Evidence map›Paper›PMID 37847308›Full record

ArticleInternational journal of legal medicine2024

Spitting in the wind?-The challenges of RNA sequencing for biomarker discovery from saliva.

Annica Gosch, Regine Banemann, Guro Dørum, Cordula Haas, Thorsten Hadrys, Nadescha Haenggi, Galina Kulstein, Jacqueline Neubauer, Cornelius Courts

Abstract read
In one paragraph

Article in International journal of legal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

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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

9 authors.

Annica GoschInstitute of Legal Medicine, University Hospital of Cologne, Cologne, Germany.
Regine BanemannFederal Criminal Police Office, Forensic Science Institute, Wiesbaden, Germany.
Guro DørumZurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.
Cordula HaasZurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.
Thorsten HadrysState Criminal Police Office, Forensic Science Institute, Munich, Germany.
Nadescha HaenggiZurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.
Galina KulsteinFederal Criminal Police Office, Forensic Science Institute, Wiesbaden, Germany.
Jacqueline NeubauerZurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.
Cornelius CourtsInstitute of Legal Medicine, University Hospital of Cologne, Cologne, Germany. cornelius.courts@uk-koeln.de.ORCID http://orcid.org/0000-0002-9811-8482

Funding

Deutsche Forschungsgemeinschaft 407495230Deutsche Forschungsgemeinschaft CO992/10-1European Union Internal Security Fund IZ25-5793-2019-44
6 · The paper itself

Abstract

Forensic trace contextualization, i.e., assessing information beyond who deposited a biological stain, has become an issue of great and steadily growing importance in forensic genetic casework and research. The human transcriptome encodes a wide variety of information and thus has received increasing interest for the identification of biomarkers for different aspects of forensic trace contextualization over the past years. Massively parallel sequencing of reverse-transcribed RNA ("RNA sequencing") has emerged as the gold standard technology to characterize the transcriptome in its entirety and identify RNA markers showing significant expression differences not only between different forensically relevant body fluids but also within a single body fluid between forensically relevant conditions of interest. Here, we analyze the quality and composition of four RNA sequencing datasets (whole transcriptome as well as miRNA sequencing) from two different research projects (the RNAgE project and the TrACES project), aiming at identifying contextualizing forensic biomarker from the forensically relevant body fluid saliva. We describe and characterize challenges of RNA sequencing of saliva samples arising from the presence of oral bacteria, the heterogeneity of sample composition, and the confounding factor of degradation. Based on these observations, we formulate recommendations that might help to improve RNA biomarker discovery from the challenging but forensically relevant body fluid saliva.

Indexed as

Body FluidsSalivaBiomarkersForensic GeneticsHigh-Throughput Nucleotide SequencingHumansRNASemenSequence Analysis, RNABiomarkersRNAForensic RNA analysisMassive parallel sequencingSaliva

Identifiers

PMID37847308
PMCPMC10861700

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Registered trials

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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.