RNA Services
          
        
      
  
  
  
  
  
      
  Discovery offers RNA discovery and profiling services through 
    next-generation sequencing and microarray analysis. Upon arrival to 
    Discovery, all total RNA samples are evaluated for 
    concentration by Qubit® or Ribogreen® and for integrity by 2100 
    Bioanalyzer or Caliper GX. Before submitting samples, please review 
    the Discovery sample submission requirements.
  
  RNA sequencing
  Choosing the correct RNA sequencing service for your samples is 
  dependent on the organism, total RNA available for input, and 
  project goals. For questions regarding experimental design or RNA 
  service options please contact us. If you plan to build a 
  transcriptome, please discuss your project with us before submission as 
  there are special considerations for such a project. We currently offer:
  
  
    - 
      Poly A RNA-seq: Standard Poly A RNA-seq libraries are prepared 
      for samples that require information from the expressed (transcribed) 
      RNA population. Poly dT bead selection is employed to specifically 
      target mRNA sequences, which limits sequencing data to Poly A 
      transcripts.  The directional module may be used with this protocol 
      (see below). 
    
 
       
       - 
       Ribosomal Reduction RNA-seq: The rRNA reduction process removes 
       tructural RNA from the total RNA population present in the sample.  
       rRNA reduction is employed to remove rRNA, which will allow sequencing 
       of the remaining RNA population.  The directional module may be used 
       with this protocol (see below). 
       
 
    
    - 
      Directional RNA-seq Directional sequencing requires the use of 
      Actinomycin D to inhibit DNA-dependent DNA synthesis so only RNA is 
      transcribed during first-strand synthesis.  Additionally, dUTP is 
      substituted for dTTP in second strand synthesis to allow only the 
      first strand to be sequenced in the final library.  This results in 
      stranded RNA-seq libraries, allowing assignment of a read to a 
      particular strand of DNA. The analysis of data from stranded or 
      directional libraries is straightforward and more precise than 
      non-directional libraries. All new projects are encouraged to add 
      the directional module to their RNA-seq studies as the cost is minimal 
      but the advantage is significant. 
    
 
    
     
    - 
       Low input RNA-seq services: Discovery uses the 
       Ovation RNA-Seq System V2 kit (Nugen) for initial RNA amplification 
       which provides a fast and simple method for preparing amplified cDNA 
       from total RNA for RNA-Seq applications.  Our low input RNA-seq 
       service requires 1ng-10ng of total RNA with a RIN score of 7.0 or 
       higher. It allows amplification of both mRNA and non-polyadenylated 
       transcripts. After purification, the cDNA is fragmented to the 
       appropriate size and further library prep steps are followed to 
       prepare sequencing library. There is no directional module available 
       for this RNA-seq service.
    
 
     
     - miRNA-seq library services: Our miRNA library prep service 
      requires 100-500 ng total RNA in 6ul volume with a RIN score of 7.0 
      or higher. We use NEBNext ®Multiplex Small RNA Library Prep Set for 
      Illumina® (NEB) coupled with automated agarose gel size selection 
      using the Pipin Prep Instrument (Sage Science) for the miRNA library 
      prep. This allows us to prepare individually barcoded miRNA libraries 
      with precisely size selected fragments free of adapter-dimers. There is 
      no directional module available for this RNA-seq service.
    
 
    
  
  
Sequencing Considerations
  Poly A, ribosomal reduction, and low input RNA-seq are all usually 
    sequenced paired end, with standard read length of 50, 100, or 125bp. 
    Other sequencing conditions are available, but may require the purchase 
    of an entire Rapid Run or NextSeq run. In terms of coverage, for a 
    mammalian-sized genome, 25 million paired-end reads are usually 
    acceptable for reasonable coverage for poly A RNA-seq. Since ribosomal 
    reduction and low input RNA-seq include both mRNA and non-coding RNA, 
    more coverage is required to achieve a reasonable view of the 
    transcriptome. Discovery recommends at least 50 million paired-end reads 
    for these RNA-seq protocols. Small RNA-seq (microRNA-seq) is sequenced 
    at 50 bp read length (single end) to a depth of 15 million reads. 
  
The ‘fragment size’ of a library refers to the portion of a library that is 
located between the adapters and is sequenced. The poly A and ribosomal 
reduction protocols include a fragmentation step using heat and chemicals, 
which produces an insert size of approximately 185 – 215 bp. This fragment 
size can easily be sequenced at 50bp, 75bp, 100bp, or 125 read lengths, 
with the paired-end option if the analysis is amenable to some overlapping 
reads. Low input or amplified RNA-seq samples are sonicated after 
amplification to produce a fragment size of up to 400 bp. These libraries 
would support up to a 125bp, paired-end sequencing run with little overlap 
of reads. Fragment sizes for a library or set of libraries can be found in 
two ways: 1. looking at the bioanalysis profile of the final libraries 
under Results/Quality Analysis or 2. for a concise list, view the kapa 
qPCR worksheet, which shows the average fragment size for all samples on 
the first tab. The adapter length (combined) for Discovery-prepared libraries 
is 119bp.
  
Libraries for a particular order may use all or part of a lane, with the acknowledgment that filling the remainder of a lane may require extra time in the sequencing queue. Current next-generation sequencing platforms for RNA-seq are:
    
      NovaSeq 6000, NextSeq, and MiSeq by Illumina
    
  
  
  Microarray Services
  Microarray experiments aim to characterize the expression of known mRNA starting with total RNA.
  Current Discovery Microarray Offerings:
  
BeadArray by Illumina
  GeneChip PrimeView from Affymetrix