Evidence map›Paper›PMID 21104021›Full record

ArticleMolecular biology reports2011

Functional analysis of BnMAR element in transgenic tobacco plants.

Miao-Yun Xu, Xi Zhang, Lan Zhang, Yan-Zhong Luo, Yun-Liu Fan, Lei Wang

Abstract read
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In one paragraph

Article in Molecular biology reports, 2011. 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
0.1field-weighted citation impact, top 45% 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, 5 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

6 authors at 2 institutions in 1 country.

Miao-Yun XuBiotechnology Research Institute/The National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Xi Zhang
Lan Zhang
Yan-Zhong Luo
Yun-Liu Fan
Lei Wang
Biotechnology Research Institute · CNInstitute of Crop Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scaffold/matrix attachment regions (S/MARs) are defined as genomic DNA sequences, located at the physical boundaries of chromatin loops. Previous reports suggest that S/MARs elements may increase and stabilize the expression of transgene. In this study, DNA sequence with MAR characteristics has been isolated from B. napus . The BnMARs sequence was used to flank the CaMV35S-GUS-NOS expression cassette within the T-DNA of the plant expression vector pPZP212. These constructs were introduced into tobacco plants, respectively and the GUS reporter gene expression was investigated in stably transformed plants. When the forward BnMARs sequence was inserted into the upstream of CaMV35S promoter, the average GUS activities were much higher than those without BnMARs in transgenic tobacco. The GUS expression of M(+)35S:GUS, M(+)35S:GUSM(+) and M(+)35S:GUSM(-) constructs increased average 1.0-fold, with or without BnMARs located downstream of NOS. The GUS expression would not be affected when reverse BnMARs sequence inserted whether upstream of CaMV35S promoter or downstream of NOS. The GUS expression was affected a little when reverse BnMARs sequence was inserted the downstream of NOS and BnMARs could not act by serving as of promoter. The results showed that the presence of forward BnMARs sequence does have an obvious impact on enhancing downstream gene expression and its effect is unidirectional.

Indexed as

Brassica napusGene Expression Regulation, PlantGenes, ReporterMatrix Attachment RegionsMolecular Sequence DataNicotianaPhylogenyPlants, Genetically ModifiedRegenerationRegulatory Sequences, Nucleic AcidTransgenes

Identifiers

PMID21104021
OpenAlexW2129406397

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.