Results 111 to 120 of about 2,051,496 (327)

Molecular network of HCC aggressiveness

Oncoscience, 2015
Hepatocellular carcinoma (HCC) is one of the main causes of cancer-related mortality worldwide. It has a poor prognosis due to aggressive phenotype, and limited and insufficient treatment options. In HCCs, acquisition of epithelial mesenchymal transition (EMT) features may account for tumor aggressiveness and chemo-resistance. Many of G protein-coupled
Sang Geon, Kim, Mi Jeong, Heo, Yoon Mee, Yang   +2 more
openaire   +2 more sources

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

Molecular mode-coupling theory for supercooled liquids: Application to water

, 1999
We present mode-coupling equations for the description of the slow dynamics observed in supercooled molecular liquids close to the glass transition.
A. Latz, C. Theis, C. Theis, C. Theis, D. Forster, F. Sciortino, F. Sciortino, F. Sciortino, H. J. C. Berendsen, H. Z. Cummins, J. P. Hansen, K. Kawasaki, L. Fabbian, L. Fabbian, L. Fabbian, M. Nauroth, P. Gallo, P. Tartaglia, R. Schilling, R. Schilling, R. Schilling, S.-H. Chong, T. Franosch, T. Scheidsteger, W. Götze, W. Götze, W. van Megen   +26 more
core   +1 more source

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

Machine Learning Molecular Dynamics for the Simulation of Infrared Spectra

, 2017
Machine learning has emerged as an invaluable tool in many research areas. In the present work, we harness this power to predict highly accurate molecular infrared spectra with unprecedented computational efficiency. To account for vibrational anharmonic
Behler, Jörg, Gastegger, Michael, Marquetand, Philipp   +2 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

Proteome-wide prediction of the mode of inheritance and molecular mechanisms underlying genetic diseases using structural interactomics

iScience
Summary: Genetic diseases can be classified according to their modes of inheritance and their underlying molecular mechanisms. Autosomal dominant disorders often result from DNA variants that cause loss-of-function, gain-of-function, or dominant-negative
Ali Saadat, Jacques Fellay
doaj   +1 more source

Unifying Evolutionary and Network Dynamics

, 2007
Many important real-world networks manifest "small-world" properties such as scale-free degree distributions, small diameters, and clustering. The most common model of growth for these networks is "preferential attachment", where nodes acquire new links ...
Gasser, Les, Swarup, Samarth
core   +1 more source

Investigating the cell of origin and novel molecular targets in Merkel cell carcinoma: a historic misnomer

Molecular Oncology, EarlyView.
This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian, Sriraam Sivachandran, Melissa Galati, Brandon Ramchatesingh, Hibo Rijal, Johnny Hanna, Elena Netchiporouk, May Chergui, Margaret Redpath, Samy Abou Setah, Ivan V. Litvinov   +10 more
wiley   +1 more source

Rapid Analysis of Compounds from Piperis Herba and Piperis Kadsurae Caulis and Their Differences Using High-Resolution Liquid–Mass Spectrometry and Molecular Network Binding Antioxidant Activity

Molecules
There is a serious mixing of Piperis Herba and Piperis Kadsurae Caulis in various parts of China due to the similar traits of lianas, and there is a lack of systematic research on the compound and activity evaluation of the two. Likewise, the differences
Dezhi Shi, Nanxi Liao, Hualan Liu, Wufeng Gao, Shaohui Zhong, Chao Zheng, Haijie Chen, Lianlian Xiao, Yubo Zhu, Shiwen Huang, Yunyu Zhang, Yang Hu, Yunfeng Zheng, Jing Ji, Jianming Cheng   +14 more
doaj   +1 more source