 45, e144, 10.1093/nar/gkx588 · DOI
  46. Li, 2009, Real-time polymerase chain reaction microRNA detection based on enzymatic stem-loop probes ligation, Anal Chem, 81, 5446, 10.1021/ac900598d · DOI
  47. Tang, 2006, MicroRNA expression profiling of single whole embryonic stem cells, Nucleic Acids Res, 34, e9, 10.1093/nar/gnj009 · DOI
  48. Aikens, 1988, Solid-state imagers for microscopy, Methods Cell Biol, 29, 291, 10.1016/S0091-679X(08)60199-5 · DOI
  49. Jiang, 2012, Direct microRNA detection with universal tagged probe and time-resolved fluorescence technology, Biosens Bioelectron, 34, 291, 10.1016/j.bios.2012.01.035 · DOI
  50. Duan, 2011, Label-free high-throughput microRNA expression profiling from total RNA, Nucleic Acids Res, 39, e154, 10.1093/nar/gkr774 · DOI
  51. Yin, 2008, Profiling microRNA expression with microarrays, Trends Biotechnol, 26, 70, 10.1016/j.tibtech.2007.11.007 · DOI
  52. Lu, 2008, The birth and death of microRNA genes in Drosophila, Nat Genet, 40, 351, 10.1038/ng.73 · DOI
  53. Friedländer, 2008, Discovering microRNAs from deep sequencing data using miRDeep, Nat Biotechnol, 26, 407, 10.1038/nbt1394 · DOI
  54. Diehl, 2012, Microparticles: major transport vehicles for distinct microRNAs in circulation, Cardiovasc Res, 93, 633, 10.1093/cvr/cvs007 · DOI
  55. Moldovan, 2014, Methodological challenges in utilizing miRNAs as circulating biomarkers, J Cell Mol Med, 18, 371, 10.1111/jcmm.12236 · DOI · Paper page
  56. Jia, 2010, Ultrasensitive detection of microRNAs by exponential isothermal amplification, Angew Chem Int Ed Engl, 49, 5498, 10.1002/anie.201001375 · DOI
  57. Li, 2011, One-step ultrasensitive detection of microRNAs with loop-mediated isothermal amplification (LAMP), Chem Commun, 47, 2595, 10.1039/C0CC03957H · DOI
  58. Notomi, 2000, Loop-mediated isothermal amplification of DNA, Nucleic Acids Res, 28, e63, 10.1093/nar/28.12.e63 · DOI · Paper page
  59. Jonstrup, 2006, A microRNA detection system based on padlock probes and rolling circle amplification, RNA, 12, 1747, 10.1261/rna.110706 · DOI
  60. Cheng, 2009, Highly sensitive determination of microRNA using target-primed and branched rolling-circle amplification, Angew Chem Int Ed Engl, 48, 3268, 10.1002/anie.200805665 · DOI
  61. Goo, 2016, Rolling circle amplification as isothermal gene amplification in molecular diagnostics, BioChip J, 10, 262, 10.1007/s13206-016-0402-6 · DOI
  62. Sajid, 2015, Designs, formats and applications of lateral flow assay: a literature review, J Saudi Chem Soc, 19, 689, 10.1016/j.jscs.2014.09.001 · DOI
  63. Tripathi, 2018, Recent advancements in lateral flow immunoassays: a journey for toxin detection in food, Crit Rev Food Sci Nutr, 58, 1715, 10.1080/10408398.2016.1276048 · DOI
  64. Hou, 2012, MicroRNA detection using lateral flow nucleic acid strips with gold nanoparticles, Talanta, 99, 375, 10.1016/j.talanta.2012.05.067 · DOI
  65. Gao, 2016, An enzyme-amplified lateral flow strip biosensor for visual detection of microRNA-224, Talanta, 146, 648, 10.1016/j.talanta.2015.06.060 · DOI
  66. Feng, 2017, Detection of microRNA: a point-of-care testing method based on a pH-responsive and highly efficient isothermal amplification, Anal Chem, 89, 6631, 10.1021/acs.analchem.7b00850 · DOI
  67. Choi, 2014, Oligonucleotide-templated reactions based on Peptide Nucleic Acid (PNA) probes: concept and biomedical applications, Bioorg Med Chem, 22, 4395, 10.1016/j.bmc.2014.05.071 · DOI
  68. Metcalf, 2016, Amplification-free detection of circulating microRNA biomarkers from body fluids based on fluorogenic oligonucleotide-templated reaction between engineered peptide nucleic acid probes: application to prostate cancer diagnosis, Anal Chem, 88, 8091, 10.1021/acs.analchem.6b01594 · DOI
  69. Degliangeli, 2014, Nanotechnology-based strategies for the detection and quantification of microRNA, Chemistry, 20, 9476, 10.1002/chem.201402649 · DOI
  70. Degliangeli, 2014, Absolute and sirect microRNA quantification using DNA-gold nanoparticle probes, J Am Chem Soc, 136, 2264, 10.1021/ja412152x · DOI
