Evidence map›Paper›PMID 31193701›Full record

ArticleHeliyon2019

Rapid identification of unknown pathogens in environmental samples using a high-throughput sequencing-based approach.

Ofir Israeli, Inbar Cohen-Gihon, Anat Zvi, Shirley Lazar, Ohad Shifman, Haim Levy, Avital Tidhar, Adi Beth-Din

Abstract read
In one paragraph

Article in Heliyon, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Rapid and Sensitive Multiplex Assay for the Detection ofPathogens (Basel, Switzerland) · 2020
    Article
  7. Article
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

8 authors.

Ofir IsraeliDepartment of Biochemistry and Molecular Genetics, Israel Institute for Biological Research, Ness Ziona, Israel.
Inbar Cohen-GihonDepartment of Biochemistry and Molecular Genetics, Israel Institute for Biological Research, Ness Ziona, Israel.
Anat ZviDepartment of Biochemistry and Molecular Genetics, Israel Institute for Biological Research, Ness Ziona, Israel.
Shirley LazarDepartment of Biochemistry and Molecular Genetics, Israel Institute for Biological Research, Ness Ziona, Israel.
Ohad ShifmanDepartment of Biochemistry and Molecular Genetics, Israel Institute for Biological Research, Ness Ziona, Israel.
Haim LevyDepartment of Infectious Diseases, Israel Institute for Biological Research, Ness Ziona, Israel.
Avital TidharDepartment of Biochemistry and Molecular Genetics, Israel Institute for Biological Research, Ness Ziona, Israel.
Adi Beth-DinDepartment of Biochemistry and Molecular Genetics, Israel Institute for Biological Research, Ness Ziona, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the event of a bioterror attack, a prompt, sensitive and definite identification of the agents involved is of major concern for confirmation of the event and for mitigation of countermeasures. Whether the information from intelligence forces is limited concerning the biothreat identity or one suspects the presence of a novel or engineered agent, the genetic identification of microorganisms in an unknown sample is challenging. High-throughput sequencing (HTS) technologies can sequence a heterogeneous mixture of genetic materials with high sensitivity and speed; nevertheless, despite the enormous advantages of HTS, all previous reports have analyzed unknown samples in a timeframe of a few days to a few weeks. This timeframe might not be relevant to an emergency scenario. Here, we present an HTS-based approach for deciphering the genetic composition of unknown samples within a working day. This outcome is accomplished by a rapid library preparation procedure, short-length sequencing and a prompt bioinformatics comparison against all available microbial genomic sequences. Using this approach, as a proof of concept, we were able to detect two spiked-in biothreat agents,

Indexed as

BioinformaticsGeneticsMicrobiologyMolecular biology

Identifiers

PMID31193701
PMCPMC6538980

What OpenQuestion holds

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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.