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3. Specific Alterations of the MicroRNA Transcriptome, its Target Proteome, and Global Network Structure in CRC after Treatment with MAPKs inhibitors

7. MicroRNA expression profile and network in colorectal carcinoma after chemotherapy

8. The Apoptotic Machinery As A Biological Complex System: Analysis of its Omics and Evolution, Identification of Candidate Genes for Fourteen Types of Cancer and Experimental Validation in CML and Neuroblastoma

11. The Apoptotic Machinery As A Biological Complex System: Analysis of its Omics and Evolution, Identification of Candidate Genes for Fourteen Types of Cancer and Experimental Validation in CML and Neuroblastoma

12. The Apoptotic Machinery As A Biological Complex System: Analysis Of Its Omics And Evolution, Identification Of Candidate Genes For Fourteen Major Types Of Cancer And Experimental Validation in CML And Neuroblastoma

13. The Apoptotic Machinery As A Biological Complex System: Analysis of its Omics, Identification of Candidate Genes for Fourteen Major Types of Cancer and Experimental Validation in CML and Neuroblastoma

21. STAT3 induces breast cancer growth via ANGPTL4, MMP13 and STC1 secretion by cancer associated fibroblasts

22. YTHDC1 m 6 A-dependent and m 6 A-independent functions converge to preserve the DNA damage response.

23. The chromatin-associated lncREST ensures effective replication stress response by promoting the assembly of fork signaling factors.

24. ORC1 binds to cis-transcribed RNAs for efficient activation of replication origins.

25. STAT3 induces breast cancer growth via ANGPTL4, MMP13 and STC1 secretion by cancer associated fibroblasts.

26. LY6K-AS lncRNA is a lung adenocarcinoma prognostic biomarker and regulator of mitotic progression.

28. The DNA damage inducible lncRNA SCAT7 regulates genomic integrity and topoisomerase 1 turnover in lung adenocarcinoma.

29. Gene regulation by long non-coding RNAs and its biological functions.

30. In Vivo Administration of Therapeutic Antisense Oligonucleotides.

31. Identification of RNA-binding proteins in exosomes capable of interacting with different types of RNA: RBP-facilitated transport of RNAs into exosomes.

32. PAN-cancer analysis of S-phase enriched lncRNAs identifies oncogenic drivers and biomarkers.

33. Delivery of Small Interfering RNAs to Cells via Exosomes.

34. Non-coding landscapes of colorectal cancer.

35. Highly skewed distribution of miRNAs and proteins between colorectal cancer cells and their exosomes following Cetuximab treatment: biomolecular, genetic and translational implications.

36. miR-296-3p, miR-298-5p and their downstream networks are causally involved in the higher resistance of mammalian pancreatic α cells to cytokine-induced apoptosis as compared to β cells.

37. Specific alterations of the microRNA transcriptome and global network structure in colorectal cancer after treatment with MAPK/ERK inhibitors.

38. Specific alterations of microRNA transcriptome and global network structure in colorectal carcinoma after cetuximab treatment.

39. MIR152, MIR200B, and MIR338, human positional and functional neuroblastoma candidates, are involved in neuroblast differentiation and apoptosis.

40. Expression profile and specific network features of the apoptotic machinery explain relapse of acute myeloid leukemia after chemotherapy.

41. The apoptotic machinery as a biological complex system: analysis of its omics and evolution, identification of candidate genes for fourteen major types of cancer, and experimental validation in CML and neuroblastoma.

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