LNCipedia 5: towards a reference set of human long non-coding RNAs
Open accessAbstract
While long non-coding RNA (lncRNA) research in the past has primarily focused on the discovery of novel genes, today it has shifted towards functional annotation of this large class of genes. With thousands of lncRNA studies published every year, the current challenge lies in keeping track of which lncRNAs are functionally described. This is further complicated by the fact that lncRNA nomenclature is not straightforward and lncRNA annotation is scattered across different resources with their own quality metrics and definition of a lncRNA. To overcome this issue, large scale curation and annotation is needed. Here, we present the fifth release of the human lncRNA database LNCipedia (https://lncipedia.org). The most notable improvements include manual literature curation of 2482 lncRNA articles and the use of official gene symbols when available. In addition, an improved filtering pipeline results in a higher quality reference lncRNA gene set.
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
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The lncRNA class gene LOC100506023 originally associated by proximity with CpG cg11091478 was subsequently annotated as lnc-TNFSF4-3.
“The lncRNA class gene LOC100506023 originally associated by proximity with CpG cg11091478 was subsequently annotated as lnc-TNFSF4-3 (Volders et al., 2019).”
From Epigenome-wide DNA methylation in unipolar depression: predictive biomarker of antidepressant treatment response? (2024) · cites this paper as Volders et al., 2019
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration
Thorvaldsdottir, H., Robinson, J. T., & Mesirov, J. P. (2013) · Briefings in Bioinformatics · doi:10.1093/bib/bbs017 · Cited by 9,049 · see citing works
O'Leary, N. A., Wright, M. W., Brister, J. R., Ciufo, S., Haddad, D., McVeigh, R., Rajput, B., Robbertse, B., Smith-White, B., Ako-Adjei, D., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1189 · Cited by 6,357 · see citing works
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 · see citing works
Derrien, T., Johnson, R., Bussotti, G., Andrea 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 5,017 · see citing works
GENCODE: The reference human genome annotation for The ENCODE Project
Harrow, J., Frankish, A., Gonzalez, J. M., Tapanari, E., Diekhans, M., Kokocinski, F., Aken, B. L., Barrell, D., Zadissa, A., Searle, S., et al. (2012) · Genome Research · doi:10.1101/gr.135350.111 · Cited by 4,585 · see citing works
The landscape of long noncoding RNAs in the human transcriptome
Iyer, M. K., Niknafs, Y. S., Malik, R., Singhal, U., Sahu, A., Hosono, Y., Barrette, T. R., Prensner, J. R., Evans, J. R., Zhao, S., et al. (2015) · Nature Genetics · doi:10.1038/ng.3192 · Cited by 2,738 · see citing works
The emerging role of lncRNAs in cancer
Huarte, M. (2015) · Nature Medicine · doi:10.1038/nm.3981 · Cited by 2,686 · see citing works
Zerbino, D. R., Achuthan, P., Akanni, W., Amode, M. R., Barrell, D., Bhai, J., Billis, K., Cummins, C., Gall, A., Girón, C. G., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1098 · Cited by 2,605 · see citing works
An atlas of human long non-coding RNAs with accurate 5′ ends
Hon, C.-C., Ramilowski, J. A., Harshbarger, J., Bertin, N., Rackham, O. J. L., Gough, J., Denisenko, E., Schmeier, S., Poulsen, T. M., Severin, J., et al. (2017) · Nature · doi:10.1038/nature21374 · Cited by 1,007 · see citing works
LncRNADisease: a database for long-non-coding RNA-associated diseases
Chen, G., Wang, Z., Wang, D., Qiu, C., Liu, M., Chen, X., Zhang, Q., Yan, G., & Cui, Q. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1099 · Cited by 983 · see citing works
The multidimensional mechanisms of long noncoding RNA function
Marchese, F. P., Raimondi, I., & Huarte, M. (2017) · Genome biology · doi:10.1186/s13059-017-1348-2 · Cited by 966 · see citing works
The Sequence Ontology: a tool for the unification of genome annotations
Eilbeck, K., Lewis, S. E., Mungall, C. J., Yandell, M., Stein, L., Durbin, R., & Ashburner, M. (2005) · Genome Biology · doi:10.1186/gb-2005-6-5-r44 · Cited by 806 · see citing works
Towards a complete map of the human long non-coding RNA transcriptome
Uszczyńska-Ratajczak, B., Lagarde, J., Frankish, A., Guigó, R., & Johnson, R. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0017-y · Cited by 611 · see citing works
NONCODEV5: a comprehensive annotation database for long non-coding RNAs
Fang, S., Zhang, L., Guo, J., Niu, Y., Wu, Y., Li, H., Zhao, L., Li, X., Teng, X., Sun, X., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx1107 · Cited by 548 · see citing works
LNCipedia: a database for annotated human lncRNA transcript sequences and structures
Volders, P., Helsens, K., Wang, X., Menten, B., Martens, L., Gevaert, K., Vandesompele, J., & Mestdagh, P. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks915 · Cited by 524 · see citing works
Self-citationRaney, B. J., Dreszer, T. R., Barber, G. P., Clawson, H., Fujita, P. A., Wang, T., Nguyen, N., Paten, B., Zweig, A., Karolchik, D., et al. (2013) · Bioinform. · doi:10.1093/bioinformatics/btt637 · Cited by 422 · see citing works
