Enhancer RNAs (eRNAs) are non-coding RNAs produced from transcriptional enhancers that are highly correlated with their activities. Using capped nascent RNA sequencing (PRO-cap) dataset in human lymphoblastoid cell lines across individuals, we identified inter-individual variation of expression in over 80 thousand transcribed transcriptional regulatory elements (tTREs), in both enhancers and promoters. Co-expression analysis of eRNAs from tTREs across individuals revealed how enhancers interact with each other and with promoters. Mid-to-long range interactions showed distance-dependent decay, which was modified by TF occupancy. In particular, we found a class of 'bivalent' TFs, including Cohesin, which both facilitates and insulates the interaction between enhancers and/or promoters depending on the topology. In short ranges, we observed strand specific interactions between nearby eRNAs in both convergent or divergent orientations. Our finding supports a cooperative convergent eRNA model, which is compatible with eRNA remodeling neighboring enhancers rather than interfering with each other. Therefore, our approach to infer functional interactions from co-expression analyses provided novel insights into the principles of enhancer interactions depending on the distance, orientation, and the binding landscapes of TFs.
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http://dx.doi.org/10.21203/rs.3.rs-2592357/v1 | DOI Listing |
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The University of Iowa, Iowa City, IA, USA.
Efforts to effect racial health disparity (RHD) policy change are urgent, necessary, and subject to a key barrier: defensiveness among White privileged audiences. Within the literature to date, such defensiveness is under-investigated, and when examined, is typically conceived of as an individual cognitive outcome-a message effect-rather than a communication interaction. Yet policy change advocacy efforts, ranging from community organizing to change campaigns, necessitate communication interactions between advocates and privileged policy change audiences, such as neighborhood groups or policymakers themselves.
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January 2025
Emory University, 1510 Clifton Road NE Atlanta, USA.
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View Article and Find Full Text PDFLab Chip
January 2025
Department of Civil Engineering and Computer Science, University of Rome Tor Vergata, Rome, Italy.
Microfluidic impedance cytometry (MIC) is a label-free technique that characterizes individual flowing particles/cells based on their interaction with a multifrequency electric field. The technique has been successfully applied in different scenarios including life-science research, diagnostics, and environmental monitoring. The aim of this review is to illustrate the fascinating opportunities enabled by the integration of MIC with other microfluidic tools.
View Article and Find Full Text PDFAnal Chem
January 2025
Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden 2333ZA, Netherlands.
Thanks to the plummeting costs of continuously evolving omics analytical platforms, research centers collect multiomics data more routinely. They are, however, confronted with the lack of a versatile software solution to harmoniously analyze single-omics and interpret multiomics data. We have developed iSODA, a web-based application for the analysis of single- and multiomics data.
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Graphic Era (Deemed to be University), Clement Town Dehradun, India.
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