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Nanopore sequencing unveils the complexity of the murine brown adipose tissue transcriptome

GSE296616 Mus musculus Expression profiling by high throughput sequencing 6 samples Submitted 2025/05/19 Platform GPL28599
Summary
Alternative splicing contributes to transcriptomic complexity and plays a role in the regulation of cellular identity and function, but the correct assembly of transcripts of complex loci as well as their quantification based on short-read sequencing is non-trivial. Recent long-read sequencing methods such as those from ONT and PacBio overcome these problems by potentially sequencing full transcripts. The activation of brown adipose tissue e.g., by reduced ambient temperature (cold) exposure, positively affects metabolism by increasing energy expenditure and releasing endocrine factors and has been shown to involve specific alternative splicing events. Here we assessed important features of ONT long read sequencing protocols in relation to Illumina short read sequencing: (i) Alignment characteristics to the reference genome and transcriptome, (ii) Gene and transcript detection and quantification, (iii) Detection of differential gene and transcript expression events, (iv) Transcriptome reannotation and (v) Detection of differential transcript usage events. We find that ONT long-read sequencing is advantageous in terms of transcriptome reassembly, especially when the reads are enriched for full length reads. Illumina sequencing, due to the higher number of counts available, has a higher statistical power for calling differentiall expressed/used features, whereas long-read sequencing has a lower risk of calling false positive events due to the better ability to unambiguously map reads to transcripts. Finally we describe novel transcript isoforms in cold-activated murine iBAT reassembled from ONT long reads.
Published in
Nanopore sequencing unveils the complexity of the cold-activated murine brown adipose tissue transcriptome
Engelhard CA, Khani S, Derdak S et al. · iScience 2023 · PMID 37564700 · doi:10.1016/j.isci.2023.107190
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Also filed as BioProject PRJNA1260242 and SRA study SRP583799. Searching any of these in the dataset finder brings you back here.

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