Cargando…

γ-Secretase Components as Predictors of Breast Cancer Outcome

γ-secretase is a large ubiquitously expressed protease complex composed of four core subunits: presenilin, Aph1, PEN-2, and nicastrin. The function of γ-secretase in the cells is to proteolytically cleave various proteins within their transmembrane domains. Presenilin and Aph1 occur as alternative v...

Descripción completa

Detalles Bibliográficos
Autores principales:	Peltonen, Hanna M., Haapasalo, Annakaisa, Hiltunen, Mikko, Kataja, Vesa, Kosma, Veli-Matti, Mannermaa, Arto
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2013
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3815159/ https://www.ncbi.nlm.nih.gov/pubmed/24223915 http://dx.doi.org/10.1371/journal.pone.0079249

Ejemplares similares

Overexpression of MicroRNA-200c Predicts Poor Outcome in Patients with PR-Negative Breast Cancer
por: Tuomarila, Marie, et al.
Publicado: (2014)

SULT1A1 rs9282861 polymorphism-a potential modifier of efficacy of the systemic adjuvant therapy in breast cancer?
por: Tengström, Maria, et al.
Publicado: (2012)

Transcription factors zeb1, twist and snai1 in breast carcinoma
por: Soini, Ylermi, et al.
Publicado: (2011)

Low expression levels of hepsin and TMPRSS3 are associated with poor breast cancer survival
por: Pelkonen, Mikko, et al.
Publicado: (2015)

Type II Transmembrane Serine Protease Gene Variants Associate with Breast Cancer
por: Luostari, Kaisa, et al.
Publicado: (2014)

High Cell-Free DNA Integrity Is Associated with Poor Breast Cancer Survival
por: Lamminaho, Maria, et al.
Publicado: (2021)

Increased γ-Secretase Activity in Idiopathic Normal Pressure Hydrocephalus Patients with β-Amyloid Pathology
por: Laiterä, Tiina, et al.
Publicado: (2014)

Predicting breast cancer risk using interacting genetic and demographic factors and machine learning
por: Behravan, Hamid, et al.
Publicado: (2020)

The debatable presence of PIWI‐interacting RNAs in invasive breast cancer
por: Kärkkäinen, Emmi, et al.
Publicado: (2021)

Nuclei instance segmentation from histopathology images using Bayesian dropout based deep learning
por: Gudhe, Naga Raju, et al.
Publicado: (2023)

Expression profiles of small non-coding RNAs in breast cancer tumors characterize clinicopathological features and show prognostic and predictive potential
por: Kärkkäinen, Emmi, et al.
Publicado: (2022)

High mutation burden of circulating cell‐free DNA in early‐stage breast cancer patients is associated with a poor relapse‐free survival
por: Kujala, Jouni, et al.
Publicado: (2020)

Circulating Cell-Free DNA Reflects the Clonal Evolution of Breast Cancer Tumors
por: Kujala, Jouni, et al.
Publicado: (2022)

XRCC1 and XPD genetic polymorphisms, smoking and breast cancer risk in a Finnish case-control study
por: Metsola, Katja, et al.
Publicado: (2005)

Area-based breast percentage density estimation in mammograms using weight-adaptive multitask learning
por: Gudhe, Naga Raju, et al.
Publicado: (2022)

Machine learning identifies interacting genetic variants contributing to breast cancer risk: A case study in Finnish cases and controls
por: Behravan, Hamid, et al.
Publicado: (2018)

Twist and snai1 expression in pharyngeal squamous cell carcinoma stroma is related to cancer progression
por: Jouppila-Mättö, Anna, et al.
Publicado: (2011)

Histone demethylase GASC1 - a potential prognostic and predictive marker in invasive breast cancer
por: Berdel, Bozena, et al.
Publicado: (2012)

Synaptic dysfunction and septin protein family members in neurodegenerative diseases
por: Marttinen, Mikael, et al.
Publicado: (2015)

Nuclear expression of Snail1 in borderline and malignant epithelial ovarian tumours is associated with tumour progression
por: Tuhkanen, Hanna, et al.
Publicado: (2009)

Multi-level dilated residual network for biomedical image segmentation
por: Gudhe, Naga Raju, et al.
Publicado: (2021)

Peritumor to tumor apparent diffusion coefficient ratio is associated with biologically more aggressive breast cancer features and correlates with the prognostication tools
por: Okuma, Hidemi, et al.
Publicado: (2020)

The cytotoxicity of γ-secretase inhibitor I to breast cancer cells is mediated by proteasome inhibition, not by γ-secretase inhibition
por: Han, Jianxun, et al.
Publicado: (2009)

Structure of the transmembrane domain of human nicastrin-a component of γ-secretase
por: Li, Yan, et al.
Publicado: (2016)

Substrate docking to γ-secretase allows access of γ-secretase modulators to an allosteric site
por: Uemura, Kengo, et al.
Publicado: (2010)

Bepridil decreases Aβ and calcium levels in the thalamus after middle cerebral artery occlusion in rats
por: Sarajärvi, Timo, et al.
Publicado: (2012)

Presenilin/γ-Secretase and Inflammation
por: Saura, Carlos A.
Publicado: (2010)

γ-Secretase in Alzheimer’s disease
por: Hur, Ji-Yeun
Publicado: (2022)

C9orf72 Proteins Regulate Autophagy and Undergo Autophagosomal or Proteasomal Degradation in a Cell Type-Dependent Manner
por: Leskelä, Stina, et al.
Publicado: (2019)

The Alzheimer’s disease-associated protective Plcγ2-P522R variant promotes immune functions
por: Takalo, Mari, et al.
Publicado: (2020)

γ-Secretase modulators exhibit selectivity for modulation of APP cleavage but inverse γ-secretase modulators do not
por: Lessard, Christian B., et al.
Publicado: (2020)

γ‐Secretase modulators show selectivity for γ‐secretase–mediated amyloid precursor protein intramembrane processing
por: Weber, Tobias A., et al.
Publicado: (2021)

Structure-function relationship of γ-secretase
por: Tomita, Taisuke
Publicado: (2012)

The dynamic conformational landscape of γ-secretase
por: Elad, Nadav, et al.
Publicado: (2015)

Presenilins and γ-Secretase in Membrane Proteostasis
por: Oikawa, Naoto, et al.
Publicado: (2019)

Peroxiredoxin I regulates the component expression of γ-secretase complex causing the Alzheimer's disease
por: Lee, Young Ju, et al.
Publicado: (2011)

Complex Relationships between Substrate Sequence and Sensitivity to Alterations in γ-Secretase Processivity Induced by γ-Secretase Modulators
por: Jung, Joo In, et al.
Publicado: (2014)

A FinnGen pilot clinical recall study for Alzheimer’s disease
por: Julkunen, Valtteri, et al.
Publicado: (2023)

FANCM c.5101C>T mutation associates with breast cancer survival and treatment outcome
por: Kiiski, Johanna I., et al.
Publicado: (2016)

Regulation of key proteins in Alzheimer’s disease molecular pathogenesis by ubiquilin-1
por: Takalo, Mari, et al.
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_v3r668g60c7nbd43qnkh47ipdk