ReviewTransgenic research2007
Efficient quantitative morphological phenotyping of genetically altered organisms using stereology.
Review in Transgenic research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed, 10 citations in OpenAlex.
- Identification of siRNA delivery enhancers by a chemical library screen.Nucleic acids research · 2015Article
- Low-level gestational lead exposure increases retinal progenitor cell proliferation and rod photoreceptor and bipolar cell neurogenesis in mice.Environmental health perspectives · 2011Article
- Mutation of the PDK1 PH domain inhibits protein kinase B/Akt, leading to small size and insulin resistance.Molecular and cellular biology · 2008Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genetically modified organisms present the challenge of quantifying structures and functions in organs, tissues and cells. Morphological investigation is greatly facilitated by taking sections in MRI, CAT scanning, histological preparations or EM, and powerful unbiased quantitative tools called stereology can use these sections in a sampling based approach to measure volume, number surface and length. Stereological tools have become methods of choice in the fields of neurobiology, nephrology and cell biology and allow accurate unbiased description of intact organs, tissues, cells and organelles. Stereology has yet to be applied widely in the field of transgenics. Here I provide an overview of stereological methods and explain how they represent a powerful addition to the transgenic biologists armoury of techniques.
Indexed as
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What OpenQuestion holds
Registered trials
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.