Results 161 to 170 of about 30,376,400 (291)

GR2ST: spatial transcriptomics prediction based on graph-enhanced multimodal contrastive learning. [PDF]

Bioinformatics
Zhou J, Li S, Han R, Wang X, Wang Y, Li J.   +5 more
europepmc   +1 more source

KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancer

Molecular Oncology, EarlyView.
Treatment resistance is a major challenge for patients with advanced prostate cancer. This study examined an alternative approach to target the major prostate cancer‐promoting pathway by targeting epigenetic factors, whose levels are higher in tumours.
Jennie N Jeyapalan, Veronika M Metzler, Simone de Brot, Corinne L Woodcock, Anna E Harris, Jennifer Lothion‐Roy, Emeli M Nilsson, Atara Ntekim, Michael S Toss, Jenny L Persson, Francesca Khani, Brian D Robinson, Lorraine J Gudas, Emad Rakha, David M Heery, Catrin S Rutland, Nigel P Mongan   +16 more
wiley   +1 more source

Computer Science Concepts - Finite Automata

, 2010
This lecture forms part of the "Finite Automata" topic of the Computer Science Concepts module.
Rong Yang, UKOER, Open Educational Repository in Support of Computer Science   +2 more
core  

Hypoxia-Induced Lineage Plasticity in Neuroblastoma: Advancing Signature Interpretation and Clinical Translation. [PDF]

Clin Transl Sci
Carter Osei J, Abukwaik A, Di Giovannantonio M, Koizia LJ, Harris BHL.   +4 more
europepmc   +1 more source

Hijacking emergency granulopoiesis: Neutrophil ontogeny and reprogramming in cancer

Molecular Oncology, EarlyView.
Neutrophils are highly plastic innate immune cells; their functions in cancer extend beyond the tumour microenvironment. This Review summarises current understanding of neutrophil maturation and heterogeneity and highlights tumour‐induced granulopoiesis as a systemic programme that expands immature, immunosuppressive neutrophils via tumour‐derived ...
Gabriela Marinescu, Yi Feng
wiley   +1 more source

Identifying batch-integrated domains from spatial transcriptomics via graph autoencoder with contrastive learning based on cross-modality and data augmentation. [PDF]

Brief Bioinform
Mao Y, Quan L, Chen X, Wang S, Zhang G, Li S, Jiang Y, Nie L, Wu T, Meng L, Lyu Q.   +10 more
europepmc   +1 more source

Transcriptional profiling of circulating extracellular vesicles from prebiopsy prostate cancer patients

Molecular Oncology, EarlyView.
RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner, Pierre Tennstedt, Randi C. Pose, Christian Müller, Katharina Besler, Svenja Schneegans, Malik Alawi, Marie C. Roesch, Sven Peine, Desiree Bonci, Joanna Budna‐Tukan, Evi Lianidou, Catherine Alix‐Panabières, Derya Tilki, Klaus Pantel   +14 more
wiley   +1 more source

scTACL: a multitask topology-aware contrastive learning approach for single-cell transcriptomics analysis. [PDF]

Bioinformatics
Zhou M, Lu X, Liang Y, Kow AWC, Wang G, Liu Q, Zhao Y.   +6 more
europepmc   +1 more source

Longitudinal circulating tumor DNA profiling in patients with advanced endometrial cancer using an off‐the‐shelf targeted NGS panel

Molecular Oncology, EarlyView.
Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena, Karin Teien Lande, Eva Diaz, Ana Vilar, Juan Cueva, Efigenia Arias, Victoria Sampayo, Alicia Abalo, Nerea González, Eva Colás, Antonio Gil‐Moreno, Miguel Abal, Gema Moreno‐Bueno, Therese Sørlie, Kristina Lindemann, Laura Muinelo‐Romay   +15 more
wiley   +1 more source

Multimodal optical imaging for the assessment of the teratogenic effects of ethanol on zebrafish development. [PDF]

J Biomed Opt
Lewis LA, Karim MM, Zevallos-Delgado C, Nia MB, Empie SM, Alwis HHHN, Singh M, Aglyamov S, Lekven AC, Mayerich D, Larin KV.   +10 more
europepmc   +1 more source