Results 181 to 190 of about 963,524 (371)
Identification of cyanobacterial non-coding RNAs by comparative genome analysis. [PDF]
Ilka M. Axmann+5 more
openalex +1 more source
Analysis of treatment‐naïve high‐grade serous ovarian carcinoma (HGSOC) and control tissues for ERVs, LINE‐1 (L1), inflammation, and immune checkpoints identified five clusters with diverse patient recurrence‐free survivals. An inflammation score was calculated and correlated with retroelement expression, where one novel cluster (Triple‐I) with high ...
Laura Glossner+6 more
wiley +1 more source
A DIA‐MS‐based proteomics analysis of serum samples from GB patients and healthy controls showed that high levels of IL1R2 and low levels of CRTAC1 and HRG in serum are associated with poor survival outcomes for GB patients. These circulating proteins could serve as biomarkers for the prediction of outcome in patients with GB.
Anne Clavreul+11 more
wiley +1 more source
Potential structural role of non-coding and coding RNAs in the organization of the cytoskeleton at the vegetal cortex of Xenopusoocytes [PDF]
openalex +1 more source
Non-coding RNA networks in cancer
E. Anastasiadou, Leni S. Jacob, F. Slack
semanticscholar +1 more source
Human cytomegalovirus infection is common in normal prostate epithelium, prostate tumor tissue, and prostate cancer cell lines. CMV promotes cell survival, proliferation, and androgen receptor signaling. Anti‐CMV pharmaceutical compounds in clinical use inhibited cell expansion in prostate cancer models in vitro and in vivo, motivating investigation ...
Johanna Classon+13 more
wiley +1 more source
IGF2BP2‐induced circRNF20 facilitates breast cancer cell proliferation via the HuR/CDCA4 axis
This study aimed to explore the mechanism of insulin‐like growth factor 2 mRNA‐binding protein 2 (IGF2BP2) affecting the proliferation of breast cancer (BC) cells.
Shu‐Tao Wu+6 more
doaj +1 more source
EFFICIENT ANNOTATION OF NON-CODING RNA STRUCTURES INCLUDING PSEUDOKNOTS VIA AUTOMATED FILTERS [PDF]
Chunmei Liu+4 more
openalex +1 more source
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi+2 more
wiley +1 more source