<scp>TGF</scp>‐β cascade regulation by <scp>PPP</scp>1 and its interactors –impact on prostate cancer development and therapy

Korrodi‐Gregório, Luís; Silva, Joana Vieira; Santos‐Sousa, Luís; Freitas, Maria João; Felgueiras, Juliana; Fardilha, Margarida

doi:10.1111/jcmm.12266

Cited by 20 publications

(14 citation statements)

References 154 publications

(221 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…MTMR4 (target for hsa-miR-140-5p and hsa-miR-214-3p) and PPP1CB (target for hsa-miR-140-5p and hsa-miR-191-5p) indicate a possible association with Transforming Growth Factor (TGF)-β signaling pathway, which in term plays a significant role in TAAs [70,71]. In particular, MTMR4 and PPP1C interact and de-phosphorylate SMAD2/3 complex and TGF-β receptor of this pathway, respectively and thus control its effects downstream.…”

Section: Discussionmentioning

confidence: 99%

MicroRNAs in ascending thoracic aortic aneurysms

et al. 2020

View full text Add to dashboard Cite

Thoracic Aortic Aneurysm (TAA) is characterized by the dilation of the aorta and is fatal if not diagnosed and treated appropriately. The underlying genetic mechanisms have not been completely delineated so better knowledge of the physiopathology of TAAs is needed to improve detection and therapy. MicroRNAs regulate gene expression post-transcriptionally and are known to be involved in cardiovascular diseases. The current study aimed to identify miRNAs that can be used as possible biomarkers for the early diagnosis of patients with ascending TAAs (ATAAs). MicroRNA expression was profiled by NanoString nCounter technology using 12 samples including tissue and pre- and post-surgical plasma from ATAA patients. Four miRNAs were selected and further validated by RT-PCR in 22 plasma samples from which three miRNAs (hsa-miR140-5p, hsa-miR-191-5p and hsa-miR-214-3p) showed significant expression level differences between the two types of plasma samples. Further analyses of the corresponding predicted target genes by these miRNAs, revealed two genes (MTMR4, and PPP1CB) whose expression was inversely correlated with the expression of their respective miRNAs. Overall, in this pilot study, we identified three miRNAs that might serve as potential biomarkers and therapeutic targets in ATAA.

show abstract

Section: Discussionmentioning

confidence: 99%

MicroRNAs in ascending thoracic aortic aneurysms

et al. 2020

View full text Add to dashboard Cite

show abstract

“…This potentially damaging variant, c.733T> C, was observed in a boy with a diagnosis of Asperger Syndrome and was transmitted from a mother who suffered from learning disabilities and seizures [28]. Protein phosphorylation is a key mechanism by which cells regulate transduction pathways and PPP1 family enzymes are associated with dephosphorylation of several proteins such as TGF-b cascade [29].…”

Section: Resultsmentioning

confidence: 99%

Transcriptional Network Analysis on Brains Reveals a Potential Regulatory Role of PPP1R3F in Autism Spectrum Disorders

Torshizi

Duan

Wang

2018

Preprint

View full text Add to dashboard Cite

Objective: This study aims at identifying master regulators of transcriptional networks in autism spectrum disorders (ASDs). Results:With two sets of independent RNA-Seq data generated on cerebellum from patients with ASDs and control subjects (N=39 and 45 for set 1, N=24 and 38 for set 2, respectively), we carried out a network deconvolution of transcriptomic data, followed by virtual protein activity analysis. We identified PPP1R3F (Protein Phosphatase 1 Regulatory Subunit 3F) as a master regulator affecting a large body of downstream genes that are associated with the disease phenotype. Pathway enrichment analysis on the identified targets of PPP1R3F in both datasets indicated alteration of endocytosis pathway. This exploratory analysis is limited by sample size, but it illustrates a successful application of network deconvolution approaches in the analysis of brain gene expression data and generates a hypotheses that may be further validated by large-scale studies in the future.

show abstract

“…PPP1R3F is one of the type-1 protein phosphatase (PP1) regulatory subunits. Protein phosphorylation is a key mechanism by which cells regulate signaling transduction pathways, and PPP1 family enzymes are associated with dephosphorylation of several proteins such as TGF-ß cascade [ 35 ]. PPP1R3F has been found to be important to neuronal activities [ 36 ].…”

Section: Resultsmentioning

confidence: 99%

Transcriptional network analysis on brains reveals a potential regulatory role of PPP1R3F in autism spectrum disorders

2018

View full text Add to dashboard Cite

ObjectiveThis study aims at identifying master regulators of transcriptional networks in autism spectrum disorders (ASDs).ResultsWith two sets of independent RNA-Seq data generated on cerebellum from patients with ASDs and control subjects (N = 39 and 45 for set 1, N = 24 and 38 for set 2, respectively), we carried out a network deconvolution of transcriptomic data, followed by virtual protein activity analysis. We identified PPP1R3F (Protein Phosphatase 1 Regulatory Subunit 3F) as a candidate master regulator affecting a large body of downstream genes that are associated with the disease phenotype. Pathway analysis on the identified targets of PPP1R3F in both datasets indicated alteration of endocytosis pathway. Despite a limited sample size, our study represents one of the first applications of network deconvolution approach to brain transcriptomic data to generate hypotheses that may be further validated by large-scale studies.Electronic supplementary materialThe online version of this article (10.1186/s13104-018-3594-0) contains supplementary material, which is available to authorized users.

show abstract

TGF‐β cascade regulation by PPP1 and its interactors –impact on prostate cancer development and therapy

Cited by 20 publications

References 154 publications

MicroRNAs in ascending thoracic aortic aneurysms

MicroRNAs in ascending thoracic aortic aneurysms

Transcriptional Network Analysis on Brains Reveals a Potential Regulatory Role of PPP1R3F in Autism Spectrum Disorders

Transcriptional network analysis on brains reveals a potential regulatory role of PPP1R3F in autism spectrum disorders

Contact Info

Product

Resources

About