Results 171 to 180 of about 12,341,256 (312)

APOBEC3 activity and DNA polymerase‐ε deficiency are associated with distinct IDH1 R132 hotspot mutations

Molecular Oncology, EarlyView.
Isocitrate dehydrogenase 1 (IDH1) mutations are highly recurrent in multiple human cancer types, including cholangiocarcinoma and glioma. IDH1 R132C is the most common IDH1 mutation in cholangiocarcinoma and likely arises from APOBEC3A‐ or APOBEC3B‐mediated deamination.
Kelly E. Butler, Bilal A. Lone, Ecem Unal, A. Rouf Banday   +3 more
wiley   +1 more source

Genomic and statistical models to characterize <i>Streptococcus pneumoniae</i> transmission patterns in Malawi. [PDF]

Microb Genom
Cave R, Chirombo J, Obolski U, Belman S, Kalizang'oma A, Mwalukomo TS, Kamng'ona A, Brown C, Msefula J, Bonomali F, Nyirenda R, Swarthout TD, Kwambana-Adams B, French N, Heyderman RS.   +14 more
europepmc   +1 more source

p190A/ARHGAP35 and p190B/ARHGAP5 proteins in endometrial cancer: a novel cancer‐relevant paralog interplay

Molecular Oncology, EarlyView.
This study identifies ARHGAP5, in addition to the frequently mutated ARHGAP35, as significantly mutated in endometrial cancer. Mutations in both genes co‐occur and are associated with their correlated downregulation. Functional CRISPR studies show that both paralogs regulate similar pathways, including actin cytoskeleton organization.
Mathilde Pinault, Capucine Heraud, Mélissa Correia de Oliveira, Véronique Neaud, Valérie Valesco, Valérie Prouzet‐Mauleon, Béatrice Turcq, Jean‐William Dupuy, Anne‐Aurélie Raymond, Sabrina Croce, Frédéric Saltel, Valérie Lagrée, Violaine Moreau   +12 more
wiley   +1 more source

Exploring hemodynamic measurements from the Tromsø Study for prediction of cardiovascular disease using traditional statistical models and machine learning approaches. [PDF]

Sci Rep
Azulay N, Singstad BJ, Schirmer H, Løchen ML, Olsen RB, Jenssen TG, Stubhaug A, Nielsen CS, Rosseland LA, Tronstad C.   +9 more
europepmc   +1 more source

Statistical Analysis of Markov Switching DSGE Models

, 2018
We investigate statistical properties of Markov switching Dynamic Stochastic General Equilibrium (MS DSGE) models: L2 structure, stationarity, autocovariance function, and spectral ...
Maddalena Cavicchioli
core  

Extracellular matrix remodeling and immune reprogramming drive residual tumor progression of liver cancer after incomplete microwave ablation

Molecular Oncology, EarlyView.
Incomplete microwave ablation (iMWA) of liver cancer triggers a biphasic progression in residual tumors. At Day 3, the microenvironment is characterized by acute inflammatory responses and extracellular matrix (ECM) remodeling. By Day 14, a profound shift occurs toward oncogenic signal transduction and immunosuppression, marked by macrophage ...
Yu Liu, Yubei He, Nikolaus Berndt, Michael Mülleder, Kathrin Textoris‐Taube, Jing Guo, Matthias Stechele, Justus Ramtke, Shraga Nahum Goldberg, Lynn Jeanette Savic   +9 more
wiley   +1 more source

Aligning statistical models with inference goals in the neuroscience of language: A dual-dependency taxonomy. [PDF]

Imaging Neurosci (Camb)
Bouton S, Chambon V, Golestani N, Formisano E, Proix T, Giraud AL.   +5 more
europepmc   +1 more source

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

Molecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso, Md Shohel Ul Islam, Rosa M Xicola, Raj Ramesar, Xavier Llor, Sinclair Steele   +5 more
wiley   +1 more source

Advanced statistical models to handle response styles and uncertainty when modelling emotional intelligence of elite swimmers. [PDF]

Sci Rep
Berger M, Fabbricatore R, Iannario M, Schauberger G.   +3 more
europepmc   +1 more source

SPHINX31 acts as a SRPK1 inhibitor targeting the ATR/DNA‐PKcs/CHK1 replicative checkpoint to inhibit cell growth in non‐small cell lung cancer

Molecular Oncology, EarlyView.
The kinase SRPK1 directly interacts with the protein TOPBP1 and regulates the pre‐mRNA splicing of WIZ thereby contributing to the activation of the ATR/CHK1 replicative checkpoint in response to replicative stress. This allows cancer cells' genomic stability and survival.
Amani Shreim, Aurelie Genoux, Nadiia Zubchuk, Haoyang Zheng, Perla Salameh, Theo Ziegelmeyer, Fabien Dalonneau, Margot Rouchette, Christiane Oddou, Simona Miron, Helene Polveche, Adiilah Mamode Cassim, Carmen Garrido, Eleni Nikolakaki, Didier Auboeuf, Tao Jia, Sophie Zinn‐Justin, Beatrice Eymin   +17 more
wiley   +1 more source