Results 91 to 100 of about 911,565 (297)

Law of localization in chemical reaction networks

, 2016
In living cells, chemical reactions are connected by sharing their products and substrates, and form complex networks, e.g. metabolic pathways. Here we developed a theory to predict the sensitivity, i.e.
Mochizuki, Atsushi, Okada, Takashi
core   +1 more source

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

Molecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns, Jaclyn S. Long, Sergio Lilla, Kelly Hodge, Marcus J. G. W. Ladds, Colin Nixon, Paula Fernández‐Palanca, Sara Zanivan, Pilar Acedo, Stephen P. Pereira, Kevin M. Ryan   +10 more
wiley   +1 more source

Brain function in classic galactosemia, a galactosemia network (GalNet) members review

Frontiers in Genetics
Classic galactosemia (CG, OMIM #230400, ORPHA: 79,239) is a hereditary disorder of galactose metabolism that, despite treatment with galactose restriction, affects brain function in 85% of the patients.
Bianca Panis, Bianca Panis, Bianca Panis, E. Naomi Vos, E. Naomi Vos, E. Naomi Vos, E. Naomi Vos, E. Naomi Vos, Ivo Barić, Annet M. Bosch, Annet M. Bosch, Annet M. Bosch, Martijn C. G. J. Brouwers, Martijn C. G. J. Brouwers, Alberto Burlina, Alberto Burlina, David Cassiman, David J. Coman, María L. Couce, María L. Couce, Anibh M. Das, Anibh M. Das, Didem Demirbas, Aurélie Empain, Aurélie Empain, Matthias Gautschi, Olga Grafakou, Olga Grafakou, Stephanie Grunewald, Sandra D. K. Kingma, Sandra D. K. Kingma, Ina Knerr, Elisa Leão-Teles, Elisa Leão-Teles, Dorothea Möslinger, Dorothea Möslinger, Elaine Murphy, Katrin Õunap, Katrin Õunap, Adriana Pané, Adriana Pané, Sabrina Paci, Sabrina Paci, Rossella Parini, Rossella Parini, Isabel A. Rivera, Sabine Scholl-Bürgi, Ida V. D. Schwartz, Triantafyllia Sdogou, Triantafyllia Sdogou, Loai A. Shakerdi, Anastasia Skouma, Anastasia Skouma, Karolina M. Stepien, Eileen P. Treacy, Susan Waisbren, Gerard T. Berry, M. Estela Rubio-Gozalbo, M. Estela Rubio-Gozalbo, M. Estela Rubio-Gozalbo, M. Estela Rubio-Gozalbo, M. Estela Rubio-Gozalbo   +61 more
doaj   +1 more source

Extending Tlusty's method to the glycome: Tuning the repertoire of glycan determinants [PDF]

, 2011
We apply Tlusty's information-theoretic analysis of the genetic code to the glycome, using a cognitive paradigm in which external information sources constrain and tune the glycan code error network, in the context of available metabolic energy. The
Deborah Wallace, Rodrick Wallace
core   +1 more source

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

Molecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova, Zuzana Kozovska, Ondrej Pos, Kristina Pavlov, Sachin Gulati, Peter Makovicky, Kristina Jakic, Monika Burikova, Eva Sedlackova, Barbora Svitkova, Silvia Tyciakova, Vojtech Bystry, Nicolas Blavet, Boris Tichy, Matej Hrnciar, Jaroslav Budis, Miroslav Tomas, Peter Dubovan, Georgina Kolnikova, Veronika Repaska, Nikoleta Mojzesova, Eva Zomborska, Daniel Pindak, Michal Mego, Tomas Szemes, Miroslava Matuskova   +25 more
wiley   +1 more source

iNAP 2.0: Harnessing metabolic complementarity in microbial network analysis

iMeta
With the widespread adoption of metagenomic sequencing, new perspectives have emerged for studying microbial ecological networks, yielding metabolic evidence of interspecies interactions that traditional co‐occurrence networks cannot infer. This protocol
Xi Peng, Kai Feng, Xingsheng Yang, Qing He, Bo Zhao, Tong Li, Shang Wang, Ye Deng   +7 more
doaj   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gábor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source

FluxSimulator: An R Package to Simulate Isotopomer Distributions in Metabolic Networks [PDF]

The representation of biochemical knowledge in terms of fluxes (transformation rates) in a metabolic network is often a crucial step in the development of new drugs and efficient bioreactors.
Ivo H. M. van Stokkum, Jaap Heringa, Johannes H. G. M. van Beek, Katharine M. Mullen, Thomas W. Binsl   +4 more
core   +1 more source

Reply to ''Comment on 'Regularizing Capacity of Metabolic Networks' ''

, 2007
In a recent paper [C. Marr, M. Mueller-Linow, and M.-T. Huett, Phys. Rev. E 75, 041917 (2007)] we discuss the pronounced potential of real metabolic network topologies, compared to randomized counterparts, to regularize complex binary dynamics.
Huett, Marc-Thorsten, Marr, Carsten, Mueller-Linow, Mark   +2 more
core   +1 more source

RIPK4 function interferes with melanoma cell adhesion and metastasis

Molecular Oncology, EarlyView.
RIPK4 promotes melanoma growth and spread. RIPK4 levels increase as skin lesions progress to melanoma. CRISPR/Cas9‐mediated deletion of RIPK4 causes melanoma cells to form less compact spheroids, reduces their migratory and invasive abilities and limits tumour growth and dissemination in mouse models.
Norbert Wronski, Sławomir Lasota, Ewelina Madej, Anna A. Brożyna, Małgorzata Szczygieł, Agnieszka Harazin‐Lechowska, Jan Czerbniak, Janusz Rys, Jaroslaw Czyz, Agnieszka Wolnicka‐Glubisz   +9 more
wiley   +1 more source