Simultaneous quantifications of protein-DNA contacts and transcriptomics in single cells
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PROVIDER: PRJNA427916 | ENA |
REPOSITORIES: ENA
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Project description:Simultaneous quantifications of protein-DNA contacts and transcriptomics in single cells (mESC data)
| PRJNA509260 | ENA
Project description:Simultaneous quantifications of protein-DNA contacts and transcriptomics in single cells (KBM7 data)
| PRJNA509261 | ENA
Project description:Here we present a new version of the DamID method that allows efficient capturing of protein-DNA interactions and mRNA output from the same single cell. With this protocol, we have measured the direct impact of spatial genome positioning and chromatin accessibility on mRNA output in human haploid cells
2019-04-21 | GSE123585 | GEO
Project description:Here we present a new version of the DamID method that allows efficient capturing of protein-DNA interactions and mRNA output from the same single cell. With this protocol, we have measured the direct impact of spatial genome positioning and chromatin accessibility on mRNA output in mouse embryonic stem cells
2019-04-21 | GSE123586 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below.
2019-04-21 | GSE108639 | GEO
Project description: Not available
| S-EPMC6609448 | biostudies-literature
Project description:Background: DNA in the nucleus of a living cell carries out its functions in the context of a complex, three-dimensional chromatin architecture. Several recently developed methods, each an extension of the chromatin conformation capture (3C) assay, have enabled the genome-wide profiling of chromatin contacts between pairs of loci in yeast, fruit fly, human and mouse. Especially in complex eukaryotes, data generated by these methods, coupled with other genome-wide datasets, demonstrated that non-random chromatin folding correlates strongly with cellular processes such as gene expression and DNA replication. Here we describe a novel assay to map genome-wide chromatin contacts, tethered multiple 3C (TM3C), that involves a simple protocol of restriction enzyme digestion and religation of fragments upon agarose gel beads followed by deep DNA paired-end sequencing. In addition to identifying contacts between pairs of loci, TM3C enables identification of contacts among more than two loci simultaneously. Results: We use TM3C to assay the genome architectures of two human cell lines: KBM7, a near-haploid chronic leukemia cell line, and NHEK, a normal diploid human epidermal keratinocyte cell line. We confirm that the contact frequency maps produced by TM3C exhibit features characteristic of existing genome architecture datasets, including the expected scaling of contact probabilities with genomic distance, as well as a low noise-to-signal ratio between inter- and intrachromosomal contacts. We also confirm that TM3C captures several known cell type-specific contacts, ploidy shifts and translocations, such as Ph+ formation in KBM7. Furthermore, we develop a two-phase mapping strategy that separately maps chimeric subsequences within a single read, allowing us to identify contacts involving three or four loci simultaneously, potentially corresponding to combinatorial regulation events. This mapping strategy also greatly increases the number of distinct binary contacts identified and, therefore, the coverage obtained for a fixed number of mapped reads. We confirm a subset of the triplet contacts involving the IGF2-H19 imprinting control region (ICR) using PCR analysis for KBM7 cells. Assaying the genome architecture of a near-haploid cell line allows us to create 3D models of a human cell line without averaging signal from two homologous copies of a chromosome. Our 3D models of KBM7 show clustering of small chromosomes with each other and large chromosomes with each other, consistent with previous studies of the genome architectures of other human cell lines. Conclusion: TM3C is a simple protocol for ascertaining genome architecture and can be used to identify simultaneous contacts among three or four loci. Application of TM3C to a near-haploid human cell line revealed large-scale features of chromosomal organization and complex chromatin loops that may play a role in regulating reciprocal expression of the IGF2 and H19 genes. Analysis of the spatial organization of two human cell lines (KBM7, a near-haploid chronic leukemia cell line, and NHEK, a normal diploid human epidermal keratinocyte cell line) using tethered multiple 3C (TM3C), a novel and simple protocol for ascertaining genome architecture which can be used to identify simultaneous contacts among three or four loci in addition to binary contacts that can be identified using traditional chromosome conformation capture coupled with next generation sequencing (Hi-C).
2015-04-29 | E-GEOD-60623 | biostudies-arrayexpress
Project description:<p>Tick-borne encephalitis virus is an enveloped, pathogenic, RNA virus in the family Flaviviridae, genus Flavivirus. Viral particles are formed when the nucleocapsid, consisting of an RNA genome and multiple copies of the capsid protein, buds through the endoplasmic reticulum membrane and acquires the viral envelope and the associated proteins. The coordination of the nucleocapsid components to the sites of assembly and budding are poorly understood. Here, we investigate nucleocapsid assembly by characterizing the interactions of the wild-type and truncated capsid proteins with membranes by using biophysical methods and model membrane systems. We show that capsid protein initially binds membranes via electrostatic interactions with negatively-charged lipids which is followed by membrane insertion. Additionally, we show that membrane-bound capsid protein can recruit viral genomic RNA. We confirm the biological relevance of the biophysical findings by using mass spectrometry to show that purified virions contain negatively-charged lipids. Our results suggest that nucleocapsid assembly is coordinated by negatively-charged membrane patches on the endoplasmic reticulum and that the capsid protein mediates direct contacts between the nucleocapsid and the membrane.</p>
2023-01-06 | MTBLS6076 | MetaboLights
Project description:Contacts between organelles create microdomains that play major roles in regulating key intracellular activities and signaling pathways, but whether they also directly regulate systemic cellular activities, remains unknown. Here, we report the ultrastructural organization and dynamics of a new type of inter-organelle contact which is formed by rough-Endoplasmic Reticulum that is closely wrapped around the mitochondrion (wrappER). To elucidate the in vivo function of this inter-organelle association, mouse liver fractions enriched in wrappER-associated-mitochondria were analyzed in parallel by transcriptomics, proteomics, and lipidomics. The biochemical signature of the wrappER points to an unexpected role in the biogenesis of very-low-density lipoproteins (VLDLs). Altering wrappER-mitochondria contacts curtails liver VLDL secretion and increases hepatic fatty acids, lipid droplets and neutral lipid content. Conversely, acute liver-specific ablation of Mttp, the most upstream regulator of VLDL biogenesis, mirrors this hepatic dyslipidemia phenotype and promotes remodelling of the wrappER-mitochondria contact. The participation of liver wrappER-mitochondria contacts in VLDL biology reveals a role of inter-organelle contacts in systemic lipid homeostasis.
2021-03-15 | PXD021826 | Pride
Project description:Nowadays, although single-cell multi-omics technologies are undergoing rapid development, simultaneous transcriptome and proteome analysis of a single-cell individual still faces great challenges. Here, we developed a single-cell simultaneous transcriptome and proteome (scSTAP) analysis platform based on microfluidics, high-throughput sequencing and mass spectrometry technology, to achieve deep and joint quantitative analysis of transcriptome and proteome at the single-cell level, providing an important resource for understanding the relationship between transcription and translation in cells. This platform was applied to analyze single mouse oocytes at different meiotic maturation stages, reaching an average quantification depth of 19948 genes and 2663 protein groups in single mouse oocytes.
2023-10-18 | GSE237932 | GEO