Results 171 to 180 of about 3,346,579 (352)
Comprehensive benchmarking of large language models for RNA secondary structure prediction [PDF]
arXivInspired by the success of large language models (LLM) for DNA and proteins, several LLM for RNA have been developed recently. RNA-LLM uses large datasets of RNA sequences to learn, in a self-supervised way, how to represent each RNA base with a semantically rich numerical vector.
arxiv
Molecular Oncology, EarlyView.Tumor microenvironment drives cancer formation and progression. We analyzed the role of human cancer‐associated adipocytes from patients with renal cell carcinoma (RCC) stratified as lean, overweight, or obese. RNA‐seq demonstrated that, among the most altered genes involved in the tumor–stroma crosstalk, are ADAM12 and CYP1B1, which were proven to be ...
Sepehr Torabinejad +13 more
wiley +1 more source
Triplet Analysis That Identifies Unpaired Regions of Functional RNAs
Journal of Nucleic Acids, 2011 We developed a novel method for analyzing RNA sequences, deemed triplet analysis, and applied the method in an in vitro RNA selection experiment in which HIV-1 Tat was the target. Aptamers are nucleic acids that bind a desired target (bait), and to date,
Junji Kawakami +2 more
doaj +1 more source
Influence of viral genes on the cell-to-cell spread of RNA silencing [PDF]
The turnip crinkle virus-based vector TCV–GFPDCP had been devised previously to study cell-to-cell and long-distance spread of virus-induced RNA silencing.
Hong, Yiguo +3 more
core +1 more source
Molecular Oncology, EarlyView.Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran +16 more
wiley +1 more source
NBLDA: Negative Binomial Linear Discriminant Analysis for RNA-Seq Data [PDF]
arXiv, 2015 RNA-sequencing (RNA-Seq) has become a powerful technology to characterize gene expression profiles because it is more accurate and comprehensive than microarrays. Although statistical methods that have been developed for microarray data can be applied to RNA-Seq data, they are not ideal due to the discrete nature of RNA-Seq data.
arxiv
Molecular Oncology, EarlyView.Analysis of ESR1 mutations in plasma cell‐free DNA (cfDNA) is highly important for the selection of treatment in patients with breast cancer. Using multiplex‐ddPCR and identical blood draws, we investigated whether circulating tumor cells (CTCs) and cfDNA provide similar or complementary information for ESR1 mutations.
Stavroula Smilkou +11 more
wiley +1 more source
Molecular Oncology, EarlyView.Triacsin C inhibition of the acyl‐CoA synthetase long chain (ACSL) family decreases multiple myeloma cell survival, proliferation, mitochondrial respiration, and membrane potential. Made with Biorender.com. Multiple myeloma (MM) is an incurable cancer of plasma cells with a 5‐year survival rate of 59%.
Connor S. Murphy +12 more
wiley +1 more source
Isolation of Unknown Genes from Human Bone Marrow by Differental Screening and Single-Pass cDNA Sequences Determination [PDF]
, 1994 A cDNA sequencing project was initiated to characterize gene expression in human bone marrow and develop strategies to isolate novel genes. Forty-eight random cDNAs from total human bone marrow were subjected to single-pass DNA sequence analysis to ...
Hood, Leroy +7 more
core
Molecular Oncology, EarlyView.Prostate cancer is a leading malignancy with significant clinical heterogeneity in men. An 11‐gene signature derived from dysregulated epithelial cell markers effectively predicted biochemical recurrence‐free survival in patients who underwent radical surgery or radiotherapy.
Zhuofan Mou, Lorna W. Harries
wiley +1 more source