Evidence map›Paper›PMID 28373998›Full record

ArticleData in brief2017

Datasets for transcriptomics, q-proteomics and phenotype microarrays of polyphosphate metabolism mutants from

Macarena Varas, Camilo Valdivieso, Cecilia Mauriaca, Javiera Ortíz-Severín, Alberto Paradela, Ignacio Poblete-Castro, Ricardo Cabrera, Francisco P Chávez

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 1 country.

Macarena VarasSystems Microbiology Laboratory, Department of Biology, Faculty of Science, University of Chile, Chile.
Camilo ValdiviesoSystems Microbiology Laboratory, Department of Biology, Faculty of Science, University of Chile, Chile; Department of Ecology, Faculty of Science, University of Chile, Chile.
Cecilia MauriacaSystems Microbiology Laboratory, Department of Biology, Faculty of Science, University of Chile, Chile.
Javiera Ortíz-SeverínSystems Microbiology Laboratory, Department of Biology, Faculty of Science, University of Chile, Chile.
Alberto ParadelaProteomic Service, CNB CSIC, Spain.
Ignacio Poblete-CastroFacultad de Ciencias Biológicas, Center for Bioinformatics and Integrative Biology, Biosystems Engineering Laboratory, Universidad Andrés Bello, Chile.
Ricardo CabreraDepartment of Biology, Faculty of Sciences, University of Chile, Chile.
Francisco P ChávezSystems Microbiology Laboratory, Department of Biology, Faculty of Science, University of Chile, Chile.
University of Chile · CLUniversidad Andrés Bello · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we provide the dataset associated with our research article on the polyphosphate metabolism entitled, "Multi-level evaluation of Escherichia coli polyphosphate related mutants using global transcriptomic, proteomic and phenomic analyses". By integrating different omics levels (transcriptome, proteome and phenome), we were able to study

Indexed as

PhenomicsPolyphosphateQ-proteomicsSystems biologyTranscriptomics

Identifiers

PMID28373998
PMCPMC5367803
OpenAlexW2595555840

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.