@Article{Kahraman2017,
  author          = {Kahraman, Mustafa and Laufer, Thomas and Backes, Christina and Schrörs, Hannah and Fehlmann, Tobias and Ludwig, Nicole and Kohlhaas, Jochen and Meese, Eckart and Wehler, Thomas and Bals, Robert and Keller, Andreas},
  title           = {Technical Stability and Biological Variability in MicroRNAs from Dried Blood Spots: A Lung Cancer Therapy-Monitoring Showcase.},
  journal         = {Clinical chemistry},
  year            = {2017},
  volume          = {63},
  pages           = {1476--1488},
  month           = sep,
  issn            = {1530-8561},
  abstract        = {Different work flows have been proposed to use miRNAs as blood-borne biomarkers. In particular, the method used for collecting blood from patients can considerably influence the diagnostic results. We explored whether dried blood spots (DBSs) facilitate stable miRNA measurements and compared its technical stability with biological variability. First, we tested the stability of DBS samples by generating from 1 person 18 whole-genome-wide miRNA profiles of DBS samples that were exposed to different temperature and humidity conditions. Second, we investigated technical reproducibility by performing 7 replicates of DBS again from 1 person. Third, we investigated DBS samples from 53 patients with lung cancer undergoing different therapies. Across these 3 stages, 108 genome-wide miRNA profiles from DBS were generated and evaluated biostatistically. In the stability analysis, we observed that temperature and humidity had an overall limited influence on the miRNomes (average correlation between the different conditions of 0.993). Usage of a silica gel slightly diminished DBS' technical reproducibility. The 7 technical replicates had an average correlation of 0.996. The correlation with whole-blood PAXGene miRNomes of the same individual was remarkable (correlation of 0.88). Finally, evaluation of the samples from the 53 patients with lung cancer exposed to different therapies showed that the biological variations exceeded the technical variability significantly (  < 0.0001), yielding 51 dysregulated miRNAs. We present a stable work flow for profiling of whole miRNomes on the basis of samples collected from DBS. Biological variations exceeded technical variations significantly. DBS-based miRNA profiles will potentially further the translational character of miRNA biomarker studies.},
  chemicals       = {MicroRNAs},
  citation-subset = {IM},
  completed       = {2017-09-07},
  country         = {United States},
  doi             = {10.1373/clinchem.2017.271619},
  issn-linking    = {0009-9147},
  issue           = {9},
  keywords        = {Computational Biology; Dried Blood Spot Testing, standards; Humans; Lung Neoplasms, diagnosis; MicroRNAs, analysis, chemistry; RNA Stability; Reproducibility of Results},
  nlm-id          = {9421549},
  owner           = {NLM},
  pii             = {clinchem.2017.271619},
  pmid            = {28679647},
  pubmodel        = {Print-Electronic},
  pubstatus       = {ppublish},
  revised         = {2017-09-07},
}

{"_id":"c9zZ4zcLTyvFod9vX","bibbaseid":"kahraman-laufer-backes-schrrs-fehlmann-ludwig-kohlhaas-meese-etal-technicalstabilityandbiologicalvariabilityinmicrornasfromdriedbloodspotsalungcancertherapymonitoringshowcase-2017","downloads":0,"creationDate":"2018-07-24T15:09:56.766Z","title":"Technical Stability and Biological Variability in MicroRNAs from Dried Blood Spots: A Lung Cancer Therapy-Monitoring Showcase.","author_short":["Kahraman, M.","Laufer, T.","Backes, C.","Schrörs, H.","Fehlmann, T.","Ludwig, N.","Kohlhaas, J.","Meese, E.","Wehler, T.","Bals, R.","Keller, A."],"year":2017,"bibtype":"article","biburl":"https://www.ccb.uni-saarland.de/wp-content/uploads/2024/11/references.bib_.txt","bibdata":{"bibtype":"article","type":"article","author":[{"propositions":[],"lastnames":["Kahraman"],"firstnames":["Mustafa"],"suffixes":[]},{"propositions":[],"lastnames":["Laufer"],"firstnames":["Thomas"],"suffixes":[]},{"propositions":[],"lastnames":["Backes"],"firstnames":["Christina"],"suffixes":[]},{"propositions":[],"lastnames":["Schrörs"],"firstnames":["Hannah"],"suffixes":[]},{"propositions":[],"lastnames":["Fehlmann"],"firstnames":["Tobias"],"suffixes":[]},{"propositions":[],"lastnames":["Ludwig"],"firstnames":["Nicole"],"suffixes":[]},{"propositions":[],"lastnames":["Kohlhaas"],"firstnames":["Jochen"],"suffixes":[]},{"propositions":[],"lastnames":["Meese"],"firstnames":["Eckart"],"suffixes":[]},{"propositions":[],"lastnames":["Wehler"],"firstnames":["Thomas"],"suffixes":[]},{"propositions":[],"lastnames":["Bals"],"firstnames":["Robert"],"suffixes":[]},{"propositions":[],"lastnames":["Keller"],"firstnames":["Andreas"],"suffixes":[]}],"title":"Technical Stability and Biological Variability in MicroRNAs from Dried Blood Spots: A Lung Cancer Therapy-Monitoring Showcase.","journal":"Clinical chemistry","year":"2017","volume":"63","pages":"1476–1488","month":"September","issn":"1530-8561","abstract":"Different work flows have been proposed to use miRNAs as blood-borne biomarkers. In particular, the method used for collecting blood from patients can considerably influence the diagnostic results. We explored whether dried blood spots (DBSs) facilitate stable miRNA measurements and compared its technical stability with biological variability. First, we