Recombinant Human Protein Phosphatase Methylesterase 1 PPME1
- Known as:
- Recombinant Human Protein Phosphatase Methylesterase 1 PPME1
- Catalog number:
- enz-155
- Product Quantity:
- 5
- Category:
- -
- Supplier:
- Prospecbio
- Gene target:
- Recombinant Human Protein Phosphatase Methylesterase 1 PPME1
Related genes to: Recombinant Human Protein Phosphatase Methylesterase 1 PPME1
- Gene:
- PPME1 NIH gene
- Name:
- protein phosphatase methylesterase 1
- Previous symbol:
- -
- Synonyms:
- PME-1, ABDH19
- Chromosome:
- 11q13.4
- Locus Type:
- gene with protein product
- Date approved:
- 2005-11-18
- Date modifiied:
- 2019-01-28
Related products to: Recombinant Human Protein Phosphatase Methylesterase 1 PPME1
Related articles to: Recombinant Human Protein Phosphatase Methylesterase 1 PPME1
- Calf health is becoming an increasingly important consideration for genetic selection in modern dairy cattle. However, the impact of calf diseases on other economically important traits and the genetic architecture underlying these traits remain poorly understood. This study aimed to (1) determine the impact of including calf disease traits into Canadian national genetic evaluation by estimating genetic and phenotypic correlations with other economically important traits, and (2) conduct a genome-wide association study and functional analysis to identify and understand genomic regions associated with calf disease traits in Holstein breed. The majority of genetic correlation estimates between calf diseases and other economically important traits were close to zero. However, notable correlations were found between respiratory problems and both fertility traits and clinical mastitis, which showed a favorable relationship. Similarly, estimated phenotypic correlations were generally small, suggesting limited phenotypic impact of calf disease on later life performance. These results highlight the importance of including calf disease traits within national evaluations to ensure improvements can be made on the genetic level. From the genome-wide association study, 17 single nucleotide polymorphisms (SNP) across 5 chromosomes were significantly associated with diarrhea, and 20 SNP across 5 chromosomes were significantly associated with respiratory problems. The enrichment analysis revealed 7 candidate genes that were co-localized with the SNP significantly associated with diarrhea (ACER3, CAPN5, ILK, LIPT2, PGM2L1, and PPME1). For respiratory problems, the enrichment analysis revealed 4 candidate genes that were co-localized with the significant SNP (SYNPO, DCTN4, ANXA6, and MYOZ3). Several potential candidate genes were identified, although further work is required to determine the exact association between identified genes and calf disease traits. - Source: PubMed
Publication date: 2026/04/03
Lynch CMakanjuola B OSchenkel F SMiglior FKelton DBaes C F - The Protein Phosphatase Methylesterase 1 (PPME1) is a methylesterase specific to phosphatase 2A, a tumor suppressor, and plays a key role in tumor development. Its impact on pan-cancer diagnosis, prognosis, and immune regulation is still uncertain. - Source: PubMed
Publication date: 2026/03/10
Wang YiyangZhang YueLi YongxiangMa HaotianZhao JiaweiIsmtula DilimulatiGuo Chenming - Host-microbe interactions are increasingly recognized as an important module to understand disease progression and potential treatment strategies. Increasing evidence points to the microbiome's ability to modulate host gene expression, and thereby influencing host physiology. By integrating dual RNA sequencing with machine learning, we uncover how transcriptionally active microbes (TAMs) may influence host genes involved in immune and metabolic functions in the hospital admitted dengue patients. Towards this, we analyzed 112 whole transcriptomes from the blood samples of patients with differential dengue disease severity. Using a machine learning-based integrated host-microbial transcriptomic analysis framework, combining Lasso regression and sparse canonical correlation analysis (SCCA), we identified both shared and disease-specific associations between the microbes and the host transcriptomic pathways. Notably, opportunistic microbes such as Acetobacter-ghanensis, Achromobacter sp. B7, Bacillus licheniformis, and Clostridium cochlearium, along with the host genes, namely, PPME1, TIMP2, NLRC4, and RhoB, were associated with immune dysregulation in the severe dengue patients. These microbes and genes appear to influence pathophysiology through distinct molecular pathways, highlighting their disease-specific roles in host-microbe interactions. - Source: PubMed
Publication date: 2025/12/19
Kumari PallawiDevi PritiBanerjee BasudhaTarai BansidharBudhiraja SandeepSethi Tav PriteshPandey Rajesh - In the elderly population, coronary heart disease (CHD) often coexists with hypertension. However, excessive blood pressure reduction can paradoxically increase the incidence of adverse events. Understanding the molecular mechanisms underlying hypertension and CHD in aged populations is crucial for developing targeted therapies and improving clinical outcomes. In this study, we constructed myocardial infarction (MI) and transverse aortic constriction (TAC) modelsY in aged mice to simulate the disease states of CHD and hypertension, respectively. Using integrated proteomic and phosphoproteomic analyses, we investigated the molecular signatures associated with MI and TAC in these models. Our aim was to identify key molecules involved in these conditions and to understand their unique and shared characteristics. Through our comprehensive proteomic and phosphoproteomic analysis, we identified a total of 1583 proteins and 232 phosphorylated proteins. We observed significant upregulation of heart disease markers such as Myh7, Xirp2, and Acta1, indicating the successful establishment of the MI and TAC models. The overlapped differentially expressed proteins (DEPs) and differentially phosphorylated proteins (DPPs) in MI and TAC were involved in heart failure-related processes including cardiac muscle contraction and hypertrophic cardiomyopathy, further supporting the validity of the models. Among the DEPs, Ppme1 was upregulated in the TAC model but downregulated in the MI model, while Sec31a and Gm56451 displayed the opposite expression patterns. Among the DPPs, Ablim1 and Atp2a2 were found to be significantly upregulated in the TAC model, whereas their expression was markedly reduced in the MI model. In addition, five other DPPs, including REV_Q3TAY5, Cbx3, PITPNB, Eif4b, and A0A1Y7VP73, were elevated in the MI model but decreased in the TAC model. In conclusion, these findings suggest that MI and TAC not only share certain molecular features but also retain their unique characteristics, providing potential biomarkers and therapeutic targets. - Source: PubMed
Publication date: 2024/10/28
Lin FangDing YueLiang Xiaoting - While organ-confined prostate cancer (PCa) is mostly therapeutically manageable, metastatic progression of PCa remains an unmet clinical challenge. Resistance to anoikis, a form of cell death initiated by cell detachment from the surrounding extracellular matrix, is one of the cellular processes critical for PCa progression towards aggressive disease. Therefore, further understanding of anoikis regulation in PCa might provide therapeutic opportunities. Here, we discover that PCa tumours with concomitant inhibition of two tumour suppressor phosphatases, PP2A and PTEN, are particularly aggressive, having < 50% 5-year secondary-therapy-free patient survival. Functionally, overexpression of PME-1, a methylesterase for the catalytic PP2A-C subunit, inhibits anoikis in PTEN-deficient PCa cells. In vivo, PME-1 inhibition increased apoptosis in in ovo PCa tumour xenografts, and attenuated PCa cell survival in zebrafish circulation. Molecularly, PME-1-deficient PC3 cells display increased trimethylation at lysines 9 and 27 of histone H3 (H3K9me3 and H3K27me3), a phenotype known to correlate with increased apoptosis sensitivity. In summary, our results demonstrate that PME-1 supports anoikis resistance in PTEN-deficient PCa cells. Clinically, these results identify PME-1 as a candidate biomarker for a subset of particularly aggressive PTEN-deficient PCa. - Source: PubMed
Publication date: 2023/04/18
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