The Quantify miRNA tool counts and annotates miRNAs using miRBase and performs expression analysis of the results. The tool will output two expression tables. The "Grouped on mature" table has a row for each mature miRNA. The same mature miRNA may be produced from different precursor miRNAs. The "Grouped on seed" table has a row for each seed sequence. The same seed sequence may be found in different mature miRNAs.
The tool will take:
- Trimmed reads (both UMI or normal)
- a miRBase database. Note: we do not support custom databases that include isoforms of small RNA, such as isopiRNA databases.
- and optionally Spike-ins: A list of sequences that have been spiked-in. Mapping against this set of sequences will be preformed before mapping of the reads against miRBase and other databases. The spike-ins are counted as exact matches and stored in the report for further analysis by the Combined miRNA Report tool.
To run the tool, go to:
Toolbox | RNA-Seq and Small RNA Analysis ()| miRNA Analysis () | Quantify miRNA ()
First select the trimmed reads as in figure 30.47.
If the sequencing was performed using Spike-ins controls, the option "Enable spike-ins" can be enabled in the Quality control dialog (figure 30.48), and a spike-ins file can be specified. You can also change the Low expression "Minimum supporting count", i.e., the minimum number of supporting reads for a small RNA to be considered expressed.
In the annotation dialog, several configurations are available.
In the miRBase annotations section, specify a single reference - miRBase in most cases.
miRBase can be downloaded using the Reference Data Manager under QIAGEN Sets | Reference Data Elements | mirBase (figure 30.49).
You can also import miRBase into the CLC Genomics Workbench using Standard Import. The miRBase data file can be downloaded from ftp://mirbase.org/pub/mirbase/CURRENT/miRNA.dat.gz. Select
MiRBase (.dat) in the Force import as type menu of the Standard Import dialog. Information about the miRBase dat format is provided in miRBase data file format.
Once miRBase has been selected, click the green plus sign to see the list of species available. It can take a while for all species to load. Species to be used for annotation should be selected using the left and right arrows, and prioritized using the up and down arrows, with the species sequenced always selected as top in the priority list (figure 30.50). The naming of the miRNA will depend on this prioritization.
In addition, it is possible to configure how specific the association between the isomiRs and the reads has to be by allowing mismatches and additional or missing bases upstream and downstream of the isomiR.
In the Custom databases, you can optionally add sequence lists with additional smallRNA reference databases e.g. piRNAs, tRNAs, rRNAs, mRNAs, lncRNAs. An output with quantification against the custom databases can be generated, which can be used for subsequent expression analyses.
Finally, configure the Alignment settings by defining how many "Maximum mismatches" are allowed between the reads and the references, i.e. miRBase and custom databases. The option "Strand specific" is checked by default, which means that only the plus strand of the reference will be searched.
In the next dialog (figure 30.51), specify the length of the reads used for seed counting. Reads of the specified length, corresponding to the length of mature miRNA (18-25 bp by default, but this parameter can be configured) are used for seed counting. The seed is a 7 nucleotide sequence from positions 2-8 on the mature miRNA. The "Grouped on seed" output table includes a row for every seed that is observed in miRBase together with the expression of the same seed in the sample. In addition, the 20 most highly expressed novel seeds are output in the report.
The tool will output expression tables: One is called "grouped on mature", with the miR of the mature product used as key. The other is "grouped on seed" and the sequence is used as key.
In addition, and depending on the options selected in the last dialog, the tool can output a report, a sequence list of reads that could not be mapped to any references and an expression table "grouped on custom databases" (if any was provided) that can be used for subsequent expression analysis tools such as Differential Expression, PCA for RNA-Seq and Create Heat-Map for RNA-Seq. These outputs are detailed in the next section.