Evidence map›Paper›PMID 25052187›Full record

ArticleMolecular biology reports2014

A stress-responsive late embryogenesis abundant protein 7 (CsLEA7) of tea [Camellia sinensis (L.) O. Kuntze] encodes for a chaperone that imparts tolerance to Escherichia coli against stresses.

Asosii Paul, Sewa Singh, Shweta Sharma, Sanjay Kumar

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In one paragraph

Article in Molecular biology reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

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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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Pleiotropic roles of late embryogenesis abundant proteins ofComputational and structural biotechnology journal · 2021
    Review
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  5. Article
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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

4 authors at 1 institution in 1 country.

Asosii PaulBiotechnology Division, CSIR-Institute of Himalayan Bioresource Technology, Palampur, Himachal Pradesh, 176061, India.
Sewa Singh
Shweta Sharma
Sanjay Kumar
Institute of Himalayan Bioresource Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study characterized CsLEA7, a group 7 late embryogenesis abundant (LEA) gene, from tea [Camellia sinensis (L.) O. Kuntze]. The gene had an open reading frame of 462 base pairs encoding 153 amino acids with calculated molecular weight of 16.63 kDa and an isoelectric point (pI) of 4.93. Analysis revealed CsLEA7 to be an intrinsically ordered protein consisting of nine β-strands and two α-helices. CsLEA7 expressed ubiquitously in all the tissues analyzed with highest level of transcripts in mature leaf as compared to in flower bud, younger leaves, stem and fruit. Expression was the least in root tissue. CsLEA7 exhibited up-regulation in response to low temperature, polyethylene glycol-8000, sodium chloride and hydrogen peroxide in tea. Analysis of the promoter of CsLEA7 revealed a core promoter element and distinct cis-acting regulatory elements regulating gene expression under abiotic stresses. CsLEA7 exhibited chaperonic activity as evinced by protection to malate dehydrogenase against heat denaturation assay. Recombinant Escherichia coli cells producing CsLEA7 exhibited improved tolerance against diverse cues: polyethylene glycol-8000, sodium chloride, hydrogen peroxide and low temperature signifying its role in imparting stress tolerance.

Indexed as

Models, MolecularAmino Acid SequenceAnalysis of VarianceBase SequenceCamellia sinensisCloning, MolecularCluster AnalysisComputational BiologyDNA PrimersEscherichia coliMolecular ChaperonesMolecular Sequence DataOpen Reading FramesPlant ProteinsProtein ConformationReal-Time Polymerase Chain ReactionDNA Primerslate embryogenesis abundant protein, plantMolecular ChaperonesPlant Proteins

Identifiers

PMID25052187
OpenAlexW2464555868

What OpenQuestion holds

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Registered trials

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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.