Results 111 to 120 of about 6,997,548 (275)

SPHINX31 acts as a SRPK1 inhibitor targeting the ATR/DNA‐PKcs/CHK1 replicative checkpoint to inhibit cell growth in non‐small cell lung cancer

Molecular Oncology, EarlyView.
The kinase SRPK1 directly interacts with the protein TOPBP1 and regulates the pre‐mRNA splicing of WIZ thereby contributing to the activation of the ATR/CHK1 replicative checkpoint in response to replicative stress. This allows cancer cells' genomic stability and survival.
Amani Shreim, Aurelie Genoux, Nadiia Zubchuk, Haoyang Zheng, Perla Salameh, Theo Ziegelmeyer, Fabien Dalonneau, Margot Rouchette, Christiane Oddou, Simona Miron, Helene Polveche, Adiilah Mamode Cassim, Carmen Garrido, Eleni Nikolakaki, Didier Auboeuf, Tao Jia, Sophie Zinn‐Justin, Beatrice Eymin   +17 more
wiley   +1 more source

Mutant p53R273H disrupts PDPK1 homodimerization and contributes to PDPK1 activation

Molecular Oncology, EarlyView.
How mutant p53R273H drives AKT signaling is unclear. We show that p53R273H, but not wild‐type, directly binds PDPK1 via a mutation‐dependent conformational change. This interaction disrupts inhibitory PDPK1 homodimerization and enhances AKT phosphorylation.
Mei Chee Lim, Alvin Kunyao Guo, Yoko Itahana, Srinivasaraghavan Kannan, Valerie Goh, Mingmin Ong, Terina Yan Wen Tay, Weiying Ye, Sabhashina Radha Krishnan, Jun Nishiyama, Chandra S Verma, Koji Itahana   +11 more
wiley   +1 more source

Peculiar Velocity Reconstruction from Simulations and Observations Using Deep Learning Algorithms

The Astrophysical Journal
In this paper, we introduce a U-Net model of deep learning algorithms for reconstructions of the 3D peculiar velocity field, which simplifies the reconstruction process with enhanced precision.
Yuyu Wang, Xiaohu Yang
doaj   +1 more source

Everted U-Net for 3D scene reconstruction and segmentation

ITM Web of Conferences
Abstract. The field of data science related to the processing of three-dimensional objects is becoming more and more relevant. After the successes in image processing, the apotheosis of which was the development of generative neural net-works, the intensification of efforts in the direction of three-dimensional data processing looks logical.
Mymlikov Vladislav, Antamoshkin Oleslav, Farafonov Maxim   +2 more
openaire   +2 more sources

Characterization of therapeutic antibodies targeting lymphatic and vascular resistance factor for the treatment of hypervascularized and highly metastatic cancers

Molecular Oncology, EarlyView.
LVRF (lymphatic and vascular resistance factor) is a VEGFA splice variant upregulated in response to anti‐angiogenic therapy that fosters tumor adaptation through enhanced vascularization, lymphangiogenesis, and metastatic dissemination. Targeting LVRF with fully human neutralizing antibodies disrupts these processes and limits resistant tumor growth ...
Marion David, Arthur Karaulic, Audrey Bennetot, Clémence Fournier, Quentin Odet, Arthur Gouraud, Isabelle Bourget, Cédric Gaggioli, Sandy Giuliano, Frédéric Luciano, Olivier Léger, Zaki Sellam, Gilles Pagès   +12 more
wiley   +1 more source

Reprogramming tumor cells with LCOR mRNA nanotherapy to enhance immunotherapy

Molecular Oncology, EarlyView.
LCOR (Ligand‐dependent corepressor) mRNA encapsulated in polymeric nanoparticles restores LCOR activity in tumor cells, constraining aggressive tumor cell states and increasing tumor immunogenicity. This reprogramming makes tumor cells more vulnerable to T‐cell attack and enhances their response to immune‐checkpoint immunotherapy.
Gabriel Serra‐Mir, Elena Haro‐Martínez, Sandra Blasco‐Benito, Chiara Cannatà, José Ángel Palomeque, Anna López‐Plana, Maria Sanz‐Flores, Marc Sabartés, Cristina Fornaguera, Toni Celià‐Terrassa   +9 more
wiley   +1 more source

BTIS-Net: Efficient 3D U-Net for Brain Tumor Image Segmentation

IEEE Access
Brain tumor segmentation techniques are essential for the precise delineation of tumors and normal brain tissues which is essential for the guidance of surgical intervention and clinical decisions. However, for resource-constrained clinical environments,
Li Liu, Kaijian Xia
doaj   +1 more source

Mesh U-Nets for 3D Cardiac Deformation Modeling

, 2022
Beetz, Marcel, Acero, Jorge Corral, Banerjee, Abhirup, Eitel, Ingo, Zacur, Ernesto, Lange, Torben, Stiermaier, Thomas, Evertz, Ruben, Backhaus, Sören J., Thiele, Holger, Bueno-Orovio, Alfonso, Lamata, Pablo, Schuster, Andreas, Grau, Vicente, Camara, Oscar, Puyol-Antón, Esther, Qin, Chen, Sermesant, Maxime, Suinesiaputra, Avan, Wang, Shuo, Young, Alistair   +20 more
openaire   +2 more sources

Tumour‐proximal deep serum proteomics identifies biomarkers associated with ovarian cancer

Molecular Oncology, EarlyView.
New biomarkers are needed for early ovarian cancer detection. Ovarian (tumour‐proximal) and peripheral vein serum from healthy women and patients with benign or malignant tumours underwent nanoparticle‐enriched deep proteomics. Ovarian serum yielded more protein identifications and revealed tumour‐reflective signatures.
Darren Lau, Daniel Pincher, Clifford Young, Nicholas Chappell, Noor A. Lokman, Parul Mittal, Leigh Donnellan, Martin K. Oehler, Doug A. Brooks, Peter Hoffmann   +9 more
wiley   +1 more source

Generalized U-Net for automatic liver segmentation and R2* estimation for assessment of iron overload using MRI

BMC Medical Imaging
Background Although R2*-MRI is extensively validated for assessing liver iron concentration (LIC), techniques for robust and automatic liver extraction remain underdeveloped, limiting clinical workflow and adoption for automated LIC reporting. Hence this
Utsav Shrestha, Zachary R. Abramson, Stephan Kannengiesser, Xiaodong Zhong, Cara E. Morin, Aaryani Tipirneni-Sajja   +5 more
doaj   +1 more source