Evidence map›Paper›PMID 28900417›Full record

ReviewFrontiers in microbiology2017

Integrated Translatome and Proteome: Approach for Accurate Portraying of Widespread Multifunctional Aspects of

Vivek Sharma, Richa Salwan, P N Sharma, Arvind Gulati

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Protease and chitinase activity ofFrontiers in microbiology · 2025
    Article
  3. Article
  4. Comparative analysis ofFrontiers in microbiology · 2022
    Article
  5. Article
  6. Synergistic Effect ofInternational journal of molecular sciences · 2020
    Article
  7. Article
  8. Article
  9. Article
  10. Frontiers in microbiology · 2019
    Article
  11. Review
  12. 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

4 authors.

Vivek SharmaDepartment of Plant Pathology, Choudhary Sarwan Kumar Himachal Pradesh Agricultural UniversityPalampur, India.
Richa SalwanDepartment of Veterinary Microbiology, Choudhary Sarwan Kumar Himachal Pradesh Agricultural UniversityPalampur, India.
P N SharmaDepartment of Plant Pathology, Choudhary Sarwan Kumar Himachal Pradesh Agricultural UniversityPalampur, India.
Arvind GulatiInstitute of Himalayan Bioresource TechnologyPalampur, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide studies of transcripts expression help in systematic monitoring of genes and allow targeting of candidate genes for future research. In contrast to relatively stable genomic data, the expression of genes is dynamic and regulated both at time and space level at different level in. The variation in the rate of translation is specific for each protein. Both the inherent nature of an mRNA molecule to be translated and the external environmental stimuli can affect the efficiency of the translation process. In biocontrol agents (BCAs), the molecular response at translational level may represents noise-like response of absolute transcript level and an adaptive response to physiological and pathological situations representing subset of mRNAs population actively translated in a cell. The molecular responses of biocontrol are complex and involve multistage regulation of number of genes. The use of high-throughput techniques has led to rapid increase in volume of transcriptomics data of

Indexed as

active mRNAintegrated omicregulationtranscriptstranslatome

Identifiers

PMID28900417
PMCPMC5581810

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.