  71. Pang, 2016, Fe3O4@Ag magnetic nanoparticles for microRNA capture and duplex-specific nuclease signal amplification based SERS detection in cancer cells, Biosens Bioelectron, 79, 574, 10.1016/j.bios.2015.12.052 · DOI
  72. Hamidi-asl, 2013, A review on the electrochemical biosensors for determination of microRNAs, Talanta, 115, 74, 10.1016/j.talanta.2013.03.061 · DOI
  73. Labuda, 2010, Electrochemical nucleic acid-based biosensors: concepts, terms, and methodology (IUPAC Technical Report), Pure Appl Chem, 82, 1161, 10.1351/PAC-REP-09-08-16 · DOI
  74. Gao, 2006, Detection of microRNAs using electrocatalytic nanoparticle tags, Anal Chem, 78, 1470, 10.1021/ac051726m · DOI
  75. Campuzano, 2014, Magnetobiosensors based on viral protein p19 for microRNA determination in cancer cells and tissues, Angew Chem Int Ed Engl, 53, 6168, 10.1002/anie.201403270 · DOI
  76. Torrente-Rodríguez, 2016, Fast electrochemical miRNAs determination in cancer cells and tumor tissues with antibody-functionalized magnetic microcarriers, ACS Sensors, 1, 896, 10.1021/acssensors.6b00266 · DOI
  77. Vogt, 1973, Purification and properties of single-strand-specific nuclease from Aspergillus oryzae, Eur J Biochem, 33, 192, 10.1111/j.1432-1033.1973.tb02669.x · DOI
  78. Zhou, 2016, Electrochemical biosensor for microRNA detection based on hybridization protection against nuclease S1 digestion, J Solid State Electrochem, 20, 413, 10.1007/s10008-015-3005-6 · DOI
  79. Wang, 2006, Electrochemical biosensors: towards point-of-care cancer diagnostics, Biosens Bioelectron, 21, 1887, 10.1016/j.bios.2005.10.027 · DOI
  80. Craighead, 2006, Future lab-on-a-chip technologies for interrogating individual molecules, Nature, 442, 387, 10.1038/nature05061 · DOI
  81. Arata, 2012, Rapid microRNA detection using power-free microfluidic chip: coaxial stacking effect enhances the sandwich hybridization, Analyst, 137, 3234, 10.1039/c2an16154k · DOI
  82. Arata, 2012, Rapid and sensitive MicroRNA detection with laminar flow-assisted dendritic amplification on power-free microfluidic chip, PLoS One, 7, e48329, 10.1371/journal.pone.0048329 · DOI
  83. Zhang, 2018, Hand-powered centrifugal microfluidic platforms inspired by a spinning top for sample-to-answer diagnostics of nucleic acids, Lab Chip, 18, 610, 10.1039/C7LC01234A · DOI
  84. Salim, 2017, Microfluidic device for novel breast cancer screening by blood test using miRNA beacon probe, Biomed Micro, 19
  85. Fernández-Carballo, 2018, Continuous-flow, microfluidic, qRT-PCR system for RNA virus detection, Anal Bioanal Chem, 410, 33, 10.1007/s00216-017-0689-8 · DOI
  86. Vashist, 2015, Emerging technologies for next-generation point-of-care testing, Trends Biotechnol, 33, 692, 10.1016/j.tibtech.2015.09.001 · DOI
  87. Teo, 2014, The development of electrochemical assays for microRNAs, Electrochim Acta, 126, 19, 10.1016/j.electacta.2013.06.113 · DOI
  88. King, 2016, Point-of-care technologies for precision cardiovascular care and clinical research: National Heart, Lung, and Blood Institute Working Group, JACC Basic Transl Sci, 1, 73, 10.1016/j.jacbts.2016.01.008 · DOI

Cited by

Sorted by citations

See all 248

Metadata

Authors
Dave, V. P., Ngo, T. A., Pernestig, A.-K., Tilevik, D., Kant, K., Nguyen, T., Wolff, A., & Bang, D. D.
ORCID
Ngo, Tien Anh
Venue
Laboratory Investigation
Publisher
Elsevier BV
Published
2019-04
Volume
99
Issue
4
Pages
452-469
ISSN
0023-6837
DOI
10.1038/s41374-018-0143-3
Cited by
248
References
3
Language
en
Licence

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: MicroRNA amplification and detection technologies: opportunities and challenges for point of care diagnostics. https://app.cochat.ai/papers/10.1038/s41374-018-0143-3
The paper
Dave, V. P., Ngo, T. A., Pernestig, A.-K., Tilevik, D., Kant, K., Nguyen, T., Wolff, A., & Bang, D. D. (2019). MicroRNA amplification and detection technologies: opportunities and challenges for point of care diagnostics. Laboratory Investigation. https://doi.org/10.1038/s41374-018-0143-3