snoDB is a database of human snoRNA containing data from other established databases , results from the literature and experimental data generated by the scott lab research group.
All data in snoDB can be viewed and queried in an interactive table with links to every individual snoRNA entry for a more focused overview of specific snoRNA.
For a detailed explanation on how to use the database and its numerous features, please see the
Clicking on the logo will always bring you back to snoDB's main page.
The table shows an overview of the total available data.
When more data than can fit the screen is made to appear in the table, holding SHIFT while rolling the mouse wheel (with the cursor hovering over the table) allows for horizontal scrolling.
Clicking on the Show Column Options button unveils buttons that toggle the visibility of individual columns or of groups of columns:
Contains data on where snoRNA are located in the genome including Chromosomes, Start and End positions, and Strand.
Links to snoRNA entry in external databases from where data were gathered.
Conservation data were taken from snoRNA Atlas.
Othologues link to snoRNA entries in snOPY and/or Ensembl when available.
snoRNA host genes correspond to genes with intronic sequences overlapping that of a snoRNA.
This group toggles the following columns: host name synonyms, host biotypes, start and end positions, and strand.
The Host symbol and synonyms columns can be simultaneously queried using the appropriate search box at the bottom of the table.
Most targets listed in these columns are predictions which have yet to be experimentally validated.
Targets are listed by biotype and all the columns can be searched using the Target search engine that can be made to appear at the bottom of the table
Ribosomal RNA or rRNA targets are listed as follow:
"ribosome subunit(28S, 18S or 5.8S)"_"Base modified(A, U, C or G)""position modified in the ribosome".
snoRNA and Host Expression
These two buttons individually toggle cell lines or tissues in which gene profiling was performed using TGIRT-Seq.
Expression data is in transcripts per million (TPM).
Expression data can be visualized in heatmaps using snoTHAW.
Lone columns belong to none of the aforementioned groups.
These include snoRNA: symbols, synonyms, length, DNA sequence, RNA sequence, and ID.
The ID column exists only to give a unique identifier to each snoRNA entry.
A search box flanks the snoDB logo on the left at the top of the page. This search box accepts one or more snoRNA symbols.
At the bottom of the table, a Global Search box enables searching through all columns (Including non-visible columns).
It supports partial search terms
Clicking the button next to Global Search reveals additional search boxes that can query groups of columns including:
- snoRNA symbols and synonyms
- External IDs
- Host symbols and synonyms
These do not support partial search terms without using regular expressions
Searches are performed upon pressing ENTER. Clearing the search bar clears the query from the table.
These search boxes support multiple space separated terms.
This conveniently makes copy-pasting a column from a spreadsheet into an appropriate search box an efficient way of searching for multiple terms.
The table itself features search engines on certain columns like box types for example.
Individual snoRNA Pages
Clicking on a snoRNA symbol in the main Table leads to a page detailing all the information on that snoRNA entry contained in snoDB in a vertical tab format
The tabs are :
Features the snoRNAs name along with basic information like box type, synonym and RNA sequence along with genomic position and conservation data that link to external resources when available.
Many different identifiers are used to refer to a same snoRNA and so this section aims to provide an easy way for users to obtain information on a given snoRNA no matter what identifier it may have on different platforms. To this effect, links to various sources are provided when available.
Shows which targets, if any, a given snoRNA interacts with. Targets can be sorted by biotype, by enrichment in a certain tissue according to the Human Protein Atlas in the case of protein coding targets and by sources.
Links are provided where applicable and when available.
RNA-Seq Abundance Data
Displays transcriptomic data for the selected gene and its host in various cell lines and tissues. A brief overview of the pipeline used to acquire the expression data is avilable at the Experiment details page.
Tool to visualize expression data pulled from snoDB in interactive heatmaps. snoTHAW has its own help and about page located on the main page below the table.
Curated snoRNA Literature:
Sharma, S., Yang, J., van Nues, R., Watzinger, P., Kötter, P., Lafontaine, D., … Entian, K. D. (2017). Specialized box C/D snoRNPs act as antisense guides to target RNA base acetylation. PLoS genetics, 13(5), e1006804. doi:10.1371/journal.pgen.1006804
Falaleeva, M., Pages, A., Matuszek, Z., Hidmi, S., Agranat-Tamir, L., Korotkov, K., … Stamm, S. (2016). Dual function of C/D box small nucleolar RNAs in rRNA modification and alternative pre-mRNA splicing. Proceedings of the National Academy of Sciences of the United States of America.
Shivendra Kishore, Stefan Stamm, (2006) The snoRNA HBII-52 Regulates Alternative Splicing of the Serotonin Receptor 2C, Science.
Doe, C. M., Relkovic, D., Garfield, A. S., Dalley, J. W., Theobald, D. E., Humby, T., … Isles, A. R. (2009). Loss of the imprinted snoRNA mbii-52 leads to increased 5htr2c pre-RNA editing and altered 5HT2CR-mediated behaviour. Human molecular genetics.
