The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.
Long Noncoding RNAs in Cardiovascular Pathology, Diagnosis, and Therapy
Abstract
Vast parts of mammalian genomes encode for transcripts that are not further translated into proteins. The purpose of the majority of such noncoding ribonucleic acids (RNAs) remained paradoxical for a long time. However, a growing body of evidence demonstrates that long noncoding RNAs are dynamically expressed in different cell types, diseases, or developmental stages to execute a wide variety of regulatory roles at virtually every step of gene expression and translation. Indeed, long noncoding RNAs influence gene expression via epigenetic modulations, through regulating alternative splicing, or by acting as molecular sponges. The abundance of long noncoding RNAs in the cardiovascular system indicates that they may be part of a complex regulatory network governing physiology and pathology of the heart. In this review, we discuss the multifaceted functions of long noncoding RNAs and highlight the current literature with an emphasis on cardiac development and disease. Furthermore, as the enormous spectrum of long noncoding RNAs potentially opens up new avenues for diagnosis and prevention of heart failure, we ultimately evaluate the futuristic prospects of long noncoding RNAs as biomarkers, and therapeutic targets for the treatment of cardiovascular disorders, as well.
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
Yaşlı Kadınlarda Üreme Sağlığı
Kokanalı, D., & Engin Üstün, Y. (n.d.) · DergiPark (Istanbul University) · Cited by 170,090
Circular RNAs are a large class of animal RNAs with regulatory potency
Memczak, S., Jens, M., Elefsinioti, A., Torti, F., Krueger, J., Rybak, A., Maier, L., Mackowiak, S. D., Gregersen, L. H., Munschauer, M., et al. (2013) · Nature · doi:10.1038/nature11928 · Cited by 7,990
Natural RNA circles function as efficient microRNA sponges
Hansen, T. B., Jensen, T. I., Clausen, B. H., Bramsen, J. B., Finsen, B., Damgaard, C. K., & Kjems, J. (2013) · Nature · doi:10.1038/nature11993 · Cited by 7,985
Landscape of transcription in human cells
Djebali, S., Davis, C. A., Merkel, A., Dobin, A., Lassmann, T., Mortazavi, A., Tanzer, A., Lagarde, J., Lin, W., Schlesinger, F., et al. (2012) · Nature · doi:10.1038/nature11233 · Cited by 5,187
Derrien, T., Johnson, R., Bussotti, G., Tanzer, A., Djebali, S., Tilgner, H., Guernec, G., Martin, D., Merkel, A., Knowles, D. G., et al. (2012) · Genome Research · doi:10.1101/gr.132159.111 · Cited by 5,061
Molecular Mechanisms of Long Noncoding RNAs
Wang, K. C., & Chang, H. Y. (2011) · Molecular Cell · doi:10.1016/j.molcel.2011.08.018 · Cited by 4,396
Circular RNAs are abundant, conserved, and associated with ALU repeats
Jeck, W. R., Sorrentino, J. A., Wang, K., Slevin, M. K., Burd, C. E., Liu, J., Marzluff, W. F., & Sharpless, N. E. (2013) · RNA · doi:10.1261/rna.035667.112 · Cited by 4,388
Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals
Guttman, M., Amit, I., Garber, M., French, C., Lin, M. F., Feldser, D., Huarte, M., Zuk, O., Carey, B. W., Cassady, J. P., et al. (2009) · Nature · doi:10.1038/nature07672 · Cited by 4,098
Silencing 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
Identification of a specific telomere terminal transferase activity in tetrahymena extracts
Greider, C. W., & Blackburn, E. H. (1985) · Cell · doi:10.1016/0092-8674(85)90170-9 · Cited by 3,400
Cited by
Peng, T., Liu, M., Hu, L., Guo, D., Wang, D., Qi, B., Ren, G., Hu, C., Zhang, F., Chun, H. J., et al. (2022) · Biology Direct · doi:10.1186/s13062-022-00346-6 · Cited by 57
Metadata
- Authors
- Bär, C., Chatterjee, S., & Thum, T.
- Venue
- Circulation
- Published
- 2016-11-08
- Volume
- 134
- Issue
- 19
- Pages
- 1484-1499
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2549388125
- Cited by
- 267
- References
- 110
- FWCI
- 11.40
- 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: Long Noncoding RNAs in Cardiovascular Pathology, Diagnosis, and Therapy. https://app.cochat.ai/papers/10.1161/circulationaha.116.023686
- The paper
- Bär, C., Chatterjee, S., & Thum, T. (2016). Long Noncoding RNAs in Cardiovascular Pathology, Diagnosis, and Therapy. Circulation. https://doi.org/10.1161/circulationaha.116.023686
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.