Results 81 to 90 of about 259,780 (278)

In vitro models of cancer‐associated fibroblast heterogeneity uncover subtype‐specific effects of CRISPR perturbations

Molecular Oncology, EarlyView.
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra, Shamsudheen Karuthedath Vellarikkal, Lixia Li, Hong Sun, Khoa Nguyen, Amber Montano, Suchitra Natarajan, Federica Piccioni, Alex Michael Tamburino, Xin Yu, Aleksandra Katarzyna Olow   +10 more
wiley   +1 more source

Perspectives in educating molecular pathologists on liquid biopsy: Toward integrative, equitable, and decentralized precision oncology

Molecular Oncology, EarlyView.
Liquid biopsy enables minimally invasive, real‐time molecular profiling through analysis of circulating biomarkers in biological fluids. This Perspective highlights the importance of training pathologists through integrative educational programs, such as the European Masters in Molecular Pathology, to ensure effective and equitable implementation of ...
Marius Ilié, Umberto Malapelle, Catherine Alix‐Panabières, Claus Lindbjerg Andersen, Sandra Chlebowski, Vivien Lake, Caroline Lacoux, Virginie Lespinet‐Fabre, Olivier Bordone, Simon Heeke, Christophe Bontoux, Ellen Heitzer, Klaus Pantel, Paul Hofman   +13 more
wiley   +1 more source

Extending bicluster analysis to annotate unclassified ORFs and predict novel functional modules using expression data

BMC Genomics, 2008
Background Microarrays have the capacity to measure the expressions of thousands of genes in parallel over many experimental samples. The unsupervised classification technique of bicluster analysis has been employed previously to uncover gene expression ...
Cunningham Pádraig, Bryan Kenneth
doaj   +1 more source

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

Molecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice, Jose I. Lopez, Aitziber Ugalde‐Olano, Maite Zufiaurre, Ianire Astobiza, Natalia Martin‐Martin, Laura Bozal‐Basterra, Saioa Garcia‐Longarte, Amaia Zabala‐Letona, Sofia Rey, Aida Santos‐Martin, Miguel Unda, Ana Loizaga‐Iriarte, Mariona Graupera, Paolo Nuciforo, Arkaitz Carracedo, Isabel Mendizabal   +16 more
wiley   +1 more source

Functional predictability of universal gene circuits in diverse microbial hosts

Quantitative Biology
Although the principles of synthetic biology were initially established in model bacteria, microbial producers, extremophiles and gut microbes have now emerged as valuable prokaryotic chassis for biological engineering.
Chenrui Qin, Tong Xu, Xuejin Zhao, Yeqing Zong, Haoqian M. Zhang, Chunbo Lou, Qi Ouyang, Long Qian   +7 more
doaj   +1 more source

Distributed Application Extensions and Obsolescence as Risk Generating Factors [PDF]

Informatică economică, 2012
Extending distributed IT&C applications raises risks associated to integrating new modules in already existing functional areas, influencing performance and data relevancy.
Catalin Alexandru TĂNASIE
doaj  

Representation of Balancing Options for Variable Renewables in Long-Term Energy System Models: An Application to OSeMOSYS

Energies, 2019
The growing complexity and the many challenges related to fast-changing and highly de-carbonised electricity systems require reliable and robust open source energy modelling frameworks. Their reliability may be tested on a series of well-posed benchmarks
Francesco Gardumi, Manuel Welsch, Mark Howells, Emanuela Colombo   +3 more
doaj   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source

ProgModule: A novel computational framework to identify mutation driver modules for predicting cancer prognosis and immunotherapy response

Journal of Translational Medicine
Background Cancer originates from dysregulated cell proliferation driven by driver gene mutations. Despite numerous algorithms developed to identify genomic mutational signatures, they often suffer from high computational complexity and limited clinical ...
Xiangmei Li, Bingyue Pan, Xilong Zhao, Yinchun Su, Jiyin Lai, Siyuan Li, Yalan He, Jiashuo Wu, Junwei Han   +8 more
doaj   +1 more source

Extending L′Hôpital′s Theorem to B-Modules

Journal of Mathematical Analysis and Applications, 1993
An abstract version of L'Hôpital's theorem concerning the ``ratio'' \(f(x)(g(x))^{-1}\) is proved, where \(f: [a,b]\to X\), \(g: [a,b]\to A\), \(A\) being a unital Banach algebra, \(X\) a Banach module over \(A\), and \((a,b)\) a bounded or unbounded real interval. Here, the case \(f(x)@>X>>0\), \(g(x)@>A>> 0\), as \(x\to \alpha\in[a,b]\) is considered,
SPIGLER R, VIANELLO, MARCO
openaire   +4 more sources