Evidence map›Paper›PMID 28002481›Full record

ArticlePloS one2016

A Rapid Spin Column-Based Method to Enrich Pathogen Transcripts from Eukaryotic Host Cells Prior to Sequencing.

Zachary W Bent, Kunal Poorey, Annette E LaBauve, Rachelle Hamblin, Kelly P Williams, Robert J Meagher

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
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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

6 authors at 1 institution in 1 country.

Zachary W BentSystems Biology Department, Sandia National Laboratories, Livermore, California, United States of America.
Kunal PooreySystems Biology Department, Sandia National Laboratories, Livermore, California, United States of America.
Annette E LaBauveBiotechnology and Bioengineering Department, Sandia National Laboratories, Livermore, California, United States of America.
Rachelle HamblinSystems Biology Department, Sandia National Laboratories, Livermore, California, United States of America.
Kelly P WilliamsSystems Biology Department, Sandia National Laboratories, Livermore, California, United States of America.
Robert J MeagherBiotechnology and Bioengineering Department, Sandia National Laboratories, Livermore, California, United States of America.ORCID http://orcid.org/0000-0002-6262-2126
Sandia National Laboratories California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When analyzing pathogen transcriptomes during the infection of host cells, the signal-to-background (pathogen-to-host) ratio of nucleic acids (NA) in infected samples is very small. Despite the advancements in next-generation sequencing, the minute amount of pathogen NA makes standard RNA-seq library preps inadequate for effective gene-level analysis of the pathogen in cases with low bacterial loads. In order to provide a more complete picture of the pathogen transcriptome during an infection, we developed a novel pathogen enrichment technique, which can enrich for transcripts from any cultivable bacteria or virus, using common, readily available laboratory equipment and reagents. To evenly enrich for pathogen transcripts, we generate biotinylated pathogen-targeted capture probes in an enzymatic process using the entire genome of the pathogen as a template. The capture probes are hybridized to a strand-specific cDNA library generated from an RNA sample. The biotinylated probes are captured on a monomeric avidin resin in a miniature spin column, and enriched pathogen-specific cDNA is eluted following a series of washes. To test this method, we performed an in vitro time-course infection using Klebsiella pneumoniae to infect murine macrophage cells. K. pneumoniae transcript enrichment efficiency was evaluated using RNA-seq. Bacterial transcripts were enriched up to ~400-fold, and allowed the recovery of transcripts from ~2000-3600 genes not observed in untreated control samples. These additional transcripts revealed interesting aspects of K. pneumoniae biology including the expression of putative virulence factors and the expression of several genes responsible for antibiotic resistance even in the absence of drugs.

Indexed as

Chromatography, AffinityAnimalsAvidinDNA ProbesGene LibraryHigh-Throughput Nucleotide SequencingHost-Pathogen InteractionsKlebsiella pneumoniaeMacrophagesMiceNucleic Acid HybridizationRNA, BacterialSequence Analysis, RNATranscriptomeAvidinDNA ProbesRNA, Bacterial

Identifiers

PMID28002481
PMCPMC5176299
OpenAlexW2571489055

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.