Evidence map›Paper›PMID 27317696›Full record

ArticleNucleic acids research2016

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

Dominik Buschmann, Anna Haberberger, Benedikt Kirchner, Melanie Spornraft, Irmgard Riedmaier, Gustav Schelling, Michael W Pfaffl

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 2 pooled it
5.6field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

68 citing papers in PubMed, 2 syntheses or guidelines pooled it, 104 citations in OpenAlex.

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  12. Microbiota of Saliva: A Non-invasive Diagnostic Tool.Indian journal of microbiology · 2024
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8 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Dominik BuschmannDepartment of Animal Physiology and Immunology, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Weihenstephaner Berg 3, 85354 Freising, Germany Institute of Human Genetics, University Hospital, Ludwig-Maximilians-University Munich, Goethestraße 29, 80336 München, Germany.ORCID 0000-0003-0460-6459
Anna HaberbergerDepartment of Animal Physiology and Immunology, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Weihenstephaner Berg 3, 85354 Freising, Germany.
Benedikt KirchnerDepartment of Animal Physiology and Immunology, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Weihenstephaner Berg 3, 85354 Freising, Germany.ORCID 0000-0003-3878-0148
Melanie SpornraftDepartment of Animal Physiology and Immunology, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Weihenstephaner Berg 3, 85354 Freising, Germany.
Irmgard RiedmaierEurofins Medigenomix Forensik GmbH, Anzinger Straße 7a, 85560 Ebersberg, Germany Department of Anesthesiology, University Hospital, Ludwig-Maximilians-University Munich, Marchioninistraße 15, 81377 München, Germany.ORCID 0000-0002-8292-4148
Gustav SchellingDepartment of Physiology, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Weihenstephaner Berg 3, 85354 Freising, Germany.
Michael W PfafflDepartment of Animal Physiology and Immunology, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Weihenstephaner Berg 3, 85354 Freising, Germany michael.pfaffl@wzw.tum.de.
Technical University of Munich · DEWeihenstephan-Triesdorf University of Applied Sciences · DEEurofins (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 encourage 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.

Indexed as

BiomarkersBiopsyComputational BiologyGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansMicroRNAsPathology, MolecularBiomarkersMicroRNAs

Identifiers

PMID27317696
PMCPMC5291277
OpenAlexW2424601086

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.