Functional analysis of a novel ENU-induced PHD finger 11 (Phf11) mouse mutant.

Mamm Genome

Molecular Genetics and Genomics Group, Division of Respiratory Sciences, National Heart and Lung Institute, Imperial College London, Dovehouse Street, London, SW3 6LY, UK,

Published: December 2014

Previously, human genetic studies have shown association between polymorphisms within the gene encoding plant homeodomain zinc finger protein 11 (PHF11) and asthma-related phenotypes. Initial functional studies have suggested that PHF11 may be involved in the immune response through regulation of T cell activities. In order to study further the gene's functions, we have investigated the mouse Phf11 locus. We have established and characterised a mouse line harbouring a point mutation in the PHD domain of Phf11. Full-length mouse cDNA for Phf11 was obtained by applying rapid amplification of cDNA ends (RACE). All five exons encoding the PHD domain of Phf11 were directly sequenced in 3840 mouse DNA samples from the UK MRC Harwell ENU (N-ethyl-N-nitrosourea)-mutagenised DNA archive. Mice harbouring a valine to alanine substitution, predicted to have a significant functional impact on the PHD zinc finger domain, were re-derived. These Phf11 mutant mice were outcrossed to C3H mice and then backcrossed for ten generations in order to establish a congenic line harbouring the single point mutation in Phf11. Macroscopic examination, haematology and histological examination of lung structure revealed no significant differences between mutant and wild-type mice. After administration of lipopolysaccharide, the level of expression of Il2, NF-kB and Setdb2 were significantly increased in Phf11 mutant homozygous lungs compared to control littermates. Our results provide evidence that Phf11 can operate as a Th1 cell regulator in immune responses. Moreover, our data indicate that these mice may provide a useful model for future studies on Phf11.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4239810PMC
http://dx.doi.org/10.1007/s00335-014-9535-xDOI Listing

Publication Analysis

Top Keywords

phf11
12
zinc finger
8
point mutation
8
phd domain
8
domain phf11
8
phf11 mutant
8
mouse
5
mice
5
functional analysis
4
analysis novel
4

Similar Publications

To demonstrate the efficacy of machine learning models in predicting mortality in melanoma cancer, we developed an interpretability model for better understanding the survival prediction of cancer. To this end, the optimal features were identified, ten different machine learning models were utilized to predict mortality across various datasets. Then we have utilized the important features identified by those machines learning methods to construct a new model named NKECLR to forecast mortality of patient with cancer.

View Article and Find Full Text PDF

Long noncoding RNA (lncRNAs) are involved in the pathogenesis of ulcerative colitis (UC). Moxibustion, a traditional Chinese medicine, can improve symptoms in patients with UC and reduce intestinal inflammation in rats with UC. However, it remains unclear whether the ameliorative effect of moxibustion on intestinal mucosal inflammation in UC is related to lncRNAs.

View Article and Find Full Text PDF

Endometriosis (EMS) is a prevalent disease and the etiologies has not uniform. Microbiota is associated with human diseases. To delve into the relationship between EMS and microbiota, Ectopic (EM) and eutopic (EU) endometrial tissues, pharyngeal swabs, and stools were collected from EMS patients.

View Article and Find Full Text PDF

Glycolysis-Metabolism-Related Prognostic Signature for Ewing Sarcoma Patients.

Mol Biotechnol

October 2024

Orthopedic Surgery 2nd, The Fifth People's Hospital of Jinan, No. 24297 Jingshi Road, Huaiyin District, Jinan, 250000, Shandong, People's Republic of China.

Ewing sarcoma (EwS) is a malignant sarcoma which occurs in bone and soft tissues commonly happening in children with poor survival rates. Changes in cell metabolism, such as glycolysis, may provide the environment for the transformation and progression of tumors. We aimed to build a model to predict prognosis of EwS patients based on glycolysis and metabolism genes.

View Article and Find Full Text PDF

Identification of the prognostic signature based on genomic instability-related alternative splicing in colorectal cancer and its regulatory network.

Front Bioeng Biotechnol

July 2022

Centre for Lipid Research, Key Laboratory of Molecular Biology for Infectious Diseases, Ministry of Education, Department of Infectious Diseases, Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.

Colorectal cancer (CRC) is a heterogeneous disease with many somatic mutations defining its genomic instability. Alternative Splicing (AS) events, are essential for maintaining genomic instability. However, the role of genomic instability-related AS events in CRC has not been investigated.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!