Evidence map›Paper›PMID 25810547›Full record

ReviewJournal of virology2015

Decoding viral infection by ribosome profiling.

Noam Stern-Ginossar

Abstract readReview
In one paragraph

Review in Journal of virology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Structural aspects of hepatitis E virus.Archives of virology · 2022
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. GWIPS-viz: 2018 update.Nucleic acids research · 2018
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. 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

1 author.

Noam Stern-GinossarDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel noam.stern-ginossar@weizmann.ac.il.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ribosome profiling is an emerging technique that uses deep sequencing to monitor translation in live cells. Studies using ribosome profiling have already provided novel insights into the identities and amounts of the proteins being produced in cells, as well as novel insights into the mechanism of protein synthesis and translation regulation. Application of ribosome profiling to cells infected with human cytomegalovirus and Kaposi's sarcoma-associated herpesvirus revealed unanticipated complexity in the coding capacity of herpesviruses. Here, I discuss these results and how the application of ribosome profiling to cells infected with other viruses can reveal novel insights into the process of infection.

Indexed as

Protein BiosynthesisCytomegalovirusCytomegalovirus InfectionsGene Expression ProfilingHerpesviridae InfectionsHerpesvirus 8, HumanHumansMolecular BiologyRibosomesRNA, MessengerRNA, Messenger

Identifiers

PMID25810547
PMCPMC4474316

What OpenQuestion holds

Textmetadata
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.