The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
An Improved Canine Genome and a Comprehensive Catalogue of Coding Genes and Non-Coding Transcripts
Open accessAbstract
The domestic dog, Canis familiaris, is a well-established model system for mapping trait and disease loci. While the original draft sequence was of good quality, gaps were abundant particularly in promoter regions of the genome, negatively impacting the annotation and study of candidate genes. Here, we present an improved genome build, canFam3.1, which includes 85 MB of novel sequence and now covers 99.8% of the euchromatic portion of the genome. We also present multiple RNA-Sequencing data sets from 10 different canine tissues to catalog ∼175,000 expressed loci. While about 90% of the coding genes previously annotated by EnsEMBL have measurable expression in at least one sample, the number of transcript isoforms detected by our data expands the EnsEMBL annotations by a factor of four. Syntenic comparison with the human genome revealed an additional ∼3,000 loci that are characterized as protein coding in human and were also expressed in the dog, suggesting that those were previously not annotated in the EnsEMBL canine gene set. In addition to ∼20,700 high-confidence protein coding loci, we found ∼4,600 antisense transcripts overlapping exons of protein coding genes, ∼7,200 intergenic multi-exon transcripts without coding potential, likely candidates for long intergenic non-coding RNAs (lincRNAs) and ∼11,000 transcripts were reported by two different library construction methods but did not fit any of the above categories. Of the lincRNAs, about 6,000 have no annotated orthologs in human or mouse. Functional analysis of two novel transcripts with shRNA in a mouse kidney cell line altered cell morphology and motility. All in all, we provide a much-improved annotation of the canine genome and suggest regulatory functions for several of the novel non-coding transcripts.
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
Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669
The Pfam Protein Families Database
Bateman, A. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.1.276 · Cited by 14,000
TopHat: discovering splice junctions with RNA-Seq
Trapnell, C., Pachter, L., & Salzberg, S. L. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp120 · Cited by 11,617
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
The Pfam protein families database
Punta, M., Coggill, P. C., Eberhardt, R. Y., Mistry, J., Tate, J., Boursnell, C., Pang, N., Forslund, K., Ceric, G., Clements, J., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr1065 · Cited by 3,719
Long Noncoding RNA as Modular Scaffold of Histone Modification Complexes
Tsai, M.-C., Manor, O., Wan, Y., Mosammaparast, N., Wang, J. K., Lan, F., Shi, Y., Segal, E., & Chang, H. Y. (2010) · Science · doi:10.1126/science.1192002 · Cited by 3,290 · cited 1×
“Likewise, transcribed and spliced, but non-protein-coding transcripts, termed lincRNAs, constitute a putative class of transcripts that have been linked to modulation of gene expression [31], imprinting [31–34,42], or protein scaffolding [37,43].”
BackgroundPrimer3Plus, an enhanced web interface to Primer3
Untergasser, A., Nijveen, H., Rao, X., Bisseling, T., Geurts, R., & Leunissen, J. A. M. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm306 · Cited by 2,779
Enhancements and modifications of primer design program Primer3
Koressaar, T., & Remm, M. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm091 · Cited by 2,603
Genome sequence, comparative analysis and haplotype structure of the domestic dog
members, B. S. P., Lindblad-Toh, K., Wade, C. M., Mikkelsen, T. S., Karlsson, E. K., Jaffe, D. B., Kamal, M., Clamp, M., Chang, J. L., Kulbokas, E. J., et al. (2005) · Nature · doi:10.1038/nature04338 · Cited by 2,568
Self-citationlincRNAs act in the circuitry controlling pluripotency and differentiation
Guttman, M., Donaghey, J., Carey, B. W., Garber, M., Grenier, J. K., Munson, G., Young, G., Lucas, A. B., Ach, R., Bruhn, L., et al. (2011) · Nature · doi:10.1038/nature10398 · Cited by 1,858
Self-citation
Cited by
The UCSC Genome Browser database: 2015 update
Rosenbloom, K. R., Armstrong, J., Barber, G. P., Casper, J., Clawson, H., Diekhans, M., Dreszer, T. R., Fujita, P. A., Guruvadoo, L., Haeussler, M., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gku1177 · Cited by 874
FEELnc: a tool for long non-coding RNA annotation and its application to the dog transcriptome
Wucher, V., Legeai, F., Hédan, B., Rizk, G., Lagoutte, L., Leeb, T., Jagannathan, V., Cadieu, E., David, A., Lohi, H., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkw1306 · Cited by 470
Self-citationGenetic mapping of canine fear and aggression
Zapata, I., Serpell, J. A., & Alvarez, C. E. (2016) · BMC Genomics · doi:10.1186/s12864-016-2936-3 · Cited by 168
Genetic testing of dogs predicts problem behaviors in clinical and nonclinical samples
Zapata, I., Lilly, M. L., Herron, M. E., Serpell, J. A., & Alvarez, C. E. (2022) · BMC Genomics · doi:10.1186/s12864-022-08351-9 · Cited by 40
Axelsson, E., Ljungvall, I., Bhoumik, P., Conn, L. B., Muren, E., Ohlsson, Å., Olsen, L. H., Engdahl, K., Hagman, R., Hanson, J., et al. (2021) · PLOS Genetics · doi:10.1371/journal.pgen.1009726 · Cited by 34
Self-citation
Metadata
- Authors
- Hoeppner, M. P., Lundquist, A., Pirun, M., Meadows, J. R. S., Zamani, N., Johnson, J., Sundström, G., Cook, A., FitzGerald, M. G., Swofford, R., Mauceli, E., Moghadam, B. T., Greka, A., Alföldi, J., Abouelleil, A., Aftuck, L., Bessette, D., Berlin, A., Brown, A., Gearin, G., Lui, A., Macdonald, J. P., Priest, M., Shea, T., Turner-Maier, J., Zimmer, A., Lander, E. S., di Palma, F., Lindblad-Toh, K., & Grabherr, M. G.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-03-13
- Volume
- 9
- Issue
- 3
- Pages
- e91172
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2000611393
- Cited by
- 272
- References
- 51
- FWCI
- 8.40
- Type
- journal article
- Language
- en
- Open access
- gold
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: An Improved Canine Genome and a Comprehensive Catalogue of Coding Genes and Non-Coding Transcripts. https://app.cochat.ai/papers/10.1371/journal.pone.0091172
- The paper
- Hoeppner, M. P., Lundquist, A., Pirun, M., Meadows, J. R. S., Zamani, N., Johnson, J., Sundström, G., Cook, A., FitzGerald, M. G., Swofford, R., Mauceli, E., Moghadam, B. T., Greka, A., Alföldi, J., Abouelleil, A., Aftuck, L., Bessette, D., Berlin, A., Brown, A., . . . Grabherr, M. G. (2014). An Improved Canine Genome and a Comprehensive Catalogue of Coding Genes and Non-Coding Transcripts. PLoS ONE. https://doi.org/10.1371/journal.pone.0091172
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.