The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
MicroRNAs as novel biological targets for detection and regulation
Abstract
MicroRNAs are being considered as a novel type of bio-markers and potential therapeutic targets for various diseases. Diverse chemical tools are being developed for the detection or regulation of microRNAs with bio-medical implications. Chemical probes have been developed for use in combination with in situ signal amplification strategies to realize sensitive detection of microRNAs of low abundance. Regulation of microRNAs aberrantly expressed in tumours represents a new approach to cancer chemotherapy. Synthetic oligonucleotides including antisense oligonucleotides and microRNA mimics have been successfully delivered into cells or tissues to inhibit or enhance the function of specific endogenous microRNAs. Small-molecule modifiers of microRNAs that modify the expression or function of endogenous microRNAs are emerging not only as useful probes to explore microRNA-involved regulatory networks, but also as potential therapeutic reagents. In this tutorial review, we discuss the strategies developed by chemists in recent years for microRNA detection and regulation, with a focus on the potential of these chemical tools in microRNA-related biomedical applications.
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.
Integrity signals
Registry
Cites
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.
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
MicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068
MicroRNA expression profiles classify human cancers
Lu, J., Getz, G., Miska, E. A., Alvarez-Saavedra, E., Lamb, J., Peck, D., Sweet-Cordero, A., Ebert, B. L., Mak, R. H., Ferrando, A. A., et al. (2005) · Nature · doi:10.1038/nature03702 · Cited by 9,539
Chen, X., Ba, Y., Ma, L., Cai, X., Yin, Y., Wang, K., Guo, J., Zhang, Y., Chen, J., Guo, X., et al. (2008) · Cell Research · doi:10.1038/cr.2008.282 · Cited by 4,560
Self-citationSilencing of microRNAs in vivo with ‘antagomirs’
Krützfeldt, J., Rajewsky, N., Braich, R., Rajeev, K. G., Tuschl, T., Manoharan, M., & Stoffel, M. (2005) · Nature · doi:10.1038/nature04303 · Cited by 3,949
Treatment of HCV Infection by Targeting MicroRNA
Janssen, H. L. A., Reesink, H. W., Lawitz, E. J., Zeuzem, S., Rodriguez-Torres, M., Patel, K., van der Meer, A. J., Patick, A. K., Chen, A., Zhou, Y., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1209026 · Cited by 2,204
MicroRNA: Function, Detection, and Bioanalysis
Dong, H., Lei, J., Ding, L., Wen, Y., Ju, H., & Zhang, X. (2013) · Chemical Reviews · doi:10.1021/cr300362f · Cited by 1,224
MicroRNA sponges: Progress and possibilities
Ebert, M. S., & Sharp, P. A. (2010) · RNA · doi:10.1261/rna.2414110 · Cited by 762
Rapid electronic detection of probe-specific microRNAs using thin nanopore sensors
Wanunu, M., Dadosh, T., Ray, V., Jin, J., McReynolds, L., & Drndić, M. (2010) · Nature Nanotechnology · doi:10.1038/nnano.2010.202 · Cited by 736
miR-34 – a microRNA replacement therapy is headed to the clinic
Bader, A. G. (2012) · Frontiers in Genetics · doi:10.3389/fgene.2012.00120 · Cited by 728
MicroRNA detection by northern blotting using locked nucleic acid probes
Várallyay, É., Burgyán, J., & Havelda, Z. (2008) · Nature Protocols · doi:10.1038/nprot.2007.528 · Cited by 677
Cited by
Azimzadeh, M., Rahaie, M., Nasirizadeh, N., Ashtari, K., & Naderi-Manesh, H. (2016) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2015.09.020 · Cited by 342
Metadata
- Authors
- Li, J., Tan, S., Kooger, R., Zhang, C., & Zhang, Y.
- Venue
- Chem. Soc. Rev.
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2014
- Volume
- 43
- Issue
- 2
- Pages
- 506-517
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W1982925953
- Cited by
- 275
- References
- 47
- FWCI
- 1.28
- Type
- journal article
- Language
- en
- Open access
- closed
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: MicroRNAs as novel biological targets for detection and regulation. https://app.cochat.ai/papers/10.1039/c3cs60312a
- The paper
- Li, J., Tan, S., Kooger, R., Zhang, C., & Zhang, Y. (2014). MicroRNAs as novel biological targets for detection and regulation. Chem. Soc. Rev. https://doi.org/10.1039/c3cs60312a
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
