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RNA Next-Generation Sequencing and a Bioinformatics Pipeline to Identify Expressed LINE-1s at the Locus-Specific Level

JoVE Journal
Genetics

This content is Free Access.

JoVE Journal Genetics

RNA Next-Generation Sequencing and a Bioinformatics Pipeline to Identify Expressed LINE-1s at the Locus-Specific Level

RNA Next-Generation Sequencing and a Bioinformatics Pipeline to Identify Expressed LINE-1s at the Locus-Specific Level

DOI:

10.3791/59771-v

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11:04 min

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May 19, 2019

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Tiffany Kaul, Maria E. Morales, Emily Smither, Melody Baddoo², Victoria P. Belancio³, Prescott Deininger⁴

¹Tulane Cancer Center,Tulane University, ²Department of Pathology,Tulane University, ³Department of Structural and Cellular Biology,Tulane University, ⁴Department of Epidemiology,Tulane University

Chapters

00:04Title
00:52Read Alignment Pipeline to Identify Expressed L1s
02:48Manual Curation
07:48Assess Mappability of Each L1 Loci to Factor in a Transcription Level Correction Score
08:42Results: Identification of Full-length L1 Retroelements in the Human Prostate Tumor Cell Line, DU145
10:01Conclusion

Summary

Automatic Translation

Here, we present a bioinformatic approach and analyses to identify LINE-1 expression at the locus specific level.

Tags

Keywords: RNA-sequencing Next-generation Sequencing Bioinformatics Pipeline LINE-1 Mobile Elements Genetic Instability L1 Transcripts Cytoplasmic RNA Polyadenylated Transcripts Alignment Strategy Strand Separation Read Counts L1 Loci

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