Ning, S., Zhang, J., Wang, P., Zhi, H., Wang, J., Liu, Y., Gao, Y., Guo, M., Yue, M., Wang, L., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1094 · Cited by 366 · see citing works
An update on LNCipedia: a database for annotated human lncRNA sequences
Volders, P., Verheggen, K., Menschaert, G., Vandepoele, K., Martens, L., Vandesompele, J., & Mestdagh, P. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku1060 · Cited by 355 · see citing works
Self-citationGenenames.org: the HGNC and VGNC resources in 2017
Yates, B., Braschi, B., Gray, K. A., Seal, R. L., Tweedie, S., & Bruford, E. A. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw1033 · Cited by 328 · see citing works
High-throughput annotation of full-length long noncoding RNAs with capture long-read sequencing
Lagarde, J., Uszczyńska-Ratajczak, B., Carbonell, S., Pérez-Lluch, S., Abad, A., Davis, C., Gingeras, T., Frankish, A., Harrow, J., Guigó, R., et al. (2017) · Nature Genetics · doi:10.1038/ng.3988 · Cited by 265 · see citing works
RNAcentral: a comprehensive database of non-coding RNA sequences
Petrov, A. I., Kay, S., Kalvari, I., Howe, K., Gray, K. A., Bruford, E. A., Kersey, P. J., Cochrane, G., Finn, R. D., Bateman, A. G., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw1008 · Cited by 258 · see citing works
Self-citationPLncDB: plant long non-coding RNA database
Jin, J., Liu, J., Wang, H., Wong, L., & Chua, N. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt107 · Cited by 189 · see citing works
MNDR v2.0: an updated resource of ncRNA–disease associations in mammals
Cui, T., Zhang, L., Huang, Y., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx1025 · Cited by 154 · see citing works
Database Resources of the BIG Data Center in 2018
Xu, X., Hao, L., Zhu, J., Tang, B., Zhou, Q., Song, F., Chen, T., Zhang, S., Dong, L., Li, L., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx897 · Cited by 146 · see citing works
LncMAP: Pan-cancer atlas of long noncoding RNA-mediated transcriptional network perturbations
Li, Y., Li, X., Wang, Z., Pan, T., Sahni, N., Jin, X., Wang, G., Li, J., Zheng, X., Zhang, Y., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx1311 · Cited by 141 · see citing works
LncRNAWiki: harnessing community knowledge in collaborative curation of human long non-coding RNAs
Ma, L., Li, A., Zou, D., Xu, X., Xia, L., Yu, J. M., Bajić, V. B., & Zhang, Z. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku1167 · Cited by 124 · see citing works
ALDB: A Domestic-Animal Long Noncoding RNA Database
Li, A., Zhang, J., Zhou, Z., Wang, L., Liu, Y., & Liu, Y. (2015) · PLoS ONE · doi:10.1371/journal.pone.0124003 · Cited by 90 · see citing works
The State of Long Non-Coding RNA Biology
Mattick, J. S. (2018) · Non-Coding RNA · doi:10.3390/ncrna4030017 · Cited by 89 · see citing works
Loose ends: almost one in five human genes still have unresolved coding status
Abascal, F., Juan, D., Jungreis, I., Gómez, L. M., Rigau, M., Rodrı́guez, J. M., Vázquez, J., & Tress, M. L. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky587 · Cited by 63 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [27]Uszczynska-Ratajczak B., Lagarde J., Frankish A., Guigó R., Johnson R. Towards a complete map of the human long non-coding RNA transcriptome. Nat. Rev. Genet. 2018; 19: 535– 548. 29795125 PMC6451964
Cited by
Sorted by citations
The lncRNA Toolkit: Databases and In Silico Tools for lncRNA Analysis
Pinkney, H. R., Wright, B. M., & Diermeier, S. D. (2020) · Non-Coding RNA · doi:10.3390/ncrna6040049 · Cited by 56 · see citing works
Scalable and deep profiling of mRNA targets for individual microRNAs with chimeric eCLIP
Manakov, S. A., Shishkin, A. A., Yee, B. A., Shen, K. A., Cox, D. C., Park, S. S., Foster, H. M., Chapman, K. B., Yeo, G. W., & Van Nostrand, E. L. (2022) · doi:10.1101/2022.02.13.480296 · Cited by 43 · see citing works
Schiele, M. A., Crespo Salvador, O., Lipovsek, J., Schwarte, K., Schlosser, P., Zwanzger, P., Arolt, V., Baune, B. T., Köttgen, A., & Domschke, K. (2024) · International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyae045 · Cited by 13 · see citing works
- Authors
- Volders, P.-J., Anckaert, J., Verheggen, K., Nuytens, J., Martens, L., Mestdagh, P., & Vandesompele, J.
- Affiliations
- Ghent University (BE)
- Corresponding author
- Volders, Pieter-Jan
- ORCID
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-10-29
- Volume
- 47
- Issue
- D1
- Pages
- D135-D139
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC6323963
- OpenAlex
- W2899028887
- Cited by
- 547
- References
- 29
- Citations by year
- 2026: 30 · 2025: 43 · 2024: 61 · 2023: 95 · 2022: 101 · 2021: 97 · 2020: 85 · 2019: 34 · 2018: 1
- FWCI
- 17.76
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nucleic Acids Research (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion, cc-by)
- Funders
- Ghent University
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Keywords
- long non-coding RNA, lncRNA database, lncRNA annotation, functional annotation, literature curation, gene symbols
- MeSH terms
- Humans, Computational Biology, Genomics, Databases, Nucleic Acid, Molecular Sequence Annotation, RNA, Long Noncoding, Web Browser
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