Until recently, the question remains unanswered whether the miRNA targetome regulated by an individual miRNA generally constitutes the biological network of functionally-associated molecules or simply reflects a random set of functionally-independent genes. To address this issue, we attempted to characterize...
Background and objectives Due to the increasing demand for biomarkers in breast cancer we screened the TP53 targetome to discover some novel biomarkers, if any. Methods For this purpose, a TP53 targetome dataset was downloaded and a protein-protein interaction network (PPI) was constructed and anal...
The wide targetome depicted by TRAP unveils diverse regulatory modalities of glycolytic metabolites, and these modalities involve direct perturbation of enzymes in carbohydrate metabolism, intervention of an orphan transcriptional protein’s activity and modulation of targetome-level acetylation. These results ...
www.nature.com/scientificreports OPEN Received: 14 December 2018 Accepted: 2 September 2019 Published: xx xx xxxx Interplay and Targetome of the Two Conserved Cyanobacterial sRNAs Yfr1 andYfr2 in Prochlorococcus MED4 S. Joke Lambrecht1,Yu Kanesaki 2,3, Janina Fuss 4,...
Because of the unique interaction between the sRNAs Yfr2 and Yfr1 or Yfr10, we also used the CRAFD-Seq protocol to elucidate the targetomes of Yfr1 and Yfr10 by using these sRNAs as bait. The reciprocal fishing approach, using Yfr1 or Yfr10 as bait, largely confirmed that Yfr2 and...
Y., Yoo, Y.-J., Kim, J. S., Kim, J.-S., Cho, Y.-Y., Mills, G. B., Kim, W.-Y., Yoon, S. Loss-of-function screens of druggable targetome against cancer stem–like cells. 展开 关键词: CSLC sphere culture lipid profile network analysis siRNA screening ...
The identification of targetomes remains a challenge given the pleiotropic effect of miRNAs, the limited effects of miRNAs on individual targets, and the sheer number of estimated miRNA–target gene interactions (MTIs), which is around 44,571,700. Currently, targetome identification for single miRNAs...
Argonaute CLIP-Seq reveals miRNA targetome diversity across tissue types Peter M. Clark1*{, Phillipe Loher1*, Kevin Quann1, Jonathan Brody2, Eric R. Londin1 & Isidore Rigoutsos1 1Computational Medicine Center, Thomas Jefferson University, Philadelphia, PA, 19107, USA, 2Department of Surgery, ...
In this study, we investigated the targetomes of Yfr2, Yfr1, and Yfr10 inMED4, establishing CRAFD-Seq as a new method for identifying direct targets of these sRNAs that is applicable to all bacteria, including those that are not amenable to genetic modification. The results suggest that ...
We introduce the concept of a unified Cancer Targetome to aggregate drug–target interactions in an evidence-based framework. We discuss current unmet needs and the implications for evidence-based clinical omics. The focus of this review is precision oncology but the discussion is highly relevant to...