Scott, M. S., Ono, M., Yamada, K., Endo, A., Barton, G. J., & Lamond, A. I. (2012). Human box C/D snoRNA processing conservation across multiple cell types. Nucleic acids research.
Sharma E, Sterne-Weiler T, O'Hanlon D, Blencowe BJ. (2016). Global Mapping of Human RNA-RNA Interactions, Molecular Cell.
Patterson, D. G., Roberts, J. T., King, V. M., Houserova, D., Barnhill, E. C., Crucello, A., … Borchert, G. M. (2017). Human snoRNA-93 is processed into a microRNA-like RNA that promotes breast cancer cell invasion. NPJ breast cancer.
Cui L, Nakano K, Obchoei S, Setoguchi K, Matsumoto M, Yamamoto T, Obika S, Shimada K, Hiraoka N. (2017). Small Nucleolar Noncoding RNA SNORA23, Up-Regulated in Human Pancreatic Ductal Adenocarcinoma, Regulates Expression of Spectrin Repeat-Containing Nuclear Envelope 2 to Promote Growth and Metastasis of Xenograft Tumors in Mice, Gastroenterology.
Zhong, F., Zhou, N., Wu, K., Guo, Y., Tan, W., Zhang, H., … Zhang, H. (2015). A SnoRNA-derived piRNA interacts with human interleukin-4 pre-mRNA and induces its decay in nuclear exosomes. Nucleic acids research.
- Deschamps-Francoeur, G., et al. (2014) Identification of discrete classes of small nucleolar RNA featuring different ends and RNA binding protein dependency, Nucleic Acids Res, 42, 10073-10085.
- Gumienny, R., et al. (2017) High-throughput identification of C/D box snoRNA targets with CLIP and RiboMeth-seq, Nucleic Acids Res, 45, 2341-2353.
- Kehr, S., et al. (2014) Matching of Soulmates: coevolution of snoRNAs and their targets, Molecular biology and evolution, 31, 455-467.
- Krogh, N., et al. (2016) Profiling of 2'-O-Me in human rRNA reveals a subset of fractionally modified positions and provides evidence for ribosome heterogeneity, Nucleic Acids Res, 44, 7884-7895.
Expression Data Related Articles:
- Boivin, Vincent et al. “Simultaneous sequencing of coding and noncoding RNA reveals a human transcriptome dominated by a small number of highly expressed noncoding genes.” RNA, (2018)
- Boivin, Vincent et al. Reducing the structure bias of RNA-Seq reveals a large number of non-annotated non-coding RNA, (under review).
- Deschamps-Francoeur, Gabrielle et al. CoCo: read assignment correction for embedded and multimapped genes, Bioinformatics, (2019).
Nottingham, R.M., Wu, D.C., Qin, Y., Yao, J., Hunicke-Smith, S. and Lambowitz, A.M. (2016) RNA-seq of human reference RNA samples using a thermostable group II intron reverse transcriptase. RNA.
- Lestrade, L. and Weber, M.J. (2006) snoRNA-LBME-db, a comprehensive database of human H/ACA and C/D box snoRNAs, Nucleic Acids Res, 34, D158-162.
- Yoshihama, M., Nakao, A., & Kenmochi, N. (2013). snOPY: a small nucleolar RNA orthological gene database. BMC
- Jorjani* H, Kehr* S, Jedlinski DJ, et al. (2016) An updated human snoRNAome.Nucleic Acids Research.
- Aken, B.L., et al. (2017) Ensembl 2017, Nucleic Acids Res, 45, D635-D642.
- The RNAcentral Consortium, (2018) RNAcentral: a hub of information for non-coding RNA sequences, Nucleic Acids Research.
- Pruitt, K. D., Tatusova, T., & Maglott, D. R. (2007). NCBI reference sequences (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins. Nucleic acids research
- Gong J, Shao D, Xu K, et al. RISE: a database of RNA interactome from sequencing experiments. Nucleic Acids Res. 2017.
- Nawrocki, E.P., et al. (2015)Rfam 13.0: shifting to a genome-centric resource for non-coding RNA families, Nucleic Acids Res, 43, D130-137.
- Yates, B., et al. (2017) Genenames.org: the HGNC and VGNC resources in 2017, Nucleic Acids Res, 45, D619-D625.
The snoDB project was first started by Darren Mathurin-St-Pierre.
The project was later taken over and put online by Philia with snoTHAW being developped by Clement Desjardins-Henri.
For inquiries or comments, contact Philia at: Philia(dot)Bouchard-Bourelle(at)Usherbrooke(dot)com
The principal investigator Michelle Scott and the project team can be also reached here Michelle(dot)Scott(at)USherbrooke(dot)ca