Toward reliable biomarker signatures in the age of liquid biopsies - how to standardize the small RNA-Seq workflow

被引:82
作者
Buschmann, Dominik [1 ,2 ]
Haberberger, Anna [1 ]
Kirchner, Benedikt [1 ]
Spornraft, Melanie [1 ]
Riedmaier, Irmgard [3 ,4 ]
Schelling, Gustav [5 ]
Pfaffl, Michael W. [1 ]
机构
[1] Tech Univ Munich, Dept Anim Physiol & Immunol, TUM Sch Life Sci Weihenstephan, Weihenstephaner Berg 3, D-85354 Freising Weihenstephan, Germany
[2] Univ Munich, Inst Human Genet, Univ Hosp, Goethestr 29, D-80336 Munich, Germany
[3] Tech Univ Munich, Dept Physiol, TUM Sch Life Sci Weihenstephan, Weihenstephaner Berg 3, D-85354 Freising Weihenstephan, Germany
[4] Eurofins Medigenomix Forensik GmbH, Anzinger Str 7a, D-85560 Ebersberg, Germany
[5] Univ Munich, Dept Anesthesiol, Univ Hosp, Marchioninistr 15, D-81377 Munich, Germany
关键词
GUIDELINES MINIMUM INFORMATION; PIWI-INTERACTING RNAS; GENE-EXPRESSION; DIFFERENTIAL EXPRESSION; MESSENGER-RNA; BIOCONDUCTOR PACKAGE; CLUSTERING METHODS; EXOSOME ISOLATION; QUALITY-CONTROL; FROZEN TISSUE;
D O I
10.1093/nar/gkw545
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Small RNA-Seq has emerged as a powerful tool in transcriptomics, gene expression profiling and biomarker discovery. Sequencing cell-free nucleic acids, particularly microRNA (miRNA), from liquid biopsies additionally provides exciting possibilities for molecular diagnostics, and might help establish disease-specific biomarker signatures. The complexity of the small RNA-Seq workflow, however, bears challenges and biases that researchers need to be aware of in order to generate high-quality data. Rigorous standardization and extensive validation are required to guarantee reliability, reproducibility and comparability of research findings. Hypotheses based on flawed experimental conditions can be inconsistent and even misleading. Comparable to the well-established MIQE guidelines for qPCR experiments, this work aims at establishing guidelines for experimental design and pre-analytical sample processing, standardization of library preparation and sequencing reactions, as well as facilitating data analysis. We highlight bottlenecks in small RNA-Seq experiments, point out the importance of stringent quality control and validation, and provide a primer for differential expression analysis and biomarker discovery. Following our recommendations will en-courage better sequencing practice, increase experimental transparency and lead to more reproducible small RNA-Seq results. This will ultimately enhance the validity of biomarker signatures, and allow reliable and robust clinical predictions.
引用
收藏
页码:5995 / 6018
页数:24
相关论文
共 247 条
[1]   Proteomic analysis of exosomal cargo: the challenge of high purity vesicle isolation [J].
Abramowicz, Agata ;
Widlak, Piotr ;
Pietrowska, Monika .
MOLECULAR BIOSYSTEMS, 2016, 12 (05) :1407-1419
[2]   Analyzing and minimizing PCR amplification bias in Illumina sequencing libraries [J].
Aird, Daniel ;
Ross, Michael G. ;
Chen, Wei-Sheng ;
Danielsson, Maxwell ;
Fennell, Timothy ;
Russ, Carsten ;
Jaffe, David B. ;
Nusbaum, Chad ;
Gnirke, Andreas .
GENOME BIOLOGY, 2011, 12 (02)
[3]  
Alba FJ, 2001, ELECTROPHORESIS, V22, P399, DOI 10.1002/1522-2683(200102)22:3<399::AID-ELPS399>3.0.CO
[4]  
2-D
[5]   Barcoding bias in high-throughput multiplex sequencing of miRNA [J].
Alon, Shahar ;
Vigneault, Francois ;
Eminaga, Seda ;
Christodoulou, Danos C. ;
Seidman, Jonathan G. ;
Church, George M. ;
Eisenberg, Eli .
GENOME RESEARCH, 2011, 21 (09) :1506-1511
[6]   BASIC LOCAL ALIGNMENT SEARCH TOOL [J].
ALTSCHUL, SF ;
GISH, W ;
MILLER, W ;
MYERS, EW ;
LIPMAN, DJ .
JOURNAL OF MOLECULAR BIOLOGY, 1990, 215 (03) :403-410
[7]   Differential expression analysis for sequence count data [J].
Anders, Simon ;
Huber, Wolfgang .
GENOME BIOLOGY, 2010, 11 (10)
[8]   HTSeq-a Python']Python framework to work with high-throughput sequencing data [J].
Anders, Simon ;
Pyl, Paul Theodor ;
Huber, Wolfgang .
BIOINFORMATICS, 2015, 31 (02) :166-169
[9]   Argonaute2 complexes carry a population of circulating microRNAs independent of vesicles in human plasma [J].
Arroyo, Jason D. ;
Chevillet, John R. ;
Kroh, Evan M. ;
Ruf, Ingrid K. ;
Pritchard, Colin C. ;
Gibson, Donald F. ;
Mitchell, Patrick S. ;
Bennett, Christopher F. ;
Pogosova-Agadjanyan, Era L. ;
Stirewalt, Derek L. ;
Tait, Jonathan F. ;
Tewari, Muneesh .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2011, 108 (12) :5003-5008
[10]   Gene Ontology: tool for the unification of biology [J].
Ashburner, M ;
Ball, CA ;
Blake, JA ;
Botstein, D ;
Butler, H ;
Cherry, JM ;
Davis, AP ;
Dolinski, K ;
Dwight, SS ;
Eppig, JT ;
Harris, MA ;
Hill, DP ;
Issel-Tarver, L ;
Kasarskis, A ;
Lewis, S ;
Matese, JC ;
Richardson, JE ;
Ringwald, M ;
Rubin, GM ;
Sherlock, G .
NATURE GENETICS, 2000, 25 (01) :25-29