Results 131 to 140 of about 1,449,532 (381)

Cell‐free DNA aneuploidy score as a dynamic early response marker in prostate cancer

Molecular Oncology, EarlyView.
mFast‐SeqS‐based genome‐wide aneuploidy scores are concordant with aneuploidy scores obtained by whole genome sequencing from tumor tissue and can predict response to ARSI treatment at baseline and, at an early time point, to ARSI and taxanes. This assay can be easily performed at low cost and requires little input of cfDNA. Cell‐free circulating tumor
Khrystany T. Isebia, Anouk C. de Jong, Lisanne F. van Dessel, Vanja de Weerd, Corine Beaufort, Jean Helmijr, José Alberto Nakauma‐González, Job van Riet, Paul Hamberg, Daniel Vis, Michiel S. van der Heijden, Nick Beije, Martijn P. Lolkema, Teoman Deger, Saskia M. Wilting, Ronald de Wit, Maurice P. H. M. Jansen, John W. M. Martens   +17 more
wiley   +1 more source

A Method Suggestion Through National Architecture Exhibition For Evaluation of Turkish Architecture Periodically

Megaron, 2020
Beyond designing space, architecture is a versatile field which is influenced from physical, social and cultural environment, from people and their needs.
Selin Karaibrahimoğlu, Ayhan Usta
doaj   +1 more source

Facilitating informed choice about non-invasive prenatal testing (NIPT): a systematic review and qualitative meta-synthesis of women’s experiences

BMC Pregnancy and Childbirth, 2019
BackgroundNon-invasive prenatal testing (NIPT) can be used to accurately detect fetal chromosomal anomalies early in pregnancy by assessing cell-free fetal DNA present in maternal blood.
A. Cernat, Chanté De Freitas, Umair Majid, Forum Trivedi, C. Higgins, M. Vanstone   +5 more
semanticscholar   +1 more source

The genomes of two key bumblebee species with primitive eusocial organization [PDF]

, 2015
Background: The shift from solitary to social behavior is one of the major evolutionary transitions. Primitively eusocial bumblebees are uniquely placed to illuminate the evolution of highly eusocial insect societies.
Amdam, Gro V., Antonio, David S. Marco, Aqrawi, Peshtewani K., Asher, Claire, Barribeau, Seth M., Beckers, Matthew, Bennett, Anna K., Beye, Martin, Biewer, Matthias, Bitondi, Márcia M. G., Blankenburg, Kerstin P., Blaxter, Mark L., Bloch, Guy, Blommaert, Julie, Bornberg-Bauer, Erich, Bourke, Andrew F. G., Brown, Mark J. F., Buechel, Severine D., Cameron, Rossanah, Cappelle, Kaat, Carolan, James C., Chipman, Ariel D., Chittka, Lars, Christiaens, Olivier, Ciborowski, Kate L., Clarke, David F., Colgan, Thomas J., Collins, David H., Coyle, Marcus, Cridge, Andrew G., Câmara, Francisco, Dalmay, Tamas, de Graaf, Dirk C., Dearden, Peter, Debyser, Griet, Devreese, Bart, Dreier, Stephanie, du Plessis, Louis, Duncan, Elizabeth, Elsik, Christine G., Erler, Silvio, Evans, Jay, Falcon, Tiago, Flores, Kevin, Fouks, Bertrand, Francisco, Liezl, Freitas, Flávia C. P., Fuchikawa, Taro, Gadau, Jürgen, Gempe, Tanja, Gibbs, Richard A., Grimmelikhuijzen, Cornelis J. P., Guigó, Roderic, Hartfelder, Klaus, Hasselmann, Martin, Hauser, Frank, Helbing, Sophie, Hernandez, Alvaro G., Hoff, Katharina, Holder, Michael, Hudson, Matthew E., Humann, Fernanda C., Irvine, Frano, Jackson, Laronda, Jayaseelan, Joy, Jermiin, Lars S., Johnson, Claire E., Johnson, Reed M., Jones, Andrew K., Joshi, Vandita, Kadowaki, Tatsuhiko, Kidner, Jonathan H., Klasberg, Steffen, Koch, Vasco, Kovar, Christie, Kraus, F Bernhard, Köhler, Arian, Lattorff, H. Michael G., Leask, Megan, Lee, Sandra L., Liu, Jisheng, Lockett, Gabrielle A., Lozier, Jeffrey D., Mallon, Eamonn B., Mariotti, Marco, Marxer, Monika, Mata, Robert, Mathew, Tittu, Meeus, Ivan, Moritz, Robin F. A., Munoz-Torres, Monica, Murphy, Terence, Muzny, Donna M., Nair, Ajay, Newsham, Irene F., Ngo, Robin, Nissen, Inga, Niu, Jinzhi, Nunes, Francis M. F., Näpflin, Kathrin, O'Neill, Meaghan P., Oakeshott, John G., Okwuonu, Geoffrey, Osborne, Amy, Otte, Marianne, Pham, Christopher, Pinheiro, Daniel G., Pu, Ling-Ling, Puiu, Daniela, Qu, Jiaxin, Richards, Stephen, Robertson, Hugh M., Robinson, Gene E., Rossié, Nina, Rueppell, Olav, Saada, Nehad, Sadd, Ben M., Salzberg, Steven L., Santesmasses, Didac, Santibanez, Jireh, Santos, Carolina G., Scherer, Steven E., Schmid-Hempel, Paul, Schmid-Hempel, Regula, Schmitt, Björn D., Schulte, Christina, Simmons, Denard, Simões, Zilá Lp, Smagghe, Guy, Soares, Michelle P. M., Stolle, Eckart, Sumner, Seirian, Swevers, Luc, Thornton, Rebecca, van Vaerenbergh, Matthias, Venkat, Aarti, Walden, Kimberly K. O., Waterhouse, Robert M., Winnebeck, Eva C., Wolschin, Florian, Worley, Kim C., Wu, Yuan-Qing, Yu, Na, Zdobnov, Evgeny M.   +143 more
core   +14 more sources

