Author
Listed:
- Xi Wang
(Max Delbrück Center for Molecular Medicine
German Cancer Research Center)
- Xintian You
(Max Delbrück Center for Molecular Medicine
Max Planck Institute for Molecular Genetics)
- Julian D. Langer
(Max Planck Institute for Brain Research)
- Jingyi Hou
(Max Delbrück Center for Molecular Medicine)
- Fiona Rupprecht
(Max Planck Institute for Brain Research)
- Irena Vlatkovic
(Max Planck Institute for Brain Research)
- Claudia Quedenau
(Max Delbrück Center for Molecular Medicine)
- Georgi Tushev
(Max Planck Institute for Brain Research)
- Irina Epstein
(Max Planck Institute for Brain Research)
- Bernhard Schaefke
(Southern University of Science and Technology
Southern University of Science and Technology)
- Wei Sun
(Southern University of Science and Technology)
- Liang Fang
(Southern University of Science and Technology
Southern University of Science and Technology)
- Guipeng Li
(Southern University of Science and Technology
Southern University of Science and Technology)
- Yuhui Hu
(Southern University of Science and Technology)
- Erin M. Schuman
(Max Planck Institute for Brain Research)
- Wei Chen
(Southern University of Science and Technology
Southern University of Science and Technology)
Abstract
Gene annotation is a critical resource in genomics research. Many computational approaches have been developed to assemble transcriptomes based on high-throughput short-read sequencing, however, only with limited accuracy. Here, we combine next-generation and third-generation sequencing to reconstruct a full-length transcriptome in the rat hippocampus, which is further validated using independent 5´ and 3´-end profiling approaches. In total, we detect 28,268 full-length transcripts (FLTs), covering 6,380 RefSeq genes and 849 unannotated loci. Based on these FLTs, we discover co-occurring alternative RNA processing events. Integrating with polysome profiling and ribosome footprinting data, we predict isoform-specific translational status and reconstruct an open reading frame (ORF)-eome. Notably, a high proportion of the predicted ORFs are validated by mass spectrometry-based proteomics. Moreover, we identify isoforms with subcellular localization pattern in neurons. Collectively, our data advance our knowledge of RNA and protein isoform diversity in the rat brain and provide a rich resource for functional studies.
Suggested Citation
Xi Wang & Xintian You & Julian D. Langer & Jingyi Hou & Fiona Rupprecht & Irena Vlatkovic & Claudia Quedenau & Georgi Tushev & Irina Epstein & Bernhard Schaefke & Wei Sun & Liang Fang & Guipeng Li & Y, 2019.
"Full-length transcriptome reconstruction reveals a large diversity of RNA and protein isoforms in rat hippocampus,"
Nature Communications, Nature, vol. 10(1), pages 1-15, December.
Handle:
RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-13037-0
DOI: 10.1038/s41467-019-13037-0
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