Evidence map›Paper›PMID 23764402›Full record

ArticleBiochemical and biophysical research communications2013

Viral categorization and discovery in human circulation by transcriptome sequencing.

Weihua Wang, Xiaoan Zhang, Yanjuan Xu, Adrian M Di Bisceglie, Xiaofeng Fan

Abstract read
In one paragraph

Article in Biochemical and biophysical research communications, 2013. 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.

  1. Trial
  2. Article
  3. Article
  4. 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

5 authors.

Weihua WangDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Saint Louis University School of Medicine, St. Louis, MO 63104, USA.
Xiaoan Zhang
Yanjuan Xu
Adrian M Di Bisceglie
Xiaofeng Fan

Funding

Midwest Hepatitis B ConsortiumU01DK082871 · NIDDK · SAINT LOUIS UNIVERSITY · PI DI BISCEGLIE, ADRIAN MICHAEL · 2008 to 2019
$4.7M
Hepatitis C Virus Quasispecies in the Resistance to Antiviral TherapyR01DK080711 · NIDDK · SAINT LOUIS UNIVERSITY · PI FAN, XIAOFENG · 2008 to 2012
$1.5M
Cell Culture System for Hepatitis C Virus Genotype 1aR21AI076834 · NIAID · SAINT LOUIS UNIVERSITY · PI DI BISCEGLIE, ADRIAN MICHAEL · 2008 to 2009
$404k
NIAID NIH HHS R21 AI076834NIDDK NIH HHS R01 DK080711NIDDK NIH HHS R01 DK80711NIDDK NIH HHS U01 DK082871
6 · The paper itself

Abstract

Serum is the most common and easily accessible patient specimen in a minimally invasive manner. As a biological resource, RNA in serum has been less explored for its clinical utilization due to prevailing concerns regarding its high degradable nature. In the current study, however, we have documented the use of human serum RNA for viral categorization and discovery through transcriptome sequencing and analysis using well-curated databases and advanced bioinformatic tools. Such an integrated approach may have an immediate application in any clinical situations concerning with viral etiology.

Indexed as

Computational BiologyDNA, ComplementaryGene Expression ProfilingHepacivirusHepatitis C, ChronicHumansOpen Reading FramesRNA, ViralSensitivity and SpecificityTranscriptomeDNA, ComplementaryRNA, ViralMultiple displacement amplificationNext-generation sequencingViral discovery

Identifiers

PMID23764402
PMCPMC3709469

What OpenQuestion holds

Textmetadata
LicenceTDM
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.