Literature DB >> 29735571

Don't go in circles: confounding factors in gene expression profiling.

John Toubia1,2, Vanessa M Conn2,3, Simon J Conn2,3.   

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Year:  2018        PMID： 29735571      PMCID： PMC5983111          DOI： 10.15252/embj.201797945

Source DB:  PubMed          Journal:  EMBO J        ISSN： 0261-4189            Impact factor:   11.598


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2.  The RNA binding protein quaking regulates formation of circRNAs.

Authors:  Simon J Conn; Katherine A Pillman; John Toubia; Vanessa M Conn; Marika Salmanidis; Caroline A Phillips; Suraya Roslan; Andreas W Schreiber; Philip A Gregory; Gregory J Goodall
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7.  Exon Skipping Is Correlated with Exon Circularization.

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8.  Cell-type specific features of circular RNA expression.

Authors:  Julia Salzman; Raymond E Chen; Mari N Olsen; Peter L Wang; Patrick O Brown
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9.  Comparative analysis of RNA sequencing methods for degraded or low-input samples.

Authors:  Xian Adiconis; Diego Borges-Rivera; Rahul Satija; David S DeLuca; Michele A Busby; Aaron M Berlin; Andrey Sivachenko; Dawn Anne Thompson; Alec Wysoker; Timothy Fennell; Andreas Gnirke; Nathalie Pochet; Aviv Regev; Joshua Z Levin
Journal:  Nat Methods       Date:  2013-05-19       Impact factor: 28.547

10.  RNA-seq: impact of RNA degradation on transcript quantification.

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Journal:  Sci Rep       Date:  2021-06-04       Impact factor: 4.379

3.  SplintQuant: a method for accurately quantifying circular RNA transcript abundance without reverse transcription bias.

Authors:  Vanessa Conn; Simon J Conn
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4.  S100A4 mRNA-protein relationship uncovered by measurement noise reduction.

Authors:  Angelos-Theodoros Athanasiou; Thomas Nussbaumer; Stefan Kummer; Martin Hofer; Iain G Johnston; Moritz Staltner; Daniela M Allmer; Milcah C Scott; Claus Vogl; Joelle M Fenger; Jaime F Modiano; Ingrid Walter; Ralf Steinborn
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5.  In-Depth Analysis Reveals Production of Circular RNAs from Non-Coding Sequences.

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  5 in total

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