ArticleMethods in molecular biology (Clifton, N.J.)2019
Generation and Identification of Genetically Modified Mice for BMP Receptors.
Article in Methods in molecular biology (Clifton, N.J.), 2019. 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
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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.
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Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Taste papilla cell differentiation requires the regulation of secretory protein production by ALK3-BMP signaling in the tongue mesenchyme.Development (Cambridge, England) · 2023Article
- Generation of a new mouse line with conditionally activated signaling through the BMP receptor, ACVR1: A tool to characterize pleiotropic roles of BMP functions.Genesis (New York, N.Y. : 2000) · 2021Article
- A new glioma grading model based on histopathology and Bone Morphogenetic Protein 2 mRNA expression.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
Abstract
BMP signaling is critical in embryogenesis and in the development of numerous tissues. Many genetically modified (knockout and transgenic) mice have been established to study BMP function in development and disease. Mice with altered BMP receptor genes (including global knockout, conditional knockout, and conditional constitutively active transgenic mouse lines) have been particularly informative. In this chapter, we describe how the genetically modified mice were generated and introduce genotyping methods. These methods include regular PCR and genomic real-time PCR using specific primers based on different constructs in different mice strains.
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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.