Results 141 to 150 of about 2,720,283 (280)

A Population Dynamic Model to Assess the Diabetes Screening and Reporting Programs and Project the Burden of Undiagnosed Diabetes in Thailand. [PDF]

Int J Environ Res Public Health, 2019
Mahikul W, White LJ, Poovorawan K, Soonthornworasiri N, Sukontamarn P, Chanthavilay P, Pan-Ngum W, Medley GF.   +7 more
europepmc   +1 more source

Exon 7 splicing of ERα predicts poor prognosis and increases phenotypic heterogeneity in luminal a subtype breast cancer

FEBS Open Bio, EarlyView.
ERα splice variant ERα∆7 lacks the C‐terminus, and its expression may change phenotypes of breast cancers. Our results showed that ERα∆7 is found in the luminal A subtype, and elevated ERα∆7 levels are linked to improved cell survival with lower proliferation and migration.
Long Wai Tsui, Taobo Hu, Thomson Christian Husein, Wai Hei Shek, Bingrong Chen, Depeng Wang, Shu Wang, Weichuan Yu, Xiaodan Fan, Mengping Long, Toyotaka Ishibashi   +10 more
wiley   +1 more source

Métodos estatísticos e estrutura espacial de populações: uma análise comparativa = Statistic methods and population spatial structure: a comparative analyses

Acta Scientiarum: Technology, 2006
O presente estudo teve por objetivo comparar os resultados de distribuição espacial obtidos entre os métodos clássicos e os métodos que estimam a variância entre parcelas. Foram analisadas duas espécies, Vernonia aurea e Duguetia furfuracea.
Matheus de Souza Lima-Ribeiro, Edno Cruz do Prado   +1 more
doaj  

Age and regional disparity in HIV education among migrants in China: migrants population dynamic monitoring survey, 2014-2015. [PDF]

Int J Equity Health, 2019
Zhu Z, Guo M, Petrovsky DV, Dong T, Hu Y, Wu B.   +5 more
europepmc   +1 more source

Matrix metalloproteinase‐9 regulates cell adhesion and membrane protrusive activity of ovarian cancer cells

FEBS Open Bio, EarlyView.
Matrix metalloproteinase‐9 (MMP9) drives ovarian cancer progression. Using MMP9‐null cells (M9‐KO) created from ovarian cancer cells, we found MMP9 loss did not block Epidermal Growth Factor (EGF)‐driven E‐cadherin dissolution or EMT but delayed and reduced EGF‐driven membrane protrusions. Transient MMP9 re‐expression drove membrane protrusion.
Claire Strauel, Sam Bennett, Natalie Ehlinger, Nelson Cook, Katelyn Marvin, Caleb L. Lines, Sam Reyes, Brooke Kirby, Shawn M. Ellerbroek   +8 more
wiley   +1 more source

Abiotic factors and population dynamic of Aedes aegypti and Aedes albopictus in an endemic area of dengue in Brazil. [PDF]

Rev Inst Med Trop Sao Paulo, 2019
Custódio JMO, Nogueira LMS, Souza DA, Fernandes MF, Oshiro ET, Oliveira EF, Piranda EM, Oliveira AG.   +7 more
europepmc   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

FEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Provincial and Age Disparity on Chronic Disease Education Among Migrants in China: The Migrants Population Dynamic Monitoring Survey. [PDF]

Inquiry, 2019
Guo M, Zhu Z, Dong T, Mi H, Mi H, Wu B.
europepmc   +1 more source

Large‐scale bidirectional arrayed genetic screens identify OXR1 and EMC4 as modifiers of αSynuclein aggregation

FEBS Open Bio, EarlyView.
Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane, Lea Nikolić, Lorenzo Maraio, Thomas Goiran, Nathan Karpilovsky, Stefano Sellitto, Vangelis Bouris, Jiang‐An Yin, Ronald Melki, Edward A Fon, Adriano Aguzzi, Elena De Cecco   +11 more
wiley   +1 more source

Inferring forest fate from demographic data: from vital rates to population dynamic models. [PDF]

Proc Biol Sci, 2018
Needham J, Merow C, Chang-Yang CH, Caswell H, McMahon SM.   +4 more
europepmc   +1 more source