Evidence map›Paper›PMID 28553270›Full record

ArticleFrontiers in microbiology2017

Time-Resolved Transcriptomics and Constraint-Based Modeling Identify System-Level Metabolic Features and Overexpression Targets to Increase Spiramycin Production in

Marco Fondi, Eva Pinatel, Adelfia Talà, Fabrizio Damiano, Clarissa Consolandi, Benedetta Mattorre, Daniela Fico, Mariangela Testini, Giuseppe E De Benedetto, Luisa Siculella and 3 more

Open access · goldAbstract read
In one paragraph

Article 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

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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

13 authors at 4 institutions in 1 country.

Marco FondiDepartment of Biology, University of FlorenceFlorence, Italy.
Eva PinatelInstitute of Biomedical Technologies, National Research CouncilSegrate, Italy.
Adelfia TalàDepartment of Biological and Environmental Sciences and Technologies, University of SalentoLecce, Italy.
Fabrizio DamianoDepartment of Biological and Environmental Sciences and Technologies, University of SalentoLecce, Italy.
Clarissa ConsolandiInstitute of Biomedical Technologies, National Research CouncilSegrate, Italy.
Benedetta MattorreDepartment of Biology, University of FlorenceFlorence, Italy.
Daniela FicoLaboratory of Analytical and Isotopic Mass Spectrometry, Department of Cultural Heritage, University of SalentoLecce, Italy.
Mariangela TestiniDepartment of Biological and Environmental Sciences and Technologies, University of SalentoLecce, Italy.
Giuseppe E De BenedettoLaboratory of Analytical and Isotopic Mass Spectrometry, Department of Cultural Heritage, University of SalentoLecce, Italy.
Luisa SiculellaDepartment of Biological and Environmental Sciences and Technologies, University of SalentoLecce, Italy.
Gianluca De BellisInstitute of Biomedical Technologies, National Research CouncilSegrate, Italy.
Pietro AlifanoDepartment of Biological and Environmental Sciences and Technologies, University of SalentoLecce, Italy.
Clelia PeanoInstitute of Biomedical Technologies, National Research CouncilSegrate, Italy.
University of Salento · ITInstitute of Biomedical Technologies · ITUniversity of Florence · ITNational Research Council · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study we have applied an integrated system biology approach to characterize the metabolic landscape of

Indexed as

antibiotic productionmetabolic modelingstrain improvementStreptomyces ambofacienssystems biologytranscriptomics

Identifiers

PMID28553270
PMCPMC5427115
OpenAlexW2613525308

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.