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Titel: CoolMPS: evaluation of antibody labeling based massively parallel non-coding RNA sequencing
VerfasserIn: Li, Yongping
Fehlmann, Tobias
Borcherding, Adam
Drmanac, Snezana
Liu, Sophie
Groeger, Laura
Xu, Chongjun
Callow, Matthew
Villarosa, Christian
Jorjorian, Alexander
Kern, Fabian
Grammes, Nadja
Meese, Eckart
Jiang, Hui
Drmanac, Radoje
Ludwig, Nicole
Keller, Andreas
Sprache: Englisch
Titel: Nucleic Acids Research
Bandnummer: 49 (2021)
Heft: 2
Verlag/Plattform: Oxford University Press
Erscheinungsjahr: 2020
DDC-Sachgruppe: 610 Medizin, Gesundheit
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: Results of massive parallel sequencing-by-synthesis vary depending on the sequencing approach. CoolMPS™ is a new sequencing chemistry that incorporates bases by labeled antibodies. To evaluate the performance, we sequenced 240 human non-coding RNA samples (dementia patients and controls) with and without CoolMPS. The Q30 value as indicator of the per base sequencing quality increased from 91.8 to 94%. The higher quality was reached across the whole read length. Likewise, the percentage of reads mapping to the human genome increased from 84.9 to 86.2%. For both technologies, we computed similar distributions between different RNA classes (miRNA, piRNA, tRNA, snoRNA and yRNA) and within the classes. While standard sequencing-by-synthesis allowed to recover more annotated miRNAs, CoolMPS yielded more novel miRNAs. The correlation between the two methods was 0.97. Evaluating the diagnostic performance, we observed lower minimal P-values for CoolMPS (adjusted P-value of 0.0006 versus 0.0004) and larger effect sizes (Cohen's d of 0.878 versus 0.9). Validating 19 miRNAs resulted in a correlation of 0.852 between CoolMPS and reverse transcriptase-quantitative polymerase chain reaction. Comparison to data generated with Illumina technology confirmed a known shift in the overall RNA composition. With CoolMPS we evaluated a novel sequencing-by-synthesis technology showing high performance for the analysis of non-coding RNAs.
DOI der Erstveröffentlichung: 10.1093/nar/gkaa1122
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-337394
hdl:20.500.11880/31077
http://dx.doi.org/10.22028/D291-33739
ISSN: 1362-4962
0305-1048
Datum des Eintrags: 7-Apr-2021
Bezeichnung des in Beziehung stehenden Objekts: Supplementary data
In Beziehung stehendes Objekt: https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/nar/49/2/10.1093_nar_gkaa1122/1/gkaa1122_supplemental_files.zip?Expires=1620818791&Signature=QE7hKWFsQYUzjEYYw0a2sM-s0Wglab3txXijtdlWXziPbN5tzzAUCxAskIW01SJzu1GnYqTnaVbECkSebm1mCi4Oqu934av3wgeNITixA9CRpbR77VdNJ1HIp9lbT77DqewK8NrgwjvgF66qJOQehkEcbhSz5v4KefPPLS2-Lls9-W0C7WamcMnC1xIxZ~oGPH-ApXM008mOElCIyrilNHns35606OsFzEFj18gtVAjtbNZAQhC6JHDIewBJINQPy2mRjYVNP0PFVTp-GkAVvOUwOnJHpWIrxXW9hRTl-O-a3GCQnfsBOwV89kVCHOPtjYdPUu2fBdEVVv5PZH093Q__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA
Fakultät: M - Medizinische Fakultät
Fachrichtung: M - Humangenetik
M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
Professur: M - Prof. Dr. Eckhart Meese
M - Keiner Professur zugeordnet
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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