Evidence map›Paper›PMID 21744262›Full record

ArticleMolecular biology reports2012

Comparative analysis on the expression of inducible HSPs in the silkworm, Bombyx mori.

Jun Li, S Hossein Hosseini Moghaddam, Xin Du, Bo-Xiong Zhong, Yu-Yin Chen

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

11 citing papers in PubMed, 38 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

5 authors at 2 institutions in 2 countries.

Jun LiCollege of Animal Sciences, Zhejiang University, Hangzhou, 310029, People's Republic of China.
S Hossein Hosseini Moghaddam
Xin Du
Bo-Xiong Zhong
Yu-Yin Chen
Zhejiang University · CNUniversity of Guilan · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heat shock proteins (HSPs), well-known in respond to various kinds of stress situations, have been widely studied in Drosophila. However, a few reports related to silkworm bombyx mori. Genetic and non-genetic factors affecting on the expression of some HSPs in heat-treated silkworm were studied at the present paper. The mRNA levels of HSPs were quantified by real-time quantitative RT-PCR method and compared with their expression in the proteome profiles. The results showed up-regulation of two small heat shock proteins (sHSPs), HSP19.9 and HSP20.4 and down-regulation of HSP70 in the fat body, testis and ovary of heat exposed larvae. Higher variation of the sHSPs than HSP70 was observed in the different conditions such as heat exposures and genetic backgrounds. Significant difference in the HSP19.9 expression between two breeds was observed which implied the importance of this gene in the genetic differences. There was significant difference between responses of severe and mild heat shocks after 4 h heat recovery. The HSPs expression in male was significantly higher than that in female silkworm larva for all transcript measurements (P < 0.001). Comparison of two methods of quantification showed a fair similarity between HSPs expression in the transcriptome and proteome levels. Nistari breed as a naturally thermo-tolerant breed was expressed lower HSPs than a thermo-sensitive breed.

Indexed as

Gene Expression RegulationAnalysis of VarianceAnimalsBombyxBreedingElectrophoresis, Gel, Two-DimensionalFemaleHeat-Shock ProteinsHeat-Shock ResponseLarvaMaleOvaryProteomeReal-Time Polymerase Chain ReactionRNA, MessengerTestisHeat-Shock ProteinsProteomeRNA, Messenger

Identifiers

PMID21744262
OpenAlexW2049743683

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.