Evidence map›Paper›PMID 18316815›Full record

ArticleCBE life sciences education2008

Development of a cross-disciplinary investigative model for the introduction of microarray techniques at non-r1 undergraduate institutions.

David E Walker, Gary P Lutz, Consuelo J Alvarez

Open access · greenAbstract read
In one paragraph

Article in CBE life sciences education, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 44% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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.

David E WalkerCollege of Dental Medicine, Nova Southeastern University, Fort Lauderdale, FL 33328-2018, USA.
Gary P Lutz
Consuelo J Alvarez
Longwood University · USNova Southeastern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integrating advanced biological techniques into instruction at non-R1 institutions can prove to be a challenge. Here, we report the creation of a model for the introduction of gene expression microarray technology into a research laboratory. A student assessment tool was used to evaluate 1) technical skill development, 2) cross-disciplinary issues, 3) development of trouble-shooting skills, and 4) career evaluation. The exposure of Saccharomyces cerevisiae yeast cells to three plasticizers served as a template for the introduction of this technology. Cells were harvested at mid-log phase, and RNA was extracted. The mRNA was converted to cDNA by using reverse transcriptase primers containing a capture sequence that was later recognized by a fluorescent dendrimer by using cyanine (Cy)3 or Cy5 dyes. cDNA was hybridized onto yeast microarray chips provided by the Genome Consortium for Active Teaching. Exposure to phthalate plasticizers revealed genes with differential gene expression. Trouble-shooting approaches were used as learning opportunities for the evaluation of RNA extraction methods, and data analysis highlighted the use of mathematics in a molecular biology context. This article describes a promising model for the introduction of interdisciplinary, student-based projects involving microarray technology at non-R1 undergraduate institutions.

Indexed as

Models, AnimalOligonucleotide Array Sequence AnalysisResearch DesignBiologyDNA, ComplementaryEducational MeasurementGene ExpressionHumansInterdisciplinary CommunicationRNA, MessengerYeastsDNA, ComplementaryRNA, Messenger

Identifiers

PMID18316815
PMCPMC2262120
OpenAlexW2105496380

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.