Evidence map›Paper›PMID 16943568›Full record

ArticleMolecular biotechnology2006

A platform of high-efficiency nonviral gene transfer in mouse osteoblast cells in vitro.

Weirong Xing, David Baylink, Anil Kapoor, Subburaman Mohan

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biotechnology, 2006. 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
0.3field-weighted citation impact, top 42% 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, 2 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

4 authors at 3 institutions in 1 country.

Weirong XingMusculoskeletal Disease Center, JL Pettis Memorial Veterans Administration Medical Center, Loma Linda University, Loma Linda, CA 92357, USA.
David Baylink
Anil Kapoor
Subburaman Mohan
Loma Linda University · USJerry L. Pettis Memorial VA Medical Center · USUnited States Department of Veterans Affairs · US

Funding

DETECTION OF THE SPONTANEOUS FRACTURE MOUSE MUTANT GENER01AG019698 · NIA · LOMA LINDA VETERANS ASSN RESEARCH &EDUC · PI MOHAN, SUBBURAMAN · 2001 to 2004
$1.0M
Development of Small Molecular Weight Inhibitors of Lrrk1 for Treatment of Osteoporosis.R21AR072831 · NIAMS · LOMA LINDA VETERANS ASSN RESEARCH & EDUC · PI XING, WEIRONG · 2018 to 2019
$355k
NIA NIH HHS AG19698
6 · The paper itself

Abstract

We have previously established mouse genetic models and identified the genetic components of quantitative trait loci (QTL) on mouse chromosomes that contribute to phenotypes such as bone size, bone density, and bone's anabolic response to mechanical loading. However, these regions contain dozens of unknown genes that are needed for functional testing. In this study, we provided a protocol of nucleoporation with high efficiency by using a commercial nucleofection buffer and Gene Pulser to deliver a test gene into bone cells for functional studies. We cloned an osteoblast differentiation-specific gene osterix (Osx) from a mouse bone cDNA library into a pHGCX expression vector and used nucleoporation to deliver pHGCX/ Flag-Osx into the nuclei of MC3T3-E1 cells. We then examined the transfection efficiency, transgene expression, and function. Our results have demonstrated that nucleoporation can deliver a transgene into MC3T3-E1 osteoblast cells with approx 94% transfection efficiency, and express a functional Flag-Osx fusion protein capable of inducing cell differentiation as measured by an increase in alkaline phosphatase (ALP) activity. Therefore, this experimental system provides a rapid, safe, and efficient cell-based model of high-throughput phenotypic screening to identify candidate genes from physically mapped regions that are important for osteoblast differentiation.

Indexed as

3T3 CellsAnimalsCell LineCell NucleusGenetic VectorsGene Transfer TechniquesMiceOsteoblastsTransfectionViruses

Identifiers

PMID16943568
OpenAlexW2089581363

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.