Evidence map›Paper›PMID 23691506›Full record

ArticleBioMed research international2013

Development of an ammonium sulfate DNA extraction method for obtaining amplifiable DNA in a small number of cells and its application to clinical specimens.

Seo Young Oh, Wook Youn Kim, Tae Sook Hwang, Hye Seung Han, So Dug Lim, Wan Seop Kim

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
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  4. Article
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 1 institution in 1 country.

Seo Young OhDepartment of Animal Biotechnology, College of Animal Bioscience and Technology, Konkuk University, Gwangjin-gu, Seoul, Republic of Korea.
Wook Youn Kim
Tae Sook Hwang
Hye Seung Han
So Dug Lim
Wan Seop Kim
Konkuk University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA extraction from microdissected cells has become essential for handling clinical specimens with advances in molecular pathology. Conventional methods have limitations for extracting amplifiable DNA from specimens containing a small number of cells. We developed an ammonium sulfate DNA extraction method (A) and compared it with two other methods (B and C). DNA quality and quantity, β-globin amplification, and detectability of two cancer associated gene mutations were evaluated. Method A showed the best DNA yield, particularly when the cell number was very low. Amplification of the β-globin gene using DNA from the SNU 790 cell line and papillary thyroid carcinoma (PTC) cells extracted with Method A demonstrated the strongest band. BRAF(V600E) mutation analysis using ethanol-fixed PTC cells from a patient demonstrated both a "T" peak increase and an adjacent "A" peak decrease when 25 and 50 cells were extracted, whereas mutant peaks were too low to be analyzed using the other two methods. EGFR mutation analysis using formalin-fixed paraffin-embedded lung cancer tissues demonstrated a mutant peak with Method A, whereas the mutant peak was undetectable with Methods B or C. Method A yielded the best DNA quantity and quality with outstanding efficiency, particularly when paucicellular specimens were used.

Indexed as

Ammonium SulfateBase Sequencebeta-GlobinsCarcinomaCarcinoma, PapillaryCell CountCell Line, TumorDNADNA Mutational AnalysisErbB ReceptorsGene AmplificationHumansMolecular BiologyParaffin EmbeddingPolymerase Chain ReactionTemplates, GeneticAmmonium Sulfatebeta-GlobinsDNAEGFR protein, humanErbB Receptors

Identifiers

PMID23691506
PMCPMC3652119
OpenAlexW2168182167

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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.