R-loop-derived cytoplasmic RNA–DNA hybrids activate an immune response - Nature

United States News News

R-loop-derived cytoplasmic RNA–DNA hybrids activate an immune response - Nature
United States Latest News,United States Headlines
  • 📰 Nature
  • ⏱ Reading Time:
  • 42 sec. here
  • 2 min. at publisher
  • 📊 Quality Score:
  • News: 20%
  • Publisher: 68%

Nature research papers: R-loop-derived cytoplasmic RNA–DNA hybrids activate an immune response - Nature

MCF10A cells into soluble nuclear and cytoplasmic compartments with Lamin B1 and

as markers, respectively. cytoDRIP blot showing cytoplasmic hybrids in asynchronous and serum-starvedMCF10A cells with DMSO or PlaB treatment . Each sample was treated with RH in vitro to confirm the specificity of the hybrid IP. Left, experimental workflow. Right, blots showing hybrids isolated from the cytoplasm or nucleoplasm of siCtrl or siSETX-treated HeLa cells, with mock or LMB treatment prior to harvest. Left, experimental workflow.

is the loading control. GFP ChIP-qPCR in HeLa cells following knockdown of, showing GFP-XPG binding at hybrid sites. ‘Nuc+ Cyto+’ sites were found in the nucleus and cytoplasm, while ‘Nuc+ Cyto-’ sites were only found in the nucleus. Gene names are shown;are intergenic sites. Shown is the mean ± s.d. from three independent biological replicates ; unpaired two-tailed

We have summarized this news so that you can read it quickly. If you are interested in the news, you can read the full text here. Read more:

Nature /  🏆 64. in US

United States Latest News, United States Headlines

Similar News:You can also read news stories similar to this one that we have collected from other news sources.

Anterograde signaling controls plastid transcription via sigma factors separately from nuclear photosynthesis genes - Nature CommunicationsAnterograde signaling controls plastid transcription via sigma factors separately from nuclear photosynthesis genes - Nature CommunicationsPhotoreceptors in the nucleus control plastid transcription by utilizing sigma factors as nucleus-to-plastid signals in parallel with the light regulation of nuclear photosynthesis genes.
Read more »

Enantioselective sensing by collective circular dichroism - NatureEnantioselective sensing by collective circular dichroism - NatureAn array of 2D crystals of isotropic, 432-symmetric chiral gold nanoparticles is shown to exhibit collective resonances with a strong and uniform chiral near field, allowing enantioselective detection by the collective circular dichroism.
Read more »

Coherent momentum control of forbidden excitons - Nature CommunicationsCoherent momentum control of forbidden excitons - Nature CommunicationsHere, the authors integrate a photonic crystal, supporting photonic bound states in the continuum (BICs), with monolayer WSe2, and leverage the high energy confinement of the BIC modes to demonstrate coherent directional dark exciton emission.
Read more »

Wetland emission and atmospheric sink changes explain methane growth in 2020 - NatureWetland emission and atmospheric sink changes explain methane growth in 2020 - NatureUsing both bottom-up and top-down approaches, the record high increase in the methane growth rate in 2020 is attributed mainly to emissions from wetlands, which have been exacerbated by a warmer and wetter climate, and to the reduced atmospheric methane sink, in response to emissions reduction of air pollutants during COVID-19 lockdowns.
Read more »

The Best Movies of the Year: God's Creatures and the Balance of NatureThe Best Movies of the Year: God's Creatures and the Balance of NatureBlending the effects of sexual violence on a community with a rot running through an oyster population, God's Creatures finds a potent metaphor making its message all the deeper.
Read more »

Clustering of single-cell multi-omics data with a multimodal deep learning method - Nature CommunicationsClustering of single-cell multi-omics data with a multimodal deep learning method - Nature CommunicationsSingle-cell multimodal sequencing technologies are developed to simultaneously profile different modalities of data in the same cell. Here the authors develops a multimodal deep clustering method for the analysis of single-cell multi-omics data that supports clustering different types of multi-omics data and multi-batch data, as well as downstream differential expression analysis.
Read more »



Render Time: 2025-03-12 11:23:47