Evidence map›Paper›PMID 19101826›Full record

ArticleMolecular biotechnology2009

A silver-staining cDNA-AFLP protocol suitable for transcript profiling in the latex of Hevea brasiliensis (para rubber tree).

Xiaohu Xiao, Heping Li, Chaorong Tang

Abstract read
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Article in Molecular biotechnology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. CleanBSequences: an efficient curator of biological sequences in R.Molecular genetics and genomics : MGG · 2020
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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

3 authors at 2 institutions in 1 country.

Xiaohu XiaoKey Lab of Rubber Biology, Ministry of Agriculture, Danzhou, Hainan, 571737, China.
Heping Li
Chaorong Tang
Rubber Research Institute · CNHainan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

cDNA amplified fragment length polymorphism (cDNA-AFLP) is a powerful transcript-profiling tool widely used in diverse plant species. When applied to a new biological system, however, existing protocols usually require substantial modifications. Furthermore, the usage of radioactive isotope in typical protocols excludes their application in many labs. Latex, as the cytoplasm of rubber-producing cells sees a critical role in elucidating rubber biosynthesis and its regulation in rubber tree (Hevea brasiliensis). This paper describes a detailed step-by-step silver-staining cDNA-AFLP procedure, which is suitable to latex transcript profiling analysis. Theoretical analysis revealed that with the combination of two restriction enzyme pairs (ApoI/MseI and TaqI/MseI), approximately 94% of latex whole transcriptome could be visualized. After varying multiple parameters, including the amounts of primary and secondary template usage, pre-amplification cycle number and gel development, we obtained a high-quality silver-staining fingerprint. In the ApoI/MseI system, an average of 88.6 discernable bands (100-1,000 bp) was produced for each selective primer pair, and 97.2 bands for another system (TaqI/MseI). TaqI/MseI was the first pair of 4-bp cutters used in cDNA-AFLP analysis and proved to be efficient and reliable. The sensitivity and reliability of our method were further verified by an application example in detecting differential gene expression in the latex of Hevea tree.

Indexed as

Amplified Fragment Length Polymorphism AnalysisDNA, ComplementaryDNA FingerprintingDNA Restriction EnzymesGene Expression ProfilingHeveaLatexReproducibility of ResultsRNA, PlantSequence Analysis, DNASilver StainingDNA, ComplementaryDNA Restriction EnzymesLatexRNA, Plant

Identifiers

PMID19101826
OpenAlexW2095601418

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.