Results 231 to 240 of about 1,789,174 (313)

Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value

Molecular Oncology, EarlyView.
The Unsupervised AML Multi‐Omics Classification System (UAMOCS) integrates genomic, methylation, and transcriptomic data to categorize AML patients into three subtypes (UAMOCS1‐3). This classification reveals clinical relevance, highlighting immune and chromosomal characteristics, prognosis, and therapeutic vulnerabilities.
Yang Song, Zhe Wang, Guangji Zhang, Jiangxue Hou, Kaiqi Liu, Shuning Wei, Yan Li, Chunlin Zhou, Dong Lin, Min Wang, Hui Wei, Jianxiang Wang, Tao Cheng, Yingchang Mi   +13 more
wiley   +1 more source

The effects of Thymus capitatus essential oil topical application on milk quality: a systems biology approach. [PDF]

Sci Rep
Nehme R, Gini C, Vanbergue E, Even S, Biscarini F, Andrés S, Rault L, Noel F, Hardit V, Bouhallab S, Pereira DM, Ksouri R, Roussel P, López S, Cremonesi P, Castiglioni B, Caruso D, Faré F, Fontana M, Ceciliani F, Abdennebi-Najar L.   +20 more
europepmc   +1 more source

Plastic based microfluidic systems and their applications in biology. [PDF]

, 2002
Palaniappan Sethu
openalex  

Apomixis inAchnanthes(Bacillariophyceae); development of a model system for diatom reproductive biology [PDF]

, 2004
Koen Sabbe, Victor A. Chepurnov, Wim Vyverman, David G. Mann   +3 more
openalex   +1 more source

Adverse prognosis gene expression patterns in metastatic castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
We aggregated a cohort of 1012 mCRPC tissue samples from 769 patients and investigated the association of gene expression‐based pathways with clinical outcomes. Loss of AR signaling, high proliferation, and a glycolytic phenotype were independently prognostic for poor outcomes, and an adverse transcriptional feature score incorporating these pathways ...
Marina N. Sharifi, Eric Feng, Nicholas R. Rydzewski, Amy K. Taylor, Jamie M. Sperger, Yue Shi, Kyle T. Helzer, Matthew L. Bootsma, Viridiana Carreno, Alex H. Chang, Luke A. Nunamaker, Grace C. Blitzer, Tianfu Andy Shang, Aishwarya Subramanian, Anders Bjartell, Andreas Josefsson, Pernilla Wikström, Emily Feng, Manish Kohli, Rendong Yang, Scott M. Dehm, Eric J. Small, Rahul Aggarwal, David A. Quigley, Joshua M. Lang, Shuang G. Zhao, Martin Sjöström   +26 more
wiley   +1 more source

Systems biology of B cells in COVID-19. [PDF]

Semin Immunol
Woodruff MC, Faliti CE, Sanz I.
europepmc   +1 more source

Application of the mouse exo utero development system in the study of developmental biology and teratology [PDF]

, 2004
Toshihisa Hatta, Akihiro Matsumoto, Hiroki Otani   +2 more
openalex   +1 more source

TOMM20 as a driver of cancer aggressiveness via oxidative phosphorylation, maintenance of a reduced state, and resistance to apoptosis

Molecular Oncology, EarlyView.
TOMM20 increases cancer aggressiveness by maintaining a reduced state with increased NADH and NADPH levels, oxidative phosphorylation (OXPHOS), and apoptosis resistance while reducing reactive oxygen species (ROS) levels. Conversely, CRISPR‐Cas9 knockdown of TOMM20 alters these cancer‐aggressive traits.
Ranakul Islam, Megan E. Roche, Zhao Lin, Diana Whitaker‐Menezes, Victor Diaz‐Barros, Eurico Serrano, Maria Paula Martinez Cantarin, Nancy J. Philp, Atrayee Basu Mallick, Ubaldo Martinez‐Outschoorn   +9 more
wiley   +1 more source

Systems Biology of Recombinant 2G12 and 353/11 mAb Production in CHO-K1 Cell Lines at Phosphoproteome Level. [PDF]

Proteomes
Sulaj E, Sandell FL, Schwaigerlehner L, Marzban G, Dohm JC, Kunert R.   +5 more
europepmc   +1 more source

High throughput instruments, methods, and informatics for systems biology.

, 2003
Michael B. Sinclair, Jim Cowie, Mark Van Benthem, Brian Wylie, George S. Davidson, David M. Haaland, Jerilyn A. Timlin, Anthony D. Aragon, Michael R. Keenan, Kevin W. Boyack, Edward V. Thomas, Margaret Werner‐Washburne, Mónica Mosquera‐Caro, Michael J. Martinez, Shawn Martin, Cheryl L. Willman   +15 more
openalex   +1 more source