The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Reduced stability and intracellular transport of dsRNA contribute to poor RNAi response in lepidopteran insects
Open accessAbstract
RNA interference (RNAi) has become a widely used reverse genetic tool to study gene function in eukaryotic organisms and is being developed as a technology for insect pest management. The efficiency of RNAi varies among organisms. Insects from different orders also display differential efficiency of RNAi, ranging from highly efficient (coleopterans) to very low efficient (lepidopterans). We investigated the reasons for varying RNAi efficiency between lepidopteran and coleopteran cell lines and also between the Colorado potato beetle, Leptinotarsa decemlineata and tobacco budworm, Heliothis virescens. The dsRNA either injected or fed was degraded faster in H. virescens than in L. decemlineata. Both lepidopteran and coleopteran cell lines and tissues efficiently took up the dsRNA. Interestingly, the dsRNA administered to coleopteran cell lines and tissues was taken up and processed to siRNA whereas the dsRNA was taken up by lepidopteran cell lines and tissues but no siRNA was detected in the total RNA isolated from these cell lines and tissues. The data included in this paper showed that the degradation and intracellular transport of dsRNA are the major factors responsible for reduced RNAi efficiency in lepidopteran insects.
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
Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans
Fire, A., Xu, S., Montgomery, M. K., Kostas, S. A., Driver, S. E., & Mello, C. C. (1998) · Nature · doi:10.1038/35888 · Cited by 15,429
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
Hannon, G. J. (2002) · Nature · doi:10.1038/418244a · Cited by 3,538
An RNA-directed nuclease mediates post-transcriptional gene silencing in Drosophila cells
Hammond, S. M., Bernstein, E., Beach, D., & Hannon, G. J. (2000) · Nature · doi:10.1038/35005107 · Cited by 3,003
Zamore, P. D., Tuschl, T., Sharp, P. A., & Bartel, D. P. (2000) · Cell · doi:10.1016/s0092-8674(00)80620-0 · Cited by 2,676
Huotari, J., & Helenius, A. (2011) · The EMBO Journal · doi:10.1038/emboj.2011.286 · Cited by 2,265
Control of coleopteran insect pests through RNA interference
Baum, J. A., Bogaert, T., Clinton, W., Heck, G. R., Feldmann, P., Ilagan, O., Johnson, S., Plaetinck, G., Munyikwa, T., Pleau, M., et al. (2007) · Nature Biotechnology · doi:10.1038/nbt1359 · Cited by 1,789
The Bradford Method for Protein Quantitation
Kruger, N. J. (2003) · Basic Protein and Peptide Protocols · doi:10.1385/0-89603-268-x:9 · Cited by 1,264
RNAi therapeutics: a potential new class of pharmaceutical drugs
Bumcrot, D., Manoharan, M., Koteliansky, V., & Sah, D. W. Y. (2006) · Nature Chemical Biology · doi:10.1038/nchembio839 · Cited by 1,085
Cited by
Mechanisms, Applications, and Challenges of Insect RNA Interference
Zhu, K. Y., & Palli, S. R. (2020) · Annual Review of Entomology · doi:10.1146/annurev-ento-011019-025224 · Cited by 709
Self-citationJoga, M. R., Zotti, M. J., Smagghe, G., & Christiaens, O. (2016) · Frontiers in Physiology · doi:10.3389/fphys.2016.00553 · Cited by 521
Next-generation insect-resistant plants: RNAi-mediated crop protection
Zhang, J., Khan, S. A., Heckel, D. G., & Bock, R. (2017) · Trends in Biotechnology · doi:10.1016/j.tibtech.2017.04.009 · Cited by 348
Double-Stranded RNA Technology to Control Insect Pests: Current Status and Challenges
Christiaens, O., Whyard, S., Vélez, A. M., & Smagghe, G. (2020) · Frontiers in Plant Science · doi:10.3389/fpls.2020.00451 · Cited by 339
Metadata
- Authors
- Shukla, J. N., Kalsi, M., Sethi, A., Narva, K. E., Fishilevich, E., Singh, S., Mogilicherla, K., & Palli, S. R.
- Venue
- RNA Biology
- Publisher
- Informa UK Limited
- Published
- 2016-07-01
- Volume
- 13
- Issue
- 7
- Pages
- 656-669
- ISSN
- 1547-6286 (ISSN-L)
- 1555-8584
- OpenAlex
- W2411345191
- Cited by
- 309
- References
- 52
- FWCI
- 10.38
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Reduced stability and intracellular transport of dsRNA contribute to poor RNAi response in lepidopteran insects. https://app.cochat.ai/papers/10.1080/15476286.2016.1191728
- The paper
- Shukla, J. N., Kalsi, M., Sethi, A., Narva, K. E., Fishilevich, E., Singh, S., Mogilicherla, K., & Palli, S. R. (2016). Reduced stability and intracellular transport of dsRNA contribute to poor RNAi response in lepidopteran insects. RNA Biology. https://doi.org/10.1080/15476286.2016.1191728
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.
