Please use this identifier to cite or link to this item: doi:10.22028/D291-33739
Title: CoolMPS: evaluation of antibody labeling based massively parallel non-coding RNA sequencing
Author(s): 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
Language: English
Title: Nucleic Acids Research
Volume: 49 (2021)
Issue: 2
Publisher/Platform: Oxford University Press
Year of Publication: 2020
DDC notations: 610 Medicine and health
Publikation type: Journal Article
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 of the first publication: 10.1093/nar/gkaa1122
Link to this record: 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
Date of registration: 7-Apr-2021
Description of the related object: Supplementary data
Related object: 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
Faculty: M - Medizinische Fakultät
Department: M - Humangenetik
M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
Professorship: M - Prof. Dr. Eckhart Meese
M - Keiner Professur zugeordnet
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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