Results 41 to 50 of about 380,874 (247)

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

The Population Genetic Signature of Polygenic Local Adaptation

, 2014
Adaptation in response to selection on polygenic phenotypes may occur via subtle allele frequencies shifts at many loci. Current population genomic techniques are not well posed to identify such signals.
Berg, Jeremy J., Coop, Graham
core   +3 more sources

A worldwide correlation of lactase persistence phenotype and genotypes [PDF]

, 2010
Background: The ability of adult humans to digest the milk sugar lactose - lactase persistence - is a dominant Mendelian trait that has been a subject of extensive genetic, medical and evolutionary research.
Ingram, C.J.E., Itan, Y., Jones, B.L., Swallow, D.M., Thomas, M.G.   +4 more
core   +3 more sources

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

Molecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

Bridging the gap between omics and earth system science to better understand how environmental change impacts marine microbes [PDF]

, 2015
The advent of genomic-, transcriptomic- and proteomic-based approaches has revolutionized our ability to describe marine microbial communities, including biogeography, metabolic potential and diversity, mechanisms of adaptation, and phylogeny and ...
Alexander, Allen, Alvain, Ashworth, Baas-Becking, Bach, Barton, Behrenfeld, Behrenfeld, Behrenfeld, Bennett, Bihan, Bochdanovits, Bopp, Bowler, Boyd, Boyd, Boyle, Bruggeman, Buitenhuis, Buitenhuis, Buitenhuis, Button, Chappell, Coesel, Coleman, Collins, Corellou, Daines, Davis, Delong, Derelle, Deutsch, Dinsdale, Djouani-Tahri el, Doney, Draghi, Dufresne, Dutkiewicz, Edwards, Elena, Fabris, Follows, Follows, Franklin, Ghiglione, Gilbert, Gould, Hartmann, Hashioka, Hickman, Hillebrand, Hindle, Hof, Hood, House, Hutchins, Huysman, Hüner, Johnson, Juhas, Juranek, Kashtan, Kim, Kiorboe, Knoop, Kroeker, Krumholz, Ladau, Lanfear, Langer, Laws, Ley, Lindell, Litchman, Litchman, Loeuille, Lohbeck, Luo, Marchetti, Marinov, Martiny, Masotti, McKew, Mock, Monnier, Monteiro, Moore, Moulager, O'Neill, Oschlies, Patel, Piotrowski, Plummer, Poloczanaska, Quere, Raes, Ral, Raven, Raven, Raymond, Reed, Ridgwell, Riley, Rocap, Saito, Schaum, Schlichting, Schmidt, Shuter, Smetacek, Sorokina, Steuer, Stramma, Talmy, Taucher, Taylor, Thomas, Toseland, Traylor-Knowles, Troein, Vallino, Veluchamy, Via, Vogt, Vu, Webb, Wecker, Wijffels, Zinser   +129 more
core   +1 more source

Adenosine‐to‐inosine editing of miR‐200b‐3p is associated with the progression of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira, Anna Skwarska, Karolina Chwialkowska, Agnieszka Ostrowska, Gabriela Sokolowska, Anna Zeller, Anna Erol, Andrzej Eljaszewicz, Bartosz Hanczaruk, Anna Michalska‐Falkowska, Agnieszka Tarasik, Joanna Reszec‐Gielazyn, Pawel Knapp, Marcin Moniuszko, Adam Kretowski   +14 more
wiley   +1 more source

Ecological immunology of mosquito-malaria interactions: Of non-natural versus natural model systems and their inferences [PDF]

, 2009
There has been a recent shift in the literature on mosquito/Plasmodium interactions with an increasingly large number of theoretical and experimental studies focusing on their population biology and evolutionary processes.
Tripet, F
core   +1 more source

Virus Dynamics and Evolution: Bridging Scales and Disciplines

Viruses, 2011
Viruses have attracted the interest of researchers from multiple disciplines and have nucleated many productive and innovative collaborations. In part, this is because viruses so intimately associate with their hosts that decoupling host and virus ...
M. Poss
semanticscholar   +1 more source

Adaptaquin is selectively toxic to glioma stem cells through disruption of iron and cholesterol metabolism

Molecular Oncology, EarlyView.
Adaptaquin selectively kills glioma stem cells while sparing differentiated brain cells. Transcriptomic and proteomic analyses show Adaptaquin disrupts iron and cholesterol homeostasis, with iron chelation amplifying cytotoxicity via cholesterol depletion, mitochondrial dysfunction, and elevated reactive oxygen species.
Adrien M. Vaquié, Davod R. Shah, Eliane E. S. Brechbühl, Michael McNicholas, Zhaoyang Xu, John H. Stockley, Laura Morcom, Diana Gold Diaz, Gemma C. Girdler, Rachel V. Seear, Gabriel Balmus, Rajiv R. Ratan, Harry Bulstrode, James A. Nathan, Manav Pathania, Kevin M. Brindle, David H. Rowitch   +16 more
wiley   +1 more source

Adaptive evolution of molecular phenotypes

, 2014
Molecular phenotypes link genomic information with organismic functions, fitness, and evolution. Quantitative traits are complex phenotypes that depend on multiple genomic loci. In this paper, we study the adaptive evolution of a quantitative trait under
Armita Nourmohammad, Chernyak V Y, Crow J F, Falconer D S, Fisher R, Lynch M, Lynch M, Lynch M, Michael Lässig, Muller H J, Neher R A, Nourmohammad A, Nourmohammad A, Torsten Held   +13 more
core   +1 more source