Evidence map›Paper›PMID 26259698›Full record

ReviewMolecular bioSystems2015

Next-generation analysis of gene expression regulation--comparing the roles of synthesis and degradation.

Joel McManus, Zhe Cheng, Christine Vogel

Abstract readReview
In one paragraph

Review in Molecular bioSystems, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

53 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Legume-rhizobia symbiosis: Translatome analysis.Genetics and molecular biology · 2024
    Article
  18. Review
  19. Article
  20. 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

3 authors.

Joel McManusDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, USA. mcmanus@andrew.cmu.edu.
Zhe Cheng
Christine Vogel

Funding

Robust statistical approaches for decoding protein and mRNA expression regulationR01GM113237 · NIGMS · NEW YORK UNIVERSITY · PI VOGEL, CHRISTINE · 2014 to 2017
$1.5M
NIGMS NIH HHS R01 GM113237
6 · The paper itself

Abstract

Technological advances now enable routine measurement of mRNA and protein abundances, and estimates of their rates of synthesis and degradation that inform on their values and the degree of change in response to stimuli. Importantly, more and more data on time-series experiments are emerging, e.g. of cells responding to stress, enabling first insights into a new dimension of gene expression regulation - its dynamics and how it allows for very different response signals across genes. This review discusses recently published methods and datasets, their impact on what we now know about the relationships between concentrations and synthesis rates of mRNAs and proteins in yeast and mammalian cells, their evolution, and new hypotheses on translation regulatory mechanisms generated by approaches that involve ribosome footprinting.

Indexed as

AnimalsEvolution, MolecularGene Expression ProfilingGene Expression RegulationHumansProteinsRibosomesRNA, MessengerSequence Analysis, RNAYeastsProteinsRNA, Messenger

Identifiers

PMID26259698
PMCPMC4573910

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.