Evidence map›Paper›PMID 24447069›Full record

ArticleTissue engineering. Part C, Methods2014

A polymerase chain reaction-based method for isolating clones from a complimentary DNA library in sheep.

Thor Einar Friis, Sally Stephenson, Yin Xiao, Jon Whitehead, Dietmar W Hutmacher

Open access · greenAbstract read
In one paragraph

Article in Tissue engineering. Part C, Methods, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 97% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Thor Einar Friis1 Regenerative Medicine Group, Institute of Health and Biomedical Innovation, Queensland University of Technology , Brisbane, Queensland, Australia .
Sally Stephenson
Yin Xiao
Jon Whitehead
Dietmar W Hutmacher
Queensland University of Technology · AUMater Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sheep (Ovis aries) is favored by many musculoskeletal tissue engineering groups as a large animal model because of its docile temperament and ease of husbandry. The size and weight of sheep are comparable to humans, which allows for the use of implants and fixation devices used in human clinical practice. The construction of a complimentary DNA (cDNA) library can capture the expression of genes in both a tissue- and time-specific manner. cDNA libraries have been a consistent source of gene discovery ever since the technology became commonplace more than three decades ago. Here, we describe the construction of a cDNA library using cells derived from sheep bones based on the pBluescript cDNA kit. Thirty clones were picked at random and sequenced. This led to the identification of a novel gene, C12orf29, which our initial experiments indicate is involved in skeletal biology. We also describe a polymerase chain reaction-based cDNA clone isolation method that allows the isolation of genes of interest from a cDNA library pool. The techniques outlined here can be applied in-house by smaller tissue engineering groups to generate tools for biomolecular research for large preclinical animal studies and highlights the power of standard cDNA library protocols to uncover novel genes.

Indexed as

Gene LibraryPolymerase Chain ReactionAnimalsBlotting, WesternCalcification, PhysiologicCell LineCells, CulturedCloning, MolecularDNA, ComplementaryFluorescent Antibody TechniqueHumansMandibleMicroscopy, ConfocalOsteoblastsSheepDNA, Complementary

Identifiers

PMID24447069
PMCPMC4186646
OpenAlexW1454367429

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.