The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
A high-throughput method to monitor the expression of microRNA precursors
Open accessAbstract
microRNAs (miRNAs) are small, functional, non-coding RNAs. miRNAs are transcribed as long primary transcripts (primary precursors) that are processed to the approximately 75 nt precursors (pre-miRNAs) by the nuclear enzyme Drosha. The approximately 22 nt mature miRNA is processed from the pre-miRNA by the RNase III Dicer. The vast majority of published studies to date have used northern blotting to detect the expression of miRNAs. We describe here a sensitive, high throughput, real-time PCR assay to monitor the expression of miRNA precursors. Gene-specific primers and reverse transcriptase were used to convert the primary precursors and pre-miRNAs to cDNA. The expression of 23 miRNA precursors in six human cancer cell lines was assayed using the PCR assay. The miRNA precursors accumulated to different levels when compared with each other or when a single precursor is compared in the various cell lines. The precursor expression profile of three miRNAs determined by the PCR assay was identical to the mature miRNA expression profile determined by northern blotting. We propose that the PCR assay may be scaled up to include all of the 150+ known human miRNA genes and can easily be adaptable to other organisms such as plants, Caenorhabditis elegans and Drosophila.
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
Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
Livak, K. J., & Schmittgen, T. D. (2001) · Methods · doi:10.1006/meth.2001.1262 · Cited by 180,860
Self-citationCluster analysis and display of genome-wide expression patterns
Eisen, M. B., Spellman, P. T., Brown, P. O., & Botstein, D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.25.14863 · Cited by 16,184
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
Calin, G. A., Dumitru, C. D., Shimizu, M., Bichi, R., Zupo, S., Noch, E., Aldler, H., Rattan, S., Keating, M., Rai, K., et al. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.242606799 · Cited by 5,111
Identification of Novel Genes Coding for Small Expressed RNAs
Lagos-Quintana, M., Rauhut, R., Lendeckel, W., & Tuschl, T. (2001) · Science · doi:10.1126/science.1064921 · Cited by 4,956
Mutation of the mouse klotho gene leads to a syndrome resembling ageing
Kuro-o, M., Matsumura, Y., Aizawa, H., Kawaguchi, H., Suga, T., Utsugi, T., Ohyama, Y., Kurabayashi, M., Kaname, T., Kume, E., et al. (1997) · Nature · doi:10.1038/36285 · Cited by 3,837
Brennecke, J., Hipfner, D. R., Stark, A., Russell, R. B., & Cohen, S. M. (2003) · Cell · doi:10.1016/s0092-8674(03)00231-9 · Cited by 2,042
Ketting, R. F., Fischer, S. E. J., Bernstein, E., Sijen, T., Hannon, G. J., & Plasterk, R. H. A. (2001) · Genes & Development · doi:10.1101/gad.927801 · Cited by 1,852
Cleavage of Scarecrow-like mRNA Targets Directed by a Class of Arabidopsis miRNA
Llave, C., Xie, Z., Kasschau, K. D., & Carrington, J. C. (2002) · Science · doi:10.1126/science.1076311 · Cited by 1,627
The microRNAs of Caenorhabditis elegans
Lim, L. P., Lau, N. C., Weinstein, E. G., Abdelhakim, A., Yekta, S., Rhoades, M. W., Burge, C. B., & Bartel, D. P. (2003) · Genes & Development · doi:10.1101/gad.1074403 · Cited by 1,259
Cited by
Real-time quantification of microRNAs by stem-loop RT-PCR
Chen, C. (2005) · Nucleic Acids Research · doi:10.1093/nar/gni178 · Cited by 4,952
Unique microRNA molecular profiles in lung cancer diagnosis and prognosis
Yanaihara, N., Caplen, N., Bowman, E., Seike, M., Kumamoto, K., Yi, M., Stephens, R. M., Okamoto, A., Yokota, J., Tanaka, T., et al. (2006) · Cancer Cell · doi:10.1016/j.ccr.2006.01.025 · Cited by 3,023
microRNAs as oncogenes and tumor suppressors
Zhang, B., Pan, X., Cobb, G. P., & Anderson, T. A. (2007) · Developmental Biology · doi:10.1016/j.ydbio.2006.08.028 · Cited by 2,749
MicroRNA-21 Is an Antiapoptotic Factor in Human Glioblastoma Cells
Chan, J. A., Krichevsky, A. M., & Kosik, K. S. (2005) · Cancer Research · doi:10.1158/0008-5472.can-05-0137 · Cited by 2,557
MicroRNA biogenesis: coordinated cropping and dicing
Kim, V. N. (2005) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1644 · Cited by 2,546
Metadata
- Authors
- Schmittgen, T. D.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-02-23
- Volume
- 32
- Issue
- 4
- Pages
- 43e-43
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2131118100
- Cited by
- 483
- References
- 12
- FWCI
- 11.39
- Type
- journal article
- Language
- en
- Open access
- green
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 high-throughput method to monitor the expression of microRNA precursors. https://app.cochat.ai/papers/10.1093/nar/gnh040
- The paper
- Schmittgen, T. D. (2004). A high-throughput method to monitor the expression of microRNA precursors. Nucleic Acids Research. https://doi.org/10.1093/nar/gnh040
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.
