FB2026_01 , released March 12, 2026
FB2026_01 , released March 12, 2026
Reference Report
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Citation
Afik, S., Bartok, O., Artyomov, M.N., Shishkin, A.A., Kadri, S., Hanan, M., Zhu, X., Garber, M., Kadener, S. (2017). Defining the 5΄ and 3΄ landscape of the Drosophila transcriptome with Exo-seq and RNaseH-seq.  Nucleic Acids Res. 45(11): e95.
FlyBase ID
FBrf0236608
Publication Type
Research paper
Abstract
Cells regulate biological responses in part through changes in transcription start sites (TSS) or cleavage and polyadenylation sites (PAS). To fully understand gene regulatory networks, it is therefore critical to accurately annotate cell type-specific TSS and PAS. Here we present a simple and straightforward approach for genome-wide annotation of 5΄- and 3΄-RNA ends. Our approach reliably discerns bona fide PAS from false PAS that arise due to internal poly(A) tracts, a common problem with current PAS annotation methods. We applied our methodology to study the impact of temperature on the Drosophila melanogaster head transcriptome. We found hundreds of previously unidentified TSS and PAS which revealed two interesting phenomena: first, genes with multiple PASs tend to harbor a motif near the most proximal PAS, which likely represents a new cleavage and polyadenylation signal. Second, motif analysis of promoters of genes affected by temperature suggested that boundary element association factor of 32 kDa (BEAF-32) and DREF mediates a transcriptional program at warm temperatures, a result we validated in a fly line where beaf-32 is downregulated. These results demonstrate the utility of a high-throughput platform for complete experimental and computational analysis of mRNA-ends to improve gene annotation.
PubMed ID
PubMed Central ID
PMC5499799 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Nucleic Acids Res.
    Title
    Nucleic Acids Research
    Publication Year
    1974-
    ISBN/ISSN
    0305-1048
    Data From Reference
    Alleles (2)
    Genes (3)
    Datasets (1)
    Sequence Features (7824)
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    Transgenic Constructs (1)