Results 191 to 200 of about 5,858,806 (226)

Determination of ADP/ATP translocase isoform ratios in malignancy and cellular senescence

Molecular Oncology, EarlyView.
The individual functions of three isoforms exchanging ADP and ATP (ADP/ATP translocases; ANTs) on the mitochondrial membrane remain unclear. We developed a method for quantitatively differentiating highly similar human ANT1, ANT2, and ANT3 using parallel reaction monitoring. This method allowed us to assess changes in translocase levels during cellular
Zuzana Liblova, Dominika Maurencova, Barbora Salovska, Marek Kratky, Tomas Mracek, Zuzana Korandova, Alena Pecinova, Pavla Vasicova, David Rysanek, Ladislav Andera, Ivo Fabrik, Rudolf Kupcik, Pavel Kashmel, Pinky Sultana, Vojtech Tambor, Jiri Bartek, Josef Novak, Marie Vajrychova, Zdenek Hodny   +18 more
wiley   +1 more source

A Theory and Model of Scene Representations With Hippocampal Spatial View Cells. [PDF]

Hippocampus
Rolls ET.
europepmc   +1 more source

Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data

Molecular Oncology, EarlyView.
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu, Katherine Eason, Suet‐Feung Chin, Paul A. W. Edwards, Raquel Manzano Garcia, Richard Moulange, Jia Wern Pan, Soo Hwang Teo, Sach Mukherjee, Maurizio Callari, Carlos Caldas, Stephen‐John Sammut, Oscar M. Rueda   +12 more
wiley   +1 more source

Generative AI mitigates representation bias and improves model fairness through synthetic health data. [PDF]

PLoS Comput Biol
Marchesi R, Micheletti N, I-Hsien Kuo N, Barbieri S, Jurman G, Osmani V.   +5 more
europepmc   +1 more source

Evaluation of KRAS and NRAS mutations in metastatic colorectal cancer: an 8‐year study of 10 754 patients in Turkey

Molecular Oncology, EarlyView.
This nationwide study evaluated KRAS and NRAS mutations in 10 754 Turkish patients with metastatic colorectal cancer. The results revealed a mutation frequency of 51.1%, with 46.6% having KRAS mutations, 4.5% having NRAS mutations, and 48.5% being wild‐type for both.
Gozde Kavgaci, Izzet Akiva, Yavuz Hakan Ozon, Hakan Berkil, Huseyin Karadayi, Omer Dizdar, Suayib Yalcin   +6 more
wiley   +1 more source

Feature-aware domain invariant representation learning for EEG motor imagery decoding. [PDF]

Sci Rep
Li J, Shi J, Yu P, Yan X, Lin Y.
europepmc   +1 more source

Landscape of BRAF transcript variants in human cancer

Molecular Oncology, EarlyView.
We investigate the annotation of BRAF variants, focusing on protein‐coding BRAF‐220 (formerly BRAF‐reference) and BRAF‐204 (BRAF‐X1). The IsoWorm pipeline allows us to quantify these variants in human cancer, starting from RNA‐sequencing data. BRAF‐204 is more abundant than BRAF‐220 and impacts patient survival.
Maurizio S. Podda, Danilo Tatoni, Gianluca Mattei, Alberto Magi, Romina D'Aurizio, Laura Poliseno   +5 more
wiley   +1 more source

Partial contrastive point cloud self-supervised representation learning. [PDF]

Sci Rep
Cheng Z, Wang Y.
europepmc   +1 more source

Loss of proton‐sensing GPR4 reduces tumor progression in mouse models of colon cancer

Molecular Oncology, EarlyView.
G protein‐coupled receptor 4 (GPR4) is a pH‐sensing receptor activated by acidic pH. GPR4 expression is increased in patients with inflammatory bowel disease who are at high risk of developing colorectal cancer. In mouse models, loss of GPR4 attenuated tumor progression. This correlated with increased IL2 and natural killer cell activity.
Leonie Perren, Moana Busch, Pedro A. Ruiz, Ermanno Malagola, Valeria Baumeler, Federica Foti, Adelina Gross, Tobias Grütter, Hendrik Edel, Cordelia Schuler, Kristina Handler, Glenn De Lange, Isabelle C. Arnold, Cheryl de Vallière, Klaus Seuwen, Martin Hausmann, Gerhard Rogler   +16 more
wiley   +1 more source

Multi dynamic temporal representation graph convolutional network for traffic flow prediction. [PDF]

Sci Rep
Wu Z, Liu X, Zhang X.
europepmc   +1 more source