tested the stability of DBS samples by generating from 1 person 18 whole-genome-wide miRNA profiles of DBS samples that were exposed to different temperature and humidity conditions. Second, we investigated technical reproducibility by performing 7 replicates of DBS again from 1 person. Third, we investigated DBS samples from 53 patients with lung cancer undergoing different therapies. Across these 3 stages, 108 genome-wide miRNA profiles from DBS were generated and evaluated biostatistically. In the stability analysis, we observed that temperature and humidity had an overall limited influence on the miRNomes (average correlation between the different conditions of 0.993). Usage of a silica gel slightly diminished DBS' technical reproducibility. The 7 technical replicates had an average correlation of 0.996. The correlation with whole-blood PAXGene miRNomes of the same individual was remarkable (correlation of 0.88). Finally, evaluation of the samples from the 53 patients with lung cancer exposed to different therapies showed that the biological variations exceeded the technical variability significantly ( < 0.0001), yielding 51 dysregulated miRNAs. We present a stable work flow for profiling of whole miRNomes on the basis of samples collected from DBS. Biological variations exceeded technical variations significantly. DBS-based miRNA profiles will potentially further the translational character of miRNA biomarker studies.","chemicals":"MicroRNAs","citation-subset":"IM","completed":"2017-09-07","country":"United States","doi":"10.1373/clinchem.2017.271619","issn-linking":"0009-9147","issue":"9","keywords":"Computational Biology; Dried Blood Spot Testing, standards; Humans; Lung Neoplasms, diagnosis; MicroRNAs, analysis, chemistry; RNA Stability; Reproducibility of Results","nlm-id":"9421549","owner":"NLM","pii":"clinchem.2017.271619","pmid":"28679647","pubmodel":"Print-Electronic","pubstatus":"ppublish","revised":"2017-09-07","bibtex":"@Article{Kahraman2017,\n author = {Kahraman, Mustafa and Laufer, Thomas and Backes, Christina and Schrörs, Hannah and Fehlmann, Tobias and Ludwig, Nicole and Kohlhaas, Jochen and Meese, Eckart and Wehler, Thomas and Bals, Robert and Keller, Andreas},\n title = {Technical Stability and Biological Variability in MicroRNAs from Dried Blood Spots: A Lung Cancer Therapy-Monitoring Showcase.},\n journal = {Clinical chemistry},\n year = {2017},\n volume = {63},\n pages = {1476--1488},\n month = sep,\n issn = {1530-8561},\n abstract = {Different work flows have been proposed to use miRNAs as blood-borne biomarkers. In particular, the method used for collecting blood from patients can considerably influence the diagnostic results. We explored whether dried blood spots (DBSs) facilitate stable miRNA measurements and compared its technical stability with biological variability. First, we tested the stability of DBS samples by generating from 1 person 18 whole-genome-wide miRNA profiles of DBS samples that were exposed to different temperature and humidity conditions. Second, we investigated technical reproducibility by performing 7 replicates of DBS again from 1 person. Third, we investigated DBS samples from 53 patients with lung cancer undergoing different therapies. Across these 3 stages, 108 genome-wide miRNA profiles from DBS were generated and evaluated biostatistically. In the stability analysis, we observed that temperature and humidity had an overall limited influence on the miRNomes (average correlation between the different conditions of 0.993). Usage of a silica gel slightly diminished DBS' technical reproducibility. The 7 technical replicates had an average correlation of 0.996. The correlation with whole-blood PAXGene miRNomes of the same individual was remarkable (correlation of 0.88). Finally, evaluation of the samples from the 53 patients with lung cancer exposed to different therapies showed that the biological variations exceeded the technical variability significantly ( < 0.0001), yielding 51 dysregulated miRNAs. We present a stable work flow for profiling of whole miRNomes on the basis of samples collected from DBS. Biological variations exceeded technical variations significantly. DBS-based miRNA profiles will potentially further the translational character of miRNA biomarker studies.},\n chemicals = {MicroRNAs},\n citation-subset = {IM},\n completed = {2017-09-07},\n country = {United States},\n doi = {10.1373/clinchem.2017.271619},\n issn-linking = {0009-9147},\n issue = {9},\n keywords = {Computational Biology; Dried Blood Spot Testing, standards; Humans; Lung Neoplasms, diagnosis; MicroRNAs, analysis, chemistry; RNA Stability; Reproducibility of Results},\n nlm-id = {9421549},\n owner = {NLM},\n pii = {clinchem.2017.271619},\n pmid = {28679647},\n pubmodel = {Print-Electronic},\n pubstatus = {ppublish},\n revised = {2017-09-07},\n}\n\n","author_short":["Kahraman, M.","Laufer, T.","Backes, C.","Schrörs, H.","Fehlmann, T.","Ludwig, N.","Kohlhaas, J.","Meese, E.","Wehler, T.","Bals, R.","Keller, A."],"key":"Kahraman2017","id":"Kahraman2017","bibbaseid":"kahraman-laufer-backes-schrrs-fehlmann-ludwig-kohlhaas-meese-etal-technicalstabilityandbiologicalvariabilityinmicrornasfromdriedbloodspotsalungcancertherapymonitoringshowcase-2017","role":"author","urls":{},"keyword":["Computational Biology; 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