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Charles E. Vejnar
Researcher at Yale University
Publications - 40
Citations - 4182
Charles E. Vejnar is an academic researcher from Yale University. The author has contributed to research in topics: Zebrafish & Gene. The author has an hindex of 21, co-authored 33 publications receiving 3295 citations. Previous affiliations of Charles E. Vejnar include Swiss Institute of Bioinformatics & University of Geneva.
Papers
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Journal ArticleDOI
CRISPRscan: designing highly efficient sgRNAs for CRISPR-Cas9 targeting in vivo
Miguel A. Moreno-Mateos,Charles E. Vejnar,Jean-Denis Beaudoin,Juan P. Fernandez,Emily K Mis,Mustafa K. Khokha,Antonio J. Giraldez +6 more
TL;DR: It is shown that targeting Cas9 to the germ line using a Cas9-nanos 3′ UTR led to the generation of maternal-zygotic mutants, as well as increased viability and decreased somatic mutations.
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Identification of small ORFs in vertebrates using ribosome footprinting and evolutionary conservation
Ariel A. Bazzini,Timothy G. Johnstone,Romain Christiano,Sebastian D. Mackowiak,Benedikt Obermayer,Elizabeth S. Fleming,Charles E. Vejnar,Miler T. Lee,Nikolaus Rajewsky,Tobias C. Walther,Antonio J. Giraldez +10 more
TL;DR: These results identify micropeptide‐encoding genes in vertebrates, providing an entry point to define their function in vivo, and suggest functional peptide products (micropeptides).
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Integration of microRNA miR-122 in hepatic circadian gene expression.
David Gatfield,Gwendal Le Martelot,Charles E. Vejnar,Daniel Gerlach,Olivier Schaad,Fabienne Fleury-Olela,Anna-Liisa Ruskeepää,Matej Orešič,Christine Esau,Evgeny M. Zdobnov,Ueli Schibler +10 more
TL;DR: It is shown that rhythmic transcription extends to the locus specifying miR-122, a highly abundant, hepatocyte-specific microRNA, and the identification of Pparbeta/delta and the peroxisome proliferator-activated receptor alpha (PPARalpha) coactivator Smarcd1/Baf60a as novel miR,122 targets suggests an involvement of the circadian metabolic regulators of the PPAR family in miR -122-mediated metabolic control.
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miRmap: Comprehensive prediction of microRNA target repression strength
TL;DR: An open-source software library, miRmap, which for the first time comprehensively covers all four approaches using 11 predictor features, 3 of which are novel, and concludes that target site accessibility appears to be the most predictive feature.
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Codon identity regulates mRNA stability and translation efficiency during the maternal‐to‐zygotic transition
Ariel A. Bazzini,Ariel A. Bazzini,Florencia del Viso,Miguel A. Moreno-Mateos,Timothy G. Johnstone,Charles E. Vejnar,Yidan Qin,Jun Yao,Mustafa K. Khokha,Antonio J. Giraldez +9 more
TL;DR: It is shown that the codon triplet contains translation‐dependent regulatory information that influences transcript decay, and shapes maternal mRNA clearance during the maternal‐to‐zygotic transition in zebrafish, Xenopus, mouse, and Drosophila, and gene expression during homeostasis across human tissues.