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At least eight proteins, out of a total of thirty-eight deduced using the SAGE assigned transcript method and expressed at over 0.15%, were identified by proteome analysis.
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To annotate the potential domains inside the reconstructed sequences, the open reading frame (ORF) was predicted for each transcript (Methods), and then all transcripts with predicted ORF were used to search against the Pfam database based on profile hidden Markov model methods.
Specimens acquired from an independent clinical laboratory and previously characterized with independent singleplex LDTs for ABL1 and the major (b2a2/b3a2) or minor (e1a2) BCR–ABL1 fusion transcripts (method 2, n=82) were tested at Asuragen Inc. (Austin, TX, USA) on a 7500 Fast Dx Real-Time PCR System (Applied Biosystems).
The same six RNA samples used for RNA-Seq were prepared and hybridized to microarrays that have one probe designed to target each of the RefSeq transcripts (Methods).
We have previously reported this approach [ 17] with the difference that here we used bins of varying sizes for more accurate detection of different types of transcripts (Methods).
Further, for both microarrays and RNA-Seq, we used random primers for the first-strand cDNA synthesis, thus ensuring approximately uniform coverage along the transcripts (Methods).
But the transcript capture method has long been viewed as most likely to give a very incomplete picture of the human gene repertoire, because many transcripts are made rarely and in minute quantities by specialized cells.
DGE is a SAGE-based transcript profiling method.
Previously, a nascent transcript sequencing method was developed to globally analyze pre-mRNA in Saccharomyces cerevisiae [ 47].
On the same set of simulated reads, we also compared the core optimization of MITIE to the transcript calling method Butterfly, which is part of the Trinity pipeline.
Another transcript profiling method which has been used to interogate ES cell transcriptome and offers a marked improvement compared to those techniques is Gene Identification Signature (GIS) analysis [ 11].
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