Results 71 to 80 of about 666,912 (235)

Molecular and functional profiling unravels targetable vulnerabilities in colorectal cancer

Molecular Oncology, EarlyView.
We used whole exome and RNA‐sequencing to profile divergent genomic and transcriptomic landscapes of microsatellite stable (MSS) and microsatellite instable (MSI) colorectal cancer. Alterations were classified using a computational score for integrative cancer variant annotation and prioritization.
Efstathios‐Iason Vlachavas, Konstantinos Voutetakis, Vivian Kosmidou, Spyridon Tsikalakis, Spyridon Roditis, Konstantinos Pateas, Ryangguk Kim, Kymberleigh Pagel, Stephan Wolf, Gregor Warsow, Antonia Dimitrakopoulou‐Strauss, Georgios N. Zografos, Alexander Pintzas, Johannes Betge, Olga Papadodima, Stefan Wiemann   +15 more
wiley   +1 more source

NaviCell: a web-based environment for navigation, curation and maintenance of large molecular interaction maps [PDF]

, 2013
Molecular biology knowledge can be systematically represented in a computer-readable form as a comprehensive map of molecular interactions. There exist a number of maps of molecular interactions containing detailed description of various cell mechanisms.
Barillot, Emmanuel, Calzone, Laurence, Cohen, David, Kuperstein, Inna, Pook, Stuart, Viara, Eric, Zinovyev, Andrei   +6 more
core   +4 more sources

Stochastic variation in the FOXM1 transcription program mediates replication stress tolerance

Molecular Oncology, EarlyView.
Cellular heterogeneity is a major cause of drug resistance in cancer. Segeren et al. used single‐cell transcriptomics to investigate gene expression events that correlate with sensitivity to the DNA‐damaging drugs gemcitabine and prexasertib. They show that dampened expression of transcription factor FOXM1 and its target genes protected cells against ...
Hendrika A. Segeren, Kathryn A. Wierenga, Frank M. Riemers, Elsbeth A. van Liere, Bart Westendorp   +4 more
wiley   +1 more source

Uniformly curated signaling pathways reveal tissue-specific cross-talks and support drug target discovery

, 2010
Motivation: Signaling pathways control a large variety of cellular processes. However, currently, even within the same database signaling pathways are often curated at different levels of detail.
Amberger, Bader, Bader, Bauer-Mehren, Becker, Behar, Berger, Berglund, Beyer, Bhattacharyya, Borisov, Boyle, Chaudhuri, Chen, Csaba Böde, Cusick, Davidov, Dennis, Drysdale, Dávid Fazekas, Fabbro, Frame, Freeman, Friedland, Gao, Harris, Hoffmann, Hopkins, Hornberg, Hunter, Illés J. Farkas, Joshi-Tope, Kandasamy, Katalin Lenti, Kholodenko, Klein, Komarova, Korcsmaros, Levine, Li, Liu, Lu, Luo, Morioka, Máté S. Szalay, O'Brien, Ogata, Papin, Petra Rovó, Pires-daSilva, Péter Csermely, Rhodes, Rogers, Sakharkar, Sergina, Stelling, Szathmary, Tamás Korcsmáros, Taniguchi, Tibor Vellai, Tortora, Urban, Wang, Xia, Yildirim, Zoltán Spiró   +65 more
core   +1 more source

CircCCNB1 inhibits vasculogenic mimicry by sequestering NF90 to promote miR‐15b‐5p and miR‐7‐1‐3p processing in nasopharyngeal carcinoma

Molecular Oncology, EarlyView.
CircCCNB1 expression is down‐regulated in nasopharyngeal carcinoma (NPC); thus, less NF90 protein is bound to circCCNB1 and more binds to pri‐miRNAs, blocking their (pri‐miRNAs) binding to DGCR8 and inhibiting the processing and generation of miR‐15b‐5p/miR‐7‐1‐3p. Furthermore, decreased miR‐15b‐5p/miR‐7‐1‐3p promotes the expression of the target genes
Chunmei Fan, Fenghua Tan, Jie Wu, Zhaoyang Zeng, Wenjia Guo, He Huang, Wei Xiong   +6 more
wiley   +1 more source

StemNet: An Evolving Service for Knowledge Networking in the Life Sciences [PDF]

, 2007
Up until now, crucial life science information resources, whether bibliographic or factual databases, are isolated from each other. Moreover, semantic metadata intended to structure their contents is supplied in a manual form only. In the StemNet project
Bajwa, A., Blasczyk, R., DeLuca, D., Hahn, U., Horn, P., Poprat, M., Wermter, J.   +6 more
core   +1 more source

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

A framework for protein classification [PDF]

, 2003
It is widely understood that protein functions can be exhaustively described in terms of no single parameter, whether this be amino acid sequence or the three-dimensional structure of the underlying protein molecule. This means that a number of
Kumar, Anand, Smith, Barry
core   +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

Automated Protein Structure Classification: A Survey [PDF]

, 2008
Classification of proteins based on their structure provides a valuable resource for studying protein structure, function and evolutionary relationships.
Hassanzadeh, Oktie
core   +1 more source