Evidence map›Paper›PMID 34286000›Full record

ArticleBio-protocol2018

Characterizing the Transcriptional Effects of Endolysin Treatment on Established Biofilms of

Lucía Fernández, Silvia González, Diana Gutiérrez, Ana Belén Campelo, Beatriz Martínez, Ana Rodríguez, Pilar García

Open access · greenAbstract read
In one paragraph

Article in Bio-protocol, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 95% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Biology and Regulation of Staphylococcal Biofilm.International journal of molecular sciences · 2023
    Review
  3. Review
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

7 authors at 1 institution in 1 country.

Lucía FernándezInstituto de Productos Lácteos de Asturias (IPLA-CSIC), Villaviciosa, Asturias, Spain.
Silvia GonzálezInstituto de Productos Lácteos de Asturias (IPLA-CSIC), Villaviciosa, Asturias, Spain.
Diana GutiérrezInstituto de Productos Lácteos de Asturias (IPLA-CSIC), Villaviciosa, Asturias, Spain.
Ana Belén CampeloInstituto de Productos Lácteos de Asturias (IPLA-CSIC), Villaviciosa, Asturias, Spain.
Beatriz MartínezInstituto de Productos Lácteos de Asturias (IPLA-CSIC), Villaviciosa, Asturias, Spain.
Ana RodríguezInstituto de Productos Lácteos de Asturias (IPLA-CSIC), Villaviciosa, Asturias, Spain.
Pilar GarcíaInstituto de Productos Lácteos de Asturias (IPLA-CSIC), Villaviciosa, Asturias, Spain.
Instituto de Productos Lácteos de Asturias · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biofilms are the most common lifestyle of bacteria in both natural and human environments. The organized structure of these multicellular communities generally protects bacterial cells from external challenges, thereby enhancing their ability to survive treatment with antibiotics or disinfectants. For this reason, the search for new antibiofilm strategies is an active field of study. In this context, bacteriophages (viruses that infect bacteria) and their derived proteins have been proposed as promising alternatives for eliminating biofilms. For instance, endolysins can degrade peptidoglycan and, ultimately, lyse the target bacterial cells. However, it is important to characterize the responses of bacterial cells exposed to these compounds in order to improve the design of phage-based antimicrobial strategies. This protocol was developed to examine the transcriptional responses of

Indexed as

BiofilmsEndolysinsResponses to antimicrobialsRNA-seqStaphylococcus aureus

Identifiers

PMID34286000
PMCPMC8275233
OpenAlexW2809112438

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.