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Benefits and applications of interdisciplinary digital tools for environmental meta-reviews and analyses

Environmental Research Letters, 2016
Digitally-aided reviews of large bodies of text-based information, such as academic literature, are growing in capability but are not yet common in environmental fields.
Emily Grubert, Anne Siders
doaj   +1 more source

A Meta-Analysis of Procedures to Change Implicit Measures [PDF]

, 2019
Using a novel technique known as network meta-analysis, we synthesized evidence from 492 studies (87,418 participants) to investigate the effectiveness of procedures in changing implicit measures, which we define as response biases on implicit tasks.
Ast, Jordan R., Devine, Patricia G., Ebersole, Charles R., Forscher, Patrick S., Herman, Michelle, Lai, Calvin K., Nosek, Brian A.   +6 more
core   +2 more sources

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source

Multidimensional OMICs reveal ARID1A orchestrated control of DNA damage, splicing, and cell cycle in normal‐like and malignant urothelial cells

Molecular Oncology, EarlyView.
Loss of the frequently mutated chromatin remodeler ARID1A, a subunit of the SWI/SNF cBAF complex, results in less open chromatin, alternative splicing, and the failure to stop cells from progressing through the cell cycle after DNA damage in bladder (cancer) cells. Created in BioRender. Epigenetic regulators, such as the SWI/SNF complex, with important
Rebecca M. Schlösser, Florian Krumbach, Eyleen Corrales, Geoffroy Andrieux, Christian Preisinger, Franziska Liss, Alexandra Golzmann, Melanie Boerries, Kerstin Becker, Ruth Knüchel, Stefan Garczyk, Bernhard Lüscher   +11 more
wiley   +1 more source

Taking video cameras into the classroom. [PDF]

, 2010
Research into the communication and interactions in classrooms need to take the multimodal nature of classrooms into account. Video cameras can capture the dynamics of teaching and learning, but the use of videos for research purposes needs to be well ...
Cowie, Bronwen, Maguire, Michael, Otrel-Cass, Kathrin   +2 more
core   +2 more sources