The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
A sensitive array for microRNA expression profiling (miChip) based on locked nucleic acids (LNA)
Open accessAbstract
MicroRNAs represent a class of short (∼22 nt), noncoding regulatory RNAs involved in development, differentiation, and metabolism. We describe a novel microarray platform for genome-wide profiling of mature miRNAs (miChip) using locked nucleic acid (LNA)-modified capture probes. The biophysical properties of LNA were exploited to design probe sets for uniform, high-affinity hybridizations yielding highly accurate signals able to discriminate between single nucleotide differences and, hence, between closely related miRNA family members. The superior detection sensitivity eliminates the need for RNA size selection and/or amplification. MiChip will greatly simplify miRNA expression profiling of biological and clinical samples.
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
The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14
Lee, R. C., Feinbaum, R. L., & Ambros, V. (1993) · Cell · doi:10.1016/0092-8674(93)90529-y · Cited by 12,948
MicroRNA Gene Expression Deregulation in Human Breast Cancer
Iorio, M. V., Ferracin, M., Liu, C.-G., Veronese, A., Spizzo, R., Sabbioni, S., Magri, E., Pedriali, M., Fabbri, M., Campiglio, M., et al. (2005) · Cancer Research · doi:10.1158/0008-5472.can-05-1783 · Cited by 4,053
Sempere, L. F., Freemantle, S., Pitha-Rowe, I., Moss, E., Dmitrovsky, E., & Ambros, V. (2004) · Genome Biology · doi:10.1186/gb-2004-5-3-r13 · Cited by 1,578
BASKERVILLE, S., & BARTEL, D. P. (2005) · RNA · doi:10.1261/rna.7240905 · Cited by 1,508
A microRNA array reveals extensive regulation of microRNAs during brain development
KRICHEVSKY, A. M., KING, K. S., DONAHUE, C. P., KHRAPKO, K., & KOSIK, K. S. (2003) · RNA · doi:10.1261/rna.5980303 · Cited by 1,040
An oligonucleotide microchip for genome-wide microRNA profiling in human and mouse tissues
Liu, C.-G., Calin, G. A., Meloon, B., Gamliel, N., Sevignani, C., Ferracin, M., Dumitru, C. D., Shimizu, M., Zupo, S., Dono, M., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0403293101 · Cited by 948
Probing microRNAs with microarrays: tissue specificity and functional inference
BABAK, T., ZHANG, W., MORRIS, Q., BLENCOWE, B. J., & HUGHES, T. R. (2004) · RNA · doi:10.1261/rna.7119904 · Cited by 385
Cited by
MicroRNA-21 contributes to myocardial disease by stimulating MAP kinase signalling in fibroblasts
Thum, T., Gross, C., Fiedler, J., Fischer, T., Kissler, S., Bussen, M., Galuppo, P., Just, S., Rottbauer, W., Frantz, S., et al. (2008) · Nature · doi:10.1038/nature07511 · Cited by 2,349
Self-citationMicroRNA profiling: approaches and considerations
Pritchard, C. C., Cheng, H. H., & Tewari, M. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3198 · Cited by 1,765
A novel and universal method for microRNA RT-qPCR data normalization
Mestdagh, P., Van Vlierberghe, P., De Weer, A., Muth, D., Westermann, F., Speleman, F., & Vandesompele, J. (2009) · Genome Biology · doi:10.1186/gb-2009-10-6-r64 · Cited by 1,079
Clinical relevance of circulating cell-free microRNAs in cancer
Schwarzenbach, H., Nishida, N., Calin, G. A., & Pantel, K. (2014) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2014.5 · Cited by 969
Micro-RNA profiling reveals a role for miR-29 in human and murine liver fibrosis
Roderburg, C., Urban, G.-W., Bettermann, K., Vucur, M., Zimmermann, H., Schmidt, S., Janssen, J., Koppe, C., Knolle, P., Castoldi, M., et al. (2011) · Hepatology · doi:10.1002/hep.23922 · Cited by 803
Self-citation
Metadata
- Authors
- Castoldi, M., Schmidt, S., Benes, V., Noerholm, M., Kulozik, A. E., Hentze, M. W., & Muckenthaler, M. U.
- Venue
- RNA
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2006-03-15
- Volume
- 12
- Issue
- 5
- Pages
- 913-920
- ISSN
- 1355-8382 (ISSN-L)
- 1469-9001
- OpenAlex
- W2141128504
- Cited by
- 429
- References
- 7
- FWCI
- 17.51
- Type
- journal article
- Language
- en
- Open access
- bronze
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: A sensitive array for microRNA expression profiling (miChip) based on locked nucleic acids (LNA). https://app.cochat.ai/papers/10.1261/rna.2332406
- The paper
- Castoldi, M., Schmidt, S., Benes, V., Noerholm, M., Kulozik, A. E., Hentze, M. W., & Muckenthaler, M. U. (2006). A sensitive array for microRNA expression profiling (miChip) based on locked nucleic acids (LNA). RNA. https://doi.org/10.1261/rna.2332406
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.