Evidence map›Paper›PMID 30871640›Full record

ArticleBMC research notes2019

Transcriptional response of OmpC and OmpF in Escherichia coli against differential gradient of carbapenem stress.

Shiela Chetri, Melson Singha, Deepshikha Bhowmik, Kathakali Nath, Debadatta Dhar Chanda, Atanu Chakravarty, Amitabha Bhattacharjee

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

30 citing papers in PubMed, 60 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

7 authors at 2 institutions in 1 country.

Shiela ChetriDepartment of Microbiology, Assam University, Silchar, Assam, India.
Melson SinghaDepartment of Microbiology, Assam University, Silchar, Assam, India.
Deepshikha BhowmikDepartment of Microbiology, Assam University, Silchar, Assam, India.
Kathakali NathDepartment of Microbiology, Assam University, Silchar, Assam, India.
Debadatta Dhar ChandaDepartment of Microbiology, Silchar Medical College and Hospital, Silchar, Assam, India.
Atanu ChakravartyDepartment of Microbiology, Silchar Medical College and Hospital, Silchar, Assam, India.
Amitabha BhattacharjeeDepartment of Microbiology, Assam University, Silchar, Assam, India. ab0404@gmail.com.
Assam University · INSilchar Medical College and Hospital · IN

Funding

Indian Council of Medical Research 2018-3430/CMB-BMS
6 · The paper itself

Abstract

objectiveThis study was designed to investigate the transcriptional response of OmpF and OmpC along with an antisense RNA, MicF under concentration gradient carbapenem exposure.

resultAn elevation in the expression of OmpF gene under concentration gradient imipenem stress from a particular concentration was observed. For OmpC gene a significant decrease in the expression was noticed under concentration gradient imipenem and meropenem stress. The study showed reduction in the expression of OmpC gene against imipenem and meropenem possibly preventing the entry of carbapenem antibiotic inside the cell indicating a possible role in carbapenem resistance.

Indexed as

Anti-Bacterial AgentsCarbapenemsDose-Response Relationship, DrugDrug Resistance, MicrobialEscherichia coliGene Expression Regulation, BacterialImipenemMeropenemMicrobial Sensitivity TestsPorinsRNA, AntisenseRNA, BacterialTranscription, GeneticAnti-Bacterial AgentsCarbapenemsImipenemMeropenemOmpC proteinOmpF proteinPorinsRNA, AntisenseRNA, BacterialCarbapenemEscherichia colimicFOmpCOmpFReal time PCR

Identifiers

PMID30871640
PMCPMC6419367
OpenAlexW2921656284

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.